IT Convergence and Security 2017 (eBook, PDF)

Volume 1
Redaktion: Kim, Kuinam J.; Baek, Nakhoon; Kim, Hyuncheol

• Format: PDF

Produktbeschreibung

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 350
• Erscheinungstermin: 28. August 2017
• Englisch
• ISBN-13: 9789811064517
• Artikelnr.: 52941114

Autorenporträt

Kuinam J. Kim Kuinam J. Kim is a professor and chairman of the Convergence Security Department at Kyonggi University, Korea. He is the founding editor-in-chief of Software Networking and the Journal of Industrial Engineering and Management Science. 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 journal and conference best paper awards. He received his BS degree in Mathematics from the University of Kansas. He earned his Ph.D. in Industrial Engineering from Colorado State University in 1994. He is the executive general chair of the Institute of Creative and Advanced Technology, Science, Engineering (ICATSE). He is a senior member of the IEEE. Nakhoon Baek Nakhoon Baek is currently a professor at the School of Computer Science and Engineering at Kyungpook National University, Korea. He received his BA, MS and Ph.D. degrees in Computer Science from Korea Advanced Institute of Science and Technology (KAIST) in 1990, 1992 and 1997, respectively. His research interests include graphics standards, graphics algorithms and real-time rendering. He is now also the chief engineer of Dassomey.com Inc., Korea. Hyuncheol Kim He is a professor in the Department of Computer Science at Nam Seoul University, Korea. He is the Associate Editor of Software Networking Journal. He received his BS, MS, and Ph.D. degrees in Computer Engineering from Sungkyunkwan University, Korea. His research interests include mobile and wireless networking, software defined networking (SDN), and network function virtualization (NFV) and artificial intelligence.

Inhaltsangabe

Track 1. Machine Learning & Deep Learning Track 2. Communication and Signal
Processing Track 3. Computer Vision and Applications Track 4. Future
Network Technology
Track 5. Artificial Intelligence and Robotics Track 6. Software Engineering
and Knowledge Engineering Track 7. Intelligent Vehicular Networking and
Applications Track 8. Healthcare and Wellness
Track 9. Web Technology and Applications Track 10. Internet of Things Track
11. Security and Privacy