This volume brings together contributions representing the state-of-the-art in new multimedia and future technology information research, currently a major topic in computer science and electronic engineering. Researchers aim to interoperate multimedia frameworks, transforming the way people work and interact with multimedia data. This book covers future information technology topics including digital and multimedia convergence, ubiquitous and pervasive computing, intelligent computing and applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and…mehr
This volume brings together contributions representing the state-of-the-art in new multimedia and future technology information research, currently a major topic in computer science and electronic engineering. Researchers aim to interoperate multimedia frameworks, transforming the way people work and interact with multimedia data. This book covers future information technology topics including digital and multimedia convergence, ubiquitous and pervasive computing, intelligent computing and applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, human-centric computing and social networks, adaptive and context-aware computing, security and trust computing and related areas.
Representing the combined proceedings of the 9th International Conference on Multimedia and Ubiquitous Engineering (MUE-15) and the 10th International Conference on Future Information Technology (Future Tech 2015), this book aims toprovide a complete coverage of the areas outlined and to bring together researchers from academic and industry and other practitioners to share their research ideas, challenges and solutions.
Professor James J. (Jong Hyuk) Park received his Ph.D. degree in Graduate School of Information Security from Korea University, Korea. From December, 2002 to July, 2007, Dr. Park had been a research scientist of R&D Institute, Hanwha S&C Co., Ltd., Korea. From September, 2007 to August, 2009, He had been a professor at the Department of Computer Science and Engineering, Kyungnam University, Korea. Professor Han-Chieh Chao is a joint appointed Full Professor of the Department of Electronic Engineering and Institute of Computer Science & Information Engineering. He also serves as the Dean of the College of Electrical Engineering & Computer Science for National Ilan University, I-Lan, Taiwan, R.O.C. He has been appointed as the Director of the Computer Center for Ministry of Education on September 2009 as well. Professor Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (Canterbury, England) in 1987. Arabnia is currently a Professor of Computer Science at University of Georgia (Georgia, USA), where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, supercomputing, Big Data Analytics and applications in medical imaging, knowledge engineering, security and surveillance systems and other computational intensive problems. Professor Neil Y. Yen received doctorates in Human Sciences at Waseda University, Japan, and in Engineering at Tamkang University, Taiwan in 2012. His doctorate in Waseda University was funded by the JSPS (Japan Society for the Promotion of Science) under RONPAKU program. He joins The University of Aizu, Japan as an associate professor since April 2012.
Inhaltsangabe
From the Contents: The study on the detection of the damaged file using the graph of the information entropy for Security Management.- Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications.- A Multimetric Approach for Discriminating Distributed Denial of Service Attacks from Flash Crowds.- A Supporting Tool for Spiral Model of Cryptographic Protocol Design with Reasoning-based Formal Analysis.
From the Contents: The study on the detection of the damaged file using the graph of the information entropy for Security Management.- Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications.- A Multimetric Approach for Discriminating Distributed Denial of Service Attacks from Flash Crowds.- A Supporting Tool for Spiral Model of Cryptographic Protocol Design with Reasoning-based Formal Analysis.
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