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  • bic Book Industry Communication::J Society & social sciences::JP Politics & government  (698)
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  • 1
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-24
    Description: This book reprints articles from the Special Issue "Advances in Computer-Aided Technology" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of thirteen published articles. This Special Issue belongs to the "Mechatronic and Intelligent Machines" section. Industry 4.0 is characterized by the integration of advanced technologies, such as artificial intelligence, the Internet of Things, and cloud computing, into traditional manufacturing and production processes. CAx (Computer-Aided Systems) systems are a set of computer software tools used in engineering and product design, covering various stages of the product development cycle. Advanced CAx tools combine many different aspects of product lifecycle management (PLM), including design, finite element analysis (FEA), manufacturing, production planning and product. In connection with the transition to Industry 4.0 concepts, the concept of the digital twin comes to the fore, and existing CAx systems must adapt to this trend. The Special Issue deals with a number of research areas, such as: - New trends in CAx systems; Digital manufacturing; Internet of Things in manufacturing; Simulation of production systems and processes; Systems for advanced finite element analysis; Material engineering; Digitization and 3D scanning.
    Keywords: tensor glyph ; golden section ; vector space ; sandwich ; springback ; Vegter yield criterion ; numerical simulation ; PAM-STAMP 2G ; isotropic hardening law ; kinematic hardening law ; bending ; Bauschinger effect ; machine learning ; artificial neural network ; additive manufacturing ; high precision metrology ; CAD ; predictive model ; ship hull structure ; computer-aided design of structure ; database ; function soft block ; gun drill tool ; deep-drilling technology ; optimization ; tool life ; angle ; digital implant impression ; interimplant distance ; intraoral scanner ; trueness ; sewing machine ; needle bar ; floating needle ; electromagnet ; electromagnetic simulation ; noise reduction ; cycloidal gearbox ; friction ; actuator ; servomotor ; permanent magnet synchronous machine ; fixture design ; machining ; sustainable manufacturing ; process innovation ; complex-shape part ; signal processing ; monitoring system ; laser profiler ; surface roughness ; quality assessment ; non-contact method ; vision-based method ; frequency analysis ; abrasive water jet ; wood plastic composite ; natural reinforcement ; knitting machine ; stroke ; drive ; simulation ; cylinder ; dynamic modeling ; load spectrum reconstruction ; fatigue test ; hydraulic excavator ; n/a ; thema EDItEUR::C Language and Linguistics
    Language: English
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  • 2
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    ANU Press
    Publication Date: 2022-04-28
    Description: Government policy; Social conditions; Aboriginal australians
    Keywords: government policy ; social conditions ; aboriginal australians ; Census ; Community Development Employment Projects ; Darwin ; Northern Territory ; Indigenous Australians ; Northern Territory ; Wadeye ; Northern Territory ; Workforce ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
    Language: English
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  • 3
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    Taylor & Francis | Routledge
    Publication Date: 2024-03-29
    Description: "The Politics of Trauma and Integrity uses the lenses of gender and trauma to tell the stories of narratives testified by two contrasting Japanese “comfort women” survivors. Through an innovative interdisciplinary study of the politics of gendered memory and trauma in historical context, with numerous primary sources for analysis including diaries, interviews, letters and oral testimonies, this book uncovers the life-or-death struggles of Japanese survivors in pursuit of public recognition as the victims of state violence against women. It is set within a gender history of modern Japan, supplemented by feminist activist methodology premised upon political agency that seeks social justice. The author’s analysis draws upon three key concepts: trauma, coherence of the self, and integrity. Focusing upon the role of gender and trauma as the nexus between memory construction and identity formation in modern Japan, the author reveals these women’s relentless quest for their recovery and creation of new identities. This book provides a better understanding of the victims of sexual violence and encourages readers to listen to the voice of trauma, as well as making a significant contribution to the existing research on the ongoing history of sexual violence against women in Japan, the rest of Asia and beyond. It will be of interest to scholars, researchers, activists and all who are interested in the issue of women’s human rights. It provides supplementary reading and research material for history and politics courses relating to Japan and East Asia, memory, identity, trauma, gender, war and feminist activism. This book will also be beneficial to victims of sexual violence as well as the counsellors/psychologists engaging with them."
    Keywords: Activist, Comfort Woman, Comfort Women, Conspiracy, Feminist, Gender, Human Right, Identity, Integrity, Japan, Kikumaru, Listener, Masculinity, Memory, Patriarchal, Politics, Recovery, Revisionism, Self, Sex, Shirota, Silence, Social Justice, State, Survivor, Trauma, Victim, Violence, War ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
    Language: English , Japanese
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    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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  • 5
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes revised selected papers from the International Workshops held at the 4th International Conference on Process Mining, ICPM 2022, which took place in Bozen-Bolzano, Italy, during October 23–28, 2022. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-located workshops provided a forum for novel research ideas. The 42 papers included in this volume were carefully reviewed and selected from 89 submissions. They stem from the following workshops: – 3rd International Workshop on Event Data and Behavioral Analytics (EDBA) – 3rd International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) – 3rd International Workshop on Responsible Process Mining (RPM) (previously known as Trust, Privacy and Security Aspects in Process Analytics) – 5th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) – 3rd International Workshop on Streaming Analytics for Process Mining (SA4PM) – 7th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) – 1st International Workshop on Education meets Process Mining (EduPM) – 1st International Workshop on Data Quality and Transformation in Process Mining (DQT-PM)
    Keywords: process mining ; process discovery ; process analytics ; process querying ; conformance checking ; predictive process monitoring ; data science ; knowledge graphs ; event data ; streaming analytics ; machine learning ; deep learning ; business process management ; health informatics ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBH Digital and information technologies: Health and safety aspects
    Language: English
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  • 6
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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
    Language: English
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  • 7
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2022-03-16
    Description: This book discusses and analyses global policies and practices aimed at promoting equity in higher education participation and attainment. Although the massification of higher education systems has facilitated the participation of students from deprived backgrounds, socioeconomic inequalities persist in access to the most prestigious institutions and programmes. Privileged students benefit from a number of advantages in the competition for selective and scarce places: access to information, lower aversion to debt, higher expectations, better previous schooling and higher academic achievement. The chapters present a critical analysis of equity policies in different countries – with or without affirmative action policies, within a context of neoliberal policies or within a social democratic model – and the reasons why they have failed to promote equity and fairness, preventing students from achieving their full educational potential. This is an open access book.
    Keywords: equity in higher education ; access to higher education ; participation in higher education ; attainment and retention ; higher education policy ; Open Access ; bic Book Industry Communication::J Society & social sciences::JN Education::JNM Higher & further education, tertiary education ; bic Book Industry Communication::J Society & social sciences::JN Education::JNF Educational strategies & policy ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2022-03-21
    Description: This book captures advancements in the applications of computational intelligence (artificial intelligence, machine learning, etc.) to problems in the mineral and mining industries. The papers present the state of the art in four broad categories: mine operations, mine planning, mine safety, and advances in the sciences, primarily in image processing applications. Authors in the book include both researchers and industry practitioners.
    Keywords: truck dispatching ; mining equipment uncertainties ; orebody uncertainty ; discrete event simulation ; Q-learning ; grinding circuits ; minerals processing ; random forest ; decision trees ; machine learning ; knowledge discovery ; variable importance ; mineral prospectivity mapping ; random forest algorithm ; epithermal gold ; unstructured data ; blast impact ; empirical model ; mining ; fragmentation ; mine worker fatigue ; random forest model ; health and safety management ; stockpiles ; operational data ; mine-to-mill ; geostatistics ; ore control ; mine optimization ; digital twin ; modes of operation ; geological uncertainty ; multivariate statistics ; partial least squares regression ; oil sands ; bitumen extraction ; bitumen processability ; mine safety and health ; accidents ; narratives ; natural language processing ; random forest classification ; hyperspectral imaging ; multispectral imaging ; dimensionality reduction ; neighbourhood component analysis ; artificial intelligence ; mining exploitation ; masonry buildings ; damage risk analysis ; Bayesian network ; Naive Bayes ; Bayesian Network Structure Learning (BNSL) ; rock type ; mining geology ; bluetooth beacon ; classification and regression tree ; gaussian naïve bayes ; k-nearest neighbors ; support vector machine ; transport route ; transport time ; underground mine ; tactical geometallurgy ; data analytics in mining ; ball mill throughput ; measurement while drilling ; non-additivity ; coal ; petrographic analysis ; macerals ; image analysis ; semantic segmentation ; convolutional neural networks ; point cloud scaling ; fragmentation size analysis ; structure from motion ; 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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  • 9
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    Taylor & Francis | Routledge India
    Publication Date: 2024-01-30
    Description: The Last Mile explores the gaps and dichotomy between drafted policies and their implementation, and the last mile challenges which often make public services inaccessible to the poorest and most vulnerable sections of society. It provides an in-depth overview of the dynamics between communities, research and consultation and the implementation of policies for development. Rich in empirical data and case studies from different government programmes and reports, this book examines the implementation of government service programmes for poverty reduction, women’s empowerment, and income generation for the poor, among others, from a people’s perspective. It highlights the need for policies and institutions to align their methods to community needs. Offering guidelines for redesigning as well as solutions to counter challenges related to lack of trust and effective communication, human resource management, capacity development, redressal mechanisms, and facilitating the last mile connection, the author delineates effective ways for integrating new technologies in policy implementation. The book also addresses legacy issues in institutions and re-orienting policy for better governance, transparency, and building trust. Part of the Innovations, Practice and the Future of Public Policy in India series, this book, by a senior practitioner, will be an essential resource for students and researchers of development studies, sociology, public policy and governance, economics, and South Asian studies. This book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons (CC-BY-NC-ND) 4.0 license.
    Keywords: community development ; governance ; public policy ; social programmes ; socioeconomic development ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JK Social services & welfare, criminology::JKS Social welfare & social services ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management ; bic Book Industry Communication::J Society & social sciences::JP Politics & government ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSF Rural communities ; bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GT Interdisciplinary studies::GTB Regional studies ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-09
    Description: Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.
    Keywords: plasticity ; machine learning ; constitutive modeling ; manifold learning ; topological data analysis ; GENERIC ; soft living tissues ; hyperelasticity ; computational modeling ; data-driven mechanics ; TDA ; Code2Vect ; nonlinear regression ; effective properties ; microstructures ; model calibration ; sensitivity analysis ; elasto-visco-plasticity ; Gaussian process ; high-throughput experimentation ; additive manufacturing ; Ti–Mn alloys ; spherical indentation ; statistical analysis ; Gaussian process regression ; nanoporous metals ; open-pore foams ; FE-beam model ; data mining ; mechanical properties ; hardness ; principal component analysis ; structure–property relationship ; microcompression ; nanoindentation ; analytical model ; finite element model ; artificial neural networks ; model correction ; feature engineering ; physics based ; data driven ; laser shock peening ; residual stresses ; data-driven ; multiscale ; nonlinear ; stochastics ; neural networks ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
    Language: English
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