Emergency Alert and Warning Systems
Emergency Alert and Warning Systems

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-04-19

Total Pages: 143

ISBN-13: 0309467403

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Following a series of natural disasters, including Hurricane Katrina, that revealed shortcomings in the nation's ability to effectively alert populations at risk, Congress passed the Warning, Alert, and Response Network (WARN) Act in 2006. Today, new technologies such as smart phones and social media platforms offer new ways to communicate with the public, and the information ecosystem is much broader, including additional official channels, such as government social media accounts, opt-in short message service (SMS)-based alerting systems, and reverse 911 systems; less official channels, such as main stream media outlets and weather applications on connected devices; and unofficial channels, such as first person reports via social media. Traditional media have also taken advantage of these new tools, including their own mobile applications to extend their reach of beyond broadcast radio, television, and cable. Furthermore, private companies have begun to take advantage of the large amounts of data about users they possess to detect events and provide alerts and warnings and other hazard-related information to their users. More than 60 years of research on the public response to alerts and warnings has yielded many insights about how people respond to information that they are at risk and the circumstances under which they are most likely to take appropriate protective action. Some, but not all, of these results have been used to inform the design and operation of alert and warning systems, and new insights continue to emerge. Emergency Alert and Warning Systems reviews the results of past research, considers new possibilities for realizing more effective alert and warning systems, explores how a more effective national alert and warning system might be created and some of the gaps in our present knowledge, and sets forth a research agenda to advance the nation's alert and warning capabilities.

Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders
Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2020-01-03

Total Pages: 464

ISBN-13: 179982537X

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During emergency situations, society relies upon the efficient response time and effective services of emergency facilities that include fire departments, law enforcement, search and rescue, and emergency medical services (EMS). As such, it is imperative that emergency crews are outfitted with technologies that can cut response time and can also predict where such events may occur and prevent them from happening. The safety of first responders is also of paramount concern. New tools can be implemented to map areas of vulnerability for emergency responders, and new strategies can be devised in their training to ensure that they are conditioned to respond efficiently to an emergency and also conscious of best safety protocols. Improving the Safety and Efficiency of Emergency Services: Emerging Tools and Technologies for First Responders addresses the latest tools that can support first responders in their ultimate goal: delivering their patients to safety. It also explores how new techniques and devices can support first responders in their work by addressing their safety, alerting them to accidents in real time, connecting them with medical experts to improve the chances of survival of critical patients, predicting criminal and terrorist activity, locating missing persons, and allocating resources. Highlighting a range of topics such as crisis management, medical/fire emergency warning systems, and predictive policing technologies, this publication is an ideal reference source for law enforcement, emergency professionals, medical professionals, EMTs, fire departments, government officials, policymakers, IT consultants, technology developers, academicians, researchers, and students.

Risk Analysis
Risk Analysis

Author: Constantine Zervos

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 739

ISBN-13: 1489907300

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This volume of the series Advances in Risk Analysis consists of papers presented at the 1988 Annual Meeting of the Society for Risk Analysis, which was held October 30 through November 2 at the Mayflower Hotel in Washington, DC. The papers span the gamut of the increasing number of risk assessment topics addressed by the Society since it held its fIrst annual meeting in June 1981, also in Washington DC. Organized to promote interdisciplinary analyses, the Society approaches risks from three broad perspectives: (1) the impact of various risks on the health of the world's populations and on the environment; (2) the social and political implications of specifIc risks, and (3) the management and reduction of risks through the development of a risk analysis methodology and corresponding data bases. The papers included in this volume typify these three approaches and illustrate their interdependence. For example, both cancer and noncancer health risks are examined for a variety of situations that exist within society. The public's perception of risks and the correlation between that perception and the acceptance or nonacceptance of certain risks is also addressed. In addition, the progress to date on predicting and quantifying specifIc risks, including the risks associated with the construction and use of large engineered systems, is reported. Included among the papers are several dealing with recent current issues, such as the impact of California's Proposition 65, hazardous waste disposal, and chemical accidents.

Design and Development of Efficient Energy Systems
Design and Development of Efficient Energy Systems

Author: Suman Lata Tripathi

Publisher: John Wiley & Sons

Published: 2021-03-16

Total Pages: 384

ISBN-13: 1119761778

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There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society. This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation. The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.

Efficient Decision Support Systems
Efficient Decision Support Systems

Author: Chiang Jao

Publisher: BoD – Books on Demand

Published: 2011-09-06

Total Pages: 344

ISBN-13: 953307258X

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This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers.

Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents
Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents

Author: Wenmei Gai

Publisher: Springer

Published: 2018-11-03

Total Pages: 177

ISBN-13: 9811328714

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This book highlights cutting-edge research into emergency early warning management and decision-making for severe accidents. Using toxic gas leakages as examples, it puts forward new design methods for emergency early warning systems, as well as a systematic description of emergency early warning information communication mechanisms and characteristics of regional evacuation, based on a wide range of theories, including safety engineering, information engineering, communication, behaviorology and others. The book applies a range of methods, such as case analysis, questionnaire interviews, and multi-objective optimization modeling. Drawing on this basis, it subsequently proposes a multi-objective optimization modeling and algorithm for emergency path selection, together with an evacuation risk assessment method. Divided into six chapters prepared by an international team of researchers, the book addresses the design of early warning systems, communication and dissemination mechanisms of early warning information, characteristics of regional evacuation, multi-objective optimization of emergency paths, and evacuation risk assessment. The book offers an essential reference guide for engineering technicians and researchers in a wide range of fields, including emergency management, safety science and engineering, disaster relief engineering, and transportation optimization, as well as graduate students in related majors at colleges and universities.

Internet of Things and Machine Learning for Type I and Type II Diabetes
Internet of Things and Machine Learning for Type I and Type II Diabetes

Author: Sujata Dash

Publisher: Elsevier

Published: 2024-07-07

Total Pages: 450

ISBN-13: 0323956939

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Internet of Things and Machine Learning for?Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. - Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge - It integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative data - Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings

Hospital-Based Emergency Care
Hospital-Based Emergency Care

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2007-05-03

Total Pages: 424

ISBN-13: 0309133777

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Today our emergency care system faces an epidemic of crowded emergency departments, patients boarding in hallways waiting to be admitted, and daily ambulance diversions. Hospital-Based Emergency Care addresses the difficulty of balancing the roles of hospital-based emergency and trauma care, not simply urgent and lifesaving care, but also safety net care for uninsured patients, public health surveillance, disaster preparation, and adjunct care in the face of increasing patient volume and limited resources. This new book considers the multiple aspects to the emergency care system in the United States by exploring its strengths, limitations, and future challenges. The wide range of issues covered includes: • The role and impact of the emergency department within the larger hospital and health care system. • Patient flow and information technology. • Workforce issues across multiple disciplines. • Patient safety and the quality and efficiency of emergency care services. • Basic, clinical, and health services research relevant to emergency care. • Special challenges of emergency care in rural settings. Hospital-Based Emergency Care is one of three books in the Future of Emergency Care series. This book will be of particular interest to emergency care providers, professional organizations, and policy makers looking to address the deficiencies in emergency care systems.

Human-Automation Interaction
Human-Automation Interaction

Author: Vincent G. Duffy

Publisher: Springer Nature

Published: 2022-12-14

Total Pages: 659

ISBN-13: 3031107888

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This book provides practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines. This initiative is a celebration of the Gavriel Salvendy International Symposium (GSIS) and provides a survey of topics and emerging areas of interest in human–automation interaction. This set of articles for the GSIS emphasizes a main thematic areas: mobile computing. Main areas of coverage include Section A: Health, Care and Assistive Technologies; Section B: Usability, User Experience and Design; Section C: Virtual Learning, Training and Collaboration; Section D: Ergonomics in Work, Automation and Production. In total, there are more than 600 pages emphasizing contributions from especially early career researchers that were featured as part of this (virtual) symposium and celebration. Gavriel Salvendy initiated the conferences that run annually as Human–Computer Interaction within LNCS of Springer and Applied Human Factors and Ergonomics International (AHFE). The book is inclusive of human–computer interaction and human factors and ergonomics principles, yet is intended to serve a much wider audience that has interest in automation and human modeling. The emerging need for human–automation interaction expertise has developed from an ever-growing availability and presence of automation in our everyday lives. This initiative is intended to provide practical guidance and awareness for a growing body of knowledge developing across a variety of disciplines and many countries.