"Industrial IoT, Big Data and Supply Chain (IIoTBDSC), International Conference On".
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Modern Industrial IoT, Big Data and Supply Chain
Author: Victor Chang
Publisher: Springer Nature
Published: 2021-03-31
Total Pages: 445
ISBN-13: 9813361417
DOWNLOAD EBOOKThis book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15–17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Author: IEEE Staff
Publisher:
Published: 2022-09-23
Total Pages: 0
ISBN-13: 9781665454568
DOWNLOAD EBOOKInternet of Things, Big Data and Supply Chain
2022 International Conference on Industrial IoT, Big Data and Supply Chain
Author:
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Published: 2022
Total Pages: 0
ISBN-13: 9781665454551
DOWNLOAD EBOOK2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC)
Author: IEEE Staff
Publisher:
Published: 2023-09-22
Total Pages: 0
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DOWNLOAD EBOOKThe Industrial Internet of Things (IIoT) is a platform that allows a network of devices (sensors, smart meters, etc ) to communicate, analyze data and process information collaboratively in the service of individuals or organizations Big Data (BD) has core values of volume, velocity, variety and veracity Supply Chain requires the modern advancement and support from IIoT and Big Data, to make all services efficient, fast, accurate and reliable These three can combine and work together to produce greater impacts and contributions as follows First, the issues surrounding IIoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IIoT produces Often machine learning and other advanced techniques, models and tools, and issues of security and trust are related The maturity of IoT technologies can grow and become part of our everyday lives Second, BD can be jointly used with machine learning, AI, statistical and ot
Modern Industrial IoT, Big Data and Supply Chain
Author: Victor Chang
Publisher:
Published: 2021
Total Pages: 0
ISBN-13: 9789813361423
DOWNLOAD EBOOKThis book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15-17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
Internet of Things and Big Data Analytics-Based Manufacturing
Author: Arun Kumar Rana
Publisher: CRC Press
Published: 2024-10-17
Total Pages: 288
ISBN-13: 1040127517
DOWNLOAD EBOOKBy 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.
Industrial Internet of Things
Author: Sudan Jha
Publisher: CRC Press
Published: 2022-03-28
Total Pages: 265
ISBN-13: 1000529916
DOWNLOAD EBOOKIndustrial Internet of Things: Technologies, Design, and Applications addresses the complete functional framework workflow in IoT technology. It explores basic and high-level concepts, thus serving as a manual for those in the industry while also helping beginners. The book incorporates the working methodology of Industrial IoT works, is based on the latest technologies, and will cover the major challenges, issues, and advances while exploring data-based intelligent and automated systems and their implications to the real world. The book discusses data acquisition, security, learning, intelligent data analysis, and case studies related to Industrial IoT-based applications.
Digital Supply Chain and Logistics with IoT
Author: Andreas Holtschulte
Publisher: Springer Nature
Published: 2022-06-03
Total Pages: 253
ISBN-13: 3030894088
DOWNLOAD EBOOKThe concepts for Industry 4.0 and the Industrial Internet of Things (IIoT) will fundamentally change supply chains, production processes and industries. Intelligent technologies such as IoT, edge and cloud computing, big data, artificial intelligence and digital assistance systems are drivers of this change. This book provides a comprehensive overview of IoT use cases with illustrative practical examples of how digitization or innovation projects can be successfully implemented. It takes into consideration that processes are getting more flexible and efficient, and new digital technologies allow seamless, location-independent communication in near real time between things, processes and people through the digitization of physical objects and processes. Considering these changes, the book provides a guideline on how companies should position themselves for the future with industrial IoT in order to still play a decisive role in the industry in a few years' time. The book is aimed at both decision-makers and practitioners who, on the one hand, recognize the opportunities and possibilities for their company and, on the other hand, want to learn how to use the appropriate technologies. With this in mind it will be valuable for entrepreneurs, managers, architects and also developers in the field of Industry 4.0.
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Author: John Macintyre
Publisher: Springer Nature
Published: 2021-10-27
Total Pages: 1169
ISBN-13: 3030895084
DOWNLOAD EBOOKThis book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
