Mobile and Wireless Technology 2015

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· Lecture Notes in Electrical Engineering Libro 310 · Springer
Ebook
214
pagine
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Informazioni su questo ebook

This book provides a snapshot of the current state-of-the-art in the fields of mobile and wireless technology, security and applications. The proceedings of the 2nd International Conference on Mobile and Wireless Technology (ICMWT2015), it represents the outcome of a unique platform for researchers and practitioners from academia and industry to share cutting-edge developments in the field of mobile and wireless science technology, including those working on data management and mobile security.

The contributions presented here describe the latest academic and industrial research from the international mobile and wireless community. The scope covers four major topical areas: mobile and wireless networks and applications; security in mobile and wireless technology; mobile data management and applications; and mobile software. The book will be a valuable reference for current researchers in academia and industry, and a useful resource for graduate-level students working on mobile and wireless technology.

Informazioni sull'autore

Dr. Kuinam J. Kim is a professor and chairman of convergence Security Department, Kyonggi University, Korea. He is the founding Editor in Chief of the ICAT Transactions on Digital Security and Forensics. He is currently on the advisory editorial board of the Convergence Security Journal.
His research interests include cloud computing, wireless and mobile computing, digital forensics, video surveillance, information and convergence security. He has published extensively in these areas and received several Journals and conferences best paper awards.

Dr. Naruemon Wattanapongsakorn is an associate professor at King Mongkut’s University of Technology Thonburi, Thailand. She is a current Computer Engineering & Electrical and Computer Engineering Graduate Program Chair at her university. Her interests are Software Fault, Optimization Algorithms, Digital Embedded System Modeling, and Statistical Analysis of System Reliability.

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