Internet Of Things And Big Data Analytics Based Manufacturing
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Internet Of Things And Big Data Analytics Based Manufacturing
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Author : Arun Kumar Rana
language : en
Publisher: CRC Press
Release Date : 2024-10-17
Internet Of Things And Big Data Analytics Based Manufacturing written by Arun Kumar Rana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.
By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare. This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge.
Internet Of Things And Big Data Analytics Toward Next Generation Intelligence
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Author : Nilanjan Dey
language : en
Publisher: Springer
Release Date : 2017-08-14
Internet Of Things And Big Data Analytics Toward Next Generation Intelligence written by Nilanjan Dey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-14 with Technology & Engineering categories.
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Big Data Analytics In Smart Manufacturing
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Author : P Suresh
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Big Data Analytics In Smart Manufacturing written by P Suresh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Computers categories.
The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners
Proceedings Of Data Analytics And Management
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Author : Abhishek Swaroop
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Proceedings Of Data Analytics And Management written by Abhishek Swaroop and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into six volumes.
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities
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Author : Ahmed A. Abd El-Latif
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities written by Ahmed A. Abd El-Latif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Technology & Engineering categories.
This book gathers recent research in security and privacy to discuss, evaluate, and improve the novel approaches of data protection in IoT and edge and fog computing. The primary focus of the book addresses security mechanisms in IoT and edge/ fog computing, advanced secure deployments for large scaled edge/ fog computing, and new efficient data security strategy of IoT and edge/ fog computing. The book lays a foundation of the core concepts and principles of IoT and 5G security, walking the reader through the fundamental ideas. This book is aimed at researchers, graduate students, and engineers in the fields of secure IoT and edge/ fog computing. The book also presents selected papers from International Conference on Advanced Computing & Next-Generation Communication (ICACNGC 2022).
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: CRC Press
Release Date : 2024-10-23
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing written by Amit Kumar Tyagi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.
Education Research And Business Technologies
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Author : Cristian Ciurea
language : en
Publisher: Springer Nature
Release Date : 2022-04-15
Education Research And Business Technologies written by Cristian Ciurea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-15 with Technology & Engineering categories.
This book includes high-quality research papers presented at 20th International Conference on Informatics in Economy (IE 2021), which is held in Bucharest, Romania during May 2021. The book covers research results in business informatics and related computer science topics, such as IoT, mobile-embedded and multimedia solutions, e-society, enterprise and business solutions, databases and big data, artificial intelligence, data-mining and machine learning, quantitative economics.
Integration Of Mechanical And Manufacturing Engineering With Iot
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Author : R. Rajasekar
language : en
Publisher: John Wiley & Sons
Release Date : 2023-03-14
Integration Of Mechanical And Manufacturing Engineering With Iot written by R. Rajasekar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-14 with Technology & Engineering categories.
INTEGRATION OF MECHANICAL AND MANUFACTURING ENGINEERING WITH IOT The book provides researchers, professionals, and students with a resource on the basic principles of IoT and its applications, as well as a guide to practicing engineers who want to understand how the Internet of Things can be implemented for different fields of mechanical and manufacturing engineering. This book broadly explores the latest developments of IoT and its integration into mechanical and manufacturing engineering. It details the fundamental concepts and recent developments in IoT & Industry 4.0 with special emphasis on the mechanical engineering platform for such issues as product development and manufacturing, environmental monitoring, automotive applications, energy management, and renewable energy sectors. Topics and related concepts are portrayed comprehensively so that readers can develop expertise and knowledge in the field of IoT. It is packed with reference tables and schematic diagrams for the most commonly used processes and techniques, thereby providing a resource on the basic principles and application of IoT in manufacturing sectors. Audience The book will be read by academic researchers, industry engineers, and R&D personnel in materials, information and technology, artificial intelligence, and manufacturing. The book will greatly assist graduate students.
Computational Intelligence Techniques For Sustainable Supply Chain Management
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Author : Sanjoy Kumar Paul
language : en
Publisher: Elsevier
Release Date : 2024-05-24
Computational Intelligence Techniques For Sustainable Supply Chain Management written by Sanjoy Kumar Paul and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Computers categories.
Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. - Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business - Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence - Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques
Internet Of Things
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Internet Of Things written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to "Internet of Things." The Internet of Things (IoT) is more than just a buzzword; it's a transformative force that's reshaping the way we interact with the world around us. From smart homes that anticipate our needs to industrial processes optimized for efficiency, the IoT has woven itself into the fabric of our daily lives and industries, promising a future of unprecedented connectivity and convenience. This book, "Internet of Things," is your comprehensive guide to understanding, developing for, and thriving in this exciting and dynamic field. Whether you're a curious newcomer, a seasoned developer, or a business leader seeking to harness the potential of IoT, this book has something to offer you. The journey through the pages of this book will take you from the fundamentals of IoT, exploring its history and core concepts, to diving deep into the technologies and protocols that power it. You'll discover the myriad of applications where IoT is making a difference, from smart homes and healthcare to agriculture and smart cities. We'll explore the critical issues surrounding IoT, such as data security and privacy, and equip you with the knowledge to navigate these challenges effectively. Through hands-on examples and practical advice, you'll gain the skills needed to develop IoT solutions, whether you're building a simple home automation project or a complex industrial system. But this book isn't just about the nuts and bolts of IoT; it's also about the bigger picture. We'll examine the ethical and social implications of a world where everything is connected, discussing the responsible development and deployment of IoT technologies. As you delve into the Chapters that follow, you'll find a wealth of information, insights, and inspiration to fuel your IoT journey. This book is a testament to the incredible possibilities that emerge when our physical world meets the digital realm, and we hope it serves as a valuable resource on your quest to master the Internet of Things. The IoT landscape is evolving rapidly, and it's an exciting time to be a part of this technological revolution. So, let's embark on this journey together and explore the limitless potential of the Internet of Things.