Social Sensing And Big Data Computing For Disaster Management

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Social Sensing and Big Data Computing for Disaster Management

Zhenlong Li,Qunying Huang,Christopher T. Emrich
Social Sensing and Big Data Computing for Disaster Management Book PDF

Author : Zhenlong Li,Qunying Huang,Christopher T. Emrich
Publisher : Routledge
Page : 205 pages
File Size : 52,7 Mb
Release : 2020-12-17
Category : Social Science
ISBN : 9781000261493

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Social Sensing and Big Data Computing for Disaster Management by Zhenlong Li,Qunying Huang,Christopher T. Emrich Pdf

Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Social Sensing and Big Data Computing for Disaster Management

Zhenlong Li,Qunying Huang,Christopher T Emrich
Social Sensing and Big Data Computing for Disaster Management Book PDF

Author : Zhenlong Li,Qunying Huang,Christopher T Emrich
Publisher : Routledge
Page : 0 pages
File Size : 43,9 Mb
Release : 2023-09-25
Category : Electronic
ISBN : 0367617676

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Social Sensing and Big Data Computing for Disaster Management by Zhenlong Li,Qunying Huang,Christopher T Emrich Pdf

Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Social Sensing and Big Data Computing for Disaster Management

Zhenlong Li,Qunying Huang,Christopher T. Emrich
Social Sensing and Big Data Computing for Disaster Management Book PDF

Author : Zhenlong Li,Qunying Huang,Christopher T. Emrich
Publisher : Routledge
Page : 233 pages
File Size : 47,6 Mb
Release : 2020-12-17
Category : Social Science
ISBN : 9781000261530

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Social Sensing and Big Data Computing for Disaster Management by Zhenlong Li,Qunying Huang,Christopher T. Emrich Pdf

Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data

Rajendra Akerkar
Big Data in Emergency Management Exploitation Techniques for Social and Mobile Data Book PDF

Author : Rajendra Akerkar
Publisher : Springer Nature
Page : 194 pages
File Size : 49,8 Mb
Release : 2020-09-14
Category : Computers
ISBN : 9783030480998

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Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data by Rajendra Akerkar Pdf

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community’s vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.

Cloud Computing in Remote Sensing

Lizhe Wang,Jining Yan,Yan Ma
Cloud Computing in Remote Sensing Book PDF

Author : Lizhe Wang,Jining Yan,Yan Ma
Publisher : CRC Press
Page : 293 pages
File Size : 50,8 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9780429949883

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Cloud Computing in Remote Sensing by Lizhe Wang,Jining Yan,Yan Ma Pdf

This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis

Big Data Computing for Geospatial Applications

Zhenlong Li,Wenwu Tang,Qunying Huang,Eric Shook,Qingfeng Guan
Big Data Computing for Geospatial Applications Book PDF

Author : Zhenlong Li,Wenwu Tang,Qunying Huang,Eric Shook,Qingfeng Guan
Publisher : MDPI
Page : 222 pages
File Size : 40,8 Mb
Release : 2020-11-23
Category : Science
ISBN : 9783039432448

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Big Data Computing for Geospatial Applications by Zhenlong Li,Wenwu Tang,Qunying Huang,Eric Shook,Qingfeng Guan Pdf

The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

5th World Congress on Disaster Management: Volume II

S. Anand Babu
5th World Congress on Disaster Management Volume II Book PDF

Author : S. Anand Babu
Publisher : Taylor & Francis
Page : 631 pages
File Size : 51,8 Mb
Release : 2022-09-21
Category : Social Science
ISBN : 9781000827477

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5th World Congress on Disaster Management: Volume II by S. Anand Babu Pdf

World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers and practitioners all around the world despite the prevalence of pandemic.

Big Crisis Data

Carlos Castillo
Big Crisis Data Book PDF

Author : Carlos Castillo
Publisher : Cambridge University Press
Page : 225 pages
File Size : 52,8 Mb
Release : 2016-07-04
Category : Computers
ISBN : 9781107135765

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Big Crisis Data by Carlos Castillo Pdf

Social media is invaluable during crises like natural disasters, but difficult to analyze. This book shows how computer science can help.

Urban Analytics with Social Media Data

Tan Yigitcanlar,Nayomi Kankanamge
Urban Analytics with Social Media Data Book PDF

Author : Tan Yigitcanlar,Nayomi Kankanamge
Publisher : CRC Press
Page : 416 pages
File Size : 55,5 Mb
Release : 2022-07-20
Category : Computers
ISBN : 9781000599688

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Urban Analytics with Social Media Data by Tan Yigitcanlar,Nayomi Kankanamge Pdf

The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

Using Crises and Disasters as Opportunities for Innovation and Improvement

Siyal, Saeed
Using Crises and Disasters as Opportunities for Innovation and Improvement Book PDF

Author : Siyal, Saeed
Publisher : IGI Global
Page : 344 pages
File Size : 51,5 Mb
Release : 2023-11-27
Category : Social Science
ISBN : 9781668495230

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Using Crises and Disasters as Opportunities for Innovation and Improvement by Siyal, Saeed Pdf

The COVID-19 pandemic has presented unprecedented challenges for individuals, societies, and economies around the world. But it has also presented opportunities for growth and improvement in various domains. In this book, Dr. Saeed Siyal, an expert in management science, provides a comprehensive explanation for why pandemics and similar crises are both detrimental and simultaneously prompt long-needed change. Through a thorough analysis of the impacts of the COVID-19 pandemic, Dr. Saeed Siyal explores the ways in which it has forced individuals, organizations, and governments to adapt and find new solutions to the problems we face, many of which were exacerbated by the crisis. Using Crises and Disasters as Opportunities for Innovation and Improvement covers a range of topics, including healthcare, remote work, education, environment, and social connections, and provides evidence-based insights and practical solutions for adapting to the challenges and opportunities of COVID-19. This book is a must-read for anyone interested in advancing the standards of their organizations and making a positive impact on society. It is designed for managers, leaders, corporate sectors, MNCs, SMEs, academicians, and policymakers.

Social Sensing

Dong Wang,Tarek Abdelzaher,Lance Kaplan
Social Sensing Book PDF

Author : Dong Wang,Tarek Abdelzaher,Lance Kaplan
Publisher : Morgan Kaufmann
Page : 232 pages
File Size : 54,7 Mb
Release : 2015-04-17
Category : Computers
ISBN : 9780128011317

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Social Sensing by Dong Wang,Tarek Abdelzaher,Lance Kaplan Pdf

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book

Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Mayank Dave,Ritu Garg,Mohit Dua,Jemal Hussien
Proceedings of the International Conference on Paradigms of Computing Communication and Data Sciences Book PDF

Author : Mayank Dave,Ritu Garg,Mohit Dua,Jemal Hussien
Publisher : Springer Nature
Page : 1001 pages
File Size : 46,6 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9789811575334

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Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences by Mayank Dave,Ritu Garg,Mohit Dua,Jemal Hussien Pdf

This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1–3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

Geological Disaster Monitoring Based on Sensor Networks

Tariq S. Durrani,Wei Wang,Sheila M Forbes
Geological Disaster Monitoring Based on Sensor Networks Book PDF

Author : Tariq S. Durrani,Wei Wang,Sheila M Forbes
Publisher : Springer
Page : 214 pages
File Size : 43,5 Mb
Release : 2018-08-09
Category : Science
ISBN : 9789811309922

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Geological Disaster Monitoring Based on Sensor Networks by Tariq S. Durrani,Wei Wang,Sheila M Forbes Pdf

This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigation.

Advanced Computing Strategies for Engineering

Ian F. C. Smith,Bernd Domer
Advanced Computing Strategies for Engineering Book PDF

Author : Ian F. C. Smith,Bernd Domer
Publisher : Springer
Page : 488 pages
File Size : 49,6 Mb
Release : 2018-06-09
Category : Computers
ISBN : 9783319916385

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Advanced Computing Strategies for Engineering by Ian F. C. Smith,Bernd Domer Pdf

This double volume set ( LNAI 10863-10864) constitutes the refereed proceedings of the 25th International Workshop, EG-ICE 2018, held in Lausanne, Switzerland, in June 2018. The 58 papers presented in this volume were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on Advanced Computing in Engineering, Computer Supported Construction Management, Life-Cycle Design Support, Monitoring and Control Algorithms in Engineering, and BIM and Engineering Ontologies.

Applications of Big Data Analytics

Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Applications of Big Data Analytics Book PDF

Author : Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya
Publisher : Springer
Page : 214 pages
File Size : 55,8 Mb
Release : 2018-07-23
Category : Computers
ISBN : 9783319764726

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Applications of Big Data Analytics by Mohammed M. Alani,Hissam Tawfik,Mohammed Saeed,Obinna Anya Pdf

This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.