Описание: Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT.
Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.
Описание: Part I Methodologies and Enabling TechnologiesIndustrial digitisation and maintenance: Present and Future A hybrid cloud-to-edge predictive maintenance platform Data-driven predictive maintenance: a methodology primer Services to facilitate predictive maintenance in Industry4.0 Part II Industrial use-cases Predictive analytics in robotic industry Remote condition monitoring and control for maintenance activities Estimating remaining useful life: a data-driven methodology for the white goods industryPredictive analytics in the production of elevators Predictive maintenance in the production of steel bars: a data-driven approachIn-situ Monitoring of Additive Manufacturing Glossary
Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.
Автор: Frada Burstein; Clyde W. Holsapple Название: Handbook on Decision Support Systems 1 ISBN: 3662501031 ISBN-13(EAN): 9783662501030 Издательство: Springer Рейтинг: Цена: 38992.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is to survey the decision support system (DSS) field - covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues.
Описание: As editors of this volume we would like to express our gratitude to the contributing authors who have delivered these highly relevant and inspiring chapters and to the international scientific committee for their help in the review and editing. Special thanks go to our colleagues Mandy van de Sande, Marlyn Aretz, and Leo van Veghel, who were great in organising the conference and took care of everything that made it a pleasant and comfortable event. Eindhoven, July 2004 Jos van Leeuwen and Harry Timmermans Conference Chairs x DDSS 2004 INTERNATIONAL SCIENTIFIC COMMITTEE Alan Bridges, UK Kees Dorst, NL Aleksander Asanowicz, PL Luca Caneparo, IT Aloys Borgers, NL Mark Clayton, USA Anders Ekholm, SE Mark Gross, USA Andy Brown, UK Michael Batty, UK Anthony Yeh, HK Milton Tan, SG Ardeshir Mahdavi, AT Mitsuo Morozumi, JP Atsuyuki Okabe, JP Nancy Cheng, USA Bauke de Vries, NL Omer Akin, USA Bob Martens, AT Philip Steadman, UK Dirk Donath, DE Pierre Leclercq, BE Frances Brazier, NL Ray Wyatt, AU Gilles Halin, FR Richard Klosterman, USA Guilermo V squez de Velasco, USA Rivka Oxman, IL Hannu Penttila, FI Robert Woodbury, CA Henri Achten, NL Sevil Sariyildiz, NL Jin-Yeu Tsou, HK Sheng-Fen Chien, TW Joachim Kieferle, DE Stefania Bandini, IT Johan Verbeke, BE Tay-Sheng Jeng, TW John Stillwell, UK Theo Arentze, NL Jos Duarte, PT Thomas Kvan, HK Jos K s, BR Wassim Jabi, USA INTRODUCTION The International Conference on Design & Decision Support Systems in Architecture and Urban Planning is organised bi-annually by the Eindhoven
Автор: Arun Kumar Sangaiah; Ajith Abraham; Patrick Siarry Название: Intelligent Decision Support Systems for Sustainable Computing ISBN: 3319531522 ISBN-13(EAN): 9783319531526 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Описание: This cookbook will guide you through recipes for implementing analytics over data streams to discover new information, predict future insights, and make informed decisions. In addition to exploring an overview of AI techniques for analytics and learning in IoT applications, you`ll gain the skills you need to effectively package and deploy AI apps.
Описание: Decision-making is the best way to actively improve anything in your personal and professional life, or in any business or organization. This book presents and illustrates several fundamental ideas and offers procedures that nudge you to improve your decision-making skills and guide you to make smarter decisions.
Описание: Intelligent Decision Support Systems for Sustainable Computing.- A Genetic Algorithm based Efficient Load Distribution Strategy for Handling Large Scale Workloads on Sustainable Computing Systems.- Efficiency in Energy Decision Support Systems using Soft Computing Techniques.- Computational Intelligence Based Heuristic Approach for Maximizing Energy Efficiency in Internet of Things.- Distributed Algorithm with Inherent Intelligence for Multi-Cloud Resource Provisioning.- Parameter Optimization methods based on Computational Intelligence Techniques in Context of Sustainable Computing.- The Maximum Power Point tracking using Fuzzy Logic Algorithm for DC Motor based Conveyor System.- Differential Evolution Based Significant Data Region Identification on Large Storage Drives.- A Fuzzy Based Power Switching Selection for Residential Application to beat Peak Time Power Demand.- Energy Saving Using Memorization: A Novel Energy-Efficient and Fault Tolerant Algorithm.- Analyzing Slavic Textual Sentiment using Deep Convolutional Neural Networks.- Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard.- Analysis of Error Propagation in Safety Critical Software Systems: An Approach based on UGF.- A Framework for Analyzing Uncertainty in Data using Computational Intelligence Techniques.-
Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.
Описание: While many social, economic, and political changes have occurred recently in internet public procurement and its decision support systems, there is still a lot of opportunity for improvement. <br><br><em>Public Sector Transformation Processes and Internet Public Procurement: Decision Support Systems</em> brings together research on different perspectives from academics and practitioners on the methods, theories, and practices involved in the growth and expansion of decision support systems as it relates to the public sector transformation process and internet public procurement.
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