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    Computer Vision and Audition in Urban Analysis Using the Remorph Framework
    Challenges and Trends in Multimodal Fall Detection for Healthcare
    Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
    Ebook series4 titles

    Studies in Systems, Decision and Control Series

    By Nishchal K. Verma, Xiao-Heng Chang, Isabella Corradini and

    ()

    About this series

    This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology.

    The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including:

    • deep learning;
    • artificial intelligence;
    • applications of game theory;
    • mixed modality learning; and
    • multi-agent reinforcement learning.

    Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative. 

    LanguageEnglish
    PublisherSpringer
    Release dateMay 2, 2014
    Computer Vision and Audition in Urban Analysis Using the Remorph Framework
    Challenges and Trends in Multimodal Fall Detection for Healthcare
    Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

    Titles in the series (4)

    • 7

      Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
      Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

      Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

      Xiao-Heng Chang
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      "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.

      "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique. Though primarily intended for graduate students in control and filtering, the book can also serve as a valuable reference work for researchers wishing to explore the area of robust H-infinity control and filtering of uncertain systems. Dr. Xiao-Heng Chang is a Professor at the College of Engineering, Bohai University, China.

    • 192

      Computer Vision and Audition in Urban Analysis Using the Remorph Framework
      Computer Vision and Audition in Urban Analysis Using the Remorph Framework

      Computer Vision and Audition in Urban Analysis Using the Remorph Framework

      Mohammad Ali Nematollahi
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      Artificial Intelligence (AI) is penetrating in all sciences as a multidisciplinary approach. However, adopting the theory of AI including computer vision and computer audition to urban intellectual space, is always difficult for architecture and urban planners. This book overcomes this challenge through a conceptual framework by merging computer vision and audition to urban studies based on a series of workshops called Remorph, conducted by Tehran Urban Innovation Center (TUIC).

      Artificial Intelligence (AI) is penetrating in all sciences as a multidisciplinary approach. However, adopting the theory of AI including computer vision and computer audition to urban intellectual space, is always difficult for architecture and urban planners. This book overcomes this challenge through a conceptual framework by merging computer vision and audition to urban studies based on a series of workshops called Remorph, conducted by Tehran Urban Innovation Center (TUIC).

    • 273

      Challenges and Trends in Multimodal Fall Detection for Healthcare
      Challenges and Trends in Multimodal Fall Detection for Healthcare

      Challenges and Trends in Multimodal Fall Detection for Healthcare

      Hiram Ponce
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      This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples.  This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.

      This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples.  This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, human–machine interaction, among others.

    • 284

      Building a Cybersecurity Culture in Organizations: How to Bridge the Gap Between People and Digital Technology
      Building a Cybersecurity Culture in Organizations: How to Bridge the Gap Between People and Digital Technology

      Building a Cybersecurity Culture in Organizations: How to Bridge the Gap Between People and Digital Technology

      Isabella Corradini
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      0 ratings

      This book offers a practice-oriented guide to developing an effective cybersecurity culture in organizations. It provides a psychosocial perspective on common cyberthreats affecting organizations, and presents practical solutions for leveraging employees’ attitudes and behaviours in order to improve security. Cybersecurity, as well as the solutions used to achieve it, has largely been associated with technologies. In contrast, this book argues that cybersecurity begins with improving the connections between people and digital technologies. By presenting a comprehensive analysis of the current cybersecurity landscape, the author discusses, based on literature and her personal experience, human weaknesses in relation to security and the advantages of pursuing a holistic approach to cybersecurity, and suggests how to develop cybersecurity culture in practice.  Organizations canimprove their cyber resilience by adequately training their staff. Accordingly, the book also describes a set of training methods and tools. Further, ongoing education programmes and effective communication within organizations are considered, showing that they can become key drivers for successful cybersecurity awareness initiatives. When properly trained and actively involved, human beings can become the true first line of defence for every organization. 

      This book offers a practice-oriented guide to developing an effective cybersecurity culture in organizations. It provides a psychosocial perspective on common cyberthreats affecting organizations, and presents practical solutions for leveraging employees’ attitudes and behaviours in order to improve security. Cybersecurity, as well as the solutions used to achieve it, has largely been associated with technologies. In contrast, this book argues that cybersecurity begins with improving the connections between people and digital technologies. By presenting a comprehensive analysis of the current cybersecurity landscape, the author discusses, based on literature and her personal experience, human weaknesses in relation to security and the advantages of pursuing a holistic approach to cybersecurity, and suggests how to develop cybersecurity culture in practice.  Organizations canimprove their cyber resilience by adequately training their staff. Accordingly, the book also describes a set of training methods and tools. Further, ongoing education programmes and effective communication within organizations are considered, showing that they can become key drivers for successful cybersecurity awareness initiatives. When properly trained and actively involved, human beings can become the true first line of defence for every organization. 

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