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This book is a collection of cutting-edge research papers from the First National Conference on Intelligent Systems, IoT, and Wireless Communication for Society (IIWCS-2024). It features contributions from researchers and practitioners worldwide, sharing the latest findings in the fields of intelligent systems, the Internet of Things (IoT), and wireless communication. The volume covers novel techniques and methodologies in areas such as machine learning, 5G and beyond communication, RFID, MEMS, and VLSI engineering. The proceedings are a valuable resource for researchers, practitioners, and students interested in the latest developments in intelligent systems, IoT, and wireless communication.
List of contents
Estimation of Crop Yield using Intelligent Machine Learning Approaches.- Performance Analysis of Chromatic Dispersion in Optical Networks Using Deep Learning Approaches.- Blind Demodulation and Radio Finger Printing using CNN for Electronic Warfare Systems.- Air Quality Prediction Model Using Novel Red Deer Algorithm Optimized Gated Recurrent Neural Network (RDA-GRNN).- Face detection with Arduino and computer vision for real-time automated access control.- Comparative Study of the Design and Analysis of Ripple Carry Adder using Reversible Logic Gates.- An Ensemble Approach for Improving Time-series Weather Data Accuracy.- Performance Analysis of Multi-User NOMA in Downlink Communication System using SISO-OFDM.- Machine Learning - Based Channel Estimation for Free Space Optical (FSO) Communication.- Optimization of Resource Scheduling in the Coexistence of eMBB and uRLLC for 5G Networks: A Comprehensive Performance Evaluation.- Strategic Retail Decision-Making: A Hybrid Apriori - FP Growth Algorithm for Efficient Association Rule Discovery.- Quality Assessment of Software Projects using Machine Learning.- Modelling an Electric Wheelchair with Solar Energy Integration and Enhanced Control.- Cyber Security of Smart Meters in AMI of Smart Grids.- Face Image Retrieval using GLCM and Texture Feature Fusion.- Comparative Analysis of DenseNet-121 and Xception for Bell Pepper Bacterial Spot Diseases Classification: A Deep Learning Approach.- Hardware-Specific Implementation of Neural Network for Handwritten Digit Detection.- Design of Wideband Antenna with Frequency Reconfigurable using Fractal Structures.- Parkinson s disease Prediction using Intrinsic Mode Function Instantaneous Amplitude Deviation.- Robust SIMO Channel Estimation under Impulsive Noise with Fair Cost Function.- A Blockchain-based Self-Sovereign Identity Management Framework for Internet of Things.- Audio Signal Processing Based Fetal Health Monitoring.- A Compact YOLOv5-GhostNet-based Weapon Detection System for Smart City Applications.- A Dual-Layer Microwave Absorber using Resistive Ink for C and X Band Applications.- Enhancing Human Activity Recognition with Language Analysis and BERT.- Design of Hybrid Reconfigurable Hexagonal Koch Fractal Antenna for Wideband Applications.- A Minkowski Fractal Antenna for S, C, Band Applications Based on Defected Ground Structure.- A Flexible Chipless RFID tag for Sensor applications.- Anomaly Detection in Co-axial Cable using Time-Frequency Domain Reflectometry and Deep Learning Technique.- Inverted G shaped resonator for low frequency sensor applications and bit-density calculation.- A 8-bit circular Array Resonators for ISM band applications.- Metasurface-Based Crossed Dipole Antenna with Curved Ends.- Comparative Study on Chipless RFID Tags with flexible substrates.- Modeling of Solar Cell to achieve Maximum Power Point using a Boost Converter.- A comparative analysis of Pilot decontamination schemes in Massive MIMO system.
About the author
Dr. Santos Kumar Das is a R&D professional with more than 22 years (7 years’ industry experience, 15 years at NIT Rourkela out of which 10 years after PhD degree) of valuable experience on various Software developments and research activities both in industries and academics. He has awarded the Senior IEEE Member and Fellow of Institute of Engineers. He has published 54 journals, 62 conference papers, 9 granted patents during his industry and academic work, 21 book chapters, one book proceedings and one is under process, and produced 12 PhD student. He has already completed 2 high end sponsored projects and at this moments, he is handling 5 sponsored and 2 consultancy projects in various domains. His research interest includes optical networking, communication networking, UAV, RADAR, AI/ML, IoT and embedded system.
Dr. Santanu Kumar Behera received the B.Sc. (Engg.) degree in Electronics and Telecommunication Engineering from the Veer Surendra Sai University of Technology Burla, Sambalpur, India, in 1990, and the M.E. degree in Electronics and Telecommunication Engineering and the Ph.D. (Engg.) degree from Jadavpur University, Kolkata, India, in 2001 and 2008, respectively. He is currently working as a Professor in the Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, India. His areas of interest are Electromagnetic theory, Planar antennas, Dielectric resonator antennas, Fractal antennas, Reconfigurable antennas, and RFID systems. He has published more than 150 articles in the refereed Journals and IEEE Conferences. He has authored three books in the research areas of Chipless RFID. He has been awarded as Top 2% Most Influential Scientists (Single Year) in 2023 Stanford University/Elsevier ranking. He is an Associate Editor in Chief of Applied Computational Electromagnetics Society Journal and Associate Editor of IEEE Journal of Radio Frequency Identification. He is a Senior Member of IEEE, Fellow Member of IETE & IE (India) and Member of IET.
