Use Of Ai And Robotics In Disaster Management

Author : T. V. Vijay Kumar
Publisher : Springer Nature
ISBN 13 : 9811542910
Total Pages : 267 pages
Book Rating : 4.16/5 ( download)

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Download or read book AI and Robotics in Disaster Studies written by T. V. Vijay Kumar and published by Springer Nature. This book was released on 2020-10-12 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.

Author :
Publisher :
ISBN 13 : 9781642247091
Total Pages : 460 pages
Book Rating : 4.9X/5 ( download)

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Download or read book Use of AI and Robotics in Disaster Management written by and published by . This book was released on 2020-11 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human life is at risk because of human actions and natural disasters. Natural disasters are imminent, and it is almost difficult to recover completely from the damage caused. Technology has become a solution to many longstanding issues, and while current technologies may be successful, they are far from completely solving the nuanced, complex, challenging, and daunting tasks connected with disaster missions and risky interventions. It is not enough to use ICT only in the process of disaster management, as the current and future period of innovation is Artificial Intelligence. It is also important to use artificial intelligence in the process of disaster management to reduce the loss of human life and to save time by using robots, drones, sensors, etc.Modern search and rescue workers are equipped with a powerful toolkit to address natural and man-made disasters. The first chapter, in this book, presents an introductory overview of how a new tool can be added to this toolkit: robots. The use of robotic assets in search and rescue operations is explained and an overview is given of the worldwide efforts to incorporate robotic tools in search and rescue operations. The second chapter categorizes the source of disasters and associated missions and highlights the needs for suitable and reliable technology and technical and functional requirements of robotic systems to fulfill task objectives. Additionally, the book presents up-to-date coverage on unmanned aerial systems; UAV- based photogrammetry and recomputing for hazards and disaster risk monitoring; unmanned ground robots for rescue tasks; crisis analytics: big data-driven crisis response; towards gas discrimination and mapping in emergency response scenarios using a mobile robot with an electronic nose; a survey on robot-assisted crowd evacuation under emergency situations; improved Bayesian network-based risk model and its application in disaster risk assessment; command and control systems for search and rescue robots; and overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network. Finally, the book describes how the different ICARUS unmanned search and rescue tools have been evaluated and validated using operational benchmarking techniques.

Author : Robin R. Murphy
Publisher : MIT Press
ISBN 13 : 0262321319
Total Pages : 241 pages
Book Rating : 4.10/5 ( download)

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Download or read book Disaster Robotics written by Robin R. Murphy and published by MIT Press. This book was released on 2014-02-14 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, authoritative, and accessible reference for disaster robotics that covers theory, specific deployments, and ground, air, and marine modalities. This book offers the definitive guide to the theory and practice of disaster robotics. It can serve as an introduction for researchers and technologists, a reference for emergency managers, and a textbook in field robotics. Written by a pioneering researcher in the field who has herself participated in fifteen deployments of robots in disaster response and recovery, the book covers theory and practice, the history of the field, and specific missions. After a broad overview of rescue robotics in the context of emergency informatics, the book provides a chronological summary and formal analysis of the thirty-four documented deployments of robots to disasters that include the 2001 collapse of the World Trade Center, Hurricane Katrina, the 2010 Haiti earthquake, the Deepwater Horizon oil spill, the 2011 Japanese earthquake and tsunami, and numerous mining accidents. It then examines disaster robotics in the typical robot modalities of ground, air, and marine, addressing such topics as robot types, missions and tasks, and selection heuristics for each modality. Finally, the book discusses types of fieldwork, providing practical advice on matters that include collecting data and collaborating with emergency professionals. The field of disaster robotics has lacked a comprehensive overview. This book by a leader in the field, offering a unique combination of the theoretical and the practical, fills the gap.

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.55/5 ( download)

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Download or read book Internet of Things and AI for Natural Disaster Management and Prediction written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-07 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.31/5 ( download)

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Download or read book Utilizing AI and Machine Learning for Natural Disaster Management written by Satishkumar, D. and published by IGI Global. This book was released on 2024-04-29 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage.

Author : Ouaissa, Mariyam
Publisher : IGI Global
ISBN 13 :
Total Pages : 317 pages
Book Rating : 4.71/5 ( download)

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Download or read book AI and IoT for Proactive Disaster Management written by Ouaissa, Mariyam and published by IGI Global. This book was released on 2024-05-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.19/5 ( download)

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Download or read book Predicting Natural Disasters With AI and Machine Learning written by Satishkumar, D. and published by IGI Global. This book was released on 2024-02-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.

Author : Multiple Authors
Publisher : BoD – Books on Demand
ISBN 13 : 9535133756
Total Pages : 264 pages
Book Rating : 4.59/5 ( download)

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Download or read book Search and Rescue Robotics written by Multiple Authors and published by BoD – Books on Demand. This book was released on 2017-08-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the event of large crises (earthquakes, typhoons, floods, ...), a primordial task of the fire and rescue services is the search for human survivors on the incident site. This is a complex and dangerous task, which - too often - leads to loss of lives among the human crisis managers themselves. This book explains how unmanned search can be added to the toolkit of the search and rescue workers, offering a valuable tool to save human lives and to speed up the search and rescue process. The introduction of robotic tools in the world of search and rescue is not straightforward, due to the fact that the search and rescue context is extremely technology-unfriendly, meaning that very robust solutions, which can be deployed extremely quickly, are required. Multiple research projects across the world are tackling this problem and in this book, a special focus is placed on showcasing the results of the European Union ICARUS project on this subject. The ICARUS project proposes to equip first responders with a comprehensive and integrated set of unmanned search and rescue tools, to increase the situational awareness of human crisis managers, so that more work can be done in a shorter amount of time. The ICARUS tools consist of assistive unmanned air, ground, and sea vehicles, equipped with victim-detection sensors. The unmanned vehicles collaborate as a coordinated team, communicating via ad hoc cognitive radio networking. To ensure optimal human-robot collaboration, these tools are seamlessly integrated into the command and control equipment of the human crisis managers and a set of training and support tools is provided to them in order to learn to use the ICARUS system. The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement number 285417. The publishing of this book was funded by the EC FP7 Post-Grant Open Access Pilot programme.

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.94/5 ( download)

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Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Author : Satoshi Tadokoro
Publisher : Springer Science & Business Media
ISBN 13 : 1848824742
Total Pages : 205 pages
Book Rating : 4.44/5 ( download)

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Download or read book Rescue Robotics written by Satoshi Tadokoro and published by Springer Science & Business Media. This book was released on 2009-04-15 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rescue Robotics presents the most significant findings of the DDT Project on robots and systems for urban search and rescue. This project was launched by the Japanese government in 2002 with the aim of applying a wide variety of robotics technologies to find a solution to the problem of disaster response, especially urban search and rescue in large-scale earthquakes. From 2002 to 2007 more than 100 researchers took part in the DDT Project, coming from a wide spectrum of research and development to make up four research groups: Aerial Robot Systems MU (Mission Unit), Information Infrastructure System MU, In-Rubble Robot System MU, and On-Rubble Robot System MU. This book discusses their development and testing of various robotic systems and technologies such as serpentine robots, traced vehicles, intelligent human interface and data processing, as well as analysing and verifying the results of these experiments. Rescue Robotics will be of interest to researchers and students, but will also prove useful for emergency response personnel. It offers an insight into the state of the art of rescue robotics and its readers will benefit from a knowledge of the advanced technologies involved in this field.