Social Sensing

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

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  • Author : Dong Wang
  • Publisher : Morgan Kaufmann
  • Pages : 232 pages
  • ISBN : 0128011319
  • Rating : 5/5 from 1 reviews
CLICK HERE TO GET THIS BOOKSocial Sensing

Social Sensing

Social Sensing
  • Author : Dong Wang,Tarek Abdelzaher,Lance Kaplan
  • Publisher : Morgan Kaufmann
  • Release : 17 April 2015
GET THIS BOOKSocial Sensing

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

Social Sensing and Big Data Computing for Disaster Management

Social Sensing and Big Data Computing for Disaster Management
  • Author : Zhenlong Li,Qunying Huang,Christopher T. Emrich
  • Publisher : Routledge
  • Release : 17 December 2020
GET THIS BOOKSocial Sensing and Big Data Computing for Disaster Management

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

Vehicular Social Networks

Vehicular Social Networks
  • Author : Anna Maria Vegni,Valeria Loscrì,Athanasios V. Vasilakos
  • Publisher : CRC Press
  • Release : 31 March 2017
GET THIS BOOKVehicular Social Networks

The book provides a comprehensive guide to vehicular social networks. The book focuses on a new class of mobile ad hoc networks that exploits social aspects applied to vehicular environments. Selected topics are related to social networking techniques, social-based routing techniques applied to vehicular networks, data dissemination in VSNs, architectures for VSNs, and novel trends and challenges in VSNs. It provides significant technical and practical insights in different aspects from a basic background on social networking, the inter-related technologies and

The Art of Wireless Sensor Networks

The Art of Wireless Sensor Networks
  • Author : Habib M. Ammari
  • Publisher : Springer Science & Business Media
  • Release : 17 December 2013
GET THIS BOOKThe Art of Wireless Sensor Networks

During the last one and a half decades, wireless sensor networks have witnessed significant growth and tremendous development in both academia and industry. A large number of researchers, including computer scientists and engineers, have been interested in solving challenging problems that span all the layers of the protocol stack of sensor networking systems. Several venues, such as journals, conferences, and workshops, have been launched to cover innovative research and practice in this promising and rapidly advancing field. Because of these

People Analytics

People Analytics
  • Author : Ben Waber
  • Publisher : FT Press
  • Release : 24 April 2013
GET THIS BOOKPeople Analytics

Discover powerful hidden social "levers" and networks within your company… then, use that knowledge to make slight "tweaks" that dramatically improve both business performance and employee fulfillment! In People Analytics, MIT Media Lab innovator Ben Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Through cutting-edge case studies, Waber shows how: Changing the way call center employees spent

Urban Remote Sensing

Urban Remote Sensing
  • Author : Xiaojun X. Yang
  • Publisher : John Wiley & Sons
  • Release : 18 October 2021
GET THIS BOOKUrban Remote Sensing

The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability

Internet of Things and Sensor Network for COVID-19

Internet of Things and Sensor Network for COVID-19
  • Author : Siba Kumar Udgata,Nagender Kumar Suryadevara
  • Publisher : Springer Nature
  • Release : 22 July 2020
GET THIS BOOKInternet of Things and Sensor Network for COVID-19

This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor

Managing and Mining Sensor Data

Managing and Mining Sensor Data
  • Author : Charu C. Aggarwal
  • Publisher : Springer Science & Business Media
  • Release : 15 January 2013
GET THIS BOOKManaging and Mining Sensor Data

Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into

Social Sensing and Big Data Computing for Disaster Management

Social Sensing and Big Data Computing for Disaster Management
  • Author : Zhenlong Li,Qunying Huang,Christopher T. Emrich
  • Publisher : Routledge
  • Release : 18 December 2020
GET THIS BOOKSocial Sensing and Big Data Computing for Disaster Management

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

Big Data

Big Data
  • Author : Fei Hu
  • Publisher : CRC Press
  • Release : 27 April 2016
GET THIS BOOKBig Data

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi

Cyber-Physical Systems

Cyber-Physical Systems
  • Author : Houbing Song,Danda B Rawat,Sabina Jeschke,Christian Brecher
  • Publisher : Morgan Kaufmann
  • Release : 27 August 2016
GET THIS BOOKCyber-Physical Systems

Cyber-Physical Systems: Foundations, Principles and Applications explores the core system science perspective needed to design and build complex cyber-physical systems. Using Systems Science’s underlying theories, such as probability theory, decision theory, game theory, organizational sociology, behavioral economics, and cognitive psychology, the book addresses foundational issues central across CPS applications, including System Design -- How to design CPS to be safe, secure, and resilient in rapidly evolving environments, System Verification -- How to develop effective metrics and methods to verify

Trends and Challenges in Digital Business Innovation

Trends and Challenges in Digital Business Innovation
  • Author : Vincenzo Morabito
  • Publisher : Springer Science & Business Media
  • Release : 04 February 2014
GET THIS BOOKTrends and Challenges in Digital Business Innovation

This book describes the trends in digital innovation that are of most importance for businesses and explores the key challenges. The book is in three parts, the first of which focuses on developments in digital systems. Here, the ever-growing relevance of big data, cloud computing, and mobile services for business is discussed, and detailed consideration is given to the importance of social listening for understanding user behavior and needs and the implications of IT consumerization. In the second part, trends

Human-Computer Interaction – INTERACT 2019

Human-Computer Interaction – INTERACT 2019
  • Author : David Lamas,Fernando Loizides,Lennart Nacke,Helen Petrie,Marco Winckler,Panayiotis Zaphiris
  • Publisher : Springer Nature
  • Release : 28 August 2019
GET THIS BOOKHuman-Computer Interaction – INTERACT 2019

The four-volume set LNCS 11746–11749 constitutes the proceedings of the 17th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2019, held in Paphos, Cyprus, in September 2019. The total of 111 full papers presented together with 55 short papers and 48 other papers in these books was carefully reviewed and selected from 385 submissions. The contributions are organized in topical sections named: Part I: accessibility design principles; assistive technology for cognition and neurodevelopment disorders; assistive technology for mobility and rehabilitation; assistive technology for visually impaired; co-design and

Global Business Analytics Models

Global Business Analytics Models
  • Author : Hokey Min
  • Publisher : FT Press
  • Release : 05 March 2016
GET THIS BOOKGlobal Business Analytics Models

THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min