IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
Author: Joao Gama
Publisher: Springer Nature
Total Pages: 317
Release: 2021-01-09
Genre: Computers
ISBN: 3030667707
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This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online. The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication

Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication
Author: Pieter Harpe
Publisher: Springer Nature
Total Pages: 351
Release: 2022-03-24
Genre: Technology & Engineering
ISBN: 303091741X
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This book is based on the 18 tutorials presented during the 29th workshop on Advances in Analog Circuit Design. Expert designers present readers with information about a variety of topics at the frontier of analog circuit design, with specific contributions focusing on analog circuits for machine learning, current/voltage/temperature sensors, and high-speed communication via wireless, wireline, or optical links. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.

Special Topics in Information Technology

Special Topics in Information Technology
Author: Carlo G. Riva
Publisher: Springer Nature
Total Pages: 150
Release: 2022-11-10
Genre: Technology & Engineering
ISBN: 303115374X
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This open access book presents outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications. Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the best theses defended in 2021-22 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

Low-Power Computer Vision

Low-Power Computer Vision
Author: George K. Thiruvathukal
Publisher: CRC Press
Total Pages: 395
Release: 2022-02-22
Genre: Computers
ISBN: 1000540960
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Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

Efficient Execution of Irregular Dataflow Graphs

Efficient Execution of Irregular Dataflow Graphs
Author: Nimish Shah
Publisher: Springer Nature
Total Pages: 155
Release: 2023-08-14
Genre: Technology & Engineering
ISBN: 3031331362
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This book focuses on the acceleration of emerging irregular sparse workloads, posed by novel artificial intelligent (AI) models and sparse linear algebra. Specifically, the book outlines several co-optimized hardware-software solutions for a highly promising class of emerging sparse AI models called Probabilistic Circuit (PC) and a similar sparse matrix workload for triangular linear systems (SpTRSV). The authors describe optimizations for the entire stack, targeting applications, compilation, hardware architecture and silicon implementation, resulting in orders of magnitude higher performance and energy-efficiency compared to the existing state-of-the-art solutions. Thus, this book provides important building blocks for the upcoming generation of edge AI platforms.

IoT Maintenance: Predictive Techniques for Smart Equipment

IoT Maintenance: Predictive Techniques for Smart Equipment
Author: Alex C. Techworth
Publisher: Book Lovers HQ
Total Pages: 143
Release: 2024-06-26
Genre: Technology & Engineering
ISBN:
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Discover the future of industrial maintenance with "IoT Maintenance: Predictive Techniques for Smart Equipment," a cutting-edge guide to transforming your maintenance strategies through the power of the Internet of Things (IoT). This book is an essential resource for professionals seeking to leverage IoT technology to enhance operational efficiency and reduce downtime. With a focus on predictive maintenance, this guide is tailored to revolutionize your approach to equipment management and maintenance across various industries. What You Will Find in This Book: - Insights into IoT Systems: Learn how IoT devices and sensors work synergistically to monitor equipment health and predict maintenance needs. - Predictive Maintenance Strategies: Detailed discussions on how to implement IoT-based predictive maintenance to anticipate and prevent potential failures. - Industry-Specific Applications: Explore tailor-made IoT solutions across diverse sectors including manufacturing, healthcare, agriculture, and energy. - Practical Case Studies: Real-world success stories that illustrate the profound impact of IoT on enhancing operational resilience and safety. - Technological Foundations: Understand the core technologies and infrastructure that support IoT operations, from cloud computing to data analytics. - Security and Data Management: Essential guidance on navigating the complexities of data security and privacy in IoT deployments. - Future Trends and Innovations: Look ahead at emerging IoT technologies and trends that are set to redefine maintenance practices. Embrace the technological revolution in industrial maintenance with "IoT Maintenance: Predictive Techniques for Smart Equipment" and set the stage for a more efficient, reliable, and sustainable future.

Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management
Author: Farhad Balali
Publisher: Springer Nature
Total Pages: 247
Release: 2020-01-22
Genre: Technology & Engineering
ISBN: 3030359301
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This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
Author: John MacIntyre
Publisher: Springer Nature
Total Pages: 887
Release: 2020-11-04
Genre: Computers
ISBN: 3030627462
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This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. 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.