Ambient Communications and Computer Systems: RACCCS 2017

by Gregorio Martinez Perez (Editor), Shailesh Tiwari (Editor), Munesh C. Trivedi (Editor), Krishn K. Mishra (Editor)

Overview

This book includes high-quality, peer-reviewed papers from the International Conference on Recent Advancement in Computer, Communication and Computational Sciences (RACCCS-2017), held at Aryabhatta College of Engineering&Research Center, Ajmer, India on September 2–3, 2017, presenting the latest developments and technical solutions in computational sciences.

Data science, data- and knowledge engineering require networking and communication as a backbone and have a wide scope of implementation in engineering sciences. Keeping this ideology in mind, the book offers insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. Covering a variety of topics, such as intelligent hardware and software design, advanced communications, intelligent computing technologies, advanced software engineering, the web and informatics, and intelligent image processing, it helps those in the computer industry and academia use the advances of next-generation communication and computational technology to shape real-world applications.

Product Details

ISBN-13:	9789811073861
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/20/2018
Series:	Advances in Intelligent Systems and Computing , #696
Sold by:	Barnes & Noble
Format:	eBook
File size:	18 MB
Note:	This product may take a few minutes to download.

About the Author

Gregorio Martínez Pérez received his Ph.D. degree in Computer Science from the University of Murcia, Spain, and is now a full professor at the Department of Information and Communication Engineering there. His research interests include the security and management of distributed communication networks.

Shailesh Tiwari currently works as a professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in software engineering. He has published more than 50 publications in international journals and in proceedings of leading international conferences, and edits various Scopus, SCI and E-SCI-indexed journals. He has organized several international conferences under the banner of the IEEE and Springer. He is a senior member of the IEEE and a member of the IEEE Computer Society.

Munesh Chandra Trivedi currently works as a professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He has published 20 textbooks and 80 research publications in different international journals and in proceedings of leading international conferences. He has received young scientist and numerous other awards from different national and international forums. He has organized several international conferences sponsored by the IEEE, ACM and Springer. He is on the review panel of the IEEE Computer Society, International Journal of Network Security, Pattern Recognition Letter and Computer&Education (Elsevier Journal). He is a member of the executive committee of the IEEE UP Section, IEEE India Council and also the IEEE Asia Pacific Region 10.

Krishn Kumar Mishra is currently working as a Visiting Faculty, Department of Mathematics andComputer Science, University of Missouri, St. Louis, USA. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India which is also his base working institute. His primary areas of research includes evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has also published more than 50 publications in International Journals and in Proceedings of Internal Conferences of repute. He is serving as a program committee member of several conferences and also editing Scopus and SCI-indexed journals.

Table of Contents

Neural Network based Novel Detection Technique for Analysis of Pollutant levels in Air.- A Dual Coding Technique to Reduce Dynamic Power Dissipation in Deep Submicron (DSM) Technology.- Short Term Solar Power Forecasting using Random Vector Functional Link (RVFL) Network.- A CSA based Architecture of Vedic Multiplier for Complex Multiplication.- Using Parallel and Distributed Reachability in Model Checking.- Trust Evaluation in Social Network Using Trusted Graph.- Exactly Once Semantics with Real-time Data Pipelines.- Analysis of Online Suspicious Behavior Patterns.- A Review of Biometrics Modalities and Data Mining Algorithms.- Real-Time Eye Detection Method For Driver Assistance System.- Gabor-Max-DCT Feature Extraction Techniques for Facial Gesture Recognition.