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Proceedings of Trends in Electronics and Health Informatics

Author : Mufti Mahmud

Publisher : Springer Nature

Page : 506 pages

File Size : 16,89 MB

Release : 2023-06-27

Category : Technology & Engineering

ISBN : 9819919169

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Book Description

This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2022), held at University of Puebla, Puebla, México, during December 7–9, 2022. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.



Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Author : Abdulhamit Subasi

Publisher : Elsevier

Page : 426 pages

File Size : 29,17 MB

Release : 2024-09-18

Category : Science

ISBN : 0443291519

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Book Description

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in both Artificial Intelligence and Human-Machine Interaction. The book not only provides cross disciplinary research in the fields of multimodal signal acquisition and sensing, analysis, IoTs (Internet of Things), Artificial Intelligence, and system architectures, it also evaluates the role of Artificial Intelligence I in relation to the realization of contemporary Human Machine Interaction (HMI) systems.Readers are introduced to the multimodal signals and their role in the identification of the intended subjects, mental state and the realization of HMI systems are explored, and the applications of signal processing and machine/ensemble/deep learning for HMIs are assessed. A description of proposed methodologies is provided, and related works are also presented. This is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of HMIs, Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field. - Covers advances in the multimodal signal processing and artificial intelligence assistive HMIs - Presents theories, algorithms, realizations, applications, approaches, and challenges that will have their impact and contribution in the design and development of modern and effective HMI (Human Machine Interaction) system - Presents different aspects of the multimodal signals, from the sensing to analysis using hardware/software, and making use of machine/ensemble/deep learning in the intended problem-solving



IoT Enabled-DC Microgrids

Author : Imed Ben Dhaou

Publisher : CRC Press

Page : 281 pages

File Size : 37,58 MB

Release : 2024-11-22

Category : Science

ISBN : 1040222994

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Book Description

Smart grid is a new generation of power grids that is expected to enhance its reliability and reduce carbon footprint by integrating distributed resources. Microgrid technology allows the integration of renewable energies, which come in three modes: AC, DC, or hybrid. The increasing number of DC loads, the need to reduce power loss in converting DC power to AC, and the existence of DC storage units have favored the adoption of DC microgrids. The electrification of the transportation sector has further supported the adoption of DC microgrids. A DC microgrid system comprises renewable resources, DC storage elements, DC loads, and intelligent electrical devices. It has gained interest due to its efficiency, scalability, and cost-effectiveness. DC microgrids play a crucial role in powering diverse applications such as data centers, residential areas, base stations, and electric vehicle charging stations. This book covers the design, control, and management of DC microgrids in both islanded and grid-connected modes. It focuses on ICT infrastructure, security, sensors, embedded systems, machine learning algorithms, edge/fog computing, and the socio-economic impact.



Advances in Computing and Data Sciences

Author : Mayank Singh

Publisher : Springer Nature

Page : 611 pages

File Size : 18,40 MB

Release : 2023-08-23

Category : Computers

ISBN : 3031379403

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Book Description

This book constitutes the refereed proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023, held in Kolkata, India, during April 27–28, 2023. The 47 full papers included in this book were carefully reviewed and selected from 22 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.



Energy Storage Technologies in Grid Modernization

Author : Sandeep Dhundhara

Publisher : John Wiley & Sons

Page : 372 pages

File Size : 44,59 MB

Release : 2023-08-01

Category : Science

ISBN : 1119872111

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Book Description

ENERGY STORAGE TECHNOLOGIES IN GRID MODERNIZATION Written and edited by a team of experts, this exciting new volume discusses the various types of energy storage technologies, the applications of energy storage systems, their role in the real-time operation of power markets, and the operational issues of modern power systems, including renewable-based generating sources. The worldwide energy sector, specifically power generation, has undergone a huge transformation in recent years, and the focus is to make it sustainable, environmentally friendly, reliable, and highly efficient. As a result, a significant share of highly intermittent but clean renewable sources is being integrated into the power system using advanced technological components. The higher penetration level of renewable energy sources (RESs) has increased the active power generation share in the grid but reduced the total rotating system inertia. This high reduction in inertia brings new challenges and technical issues to the operators of modern power systems and impacts the stability and security of the grid. The stochasticity of these renewable sources also poses a big challenge to the efficient operation of the power system. Electrical energy storage systems help to manage such issues and challenges that occur due to the intermittent nature of RES and can play a big role in the smooth and reliable operation of the power system. The applications and opportunities to use storage on the grid are growing due to the improvements in energy storage technologies, and flexible regulatory frameworks. Technological developments have made it possible to use batteries and other Energy Storage Systems (ESSs) for managing the operation of the power system. This book aims to illustrate the potential of energy storage systems in different applications of the modern power system considering recent advances and research trends in storage technologies. These areas are going to play a very significant role in future smart grid operations. This book discusses the various types of energy storage technologies and promotes the applications of ESSs in the performance improvement of modern power systems. Whether for the veteran engineer, new hire, or student, it is a must-have for any library.



Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning, volume II

Author : Huajin Tang

Publisher : Frontiers Media SA

Page : 152 pages

File Size : 45,25 MB

Release : 2024-08-26

Category : Science

ISBN : 283255363X

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Book Description

Towards the long-standing dream of artificial intelligence, two solution paths have been paved: (i) neuroscience-driven neuromorphic computing; (ii) computer science-driven machine learning. The former targets at harnessing neuroscience to obtain insights for brain-like processing, by studying the detailed implementation of neural dynamics, circuits, coding and learning. Although our understanding of how the brain works is still very limited, this bio-plausible way offers an appealing promise for future general intelligence. In contrast, the latter aims at solving practical tasks typically formulated as a cost function with high accuracy, by eschewing most neuroscience details in favor of brute force optimization and feeding a large volume of data. With the help of big data (e.g. ImageNet), high-performance processors (e.g. GPU, TPU), effective training algorithms (e.g. artificial neural networks with gradient descent training), and easy-to-use design tools (e.g. Pytorch, Tensorflow), machine learning has achieved superior performance in a broad spectrum of scenarios. Although acclaimed for the biological plausibility and the low power advantage (benefit from the spike signals and event-driven processing), there are ongoing debates and skepticisms about neuromorphic computing since it usually performs worse than machine learning in practical tasks especially in terms of the accuracy.





2021 7th International Conference on Event Based Control, Communication, and Signal Processing (EBCCSP)

Author : IEEE Staff

Publisher :

Page : pages

File Size : 12,58 MB

Release : 2021-06-22

Category :

ISBN : 9781665436984

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Book Description

The aim of the EBCCSP 2021 conference is to bring together researchers and practitioners from the industry and academia and provide them with a platform to report on recent advances and developments in the event based systems and architectures applied in wide spectrum of engineering disciplines including control, communication and signal processing