Artificial intelligence in industry 4.0 and 5G technology (2022)

Public ISBD Titre : Artificial intelligence in industry 4.0 and 5G technology Type de document : texte imprimé Auteurs : Pandian Vasant, Éditeur scientifique ; Elias Munapo, Éditeur scientifique ; J. Joshua Thomas (1973-....), Éditeur scientifique ; Gerhard-Wilhelm Weber, Éditeur scientifique Editeur : Hoboken, NJ : John Wiley et Sons, Inc. Année de publication : 2022 Importance : XXX, 321 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-119-79876-7 Note générale : Ref. Bibliogr. en fin de chapitres. - Index Langues : Anglais (eng) Mots-clés : Artificial intelligence -- Industrial applications Industry 4.0 5G mobile communication systems Intelligence artificielle -- Applications industrielles Industrie Communications mobiles 5G Index. décimale : 004.896 Intelligence artificielle dans les systèmes industriels Résumé : Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches. Note de contenu : Summary : 1. Dynamic Key-based Biometric End-User Authentication Proposal for IoT in Industry 2. Decision Support Methodology for Scheduling Orders in Additive Manufacturing 3. Significance of Consuming 5G-Built Artificial Intelligence in Smart Cities 4. Neural Network Approach to Segmentation of Economic Infrastructure Objects on High-Resolution Satellite Images 5. The Impact of Data Security on the Internet of Things 6. Sustainable Renewable Energy and Waste Management on Weathering Corporate Pollution 7. Adam Adaptive Optimization Method for Neural Network Models Regression in Image Recognition Tasks 8. Application of Integer Programming in Allocating Energy Resources in Rural Africa 9. Feasibility of Drones as the Next Step in Innovative Solution for Emerging Society 10. Designing a Distribution Network for a Soda Company: Formulation and Efficient Solution Procedure 11. Machine Learning and MCDM Approach to Characterize Student Attrition in Higher Education 12. A Concise Review on Recent Optimization and Deep Learning Applications in Blockchain Technology 13. Inventory Routing Problem with Fuzzy Demand and Deliveries with Priority 14. Comparison of Defuzzification Methods for Project Selection 15. Re-Identification-Based Models for Multiple Object Tracking Artificial intelligence in industry 4.0 and 5G technology [texte imprimé] / Pandian Vasant, Éditeur scientifique ; Elias Munapo, Éditeur scientifique ; J. Joshua Thomas (1973-....), Éditeur scientifique ; Gerhard-Wilhelm Weber, Éditeur scientifique . - Hoboken, NJ : John Wiley et Sons, Inc., 2022 . - XXX, 321 p. : ill. ; 24 cm. ISBN : 978-1-119-79876-7 Ref. Bibliogr. en fin de chapitres. - Index Langues : Anglais (eng) Mots-clés : Artificial intelligence -- Industrial applications Industry 4.0 5G mobile communication systems Intelligence artificielle -- Applications industrielles Industrie Communications mobiles 5G Index. décimale : 004.896 Intelligence artificielle dans les systèmes industriels Résumé : Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches. Note de contenu : Summary : 1. Dynamic Key-based Biometric End-User Authentication Proposal for IoT in Industry 2. Decision Support Methodology for Scheduling Orders in Additive Manufacturing 3. Significance of Consuming 5G-Built Artificial Intelligence in Smart Cities 4. Neural Network Approach to Segmentation of Economic Infrastructure Objects on High-Resolution Satellite Images 5. The Impact of Data Security on the Internet of Things 6. Sustainable Renewable Energy and Waste Management on Weathering Corporate Pollution 7. Adam Adaptive Optimization Method for Neural Network Models Regression in Image Recognition Tasks 8. Application of Integer Programming in Allocating Energy Resources in Rural Africa 9. Feasibility of Drones as the Next Step in Innovative Solution for Emerging Society 10. Designing a Distribution Network for a Soda Company: Formulation and Efficient Solution Procedure 11. Machine Learning and MCDM Approach to Characterize Student Attrition in Higher Education 12. A Concise Review on Recent Optimization and Deep Learning Applications in Blockchain Technology 13. Inventory Routing Problem with Fuzzy Demand and Deliveries with Priority 14. Comparison of Defuzzification Methods for Project Selection 15. Re-Identification-Based Models for Multiple Object Tracking

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Bio-aggregates based building materials / Sofiane Amziane (2013)

Public ISBD Titre : Bio-aggregates based building materials : applications to hemp concretes Type de document : texte imprimé Auteurs : Sofiane Amziane, Éditeur scientifique ; Laurent Arnaud, Éditeur scientifique Editeur : London : ISTE éditions Année de publication : 2013 Autre Editeur : Hoboken, NJ : John Wiley et Sons, Inc. Collection : Civil engineering and geomechanics series Importance : XIII, 317 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-84821-404-0 Note générale : Bibliogr. en fin de chapitre. - Index Langues : Anglais (eng) Mots-clés : Fibres végétales (matériaux de construction) Bio-aggregates Concrete Geomechanics Index. décimale : 666.974 Bétons spéciaux Résumé : Using plant material as raw materials for construction is a relatively recent and original topic of research. This book presents an overview of the current knowledge on the material properties and environmental impact of construction materials made from plant particles, which are renewable, recyclable and easily available. It focuses on particles and as well on fibers issued from hemp plant, as well as discussing hemp concretes. The book begins by setting the environmental, economic and social context of agro-concretes, before discussing the nature of plant-based aggregates and binders. The formulation, implementation and mechanical behavior of such building materials are the subject of the following chapters. The focus is then put upon the hygrothermal behavior and acoustical properties of hempcrete, followed by the use of plant-based concretes in structures. The book concludes with the study of life-cycle analysis (LCA) of the environmental characteristics of a banked hempcrete wall on a wooden skeleton. Note de contenu : Au sommaire : 1. Environmental, Economic and Social Context of Agro-Concretes 2. Characterization of Plant-Based Aggregates 3. Binders, Gilles Escadeillas, Camille Magniont 4. Formulation and Implementation 5. Mechanical Behavior 6. Hygrothermal Behavior of Hempcrete 7. Acoustical Properties of Hemp Concretes 8. Plant-Based Concretes in Structures: Structural Aspect – Addition of a Wooden Support to Absorb the Strain 9. Examination of the Environmental Characteristics of a Banked Hempcrete Wall on a Wooden Skeleton, by Lifecycle Analysis: Feedback on the LCA Experiment from 2005 Bio-aggregates based building materials : applications to hemp concretes [texte imprimé] / Sofiane Amziane, Éditeur scientifique ; Laurent Arnaud, Éditeur scientifique . - New York : John Wiley & Sons : Hoboken, NJ : John Wiley et Sons, Inc., 2013 . - XIII, 317 p. : ill. ; 24 cm. - (Civil engineering and geomechanics series) . ISBN : 978-1-84821-404-0 Bibliogr. en fin de chapitre. - Index Langues : Anglais (eng) Mots-clés : Fibres végétales (matériaux de construction) Bio-aggregates Concrete Geomechanics Index. décimale : 666.974 Bétons spéciaux Résumé : Using plant material as raw materials for construction is a relatively recent and original topic of research. This book presents an overview of the current knowledge on the material properties and environmental impact of construction materials made from plant particles, which are renewable, recyclable and easily available. It focuses on particles and as well on fibers issued from hemp plant, as well as discussing hemp concretes. The book begins by setting the environmental, economic and social context of agro-concretes, before discussing the nature of plant-based aggregates and binders. The formulation, implementation and mechanical behavior of such building materials are the subject of the following chapters. The focus is then put upon the hygrothermal behavior and acoustical properties of hempcrete, followed by the use of plant-based concretes in structures. The book concludes with the study of life-cycle analysis (LCA) of the environmental characteristics of a banked hempcrete wall on a wooden skeleton. Note de contenu : Au sommaire : 1. Environmental, Economic and Social Context of Agro-Concretes 2. Characterization of Plant-Based Aggregates 3. Binders, Gilles Escadeillas, Camille Magniont 4. Formulation and Implementation 5. Mechanical Behavior 6. Hygrothermal Behavior of Hempcrete 7. Acoustical Properties of Hemp Concretes 8. Plant-Based Concretes in Structures: Structural Aspect – Addition of a Wooden Support to Absorb the Strain 9. Examination of the Environmental Characteristics of a Banked Hempcrete Wall on a Wooden Skeleton, by Lifecycle Analysis: Feedback on the LCA Experiment from 2005

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Communicating embedded systems (2010)

Public ISBD Titre : Communicating embedded systems : softwware and design : formal methods Type de document : texte imprimé Auteurs : Claude Jard, Éditeur scientifique ; Olivier Roux, Éditeur scientifique Editeur : London : ISTE éditions Année de publication : 2010 Autre Editeur : Hoboken, NJ : John Wiley et Sons, Inc. Importance : 261 p. Présentation : ill. Format : 24 cm. ISBN/ISSN/EAN : 978-1-84821-143-8 Note générale : Bibliogr. en fin de chapitre. - Index Langues : Anglais (eng) Mots-clés : Embedded computer systems Programming Embedded computer systems -- Design and construction Formal methods (Computer science) Programmation de systèmes informatiques embarqués Systèmes informatiques embarqués -- Conception et réalisation Méthodes formelles (Informatique) Index. décimale : 004.031.6 Systèmes incorporé Résumé : The increased complexity of embedded systems coupled with quick design cycles to accommodate faster time-to-market requires increased system design productivity that involves both model-based design and tool-supported methodologies. Formal methods are mathematically-based techniques and provide a clean framework in which to express requirements and models of the systems, taking into account discrete, stochastic and continuous (timed or hybrid) parameters with increasingly efficient tools. This book deals with these formal methods applied to communicating embedded systems by presenting the related industrial challenges and the issues of modeling, model-checking, diagnosis and control synthesis, and by describing the main associated automated tools. Note de contenu : Summary : 1. Models for embedded real-time systems 2. Timed model-checking 3. Control of timed systems 4. Fault diagnosis of timed systems 5. Quantitative verification of markov chains 6. Tools for model-checking timed systems 7. Tools for the analysis of hybrid models Communicating embedded systems : softwware and design : formal methods [texte imprimé] / Claude Jard, Éditeur scientifique ; Olivier Roux, Éditeur scientifique . - London : ISTE éditions : Hoboken, NJ : John Wiley et Sons, Inc., 2010 . - 261 p. : ill. ; 24 cm. ISBN : 978-1-84821-143-8 Bibliogr. en fin de chapitre. - Index Langues : Anglais (eng) Mots-clés : Embedded computer systems Programming Embedded computer systems -- Design and construction Formal methods (Computer science) Programmation de systèmes informatiques embarqués Systèmes informatiques embarqués -- Conception et réalisation Méthodes formelles (Informatique) Index. décimale : 004.031.6 Systèmes incorporé Résumé : The increased complexity of embedded systems coupled with quick design cycles to accommodate faster time-to-market requires increased system design productivity that involves both model-based design and tool-supported methodologies. Formal methods are mathematically-based techniques and provide a clean framework in which to express requirements and models of the systems, taking into account discrete, stochastic and continuous (timed or hybrid) parameters with increasingly efficient tools. This book deals with these formal methods applied to communicating embedded systems by presenting the related industrial challenges and the issues of modeling, model-checking, diagnosis and control synthesis, and by describing the main associated automated tools. Note de contenu : Summary : 1. Models for embedded real-time systems 2. Timed model-checking 3. Control of timed systems 4. Fault diagnosis of timed systems 5. Quantitative verification of markov chains 6. Tools for model-checking timed systems 7. Tools for the analysis of hybrid models

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Engineering intelligent systems / Barclay R. Brown (2023)

Public ISBD Titre : Engineering intelligent systems : systems engineering and design with artificial intelligence, visual modeling, and systems thinking Type de document : texte imprimé Auteurs : Barclay R. Brown, Auteur Editeur : Hoboken, NJ : John Wiley et Sons, Inc. Année de publication : 2023 Importance : XV, 365 p. Présentation : ill. Format : 24 cm ISBN/ISSN/EAN : 978-1-119-66559-5 Note générale : Ref. Bibliogr. - Index Langues : Anglais (eng) Mots-clés : Systems engineering Systems engineering -- Design Artificial intelligence Systems engineering -- Simulation methods Ingénierie des systèmes Intelligence artificielle Ingénierie des systèmes -- Méthodes de simulation Index. décimale : 004.8 Intelligence artificielle Résumé : Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown's 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking--the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems--systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers. Note de contenu : Summary : Part I: systems and artificial intelligence 1. Artificial intelligence, science fiction, and fear 2. We live in a world of systems 3. The intelligence in the system: how artificial intelligence 4. Intelligent systems and the people they lov Part II: systems engineering for intelligent systems 5. Designing systems by drawing pictures and telling 6. Use cases: the superpower of systems engineering 7. Picturing systems with model based systems 8. A time for timeboxes and the use of usage processes Part III: systems thinking for intelligent systems 9. Solving hard problems with systems thinking 10. People systems: a new way to understand the world Engineering intelligent systems : systems engineering and design with artificial intelligence, visual modeling, and systems thinking [texte imprimé] / Barclay R. Brown, Auteur . - Hoboken, NJ : John Wiley et Sons, Inc., 2023 . - XV, 365 p. : ill. ; 24 cm. ISBN : 978-1-119-66559-5 Ref. Bibliogr. - Index Langues : Anglais (eng) Mots-clés : Systems engineering Systems engineering -- Design Artificial intelligence Systems engineering -- Simulation methods Ingénierie des systèmes Intelligence artificielle Ingénierie des systèmes -- Méthodes de simulation Index. décimale : 004.8 Intelligence artificielle Résumé : Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown's 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking--the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems--systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers. Note de contenu : Summary : Part I: systems and artificial intelligence 1. Artificial intelligence, science fiction, and fear 2. We live in a world of systems 3. The intelligence in the system: how artificial intelligence 4. Intelligent systems and the people they lov Part II: systems engineering for intelligent systems 5. Designing systems by drawing pictures and telling 6. Use cases: the superpower of systems engineering 7. Picturing systems with model based systems 8. A time for timeboxes and the use of usage processes Part III: systems thinking for intelligent systems 9. Solving hard problems with systems thinking 10. People systems: a new way to understand the world

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