Big Data Analytics for Sensor-Network Collected Intelligence

Big Data Analytics for Sensor-Network Collected Intelligence PDF Author: Hui-Huang Hsu
Publisher: Morgan Kaufmann
ISBN: 012809625X
Category : Computers
Languages : en
Pages : 328

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Book Description
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Contains contributions from noted scholars in computer science and electrical engineering from around the globe - Provides a broad overview of recent developments in sensor collected intelligence - Edited by a team comprised of leading thinkers in big data analytics

Proceedings of International Conference on Recent Trends in Computing

Proceedings of International Conference on Recent Trends in Computing PDF Author: Rajendra Prasad Mahapatra
Publisher: Springer Nature
ISBN: 9819717248
Category :
Languages : en
Pages : 827

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Book Description


Rethinking Political Risk

Rethinking Political Risk PDF Author: Cecilia Emma Sottilotta
Publisher: Routledge
ISBN: 1317063872
Category : Political Science
Languages : en
Pages : 157

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Book Description
Political risk was first introduced as a component for assessing risk not directly linked to economic factors following the flow of capital from the US to Europe after the Second World War. However, the concept has rapidly gained relevance since, with both public and private institutions developing complex methodologies designed to evaluate political risk factors and keep pace with the internationalization of trade and investment. Continued global and regional economic and political instability means a plethora of different actors today conduct a diverse range of political risk analyses and assessments. Starting from the epistemological foundations of political risk, this books bridges the gap between theory and practice, exploring operationalization and measurement issues with the support of an empirical case study on the Arab uprisings, discussing the role of expert judgment in political forecasting, and highlighting the main challenges and opportunities political risk analysts face in the wake of the digital revolution.

Creating Personal, Social, and Urban Awareness through Pervasive Computing

Creating Personal, Social, and Urban Awareness through Pervasive Computing PDF Author: Guo, Bin
Publisher: IGI Global
ISBN: 1466646969
Category : Computers
Languages : en
Pages : 440

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Book Description
The recent emergence and prevalence of social network applications, sensor equipped mobile devices, and the availability of large amounts of geo-referenced data have enabled the analysis of new context dimensions that involve individual, social, and urban context. Creating Personal, Social, and Urban Awareness through Pervasive Computing provides an overview of the theories, techniques, and practical applications related to the three dimensions of context awareness. Through the exploration of emerging research trends of pervasive computing, this book is beneficial to professors, students, researchers, and developers interested this latest development in the field of context-awareness and pervasive computing.

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City PDF Author: Mohammed Atiquzzaman
Publisher: Springer Nature
ISBN: 9811525684
Category : Technology & Engineering
Languages : en
Pages : 2049

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Book Description
This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Edge Analytics

Edge Analytics PDF Author: Ripon Patgiri
Publisher: Springer Nature
ISBN: 9811900191
Category : Technology & Engineering
Languages : en
Pages : 720

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Book Description
This book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.

Autonomous Driving Perception

Autonomous Driving Perception PDF Author: Rui Fan
Publisher: Springer Nature
ISBN: 981994287X
Category : Technology & Engineering
Languages : en
Pages : 391

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Book Description
Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.

Sustainable Smart Cities

Sustainable Smart Cities PDF Author: Pradeep Kumar Singh
Publisher: Springer Nature
ISBN: 3031088158
Category : Technology & Engineering
Languages : en
Pages : 342

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Book Description
This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful.

Science and Technologies for Smart Cities

Science and Technologies for Smart Cities PDF Author: Henrique Santos
Publisher: Springer Nature
ISBN: 3030510050
Category : Computers
Languages : en
Pages : 492

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Book Description
This book constitutes the refereed proceedings of the 5th Annual Smart City 360° Summit, held in Braga, Portugal, in December 2019. The volume combines selected papers of four conferences, namely IoT in Urban Space, Urb-IoT 2019, Smart Governance for Sustainable Smart Cities, SmartGov 2019, Sensor Systems and Software, S-Cube 2019, and Intelligent Technologies for Interactive Entertainment, Intetain 2019. The 5 keynote and 32 conference papers presented were carefully reviewed and selected from 113 submissions and present results of multidisciplinary scientific and industry collaboration to solve complex societal, technological and economic problems Smart Cities. As such, the main goals are to promote quality of life, work conditions, mobility and sustainability.

Enterprise Big Data Engineering, Analytics, and Management

Enterprise Big Data Engineering, Analytics, and Management PDF Author: Atzmueller, Martin
Publisher: IGI Global
ISBN: 1522502947
Category : Computers
Languages : en
Pages : 293

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Book Description
The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.