Photoplethysmography

Photoplethysmography

Author: Panicos A. Kyriacou

Publisher: Academic Press

Published: 2021-11-03

Total Pages: 508

ISBN-13: 012823525X

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Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment. - Presents the underlying principles and technology surrounding PPG - Includes applications for healthcare and wellbeing - Focuses on PPG in wearable sensors and devices - Presents advanced signal analysis techniques - Includes cutting-edge research, applications and future directions


Handbook of Photovoltaic Science and Engineering

Handbook of Photovoltaic Science and Engineering

Author: Antonio Luque

Publisher: John Wiley & Sons

Published: 2011-01-31

Total Pages: 1172

ISBN-13: 0470721693

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The most comprehensive, authoritative and widely cited reference on photovoltaic solar energy Fully revised and updated, the Handbook of Photovoltaic Science and Engineering, Second Edition incorporates the substantial technological advances and research developments in photovoltaics since its previous release. All topics relating to the photovoltaic (PV) industry are discussed with contributions by distinguished international experts in the field. Significant new coverage includes: three completely new chapters and six chapters with new authors device structures, processing, and manufacturing options for the three major thin film PV technologies high performance approaches for multijunction, concentrator, and space applications new types of organic polymer and dye-sensitized solar cells economic analysis of various policy options to stimulate PV growth including effect of public and private investment Detailed treatment covers: scientific basis of the photovoltaic effect and solar cell operation the production of solar silicon and of silicon-based solar cells and modules how choice of semiconductor materials and their production influence costs and performance making measurements on solar cells and modules and how to relate results under standardised test conditions to real outdoor performance photovoltaic system installation and operation of components such as inverters and batteries. architectural applications of building-integrated PV Each chapter is structured to be partially accessible to beginners while providing detailed information of the physics and technology for experts. Encompassing a review of past work and the fundamentals in solar electric science, this is a leading reference and invaluable resource for all practitioners, consultants, researchers and students in the PV industry.


Hybrid Learning and Continuing Education

Hybrid Learning and Continuing Education

Author: Simon K.S. Cheung

Publisher: Springer

Published: 2013-08-13

Total Pages: 424

ISBN-13: 3642397506

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This book constitutes the refereed proceedings of the 6th International Conference on Hybrid Learning, ICHL 2013, held in Toronto, ON, Canada, in August 2013. The 35 papers presented in this volume were carefully reviewed and selected from numerous submissions. The selected articles broadly cover topics on hybrid learning and continuing education, including computer supported collaborative learning, experiences in hybrid learning, pedagogical and psychological issues, e-learning and mobile learning, open education resources and open online courses, and issues in hybrid learning and continuing education.


Recent Advances on Soft Computing and Data Mining

Recent Advances on Soft Computing and Data Mining

Author: Rozaida Ghazali

Publisher: Springer Nature

Published: 2019-12-04

Total Pages: 491

ISBN-13: 3030360563

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This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.


Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

Author: Tran Khanh Dang

Publisher: Springer

Published: 2021-11-14

Total Pages: 498

ISBN-13: 9789811680618

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This book constitutes the proceedings of the 8th International Conference on Future Data and Security Engineering, FDSE 2021, held in Ho Chi Minh City, Vietnam, in November 2021.* The 28 full papers and 8 short were carefully reviewed and selected from 168 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; blockchain and access control; data analytics and healthcare systems; and short papers: security and data engineering. * The conference was held virtually due to the COVID-19 pandemic.


Reliability, Safety and Hazard Assessment for Risk-Based Technologies

Reliability, Safety and Hazard Assessment for Risk-Based Technologies

Author: Prabhakar V. Varde

Publisher: Springer Nature

Published: 2019-08-30

Total Pages: 988

ISBN-13: 9811390088

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This volume presents selected papers from the International Conference on Reliability, Safety, and Hazard. It presents the latest developments in reliability engineering and probabilistic safety assessment, and brings together contributions from a diverse international community and covers all aspects of safety, reliability, and hazard assessment across a host of interdisciplinary applications. This book will be of interest to researchers in both academia and the industry.


Telematics and Computing

Telematics and Computing

Author: Miguel Felix Mata-Rivera

Publisher: Springer Nature

Published: 2019-10-24

Total Pages: 381

ISBN-13: 3030332292

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This book constitutes the thoroughly refereed proceedings of the 8th International Congress on Telematics and Computing, WITCOM 2019, held in Merida, Mexico, in November 2019. The 31 full papers presented in this volume were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections: ​GIS & climate change; telematics & electronics; artificial intelligence & machine learning; software engineering & education; internet of things; and informatics security.


Enabling Manufacturing Competitiveness and Economic Sustainability

Enabling Manufacturing Competitiveness and Economic Sustainability

Author: Hoda A. ElMaraghy

Publisher: Springer Science & Business Media

Published: 2011-09-29

Total Pages: 674

ISBN-13: 3642238602

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The changing manufacturing environment requires more responsive and adaptable manufacturing systems. The theme of the 4th International Conference on Changeable, Agile, Reconfigurable and Virtual production (CARV2011) is “Enabling Manufacturing Competitiveness and Economic Sustainability”. Leading edge research and best implementation practices and experiences, which address these important issues and challenges, are presented. The proceedings include advances in manufacturing systems design, planning, evaluation, control and evolving paradigms such as mass customization, personalization, changeability, re-configurability and flexibility. New and important concepts such as the dynamic product families and platforms, co-evolution of products and systems, and methods for enhancing manufacturing systems’ economic sustainability and prolonging their life to produce more than one product generation are treated. Enablers of change in manufacturing systems, production volume and capability scalability and managing the volatility of markets, competition among global enterprises and the increasing complexity of products, manufacturing systems and management strategies are discussed. Industry challenges and future directions for research and development needed to help both practitioners and academicians are presented.


Intelligent and Cloud Computing

Intelligent and Cloud Computing

Author: Debahuti Mishra

Publisher: Springer Nature

Published: 2020-10-30

Total Pages: 834

ISBN-13: 9811559716

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This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.