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  • Books  (1,359)
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  • thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology  (1,359)
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  • Books  (1,359)
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  • 11
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    Ein Prognosemodell für die Verwitterung von Sandstein (2021)
    KIT Scientific Publishing
    Details
    Publication Date: 2024-04-11
    Description: Sandstone is the most common kind of natural stone used for historic buildings in Central Europe. During the past century a dramatic increase in different types of damage to historic buildings, monuments and sculptures made from natural stone has been observed. The present work deals with theoretical aspects of strength loss, fracture processes and degradation during the decay processes.
    Keywords: TA1-2040 ; Ermüdung ; weathering model ; Lebensdauer ; finite element methods ; durability ; Verwitterungsmodell ; FEMsandstone ; Sandstein ; fatigue behaviour ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: German
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  • 12
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    Machine Learning and Data Mining Applications in Power Systems (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This Special Issue was intended as a forum to advance research and apply machine-learning and data-mining methods to facilitate the development of modern electric power systems, grids and devices, and smart grids and protection devices, as well as to develop tools for more accurate and efficient power system analysis. Conventional signal processing is no longer adequate to extract all the relevant information from distorted signals through filtering, estimation, and detection to facilitate decision-making and control actions. Machine learning algorithms, optimization techniques and efficient numerical algorithms, distributed signal processing, machine learning, data-mining statistical signal detection, and estimation may help to solve contemporary challenges in modern power systems. The increased use of digital information and control technology can improve the grid’s reliability, security, and efficiency; the dynamic optimization of grid operations; demand response; the incorporation of demand-side resources and integration of energy-efficient resources; distribution automation; and the integration of smart appliances and consumer devices. Signal processing offers the tools needed to convert measurement data to information, and to transform information into actionable intelligence. This Special Issue includes fifteen articles, authored by international research teams from several countries.
    Keywords: virtual power plant (VPP) ; power quality (PQ) ; global index ; distributed energy resources (DER) ; energy storage systems (ESS) ; power systems ; long-term assessment ; battery energy storage systems (BESS) ; smart grids ; conducted disturbances ; power quality ; supraharmonics ; 2–150 kHz ; Power Line Communications (PLC) ; intentional emission ; non-intentional emission ; mains signalling ; virtual power plant ; data mining ; clustering ; distributed energy resources ; energy storage systems ; short term conditions ; cluster analysis (CA) ; nonlinear loads ; harmonics, cancellation, and attenuation of harmonics ; waveform distortion ; THDi ; low-voltage networks ; optimization techniques ; different batteries ; off-grid microgrid ; integrated renewable energy system ; cluster analysis ; K-means ; agglomerative ; ANFIS ; fuzzy logic ; induction generator ; MPPT ; neural network ; renewable energy ; variable speed WECS ; wind energy conversion system ; wind energy ; frequency estimation ; spectrum interpolation ; power network disturbances ; COVID-19 ; time-varying reproduction number ; social distancing ; load profile ; demographic characteristic ; household energy consumption ; demand-side management ; energy management ; time series ; Hidden Markov Model ; short-term forecast ; sparse signal decomposition ; supervised dictionary learning ; dictionary impulsion ; singular value decomposition ; discrete cosine transform ; discrete Haar transform ; discrete wavelet transform ; transient stability assessment ; home energy management ; binary-coded genetic algorithms ; optimal power scheduling ; demand response ; Data Injection Attack ; machine learning ; critical infrastructure ; smart grid ; water treatment plant ; power system ; 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::KNB Energy industries and utilities
    Language: English
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  • 13
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    Assessment and Nonlinear Modeling of Wave, Tidal and Wind Energy Converters and Turbines (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
    Keywords: off-shore wind farms (OSWFs) ; wake model ; wind turbine (WT) ; Extreme Learning Machine (ELM) ; wind power (WP) ; large-eddy simulation (LES) ; point-absorbing ; wave energy converter (WEC) ; maximum power point tracking (MPPT) ; flower pollination algorithm (FPA) ; power take-off (PTO) ; hill-climbing method ; Kirsten–Boeing ; vertical axis turbine ; optimization ; neural nets ; Tensorflow ; ANSYS CFX ; metamodeling ; FOWT ; multi-segmented mooring line ; inclined columns ; semi-submersible ; AFWT ; floating offshore wind turbine (FOWT) ; pitch-to-stall ; blade back twist ; tower fore–aft moments ; negative damping ; blade flapwise moment ; tower axial fatigue life ; wave energy ; oscillating water column ; tank testing ; valves ; air compressibility ; air turbine ; wave-to-wire model ; energy harnessing ; energy converter ; flow-induced oscillations ; vortex-induced vibration ; flow–structure interaction ; hydrodynamics ; vortex shedding ; cylinder wake ; tidal energy ; site assessment ; wave-current interaction ; turbulence ; integral length scales ; wave-turbulence decomposition ; OWC ; wave power converting system ; parametric study ; caisson breakwater application ; floating offshore wind turbines ; frequency domain model ; semisubmersible platform ; 10 MW wind turbines ; large floating platform ; platform optimization ; wind energy ; floating offshore wind turbine ; dynamic analysis ; fatigue life assessment ; flexible power cables ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 14
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    Advances in Mechanical Systems Dynamics 2020 (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: The fundamentals of mechanical system dynamics were established before the beginning of the industrial era. The 18th century was a very important time for science and was characterized by the development of classical mechanics. This development progressed in the 19th century, and new, important applications related to industrialization were found and studied. The development of computers in the 20th century revolutionized mechanical system dynamics owing to the development of numerical simulation. We are now in the presence of the fourth industrial revolution. Mechanical systems are increasingly integrated with electrical, fluidic, and electronic systems, and the industrial environment has become characterized by the cyber-physical systems of industry 4.0. Within this framework, the status-of-the-art has become represented by integrated mechanical systems and supported by accurate dynamic models able to predict their dynamic behavior. Therefore, mechanical systems dynamics will play a central role in forthcoming years. This Special Issue aims to disseminate the latest research findings and ideas in the field of mechanical systems dynamics, with particular emphasis on novel trends and applications.
    Keywords: tire model ; tire temperature ; FSAE vehicle ; rolling bearing ; rigid rotor ; internal radial clearance ; number of rolling elements ; vibration ; varying compliance vibration ; ball passage frequency ; load ; trucks ; handling stability ; lightweight ; taper-leaf spring ; suspension ; step steer ; motorcycle tires ; thermal modeling ; performance optimization ; real-time simulations ; conveyor ; friction ; rolling ; non-linear simulation ; fractal derivative ; viscoelastic models ; polymers ; bicycle ; mountain bike ; tire tread pattern ; force and moment ; e-bike ; tyre ; dynamics ; active rear axle independent steering (ARIS) system ; hierarchical synchronization control ; virtual coupling control ; linear active disturbance rejection control (LADRC) ; computational fluid dynamics ; fluid sloshing ; table cart method ; zero moment point ; rider ; body segment inertial parameters ; biomechanics ; human body ; motorcycle ; multibody ; robot ; compliance ; machining ; modes of vibration ; impulsive testing ; dynamic parameter identification ; dynamic parameters ; parallel kinematics ; parallel robot ; parallel manipulator ; varying friction ; valve train ; coupled approach ; NVH ; vibration energy control ; multi-physics mechanism theory ; non-linear stiffness ; isolation ; hydraulic system ; magnetic spring ; articulated vehicle ; hydraulic steering system ; directional stability ; deformable soil ; tracked vehicle ; contact model ; two-wheeler ; vehicle dynamic modelling ; wobble ; weave ; fork bending compliance ; rider influence ; ADAS ; driver model ; load cell ; steering wheel ; cable robots ; motion planning ; cable failure ; recovery strategy ; roller chain ; chain efficiency ; sliding friction ; lateral offset ; damping force ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 15
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    Supply Chain 4.0: New Generation of Supply Chain Management (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Supply Chain 4.0 is designed, planned, managed and optimized using Industry 4.0 technologies. There are many research issues and challenges associated with Supply Chain 4.0, a data rich complex system. The available data can interpret what happened in the past, what is currently happening, what will happen in the future and what are the best actionable decisions. Digitalization, visibility, connectivity and interoperability are integrated in Supply Chain 4.0. The operational, tactical and strategic plans across the supply chain are digitally interlinked and real-time synchronized with a 360-degree view. The win–win partnerships are dynamic and sustainable, with agility, flexibility and responsiveness to uncertain business environments. New models and methods are advocated to implement Supply Chain 4.0 research and development. With the progress and implementation of Industry 4.0 technologies, it is anticipated that there will be more and more breakthroughs in the models and methods of Supply Chain 4.0. This Special Issue will serve as a helpful reference for Supply Chain 4.0 researchers and practitioners.
    Keywords: Industry 4.0 ; supply chain management and optimization ; Supply Chain 4.0 ; supply chain analytics ; supply chain visibility and connectivity ; supply chain synchronization and coordination ; sustainable supply chain management&nbsp ; 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::TQ Environmental science, engineering and technology
    Language: English
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  • 16
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    Materials Development by Additive Manufacturing Techniques (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: Additive manufacturing (AM) processes are gaining more and more attention from many industrial fields, mainly because they are revolutionizing the components’ designs and production lines. The complete industrialization of these processes has to be supported by the full understanding of correlation between AM building conditions and the final materials’ properties. Another critical aspect is that nowadays only a reduced number of materials processable by AM are available on the market. It is, therefore, fundamental to widen the materials’ portfolio, and to study and develop new materials that can take advantage of these unique building processes.
    Keywords: amorphous poly(lactide acid) ; poly(styrene-co-methyl methacrylate) ; polymer blends ; filament extrusion ; 3D printing ; additive manufacturing ; silicon nitride ; high performance ceramics ; photopolymerisation ; lithography-based ceramic manufacturing ; fused-deposition modeling ; mechanical properties ; thermal behavior ; polyetherimide ; fused filament modelling ; design of experiments ; directed energy deposition ; AISI 316L ; microstructure ; LPBF ; as-built ; as-cast ; microhardness ; tensile test ; Ni–Cu alloy ; materials development ; polymers ; metals ; ceramics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 17
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    Solution Models based on Symmetric and Asymmetric Information (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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  • 18
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    Experimentelle Untersuchungen und Bemessungsansätze für faserverstärktes Mauerwerk unter Erdbebenbeanspruchungen (2021)
    KIT Scientific Publishing
    Details
    Publication Date: 2024-04-11
    Description: Several experimental campaigns are conducted to find feasible fiber reinforcements for buildings under earthquake conditions. Therefore tensile tests for the description of the bonding behavior of the fibers, shear tests on three-stone small specimen, small static cyclic shear wall tests, bending tests of wall segments, large format dynamically loaded wall plates and five building experiments were performed under realistic time history acceleration. At the end a calculation method is proposed.
    Keywords: TA1-2040 ; masonry ; Erdbeben ; Verstärkungen ; fiber reinforced concrete ; Bemessung ; Faserverbundwerkstoffe ; earthquake ; Mauerwerk ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: German
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  • 19
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    Middleware Solutions for Wireless Internet of Things (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
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    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
    Language: English
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  • 20
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    Photoacoustic Tomography (PAT) (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    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
    Language: English
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