Proceedings of the 2nd International Conference on Data Engineering and Communication Technology - Taschenbuch

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ISBN/EAN: 9789811316098

ISBN - alternative Schreibweisen:
981-13-1609-0, 978-981-13-1609-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: kulkarni, tai, sata, anand, kang
Titel des Buches: international engineering, international conference proceedings, communication systems engineering

Daten vom Verlag:

Autor/in: Anand J. Kulkarni; Suresh Chandra Satapathy; Tai Kang; Ali Husseinzadeh Kashan
Titel: Advances in Intelligent Systems and Computing; Proceedings of the 2nd International Conference on Data Engineering and Communication Technology - ICDECT 2017
Verlag: Springer; Springer Singapore
717 Seiten
Erscheinungsjahr: 2018-10-04
Singapore; SG
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XVIII, 717 p. 334 illus., 203 illus. in color.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; ICDECT 2017; ICDECT; Intelligent Communication Technology; Graphics and Image Processing; Web Security, Privacy and E-Commerce; Machine Learning; Computational Intelligence; Communications Engineering, Networks; Artificial Intelligence; Data and Information Security; Nachrichtententechnik, Telekommunikation; Computersicherheit; Netzwerksicherheit; EA

This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.

Optimization of Constrained Engineering Design Problems Using Cohort Intelligence Method.- Application of Blow Fish Algorithm for Secure Transactions in Decentralized Disruption Tolerant Networks.- A Rig-based Formulation and a League Championship Algorithm for Helicopter Routing in Offshore Transportation.- Music Composition Inspired by Sea Wave Patterns Observed from Beaches.- Multi-Graph Based Intent Hierarchy Generation to Determine Action Sequence.- Modeling Runoff Using Feed Forward-back Propagation and Layer Recurrent Neural Networks.- Discussion on Problems and Solutions in Hardware Implementation of Algorithms for a Car type Autonomous Vehicle.- Obstacle Detection for Auto Driving Using Convolutional Neural Network.- Cryptography Algorithm Based on Cohort Intelligence.- Optimal Rate Allocation for Multi Layer Networks.- Eradication of Rician Noise in Orthopedic Knee MR Images Using Local Mean Based Hybrid Median Filter.

holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, an MS in Artificial Intelligence from the University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as a research fellow on a cross-border, supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is working as head and associate professor at the Symbiosis Institute of Technology, Symbiosis International University, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, multi-agent systems, complex systems, cohort intelligence, probability collectives, swarm optimization, game theory, self-organizing systems and fault-tolerant systems. He is the founder and chairman of the Optimization and Agent Technology (OAT) Research Lab. Anand has published over 30 research papers in peer-reviewed journals and conferences.

holds a Ph.D. in Computer Science, and is currently working as a professor and head of the Department of CSE, PVPSIT, Vijayawada, Andhra Pradesh, India. In 2015–17 he was the national chairman of the Computer Society of India’s Div-V (Educational and Research), which is the largest professional society in India. He was also secretary and treasurer of the Computational Intelligence Society’s IEEE Hyderabad Chapter. He is a senior member of IEEE. He has been instrumental in organizing more than 18 international conferences in India and has been corresponding editor for over 30 books. His research activities include swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in a Springer Journal. He has delivered a number of keynote addresses and tutorials at various events inIndia. He has published over 100 papers in leading journals and conference proceedings. Currently he is on the editorial board of IGI Global, Inderscience, and Growing Science journals and is also guest editor for the Arabian Journal of Science and Engineering.

holds a Bachelor of Engineering degree from the National University of Singapore and a Ph.D. from Imperial College, London. He is currently an associate professor at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He teaches various undergraduate and graduate courses in design, design optimization and finite element analysis. His research interests include optimization, evolutionary computation, collective intelligence, structural topology/shape optimization, compliant/flexural mechanisms, folding/unfolding of 3D folded structures, mathematical modeling of industrial/manufacturing processes, and modeling and vulnerability analysis of critical infrastructure interdependencies.

holds degrees in Industrial Engineering from Amirkabir University of Technology (Polytechnic of Tehran), Iran. He worked as a postdoctoral research fellow at the Department of Industrial Engineering and Management Systems with the financial support of Iran National Elite foundations. Dr. Kashan is currently an assistant professor at the Department of Industrial and Systems Engineering, Tarbiat Modares University and has been active in the applied optimization research field since 2004. His research focuses on modeling and solving combinatorial optimization problems in areas such as logistics and supply networks, revenue management and pricing, resource scheduling, grouping problems, and financial engineering. As solution methodologies for real-world engineering design problems, he has introduced several intelligent optimization procedures, such as the League Championship Algorithm (LCA), Optics Inspired Optimization (OIO), Find-Fix-Finish-Exploit-Analyze (F3EA) metaheuristic algorithm and Grouping Evolution Strategies (GES). Dr. Kashan has published over 70 peer-reviewed journal and conference papers, and has served as a referee for several outstanding journals such as: IEEE Transactions on Evolutionary Computations, Omega, Computers & Operations Research, Journal of the Operational Research Society, Computers & Industrial Engineering, International Journal of Production Research, Information Sciences, Applied Soft Computing, Ecological Informatics, Engineering Optimization, and Optimal Control and Applications. He has received several awards from the Iran National Elite Foundation, and in 2016 he was honored by the Academy of Sciences of Iran as the “outstanding young scientist of Industrial Engineering”.

This book features research work presented at the 2nd International Conference on Data Engineering and Communication Technology (ICDECT) held on December 15–16, 2017 at Symbiosis International University, Pune, Maharashtra, India. It discusses advanced, multi-disciplinary research into smart computing, information systems and electronic systems, focusing on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide feasible solutions to varied problems in society, the environment and industry. It also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in a variety of disciplines of computer science and electronics engineering.