Recent Innovations in Computing Proceedings of ICRIC 2020

Part I: Advanced Computing.- Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-Computing Environments.- Machine Learning based Information Retrieval System.- Web Service Clustering Approaches to Enhance Service Discovery: A Review.- Path Finding Using PSO Cooperated With Randomized Noise Functions.- A Comparative Study of NoSQL Databases.- SMT versus NMT: an experiment with Punjabi - English.- Performance Enhancement of MIMO Configurations in FSO System under Different Weather Conditions.- A Low Power Hara Inductor based Differential Ring Voltage Controlled Oscillator.- Design and Simulation of Optimum Digital Filter for Removal of Power Line Interference Noise.- Centralized Blood Bank Database and Management System.- Effect of Supercapacitor on Power Supply for Rechargeable Implanted Medical Devices.- Part II: Intellegent Networking.- Particle Swarm Optimization and Genetic  Mutation based Routing Technique for IoT Based Software-Defined WSNs.- Defining and Evaluating Network Communities based on ground-truth in Online Social Networks.- Microstrip Antenna Design With Truncated Edges for Bandwidth Improvement for Wireless Applications.- A Deep Network Model for Paraphrase Detection in Punjabi.- Design and Development of Software and Hardware Modules of Bio-impedance System Using LT-Spice.- Investigations on designs of Dielectric Resonator Antennas (DRA) for C band applications.- Planar Rectangular Microstrip Patch Antenna Design for 25GHz Wireless Applications.- Intelligent Opportunistic Routing Protocol in Wireless Sensor Networks: A Security Perspective.- OSEP: Optimized Stable Election Protocol in Wireless Sensor Networks.- Bot Detection in Social Networks using Stacked Generalization Ensemble.- Internet of Things (IoT): Vulnerabilities and Remediation Strategies.- DACHE: A Data Aggregation based Effective and Optimized Cluster Head Election Routing Protocol for HWSNs.- Part III: Image Processing and Computer Vision.- A Hybrid Approach with Intrinsic Feature Based Android Malware Detection Using LDA and Machine Learning.- Towards recognition of normal versus pneumonia infected patients using deep neural network technique.- Edge Detection using Guided Image Filtering and Ant Colony Optimization.- A VQA: Attention based Visual Question Answering Technique for Handling Improper Count of Occluded Object.- Wireless Sensing with Radio Frequency Identification (RFID): Instrumental in Intelligent Tracking.- Impact of Distortions on the Performance of Feature Extraction and Matching Techniques.- Realization of a robust watermarking system in spatial domain.- Investigations on Mathematical Modeling of Imaging Infrared (IIR) Missile.- Recommendation Systems based on Collaborative Filtering using Autoencoders: Issues and Opportunities.- An algorithm to recognize and classify circular objects from image on basis of their radius.- A systematic review on various techniques on image segmentation.- On Performance Analysis of Biometric Methods for Secure Human Recognition.- Obstacle Avoidance in Robot Navigation using Two-Sample t-Test based Obstacle-Recognition.- On Data Driven Approaches for Presentation Attack Detection in Iris Recognition Systems.- Anomaly Detection and Qualitative Analysis of Diseases in Tomato Plant Using Texture Features.- To Study the Effect of Varying Camera Parameters in the Process of Matching and Reconstruction.

Dr. Yashwant Singh is currently working as an Associate Professor and Head, Computer Science and IT Department at Central University of Jammu, J&K India. He has nealry 15 years of  experience in teaching and research. He has published nearly 60 papers in several Journals and Conferences of Repute. He has published various papers in SCI and SCIE Journals as well from Springer, Elsevier and IGI Global. He has organised several conferences as a General Chair and Publication Chair from Springer and IEEE.

Dr. Maheshkumar H. Kolekar is working as Associate Professor in Department of Electrical Engineering at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 2007. During 2008 to 2009, he was a Post-Doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. During May to July 2017, he worked as DAAD fellow in Technical University Berlin where he worked in the research area EEG signal analysis using machine learning. His research interests are in the area of Digital Signal, Image and Video Processing, Video surveillance, Biomedical Signal Processing, Deep Learning. Recently, he has authored a book titled as “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, 2018. He has successfully completed R&D Project Sponsored by Principal Scientific Advisor to Govt of India on abnormal human activity recognition.

Prof.(Dr.) Arpan Kumar Kar, is Associate Professor of the Information Systems area in DMS, Indian Institute of Technology Delhi. He has extensive experience in teaching, training, consultancy and research. He has published over 120 high impact articles, 6 books and has over a thousand citations for his research. He is member in multiple Advisory Committees of Central Government Ministries and Universities. Before joining IIT Delhi, he has earlier taught in IIM Rohtak as Assistant Professor(v). Prior to joining academics, he has worked in IBM Research Lab and Cognizant Business Consulting. He has provided research driven advisory services to leading MNCs and Government Departments / Ministries in India and globally through funded projects and consultancies of around 5 Crores INR. He has received multiple awards and recognitions from reputed organizations like Elsevier, IFIP, I3E, IIT Delhi, IIM Rohtak, PMI, AIMS, TCS, Jadavpur University, etc.

Prof (Dr.) Jitender Kumar Chhabra is Professor, Computer Engineering Department at National Institute of Technology, Kurukshetra India. He has published 120 papers in reputed International and National Journals and conferences including more than 40 publications from IEEE, ACM, Elsevier and Springer, most of which are SCI/Scopus indexed. His research interest includes Software Metrics, Data Mining, Soft Computing, Machine Learning, Algorithms & related areas. He is reviewer for most reputed journals such as IEEE Transactions, ACM Transactions, Elsevier, Wiley, Springer etc. He has total 1122 Google Scholar Citations, H-Index 16, i-10 Index 24.

Prof. (Dr.) Abhijit Sen  is working as Professor at Kwantlen Polytechnic University, Surrey, BC,Canada. He is Faculty in the Dept of Computing Science and Information Technology. He has done is Ph.D. from McMaster University, Hamilton,Canada in 1976 and completed his MS [Elec and Comp Sci] from Univ of California, Berkeley,USA in 1970. He has graduated from IIT , Kharagpur in 1968. His research interest includes Emerging Technology, Networking, Wireless and voice comunicatio, Distributed Computing, Internet Applicatin Development.