Crowd-Powered Mobile Computing and Smart Things

Crowd-Powered Mobile Computing and Smart Things
Author: Seng W. Loke
Publisher: Springer
Total Pages: 71
Release: 2017-02-27
Genre: Computers
ISBN: 3319544365

This SpringerBrief provides a synergistic overview of technology trends by emphasizing five linked perspectives: crowd+cloud machines, extreme cooperation with smart things, scalable context-awareness, drone services for mobile crowds and social links in mobile crowds. The authors also highlight issues and challenges at the intersection of these trends. Topics covered include cloud computing, Internet of Things, mobile and wearable computing, crowd computing, the culture of thing sharing, collective computing, and swarm dynamics. The brief is a useful resource and a starting point for researchers, students or anyone interested in the contemporary computing landscape.

The Automated City

The Automated City
Author: Seng W. Loke
Publisher: Springer Nature
Total Pages: 176
Release: 2021-09-01
Genre: Computers
ISBN: 3030823180

The book outlines the concept of the Automated City, in the context of smart city research and development. While there have been many other perspectives on the smart city such as the participatory city and the data-centric city, this book focuses on automation for the smart city based on current and emerging technologies such as the Internet of Things, Artificial Intelligence and Robotics. The book attempts to provide a balanced view, outlining the promises and potential of the Automated City as well as the perils and challenges of widespread automation in the city. The book discusses, at some depth, automated vehicles, urban robots and urban drones as emerging technologies that will automate many aspects of city life and operation, drawing on current work and research literature. The book also considers broader perspectives of the future city, in the context of automation in the smart city, including aspirational visions of cities, transportation, new business models, and socio-technological challenges, from urban edge computing, ethics of the Automated City and smart devices, to large scale cooperating autonomous systems in the city.

Smart Intelligent Computing and Applications

Smart Intelligent Computing and Applications
Author: Suresh Chandra Satapathy
Publisher: Springer
Total Pages: 720
Release: 2018-10-01
Genre: Technology & Engineering
ISBN: 9811319219

The proceedings covers advanced and multi-disciplinary research on design of smart computing and informatics. The theme of the book broadly focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solution to varied problems in society, environment and industries. The volume publishes quality work pertaining to the scope of the conference which is extended towards deployment of emerging computational and knowledge transfer approaches, optimizing solutions in varied disciplines of science, technology and healthcare.

Emerging Technologies in Data Mining and Information Security

Emerging Technologies in Data Mining and Information Security
Author: Ajith Abraham
Publisher: Springer
Total Pages: 872
Release: 2018-09-01
Genre: Technology & Engineering
ISBN: 9811315019

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Smart Computing Applications in Crowdfunding

Smart Computing Applications in Crowdfunding
Author: Bo Xing
Publisher: CRC Press
Total Pages: 533
Release: 2018-12-07
Genre: Business & Economics
ISBN: 1351265075

The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.

Smart Cities

Smart Cities
Author: Houbing Song
Publisher: John Wiley & Sons
Total Pages: 872
Release: 2017-06-21
Genre: Technology & Engineering
ISBN: 1119226430

Provides the foundations and principles needed for addressing the various challenges of developing smart cities Smart cities are emerging as a priority for research and development across the world. They open up significant opportunities in several areas, such as economic growth, health, wellness, energy efficiency, and transportation, to promote the sustainable development of cities. This book provides the basics of smart cities, and it examines the possible future trends of this technology. Smart Cities: Foundations, Principles, and Applications provides a systems science perspective in presenting the foundations and principles that span multiple disciplines for the development of smart cities. Divided into three parts—foundations, principles, and applications—Smart Cities addresses the various challenges and opportunities of creating smart cities and all that they have to offer. It also covers smart city theory modeling and simulation, and examines case studies of existing smart cities from all around the world. In addition, the book: Addresses how to develop a smart city and how to present the state of the art and practice of them all over the world Focuses on the foundations and principles needed for advancing the science, engineering, and technology of smart cities—including system design, system verification, real-time control and adaptation, Internet of Things, and test beds Covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and Intelligent Transportation Systems (ITS) for improved mobility, safety, and environmental protection Smart Cities: Foundations, Principles, and Applications is a welcome reference for the many researchers and professionals working on the development of smart cities and smart city-related industries.

Nanosensors for Smart Cities

Nanosensors for Smart Cities
Author: Baoguo Han
Publisher: Elsevier
Total Pages: 588
Release: 2020-02-13
Genre: Technology & Engineering
ISBN: 0128199237

Nanosensors for Smart Cities covers the fundamental design concepts and emerging applications of nanosensors for the creation of smart city infrastructures. Examples of major applications include logistics management, where nanosensors could be used in active transport tracking devices for smart tracking and tracing, and in agri-food productions, where nanosensors are used in nanochips for identity, and food inspection, and smart storage. This book is essential reading for researchers working in the field of advanced sensors technology, smart city technology and nanotechnology, and stakeholders involved in city management. Nanomaterials based sensors (nanosensors) can offer many advantages over their microcounterparts, including lower power consumption, high sensitivity, lower concentration of analytes, and smaller interaction distance between object and sensor. With the support of artificial intelligence (AI) tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient-intelligence, sensor systems are becoming smarter. - Provides information on the fabrication and fundamental design concepts of nanosensors for intelligent systems - Explores how nanosensors are being used to better monitor and maintain infrastructure services, including street lighting, traffic management and pollution control - Assesses the challenges for creating nanomaterials-enhanced sensors for mass-market consumer products

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies
Author: Soyata, Tolga
Publisher: IGI Global
Total Pages: 420
Release: 2015-07-25
Genre: Computers
ISBN: 1466686634

Today's smartphones utilize a rapidly developing range of sophisticated applications, pushing the limits of mobile processing power. The increased demand for cell phone applications has necessitated the rise of mobile cloud computing, a technological research arena which combines cloud computing, mobile computing, and wireless networks to maximize the computational and data storage capabilities of mobile devices. Enabling Real-Time Mobile Cloud Computing through Emerging Technologies is an authoritative and accessible resource that incorporates surveys, tutorials, and the latest scholarly research on cellular technologies to explore the latest developments in mobile and wireless computing technologies. With its exhaustive coverage of emerging techniques, protocols, and computational structures, this reference work is an ideal tool for students, instructors, and researchers in the field of telecommunications. This reference work features astute articles on a wide range of current research topics including, but not limited to, architectural communication components (cloudlets), infrastructural components, secure mobile cloud computing, medical cloud computing, network latency, and emerging open source structures that optimize and accelerate smartphones.

Learning Technology for Education Challenges

Learning Technology for Education Challenges
Author: Lorna Uden
Publisher: Springer
Total Pages: 492
Release: 2019-05-27
Genre: Education
ISBN: 3030207986

This book constitutes the refereed proceedings of the 8th International Workshop on Learning Technology for Education Challenges, LTEC 2019, held in Zamora, Spain, in July 2019. The 41 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in the following topical sections: learning technolgies; learning tools and environment; e-learning and MOOCs; learning practices; social media learning tools; machine learning and evaluation support programs. LTEC 2019 examines how these technologies and pedagogical advances can be used to change the way teachers teach and students learn, while giving special emphasis to the pedagogically effective ways we can harness these new technologies in education.

When Compressive Sensing Meets Mobile Crowdsensing

When Compressive Sensing Meets Mobile Crowdsensing
Author: Linghe Kong
Publisher: Springer
Total Pages: 134
Release: 2019-06-08
Genre: Computers
ISBN: 9811377766

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data. Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.