Springer Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 3: 709 (Advances in Intelligent Systems and Computing, 709)

Product Description This three volume book contains the Proceedings of 5th International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). The book focuses on the recent advancement of the broad areas of advanced computing, networking and informatics. It also includes novel approaches devised by researchers from across the globe. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice. From the Back Cover This three volume book contains the Proceedings of 5th International Conference on Advanced Computing, Networking and Informatics (ICACNI 2017). The book focuses on the recent advancement of the broad areas of advanced computing, networking and informatics. It also includes novel approaches devised by researchers from across the globe. This book brings together academic scientists, professors, research scholars and students to share and disseminate information on knowledge and scientific research works related to computing, networking, and informatics to discuss the practical challenges encountered and the solutions adopted. The book also promotes translation of basic research into applied investigation and convert applied investigation into practice. About the Author Pankaj Kumar Sa received Ph.D. degree in Computer Science in 2010. He is currently serving as an Assistant Professor in the Department of Computer Science and Engineering, National Institute of Technology Rourkela, India. His research interests include computer vision, biometrics, visual surveillance, and robotic perception. He has co-authored a number of research articles in various journals, conferences, and book chapters. He has co-investigated some research and development projects that are funded by SERB, DRDOPXE, DeitY, and ISRO. He has received several prestigious awards and honors for his excellence in academics and research. Apart from research and teaching, he conceptualizes and engineers the process of institutional automation. Sambit Bakshi is currently with Centre for Computer Vision and Pattern Recognition of National Institute of Technology Rourkela, India. He also serves as Assistant Professor in Department of Computer Science & Engineering of the institute. He earned his PhD degree in Computer Science & Engineering. He serves as associate editor of International Journal of Biometrics (2013 -), IEEE Access (2016 -), Innovations in Systems and Software Engineering (2016 -), Plos One (2017-) and Expert Systems (2018 -). He is technical committee member of IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence. He received the prestigious Innovative Student Projects Award – 2011 from Indian National Academy of Engineering (INAE) for his master’s thesis. He has more than 50 publications in journals, reports, conferences. Ioannis K. Hatzilygeroudis is Associate Professor of department of Computer Engineering & Informatics, University of Patras, Greece. His research interests include Knowledge Representation (KR) with emphasis on Integrated KR Languages/Systems; Knowledge-Based Systems, Expert Systems; Theorem Proving with emphasis on classical methods; Intelligent Tutoring Systems; Intelligent e-Learning; Natural Language Generation; and Semantic Web. He has several papers published in journals, contributed books and conference proceedings. He has over 25 years of teaching experience. He is associate editor of International Journal on AI Tools (IJAIT), published by World Scientific Publishing Company, and also serving as an editorial board member to International Journal of Hybrid Intelligent Systems (I