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  • deep learning  (377)
  • T1-995  (346)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Non-Newtonian (non-linear) fluids are common in nature, for example, in mud and honey, but also in many chemical, biological, food, pharmaceutical, and personal care processing industries. This Special Issue of Fluids is dedicated to the recent advances in the mathematical and physical modeling of non-linear fluids with industrial applications, especially those concerned with CFD studies. These fluids include traditional non-Newtonian fluid models, electro- or magneto-rheological fluids, granular materials, slurries, drilling fluids, polymers, blood and other biofluids, mixtures of fluids and particles, etc.
    Keywords: TA1-2040 ; T1-995 ; Poiseuille–Couette flow ; membrane ; viscous fluid ; channel flow ; existence theorem ; yield stress ; hemoglobe capacitor ; creeping flows ; viscoplastic fluids ; projection method ; power-law fluid ; first- and second-order slip ; Mittag–Leffler ; lubrication ; viscoplastic fluid ; rupture ; convection ; Re numbers ; enhanced oil recovery (EOR) ; SPH-FEM ; Gamma densitometer ; oil recovery ; non-newtonian fluids ; marginal function ; particle interaction ; computational fluid dynamics ; non-isothermal flows ; suspensions ; Brinkman equation ; lubrication approximation (76A05 ; lid-driven cavity ; smoothed particle hydrodynamics (SPH) ; 76D08 ; Phan-Thien–Tanner (PTT) model ; bubble suspension ; porous media ; non-equilibrium thermodynamics ; porous medium ; suspension viscosity ; hemoglobin ; convection-diffusion ; slug translational velocity ; closure relationship ; non-linear fluids ; wormlike micellar solutions (WMS) ; high viscosity oil ; viscoelastic surfactants (VES) ; 76A20) ; meshless ; Bingham fluid ; Reynolds equation ; generalised simplified PTT ; dense suspension ; chemical EOR (cEOR) ; buoyancy force ; viscosity ratio ; aspect ratio ; rheology ; lubrication approximation ; fluid-solid interaction (FSI) ; optimal control ; natural convection ; biofluids ; shear-dependent viscosity ; thermodynamic capacitor ; shear-thinning ; stokesian dynamics ; weak solution ; biological capacitor ; cement ; variable viscosity ; Couette flow ; pressure boundary conditions ; inhomogeneous fluids ; boundary control ; similarity transformation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The development of solid state gas sensors based on microtransducers and nanostructured sensing materials is the key point in the design of portable measurement systems able to reach sensing and identification performance comparable with analytical ones. In such a context several efforts must be spent of course in the development of the sensing material, but also in the choice of the transducer mechanism and its structure, in the electrical characterization of the performance and in the design of suitable measurement setups. This call for papers invites researchers worldwide to report about their novel results on the most recent advances and overview in design and measurements for applications in gas sensors, along with their relevant features and technological aspects. Original research papers are welcome (but not limited) on all aspects that focus on the most recent advances in: (i) basic principles and modeling of gas and VOCs sensors; (ii) new gas sensor principles and technologies; (iii) Characterization and measurements methodologies; (iv) transduction and sampling systems; (vi) package optimization; (vi) gas sensor based systems and applications.
    Keywords: TA1-2040 ; T1-995 ; indium oxide ; n/a ; environmental monitoring ; semiconductor ; gas sensor ; packed gas chromatographic column ; ultrathin carbon layer ; metal-oxide-semiconductor array sensor ; halitosis ; laser ablation ; capacitive micromachined ultrasonic transducers (CMUT) ; LTCC side via ; MEMS ; indirect packaging ; gas sensing ; efficiency ; bad breath ; electrospray ; array optimization ; low temperature co-fired ceramic (LTCC) ; electronic nose ; UV irradiation ; core/shell nanostructure ; combinatorial and high-throughput technique ; sensitive material ; hydrogen sulfide ; CO detection ; ZnO ; amperometric ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 3
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.
    Keywords: composites ; multi-scale ; embedded damage ; non-destructive testing ; photoacoustic ; ultrasonic representation ; terahertz ; coded-aperture imaging ; convolution neural network (CNN) ; fast image reconstruction ; nondestructive evaluation ; acoustic nonlinearity parameter ; indirect method ; laser ultrasound ; fully non-contact ; surface acoustic wave ; UWB-PPM ; UWB-OOK ; buried objects ; nondestructive environment ; Levenberg–Marquardt method ; textured surface anomaly detection ; computer vision ; deep learning ; attention mechanism ; adaptive fusion ; power quality disturbances ; long short term memory ; convolutional neural network ; short time Fourier transform ; leaky Lamb wave ; semi-analytical finite element (SAFE) ; waveguide sensor ; finite-width plate ; waveguide plate ; width modes ; spatial beating ; Rayleigh–Sommerfeld integral (RSI) ; weld cracks ; eddy current nondestructive testing ; gradiently relative magnetic permeability ; heat affected zone ; austenitic stainless steel ; circulating fluidized bed combustion boiler ; water-cooled wall tube ; magnetic sensor array ; magnetic flux density ; flexible ultrasonic probe ; neutron irradiation embrittlement ; reactor pressure vessel ; magnetic nondestructive evaluation ; micromagnetic multiparameter microstructure and stress analysis 3MA ; magnetic adaptive testing ; 3D imaging of metal grains ; non-destructive testing methods ; stacking images ; SA106 carbon steel ; terahertz waves ; refractive index ; thickness measurement ; Shim stock films ; composite materials ; reflection mode ; neutron radiography ; Bragg-edge imaging ; gas tungsten arc welding (GTAW) ; low transformation temperature (LTT) steel ; austenite-to-martensite transformation ; Debye–Waller factor ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-23
    Description: This Special Issue includes contributions about occupants’ sustainable living in buildings and communities, highlighting issues surrounding the sustainable development of our environments and lives by emphasizing smart and green design perspectives. This Special Issue specifically focuses on research and case studies that develop promising methods for the sustainable development of our environment and identify factors critical to the application of a sustainable paradigm for quality of life from a user-oriented perspective. After a rigorous review of the submissions by experts, fourteen articles concerning sustainable living and development are published in this Special Issue, written by authors sharing their expertise and approaches to the concept and application of sustainability in their fields. The fourteen contributions to this special issue can be categorized into four groups, depending on the issues that they address. All the proposed methods, models, and applications in these studies contribute to the current understanding of the adoption of the sustainability paradigm and are likely to inspire further research addressing the challenges of constructing sustainable buildings and communities resulting in a sustainable life for all of society.
    Keywords: sustainability ; regionalism ; climate ; unit plan ; apartment ; Singapore ; Korea ; sustainable architecture ; space syntax ; partitioning theory ; total depth ; intelligibility ; movement economies ; architecture ; building performance simulation ; performance-based design ; agent-based model ; Gaussian process ; electroencephalography ; virtual reality ; monument architecture ; stress ; data visualization ; deep learning ; smart building ; interactive experience ; “five senses” interaction ; people-oriented ; embedding ; recommender system ; collaborative filtering ; housing preference ; housing decision ; human behavior simulation ; virtual users ; social sustainability ; performance analysis ; evaluation method ; architectural design education ; eye tracking ; virtual environment ; street robbery ; CPTED ; crime prevention ; fixation count ; people with physical disabilities ; job retention ; path analysis ; perceived workplace safety ; workplace disability facilities ; work satisfaction ; social housing ; social economy actors ; Seoul ; South Korea ; sustainable development ; sustainable design ; energy efficiency ; public rental housing ; building simulation ; elderly ; biophilia ; biophilic experience ; smart home ; smart-home service ; service framework ; water distribution ; water war ; conflict ; ownership ; divided Cyprus ; blue-collar workers ; intervention study ; health promotion ; cardiovascular disease ; n/a ; thema EDItEUR::A The Arts ; thema EDItEUR::A The Arts::AM Architecture
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-06-23
    Description: The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the face of hydro-geo-meteorological uncertainty, AI approaches have proven to be powerful tools for accurately modeling complex, nonlinear hydrological processes and effectively utilizing various digital and imaging data sources, such as ground gauges, remote sensing tools, and in situ Internet of Things (IoT) devices. The thirteen research papers published in this Special Issue make significant contributions to long- and short-term hydrological modeling and water resources management under changing environments using AI techniques coupled with various analytics tools. These contributions, which cover hydrological forecasting, microclimate control, and climate adaptation, can promote hydrology research and direct policy making toward sustainable and integrated water resources management.
    Keywords: ANN ; roadside IoT sensors ; simulations of the gridded rainstorms ; 2D inundation simulation and real-time error correction ; weather types and features ; meteorological feature extraction ; artificial neural network ; self-organizing map (SOM) ; urban agriculture ; resource utilization efficiency ; urban northern Taiwan ; machine learning ; random forest ; regression analysis ; support vector machine ; threshold rainfall ; threshold runoff ; XGBoost ; stochastic rainfall generator ; Huff rainfall curve ; copula ; GeoAI ; artificial intelligence ; hydrological ; hydraulic ; fluvial ; water quality ; geomorphic ; modeling ; anomaly detection ; deep reinforcement learning ; telemetry water level ; time series ; ensemble ; multi-model ensemble ; precipitation ; forecasting ; persian gulf ; deep learning ; dam inflow ; RNN ; LSTM ; GRU ; hyperparameter ; rainfall time series ; artificial neural networks ; Multiple Linear Regression ; Chania ; CNN ; ELM ; temporary rivers ; hydrological extremes ; multivariate stochastic model ; autoregressive model ; Markov model ; daily temperature ; temperature generator ; Bayesian neural network ; forecasting uncertainty ; multi-step ahead forecasting ; probabilistic streamflow forecasting ; variational inference ; smart microclimate-control system (SMCS) ; system dynamics ; water–energy–food nexus ; agricultural resilience ; hydroinformatics ; hydrological modeling ; early warning ; uncertainty ; sustainability
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  • 6
    Publication Date: 2024-04-11
    Description: This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.
    Keywords: TA1-2040 ; T1-995 ; rough sets ; interval type-2 fuzzy set (IT2FS) ; resources distribution ; the criteria of the weights ; public management ; Step-wise Weight Assessment Ratio Analysis (SWARA) ; multi-criteria decision-making (MCDM) ; symmetry of the method ; quadcopter ; transaction cost ; full fuzzy environment ; dual generalized geometric Bonferroni mean (DGGBM) operator ; data logger ; information theory ; control system ; salvage value ; nonlinear dynamics ; pattern formation ; oscillations ; stability ; Pythagorean fuzzy set ; FAHP ; fuzzy sets ; group decision-making ; generalized Bonferroni mean (GBM) operator ; probabilistic systems analysis ; economic decisions ; 2-tuple linguistic neutrosophic numbers set (2TLNNSs) ; evaluating the quality of distant courses ; subjective weights ; Z-numbers ; green supplier selection ; dual generalized Bonferroni mean (DGBM) operator ; normal cloud ; thrust ; sensor ; neutrosophic numbers ; MCDM ; Bayes’ theorem ; optimal dividend ; logistics ; measurement ; hybrid MCDM ; combining the weights ; data envelopment analysis ; criteria weights ; multiple attribute decision making (MADM) ; IDOCRIW ; excess-of-loss reinsurance ; fuzzy efficiency ; multiple-criteria decision-making (MCDM) ; MCGDM ; transport ; backward cloud transformation ; engineering problems ; rough ARAS ; capital injection ; performance ; Bonferroni mean (BM) operator ; green supply chain management ; population sizes ; hybrid problem solution models ; criteria weight assessment ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products.
    Keywords: sensory ; physicochemical measurements ; artificial neural networks ; near infra-red spectroscopy ; wine quality ; machine learning modeling ; weather ; consumer acceptance prediction ; data fusion ; emotion recognition ; facial expression recognition ; galvanic skin response ; machine learning ; neural networks ; sensory analysis ; avocado ; cultivars ; preference mapping ; sensory evaluation ; sensory descriptive analysis ; consumer science ; unifloral honeys ; botanical origin ; physicochemical parameters ; classification ; natural language processing ; deep learning ; sensory science ; flavor lexicon ; long short-term memory ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::T Technology, engineering, agriculture
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The proliferation of powerful but cheap devices, together with the availability of a plethora of wireless technologies, has pushed for the spread of the Wireless Internet of Things (WIoT), which is typically much more heterogeneous, dynamic, and general-purpose if compared with the traditional IoT. The WIoT is characterized by the dynamic interaction of traditional infrastructure-side devices, e.g., sensors and actuators, provided by municipalities in Smart City infrastructures, and other portable and more opportunistic ones, such as mobile smartphones, opportunistically integrated to dynamically extend and enhance the WIoT environment. A key enabler of this vision is the advancement of software and middleware technologies in various mobile-related sectors, ranging from the effective synergic management of wireless communications to mobility/adaptivity support in operating systems and differentiated integration and management of devices with heterogeneous capabilities in middleware, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. The book presents state-of-the-art contributions in the articulated WIoT area by providing novel insights about the development and adoption of middleware solutions to enable the WIoT vision in a wide spectrum of heterogeneous scenarios, ranging from industrial environments to educational devices. The presented solutions provide readers with differentiated point of views, by demonstrating how the WIoT vision can be applied to several aspects of our daily life in a pervasive manner.
    Keywords: TA1-2040 ; T1-995 ; container ; fog computing ; virtual reality ; privacy and security ; software defined infrastructure ; intelligent medical service ; very long instruction word (VLIW) ; semantics ; privacy leakage detection ; context information ; post-copy ; ontology ; body area network ; DSP ; Internet-of-Things ; Mobile Device Management ; interoperability ; Android ; water consumption ; Processing-in-Memory ; performance analysis ; semantic ; mobility ; data management ; CRIU ; training simulator ; Industry 4.0 ; sensor networks ; experimental evaluation ; programming paradigm ; pre-copy ; microservice-oriented platform ; CubeSats ; middleware ; registry ; smart metering ; big data analytics ; nanosatellites ; medium access control ; Internet of Things ; heterogeneity ; web-of-things ; one-to-one computing educational program ; Web-of-Things ; internet of things ; instruction set extension ; microservices architecture ; migration ; behaviour ; wireless access networks ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Photoacoustic (or optoacoustic) imaging, including photoacoustic tomography (PAT) and photoacoustic microscopy (PAM), is an emerging imaging modality with great clinical potential. PAI’s deep tissue penetration and fine spatial resolution also hold great promise for visualizing physiology and pathology at the molecular level. PAI combines optical contrast with ultrasonic resolution, and is capable of imaging at depths of up to 7 cm with a real-time scalable spatial resolution of 10 to 500 µm. PAI has demonstrated applications in brain imaging and cancer imaging, such as breast cancer, prostate cancer, ovarian cancer etc. This Special Issue focuses on the novel technological developments and pre-clinical and clinical biomedical applications of PAI. Topics include but are not limited to: brain imaging; cancer imaging; image reconstruction; quantitative imaging; light source and delivery for PAI; photoacoustic detectors; nanoparticles designed for PAI; photoacoustic molecular imaging; photoacoustic spectroscopy.
    Keywords: photoacoustic imaging ; tomography ; thermoacoustic ; radio frequency ; image quality assessment ; image formation theory ; image reconstruction techniques ; sparsity ; signal processing ; deconvolution ; empirical mode decomposition ; signal deconvolution ; photoacoustics ; tissue characterization ; absorption ; Photoacoustic Computed Tomography (PACT) ; ring array ; fast imaging ; low cost ; photoacoustic tomography ; full-field detection ; wave equation ; final time inversion ; uniqueness ; stability ; iterative reconstruction ; 3D photoacoustic tomography ; full-view illumination and ultrasound detection ; photoacoustic coplanar ; quartz bowl ; correlation matrix filter ; time reversal operator ; photo-acoustic tomography ; reflection artifacts ; deep learning ; convolutional neural network ; time reversal ; Landweber algorithm ; U-net ; optoacoustic imaging ; respiratory gating ; motion artifacts ; full-ring illumination ; diffused-beam illumination ; point source illumination ; ultrasound tomography (UST) ; photoacoustic tomography (PAT) ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Research on radiation-tolerant electronics has increased rapidly over the past few years, resulting in many interesting approaches to modeling radiation effects and designing radiation-hardened integrated circuits and embedded systems. This research is strongly driven by the growing need for radiation-hardened electronics for space applications, high-energy physics experiments such as those on the Large Hadron Collider at CERN, and many terrestrial nuclear applications including nuclear energy and nuclear safety. With the progressive scaling of integrated circuit technologies and the growing complexity of electronic systems, their susceptibility to ionizing radiation has raised many exciting challenges, which are expected to drive research in the coming decade. In this book we highlight recent breakthroughs in the study of radiation effects in advanced semiconductor devices, as well as in high-performance analog, mixed signal, RF, and digital integrated circuits. We also focus on advances in embedded radiation hardening in both FPGA and microcontroller systems and apply radiation-hardened embedded systems for cryptography and image processing, targeting space applications.
    Keywords: TA1-2040 ; TK1-9971 ; T1-995 ; single event effects ; n/a ; radiation-hardening-by-design (RHBD) ; frequency divider by two ; single event upset ; Image processing ; CMOS analog integrated circuits ; FPGA ; total ionizing dose (TID) ; Impulse Sensitive Function ; soft error ; hardening by design ; radiation hardening by design ; X-rays ; Single-Event Upsets (SEUs) ; line buffer ; heavy ions ; VHDL ; FPGA-based digital controller ; radiation hardening by design (RHBD) ; radiation hardening ; SRAM-based FPGA ; proton irradiation ; ring oscillator ; sensor readout IC ; fault tolerance ; space application ; physical unclonable function ; voltage controlled oscillator (VCO) ; Ring Oscillators ; analog single-event transient (ASET) ; single event opset (SEU) ; SEB ; single event upsets ; bipolar transistor ; total ionizing dose ; protons ; triple modular redundancy (TMR) ; gain degradation ; space electronics ; saturation effect ; configuration memory ; Co-60 gamma radiation ; total ionization dose (TID) ; frequency synthesizers ; CMOS ; PLL ; TDC ; single-event upsets (SEUs) ; bandgap voltage reference (BGR) ; 4MR ; single-shot ; error rates ; Radiation Hardening by Design ; soft errors ; heavy-ions ; single-event effects (SEE) ; single event transient (SET) ; SEE testing ; proton irradiation effects ; RFIC ; single event upset (SEU) ; FMR ; ionization ; radiation tolerant ; triplex–duplex ; neutron irradiation effects ; digital integrated circuits ; single event gate rupture (SEGR) ; power MOSFETs ; ring-oscillator ; selective hardening ; voltage reference ; nuclear fusion ; TMR ; gamma-rays ; gamma ray ; instrumentation amplifier ; radiation effects ; reference circuits ; radiation-hardened ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 11
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).
    Keywords: TA1-2040 ; T1-995 ; NSGA-II ; wind force ; wavelet packet decomposition ; structural health monitoring ; amplitude spectrum ; environmental noise ; patch antenna ; damage identification ; event-triggered sensing ; Particle Swarm Optimization (PSO) algorithm ; high-speed train ; low-velocity impacts ; concrete structures ; sensors distribution optimization ; acceleration ; digital sampling moiré ; crack ; displacement sensor ; length effect ; FBG sensor array ; SHM ; space window ; Bayesian blind source separation ; feature selection ; stress detection ; wheel minor defect ; strain ; uniaxial stress measurement ; turbine ; impact identification ; helical antenna ; energy analysis of wavelet band ; strain wave ; time window ; structural steel members ; steel frame ; acoustoelastic effect ; demand-based nodes ; online wayside detection ; sensor ; bridge ; sensitivity ; acoustic emission ; bending stiffness ; wireless smart sensors ; distributed dense sensor network ; mapping construction ; data fusion ; fuzzy classification ; shear-wave birefringence ; normal mode ; piezoelectric wafer active sensors ; resonant frequency ; electromagnetic oscillation ; settlement ; sensor optimization ; modal frequencies ; perturbation theory ; feature extraction ; Virtual Distortion Method (VDM) ; reflective optical sensor ; fibre bundle ; smartphones ; crack identification ; active sensing ; test vehicle ; calibration ; stretching method ; model updating ; rotary ultrasonic array ; 2D crack growth ; data processing ; damage detection ; impactor stiffness ; tip clearance ; transmission tower ; phase spectrum ; concrete crack ; structural impact monitoring ; shaking table tests ; optical crack growth sensor ; steel strand ; passive sensing ; sudden event monitoring ; aero engine ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; swarm-robotics ; drag-based system ; PID algorithm ; human–robot interaction ; behaviour dynamics ; state constraints ; fair optimisation ; micro mobile robot ; robot ; actuators ; high-gain observer ; turning model LIP ; space robot ; manipulation action sequences ; subgoal graphs ; remotely operated vehicle ; constrained motion ; joint limit avoidance ; curvilinear obstacle ; rehabilitation system ; stability criterion ; system design ; quad-tilt rotor ; iterative learning ; spiral curve ; cable detection ; SEA ; douglas–peuker polygonal approximation ; predictable trajectory planning ; ATEX ; obstacle avoidance system ; kinematic singularity ; collision avoidance ; biologically-inspired ; jumping robot ; differential wheeled robot ; design and modeling ; control efficacy ; robotics ; extremum-seeking ; object-oriented ; non-holonomic mobile robot ; magneto-rheological fluids ; rendezvous consensus ; altitude controller ; master-slave ; switching control ; deep reinforcement learning ; mechanism ; expansion logic strategy ; negative buoyancy ; action generation ; radial basis function neural networks ; unmanned aerial vehicles ; extend procedure ; glass façade cleaning robot ; convolutional neural network ; climbing robot ; micro air vehicle ; car-like kinematics ; variable speed ; machine learning ; dynamical model ; transportation ; geodesic ; unmanned surface vessel ; medical devices ; stopper ; extended state observer (ESO) ; high efficiency ; object mapping ; multi-objective optimization ; hybrid robot ; robot learning ; auto-tuning ; cable disturbance modeling ; manipulation planning ; pesticide application ; high-speed target ; sparse pose adjustment (SPA) ; service robot ; lumped parameter method ; Geometric Algebra ; dynamic coupling analysis ; Thau observer ; tri-tilt-rotor ; industrial robotic manipulator ; hardware-in-the-loop simulation ; robotic drilling ; muscle activities ; small size ; chameleon ; continuous hopping ; wall climbing robot ; hover mode ; 3D-SLAM ; curvature constraints ; PSO ; drilling end-effector ; Rodrigues parameters ; gait adaptation ; static environments ; position/force cooperative control ; snake-like robot ; shape-fitting ; powered exoskeleton ; input saturation ; kinematic identification ; methane ; human–machine interactive navigation ; q-learning ; path following ; hopping robot ; mobile manipulation ; high step-up ratio ; actuatorless ; monocular vision ; stability analysis ; compact driving unit ; snake robot ; non-holonomic robot ; curvature constraint ; phase-shifting ; dialytic elimination ; gesture recognition ; snake robots ; series elastic actuator ; flapping ; servo valve ; motion camouflage control ; biomimetic robot ; minimally invasive surgery robot ; centralized architecture ; trajectory planning ; computing time ; adaptive control law ; kinematics ; facial and gender recognition ; single actuator ; victim-detection ; shape memory alloys ; undiscovered sensor values ; discomfort ; Differential Evolution ; numerical evaluation ; quadruped robot ; coverage path planning ; localization ; MPC ; n/a ; fault diagnosis ; neural networks ; disturbance-rejection control ; sample gathering problem ; cart ; bio-inspired robot ; opposite angle-based exact cell decomposition ; optimization ; safety ; goal exchange ; hierarchical planning ; ocean current ; robot motion ; nonlinear differentiator ; mapping ; finite-time currents observer ; Newton iteration ; inverse kinematics ; deposition uniformity ; spatial pyramid pooling ; hierarchical path planning ; end effector ; head-raising ; fault recovery ; LOS ; path tracking ; non-inertial reference frame ; step climbing ; obstacle avoidance ; sliding mode control ; symmetrical adaptive variable impedance ; lane change ; quadcopter UAV ; singularity analysis ; biped mechanism ; fault-tolerant control ; dynamic neural networks ; mobile robots ; data association ; UAV ; enemy avoidance ; reinforcement learning ; grip optimization ; safety recovery mechanism ; exoskeleton ; dynamic environment ; uncertain environments ; hybrid bionic robot ; potential field ; robot navigation ; cleaning robot ; unmanned aerial vehicle ; non-singular fast-terminal sliding-mode control ; contact planning ; Lyapunov-like function ; piezoelectric actuator ; transition mode ; non-prehensile manipulation ; multiple mobile robots ; Tetris-inspired ; real-time action recognition ; integral line-of-sight ; topological map ; alpine ski ; target tracking ; closed-loop detection ; working efficiency ; mathematical modeling ; curve fitting ; force control ; biped robots ; NSGA-II ; mobile robot ; load carriage ; prescription map translation ; artificial fish swarm algorithm ; Q-networks ; self-reconfigurable robot ; G3-continuity ; autonomous vehicle ; loop closure detection ; excellent driver model ; robots ; graph representation ; regional growth ; target assignment ; evolutionary operators ; intelligent mobile robot ; motion sensor ; exploration ; droplets penetrability ; dynamic uncertainty ; simultaneous localization and mapping (SLAM) ; area decomposition ; multi-criteria decision making ; 4WS4WD vehicle ; biped climbing robots ; skiing robot ; ROS ; decision making ; smart materials ; centrifugal force ; missile control system ; formation of robots ; electro-rheological fluids ; pneumatics ; variable spray ; inertial measurement unit (IMU) ; Robot Operating System ; trajectory interpolation ; formation control ; immersion and invariance ; dragonfly ; parallel navigation ; harmonic potential field ; pallet transportation ; mobile robot navigation ; negative-buoyancy ; grip planning ; manipulator ; position control ; external disturbance ; legged robot ; passive skiing turn ; autonomous underwater vehicle (AUV) ; gait cycle ; path planning ; sliding mode observer ; dynamic gait ; self-learning ; polyomino tiling theory ; coalmine ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue gathers research from different branches of science and engineering disciplines working on experiments and modelling of nanocomposites into one volume. The Guest Editor welcomes papers dedicated to experimental, computational, and theoretical aspects dealing with many important state-of-the-art technologies and methodologies regarding the synthesis, fabrication, characterization, properties, design, and applications, and both finite element analysis and molecular dynamic simulations, of nanocomposite materials and structures. Full papers covering novel topics, extending the frontiers of the science and technology of nanoreinforced composites are encouraged. Reviews covering topics of major interest will be also considered.
    Keywords: TA1-2040 ; T1-995 ; ab initio ; critical yield strength ; carbon nanotube ; impact buckling ; elasticity ; molecular dynamics simulation ; magnetism ; coarse-grained model ; 3D fiber-metal laminates ; mechanical property ; interface ; nanocomposites ; interface force fields ; YN ; graphene/Fe composite ; cohesive element ; stability ; ScN ; delamination propagation ; interfaces ; graphene nanoplatelets ; nanoindentation ; pressure ; molecular dynamics ; piezoelectric property ; temperature effect ; Fe-Al ; hardness ; equivalent fiber ; disorder ; Fe3Al ; elastic modulus ; delamination buckling ; CNT agglomeration ; CNTs/epoxy nanocomposites ; boron nitride honeycomb ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The bioeconomy initially focused on resource substitution, including the production of biomass from various resources; its conversion, fractionation, and processing by means of biotechnology; and chemistry and process engineering towards the production and marketing of food, feed, fuel, and fibre. Nevertheless, although resource substitution is still considered important, the emphasis has been recently shifted to the biotechnological innovation perspective of the bioeconomy, in terms that ensure environmental sustainability. It is estimated that around one-third of the food produced for human consumption is wasted throughout the world, posing not only a sustainability problem related to food security but also a significant environmental problem. Food waste streams, mainly derived from fruits and vegetables, cereals, oilseeds, meat, dairy, and fish processing, have unavoidably attracted the interest of the scientific community as an abundant reservoir of complex carbohydrates, proteins, lipids, and functional compounds, which can be utilized as raw materials for added-value product formulations. This Special Issue focuses on innovative and emerging food and by-products processing methods for the sustainable transition to a bioeconomy era.
    Keywords: TP248.13-248.65 ; T1-995 ; ash content ; sorghum milling waste ; lipids ; compost ; oleic acid ; microbial oil ; bioprocess development ; glucoamylase ; fatty acid methyl esters ; oleaginous yeast ; integrated biorefineries ; biorefineries ; hydrophobic substrates ; food processing ; hydrophilicity ; biodiesel ; films ; biodegradability ; clarified butter sediment waste ; submerged fungal fermentation ; blood plasma protein powder ; Morchella ; hydrogels ; heat-induced gelation ; sustainability ; bacterial cellulose ; bioprocesses ; circular economy ; olive waste ; prebiotics ; Rhodosporidium toruloides ; carotenoids ; waste valorization ; glucosamine ; food-processing ; size exclusion chromatography (SEC) ; bioeconomy ; food waste valorization ; whey proteins ; arabinoxylan ; Ostwald ripening ; emulsion ; emulsifier ; food biotechnology ; drying method ; polysaccharides ; food packaging ; texture ; lactose esters ; morel mushrooms ; circular-economy ; solid state fermentation ; bioactive compounds ; edible films ; hydrolysis ; Aspergillus awamori ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is a collection of recent publications from researchers all over the globe in the broad area of high-voltage engineering. The presented research papers cover both experimental and simulation studies, with a focus on topics related to insulation monitoring using state-of-the-art sensors and advanced machine learning algorithms. Special attention was given in the Special Issue to partial discharge monitoring as one of the most important techniques in insulation condition assessment. Moreover, this Special Issue contains several articles which focus on different modeling techniques that help researchers to better evaluate the condition of insulation systems. Different power system assets are addressed in this book, including transformers, outdoor insulators, underground cables, and gas-insulated substations.
    Keywords: TA1-2040 ; T1-995 ; artificial neural network ; simulation ; high-frequency ; artificial flashover tests ; wide bandgap power modules ; tracking ; electrical field strength ; fast-rise square wave voltages ; FDTD simulation ; cable joint ; corona discharge ; feature selection ; post insulator ; earthing systems ; wind speed ; surface discharge ; oil/paper insulation ; oil-paper insulation ; high-magnitude currents and impulse polarity ; UFVM ; Tettex 9520 ; electrical tree ; flashover characteristics ; composite insulator ; partial discharge ; numerical modeling ; saline mechanism ; thermal parameters ; space charge density ; seasonal ; ion flow field ; denoising ; DDX 9121b ; temperature ; transformer asset management ; cavity discharge ; space/interface charge ; insulation health index ; heat transfer model ; leakage current ; machine learning ; partial discharges (PD) ; RF signal ; flashover ; high impulse conditions ; grounding electrodes ; generalized finite difference time domain ; curve fitting ; grounding ; plasma discharge ; outdoor insulators ; flashover dynamic model ; wavelet transform ; degradation ; thermal properties ; bipolar charge transport model ; UHF sensor ; cable ; random walk theory ; tracking test setup ; GIL ; pressure ; modelling ; non-uniform pollution between windward and leeward sides ; calibrator ; secondary arc ; polymeric insulation ; optical-UHF integrated detection ; shoreline ; dry band arcing ; photoelectric fusion pattern ; DDX 8003 ; XLPE ; silicone gel ; partial discharge modeling ; electric field analysis ; NSCT ; electrode’s geometry ; gas ; Comsol Multiphysics ; fast-impulses ; laying modes ; ageing ; cable ampacity ; residual resistance formulation ; finite element analysis ; thermal effect ; hydrophobicity ; soil resistivity ; charge simulation method ; short-circuit discharge ; dry band formation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 16
    Publication Date: 2024-04-11
    Description: Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ?and transport.
    Keywords: TA1-2040 ; T1-995 ; n/a ; Romanian coastal environment ; neural networks ; intermittent heating ; wind velocities ; time-space network ; optimal chiller loading (OCL) ; renewable energy ; pure electric buses ; mixed-integer non-linear programming problem (MINLP) ; control system ; FANP ; energy consumption ; load regulation ; energy ; smart box ; novel method ; smart logistics system ; multiple uncertainties ; non-intrusive load monitoring ; wind speed forecasting ; solid waste to energy plant ; uncertain cooling demand ; dual robust optimization ; Black Sea ; field test and numerical simulation ; electric power ; sustainable development ; multi-type bus operating organization ; cuckoo search algorithm ; vehicular emissions ; SWAN ; public transport ; product quality model ; MCDM ; TOPSIS ; heat transfer ; solar energy ; forecasting validity ; information gap decision theory (IGDT) ; photovoltaic systems ; configurations of internal wall ; ensemble empirical mode decomposition ; agricultural pruning ; hot summer and cold winter climate zone ; energy and environmental systems ; feature extraction ; information platform ; pruning biomass ; smart grid ; product usability testing ; meteorological variables ; fuzzy logic ; performance evaluation ; rural residential building ; threshold value of daily operation hours ; datacenter ; wave energy ; thermal comfort ; heat storage and release ; resampling ; risk aversion ; environment ; support vector machine ; internal coverings ; numerical models ; gradient descent ; renewable biomass energy ; demand response ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective.
    Keywords: subject-dependent emotion recognition ; subject-independent emotion recognition ; electrodermal activity (EDA) ; deep learning ; convolutional neural networks ; automatic facial emotion recognition ; intensity of emotion recognition ; behavioral biometrical systems ; machine learning ; artificial intelligence ; driving stress ; electrodermal activity ; road traffic ; road types ; Viola-Jones ; facial emotion recognition ; facial expression recognition ; facial detection ; facial landmarks ; infrared thermal imaging ; homography matrix ; socially assistive robot ; EEG ; arousal detection ; valence detection ; data transformation ; normalization ; mental stress detection ; electrocardiogram ; respiration ; in-ear EEG ; emotion classification ; emotion monitoring ; elderly caring ; outpatient caring ; stress detection ; deep neural network ; convolutional neural network ; wearable sensors ; psychophysiology ; sensor data analysis ; time series analysis ; signal analysis ; similarity measures ; correlation statistics ; quantitative analysis ; benchmarking ; boredom ; emotion ; GSR ; classification ; sensor ; face landmark detection ; fully convolutional DenseNets ; skip-connections ; dilated convolutions ; emotion recognition ; physiological sensing ; multimodal sensing ; flight simulation ; activity recognition ; physiological signals ; thoracic electrical bioimpedance ; smart band ; stress recognition ; physiological signal processing ; long short-term memory recurrent neural networks ; information fusion ; pain recognition ; long-term stress ; electroencephalography ; perceived stress scale ; expert evaluation ; affective corpus ; multimodal sensors ; overload ; underload ; interest ; frustration ; cognitive load ; stress research ; affective computing ; human-computer interaction ; deep convolutional neural network ; transfer learning ; auxiliary loss ; weighted loss ; class center ; stress sensing ; smart insoles ; smart shoes ; unobtrusive sensing ; stress ; center of pressure ; regression ; signal processing ; arousal ; aging adults ; musical genres ; emotion elicitation ; dataset ; emotion representation ; feature selection ; feature extraction ; computer science ; virtual reality ; head-mounted display ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The reprint focuses on the latest research in cybersecurity and data science. Digital transformation turns data into the new oil, so the increasing availability of big data, structured and unstructured datasets, raises new challenges in cybersecurity, efficient data processing and knowledge extraction. The field of cybersecurity and data science fuels the data-driven economy. Innovations in this field require strong foundations in mathematics, statistics, machine learning and information security. The unprecedented increase in the availability of data in many fields of science and technology (e.g., genomic data, data from industrial environments, network traffic, streaming media, sensory data of smart cities, and social network data) ask for new methods and solutions for data processing, information extraction and decision support. This stimulates the development of new methods of data analysis, including those adapted to the analysis of new data structures and the growing volume of data. The papers included in this reprint discuss various topics ranging from cyberattacks, steganography, anomaly detection, evaluation of the attacker skills, modelling of the threats, and wireless security evaluation, as well as artificial intelligence, machine learning, and deep learning. Given this diversity of topics the book represents a valuable reference for researchers in cybersecurity security and data science.
    Keywords: steganography ; network security ; steganography detection ; steganalysis ; machine learning ; big data ; IoT ; pattern mining ; wireless communications ; covert channel ; dirty constellation ; wireless postmodulation steganography ; phase drift ; drift correction modulation ; undetectability ; security ; quadrature amplitude modulation ; spam ; phishing ; classification ; augmented dataset ; multi-language emails ; cybersecurity ; data protection ; SoC ; threat agents ; motivation ; opportunity ; capability ; user profiling ; implicit ; modeling ; real-time user monitoring ; complexity threat agent ; threat assessment ; network traffic analysis ; convolutional neural networks ; network traffic images ; visualization of traffic ; classifiers ; e-mail ; ham ; data science ; datasets ; cyber threats modeling ; multi-agent systems ; cyber deception ; pseudorandom sequences generators ; prime numbers ; additive Fibonacci generator ; statistical characteristics ; android device ; BrainShield ; hybrid model ; malware detection ; Omnidroid ; image processing ; BOSS database ; ensemble classifier ; deep learning ; stegomalware ; traffic analysis ; network probe ; hash function ; SHA-3 ; FPGA ; cognitive security ; cyberattacks ; game software ; threat matrix computing ; evaluation function ; data modeling ; authentication ; bit template ; information-processing electronic device ; Poisson pulse sequences generators ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Unconventional reservoirs are usually complex and highly heterogeneous, such as shale, coal, and tight sandstone reservoirs. The strong physical and chemical interactions between fluids and pore surfaces lead to the inapplicability of conventional approaches for characterizing fluid flow in these low-porosity and ultralow-permeability reservoir systems. Therefore, new theories and techniques are urgently needed to characterize petrophysical properties, fluid transport, and their relationships at multiple scales for improving production efficiency from unconventional reservoirs. This book presents fundamental innovations gathered from 21 recent works on novel applications of new techniques and theories in unconventional reservoirs, covering the fields of petrophysical characterization, hydraulic fracturing, fluid transport physics, enhanced oil recovery, and geothermal energy. Clearly, the research covered in this book is helpful to understand and master the latest techniques and theories for unconventional reservoirs, which have important practical significance for the economic and effective development of unconventional oil and gas resources.
    Keywords: TA1-2040 ; T1-995 ; shale gas ; permeability ; prediction by NMR logs ; matrix–fracture interaction ; faults ; remaining oil distributions ; unconventional reservoirs ; coal deformation ; reservoir depletion ; carbonate reservoir ; nanopore ; fracturing fluid ; pseudo-potential model ; shale reservoirs ; matrix-fracture interactions ; multi-scale fracture ; succession pseudo-steady state (SPSS) method ; fluid transport physics ; integrated methods ; chelating agent ; dissolved gas ; non-equilibrium permeability ; effective stress ; fractal ; fracture network ; spontaneous imbibition ; tight oil ; porous media ; 0-1 programming ; the average flow velocity ; geothermal water ; micro-fracture ; pore types ; pore network model ; petrophysical characterization ; nitrogen adsorption ; analysis of influencing factors ; mudstone ; rheology ; velocity profile ; shale permeability ; flow resistance ; global effect ; tight sandstones ; fractal dimension ; contact angle ; temperature-resistance ; fractured well transient productivity ; reservoir classifications ; deep circulation groundwater ; viscosity ; NMR ; fractional diffusion ; lattice Boltzmann method ; multiporosity and multiscale ; fractal geometry ; imbibition front ; productivity contribution degree of multimedium ; wetting angle ; pH of formation water ; enhanced oil recovery ; isotopes ; tight sandstone ; fracture diversion ; shale ; SRV-fractured horizontal well ; low-salinity water flooding ; shale gas reservoir ; tight reservoirs ; fracture continuum method ; tight oil reservoir ; Lucaogou Formation ; hydraulic fracturing ; clean fracturing fluid ; recovery factor ; flow regimes ; local effect ; complex fracture network ; pore structure ; gas adsorption capacity ; polymer ; non-linear flow ; conformable derivative ; production simulation ; analytical model ; enhanced geothermal system ; multi-scale flow ; experimental evaluation ; extended finite element method ; fluid-solid interaction ; groundwater flow ; well-placement optimization ; thickener ; imbibition recovery ; equilibrium permeability ; slip length ; large density ratio ; clay mineral composition ; finite volume method ; volume fracturing ; influential factors ; sulfonate gemini surfactant ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Recently, new wide-band energy gap semiconductors can be grown by ALD, PLD, sputtering, or MOCVD. They have great potential for the fabrication and application to TFTs. Inorganic semiconductors have good stability against environmental degradation over their organic counterparts, whereas organic materials are usually flexible, transparent, and when solution-processed at low temperatures, are prone to degradation when exposed to heat, moisture, and oxygen. For this Special Issue, we invited researchers to submit papers discussing the development of new functional and smart materials, and inorganic as well as organic semiconductor materials, such as ZnO, InZnO, GaO, AlGaO, AnGaO, AlN/GaN, conducting polymers, molecular semiconductors, perovskite-based materials, carbon nanotubes, carbon nanotubes/polymer composites, and 2D materials (e.g., graphene, MoS2) and their potential applications in display drivers, radio frequency identification tags, e-paper, gas, chemical and biosensors, to name but a few.
    Keywords: TA1-2040 ; TK1-9971 ; T1-995 ; charge transport and injection mechanisms ; optical synaptic devices ; flat panel displays ; simulation ; persistent photoconductivity ; hydrogen ; interdigitated ; interface state trap density ; technology computer aided design (TCAD) ; oxygen defects ; Corbino ; transistor model evaluation ; metal-halide lamp ; InGaZnOx ; contact resistances ; chemical treatment ; colour difference ; organic transistor ; equivalent circuit ; channel-length dependence ; just noticeable difference ; oxide semiconductor ; OTFT ; chromaticity ; modeling contact effects ; oxygen deficiency ; dual-threshold inverter ; surface treated ; charge-carrier-mobility extraction ; optical detecting ; thin film transistor ; green ; photo-sensors ; modelling ; capacitor ; TFT-LCD ; organic thin-film transistor ; spectrum ; hydrogen effect ; organic film growth ; transparent conducting oxides ; quartz-halogen lamp ; optical ; blue LED ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 21
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.
    Keywords: pig weight ; body size ; estimation ; deep learning ; convolutional neural network ; pig identification ; mask scoring R-CNN ; soft-NMS ; group-housed pigs ; audio ; dairy cow ; mastication ; jaw movement ; forage management ; precision livestock management ; equine behavior ; wearable sensor ; intermodality interaction ; class-balanced focal loss ; absorbing Markov chain ; cow behavior analysis ; prediction of calving time ; cow identification ; EfficientDet ; YOLACT++ ; cascaded model ; instance segmentation ; generative adversarial network ; machine learning ; automated medical image processing ; deep neural network ; animal science ; CT scans ; computer vision ; cow ; extensive livestock ; sensorized wearable device ; monitoring ; parturition prediction ; radar sensors ; radar signal processing ; animal farming ; computational ethology ; signal classification ; wavelet analysis ; dairy welfare ; hierarchical clustering ; mutual information ; precision livestock farming ; time budgets ; unsupervised machine learning ; wearables design ; animal-centered design ; animal telemetry ; modularity ; smart collar ; design contributions ; additive manufacturing ; low-frequency tracking ; commercial aviary ; laying hens ; false registrations ; tree-based classifier ; animal behaviour ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue covers a wide range of areas—including building orientation, service life, use of photocatalytically active structures and PV facades, implications of transportation system, building types (i.e., high rise, multilevel, commercial, residential), life cycle assessment, and structural engineering—that need to be considered in the environmental impact assessment of buildings, and the chapters include case studies across the globe. Consideration of these strategies would help reduce energy and material consumption, environmental emissions, and waste generation associated with all phases of a building’s life cycle. Chapter 1 demonstrates that green star concrete exhibits the same structural properties as conventional concrete in Australia. Chapter 2 showed that the use of TiO2 as a photocatalyst on the surface of construction materials with a suitable stable binding agent, such as aggregates, would enable building walls to absorb NOx from air. This study found that TiO2 has the potential to reduce ambient concentrations of NOx from areas where this pollutant becomes concentrated under solar irradiation. Chapter 3 presents the life cycle assessment of architecturally integrated glass–glass photovoltaics in building facades to find the appropriate material composition for a multicolored PV façade offering improved environmental performance. Chapter 4 shows that urban office buildings lacking appropriate orientation experienced indoor overheating. Chapter 5 details four modeling approaches that were implemented to estimate buildings’ response towards load shedding. Chapter 6 covers the life cycle GHG emissions of high-rise residential housing block to discover opportunities for environmental improvement. Chapter 7 discusses an LCA framework that took into account variation in the service life of buildings associated with the use of different types of materials. Chapter 8 presents a useful data mining algorithm to conduct life cycle asset management in residential developments built on transport systems.
    Keywords: TA1-2040 ; T1-995 ; wash water ; greenhouse gases ; environmental life cycle assessment ; sustainable-development ; transit-policy ; public-engagement ; Multilevel buildings ; building integrated photovoltaic ; slag ; operational energy ; life-cycle social analysis ; building ; travel-satisfaction ; TEASER ; BIPV ; photocatalytic construction materials ; functionalized aggregate ; green star concrete ; work-commute ; shallow plan forms ; life cycle assessment ; recycled aggregate ; environmental remediation ; block of buildings ; rain cladding ; LCA ; sustainability ; peak shaving ; residential building ; indoor overheating ; LCI ; air pollution ; environmental performance ; service life ; nitric oxides ; thermal model ; coloured glass ; demand response ; modal-variability ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: Modern materials and structures are significantly different from conventional ones. Their sizes can be orders of magnitude smaller, and their compositions are so sophisticated that traditional characteristic methods are inapplicable. Non-conventional methods are essential to tackle these issues, which must often be approached in an interdisciplinary fashion. This Special Issue is a collection of articles that shed light on these problems.
    Keywords: analytical solution ; Fourier cosine series ; vibrations ; FGM rectangular plates ; Mindlin plate theory ; phased array transducer ; transducer optimization ; beam focusing ; pulse–echo mode ; harmonic generation ; stress-free boundary ; total correction ; acoustic emission ; electrical resistance ; damage monitoring ; criticality ; natural time analysis ; nonlinear parameter ; noncontact reception ; air-coupled receiver ; aluminum samples ; corrections ; field theory ; deformation and fracture ; 7075 aluminum alloy ; electronic speckle pattern interferometry ; concrete beam ; bending ; cementitious matrix ; FRCM ; analytical model ; numerical model ; linear low-density polyethylene ; digital image correlation ; optical non-destructive testing ; speckle ; fourier scaling theorem ; gaussian filtering ; optical methods ; AlSi10Mg ; SLM ; NDE ; deep learning ; CNN ; k-fold cross validation ; non-destructive testing ; optical interferometry ; residual stress ; thermal expansion ; elasticity ; high entropy alloys ; complex concentrated alloys ; refractory metal intermetallic composites ; high entropy phases ; complex concentrated phases ; Nb silicide-based alloys ; alloy design ; biomechanics ; Achilles tendon ; beam-to-beam contact ; arbitrary cross-section ; ANCF ; lithium-ion batteries ; redox-active organic anode ; organic anode materials ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: By the late 1940s, and since then, the continuous development of dislocation theories have provided the basis for correlating the macroscopic time-dependent deformation of metals and alloys—known as creep—to the time-dependent processes taking place within the metals and alloys. High-temperature deformation and stress relaxation effects have also been explained and modeled on similar bases. The knowledge of high-temperature deformation as well as its modeling in conventional or unconventional situations is becoming clearer year by year, with new contemporary and better performing high-temperature materials being constantly produced and investigated.This book includes recent contributions covering relevant topics and materials in the field in an innovative way. In the first section, contributions are related to the general description of creep deformation, damage, and ductility, while in the second section, innovative testing techniques of creep deformation are presented. The third section deals with creep in the presence of complex loading/temperature changes and environmental effects, while the last section focuses on material microstructure–creep correlations for specific material classes. The quality and potential of specific materials and microstructures, testing conditions, and modeling as addressed by specific contributions will surely inspire scientists and technicians in their own innovative approaches and studies on creep and high-temperature deformation.
    Keywords: TA1-2040 ; T1-995 ; TN1-997 ; Larson–Miller parameter ; n/a ; visualization ; bond coat ; hydrogen ; poly-crystal ; Gibbs free energy principle ; constitutive equations ; creep damage ; DFT ; finite element method ; austenitic stainless steel ; strain rate sensitivity ; MCrAlY ; excess volume ; superalloy ; scanning electron microscopy ; creep buckling ; dislocation dynamics ; creep ; elevated temperature ; modelling ; size effect ; residual stress ; superalloy VAT 32 ; water vapor ; activation energy ; small angle neutron scattering ; superalloy VAT 36 ; metallic glass ; iron aluminides ; Gr.91 ; internal stress ; relaxation fatigue ; multiaxiality ; creep grain boundary ; grain boundary cavitation ; cavitation ; solute atom ; stress exponent ; external pressure ; P92 ; TMA ; low cycle fatigue ; nanoindentation ; high temperature ; FEM ; intrinsic ductility ; normalizing ; creep ductility ; creep rupture mechanism ; microstructural features ; simulate HAZ ; P92 steel ; glide ; ferritic–martensitic steel ; creep rupture ; cyclic softening ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 25
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: With increasing power levels and power densities in electronics systems, thermal issues are becoming more and more critical. The elevated temperatures result in changing electrical system parameters, changing the operation of devices, and sometimes even the destruction of devices. To prevent this, the thermal behavior has to be considered in the design phase. This can be done with thermal end electro-thermal design and simulation tools. This Special Issue of Energies, edited by two well-known experts of the field, Prof. Marta Rencz, Budapest University of Technology and Economics, and by Prof. Lorenzo Codecasa, Politecnico di Milano, collects twelve papers carefully selected for the representation of the latest results in thermal and electro-thermal system simulation. These contributions present a good survey of the latest results in one of the most topical areas in the field of electronics: The thermal and electro-thermal simulation of electronic components and systems. Several papers of this issue are extended versions of papers presented at the THERMINIC 2018 Workshop, held in Stockholm in the fall of 2018. The papers presented here deal with modeling and simulation of state-of-the-art applications that are highly critical from the thermal point of view, and around which there is great research activity in both industry and academia. Contributions covered the thermal simulation of electronic packages, electro-thermal advanced modeling in power electronics, multi-physics modeling and simulation of LEDs, and the characterization of interface materials, among other subjects.
    Keywords: TA1-2040 ; T1-995 ; thermal interface material ; thermal aging ; modeling ; LED compact thermal models ; niobium pentoxide ; model-order reduction ; ferromagnetic cores ; LED digital twin ; Cauer RC ladder ; in-situ characterization ; electronic packages ; time domain thermoreflectance ; multi-domain compact model ; power LEDs ; DC–DC converters ; structure function ; boundary condition independent ; electric aircraft ; multi-LED ; modelling ; light emitting diodes ; thin film ; JEDEC metrics ; tool agnostic ; power losses ; switching ; dynamic thermal compact model ; thermal transient testing ; reliability ; thermal transient analysis ; thermal simulation ; non-destructive testing ; IGBT ; carbon nanotubes ; compact thermal model ; power semiconductor devices ; SPICE ; phosphor light conversion ; thermal management ; LED luminaire design ; design flow ; thermal characterization ; motor cooling ; thermal phenomena ; silicone dome ; LED ; secondary heat path ; multi-domain modelling ; heating and optical power ; transient analysis ; thermal testability ; thermal conductivity ; multiple heat source ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.
    Keywords: TA1-2040 ; T1-995 ; n/a ; Stackelberg game ; MILP ; optimal congestion threshold ; magnetic field mitigation ; simulation ; multi-objective particle swarm optimization ; virtual power plant ; internal defect ; day-ahead load forecasting ; neural network ; modular predictor ; multi-objective particle swarm optimization algorithm ; stochastic optimization ; dragonfly algorithm ; unit commitment ; metaheuristic ; multi-population method (MP) ; optimization ; tabu search ; considerable decomposition ; loss minimization ; active distribution system ; islanded microgrid ; dynamic solving framework ; feature selection ; electric energy costs ; power factor compensation ; dependability ; interactive load ; overhead ; energy internet ; evolutionary computation ; wind power ; developed grew wolf optimizer ; underground ; ETAP ; fuzzy algorithm ; electric vehicles ; Schwarz’s equation ; evolutionary algorithms ; electric power contracts ; congestion management ; optimizing-scenarios method ; building energy management system ; particle encoding method ; ringdown detection ; HOMER software ; DC optimal power flow ; prosumer ; constrained parameter estimation ; distributed generations (DGs) ; strong track filter (STF) ; transient stability ; calibration ; cost minimization ; radiance ; decentralized and collaborative optimization ; hybrid renewable energy system ; renewable energy sources ; rural electrification ; distribution network reconfiguration ; interval variables ; optimization methods ; particle swarm optimization ; hierarchical scheduling ; micro grid ; AC/DC hybrid active distribution ; consensus ; artificial bee colony ; CCHP system ; data center ; support vector machine ; affinity propagation clustering ; extended Kalman filter ; affine arithmetic ; linear discriminant analysis (LDA) ; current margins ; heterogeneous networks ; Cameroon ; hybrid method ; distributed heat-electricity energy management ; discrete wind driven optimization ; fitness function ; cross-entropy ; GenOpt ; wind energy ; demand uncertainty ; UC ; off-design performance ; genetic algorithm ; energy storage ; the biomimetic membrane computing ; power system optimization ; electric vehicle ; power architectures ; economic load dispatch problem (ELD) ; runner-root algorithm (RRA) ; Cable joint ; battery energy storage system ; load curtailment ; integration assessment ; power system unit commitment ; artificial lighting ; power flow ; hybrid membrane computing ; two-point estimation method ; low-voltage networks ; demand bidding ; non-sinusoidal circuits ; energy flow model ; power transfer distribution factors ; sustainability ; HVAC system ; voltage deviation ; street light points ; radial basis function ; energy storage system ; charging/discharging ; power systems ; intelligent scatter search ; MV/LV substation ; optimal power flow ; stochastic state estimation ; eight searching sub-regions ; chaos optimization algorithm (COA) ; mutual information theory ; inter-turn shorted-circuit fault (ISCF) ; C&I particle swarm optimization ; multiobjective optimization ; passive shielding ; sub-Saharan Africa ; micro-phasor measurement unit ; geometric algebra ; bio-inspired algorithms ; adaptive consensus algorithm ; energy management ; PCS efficiency ; multi-stakeholders ; generalized generation distribution factors ; the genetic algorithm based P system ; JAYA algorithm ; thermal probability density ; power optimization ; pumped-hydro energy storage ; smart grid ; two-stage feature selection ; piecewise linear techniques ; photovoltaic ; SOCP relaxations ; switched reluctance machine (SRM) ; optimal reactive power dispatch ; optimal operation ; controllable response ; off-grid ; active shielding ; transformer-fault diagnosis ; IEEE Std. 80-2000 ; principal component analysis ; demand response ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: This Urological Cancer 2020 collection contains a set of multidisciplinary contributions to the extraordinary heterogeneity of tumor mechanisms, diagnostic approaches, and therapies of the renal, urinary tract, and prostate cancers, with the intention of offering to interested readers a representative snapshot of the status of urological research.
    Keywords: renal cell carcinoma ; iron ; macrophages ; chelation therapy ; urothelial carcinoma ; transcriptome ; microtubule ; MAP1B ; prognosis ; KLF5 ; androgen receptor ; cell proliferation ; tumorigenesis ; prostate cancer ; precision medicine ; whole genome sequencing ; optical mapping ; therapy ; prostate carcinoma ; prostate mpMRI ; machine learning ; artificial intelligence ; deep learning ; neural network ; angiogenesis ; angiogenic growth factors ; antiangiogenic therapy ; renal tumors ; prevention ; α1-adrenoceptor antagonists ; anoikis ; vascularity ; research model ; oncogenes ; tumor suppressor genes ; MR-guided ; radiotherapy ; MRgRT ; stereotactic ablative radiotherapy ; stereotactic ablative radiation therapy (SABR) ; renal cell cancer ; RCC ; online adaptive ; [68Ga]Ga-PSMA PET/CT ; dual-time point imaging ; delayed imaging ; biphasic imaging ; lesion positivity rate ; CXCL9 ; PD1 ; PD-L1 ; stage T1 NMIBC ; prostatic neoplasms/mortality ; prostatic neoplasms/epidemiology ; SEER Program ; bladder cancer ; transurethral resection ; en-bloc resection ; CPT1A ; fatty acids ; serine ; androgen response ; ROS ; oxidative stress ; DONSON ; Downstream Neighbor of SON ; biomarker ; metastatic spread ; diagnosis ; differential diagnosis ; histopathology ; immunohistochemistry ; stroma signature ; patient-derived xenografts ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-01-31
    Description: Structural mechanics is an important field of engineering. The main goal of structural mechanics is to ensure that structures are safe and durable so that catastrophic situations can be prevented, which can otherwise cause loss of life, environmental pollution and financial losses. Depending on the uses of the structure and the conditions that the structure is subjected to, special treatment may be required for the analysis. Specifically, marine structures are subjected to harsh environmental conditions due to the marine environment, which can cause several different damage mechanisms including fatigue and corrosion. This book on “Marine structures” considers a wide range of areas related to marine structures and provides a compilation of numerical and experimental studies related to “Marine structures” research.
    Keywords: TC1501-1800 ; TA1-2040 ; T1-995 ; shock loads ; n/a ; jacket structures ; protective device ; tripod support structures ; soil-pile-structure interaction ; acoustic metamaterials ; semi-active ; jacket platform ; solitons ; waves ; biofouling ; seawater piping systems ; motion response ; earthquake ; low-frequency sound ; failure mechanism ; free-surface flow ; depressed bottom ; performance prediction ; acoustic band gap ; marine growth ; uncoupled analysis ; towing resistance ; viscous fluid flow ; ice-induced vibration ; superelement ; anti-collision assessment ; peridynamics ; steel ; integrated numerical model ; fairlead position ; reliability ; cross-flow ; coupled analysis ; morphology evolution ; composites ; tuned mass damper ; towing method ; wave loading ; vortex-induced vibration ; coastal protection structures ; structural control ; vortical flow ; critical mass ratio ; flexible pipe ; stochastic modeling ; offshore wind turbine ; hydrodynamics ; high pressure ; offshore integrated meteorological mast (OIMM) ; ice-resistant cone ; sediment transport ; offshore wind ; thermomechanical ; corrosion detection
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Description: Rapid developments have taken place over the recent years in the interventional cardiac electrophysiology. New methods and tools in the diagnosis and treatment of cardiac arrhythmia have emerged. There are many questions which still present a challenge, such as the ablation of refractory ventricular tachycardia, how to improve the long-term success rate of persistent atrial fibrillation, the long-term effectiveness and safety of His–Purkinje conduction system pacing. Accordingly, we dedicate this Special Issue Current Updates on Interventional Cardiac Electrophysiology to gathering the most recent progress in this field. Its aim is to present an overview of the current knowledge, latest evidence, and unresolved issues in this field. More specifically, the topics of interest include but are not limited to: atrial fibrillation; cryoablation; radiofrequency ablation; cardiac resynchronization therapy; His–Purkinje conduction system pacing; stereotactic radiotherapy for refractory ventricular tachycardia; pulsed electric field ablation; leadless pacemakers; and implantable cardioverter-defibrillators.
    Keywords: atrial fibrillation ; catheter ablation ; left atrial appendage occlusion ; stereotactic body radiotherapy ; refractory ventricular tachycardia ; treatment ; ablation ; elderly patients ; younger patients ; outcomes ; deep learning ; convolution neural network ; paroxysmal supraventricular tachycardia ; electrocardiography ; detection ; syncope ; vasovagal syncope ; ganglionated plexus ; high-frequency stimulation ; atrial fibrillation (AF) ; vein of Marshall (VOM) ; ethanol infusion ; coronary sinus (CS) ; coronary sinus ostium (CSo) ; cardiac implantable electronic device infection ; pocket infection ; antimicrobial therapy ; risk factors ; preventive strategies ; ventricular arrhythmias ; electrocardiogram ; algorithm ; left ventricular outflow tract ; COVID-19 pandemic ; interventional therapy ; percutaneous left atrial appendage occlusion ; pharmacotherapy ; amiodarone ; arrhythmogenic right ventricular cardiomyopathy ; abnormal electrograms ; ventricular tachycardia ; iatrogenic atrial septal defect ; intracardiac echocardiography ; left atrial appendage closure ; right-to-left shunt ; vein of Marshall ; collateral circulation ; slow injection ; paroxysmal atrial fibrillation ; high-power ; short-duration ; radiofrequency ablation ; ablation index ; pulmonary vein reconnection ; non-pulmonary vein triggers ; peri-device leak ; cardiac computed tomography angiography ; leadless single-chamber pacemaker ; complication ; atrioventricular synchrony ; leadless dual-chamber pacemaker ; strategy selection ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBG Medical equipment & techniques
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue on Antimicrobial Resistance in Environmental Waters features 11 articles on the monitoring and surveillance of antimicrobial resistance (AMR) in natural aquatic systems (i.e., reservoirs, rivers), and effluent discharge from water treatment plants to assess the effectiveness of AMR removal and resulting loads in treated waters. Some of the key elements of AMR studies presented in this Special Issue highlight the underlying drivers of AMR contamination in the environment and the evaluation of the hazard imposed on aquatic organisms in receiving environments through ecological risk assessments. As described in this Issue, screening antimicrobial peptide (AMP) libraries for biofilm disruption and antimicrobial candidates are promising avenues for the development of new treatment options to eradicate resistance.
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; risk assessment ; reuse water ; Acinetobacter junii ; Escherichia coli ; co-occurrence pattern ; EPS ; wastewater treatment plant ; UV-disinfection ; biofilm ; estuary reservoir ; Environmental Waters ; antibiotic resistance genes ; antimicrobial peptide (AMP) ; wastewater ; tertiary media filtration ; Psl ; antibiotic-resistant strains ; drinking water treatment plants ; water ; sediment ; surface water ; gastrointestinal infections ; Acinetobacter baumannii ; metal resistance genes ; metagenomics ; water reuse ; bacterial community ; antibiotics ; ERIC-PCR ; river-reservoir system ; the Yellow River ; ecological risk assessment ; aquatic environment ; wastewater treatment ; sand settling reservoirs ; antibiotic resistance gene ; environmental ecology ; antibiotic resistance ; ESBL ; water treatment plants ; Pseudomonas aeruginosa ; chlorination ; irrigation water ; exopolysaccharide ; fecal indicator bacteria ; Antimicrobial Resistance ; persistence ; Qingcaosha reservoir ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: According to the National Research Council, the use of embedded systems throughout society could well overtake previous milestones in the information revolution. Mechatronics is the synergistic combination of electronic, mechanical engineering, controls, software and systems engineering in the design of processes and products. Mechatronic systems put “intelligence” into physical systems. Embedded sensors/actuators/processors are integral parts of mechatronic systems. The implementation of mechatronic systems is consistently on the rise. However, manufacturers are working hard to reduce the implementation cost of these systems while trying avoid compromising product quality. One way of addressing these conflicting objectives is through new automatic control methods, virtual sensing/estimation, and new innovative hardware topologies.
    Keywords: independent-wheel drive ; steering assistance ; nonlinear system ; active disturbance rejection control ; smooth road feeling ; city bus transport ; electric vehicles ; electrification ; software tool ; planning ; control ; charging management ; simulation ; analysis ; energy management ; hybrid electric vehicle ; powertrain electrification ; equivalent consumption minimization ; supercharging ; hardware-in-the-loop experiments ; driving force distribution ; decentralized traction system ; 4WD electric vehicle ; energy efficiency ; traction control ; efficiency optimization ; air mobility ; fuel cell hybrid aircraft ; stochastic optimal control ; drift counteraction optimal control ; normal force estimation ; unbiased minimum variance estimation ; controller output observer ; youla parameterization ; adaptive cruise control ; automated driving ; energy-saving ; fuel-saving ; optimal control ; passenger comfort ; new energy vehicles ; speed prediction ; macroscopic traffic model ; traffic big-data ; deep learning ; vehicle lateral dynamic and control ; unresolved issues ; application of speed prediction ; electric vehicle ; hybrid vehicle ; lithium ion ; ultracapacitor ; battery aging ; EHB ; EMB ; EWB ; system modeling ; bond graph ; optimization ; control design ; Youla parameterization ; robust control ; nonlinear optimization ; brake-by-wire ; actuator ; electro-mechanical brake ; electronic wedge brake ; electro-hydraulic brake ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.
    Keywords: TA1-2040 ; T1-995 ; n/a ; sport games ; compensatory eating ; breath test ; exercise-induced anorexia ; Fitbit ; nutrition education ; senescence ; body weight ; sport nutrition ; fitness ; long-term follow-up ; self-efficacy ; protein ; food consumption ; cytokines ; physical exercise ; cardiometabolic health ; mediation analyses ; obesity ; food choice ; telomere length ; sporting events ; carbohydrates ; free radicals ; marathon ; adolescents ; movement skills ; naturally enriched 13C-milk proteins ; behavioral intervention ; acute exercise ; skeletal muscle damage ; Protein ; TERRA ; nutrition ; telemonitoring ; Latino ; adolescent ; macronutrients ; metabolism ; mechanisms of impact ; anabolic competence ; endurance exercise ; food healthiness ; exercise ; health promotion ; behavioral economics ; immunity ; stunting ; lifestyle intervention ; running ; telomerase ; dietary intake ; inflammation ; vegetarian ; recreational athlete ; physical performance ; out-of-home eating ; diet ; overweight ; dietary restriction ; soccer ; dual burden of malnutrition ; protein shake ; childhood memories ; chronic diseases ; music events ; oxidation ; added sugar ; lifestyle change ; vegan ; nudges ; food ; physical activity ; half-marathon ; health conscious ; free or reduced lunch ; low-income ; diet quality ; National School Lunch Program ; older adults ; aging ; sport spectators ; chronic low-grade systemic inflammation ; sport ; food intake ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: This Special Issue of Entropy, titled “Recent Advances in Single-Particle Tracking: Experiment and Analysis”, contains a collection of 13 papers concerning different aspects of single-particle tracking, a popular experimental technique that has deeply penetrated molecular biology and statistical and chemical physics. Presenting original research, yet written in an accessible style, this collection will be useful for both newcomers to the field and more experienced researchers looking for some reference. Several papers are written by authorities in the field, and the topics cover aspects of experimental setups, analytical methods of tracking data analysis, a machine learning approach to data and, finally, some more general issues related to diffusion.
    Keywords: diauxic growth ; replicator equation ; mesoscopic model ; integro-differential equations ; anomalous diffusion ; statistical analysis ; single-particle tracking ; trajectory classification ; fractional Brownian motion ; estimation ; autocovariance function ; neural network ; Monte Carlo simulations ; multifractional Brownian motion ; power of the statistical test ; machine learning classification ; feature engineering ; confinement ; information theory ; Brownian particle ; stochastic thermodynamics ; CTRW ; diffusing-diffusivity ; occupation time statistics ; wound healing dynamics ; single pseudo-particle tracking ; phase contrast image segmentation ; 3D single-particle tracking ; Fisher information ; non-uniform illumination ; SPT ; deep learning ; residual neural networks ; random walk ; heterogeneous ; endosomes ; single particle trajectory ; stochastic processes ; trapping ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PH Physics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This reprint focusses on Smartness, a multidisciplinary topic, which is examined from four perspectives: Sensors, IoT, and Data Generation; Data and Information Processing; Actuation; and Digital Systems and Infrastructure. We see smartness in the way sensing is embedded in a system, the way data and information are processed, how a system interacts internally and with its environment, and whether a system is ubiquitous or limited by space (cloud-based or edge-enabled). This reprint contains a total of 14 chapters, which are grouped according to their areas of application: mobility and transportation, healthcare, industrial environments, and other urban infrastructures. This book covers a range of topics, including mobility; healthcare; image analysis; permeable pavements; solid-waste management; sensor node and gateway architectures; cloud, fog, and edge computing; air-quality monitoring; thermal anomalies and smart helmets in industrial environments; smart airports; smart districts; smart travel choices; sensor cities; artificially intelligent cities; platform urbanism; and more.
    Keywords: artificial intelligence (AI) ; artificially intelligent city ; artificially intelligence commons ; smart city ; smart urban technology ; urban informatics ; sustainable urban development ; climate change ; pandemics ; natural disasters ; sensor city ; City 4.0 ; smart urbanism ; smart governance ; disruptive urban transition ; Internet-of-Things (IoT) ; technology giants ; sensors ; transit ; bus ; transfer ; smart card ; spatial analysis ; mode choice ; internet of everything (IoE) ; 6th generation (6G) networks ; artificial intelligence ; Distributed AI as a Service (DAIaaS) ; fog computing ; edge computing ; cloud computing ; smart airport ; smart districts ; PPE ; OHS ; risk detection ; naive Bayes ; support vector machine ; convolutional neural network ; deep learning ; microcontroller ; edge-fog-cloud computing ; Internet of Things ; robotics ; autonomous driving ; image registration ; smart sensor ; real time big data ; land-use ; air quality ; particulate matter (PM10 PM2.5) ; Intelligent Transportation Systems ; functional requirements ; machine learning ; model actionability ; model evaluation ; cloud server ; customized sensor node ; customized gateway ; FLoRa simulation ; LoRa range radio ; solid waste management ; smart cities ; big data ; event detection ; road traffic ; distributed machine learning ; automatic labeling ; social media ; data analytics ; social media analytics ; Arabic tweets ; 3D microstructure reconstruction ; permeable pavement ; generative adversarial networks ; tiny AI ; tiny ML ; distributed AI as a service (DAIaaS) ; skin disease diagnosis ; healthcare ; smart societies ; smart healthcare ; reference architecture ; TensorFlow ; visually impaired ; smart mobility ; LiDAR ; ultrasonic ; obstacle detection ; obstacle recognition ; assistive tools ; green computing ; sustainability ; Arduino Uno ; smart app ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Coastal regions are susceptible to rapid changes, as they constitute the boundary between the land and the sea. The resilience of a particular segment of coast depends on many factors, including climate change, sea-level changes, natural and technological hazards, extraction of natural resources, population growth, and tourism. Recent research highlights the strong capabilities for remote sensing applications to monitor, inventory, and analyze the coastal environment. This book contains 12 high-quality and innovative scientific papers that explore, evaluate, and implement the use of remote sensing sensors within both natural and built coastal environments.
    Keywords: big data applications ; data processing ; data visualization ; neural networks ; reduction ; coastal waters ; urban expansion ; remote sensing and GIS ; expansion types and rates ; major explanatory factors ; Miami metropolitan area ; cliff coastlines ; cliff retreat ; time-series analysis ; airborne laser scanner ; warm upwelling ; sea surface temperature ; numerical modelling ; winter ; southern Baltic Sea ; beach monitoring ; mobile terrestrial LiDAR ; intensity calibration ; beach surface moisture ; Baltic coast ; Poland ; CORINE Land Cover ; land cover flow ; urbanisation ; afforestation ; deforestation ; spatial analysis ; SDGs ; coastal habitats ; ecosystem monitoring ; land cover mapping ; random forest algorithm ; Sentinel-2 ; modified soil-adjusted vegetation index 2–MSAVI2 ; normalized difference water index 2–NDWI2 ; brightness index 2–BI2 ; oil spill ; remote sensing ; review ; machine learning ; deep learning ; trajectory modeling ; vulnerability assessment ; coastal geomorphology ; shoreline change ; coastal process ; monitoring ; geomatic techniques ; Po River Delta ; archival multi-temporal data ; coastline changes ; emerged/submerged surfaces ; land subsidence ; relative sea level rise 2100 ; land cover ; dune coast ; air photograph ; South Baltic Sea ; coastal monitoring ; estuaries ; IoT ; lidar ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-01-08
    Description: Agricultural production management is facing a new era of intelligence and automation. With developments in sensor technologies, the temporal, spectral, and spatial resolution from ground/air/space platforms have been notably improved. Optical sensors play an essential role in agriculture production management. Specifically, monitoring plant health, growth conditions, and insect infestation has traditionally involved extensive fieldwork. We believe that sensors, artificial intelligence, and machine learning are not simply scientific experiments but opportunities to make our agricultural production management more efficient and cost-effective, further contributing to the healthy development of natural–human systems. This reprint compiles the latest research on optical sensors and machine learning in agricultural monitoring, including related topics: Machine learning approaches for crop health, growth, and yield monitoring; Combined multisource/multi-sensor data to improve the crop parameters mapping; Crop-related growth models, artificial intelligence models, algorithms, and precision management; Farmland environmental monitoring and management; Ground, air, and space platforms application in precision agriculture; Development and application of field robotics; High-throughput field information survey; Phenological monitoring.
    Keywords: soil moisture content ; spectral processing technology ; hyperspectral ; principal component analysis ; feature parameters extraction ; yield estimation ; rice ; unmanned aerial vehicle (UAV) ; tasseled cap transformation ; precision agriculture ; weed identification ; YOLOv4-Tiny ; attention mechanism ; multiscale detection ; angle normalization ; vegetation canopy reflectance ; geostationary satellite ; path length correction ; Minnaert model ; GOCI ; winter wheat ; LSTM ; LAI ; deep learning ; land use ; land cover ; classification ; random forest ; Sentinel data ; SRTM ; feature selection ; accuracy ; validation ; unmanned aerial vehicle ; soybean ; convolutional neural network ; multispectral imagery ; fusarium head blight ; texture indices ; machine learning ; cropland ; multi-seasonal ; fractal feature ; feature extraction ; accuracy evaluation ; black soil ; UAV ; chlorophyll ; fractional vegetation cover ; maturity monitoring ; anomaly detection ; smart agriculture ; detection of apple leaf diseases ; YOLOv5 ; transformer ; CBAM ; crop type classification ; multi-temporal ; remote sensing ; dairy cows ; body condition score ; 3D TOF sensor ; non-contact evaluation ; recognize area of interest ; sugarcane clones ; canopy cover ; light interception ; biomass ; cane yield ; peanut southern blight ; reflection spectrum ; spectral index ; continuous wavelet transform ; VGNet ; corn diseases ; leaf detection ; lightweight ; transfer learning ; agriculture ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Liquid Crystal on Silicon (LCoS) has become one of the most widespread technologies for spatial light modulation in optics and photonics applications. These reflective microdisplays are composed of a high-performance silicon complementary metal oxide semiconductor (CMOS) backplane, which controls the light-modulating properties of the liquid crystal layer. State-of-the-art LCoS microdisplays may exhibit a very small pixel pitch (below 4 ?m), a very large number of pixels (resolutions larger than 4K), and high fill factors (larger than 90%). They modulate illumination sources covering the UV, visible, and far IR. LCoS are used not only as displays but also as polarization, amplitude, and phase-only spatial light modulators, where they achieve full phase modulation. Due to their excellent modulating properties and high degree of flexibility, they are found in all sorts of spatial light modulation applications, such as in LCOS-based display systems for augmented and virtual reality, true holographic displays, digital holography, diffractive optical elements, superresolution optical systems, beam-steering devices, holographic optical traps, and quantum optical computing. In order to fulfil the requirements in this extensive range of applications, specific models and characterization techniques are proposed. These devices may exhibit a number of degradation effects such as interpixel cross-talk and fringing field, and time flicker, which may also depend on the analog or digital backplane of the corresponding LCoS device. The use of appropriate characterization and compensation techniques is then necessary.
    Keywords: TA1-2040 ; T1-995 ; n/a ; aberration compensation ; holographic and volume memories ; achromatic lens ; head-up displays ; phase characterization ; holographic display ; spatial resolution ; spatial light modulator ; zoom lens ; soliton ; transmission matrix ; head-mounted displays ; diffraction ; parallel-aligned ; liquid-crystal on silicon ; phase measurement ; multimode fiber ; digital holography ; chromatic aberration ; multiorder diffractive lens ; holography ; phase accuracy ; interference ; computer generated hologram ; optical manipulation ; speckle suppression ; phase modulation ; transparent mode ; light scattering ; ferroelectric ; phase change ; liquid-crystal-on-silicon ; imaging systems ; Liquid Crystal on Silicon display ; diffractive optical element ; liquid crystals ; spatially anamorphic phenomenon ; calibration ; head-up display ; helix-free ; phase precision and stability ; kinoform ; spatial light modulators ; photopolymer ; diffractive optics ; mode division multiplexing ; liquid crystal on silicon device ; augmented reality displays ; holographic data storage ; liquid crystal spatial light modulator ; harmonic lens ; fringing field effect ; liquid crystal ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 40
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint contains several articles where the molecular mechanisms and structural changes in target proteins on interaction with various viruses and bacteria were studied. In addition, drug-protein interactions, drug–drug interaction mechanisms, anti-Glycating, antioxidant, binding affinity, network pharmacology-driven investigations, and targeted anticancer treatments were also investigated.
    Keywords: RSV ; ectodomain G protein ; heparan sulfate ; protein–ligand interaction ; fluorescence quenching ; molecular docking ; molecular dynamic simulation ; quercetin ; CCL4 ; neurotoxicity ; VirtualToxLab ; oxidative stress markers ; Huperzine A ; molecular dynamics simulation ; fluorescence spectroscopy ; human serum albumin ; neurodegenerative disorders ; drug–protein interactions ; erlotinib ; bovine serum albumin ; binding interaction ; competition ; hepatitis E virus ; methyltransferase ; protein stability ; enzyme assay ; garlic ; antioxidant ; anti-glycation ; glycation ; AGEs ; HSA ; quetiapine ; hydrophobic interaction ; thermodynamic parameters ; seproxetine ; antidepressant ; charge transfer ; π-acceptors ; DFT ; haloperidol ; antipsychotics ; keratoconus ; MMP-2 ; MMP-9 ; molecular dynamics ; MM-GBSA calculations ; pharmacophore mapping ; α-amylase ; advanced glycation end-products ; caffeic acid ; coumaric acid ; coronary artery disease ; phytotherapy ; network pharmacology ; angiogenesis ; zebrafish ; dynamics molecular docking ; NEK7 ; virtual screening ; DFTs ; deep learning ; drug design ; drug repurposing ; structural-based ; cancer ; A. aspera ; β-amyrin ; C. gigantea ; C. procera ; GC-MS ; Minimum inhibitory concentration (MIC) ; Molecular docking ; MD simulations ; Tuberculosis (TB) ; n/a ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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  • 41
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: This reprint includes impactful chapters related to document-image related visual sensing, which do present and comprehensively discuss selected scientific concepts, frameworks, architectures and ideas on sensing technologies and machine-learning techniques. Indeed, document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts. This reprint emerging from the Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques” can be viewed as a result of the crucial need for document management systems. Such technologies are being applied in various fields or different domains and parts of the world to address relevant challenges that could not be addressed without the advances made in these technologies. The reprint includes impactful chapters that present scientific concepts, frameworks, architectures and innovative ideas on sensing technologies and machine-learning techniques to overcome a series of key challenges related to document imaging/scanning, text detection, text recognition, and documents clustering.
    Keywords: feature learning ; incomplete multimedia data ; fuzzy c-means ; variational autoencoder ; multispectral imaging ; document scanning ; portable sensor ; depth image filtering ; point clouds filtering ; Kinect v2 ; depth resolution ; close range ; hand pose ; image binarization ; optical character recognition ; document images ; local thresholding ; image pre-processing ; natural images ; scene text recognition ; visual sensor ; text position correction ; encoder-decoder network ; chart recognition ; deep learning ; visualization ; classification ; detection ; perspective correction ; house architecture type classification ; house type classification ; convolutional neural networks ; document classification ; feature selection ; data augmentation ; imbalanced dataset ; scene text detection ; multiple scales ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science
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  • 42
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The extraction of apatite minerals is becoming more and more crucial with the depletion of high-grade ores. At the same time, many streams of waste are continuously being produced by the phosphate industry, including calcareous and siliceous waste rocks, clayey sludge and phosphogypsum. These waste products are produced in huge volumes reaching a ratio of between 5 to 10 tons of waste per each ton of concentrated phosphate. The management of these waste products is becoming a real issue in terms of growing public awareness and environmental and financial aspects. In addition, phosphate ores are known to contain other critical raw materials (CRM) such as rare earth elements and uranium. The recovery of these vital elements from phosphate waste may help to develop the needs of the green energy of the future and contribute to the achievement of the sustainable development goals. In this Special Issue, insights related to the following aspects were studied: phosphate extraction and beneficiation, novel phosphate ores, the fine characterization of phosphate ores and waste, phosphoric acid production, critical raw material (CRM) recovery from phosphate ores and waste, reprocessing of phosphate wastes and finally the valorization and reuse of phosphate waste and phosphogypsum.
    Keywords: TA1-2040 ; T1-995 ; TN1-997 ; n/a ; valorization ; ceramic membrane ; general industrial solid waste ; cemented paste backfill ; cemented phosphogypsum backfill ; unconfined compressive strength ; mineralogy ; froth flotation ; silicate-carbonate gangue ; geochemical characteristic ; activity concentration ; building materials ; valuable elements ; upgrading ; radiological influence ; durability ; phosphogypsum ; phosphate ore processing ; low-grade phosphate ; industrial waste ; phosphogypsum (PG) ; filtration ; civil engineering ; comprehensive utilization ; phosphorite ; flotation ; REE recovery ; phosphate mine waste rocks ; Gafsa-Metlaoui Basin ; acid extraction ; rare earth elements ; drying-wetting cycles ; column flotation ; slimes ; collector ; phosphate mine tailings ; apatite ; purification ; REE-bearing phases ; weathered ore ; water washing ; depressant ; environment behavior ; experimental design ; interfering ions ; technological mineralogy ; red mud ; rare earth elements (REEs) ; waste management ; phosphate ore ; waste recycle ; natural radioactivity ; natural aggregates ; phosphate ; beneficiation ; beneficiation tailings ; road techniques wet process ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 43
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars). This Special Issue explores empirical studies of emotional mechanisms, qualitative and quantitative measurements of emotion, the recognition of emotional contexts, and the application of emotion. We introduce fourteen papers, ranging from lab-based studies aimed at understanding emotional mechanisms to applying emotion recognition in the real world (e.g., in driving, games, education, and virtual avatars).
    Keywords: speech emotion recognition ; domain adaptation ; SER generalization ; Korean Emotional Speech Database ; ensemble model ; multi-path ; group-loss ; BLSTM network ; facial micromovement ; emotion recognition ; emotion authenticity ; HRV parameter ; game addiction ; League of Legends ; stress response ; sensitivity ; specificity ; logistic regression ; facial action unit ; facial aging ; facial expression ; posed emotion ; virtual avatar ; virtual human ; virtual character ; embodied conversational agent ; social interaction ; empathy ; CNN ; cognitive workload ; functional connectivity analysis ; LSTM ; mental workload ; mutual information ; phase locking value ; phase transfer entropy ; deep learning ; facial expression recognition (FER) ; 3D convolutional neural network (3D CNN) ; multirate signal processing ; minimum overlapped frame structure ; self-attention ; multi-depth network ; video content empathy ; micro-movement synchronization ; non-contact empathy measurement ; empathic advertisement ; multimodal affective computing ; catecholamines ; emotion classification ; wearable devices ; deep neural networks ; multispectral imaging ; face recognition ; in the wild ; driver emotion recognition ; multimodal ; self-report ; real-world driving ; EEG ; learning emotions ; attention ; convolutional neural network ; multi-channel band features ; eye movement ; brain connectivity ; review ; human emotions ; affective and physiological states ; Plutchik’s wheel of emotions ; sensors ; methods and applications ; statistical and multiple criteria analysis ; country success and publications maps of the world ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 44
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: Myxobacteria are fascinating and important prokaryotes. They have large genomes and exhibit a wide range of interesting behaviors, including multicellular fruiting body formation, social interaction, predation, and secondary metabolite production. Substantial progress is being made in understanding their ecological roles and the evolutionary forces that have shaped their phenotypes and behaviors. Novel species of myxobacteria are regularly described, often producing unusual metabolites and enzymes which can be of significant biotechnological interest. Molecular studies, ranging in subject from individual enzymes to entire ‘omes, continue to provide rich insights into myxobacterial biology. This collected volume brings together five research articles and three reviews, to provide a snapshot of current myxobacterial research in all its diversity.
    Keywords: carotenoids ; comparative genomics ; development ; fruiting body formation ; one-component systems ; quorum signalling ; two-component systems ; myxobacteria ; Myxococcales ; germination ; bacterial cell wall ; sporulation ; morphology ; photoreceptor ; photosensitizer ; photoregulation ; singlet oxygen ; plasmalogens ; CarF ; vitamin B12 ; CarH ; ECF-sigma ; CarD-CdnL ; microbial food web ; trophic interactions ; predator–prey interactions ; mesopredator ; social bacteria ; nematodes ; experimental community ; behavior ; Myxococcus sp. ; Corallococcus sp. ; Melittangium sp. ; Archangium sp. ; biosynthetic gene clusters ; Myxococcus xanthus ; phase contrast microscopy ; fluorescence microscopy ; aggregation ; rippling ; deep learning ; generative adversarial network ; pretator-prey coevolution ; antagonism ; mucoidy ; predatory bacteria ; bacterial predation ; prey diversity ; negative frequency dependence ; experimental evolution ; MyxoEE-6 ; functional genomics ; genome evolution ; genome organisation ; pan-genome ; proteomics ; taxonomy ; transcriptomics ; n/a ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences ; bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSG Microbiology (non-medical)
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  • 45
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue presents the latest advances in the field of Textile-Reinforced Cement Composites, including Textile-Reinforced Concrete (TRC), Textile-Reinforced Mortar (TRM), Fabric-Reinforced Cementitious Matrix (FRCM), etc. These composite materials distinguish themselves from other fibre-reinforced concrete materials by their strain-hardening behaviour under tensile loading. This Special Issue is composed of 14 papers covering new insights in structural and material engineering. The papers include investigations on the level of the fibre reinforcement system as well as on the level of the composites, investigating their impact and fatigue behaviour, durability and fire behaviour. Both the strengthening of existing structures and the development of new structural systems such as lightweight sandwich systems are presented, and analysis and design methods are discussed. This Special Issue demonstrates the broadness and intensity of the ongoing advancements in the field of Textile-Reinforced Cement composites and the importance of several future research directions.
    Keywords: TA1-2040 ; T1-995 ; practical application ; fabric reinforced cementitious mortar ; tensile strength ; carbon concrete composite ; TRC ; cement composites ; model calibration ; micro-fiber ; textile reinforced cementitious composites (TRC) ; alkaline environment ; test setup ; fatigue ; textile-reinforced mortar ; foam concrete (FC) ; FRCM ; fire ; stochastic cracking model ; model ; retrofitting ; toughness ; bending tests ; normal weight/lightweight aggregates ; layered finite elements ; carbon-reinforced concrete ; fiber ; tension ; ACK model ; impact loading ; sandwich elements ; durability ; textile ; creep ; fiber-reinforced concrete ; digital image correlation (DIC) ; moisture ; size effect ; textile reinforcement ; bending ; CRC ; elevated temperatures ; mixture rules ; fibre ; carbon reinforced concrete ; cathodic corrosion protection ; glass fabric ; strengthening ; design provisions ; high performance concrete ; wind loading ; textile reinforced mortar ; masonry ; textile-reinforced concrete ; strain-hardening cement-based composites ; cementitious composites ; design ; carbon textile ; textile reinforced concrete ; textile coating ; thin-walled shells ; reactive powder concrete (RPC) ; shear ; short-fiber reinforcement ; epoxy impregnation ; finite element analysis (FEA) ; bond ; high temperature ; textile reinforced concrete (TRC) ; finite element model ; uniaxial tensile tests ; structural insulating sandwich panel ; shear span ; crack spacing ; hybrid reinforcement ; four-point bending tests ; real scale bending experiments ; single-yarn pullout ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 46
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Edition of Energies on “Energy Storage and Management for Electric Vehicles” draws together a collection of research papers that critically evaluates key areas of innovation and novelty when designing and managing the high-voltage battery system within an electrified powertrain. The addressed topics include design optimisation, mathematical modelling, control engineering, thermal management, and component sizing.
    Keywords: TA1-2040 ; T1-995 ; battery charging ; lithium ion battery ; adaptive forgetting factor ; operating expenses ; cell sorting ; linear programming ; Simulink ; equivalent circuit model ; genetic algorithm ; multi-parameters sorting ; hybrid power system ; electric vehicle ; energy storage ageing and degradation ; parameter estimation ; Simscape ; supercapacitors ; state-of-health (SOH) ; battery energy storage system ; ECE15 ; efficiency ; residential battery storage ; timetable optimization ; self-discharge ; dynamic programming approach ; state of charge estimation ; regenerative energy ; fuel cell ; energy storage system ; nonlinear battery model ; charging scheme ; Li-Sulfur batteries ; Matlab ; dynamic flow rate optimization ; rule-based optimal strategy ; second-life energy storage applications ; Identification ; hybrid vehicle ; recursive least square ; thermal modelling ; zinc–nickel single-flow battery ; Luenberger observer ; HPPC ; vehicle-to-building ; ?-constraint method ; lithium-ion battery ; life cycle assessment ; parameter identification ; Lipschitz nonlinear system ; lithium titanate oxide batteries ; batteries ; battery degradation ; improved artificial bee colony ; optimal control ; thermal behaviour ; supercapacitor models ; battery cycle-life extension ; cycle-life ; self-organizing maps clustering ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 47
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Laser welding is a high-energy process used in a wide range of advanced materials to obtain micro- to macro-sized joints in both similar and dissimilar combinations. Moreover, this technique is widely used in several industries, such as automotive, aerospace, and medical industries, as well as in electrical devices. Although laser welding has been used for several decades, significant and exciting innovations often arise from both the process and/or advanced materials side.
    Keywords: TA1-2040 ; T1-995 ; n/a ; tensile strength ; microstructure ; aided electric current ; stainless steel ; accuracy ; porosity control ; laser offset welding ; T-joint ; BTi-6431S ; dissimilar metal ; finite element method ; weld pool behavior ; dissimilar welding ; WPP ; laser welds ; HLAW ; fiber laser ; steel S700MC ; conduction regime ; liquid metal ; buy-to-fly ; EBSD phase mapping ; mass transfer ; mechanical properties ; hardness ; MAG ; phase transformation ; prediction ; LKW ; Ti-5Al-5V-5Mo-3Cr ; laser beam ; laser welding-brazing ; DP1000 steel ; Ti–6Al–4V ; titanium ; low alloyed steel ; H-shaped fusion zone ; pulsed Nd:YAG laser beam welding ; spatter ; high-speed imaging ; weld morphology ; high temperature titanium alloy ; Al/steel joints ; hybrid welding ; dissimilar material ; laser beam welding ; intermetallic layer ; WW ; L-joint ; penetration ; laser stake welding ; laser keyhole welding ; trip steel ; finite element analysis ; laser welding ; magnesium alloy thin sheet ; keyhole ; tensile properties ; dissimilar joining ; IMC layers ; SKM ; fiber laser welding ; aluminium ; dual phase steel ; aluminum alloy T-joint ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 48
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: After almost two decades of continuous development in bio, circular, and green economy, the time is ripe for the assessment of the major achievements and challenges that private and public enterprises face today to further enhance these global sustainability concepts. Due to the central role of political incentives for the development and implementation of environmentally friendly and sustainable practices, the present book project focuses on the nexus between public policies, institutions, quality of public sector management, and patterns of interaction between government and private businesses in backing bio, green, and circular economy practices and eco-innovation. In addition, the project also accommodates surveys that elaborate on the differences between the implementation of new organizational forms and scientific innovations in technologically advanced and developing settings.
    Keywords: energy demand ; renewable energy ; biomass ; energy policies ; organizational factors ; healthcare waste management practices ; public hospitals ; Libya ; consumers ; cluster analysis ; sustainable consumption ; mass media ; social media ; green hydrogen ; green hydrogen value chain ; developing countries ; renewable energy sources ; hydrogen strategy ; scaling ; upscaling ; scaling innovation ; innovation diffusion ; innovation ; systematic literature review ; garbage sorting ; urban garbage disposal ; rural garbage disposal ; willingness ; family life ; neighbourhood ; COVID-19 ; Pakistan economy ; economic scale ; Keynesian theory ; mitigation ; economic revival measures ; innovations ; renewable power ; rebound effect ; low-carbon economy ; carbon pricing policy ; border carbon tax ; Sino–US trade friction ; export grab effect ; firm innovation ; GDP prediction ; feature selection ; deep learning ; temporal convolutional network ; organizational sustainability ; social and economic sustainability ; knowledge sharing ; organizational agility ; organizational behavior ; sustainable organizations ; economic sustainability ; consumer experience ; sustainable commerce ; online consumer behaviour ; e-commerce platform ; online purchase intention ; online customer engagement ; energy security ; energy policy ; energy resources ; sustainability ; bibliometrics ; circular business model ; open business model ; sharing economy ; circular economy ; peer-to-peer ; electricity trading ; green product ; green consumer behavior ; environmental responsibility ; environmental concern ; green purchasing decisions ; green business ; consumption dimension ; production dimension ; financial dimension ; technological dimension ; fundraising campaigns ; social networking sites ; NPO ; humanitarian response ; Kuwait ; Bahrain ; Guatemala ; forest ; property rights ; community concession ; entrepreneurship ; forest sustainability ; economic development ; free-market environmentalism ; Latin America ; consumption coupons ; purchase probability ; inventory optimization ; minimum-cost maximum-flow ; bioeconomy ; green growth ; eco-innovation ; environmental Kuznets curve ; EKC ; environmental economics and policy ; ecological economics ; resource management ; sustainable development ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
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  • 49
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.
    Keywords: TA1-2040 ; T1-995 ; keyframes ; time-delay ; whale optimization algorithm ; multilevel thresholding ; multi-exposure image fusion ; additive manufacturing ; patch structure decomposition ; ultra-sound images ; 3D scanning ; Arimoto entropy ; contrast enhancement ; spatial filling factor ; depth maps ; image processing ; 3D prints ; differential evolution ; field of experts ; normalized divergence measure ; image privacy ; multiscale top-hat transform ; q-exponential ; texture information entropy ; diffusion ; hybrid algorithm ; Weibull statistics ; adaptive selection ; nonextensive entropy ; computer aided diagnostics ; fatty liver ; random forest ; DNA encoding ; low contrast ; entropy ; Minkowski island ; fuzzy entropy ; free-form deformations ; person re-identification ; chaotic system ; DNA computing ; pavement ; information entropy ; discrete entropy ; Tsallis statistics ; video skimming ; prime-indexed primes ; natural scene statistics (NSS) ; Hénon map ; q-sigmoid ; image entropy ; Shannon entropy ; macrotexture ; Shannon’s entropy ; binary image ; multi-feature fusion ; image analysis ; uncertainty assessment ; non-rigid registration ; hash layer ; Cantor set ; dynamic filtering ; deep neural network ; security analysis ; multiple-image encryption ; Hamming distance ; blind image quality assessment (BIQA) ; q-Gaussian ; remote sensing ; decay trend ; chaotic cryptography ; chaotic strategy ; cross-entropy loss ; random insertion ; metabolic syndrome ; sign languages ; generalized entropies ; relevance feedback ; image retrieval ; two-dimensional chaotic economic map ; cryptanalysis ; infrared images ; 3D Latin cube ; SHA-256 hash value ; gradient distributions ; structural entropy ; discrete cosine transform (DCT) ; chaotic map ; hepatic steatosis ; machine vision ; electromagnetic field optimization ; security ; image segmentation ; quantization loss ; colonoscopy ; video summarization ; permutation ; Kapur’s entropy ; surface quality assessment ; permutation-diffusion ; Ramanujan primes ; Rényi entropies ; chosen-plaintext attack ; image encryption ; dynamic index ; color image segmentation ; ultrasound ; Otsu method ; sigmoid ; reconstruction ; image information entropy ; 3-D digital imaging ; positron emission tomography ; medical imaging ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 50
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Wood composites have shown very good performance, and substantial service lives when correctly specified for the exposure risks present. Selection of an appropriate product for the job should be accompanied by decisions about the appropriate protection, whether this is by design, by preservative treatment or by wood modification techniques. This Special Issue, Advances in Wood Composites presents recent progress in enhancing and refining the performance and properties of wood composites by chemical and thermal modification and the application of smart nanomaterials, which have made them a particular area of interest for researchers. In addition, it reviews some important aspects in the field of wood composites, with particular focus on their materials, applications, and engineering and scientific advances, including solutions inspired biomimetrically by the structure of wood and wood composites. This Special Issue, with a collection of 13 original contributions, provides selected examples of recent Advances in Wood Composites
    Keywords: TA1-2040 ; T1-995 ; shear strength ; n/a ; buckling ; thermal property ; acetic anhydride ; WPC ; silicon carbide ; coating amount ; composite ; polymer-triticale boards ; wood ; activation volume ; oriented strand lumber (OSL) ; bending strength ; nanowollastonite ; VOCs ; wood-inorganic composites ; thermal modification ; wood plastic composite ; crystallinity ; sol-gel process ; wood adhesive ; straw ; mechanical properties ; bamboo ; plastic ; carbothermal reduction ; formaldehyde emissions ; cellulose ; graphene nano-platelets ; creep behavior ; surface properties ; dimensional stability ; nanocompounds ; UF resin ; tunnel-structured ; ceramic ; color ; water absorption ; high-density polyethylene film ; mechanical property ; aquacultural ; HDPE ; biorefinery lignin ; methyl methacrylate ; structural analysis ; sol–gel process ; polyurethane-acrylate ; mechanical and physical properties ; water-based UV curing coating ; oak (Quercus alba L.) ; dynamic thermodynamic ; stepped isostress method ; thermoplastic polymers ; sustainable adhesives ; finite element analysis ; rapid formaldehyde release ; adhesive penetration ; modulus of elasticity in bending ; Southwell’s method ; hydrophobicity ; Abaqus ; sepiolite ; chemical structure ; alder plywood ; wood panels ; particleboard properties ; chemical modification ; thickness swelling ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The need for energy is increasing and at the same time production from the conventional reservoirs is declining quickly. This requires an economically and technically feasible source of energy for the coming years. Among some alternative future energy solutions the most approachable source is from unconventional reservoirs. As the name “unconventional” implies it requires different and challenging approach to characterize and to develop such a resource. This special issue covers some of the technical challenges for developing unconventional energy sources from shale gas/oil, tight gas sand, and coalbed methane.
    Keywords: bedding fractures ; failure criterion ; lamina ; tight oil ; tight sandstone ; finite element simulation ; numerical simulation ; unconventional reservoir ; permeability ; group method of data handling ; artificial neural network ; well logs ; sensitivity analysis ; tight gas reservoir ; multi-fractured horizontal well (MFHW) ; unstable productivity model ; productivity forecast ; influencing factor analysis ; horizontal well with multiple finite-conductivity fractures ; elliptical-shaped drainage ; productivity index ; non-Darcy flow ; pressure-dependent conductivity ; reservoir properties ; void space structure ; porosity ; complex rocks ; NMR ; MICP ; CT ; SEM ; coal-bearing tight sandstone ; organic-rich clasts ; occurrence ; classifications ; formation mechanisms ; Ordos Basin ; hydraulic fracturing ; fracturing fluids ; fluids-rock interaction ; environmental implication ; history matching ; semianalytic model ; unconventional gas reservoirs ; multistage fractured horizontal wells ; fractal theory ; pore structure ; heterogeneity ; NMR measurements ; multifractal analysis ; shale reservoir ; elastic properties ; brittleness ; rock physics ; brittle spot identification ; shale gas ; reservoir characteristics ; gas content ; eastern Sichuan Basin ; the Da’anzhai member ; pulse decay method ; gas adsorption ; dual media ; unconventional core ; natural fracture ; influencing factor ; oil production ; carbonate rock ; basement reservoir ; Jizhong Sub-basin ; dynamic pore network modeling ; shale reservoirs ; water imbibition ; discrete element method ; modified fluid-mechanical coupling algorithm ; injection sequence ; well spacing ; stress shadow effect ; seismic location ; microseismic events ; waveform stacking ; induced seismicity ; CBM ; surfactant ; solid-free drilling fluid ; CBM reservoir wettability ; machine learning ; lithofacies ; umiat ; Alaska ; proppant transportation ; cross fractures ; CFD simulation ; dimensional analysis ; equilibrium proppant height ; coalbed methane ; Lattice Boltzmann method ; gas diffusion ; adsorption–desorption ; pore-scale ; clay minerals ; pore structures ; tight gas reservoirs ; Xujiaweizi Rift ; Northern Songliao Basin ; methane adsorption isotherm ; coal properties ; gradient boosting decision tree ; estimation model ; shale gas reservoir ; geology ; Gibbs excess adsorption ; supercritical adsorption ; gas viscosity ; high voltage spark discharge ; electrohydraulic effect ; electrical conductivity ; drilling ; rock damage ; pressure waves ; water fracturing ; turbulence effect ; Eulerian multiphase modeling ; proppant transport mechanism ; equilibrium height prediction model ; adaptive filtering ; complex noise canceling ; electromagnetic telemetry ; multifractured horizontal wells ; production analysis ; irregular stimulated region ; natural gas hydrate ; seismic modeling ; fractional derivatives ; gas geochemical characteristics ; noble gas ; shale gas evolution ; Large Igneous Province (LIP) ; gas loss ; geological structure ; gas controlling pattern ; neutral surface ; tectonic movement ; Bumu region ; seismic interpretation ; depositional environments characteristics ; Wheeler diagram ; seismic attributes ; heterogeneous sequence ; sample size ; neutron scattering ; mercury injection capillary pressure ; adsorption ; shale ; junggar basin ; hong-che fault zone ; carboniferous ; volcanic reservoir ; main controlling factors of hydrocarbon accumulation ; fracture ; vug ; micro CT ; carbonate ; wave velocity ; amorphous SiO2 ; X-ray diffraction ; X-ray fluorescence spectrometry ; scanning electron microscope ; quantitative analysis ; void ratio ; FEM ; ABAQUS ; matrix porosity ; kerogen porosity ; water saturation ; gas hydrate ; saturation ; deep learning ; recurrent neural network ; molecular simulation ; enhanced oil recovery ; methane ; shale petroleum ; technological development ; patent ; network analysis ; imbibition ; osmosis ; unconventional formations ; EOR ; water flooding ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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  • 52
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Micro/nanofluidic chips have found increasing applications in the analysis of chemical and biological samples over the past two decades. Electrokinetics has become the method of choice in these micro/nano-chips for transporting, manipulating and sensing ions, (bio)molecules, fluids and (bio)particles, etc., due to the high maneuverability, scalability, sensitivity, and integrability. The involved phenomena, which cover electroosmosis, electrophoresis, dielectrophoresis, electrohydrodynamics, electrothermal flow, diffusioosmosis, diffusiophoresis, streaming potential, current, etc., arise from either the inherent or the induced surface charge on the solid-liquid interface under DC and/or AC electric fields. To review the state-of-the-art of micro/nanochip electrokinetics, we welcome, in this Special Issue of Micromachines, all original research or review articles on the fundamentals and applications of the variety of electrokinetic phenomena in both microfluidic and nanofluidic devices.
    Keywords: T1-995 ; micro/nanofluidics ; streaming potential/current ; electrical sensing ; electrokinetics ; diffusioosmosis ; dielectrophoresis ; electroosmosis ; electrophoresis ; diffusiophoresis ; induced charge electrokinetics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: The concept of remote sensing as a way of capturing information from an object without making contact with it has, until recently, been exclusively focused on the use of Earth observation satellites.The emergence of unmanned aerial vehicles (UAV) with Global Navigation Satellite System (GNSS) controlled navigation and sensor-carrying capabilities has increased the number of publications related to new remote sensing from much closer distances. Previous knowledge about the behavior of the Earth's surface under the incidence different wavelengths of energy has been successfully applied to a large amount of data recorded from UAVs, thereby increasing the special and temporal resolution of the products obtained.More specifically, the ability of UAVs to be positioned in the air at pre-programmed coordinate points; to track flight paths; and in any case, to record the coordinates of the sensor position at the time of the shot and at the pitch, yaw, and roll angles have opened an interesting field of applications for low-altitude aerial photogrammetry, known as UAV photogrammetry. In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. The set of technical advances described above allows for geometric modeling of terrain surfaces with high accuracy, minimizing the need for topographic campaigns for georeferencing of such products.This Special Issue aims to compile some applications realized thanks to the synergies established between new remote sensing from close distances and UAV photogrammetry.
    Keywords: unmanned aerial vehicle ; urban LULC ; GEOBIA ; multiscale classification ; unmanned aircraft system (UAS) ; deep learning ; super-resolution (SR) ; convolutional neural network (CNN) ; generative adversarial network (GAN) ; structure-from-motion ; photogrammetry ; remote sensing ; UAV ; 3D-model ; surveying ; vertical wall ; snow ; remotely piloted aircraft systems ; structure from motion ; lidar ; forests ; orthophotography ; construction planning ; sustainable construction ; urbanism ; BIM ; building maintenance ; unmanned aerial vehicle (UAV) ; structure-from-motion (SfM) ; ground control points (GCP) ; accuracy assessment ; point clouds ; corridor mapping ; UAV photogrammetry ; terrain modeling ; vegetation removal ; unmanned aerial vehicles ; power lines ; image-based reconstruction ; 3D reconstruction ; unmanned aerial systems ; time series ; accuracy ; reproducibility ; orthomosaic ; validation ; drone ; GNSS RTK ; precision ; elevation ; multispectral imaging ; vegetation indices ; nutritional analysis ; correlation ; optimal harvest time ; UAV images ; monoscopic mapping ; stereoscopic plotting ; image overlap ; optimal image selection ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
    Keywords: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The use of renewable energy is an effective solution for the prevention of global warming. On the other hand, environmental plasmas are one of powerful means to solve global environmental problems on nitrogen oxides, (NOx), sulfur oxides (SOx), particulate matter (PM), volatile organic compounds (VOC), and carbon dioxides (CO2) in the atmosphere. By combining both technologies, we can develop an extremely effective environmental improvement technology. Based on this background, a Special Issue of the journal Energies on plasma processes for renewable energy technologies is planned. On the issue, we focus on environment plasma technologies that can effectively utilize renewable electric energy sources, such as photovoltaic power generation, biofuel power generation, wind turbine power generation, etc. However, any latest research results on plasma environmental improvement processes are welcome for submission. We are looking, among others, for papers on the following technical subjects in which either plasma can use renewable energy sources or can be used for renewable energy technologies: Plasma decomposition technology of harmful gases, such as the plasma denitrification method; Plasma removal technology of harmful particles, such as electrostatic precipitation; Plasma decomposition technology of harmful substances in liquid, such as gas–liquid interfacial plasma; Plasma-enhanced flow induction and heat transfer enhancement technologies, such as ionic wind device and plasma actuator; Plasma-enhanced combustion and fuel reforming; Other environment plasma technologies.
    Keywords: TA1-2040 ; T1-995 ; wet scrubber ; thermal switch ; n/a ; blade-barrier electrode ; NOx reduction ; woodceramics ; syngas ; re-entrainment phenomena ; agglomeration ; two-stage AC-AC converter ; low-resistivity particle ; PFC ; sodium sulfide ; NOx ; energy efficiency ; marine diesel engine ; combustor ; semiconductor manufacturing ; corona discharge ; thermal arc plasma ; nonthermal plasma ; ignition ; input-parallel and output-series connected inverter ; thermal management ; gas turbine ; ionic wind ; waste cooking oil ; diesel engine ; nanoparticle ; plasma generator ; waste heat ; high-frequency DC-AC inverter ; electrostatic precipitator ; water vapor ; gasification ; ion-induced nucleation ; aftertreatment ; plasma ; collection efficiency ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: The use of telemedicine and mobile devices is growing, and sensors might aid in creating creative solutions. Developing these solutions is crucial for monitoring senior citizens, lifestyles, and medical procedures. This Special Issue’s goal was to bring together academics and professionals in healthcare and medicine interested in using information and communication technologies (ICT) to serve people with special needs. The development of assistive technology for various users to follow sports and other activities is strongly tied to this study area. Data protection is crucial, and the development of these solutions for medical uses should be verified. The security and privacy of the information may be tied to other recognized research projects for their acceptability. ICT research has considerably improved quality of life and has fully assimilated all citizens into society through medical rehabilitation and assistive technology. The technologies and research fields that influence medical informatics include databases, networking, graphical user interfaces, data mining, machine learning, intelligent decision support systems, and specialized programming languages. Because mobile devices are commonly used for several everyday chores and are equipped with sensors that monitor various physical and physiological indicators, it is crucial to encourage the development of m-Health and e-Health solutions for healthcare practitioners. In this area, several solutions are now being developed. In addition, they can collaborate with emerging technologies for social assistance while enhancing life quality.
    Keywords: data privacy ; taxonomy ; IoT ; COVID-19 ; mobile application ; accelerometer sensor ; stand-up time ; total time ; aging ; linear-map convolutional neural network ; direct acyclic graph ; action recognition ; spatial feature ; temporal feature ; frailty ; home monitoring ; user-centered design ; usability ; user experience ; acceptance ; activity recognition ; Internet of Things ; smart house ; deep learning ; channel state information ; glaucoma screening ; retinal images ; segmentation ; classification ; precision nutrition ; food plans ; machine learning ; food logging ; Eight Hop Test ; systematic review ; measurement ; sensors ; diseases ; wrist-wearable device ; PPG processing ; physiological parameters ; web-based applications ; data analysis ; elderly monitoring ; successful aging ; gerontechnology ; AAL ; healthcare ; prevalidation ; deployment ; chronic heart failure ; large-scale pilot ; H2020 ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: “Engineering Fluid Dynamics 2018”. The topic of engineering fluid dynamics includes both experimental as well as computational studies. Of special interest were submissions from the fields of mechanical, chemical, marine, safety, and energy engineering. We welcomed both original research articles as well as review articles. After one year, 28 papers were submitted and 14 were accepted for publication. The average processing time was 37.91 days. The authors had the following geographical distribution: China (9); Korea (3); Spain (1); and India (1). Papers covered a wide range of topics, including analysis of fans, turbines, fires in tunnels, vortex generators, deep sea mining, as well as pumps.
    Keywords: TA1-2040 ; T1-995 ; fluid structure interaction (FSI) ; numerical methods ; axial gap ; impeller ; radiation noise ; natural ventilation ; ventilation performance ; Computational Fluid Dynamics (CFD) ; experimental research ; hot streak ; disc thickness ; fire ; circumferential groove casing treatment ; blade wrap angle ; sweep and lean ; computational fluid dynamics (CFD) ; OpenFOAM ; gas turbine ; fire propagation ; disc spacing distance ; hydraulic collecting ; thermosyphon ; wind tunnel ; flow control ; source term ; leading edge ; flow around cylinder ; vortex generators ; plug-holing ; noise spectrum ; CGCT-blade integrated optimization ; dimensional analysis ; deep sea mining ; heat transfer ; abnormal blade installation angle ; axial fan ; rotating stall ; optimized design ; orthogonal test ; fluid dynamics ; simulation and modeling ; aerodynamic noise ; centrifugal pump ; suction flow field ; two-stage axial fan ; cavitation inception ; evaporation and condensation ; numerical simulation ; CFD simulation ; aspect ratio ; evacuation ; tunnel slope ; Tesla turbine ; vortex induced vibration (VIV) ratio ; global optimization ; volume of fluid ; blade exit angle ; acoustic energy ; tunnel vehicle fire ; multiphase flow ; distribution characteristic ; unsteady heat release rate ; hydrodynamic response ; manganese nodules exploitation ; isentropic efficiency ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Phages have shown a high biotechnological potential with numerous applications. The advent of high-resolution microscopy techniques aligned with omic and molecular tools have revealed innovative phage features and enabled new processes that can be further exploited for biotechnological applications in a wide variety of fields. The high-quality original articles and reviews presented in this Special Issue demonstrate the incredible potential of phages and their derived proteins in a wide range of biotechnological applications for human benefit. Considering the emergence of amazing new available bioengineering tools and the high abundance of phages and the multitude of phage proteins yet to be discovered and studied, we believe that the upcoming years will present us with many more fascinating and new previously unimagined phage-based biotechnological applications.
    Keywords: TA1-2040 ; T1-995 ; toxicity ; encapsulation ; n/a ; cancerous tumors ; bacteriophage-derived lytic enzyme ; native gel electrophoresis ; bacteriophages ; Cpl-1 ; O-antigen ; ESKAPE ; Clostridium perfringens ; X-ray crystallography ; macromolecular interactions ; safety ; biofilm ; major coat protein ; Streptococcus agalactiae ; Staphylococcus aureus ; tail sheath protein ; magnetic separation ; serotyping ; pathogenic viruses ; liposomes ; tuberculosis ; Listeria monocytogenes ; nanotubular structures ; alpha-sheet ; biosensors ; sarcoidosis ; tailspike proteins ; M13 bacteriophage ; Streptococcus pneumoniae ; gene expression regulation ; bacteriophage recombination ; self-assembly ; phage therapy ; R-type pyocin ; contractile injection systems ; bacteriophage vB_EcoM_FV3 ; microtiter plate assay ; Enterococcus faecalis ; culture enrichment ; drug delivery vehicles ; neurodegenerative disease ; landscape phage ; niosomes ; bacteriophage ; Myoviridae ; bacteriophage evolution ; porous structure ; phage-host interaction ; phage display ; immune response ; antibiotic resistance ; Pseudomonas aeruginosa ; phage ; bacteriocin ; Appelmans ; fluorescence sensor ; molecular probe ; nanomedicine ; Shigella flexneri ; reporter phage ; filters ; in vitro activity ; capsid dynamics ; immunoscreening ; diagnostics ; microarray ; receptor-binding protein ; endolysin ; enzybiotics ; transfersomes ; T7phage library ; Pal ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-27
    Description: Nowadays, forecast applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications. A large number of forecast approaches related to different forecast horizons and to the specific problem that have to be predicted have been proposed in recent scientific literature, from physical models to data-driven statistic and machine learning approaches. In this Special Issue, the most recent and high-quality researches about forecast are collected. A total of nine papers have been selected to represent a wide range of applications, from weather and environmental predictions to economic and management forecasts. Finally, some applications related to the forecasting of the different phases of COVID in Spain and the photovoltaic power production have been presented.
    Keywords: Direct Normal Irradiance (DNI) ; IFS/ECMWF ; forecast ; evaluation ; DNI attenuation Index (DAI) ; bias correction ; nowcast ; meteorological radar data ; optical flow ; deep learning ; Bates–Granger weights ; uniform weights ; (REG) ARIMA ; ETS ; Hodrick–Prescott trend ; Google Trends indices ; Himalayan region ; streamflow forecast verification ; persistence ; snow-fed rivers ; intermittent rivers ; costumer relation management ; business to business sales prediction ; machine learning ; predictive modeling ; microsoft azure machine-learning service ; travel time forecasting ; time series ; bus service ; transit systems ; sustainable urban mobility plan ; bus travel time ; learning curve ; forecasting ; production cost ; cost estimating ; semi-empirical model ; logistic map ; COVID-19 ; SARS-CoV-2 ; PV output power estimation ; PV-load decoupling ; behind-the-meter PV ; baseline prediction ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Nano/micro-size particles are widely applied in various fields. Among the various particles, silver particles are considered among the most prominent nanomaterials in the biomedical and industrial sectors because of their favorable physical, chemical, and biological characteristics. Thus, numerous studies have been conducted to evaluate their properties and utilize them in various applications, such as diagnostics, anti-bacterial and anti-cancer therapeutics, and optoelectronics. The properties of silver particles are strongly influenced by their size, morphological shape, and surface characteristics, which can be modified by diverse synthetic methods, reducing agents, and stabilizers. This Special Issue provides a range of original contributions detailing the synthesis, modification, properties, and applications of silver materials. Nine outstanding papers describing examples of the most recent advances in silver nano/microparticles are included. Silver nano/micro-size particles have many potential advantages as next-generation materials in various areas, including nanomedicine. This Special Issue might be helpful to understand the value of silver particles in the biomedical and industrial fields
    Keywords: TA1-2040 ; T1-995 ; n/a ; membrane ; bacteria ; cyclodextrin ; silver nanomaterial ; drug delivery ; transparent conductive film ; cytocompatibility ; surface free energy ; administration route ; sericin ; biosensor ; uptake ; substrate modification ; silver ion ; AgNPs ; mechanical properties ; cell culture ; titanium alloy ; Au–Ag alloy ; silver shell ; moderate sintering ; wound dressing ; polymer nanocomposite ; DNA damage ; surface morphology ; reactive oxygen species (ROS) ; flexible and printed electronics ; plants ; reactive oxygen species ; mechanism ; optoelectronics ; cytotoxicity ; photonic sintering ; synthesis ; silver nanoparticle ; doxorubicin (DOX) ; food packaging ; SERS detection ; nanomedicine ; antimicrobial activity ; nanogaps ; TNFR1 ; silica template ; silver ions release ; diagnostics ; phytotoxicity ; polydopamine ; silver nanoparticles ; tumor necrosis factor ; protective agent ; characterization ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    Publication Date: 2023-12-21
    Description: This Special Issue presents selected papers from the 8th
    Keywords: T1-995 ; n/a ; flexible electronic device ; microfluidic channels ; stretchable electronic substrate ; glyoxylic acid Cu complex ; flexible device ; implant ; laser direct writing ; surface mounting ; surface plasmon resonance ; skeletal muscle ; medical device ; functional surface ; liquid metal ; engineered muscle ; myoblast ; adipose tissue ; kirigami structure ; biocompatible ; mechanical metamaterials ; connector ; micro-PIV ; contact resistance ; adipocyte ; magneto-impedance sensor ; acoustofluidics ; three-dimensional cell culture ; microfluidics ; core-shell hydrogel fiber ; nondestructive inspection ; vibration-induced flow ; nanoscale structure ; nano/microparticle separation ; logarithmic amplifier ; femtosecond laser ; near-infrared ; tactile display ; spectroscopy ; micro-pillar ; numerical analysis ; microscale thermophoresis ; condensation ; wettability ; 4D printing ; artificial kidney ; electrical impedance measurement ; lipid droplet ; high frequency ; blood coagulation ; micro-electro-mechanical-systems (MEMS) technologies ; biofabrication ; thermal sensation ; cyclic stretch ; molecular dynamics ; Cu micropattern ; thin-film ; grating ; Si ; multiphase flow ; artificial blood vessel ; lipolysis ; thermal conductivity ; reduction ; contact pressure ; 3D printing ; 3T3-L1 ; thermal tactile display ; Schottky barrier ; stimuli-responsive hydrogel ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This multidisciplinary book covers a wide range of topics addressing critical challenges for advancing the understanding and management of shale oil and shale gas resources. Both fundamental and practical issues are considered. By covering a variety of technical topics, we aim to contribute to building a more integrated perspective to meet major challenges faced by shale resources. Combining complementary techniques and examining multiple sources of data serve to advance our current knowledge about these unconventional reservoirs. The book is a result of interdisciplinary and collaborative work. The content includes contributions authored by active scientists with ample expertise in their fields. Each article was carefully peer-reviewed by researchers, and the editorial process was performed by an experienced team of Senior Editors, Guest Editors, Topic Editors, and Editorial Board Members. The first part is devoted to fundamental topics, mostly investigated on the laboratory scale. The second part elaborates on larger scales (at near-wellbore and field scales). Finally, two related technologies, which could be relevant for shale plays applications, are presented. With this Special Issue, we provide a channel for sharing information and lessons learned collected from different plays and from different disciplines.
    Keywords: TA1-2040 ; T1-995 ; fracture mode ; Multi Finger Caliper ; sensitivity analysis ; shale oil ; borehole stability ; shale reservoir ; XRD ; XRF ; shear deformation ; optimization ; DSC ; EDX ; imbibition ; oil shale ; shale ; pore size distribution ; seismic wavefield ; unconventional ; fracturing fluid ; shale gas reservoir ; elastomer seal ; oil production ; leaching ; elemental analysis ; Chang 7 reservoir ; shale reservoirs ; Wufeng-Longmaxi shale ; TGA ; fracturing ; solid-liquid extraction ; fuling gas field ; Niutitang formation ; isolated organic matter ; SEM ; safety levels of activity ; well integrity ; flowback fluid ; osmotic hydration ; anisotropy ; surface hydration ; ionic stabilizer ; quantitative evaluation ; tight oil recovery ; FTIR ; fluid-solid-heat coupling ; liner hanger ; dynamic crack initiation toughness ; Jordan ; numerical simulation ; organic matter pores ; shale drilling fluid ; finite element analysis ; multistage fracturing ; well ; negative extreme swelling ratio ; volume fracturing ; contact pressure ; NSCB specimen ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Biomolecular self-assembly provides a green, facile, and highly effective method to synthesize various functional nanomaterials that have exhibited considerable potential in the fields of nanotechnology, materials science, biomedicine, tissue engineering, food science, energy storage, and environmental science. In this collection of articles, we presented recent advance in the synthesis, characterization, and applications of self-assembled bio-nanomaterials. In a comprehensive review article, the controlled self-assembly of biomolecules including DNA, protein, peptide, enzymes, virus, and biopolymers via internal interactions and external simulations is introduced and discussed in detail. In other research articles, the self-assembly of DNA, protein, peptide, bio-drugs, liquid crystal polycarbonates, and diblock copolymers to various biomimetic/bioinspired nanomaterials and their potential applications in nanopatterning, sensors/biosensors, drug delivery, anti-parasite, and water purification are demonstrated.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; graphene oxide ; membrane ; spindle-like nanoparticles ; lamellar diblock copolymer ; pattern transfer ; flash nanoprecipitation ; interactions ; micromechanical biosensor ; multiscale method ; elastic property ; cholesteryl ; modular coassemble ; Meloidogyne incognita ; natural frequency ; protein ; nanoimprint lithography ; external stimulations ; ROS detection ; DNA film ; Abamectin ; polymeric prodrug ; amphipathic polycarbonates ; biocompatibility ; synergistic codelivery ; amphiphilic block copolymers ; nanostructures ; self-assembly ; stimulisensitive release ; biomolecules ; directed self-assembly ; water purification ; drug release ; triphenylphosphonium ; dicyanostilbene ; polyhedral oligomeric silsesquioxane (POSS) ; liquid crystal ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book
    Keywords: TA1-2040 ; T1-995 ; node speed ; linear recovery ; resource block allocation ; social awareness ; internet-of-things ; scheduling algorithm ; renewables ; neural network ; battery capacity ; energy awareness ; measurement structure ; optimization ; energy efficiency ; charging efficiency ; random structural matrices ; SDN ; water filling algorithm ; ONOS ; energy harvesting ; malware detection ; node density ; HetNets ; sustainability ; cooperative smart community ; adversarial samples ; spatial modulation ; NOMA ; 5G ; light-weight authentication ; green networking ; Device-to-Device (D2D) ; lightweight cipher ; mobile edge computing ; wireless power transfer ; adaptive link rate ; successive interference cancellation (SIC) ; directional charging vehicle ; self-interference cancellation ; proportional rate constraint ; inter-meeting time ; sustainable ; RWSN ; channel state information ; stochastic geometry ; networks ; green internet of things (IoT) ; PHY-layer ; IoT ; Markov chain ; traffic engineering ; QoS ; energy-efficient Ethernet ; power ; lightweight authentication ; energy aware routing ; authentication ; wired access ; amplify-and-forward ; software defined networking (SDN) ; image compressive sensing (CS) ; green ; edge computing ; LTE-A ; opportunistic networks ; RF Fingerprinting ; data centre ; multiple-input multiple-output ; Internet of Things ; machine learning ; peer discovery ; full-duplex ; industrial ; carbon footprint ; WSN ; imperfect CSI ; data center ; symbol error probability ; physical-layer authentication ; interference coordination ; clustering ; control and data plane ; wireless ; ICT ; bisection based optimal power allocation ; energy-efficiency ; consumer preferences ; real-time traffic ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering.
    Keywords: SVM ; budding rate ; UAV ; geometric consistency ; radiometric consistency ; point clouds ; ICP ; reflectance maps ; vegetation indices ; Parrot Sequoia ; artificial intelligence ; precision agriculture ; agricultural robot ; optimization algorithm ; online operation ; segmentation ; coffee leaf rust ; machine learning ; deep learning ; remote sensing ; Fourth Industrial Revolution ; Agriculture 4.0 ; failure strain ; sandstone ; digital image correlation ; Hill–Tsai failure criterion ; finite element method ; reference evapotranspiration ; moisture sensors ; machine learning regression ; frequency-domain reflectometry ; randomizable filtered classifier ; convolutional neural network ; U-Net ; land use ; banana plantation ; Panama TR4 ; aerial photography ; remote images ; systematic mapping study ; agriculture ; applications ; total leaf area ; mixed pixels ; Cabernet Sauvignon ; NDVI ; Normalized Difference Vegetation Index ; precision viticulture ; 3D model ; spatial vision ; fertirrigation ; teaching–learning ; spectrometry ; Sentinel-2 ; pasture quality index ; normalized difference vegetation index ; normalized difference water index ; supplementation ; decision making ; digital agriculture ; grape yield estimate ; berries counting ; Dilated CNN ; machine learning algorithms ; classification performance ; winter wheat mapping ; large-scale ; water stress ; Prunus avium L. ; stem water potential ; low-cost thermography ; thermal indexes ; canopy temperature ; non-water-stressed baselines ; non-transpiration baseline ; soil moisture ; andosols ; image processing ; greenhouse ; automatic tomato harvesting ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-02-01
    Description: These proceedings contain research papers that were accepted for presentation at the 14th International Conference Inter-Eng 2020 ,Interdisciplinarity in Engineering, which was held on 8–9 October 2020, in Târgu Mureș, Romania. It is a leading international professional and scientific forum for engineers and scientists to present research works, contributions, and recent developments, as well as current practices in engineering, which is falling into a tradition of important scientific events occurring at Faculty of Engineering and Information Technology in the George Emil Palade University of Medicine, Pharmacy Science, and Technology of Târgu Mures, Romania. The Inter-Eng conference started from the observation that in the 21st century, the era of high technology, without new approaches in research, we cannot speak of a harmonious society. The theme of the conference, proposing a new approach related to Industry 4.0, was the development of a new generation of smart factories based on the manufacturing and assembly process digitalization, related to advanced manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, and manufacturing tools and equipment. The conference slogan was “Europe’s future is digital: a broad vision of the Industry 4.0 concept beyond direct manufacturing in the company”.
    Keywords: T1-995 ; History of engineering & technology ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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  • 68
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-04-05
    Description: Each year, natural hazards, such as earthquakes, landslides, avalanches, tsunamis, floods, wildfires, severe storms, and drought, , affect humans worldwide, resulting in deaths, suffering, and economic losses. According to insurance broker Aon, 2010–2019 was the worst decade on record for economic losses due to disasters triggered by natural hazards, amounting to USD 3 trillion, which is USD 1 trillion more than for the period of 2000–2009. In 2019, the economic losses from disasters caused by natural hazards were estimated at over USD 200 billion (UNDRR Annual Report, 2019). In this context, remote sensing shows high potential to provide valuable information, at various spatial and temporal scales, concerning natural processes and their associated risks. The recent advances in remote sensing technologies and analysis, in terms of sensors, platforms, and techniques, are strongly contributing to the development of natural hazards research. With this Special Issue titled “Remote Sensing for Natural Hazards Assessment and Control”, we proposed state-of-the-art research that specifically addresses multiple aspects on the use of remote sensing (RS) for Natural Hazards (NH). The aim was therefore to collect innovative methodologies, expertise, and capabilities to detect, assess, monitor, and model natural hazards. The present Special Issue of Remote Sensing encompasses 18 open access papers presenting scientific studies based on the exploitation of a broad range of RS data and techniques, as well as focusing on a well-assorted sample of NH types.
    Keywords: wildfires ; hillslope erosion ; satellite imagery ; rainfall erosivity ; RUSLE ; rockfall source areas ; identification ; relief ; slope angle ; rock mass strength ; rockfall susceptibility ; land subsidence ; Geographic Information System (GIS) ; InSAR ; machine learning algorithm ; meta-heuristics ; Iran ; k-Nearest Neighbor ; Random Forest ; fires ; Landsat 8 ; Sentinel 2 ; Terra ; ASTER ; MODIS ; burned ; mapping ; hazard chain ; turbidity ; suspended sediment detection ; extreme climate events ; tailing dam risk management ; spatiotemporal pattern mining ; El Niño ; remote sensing ; geographic information system ; flash floods ; visual analysis ; SAR offset tracking ; glacier surface velocity ; glacier instability ; glacier hazards ; ice avalanches ; ENSO ; glacier mass balance ; glacier surface energy ; earthquake ; coseismic effects ; field line resonance ; acoustic gravity waves ; lithosphere-magnetosphere coupling ; burnt area monitoring ; Australia ; Sydney ; wildfire ; earth observation ; mid-resolution sensors ; time series analysis ; burn severity ; climate zones ; deep learning ; PRISMA ; burned area ; Sentinel-2 ; morphological operator ; convolutional neural network ; casualty prediction ; importance assessment ; spatial division ; support vector regression ; digital image correlation ; phase correlation ; optical flow ; time series image stack ; landslides ; ground motion identification ; displacement mapping ; UAS ; risk assessment ; random forest ; DInSAR ; Yan’an city ; settlement prediction ; reclaimed land ; exponential model ; Asaoka method ; wide-area deformation ; deformation detection ; time-series InSAR ; stacking ; Turpan–Hami basin ; heavy rainfall ; shallow landslides ; TRIGRS model ; spatial distribution ; susceptibility assessment ; Longchuan County ; Guangdong Province ; MT-InSAR ; ground deformation monitoring ; Sentinel-1A/B ; image partition ; block adjustment ; Gaofen-2 ; Interferometric synthetic aperture radar (InSAR) ; freeze–thaw processes ; permafrost ; Qilian Mountains ; natural hazards ; hazard ; vulnerability ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general ; bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Transportation is one of the most crucial aspects across the world, supporting the daily life of human beings and the sustainable development of the whole of society. Generally, meteorology causes various impacts on transportation operation, safety and efficiency. In the context of global warming, increasing numbers of extreme weather and climate events (such as fog, icy roads, and extreme winds) have been detected worldwide and are expected to occur more frequently in the future. Meanwhile, extreme events, such as dense fog, rainstorm, and blizzard, tend to damage transportation and traffic facilities (such as express ways, port, airport, and high-speed railway) and induce serious traffic blocks and accidents. In recent decades, concentrated and continuous efforts have been made to carry out meteorological analyses regardless of urban traffic or transportation conditions, including those of highways, shipping, aviation, etc. A number of methods and techniques have been intensively developed to promote the qualities of both observations and forecasts. More recently, state-of-the-art machine learning frameworks have also been widely introduced into studies regarding transportation meteorology and many other fields.
    Keywords: transportation meteorology ; pavement temperature prediction ; deep learning ; BiLSTM ; attention mechanisms ; winter icing ; air pollution ; traffic vitality ; built environment ; spatial correlation ; spatial lag model ; phone signaling data ; air quality ; behavioral habits ; activity density ; population distribution ; land use mix ; wind forecast ; error decomposition ; bias ; distribution ; sequence ; urban meteorology ; observation ; forecast ; early warning ; review ; China ; low-level wind shear ; ensemble learning classifiers ; Bayesian optimization ; SHapley Additive exPlanations ; wind shear ; go-around ; machine learning ; dynamic ensemble selection ; civil aviation safety ; pilot reports ; self-paced ensemble ; Shapley additive explanations ; climate change ; climatology ; sea ice ; marginal sea ; East Asia ; time-series modeling ; pavement temperature ; nowcasting ; variation characteristics ; forecast validation ; relative humidity ; microwave radiometer data ; total rainfall ; precipitation duration ; vertical distribution ; Beijing–Tianjin–Hebei region ; rail breakage ; frequency ; high-speed railway ; Siberian high ; teleconnection ; temperature ; Qinling mountains ; rainfall ; change characteristics ; geographical factors ; highways ; road blockage ; fuzzy analytic hierarchy process ; CRITIC weight assignment method ; road network vulnerability ; spatiotemporal distribution ; precipitation forecast ; ConvLSTM ; PredRNN ; expressway ; agglomerate fog ; risk level prediction of fog-related accidents ; meteorological conditions ; road hidden dangers ; traffic flow conditions ; visibility ; Yellow Sea and Bohai Sea ; observation data ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology. A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications. In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications. This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.
    Keywords: heterogeneous transformation ; SAR image ; optical image ; conditional generative adversarial nets (CGANs) ; self-supervised ; synthetic aperture radar (SAR) ; despeckling ; enhanced U-Net ; video synthetic aperture radar (Video-SAR) ; moving target tracking ; guided anchor Siamese network (GASN) ; interferometric synthetic aperture radar ; deep convolutional neural network ; phase unwrapping ; unsupervised change detection ; polarimetric synthetic aperture radar (PolSAR) ; UAVSAR ; multi-scale shallow block ; multi-scale residual block ; synthetic aperture radar ; image registration ; transformer ; deep learning ; SAR target detection ; multiscale learning ; ship detection ; SAR ship detection ; position-enhanced attention ; lightweight backbone ; image augmentation ; building extraction ; SAR ; semantic segmentation ; SAR dataset ; single-stage detector ; two-stage detector ; anchor free ; train from scratch ; oriented bounding box ; multi-scale detection ; computer vision ; low-grade road extraction ; remote sensing ; image segmentation ; optical images ; scene classification ; on-board ; lightweight self-supervised algorithm ; synthetic aperture radar (SAR) image ; arbitrary-oriented ship detection ; differentiable rotational IoU algorithm ; triangle distance IoU loss ; attention-weighted feature pyramid network ; multiple skip-scale connections ; attention-weighted feature fusion ; Rotated-SARShip dataset (RSSD) ; object classification ; radar image reconstruction ; convolutional neural networks ; ResNet18 ; GBSAR ; Omega-K algorithm ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Because of the increasing pressure on both food safety and packaging/food waste, the topic is important both for academics, applied research, industry and also for environment protection. Different materials, such as glass, metals, paper and paperboards, and non-degradable and degradable polymers, with versatile properties, are attractive for potential uses in food packaging. Food packaging is the largest area of application within the food sector. Only the nanotechnology-enabled products in the food sector account for ~50% of the market value, with and the annual growth rate is 11.65%. Technological developments are also of great interest. In the food sector, nanotechnology is involved in packaging materials with extremely high gas barriers, antimicrobial properties, and also in nanoencapsulants for the delivery of nutrients, flavors, or aromas, antimicrobial, and antioxidant compounds. Applications of materials, including nanomaterials in packaging and food safety, are in forms of: edible films, polymer nanocomposites, as high barrier packaging materials, nanocoatings, surface biocides, silver nanoparticles as potent antimicrobial agents, nutrition and neutraceuticals, active/bioactive packaging, intelligent packaging, nanosensors and nanomaterial-based assays for the detection of food relevant analytes (gasses, small organic molecules and food-borne pathogens) and bioplastics.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; alginate film ; antibacterial activity ; chitosan ; simulation ; vegetable oil ; degradation ; antibacterial ; montmorillonite nanoclay ; nanocomposites ; nanocoating ; smart nanomaterials ; tensile test ; fire ; rosehip seed oil ; biomaterials ; essential oil ; nanocoatings ; fused deposition modelling (FDM) ; antioxidant ; pectin film ; mechanical properties ; risk analysis ; personalized design ; powdered rosemary ethanolic extract ; barrier properties ; combustion ; cold-press oil ; polymer ; antimicrobial ; thiazolidine-4-one scaffold ; customization ; poly(lactic) acid ; graphene ; edible film ; carbon nanotubes ; electrospinning ; packaging design ; computer aid design (CAD) ; food packaging ; thermoforming ; reverse engineering ; technology ; product design ; risks ; polymeric systems ; bioactive food packaging ; poly(lactic acid) ; 3D printing ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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  • 73
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Trace gas sensing technologies are widely used in many applications, such as environmental monitoring, life science, medical diagnostics, and planetary exploration. On the one hand, laser sources have developed greatly due to the rapid development of laser media and laser techniques in recent years. Some novel lasers such as solid-state, diode, and quantum cascade lasers have experienced significant progress. At present, laser wavelengths can cover the range from ultraviolet to terahertz, which could promote the development of laser gas sensing technologies significantly. On the other hand, some new gas sensing methods have appeared, such as photothermal spectroscopy and photoacoustic spectroscopy. Laser spectroscopy-based gas sensing techniques have the advantages of high sensitivity, non-invasiveness, and allowing in situ, real-time observation. Due to the rapid and recent developments in laser source as well as the great merits of laser spectroscopy-based gas sensing techniques, this book aims to provide an updated overview of the state-of-the-art laser gas sensing technologies.
    Keywords: TA1-2040 ; T1-995 ; methane detection ; concentration prediction ; two-photon femtosecond laser-induced fluorescence ; n/a ; finite-element analysis ; wavelength modulation spectroscopy (WMS) ; quartz-enhanced photoacoustic spectroscopy ; real-time observation ; carbon dioxide monitoring ; filament-induced nonlinear spectroscopy ; thermal control ; femtosecond laser-induced plasma spectroscopy ; Tm ; MgO:PPLN crystal ; mid-infrared ICL ; combustion sensing ; algorithm ; laser absorption spectroscopy (LAS) ; mid-infrared fingerprint spectrum ; time division multiplexing differential modulation ; detection limit ; design optimization ; 13CO2/12CO2 isotope ratio detection ; femtosecond laser-induced breakdown spectroscopy ; coupling efficiency ; gas detection ; laser spectroscopy ; hollow-core photonic crystal fiber ; thermoelectric cooling ; TDLAS ; chicken swarm optimization ; frequency modulation spectroscopy ; absorption spectroscopy ; practical applications ; methane ; wavelength modulation spectroscopy ; continuous-wave (CW) ; tunable laser absorption spectroscopy ; noise reduction algorithms ; C2H2 detection ; a multi-reflection chamber ; tunable mid-infrared solid-state laser ; photothermal spectroscopy ; stokes vectors ; combustion diagnostic ; GRIN fiber probe ; wavelength modulation ; deep-sea natural gas hydrate exploration ; femtosecond laser electronic excitation tagging ; graphene saturable absorber ; femtosecond laser ; near-infrared ; all-fiber laser ; optical parametric oscillator ; mid-infrared ; gas sensing ; direct absorption spectroscopy (DAS) ; interferometric gas detection ; single-frequency ; non-linearity ; TDLAS technique ; interband cascade lasers ; optical parametric oscillator (OPO) ; quantum cascade lasers ; PQS ; support vector machine ; Ho:LuVO4 laser ; two-tone frequency modulation spectroscopy ; intracavity gas detection ; quartz tuning fork ; trace gas detection ; information processing technology ; optical sensing ; temperature compensation ; broadband spectrum ; tunable diode laser ; diffuse integrating cavity ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    Publication Date: 2024-04-11
    Description: heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.
    Keywords: TA1-2040 ; T1-995 ; TA170-171 ; geophysical monitoring ; data scarcity ; missing data ; climate extreme indices (CEIs) ; rule extraction ; Dataset Licensedatabase ; data assimilation ; data imputation ; support vector machines ; environmental observations ; multi-class classification ; earth-science data ; remote sensing ; magnetotelluric monitoring ; soil texture calculator ; machine learning ; ClimPACT ; invasive species ; species distribution modeling ; 3D-Var ; ensemble learning ; data quality ; water quality ; microhabitat ; k-Nearest Neighbors ; Expert Team on Climate Change Detection and Indices (ETCCDI) ; decision trees ; processing ; attribute reduction ; Expert Team on Sector-specific Climate Indices (ET-SCI) ; core attribute ; rough set theory ; GLDAS ; arthropod vector ; environmental modeling ; statistical methods ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book is the result of a Special Issue published in Applied Sciences, entitled “New Trends in Recycled Aggregate Concrete"". It identifies emerging research areas within the field of recycled aggregate concrete and contributes to the increased use of this eco-efficient material.Its contents are organised in the following sections: Upscaling the use of recycled aggregate concrete in structural design; Large scale applications of recycled aggregate concrete; Long-term behaviour of recycled aggregate concrete; Performance of recycled aggregate concrete in very aggressive environments; Reliability of recycled aggregate concrete structures; Life cycle assessment of recycled aggregate concrete; New applications of recycled aggregate concrete.
    Keywords: TA1-2040 ; T1-995 ; crushing ; heavyweight waste glass ; n/a ; recycled aggregate quality ; seismic load ; microstructure ; construction waste ; permeability ; bond strength ; seismic performance ; aggregate interlock mechanism ; recycled concrete aggregates ; compressive strength ; crumb rubber ; cellular concrete ; model ; cyclic load ; recycled aggregate ; crushed glass ; models ; recycled aggregate concrete ; reactive power concrete ; recycled aggregate concrete (RAC) ; energy absorbing ; creep ; elevated temperature ; fiber-reinforced concrete ; size effect ; recycled concrete aggregate ; geological nature of aggregates ; mechanical properties ; recycled concrete ; artificial neural networks ; recycled aggregates ; steel fibre ; quality of aggregates ; aggregates ; foam stability ; ceramic foam ; durable characteristics ; nylon fiber ; concrete ; mechanical characteristics ; strain rate ; steel reinforced recycled aggregate concrete (SRRAC) ; dynamic mechanical property ; concrete sludge fines ; water absorption ; columns ; environmental impact ; blast-furnace slag ; input variable ; tensile splitting strength ; aggregate ; returned concrete ; reinforced concrete member ; variable sensitivity ; soil stabilization ; numerical analysis ; shear behavior ; fly-ash ; modulus ; life cycle assessment ; foam structure ; silica fume ; recycling ; recycled coarse aggregate concrete ; ready-mixed concrete ; foam concrete ; flexural behavior ; mixture proportioning ; aggregate characteristic ; residual properties ; CT ; reinforced concrete ; shrinkage ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This Special Issue of Processes operates on the basis of a rigorous peer-review with a single-blind assessment and at least two independent reviewers, thereby ensuring a high quality final product. I would like to thank our reviewers, for providing the authors with constructive comments, and Editorial Board, for their professional advice that led to the final decision. I am sure that, in coming years, readers of this Special Issue will find the scientific manuscripts interesting and beneficial to their research.
    Keywords: TA1-2040 ; T1-995 ; three-dimensional temperature field ; n/a ; forced convection ; RNG k-? model ; PIV measurements ; water friction loss ; flat plate ; horizontal ; optimization ; casson fluid ; finned tube ; plate-fin heat sink ; computational fluid dynamics (CFD) ; plate heat exchanger ; partial heating ; thermo-diffusion ; HEN synthesis ; Keller-Box technique ; visualization experiment ; ice-cream ; modelling ; computational intelligence techniques ; canned motor ; boiling ; heat transfer ; operating condition ; vertical ; phase change ; flow distribution characteristics ; scraped surface heat exchanger ; heat flux ; numerical simulation ; aspect ratio ; orientation ; axisymmetric flow ; CACRS ; natural convection ; MINLP ; multi-slip ; ice storage ; viscosity ; axial piston pump ; crystallization ; multiphase flow ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-07-14
    Description: Advancements in medical imaging modalities have resulted in increasing the importance and demand of pediatric radiology. This reprint showcases various examples of advanced research in pediatric radiology and nuclear medicine. These include the use of medical imaging modalities such as computed tomography, general radiography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and ultrasound for diagnosis, as well as the performance of artificial intelligence (AI) in computer-aided detection and diagnosis in the pediatric population. The radiation dose issue of pediatric radiological examinations and emerging AI technology for dose reduction, as well as the use of three-dimensional printing based on medical images for pediatric surgical planning, healthcare professional education, and patient–clinician communication are also covered.
    Keywords: as low as reasonably achievable ; computed tomography ; convolutional neural network ; deep learning ; dose reduction ; generative adversarial network ; image processing ; machine learning ; medical imaging ; noise ; contrast-enhanced ultrasound ; head ultrasound ; brain death ; infants ; ancillary test ; child ; paediatric ; infant ; adolescent ; chest X-ray ; CXR ; chest radiography ; COVID-19 ; SARS-CoV-2 ; coronavirus ; biliary atresia ; ultrasonography ; diagnostic accuracy ; intraoperative cholangiography (IOC) ; diagnostic performance ; elastography ; three-dimensional printing ; congenital heart disease ; children ; model ; personalized medicine ; application ; confusion matrix ; disease identification ; image interpretation ; pneumonia ; artificial intelligence (AI) ; deep learning (DL) ; paediatric pneumonia ; chest radiograph ; computer-aided detection (CAD) ; cumulative ; radiation dose ; acute tonsillitis ; shear wave elastography ; stiffness ; pediatric ; magnetic resonance imaging ; infection ; neck ; emergency medicine ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MM Other branches of medicine::MMG Pharmacology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
    Keywords: tropical cyclone detection ; meteorological satellite images ; deep learning ; deep transfer learning ; generative adversarial networks ; image target detection ; multiple scales ; any angle object ; remote sensing of small objects ; point clouds ; 3D tracking ; state estimation ; Siamese network ; deep LK ; convolutional neural networks (CNNs) ; multilayer feature aggregation ; attention mechanism ; remote sensing image scene classification (RSISC) ; hyperspectral image classification ; variational autoencoder ; generative adversarial network ; crossed spatial and spectral interactions ; crater detection algorithm (CDA) ; R-FCN ; self-calibrated convolution ; split attention mechanism ; transfer learning ; remote sensing ; oriented object detection ; rotated inscribed ellipse ; remote sensing images ; keypoint-based detection ; gated aggregation ; eccentricity-wise ; object detection ; remote sensing image ; anchor free ; oriented bounding boxes ; deformable convolution ; three-dimensional radar imaging ; convolution neural network ; super-resolution ; side-lobe suppression ; terahertz radar ; aerial image generation ; satellite image generation ; structure map ; style vector ; high resolution image ; self-constructing graph ; semantic segmentation ; GAN ; image generation ; data augmentation ; remote sensing disaster image ; convolutional neural network ; double-stream structure ; feedback ; encoder–decoder network ; dense connections ; instance segmentation ; Swin transformer ; cascade mask R-CNN ; remote sensing image retrieval ; hashing algorithm ; binary code ; triplet ordinal relation preserving ; cross entropy ; feature distillation ; forest fire ; smoke segmentation ; Smoke-Unet ; residual block ; Landsat-8 ; band sensibility ; unsupervised domain adaptation ; bidirectional domain adaptation ; image-to-image translation ; generative adversarial networks (GANs) ; U-Net ; high-density laser scanning ; logging trails ; digital surface model ; canopy height model ; commercial thinning ; convolutional neural networks ; multiview ; satellite and UAV image ; joint description ; image matching ; neural network ; contextual information ; Anchor Free Region Proposal Network ; polar representation ; 3D object detection ; point cloud ; sampling ; single-stage ; rotated object detection ; angle-based detector ; angle-free framework ; rotated region of interests (RRoIs) ; representative points ; plastic ; UAVs ; contrastive learning ; mutual guidance ; spatial misalignment ; vehicle detection ; ANN ; automatic classification ; risk mitigation ; machine learning ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
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  • 79
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-02-02
    Description: The 10th International Conference on Modern Circuit and System Technologies on Electronics and Communications (MOCAST 2021) will take place in Thessaloniki, Greece, from July 5th to July 7th, 2021. The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue presents extended versions of top-ranking papers in the conference. The topics of MOCAST include:Analog/RF and mixed signal circuits;Digital circuits and systems design;Nonlinear circuits and systems;Device and circuit modeling;High-performance embedded systems;Systems and applications;Sensors and systems;Machine learning and AI applications;Communication; Network systems;Power management;Imagers, MEMS, medical, and displays;Radiation front ends (nuclear and space application);Education in circuits, systems, and communications.
    Keywords: incremental power and timing optimization ; Lagrangian relaxation ; gate sizing ; multimode multicorner ; physical optimization ; two-qubit states ; quantum computers ; quantum gates ; Rabi oscillations ; single qubit quantum computer ; quantum operations simulation ; vision transformers ; computer vision ; deep learning ; artistic style recognition ; memristor model ; tantalum oxide ; memory crossbar ; nonlinear dopant drift ; window function ; LTSPICE library memristor model ; stochastic computing ; stochastic filtering ; stochastic FIR filter ; unconventional computing ; electrical masking ; interconnection delay ; Single Event Multiple Transients ; Soft Error Rate ; STA ; TCAD ; timing-masking ; transient faults ; IoT ; wireless sensor networks ; hydroponics ; smart agriculture ; Network-on-Chip ; bufferless routing ; 3D NoC ; Markov chains ; visible light communication (VLC) ; wireless communication ; analog front end (AFE) ; pre-amplification ; classification ; COVID-19 ; lightweight neural network ; medical imaging ; chest X-rays ; image sensors ; 3D pixels ; 3D sequential integration ; 3DSI ; monolithic 3D ; M3D ; coupling ; parasitic capacitances ; memristor ; emulator ; analog design ; switched capacitor ; mixed signal ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-06-21
    Description: For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.
    Keywords: CIELab ; component Substitution ; Pan sharpening ; Pléiades VHR Image ; coal ; inertinite macerals ; classification ; multifractal analysis ; support vector machine ; block-based coding ; video coding ; H.265/HEVC ; affine motion compensation ; image registration ; homography matrix ; local homography transformation ; convolutional neural network ; moving direct linear transformation ; super-resolution (SR) ; convolution neural network (CNN) ; Gene Expression Programming (GEP) ; deep learning ; image preclassification ; suspicious behavior detection ; motion ; magnitude ; gradient ; reactivity ; saliency ; haze removal ; dark channel ; atmospheric-light estimation ; coarse-to-fine search strategy ; sparse dictionary ; stable recovery ; frame ; RIP ; local dimming ; retinex theory ; bi-histogram equalization ; contrast ratio ; details preservation ; pansharpening ; image fusion ; image quality ; Satellite Pour l’Observation de la Terre (SPOT) 6 ; spectral consistency ; spatial consistency ; synthesis ; artificial intelligence ; dental application ; images ; detection ; parseval frame ; transform ; sparse representation ; octave convolution ; bilingual scene text reading ; Ethiopic script ; attention ; nasal cytology ; automatic cell segmentation ; rhinology ; image analysis ; feature extraction ; shape context ; plant recognition ; DPCNN ; BOF ; numeral spotting ; historical document analysis ; convolutional neural networks ; deep transfer learning ; handwritten digit recognition ; spectrum correction ; intensity correction ; compressed sensing ; tradeoff process ; IKONOS ; remote sensing ; fine-tuning ; learning rate scheduler ; cyclical learning rates ; label smoothing ; classification accuracy ; neural networks ; salient object detection ; RGB-D ; object detection ; small object ; multi-scale sampling ; balanced sampling ; texture ; structure ; optical ; coke ; iron ore ; sinter ; image processing ; segmentation ; identification ; action recognition ; silhouette sequences ; shape features ; ambient assisted living ; active ageing ; n/a ; bic Book Industry Communication::K Economics, finance, business & management::KN Industry & industrial studies::KNT Media, information & communication industries::KNTX Information technology industries ; bic Book Industry Communication::U Computing & information technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Due to the ever-expanding applications of micro/nano-electromechanical systems (NEMS/MEMS) as sensors and actuators, interest in their development has rapidly expanded over the past decade. Encompassing various excitation and readout schemes, the MEMS/NEMS devices transduce physical parameter changes, such as temperature, mass or stress, caused by changes in desired measurands, to electrical signals that can be further processed. Some common examples of NEMS/MEMS sensors include pressure sensors, accelerometers, magnetic field sensors, microphones, radiation sensors, and particulate matter sensors. Despite a long history of development, fabrication of novel MEMS/NEMS devices still poses unique challenges due to their requirement for a suspended geometry; and many new fabrication techniques have been proposed to overcome these challenges. However, further development of these techniques is still necessary, as newer materials such as compound semiconductors, and 2-dimensional materials are finding their way in various MEMS/NEMS applications, with more complex structures and potentially smaller dimensions.
    Keywords: TA1-2040 ; T1-995 ; vibrating ring gyroscope ; n/a ; tunnel magnetoresistive effect ; optical sensor ; micro-NIR spectrometer ; pulse inertia force ; gas sensor ; wet etching ; oil detection ; glass welding ; spring design ; power consumption ; MEMS (micro-electro-mechanical system) ; back cavity ; deflection position detector ; magnetic ; MEMS ; single-layer SiO2 ; frequency tuning ; threshold accuracy ; suspended micro hotplate ; AlGaN/GaN circular HFETs ; quadrature modulation signal ; inertial switch ; nanoparticle sensor ; low noise ; photonic crystal nanobeam cavity ; floating slug ; infrared image ; backstepping approach ; microdroplet ; acceleration switch ; microgyroscope ; temperature uniformity ; methane ; microfluidic ; accelerometer design ; photonic crystal cavity ; anisotropy ; resonant frequency ; dual-mass MEMS gyroscope ; analytical model ; single crystal silicon ; temperature sensor ; micro fluidic ; refractive index sensor ; microwave measurement ; low zero-g offset ; femtosecond laser ; micropellistor ; rapid fabrication ; accelerometer ; tracking performance ; GaN diaphragm ; microactuator ; resistance parameter ; optomechanical sensor ; scanning grating mirror ; GaAs MMIC ; adaptive control ; frequency split ; frequency mismatch ; electrostatic force feedback ; thermoelectric power sensor ; squeeze-film damping ; silicon ; wideband ; Accelerometer readout ; bonding strength ; high temperature pressure sensors ; 3D simulation ; level-set method ; tetramethylammonium hydroxide (TMAH) ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-05-06
    Description: In the past few years, knowledge about glaucoma diagnosis and follow up has evolved dramatically through advances in intraocular pressure (IOP) measurement, corneal biomechanics, structural and functional assessment of the ocular surface, anterior chamber, retina, optic nerve and intracranial visual pathways, as well as the advent of artificial intelligence. In addition, the development of new modalities of IOP-lowering and non-IOP-lowering drugs, alternative deliveries, refined laser technologies, and minimally invasive glaucoma surgery (MIGS) techniques with different implants have widened the therapeutic possibilities for treating this disease. Finally, current insights into risk factors and quality of life in relation to glaucomatous impairment are emerging. The purpose of this Special Issue is to present the latest exciting clinical developments that are taking place in the field of glaucoma.
    Keywords: ripasudil ; suture trabeculotomy ab interno ; Schlemm’s canal incision ; aqueous outflow ; open-angle glaucoma ; glaucoma ; inflammation ; oxidative stress ; phenotype ; polymorphism ; susceptibility ; intraocular pressure ; ocular inflammation ; cornea biomechanics ; Corvis® ST ; subclinical keratoconus ; ocular hypertension ; tears ; miRNAs ; next generation sequencing ; biomarkers ; genes ; signaling pathways ; apoptosis ; neurodegeneration ; glaucoma suspect ; lamina cribrosa ; optical coherence tomography angiography ; peripapillary vessel density ; OCTA ; vessel density ; disc ; peripapillary ; NTG ; BRVO ; corneal hysteresis ; corneal biomechanics ; ocular biomarkers ; deep learning ; perimetry ; optic nerve ; obesity ; risk factor ; young adults ; multifocal visual evoked potentials ; mfVEP ; physical exercise ; sport ; acrobatic gymnastics ; baseline intraocular pressure ; central corneal thickness ; ocular health ; tumbling skills ; hand balance ; cytokines ; BDNF ; VEGF ; fractalkine ; microglia ; saffron ; crocin ; retinal glial cells ; microperimetry ; OCT ; macula ; structure ; function ; correlation ; retina ; inner ; outer ; macular segmentation ; optical coherence tomography-angiography ; vascular density ; blood flow ; biomarker ; myopia ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This selection is focused on coatings and films with applications in optoelectronics, such as photovoltaics, photocatalysis, and light-based sensors and phenomena. The studies investigate the optimal composition, crystalline structure, and morphology to deliver the different functionalities sought. Obtaining transparent p-type electrodes is challenging but extremely relevant in optoelectronics. Electric conduction mechanisms and the correlations with structure and doping are discussed. The important issue of the degradation pathways in perovskite-based solar cells and the possibilities offered by different types of coatings to encapsulate the devices as well as the beneficial effect of silica coating as an antireflection and antisoiling layer on well-established solar cells are discussed. New designs of nanoplasmonic films for chemical and biological molecule sensing are reviewed, such as the combination of metallic nanoparticles and nanostructured semiconductors and dispersing metallic or bi-metallic nanoparticles in CuO films. The impacts of structure, defects, and morphology on the photoactivated properties of WO3 films and on the shape memory behavior in Cu–Al–Ni thin films are discussed. Aggregated TiO2 nanoparticles on TiO2 layers are shown to enhance optical transmittance and confer a superhydrophilic characteristic. Finally, aspects of the fundamental characterization of thin films, Drude damping in thin films, and laser-induced deflection technique are discussed.
    Keywords: TA1-2040 ; T1-995 ; films ; coatings ; light-based sensors ; photocatalysis ; optoelectronics ; phenomena ; photovoltaics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: This Special Issue on advanced sensor technologies contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed. In addition to advances in methodology, applications in healthcare, mining tunnels, cleaning, warehouses and other areas are mentioned.
    Keywords: UAVs ; inspection and maintenance ; mobile robots ; insulators ; artificial intelligence ; mobile cleaning robot ; vibration source classification ; predictive maintenance ; deep learning ; 1D CNN ; defect detection ; Faster R-CNN ; object detection ; IoRT ; inspection robot ; navigation ; model predictive control ; path planing ; warehouse automation ; underground mining robots ; scan matching ; localization and SLAM in tunnels ; 2D lidar navigation ; GPS-denied environment ; robot navigation ; path planning ; potential field ; bilinear interpolation ; dynamic local re-planning ; domestic dirt ; dirt dataset ; audit robot ; cleaning benchmark ; dirt classification ; robot-aided cleaning auditing ; geometrical feature ; cleaning auditing ; swarm algorithms ; motion trajectory prediction ; kinematical models ; gait biomechanics ; spherical robot ; model ; simulation ; CoppeliaSim (V-REP) ; visual servoing ; autonomous landing ; monocular vision ; aerial robotics ; localization and SLAM ; 3D lidar ; range sensing ; Uniform Second-Order Sliding Mode Observer ; Prescribed Performance Control ; robot manipulators ; finite-time Stability ; feature detection ; light-weight mapping ; B-splines ; localization ; mobile robot ; complete coverage ; path smoothing ; velocity profile optimization ; humanoid robot ; state estimation ; motion capture ; Whole-Body Control ; ADHD ; screening ; skeleton ; position estimation ; indoor positioning ; sensor fusion ; RSSI ; magnetometer ; fingerprint ; wheeled mobile robots ; trajectory generation ; velocity profile ; trajectory optimization ; Bézier curves ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring.
    Keywords: CNC parameters ; machining mode ; high speed ; high accuracy ; high surface quality ; five-axis linear-segment toolpath ; path smoothing ; B-spline curve-fitting ; path synchronization ; feedrate scheduling ; flute-grinding ; evolution algorithms ; wheel location and orientation ; thin-floor machining ; chatter ; magnetorheological damper ; bull-nose end mill ; tool wear monitoring ; milling ; complex part ; deep learning ; autoencoder ; deep multi-layer perceptron ; tool condition monitoring ; tool change policy ; Industry 4.0 ; machine learning ; CNN ; AI ; additive manufacturing ; thin walled machining ; dynamics ; machining cycle optimization ; multivariable tool ; stable peninsula ; homotopy perturbation method ; machining robot ; natural frequency prediction ; model optimization ; dynamic performance ; stability ; machining ; grinding ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
    Keywords: TA1-2040 ; T1-995 ; model predictive control ; bulbous bow ; improvement differential evolution algorithm ; evolutionary multi-objective optimization ; location routing problem ; flexible job shop scheduling problem ; basic differential evolution algorithm ; metric measure spaces ; NEAT ; genetic algorithm ; multiobjective optimization ; improved differential evolution algorithm ; performance indicator ; rubber ; averaged Hausdorff distance ; mixture experiments ; U-shaped assembly line balancing ; Genetic Programming ; Local Search ; driving events ; surrogate-based optimization ; single component constraints ; crop planning ; Pareto front ; numerical simulations ; shape morphing ; genetic programming ; economic crops ; local search and jump search ; model order reduction ; optimal solutions ; EvoSpace ; risky driving ; intelligent transportation systems ; optimal control ; IV-optimality criterion ; Bloat ; decision space diversity ; modify differential evolution algorithm ; power means ; driving scoring functions ; open-source framework ; evolutionary computation ; differential evolution algorithm ; vehicle routing problem ; multi-objective optimization ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: The reliability of high-voltage equipment is critical to the safe operation of the power grid. This reprint focuses on the new developments and advances in both fundamental and applied research on the testing, monitoring, and diagnostics of high-voltage equipment, including insulators, transformers, etc.
    Keywords: HV bushing ; dielectric response ; paper–oil insulation ; temperature distribution ; distribution transformers ; failure analysis ; monitoring ; diagnostic method ; frequency response ; open and short-circuit response ; hydro-generators ; partial discharges ; PD Spectral Pulse Counting Map (PD-SPCM) ; microstrip antenna ; UHF method ; Frequency Resolved Partial Discharges (FRPD) ; AC breakdown characteristics ; arresters ; lightning protection insulator ; electric field calculation ; icing conditions ; cable insulation ; contact surface ; dielectric breakdown ; electrical breakdown ; polymeric insulation ; solid–solid interface ; surface roughness ; insulator ; deicing ; hot water jet ; numerical calculation ; temperature spatial distribution ; pollution insulators ; nonsoluble deposit density ; flashover characteristics ; arc parameters ; high voltage apparatus ; deep learning ; classification ; localization ; partial discharge ; faults ; outdoor insulators ; railway electrification system ; outdoor porcelain insulators ; low-frequency flashover AC voltage ; lightning impulse critical-flashover voltage ; icing ; anti-icing ; de-icing transmission lines ; ice-melting ; icing disaster ; diameter-expanded conductor ; current transferred ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The integration of information technologies with industry has marked the beginning of the fourth industrial revolution and promoted the development of industrial engineering. However, the depletion of resources and industrial waste caused by increasing amounts of industrial production pose a huge threat to nature. The application of sustainable supply chains in industrial engineering and management is one of the ways to balance the economy, society and environment. Therefore, it is a key concern for us to explore the construction of sustainable supply chains in industrial engineering and management. Moreover, to understand the impact of low-carbon, sustainable and recycled supply chains on industrial engineering, we need more in-depth investigations.This Special Issue aims to solicit original research and review articles discussing sustainable supply chain decision-making in industrial engineering and management to improve the sustainability of enterprise operations. Moreover, this Special Issue also shows mixed methods (e.g., modeling plus a case study) and rigorous quantitative/qualitative empirical studies of sustainable supply chains.
    Keywords: coordination degree model ; logistics industry ; digital economy ; industrial integration ; regional IEE system ; multimodel decision ; coupling coordination ; decision support methods ; online retailer ; consumer purchase behavior ; return strategy ; return insurance ; supply chain management ; real-time ; home delivery ; business modeling ; e-commerce ; time window ; lightweight ; carbon emissions ; low carbon benefits ; optimization design ; wheel hub ; subsidy policy ; remanufacturing industry ; donation strategy ; prisoner’s dilemma ; water-efficient products ; quality improvement ; DMAIC ; smart water closets ; carbon abatement ; cost sharing ; capital constraint ; environmental externality ; innovative products ; remanufacturing ; differential game ; bass model ; strategic emerging industries ; industrial structure ; employment effect ; artificial intelligence hardware ; data classification ; deep learning ; emission control ; industrial manufacturing ; bilateral matching decision making ; interval-valued hesitant fuzzy information ; bidirectional projection technology ; organizational quality-specific immunity ; automotive supply chain disruption ; supply chain resilience ; disruption risk ; bibliometric analysis ; co-citation analysis ; NGU ; self-attention ; CNN ; silver prediction ; data-driven ; composite systems ; synergy ; sustainability ; blockchain ; collection channel ; recycling strategies ; uncertain demand ; game theory ; federated learning ; intelligent manufacturing ; sustainable energy ; low-carbon strategy ; livestreaming marketing mode ; consumer low-carbon preference ; level of low-carbon promotion effort ; power structures ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The use of lightweight structures across several industries has become inevitable in today’s world given the ever-rising demand for improved fuel economy and resource efficiency. In the automotive industry, composites, reinforced plastics, and lightweight materials, such as aluminum and magnesium are being adopted by many OEMs at increasing rates to reduce vehicle mass and develop efficient new lightweight designs. Automotive weight reduction with high-strength steel is also witnessing major ongoing efforts to design novel damage-controlled forming processes for a new generation of efficient, lightweight steel components. Although great progress has been made over the past decades in understanding the thermomechanical behavior of these materials, their extensive use as lightweight solutions is still limited due to numerous challenges that play a key role in cost competitiveness. Hence, significant research efforts are still required to fully understand the anisotropic material behavior, failure mechanisms, and, most importantly, the interplay between industrial processing, microstructure development, and the resulting properties. This Special Issue reprint book features concise reports on the current status in the field. The topics discussed herein include areas of manufacturing and processing technologies of materials for lightweight applications, innovative microstructure and process design concepts, and advanced characterization techniques combined with modeling of material’s behavior.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; n/a ; microstructure ; Mg-Al-Ba-Ca alloy ; strength ; severe plastic deformation ; hot working ; surface roughness ; high pressure torsion extrusion ; optimization ; fatigue fracture behavior ; magnesium alloys ; de-coring ; formability ; multilayered sheets ; HPDC ; spring-back ; contact heat transfer ; mechanical properties ; bending ; in-die quenching ; equivalent strain ; light metals ; processing ; heat transfer ; damage ; creep aging ; thin-walled profile ; rolling ; aluminum alloy ; transmission line fittings ; ceramic core ; processing map ; automated void recognition ; FEA ; multi-output porthole extrusion ; density ; kinetic analysis ; texture ; non-ferrous alloys ; material characterization ; stress superposition ; hot stamping ; metal flow ; hybrid composite material ; V-bending test ; finite element model ; aluminium alloy ; shear lap test ; Al-Cu-Mg alloy ; characterization ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-28
    Description: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.
    Keywords: forest structure change ; EBLUP ; small area estimation ; multitemporal LiDAR and stand-level estimates ; forest cover ; Sentinel-1 ; Sentinel-2 ; data fusion ; machine-learning ; Germany ; South Africa ; temperate forest ; savanna ; classification ; Sentinel 2 ; land use land cover ; improved k-NN ; logistic regression ; random forest ; support vector machine ; statistical estimator ; IPCC good practice guidelines ; activity data ; emissions factor ; removals factor ; Picea crassifolia Kom ; compatible equation ; nonlinear seemingly unrelated regression ; error-in-variable modeling ; leave-one-out cross-validation ; digital surface model ; digital terrain model ; canopy height model ; constrained neighbor interpolation ; ordinary neighbor interpolation ; point cloud density ; stereo imagery ; remotely sensed LAI ; field measured LAI ; validation ; magnitude ; uncertainty ; temporal dynamics ; state space models ; forest disturbance mapping ; near real-time monitoring ; CUSUM ; NRT monitoring ; deforestation ; degradation ; tropical forest ; tropical peat ; forest type ; deep learning ; FCN8s ; CRFasRNN ; GF2 ; dual-FCN8s ; random forests ; error propagation ; bootstrapping ; Landsat ; LiDAR ; La Rioja ; forest area change ; data assessment ; uncertainty evaluation ; inconsistency ; forest monitoring ; drought ; time series satellite data ; Bowen ratio ; carbon flux ; boreal forest ; windstorm damage ; synthetic aperture radar ; C-band ; genetic algorithm ; multinomial logistic regression ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Smart textiles are the textiles that are sensitive to any environmental conditions and can respond accordingly. Using passive and active coatings to generate high sensitivity to textiles is among the most recent research trends by engineers around the World. This has resulted in expansion in the application of smart textiles in various industrial fields including medicals, electronics and protective clothing. The aim of this special issue is to introduce the most state-of-the-art research and review articles by distinguished researchers in the field of smart coatings on textiles. The guest editor hopes that content will be useful for researchers, students and companies for continuation of research and development with the concept of smart textiles.
    Keywords: TA1-2040 ; T1-995 ; TA401-492 ; chitosan ; pilling ; cyclodextrin ; polypropylene ; actuator ; UHMWPE ; hydrophobic ; separation ; reactive vapor deposition ; e-textiles ; image processing ; fiber ; conducting polymers ; conductive coatings ; dip coating technique ; textile ; triboelectricity ; smart textiles ; hernia meshes ; microgel ; optical fiber sensors ; polymer ; nanoparticle-laden elastomer ; touch sensor ; textile electronics ; structural color ; PLA fiber ; wearable technology ; carbon nanotubes ; electrospinning ; assembly ; photonic crystal ; electrospun nanofibers ; plasma treatment ; coating ; nanoparticle assemblies ; sodium alginate ; flexible electronics ; Janus material ; machine learning ; polymer actuators ; oxygen-plasma treatment ; polydopamine ; plain weave ; absorbant ; surface functionalization ; penetration resistance ; lab-on-fiber technology ; layer-by-layer method ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments, in addition to traditional structured environments. Robots have, thus, become an important element in our everyday lives. One key approach to develop such intelligent and autonomous robots is to draw inspiration from biological systems. Biological structure, mechanisms, and underlying principles have the potential to provide new ideas to support the improvement of conventional robotic designs and control. Such biological principles usually originate from animal or even plant models, for robots, which can sense, think, walk, swim, crawl, jump or even fly. Thus, it is believed that these bio-inspired methods are becoming increasingly important in the face of complex applications. Bio-inspired robotics is leading to the study of innovative structures and computing with sensory–motor coordination and learning to achieve intelligence, flexibility, stability, and adaptation for emergent robotic applications, such as manipulation, learning, and control. This Special Issue invites original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications and business models relevant to the selected topics of ``Bio-Inspired Robotics''. Bio-Inspired Robotics is a broad topic and an ongoing expanding field. This Special Issue collates 30 papers that address some of the important challenges and opportunities in this broad and expanding field.
    Keywords: TA1-2040 ; T1-995 ; Robots and Mechatronics ; Bio-inspired Robots ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-03-07
    Description: Non-destructive testing and evaluation are commonly referred to as the vast group of analysis techniques used in civil, medical, and industrial sectors to evaluate the properties of materials, tissues, components, or structures, without causing any damage. Automation offers many benefits for non-destructive testing to cope with increasing demands, including improved reliability and higher inspection speeds. Additionally, robots enable inspections in locations that are not easily accessible to human operators and allow for humans to be removed from potentially dangerous environments. However, the perceived complexity and high costs have limited the adoption of automation. As a result, the full potential that could be derived from the seamless integration of robotic platforms with sensors, actuators, and software has not been fully explored; it could still revolutionise the way that automated inspections are performed and conceived. The recent advancements in electronics, robotics, sensor technology and software pave the way for new developments in automated testing and data-driven autonomous robotic inspections in several sectors. This Special Issue aimed to attract the latest research outcomes in the field of robotic sensing. Five papers relate to inspection systems based on robotic fixed-base manipulators, three of which are associated with in-process inspection in manufacturing applications (robotic wire-arc welding and additive manufacturing). Four papers report research advancements in mobile robotic-enabled sensing.
    Keywords: wall-climbing robot ; passive adaptive mechanism ; magnetic circuit optimization ; flexible detection method ; welding robot ; seam tracking ; laser sensor ; feature point extracting ; complex welding seam ; UAVs ; inspection ; soft robotics ; non-destructive evaluation ; robotic NDE ; robotic welding ; robotic control ; in-process NDE ; ultrasonic NDE ; ultrasound ; image motion analysis ; image processing ; optical flow ; underwater robotic ; NDT ; free-form surface profiling ; autonomous robotic systems ; in-process robotic NDE ; Wire + Arc Additive Manufacture (WAAM) ; ultrasound testing ; total focusing method ; defect recognition ; aircraft inspection ; deep learning ; CNN ; UAV ; defect classification ; AI ; underwater vehicle–manipulator system ; robotics emulator ; contact management ; remote inspection ; force control ; automated eddy current testing ; eddy current arrays ; robotics ; thermography ; non-destructive testing ; image alignment ; image blending ; n/a ; bic Book Industry Communication::M Medicine
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The development of a closed-loop cycle is a necessary condition so as to develop a circular economy model as an alternative to the linear model, in order to maintain the value of products and materials for as long as possible. For this motive, the definition of the value must be demonstrated for both the environment and the economy. The presence of these analyses should be associated with the social dimension and the human component. A strong cooperation between social and technical profiles is a new challenge for all researchers. End of life of products attract a lot of attention, and the final output could be the production of technologies suitable for managing this waste.
    Keywords: TA1-2040 ; T1-995 ; education ; NUTS3 regions ; eco-design ; renewable energy ; circular business models (CBMs) ; quantitative analysis ; economic analysis ; digital transformation of education ; branches ; sustainability ; sustainable development ; environmental assessment ; open online education ; circular economy ; prediction ; Italy ; Italian ceramic industry ; tourism industry ; complexity ; economic growth ; professions ; Industry 4.0 ; digitalization ; unsupervised classification ; open educational resources ; multi-level perspective ; industrial district (ID) ; cluster analysis ; retailing ; waste management ; MOOCs ; mixed data ; massive open online courses ; phygitalization ; circular economy (CE) ; photovoltaic ; circular commerce ; employment ; technology ; SWOT ; multiple value ; Czech Republic ; commercial cycle ; CO2 emissions ; European Union ; social sciences ; subsidies ; Health and Social Care ; industrial symbiosis ; territory ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 95
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This edited book presents new results in the area of the development of exact and heuristic scheduling algorithms. It contains eight articles accepted for publication for a Special Issue in the journal Algorithms. The book presents new algorithms, e.g., for flow shop, job shop, and parallel machine scheduling problems. The particular articles address subjects such as a heuristic for the routing and scheduling problem with time windows, applied to the automotive industry in Mexico, a heuristic for the blocking job shop problem with tardiness minimization based on new neighborhood structures, fast heuristics for the Euclidean traveling salesman problem or a new mathematical model for the period-aggregated resource leveling problem with variable job duration, and several others.
    Keywords: TA1-2040 ; T1-995 ; repairing scheme ; makespan ; complexity ; uniform parallel machine problems ; flow shop ; uniform parallel machines ; total tardiness ; permutations ; uncertainty ; shop floor performance ; heuristic algorithm ; s-precedence constraints ; heuristics ; time windows ; auto-carrier transportation problem (ACTP) ; blocking ; computational experiment ; scheduling ; manufacturing ; optimal algorithm ; precedence constraints ; flowshop ; flow-shop ; flow shop problem ; simulated annealing ; traveling salesman problem ; resource leveling ; makespan criterion ; project scheduling ; uncertain duration ; time complexity ; heuristic ; quadratic programming ; feasible loading ; exact algorithms ; resource leveling problem ; job shop problem ; unavailability constraints ; job shop ; job-shop ; job shop scheduling ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 96
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-07-06
    Description: This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.
    Keywords: computational intelligence ; medical assistance ; instance-based learning ; healthcare ; clinical decision support systems ; deep neural networks ; medical imaging ; backdoor attacks ; security and privacy ; COVID-19 ; gastric cancer ; endoscopy ; deep learning ; convolutional neural network ; brain ; pituitary adenoma ; dysembryoplastic neuroepithelial tumor ; DNET ; ganglioglioma ; digital pathology ; computer vision ; machine learning ; CNN ; ATLAS ; HarDNet ; Swin transformer ; segmentation ; U-Net ; cerebral infarction ; CycleGAN ; advanced statistics ; schizophrenia ; aggression ; forensic psychiatry ; medical image segmentation ; CT image segmentation ; kernel density ; semi-automated labeling tool ; Bayesian learning ; neuroimaging ; feature selection ; kernel formulation ; mental disorders ; MRI ; visual acuity ; fundus images ; ophthalmology ; SVM ; n/a ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
    Language: English
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  • 97
    Publication Date: 2024-04-11
    Description: Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.
    Keywords: TA1-2040 ; T55.4-60.8 ; T1-995 ; localization ; smart system ; n/a ; connected enterprise ; digital manufacturing ; AHP ; YOLOv3 ; decision support ; neural network ; vertex distance ; depthwise separable convolution ; cutting insert selection ; smart service ; contour detection ; convolutional neural networks ; platform-based ecosystem ; in-line dimensional inspection ; dilated convolutions ; fabric defect detection ; classification ; FCM ; LGM ; digital information flow ; turning ; computer vision ; control service ; blister defect ; RMTs ; feature pyramid ; research and development indicators ; maintenance expert ; polymer lithium-ion battery ; IT concept ; Industry 4.0 ; matching ; data reduction ; competence ; fibre of preserved Szechuan pickle ; elliptical paraboloid array ; relative angle ; geometric relationship ; optical system ; configure-to-order ; aircraft structure crack detection ; digital twins ; smart factory ; D-VGG16 ; optical slope sensor ; smart manufacturing ; self-calibration method ; convolutional neural network ; industry 4.0 ; skyline queries ; machine learning ; scalability test ; cyber-physical production systems ; Cyber-Physical Systems (CPS) ; demand-side response ; cutting parameter optimization ; image smoothing ; marketing innovations ; genetic algorithm ; automation system ; defect detection ; scheduling ; job shop systems ; big data ; operator theory ; micro-armature ; train wheel ; industrial knowledge graph ; industrial load management ; bilinear model ; artificial neural networks ; 4th industrial revolution ; INDUSTRY 4.0 ; construction equipment ; lean assembly ; capacity control ; Grad-CAM ; revolution workpiece ; chatter ; anomaly detection ; QFD ; social network ; deep learning ; control as a service ; warm forming ; automated surface inspection ; cloud-based control system ; innovative marketing tools ; Internet of Things (IoT) ; flower pollination algorithm ; HED ; edge computing ; predictive analytics ; BIM ; digital platforms ; industrial big data ; energy flexibility ; impacts marketing innovations ; intellectualization of industrial information ; economic recession ; 3D mesh reconstruction ; demand-side management ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 98
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; information filter ; out-of-sequence ; Hellinger distance ; coefficient of determination maximization strategy ; uncertainty measure ; embedded systems ; Internet of things (IoT) ; random delays ; adaptive distance function ; random finite set ; Dempster–Shafer evidence theory (DST) ; safe trajectory ; health reliability degree ; dynamic optimization ; state probability approximation ; sensors bias ; multi-environments ; belief entropy ; quaternion ; closed world ; Gaussian process regression ; Gaussian mixture model (GMM) ; intelligent transport system ; multirotor UAV ; multi-sensor system ; attitude ; time-domain data fusion ; precision landing ; Industry 4.0 ; magnetic angular rate and gravity (MARG) sensor ; uncertainty ; unscented information filter ; data classification ; high-definition map ; global information ; inconsistent data ; extended belief entropy ; sensor system ; Steffensen’s iterative method ; SLAM ; the Range-Range-Range frame ; evidential reasoning ; belief functions ; powered two wheels (PTW) ; electronic nose ; particle swarm optimization ; grey group decision-making ; user experience platform ; complex surface measurement ; DoS attack ; extended Kalman filter ; ICP ; Gaussian density peak clustering ; artificial marker ; random parameter matrices ; optimal estimate ; local structure descriptor ; object classification ; domain adaption ; networked systems ; expectation maximization (EM) algorithm ; attitude estimation ; Gaussian process model ; least-squares smoothing ; target positioning ; RFS ; spectral clustering ; maintenance decision ; multi-target tracking ; GMPHD ; time-distributed ConvLSTM model ; non-rigid feature matching ; unknown inputs ; cardiac PET ; subspace alignment ; gradient domain ; multi-sensor measurement ; data fusion ; Bar-Shalom Campo ; Kalman filter ; signal feature extraction methods ; sensor data fusion algorithm ; distributed architecture ; predictive modeling techniques ; Gaussian mixture model ; self-reporting ; deep learning ; mutual support degree ; security zones ; sensor array ; soft sensor ; aircraft pilot ; projection ; vehicle-to-everything ; distributed intelligence system ; square-root cubature Kalman filter ; information fusion ; evidence combination ; LiDAR ; feature representations ; multi-sensor information fusion ; linear constraints ; galvanic skin response ; decision-level sensor fusion ; most suitable parameter form ; Pignistic vector angle ; SINS/DVL integrated navigation ; fault diagnosis ; facial expression ; yaw estimation ; dual gating ; multi-sensor data fusion ; multisensor system ; A* search algorithm ; data fusion architectures ; drift compensation ; augmented state Kalman filtering (ASKF) ; manifold ; nested iterative method ; data preprocessing ; interference suppression ; conflicting evidence ; sonar network ; Gaussian process ; health management decision ; state estimation ; eye-tracking ; high-dimensional fusion data (HFD) ; MEMS accelerometer and gyroscope ; multitarget tracking ; gaussian mixture probability hypothesis density ; integer programming ; image registration ; Dempster–Shafer evidence theory ; linear regression ; data association ; nonlinear system ; covariance matrix ; multi-source data fusion ; fuzzy neural network ; least-squares filtering ; fire source localization ; network flow theory ; weight maps ; camera ; plane matching ; calibration ; unmanned aerial vehicle ; fixed-point filter ; workload ; intelligent and connected vehicles ; mimicry security switch strategy ; alumina concentration ; the Range-Point-Range frame ; spatiotemporal feature learning ; distributed fusion ; user experience evaluation ; image fusion ; vehicular localization ; sensor fusion ; vibration ; parameter learning ; weighted fusion estimation ; data registration ; pose estimation ; surface quality control ; trajectory reconstruction ; land vehicle ; square root ; Deng entropy ; multi-focus ; EEG ; low-cost sensors ; sensor fusing ; sensor data fusion ; packet dropouts ; estimation ; industrial cyber-physical system (ICPS) ; multi-sensor time series ; multi-sensor network ; Human Activity Recognition (HAR) ; transfer ; multisensor data fusion ; convergence condition ; interaction tracker ; acoustic emission ; Covariance Projection method ; mix-method approach ; orthogonal redundant inertial measurement units ; sematic segmentation ; Surface measurement ; conflict measurement ; user experience measurement ; observable degree analysis ; open world ; novel belief entropy ; cutting forces ; machine health monitoring ; Bayesian reasoning method ; orientation ; surface modelling ; hybrid adaptive filtering ; supervoxel ; RTS smoother ; Dempster-Shafer evidence theory (DST) ; fast guided filter. ; multi-sensor joint calibration ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 99
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 100
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Clean energy and fuel storage are often required for both stationary and automotive applications. Some of these clean energy and fuel storage technologies currently under extensive research and development include hydrogen storage, direct electric storage, mechanical energy storage, solar–thermal energy storage, electrochemical (batteries and supercapacitors), and thermochemical storage. The gravimetric and volumetric storage capacity, energy storage density, power output, operating temperature and pressure, cycle life, recyclability, and cost of clean energy or fuel storage are some of the factors that govern efficient energy and fuel storage technologies for potential deployment in energy harvesting (solar and wind farms) stations and onboard vehicular transportation. This Special Issue thus serves the need for promoting exploratory research and development on clean energy and fuel storage technologies while addressing their challenges to practical and sustainable infrastructures.
    Keywords: TA1-2040 ; T1-995 ; MgH2 ; vertically oriented graphene ; gas loss ; concentrated solar power (CSP) ; complex hydrides ; PCM roof ; hydrogen storage systems ; slag ; bubbles transportation ; dye-sensitized solar cells ; undercooling ; methanogenesis ; electrochemical energy storage ; hydrogen storage ; Fischer–Tropsch ; state of charge estimator ; gas turbine engine ; simplified electrochemical model ; hot summer and cold winter area ; rock permeability ; flutter instability ; charge density ; binder ; salt cavern energy storage ; battery energy storage system ; capacitance ; LiNH2 ; ball milling ; production rate ; leaching tubing ; quality function deployment (QFD) ; nanocatalyst ; lab-scale ; thermal energy storage (TES) ; comprehensive incremental benefit ; lean direct injection ; Li-ion batteries ; separator ; four-point ; salt cavern ; low emissions combustion ; ionic liquid ; carbon materials ; nanocomposite materials ; electrical double layers ; recovery factor ; thermochemical energy storage ; Klinkenberg method ; flow-induced vibration ; cathode ; porous media ; metal hydride ; aquifer size ; diffusion ; auxiliary services compensation ; water invasion ; conjugate phase change heat transfer ; heat transfer enhancement ; failure mode and effect analysis (FMEA) ; magnetism ; carbonate gas reservoirs ; equivalent loss of cycle life ; internal and reverse external axial flows ; thermal energy storage ; lithium-ion batteries ; bacterial sulfate reduction ; crystal growth rates ; optimal capacity ; gas storage ; energy discharge ; anode ; Ag nanoparticles ; regenerator ; hydrogen absorption ; freestanding TiO2 nanotube arrays ; material science ; extended kalman filter ; reactive transport modeling ; synthetic rock salt testing ; hydrogen energy storage ; lattice Boltzmann method ; dynamic modeling ; bubbles burst ; Power to Liquid ; large-scale wind farm ; PHREEQC ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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