Ambient Communications and Computer Systems

Yu-Chen Hu received his Ph.D. degree in Computer Science and Information Engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan in 1999. Currently, he is a Professor at the Department of Computer Science and Information Management, Providence University, Sha-Lu, Taiwan. His areas of research interest include data compression, data hiding/steganography, digital forensics, digital watermarking, image processing, and information security.Shailesh Tiwari currently works as a Professor at the Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in software engineering. He has published more than 50 publications in international journalsand in proceedings of leading international conferences. He also edits various Scopus, SCI and E-SCI-indexed journals and has organized several international conferences under the banner of the IEEE and Springer. He is a senior member of the IEEE and a member of the IEEE Computer Society.Munesh Chandra Trivedi is currently a Associate Professor at the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India. He has published 20 textbooks and 80 research articles in various international journals and in the proceedings of leading international conferences. He has received young scientist and numerous other awards from various national and international forums. He has organized several international conferences sponsored by the IEEE, ACM, and Springer. He is on the review panel of the IEEE Computer Society, International Journal of Network Security, Pattern Recognition Letters, and Computer & Education (Elsevier Journal). He is a member of the executive committee of the IEEE UP Section, IEEE India Council, and also the IEEE Asia Pacific Region 10.Krishn Kumar Mishra is currently working as Assistant Professor, Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, India. He has also been worked as Visiting Faculty in Department of Mathematics and Computer Science, University of Missouri, St. Louis, USA. His primary area of research includes evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has also published more than 50 publications in International Journals and in Proceedings of Internal Conferences of repute. He is serving as a program committee member of several conferences and also edited Scopus and SCI-indexed journals. He is also member of reviewer board of Applied Intelligence Journal, Springer.

• Topology Aware Low-Cost Video Streaming for Video Data over Heterogeneous Network.- Energy Efficient Heterogeneous WCEP Protocol for Enhancing Coverage Lifetime in WSNs.- Blockchain Security Attacks and its Countermeasures.- Test Suite Optimization Using Lion Optimization Algorithm.- Advanced Twitter Sentiment Analysis using Supervised Techniques and Minimalistic Features.- Simulation of Learning Logical Functions Using Single Layer Perceptron.- Applicability of Financial System Using Deep Learning Techniques.- Novel Reversible ALU Architecture Using DSG Gate.- Workload aware Dynamic Scheduling Algorithm for Multi-core Systems.- Almost Self-Centered Index of Some Graphs.- Computationally Efficient Scheme for Simulation of Ring Oscillator Model.- A Case Study of Structural Health Monitoring.- An Efficient Task Scheduling Strategy for DAG in Cloud Computing Environment.- Web Based Movie Recommender System.- Personality Prediction System Through CV Analysis.- Image Enhancement: A Review.-Diagnosis of Cough and Cancer using Image Compression and Decompression Techniques.- Hybrid Domain Features based Image Super Resolution Using Fusion of APVT and DWT.- A Novel BPSO Based Optimal Features for Handwritten Character Recognition Using SVM Classifier.