Author: Nazmul Siddique
Publisher: CRC Press
ISBN: 1000803058
Category : Business & Economics
Languages : en
Pages : 338
Book Description
Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.
Applied Informatics for Industry 4.0
Author: Nazmul Siddique
Publisher: CRC Press
ISBN: 1000803058
Category : Business & Economics
Languages : en
Pages : 338
Book Description
Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.
Publisher: CRC Press
ISBN: 1000803058
Category : Business & Economics
Languages : en
Pages : 338
Book Description
Applied Informatics for Industry 4.0 combines the technologies of computer science and information science to assist in the management and processing of data to provide different types of services. Due to the adaptation of 4.0 IR-related technologies, applied informatics is playing a vital role in different sectors such as healthcare, complex system design and privacy-related issues. This book focuses on cutting edge research from the fields of informatics and complex industrial systems, and will cover topics including health informatics, bioinformatics, brain informatics, genomics and proteomics, data and network security and more. The text will appeal to beginners and advanced researchers in the fields of computer science, information sciences, electrical and electronic engineering and robotics.
Handbook of Smart Materials, Technologies, and Devices
Author: Chaudhery Mustansar Hussain
Publisher: Springer Nature
ISBN: 3030842053
Category : Technology & Engineering
Languages : en
Pages : 2831
Book Description
This handbook brings together technical expertise, conceptual background, applications, and societal aspects of Industry 4.0: the evolution of automation and data exchange in fabrication technologies, materials processing, and device manufacturing at both experimental and theoretical model scales. The book assembles all the aspects of Industry 4.0, starting from the emergence of the concept to the consequences of its progression. Drawing on expert contributors from around the world, the volume details the technologies that sparked the fourth revolution and illustrates their characteristics, potential, and methods of use in the industrial and societal domains. In addition, important topics such as ethics, privacy and security are considered in a reality where all data is shared and saved remotely. The collection of contribution serve a very broad audience working in the fields of science and engineering, chemical engineering, materials science, nanotechnology, energy, environment, green chemistry, sustainability, electrical and electronic engineering, solid-state physics, surface science, aerosol technology, chemistry, colloid science, device engineering, and computer technology. This handbook ideal reference libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists.
Publisher: Springer Nature
ISBN: 3030842053
Category : Technology & Engineering
Languages : en
Pages : 2831
Book Description
This handbook brings together technical expertise, conceptual background, applications, and societal aspects of Industry 4.0: the evolution of automation and data exchange in fabrication technologies, materials processing, and device manufacturing at both experimental and theoretical model scales. The book assembles all the aspects of Industry 4.0, starting from the emergence of the concept to the consequences of its progression. Drawing on expert contributors from around the world, the volume details the technologies that sparked the fourth revolution and illustrates their characteristics, potential, and methods of use in the industrial and societal domains. In addition, important topics such as ethics, privacy and security are considered in a reality where all data is shared and saved remotely. The collection of contribution serve a very broad audience working in the fields of science and engineering, chemical engineering, materials science, nanotechnology, energy, environment, green chemistry, sustainability, electrical and electronic engineering, solid-state physics, surface science, aerosol technology, chemistry, colloid science, device engineering, and computer technology. This handbook ideal reference libraries in universities and industrial institutions, government and independent institutes, individual research groups and scientists.
Advances in Manufacturing Technology XXXV
Author: M. Shafik
Publisher: IOS Press
ISBN: 1643683314
Category : Technology & Engineering
Languages : en
Pages : 416
Book Description
Within the context of Industrial 4.0 and beyond, developing and managing the technologies and operations key to sustaining the success of manufacturing businesses is crucial, and the promotion of manufacturing-engineering education, training, and research is of vital importance. This book presents the proceedings of ICMR 2022, the 19th International Conference in Manufacturing Research, Incorporating the 36th National Conference in Manufacturing Research, held in Derby, UK, from 6 - 8 September 2022. For over two decades, ICMR has been the main manufacturing research conference held in the UK. Bringing together researchers, academics, and industrialists to share their knowledge and experience, the conference provides a friendly and inclusive platform for a broad community of researchers who share the common goal of making digital and advanced manufacturing as efficient and effective as possible. The theme of ICMR2022 is smart manufacturing. Of the 78 papers submitted, 58 were accepted for presentation after review and are included here. This represents an acceptance rate of 72%. The book is divided into 8 sections: smart manufacturing; digital manufacturing; additive manufacturing; robotics and industrial automation; composite manufacturing and machining processes; product design, development and quality management; information and knowledge management; and decision support and production optimization. Exploring all core areas of digital and advanced manufacturing engineering, the book will be of interest to all those working in the field.
Publisher: IOS Press
ISBN: 1643683314
Category : Technology & Engineering
Languages : en
Pages : 416
Book Description
Within the context of Industrial 4.0 and beyond, developing and managing the technologies and operations key to sustaining the success of manufacturing businesses is crucial, and the promotion of manufacturing-engineering education, training, and research is of vital importance. This book presents the proceedings of ICMR 2022, the 19th International Conference in Manufacturing Research, Incorporating the 36th National Conference in Manufacturing Research, held in Derby, UK, from 6 - 8 September 2022. For over two decades, ICMR has been the main manufacturing research conference held in the UK. Bringing together researchers, academics, and industrialists to share their knowledge and experience, the conference provides a friendly and inclusive platform for a broad community of researchers who share the common goal of making digital and advanced manufacturing as efficient and effective as possible. The theme of ICMR2022 is smart manufacturing. Of the 78 papers submitted, 58 were accepted for presentation after review and are included here. This represents an acceptance rate of 72%. The book is divided into 8 sections: smart manufacturing; digital manufacturing; additive manufacturing; robotics and industrial automation; composite manufacturing and machining processes; product design, development and quality management; information and knowledge management; and decision support and production optimization. Exploring all core areas of digital and advanced manufacturing engineering, the book will be of interest to all those working in the field.
Nursing and Informatics for the 21st Century
Author: Charlotte Weaver
Publisher: CRC Press
ISBN: 1498757332
Category : Business & Economics
Languages : en
Pages : 622
Book Description
Nursing and Informatics for the 21st Century is the follow-up to the highly successful, award-winning first edition. Published in 2006, the first edition was a critical resource in chronicling the huge historical shift in nursing linked to the explosion of EHR national strategies and health policies around the globe. This updated edition, co-publis
Publisher: CRC Press
ISBN: 1498757332
Category : Business & Economics
Languages : en
Pages : 622
Book Description
Nursing and Informatics for the 21st Century is the follow-up to the highly successful, award-winning first edition. Published in 2006, the first edition was a critical resource in chronicling the huge historical shift in nursing linked to the explosion of EHR national strategies and health policies around the globe. This updated edition, co-publis
Applied Informatics and Communication, Part I
Author: Dehuai Zheng
Publisher: Springer Science & Business Media
ISBN: 3642232132
Category : Computers
Languages : en
Pages : 765
Book Description
The five volume set CCIS 224-228 constitutes the refereed proceedings of the International conference on Applied Informatics and Communication, ICAIC 2011, held in Xi'an, China in August 2011. The 446 revised papers presented were carefully reviewed and selected from numerous submissions. The papers cover a broad range of topics in computer science and interdisciplinary applications including control, hardware and software systems, neural computing, wireless networks, information systems, and image processing.
Publisher: Springer Science & Business Media
ISBN: 3642232132
Category : Computers
Languages : en
Pages : 765
Book Description
The five volume set CCIS 224-228 constitutes the refereed proceedings of the International conference on Applied Informatics and Communication, ICAIC 2011, held in Xi'an, China in August 2011. The 446 revised papers presented were carefully reviewed and selected from numerous submissions. The papers cover a broad range of topics in computer science and interdisciplinary applications including control, hardware and software systems, neural computing, wireless networks, information systems, and image processing.
Applied Operational Research
Author: Kaveh Sheibani
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 582
Book Description
These proceedings gather contributions presented at the 3rd International Conference on Applied Operational Research (ICAOR 2011) in Istanbul, Turkey, August 24-26, 2011, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Publisher: ORLAB Analytics
ISBN:
Category : Business & Economics
Languages : en
Pages : 582
Book Description
These proceedings gather contributions presented at the 3rd International Conference on Applied Operational Research (ICAOR 2011) in Istanbul, Turkey, August 24-26, 2011, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.
Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production
Author: János Abonyi
Publisher: Springer Nature
ISBN: 3031474449
Category : Technology & Engineering
Languages : en
Pages : 277
Book Description
This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modeling and optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods to facilitate collaboration and support shop floor workers.
Publisher: Springer Nature
ISBN: 3031474449
Category : Technology & Engineering
Languages : en
Pages : 277
Book Description
This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modeling and optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods to facilitate collaboration and support shop floor workers.
Metaheuristic Algorithms in Industry 4.0
Author: Pritesh Shah
Publisher: CRC Press
ISBN: 1000435989
Category : Computers
Languages : en
Pages : 320
Book Description
Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Publisher: CRC Press
ISBN: 1000435989
Category : Computers
Languages : en
Pages : 320
Book Description
Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Industry 4.0 for SMEs
Author: Dominik T. Matt
Publisher: Springer Nature
ISBN: 3030254259
Category : Business & Economics
Languages : en
Pages : 435
Book Description
This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
Publisher: Springer Nature
ISBN: 3030254259
Category : Business & Economics
Languages : en
Pages : 435
Book Description
This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
Computational Intelligence in Industry 4.0 and 5.0 Applications
Author: JOSEPH BAMIDELE AWOTUNDE
Publisher: CRC Press
ISBN: 1040275397
Category : Computers
Languages : en
Pages : 425
Book Description
Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.
Publisher: CRC Press
ISBN: 1040275397
Category : Computers
Languages : en
Pages : 425
Book Description
Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence in Industry 4.0 and 5.0 Applications examines applications that merge three key disciplines: computational intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using Industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, the IoT, the IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industries 4.0 and 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These applications are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face such technical challenges as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these, this book examines such CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and 5.0 systems.