Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence PDF Author: Ahmad, Muneer
Publisher: IGI Global
ISBN: 1799892034
Category : Computers
Languages : en
Pages : 315

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Book Description
The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence PDF Author: Ahmad, Muneer
Publisher: IGI Global
ISBN: 1799892034
Category : Computers
Languages : en
Pages : 315

Get Book

Book Description
The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues. Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.

Artificial Intelligence for a Sustainable Industry 4.0

Artificial Intelligence for a Sustainable Industry 4.0 PDF Author: Shashank Awasthi
Publisher: Springer Nature
ISBN: 3030770702
Category : Computers
Languages : en
Pages : 311

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Book Description
This book outlines the recent advancements in the field of artificial intelligence (AI) and addresses how useful it is in achieving truly sustainable solutions. The book also serves as a useful reference literature in developing sustainable engineering solutions to various social and techno-commercial issues of global significance. This book is organized into two sections: section 1 is focused on fundamentals and principles of AI to lay the groundwork for the second section. Section 2 explores the sustainable engineering solutions development using AI, which addresses challenges in various computing techniques and opportunities in engineering design for sustainable development using IoT/AI and smart cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoT/AI, Industry 4.0, intelligent and smart grid systems, energy conservation using technology, and robotic process automation (RPA). The book is ideal for the engineers, researchers and students interested in how AI can aid in sustainable development applications.

Biorefinery and Industry 4.0: Empowering Sustainability

Biorefinery and Industry 4.0: Empowering Sustainability PDF Author: Anuj Kumar Chandel
Publisher: Springer Nature
ISBN: 303151601X
Category :
Languages : en
Pages : 385

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Book Description


Enabling Systems for Intelligent Manufacturing in Industry 4.0

Enabling Systems for Intelligent Manufacturing in Industry 4.0 PDF Author: Arturo Molina
Publisher: Springer Nature
ISBN: 3030655474
Category : Technology & Engineering
Languages : en
Pages : 394

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Book Description
This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.

Sustainability in Industry 4.0

Sustainability in Industry 4.0 PDF Author: Shwetank Avikal
Publisher: CRC Press
ISBN: 100045441X
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
A large and growing number of manufacturers are realizing the substantial financial and environmental benefits of sustainable business practices. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic, and social challenges and transform industrial behavior. The objective of this book is to provide the required knowledge and accelerate the transition towards a sustainable industrial system. The book will help industries to enhance operational efficiency by reducing costs and waste. It will help them increase customer response, reach new customers, and gain competitive advantage. It offers innovation, scenario planning, and strategic analysis that goes beyond compliance, as well as case studies and remedies to the industry 4.0 challenges. Professionals, as well as students, can refer to this book to add to their knowledge on Industry 4.0 and develop new ideas and solutions to the existing and future problems.

Industrial AI

Industrial AI PDF Author: Jay Lee
Publisher: Springer Nature
ISBN: 9811521441
Category : Business & Economics
Languages : en
Pages : 176

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Book Description
This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.

Crafting a Sustainable Future Through Education and Sustainable Development

Crafting a Sustainable Future Through Education and Sustainable Development PDF Author: Martínez-Falcó, Javier
Publisher: IGI Global
ISBN: 166849602X
Category : Technology & Engineering
Languages : en
Pages : 319

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Book Description
In an era where the planet faces unprecedented environmental challenges, such as climate change, loss of biodiversity, and water scarcity, sustainable development has become paramount. Crafting a Sustainable Future Through Education and Sustainable Development delves into the crucial role of educational institutions in shaping a sustainable future from economic, social, and environmental perspectives. By examining new currents and challenges within this discipline, this book provides a valuable study resource that sheds light on the intricate relationship between education and achieving sustainability goals. The book emphasizes the vital role of educational institutions as spaces for fostering new paradigms of human behavior towards the environment. Crafting a Sustainable Future Through Education and Sustainable Development serves as a comprehensive study guide, offering critical reflections and constructive critiques. It covers an array of relevant topics, ranging from artificial intelligence and big data to gender equality, game-based learning, and socio-technological innovation. It is ideal for academics, academic students, and policymakers, this book provides invaluable support for undergraduate and master’s students in business, as well as professionals seeking to deepen their knowledge of the role of education in achieving sustainable development.

Intelligent Systems and Industrial Internet of Things for Sustainable Development

Intelligent Systems and Industrial Internet of Things for Sustainable Development PDF Author: C. Kishor Kumar Reddy
Publisher: CRC Press
ISBN: 1040018254
Category : Computers
Languages : en
Pages : 331

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Book Description
The book studies emerging and sustaining technologies for applications of Industry 5.0 to develop technological solutions to address numerous real-life challenges to solve sustainable development-related issues. It identifies limitations, pitfalls, and open research questions in industry 5.0, discusses real-time problems, and challenges with equivalent solutions with a focus on sustainable growth to develop, humanization and environmentally friendly intelligent system applications. It analyses applications enabled by Industry 5.0 such as healthcare, supply chain, smart framing, remote sensing, production in manufacturing, and cloud manufacturing. It also includes the difficulties and problems posed by the organization between robots and humans on the assembly line to maintain sustainability. Addresses key challenges in implementing intelligent systems in IoT-based applications, including issues ranging from cost and energy efficiency to availability and quality of service Explores the technologies to allow human-machine association and its impact on consumption and sustainability Provides sustainable solutions to emerging industrial problems, especially in healthcare, manufacturing, remote sensing, environmental engineering Examines need for data pre-processing, classification & prediction, Cluster Analysis, Mining Multimedia, Text, and Web Data, Advanced machine learning techniques for scientific programming in Industry Presents success stories in the form of case studies of IIoT, IIoRT, Big Data, Intelligent Systems, Deep Learning in Industry 5.0 era The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology, especially for professionals and researchers interested in the technological side of sustainable development.

Artificial Intelligence and Environmental Sustainability

Artificial Intelligence and Environmental Sustainability PDF Author: Hui Lin Ong
Publisher: Springer Nature
ISBN: 9811914346
Category : Technology & Engineering
Languages : en
Pages : 218

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Book Description
The book discusses comprehensive and cutting-edge research and development endeavors, as well as innovative solutions, in implementing AI and related technologies to meet and undertake current and future challenges towards ensuring environmental sustainability. It explores the future research directions in the era of Industry 4.0. In the beginning, an overview of the utilization of Al for environmental sustainability is provided. The remaining chapters of the book cover the technological and application aspects of Al for environmental sustainability with illustrative examples. Finally, challenges with respect to deploying Al to solving environmental problems and the future trends are covered.

Topics in Artificial Intelligence Applied to Industry 4.0

Topics in Artificial Intelligence Applied to Industry 4.0 PDF Author: Mahmoud Ragab AL-Refaey
Publisher: John Wiley & Sons
ISBN: 1394216114
Category : Computers
Languages : en
Pages : 325

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Book Description
Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.