About the Book
ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University. Looking at the response to the conference, the bi-annual conference now onwards will be annual. The 5th International Conference on Intelligent Circuits and Systems (ICICS 2023) will be focusing on intelligent circuits and systems for achieving the targets in Sustainable Development Goal (SDG) 3, identified as ‘Good Health and Wellbeing’ by United Nations (Refs: https://sdgs.un.org/goals/goal3, https://sdg-tracker.org/).
Table of Contents:
Lists of Figures, List of Tables, List of Contributors, Preface, 1 IoT-Based Smart Energy Management System for Photovoltaic Power Generation, 2. Internet of Things (IoT) in Healthcare: Role and Applications, 3. Internet of Things (IoT) Sensor Technologies for Medical Monitoring, 4. Security Challenges in AI-Enabled Robotics: Threats and Countermeasures, 5. Fuzzy Logic Based System for Checking the Eligibility of Placement Students using DBSCAN Algorithm, 6. Optical Character Recognition using Support Vector Machine, 7. Development of Fusion Based Cognitive Assisted Smart Room Automation System, 8. Phishing Website Detection Using Optimised Ensemble Model, 9. Power-Efficient Packet Counter Design on High Performance FPGA for Green Communication, 10. Analysis of Chaotic Northern Goshawk Algorithm in the Optimal Design of Electric Vehicles, 11. Wireless Lock System using Arduino UNO and Bluetooth Module, 12. Analysis of Various Methods to Boost the Isolation in UWB-MIMO Antennas, 13. Smart EV Charging using IoT and Block Chain: A Comparative Study of Latest Technologies, 14. Analytical Framework and Algorithmic Model for Resource Allocation in 5G and Beyond 5G Networks for IoT, 15. A Systematic Review of Load Balancing Techniques in Heterogeneous Networks, 16. Microwave Absorber: A Promising Material as a Solution to Electromagnetic Interference, 17. Early Disease Detection Using Machine Learning Approach, 18. Smart Vending Machine Using Digital Payment, 19. Balancing Fundamental and Technical Analysis for Stock Market Using Artificial Intelligence: A Survey, 20. Animal Detection and Repelling System Based on Motion Sensor and GSM Module, 21. Analysis of Deep Learning Algorithms Based Person re-Identification Using Standard Datasets: A Review, 22. An Innovative Approach to Select Features for Identifying Attacks in Cloud Computing Environments by a New Algorithm that Integrates the Principles of the Firefly Algorithm and K-Nearest Neighbour, 23. Nanometrology: A Subfield of Nanoscience, 24. Breast Cancer Classification with Adaptive Median Filtering, GMM Segmentation and GLCM Features, 25. IoT-Based Smart Dustbin for Waste Management Systems, 26. Multi-Objective Gravitational Search Algorithm Based Clustering Scheme in VANET, 27. Hybrid Approach to Place Wind Distributed Generators in Distribution System, 28. Classification of MNIST Dataset Using Different CNN Architecture, 29. Tailoring of Morphology and Electrical Properties of Hexagonal Ferrites, 30. Different PWM Techniques for Power Electronics Topologies: A Comparative Study, 31. A Phantom-Based Experimental Study of the Bioimpedance Monitoring Techniques, 32. Design and FPGA Implementation of Digital Clock with Millisecond Precision, 33. Optimising Supercapacitor-Based Power Delivery Systems for Enhanced Efficiency in Electric Vehicles, 34. Comparative Study of Variational Autoencoder for X-Ray Image Denoising, 35. Modified SSD Framework for On-Road Object Detection, 36. 0.7V-20nm FinFET Technology Inverter Design for Better Log-Linear Characteristics, 37. Effective Load Frequency Controller Using Machine Learning Algorithms, 38. Design and Implementation of a Variable Frequency Generator Using CMOS Ring Oscillator, 39. Design and Analysis of Ring Structured based VCO using cadence 45mm, 40. Study of IoT in Smart Farming Applications, 41. Distribution system Assessment with Capacitor Placement, 42. Federated Learning: Issues, Challenges, and Needs, 43. Smart Door Bell Using IoT: Implementation and Design, 44. Energy Storage Systems with Artificial Intelligence Techniques in Doubly Fed Induction Generator Based Wind Energy Conversion System – An Overview, 45. Massive MIMO Precoding Techniques for Future Generation Communication System, 46. Design and Performance Analysis of PV-Based Grid Connected Nanogrid System, 47. 14T SRAM Bit Cell with Speed and Power Optimized Using CNTFET, 48. Cost Correlation for High Head Small Hydropower Projects, 49. Ab-Initio Analysis of Al-Doped Electrode Magnetic Tunnel Junction for MRAM, 50. An Elliptical Plus Shape Microstrip Patch Antenna Integrated with CSRR for Breast Cancer Detection, 51. Cooperative Communications System with Minimal Energy Consumption, 52. IOT Portable Radar System, 53. Data Acquisition and Monitoring Framework for Waste Management Using Intelligent Sensors and Thing Speak IoT Analytics for Health Monitoring in Smart Cities, 54. Prediction of Type 2 Diabetes Mellitus Using Gradient Boosted Tree Approach, 55. Design of a Millimetre-Wave Antenna with Circular Polarization and High Gain on FR4 Substrate, 56. Synthesis and Investigation of Electrical Characteristics of Co-Zr Doped M-type Sr Hexaferrites, 57. Low Power Optimization of 10T Full Adder Design Using FinFET Technology, 58. Paving the Way for Faster Data Transmission Through Micro Structured Fibre Mode Optimisation, 59. Booth Multiplier Design and Implementation Using NEXYS-4 ARTIX-7 FPGA Board, 60. NB-IoT vs Lora: A Practical Analysis in Terms of Power Consumption, 61. Millimetre Wave Wireless Communication System for Internet of Bodies: A Systematic Review on Implication, 62. Self-Organisation of Heavy Traffic Using Zigbee Communication on Raspberry Pi, 63. A Relay Selection Optimisation for Cooperative Networks to Maximise Reliability and Minimise Energy Consumption, 64. From Pixels to Prognosis: Machine Learning for Infection Segmentation and Disease Prediction in Tulsi Leaf, 65. Deep Learning for Disease Detection in Paddy Plants using Leaf Images, 66. Measurement and Analysis of Power Consumption in Smartphones, 67. A Graphene-Based Absorber for Sensing Application, 68. Enhancing Energy Efficiency in MIMO Networks for 5G, 69. Advancements in Object Detection and Tracking Techniques: A Comprehensive Review in Variable Illumination Conditions, 70. An Integrated Method of Industry 4.0 for Improved Healthcare Sustainability, 71. Performance Analysis of Gate-Pocket Overlap Hetero-junction Tunnel Field-Effect Transistor, 72. A Comparative Study of Electric Vehicle Battery Live Monitoring and Scheduling, 73. Efficient Speed Control Tracking for Electric Vehicle Using Artificial Intelligence: A Comparative Study, 74. Comparative Analysis of Correlation Tracking Algorithms for Real-Time Video Object Tracking, 75. Implementation and Designing of a Smart Door Lock System, 76. SBLKF- Based Estimation of Time-Selective (Fast – Fading) Channel for Hybrid mmWave Massive MIMO System, 77. A Parasitic Extraction Method for Realistic Linked Faults in Two Cell SRAMs, 78. Evaluating Energy-Efficient Cooperative Communication in Wireless Networks through Clustering Algorithm Performance Metrics, 79. Efficiency and Accuracy Analysis of Object Detection Algorithms in Deep Learning, 80. Multi-Criteria Collaborative Filtering for Therapy Recommendation to Autistic Children, 81. Implementation of IOT’s MQTT Protocol with JavaScript, 82. Design of Fractional-NPLL Using Delta Sigma Modulation for Low-Phase Noise, 83. Enhancing Stock Market Predictions: Combining Deep Learning and Machine Learning for Improved Accuracy
About the Author :
Dr. Bhaveshkumar C. Dharmani
is a Professor and Head, Signal & Image Processing, School of Electrical & Electronics Engineering, Lovely Professional University. He has done his full-time Ph. D. from Dhirubhai Ambani Institute of Information & Communication Technology (DAIICT) after years of teaching experience and was a Visiting scientist at Interdisciplinary Statistical research Unit (ISRU), Indian Statistical Institute (ISI), Kolkata. He has more than 17 years of teaching experience with 5 years post-PhD. He has around 13 research publications and 8 patents published. His current research focus is on achieving robustness in Machine and Deep learning algorithms for healthcare applications, collaborating the concepts of Signal Processing, Robust Statistics and Machine Learning. His research interest includes Blind Source Separation, Tensor decompositions, Robust Statistical Divergences, kernel based nonparametric estimation, Machine & Deep learning, Evolutionary Algorithms and others.
Dr. Suman Lata Tripathi
is working as Professor in Lovely Professional University with more than 21 years of experience in academics and research. She has completed her Ph.D. in the area of microelectronics and VLSI Design from MNNIT, Allahabad. She is also a remote post-doc researcher at Nottingham Trent University, London, UK in the year 2022. She has published more than 125 research papers in refereed Springer, Elsevier, IEEE, Wiley and IOP science journals, conference proceeding and e-books. She has also published 13 Indian patents and 4 copyright. She has guided 6 PhD scholars. She has received the “Research Excellence Award” in 2019 and “Research Appreciation Award” in 2020, 2021 at Lovely Professional University, India. She is also working as book series editor for title, “Smart Engineering Systems” CRC Press, “Engineering system design for sustainable developments” & “Decentralized Systems & Next Generation Internet” Wiley-Scrivener, and conference series editor for “Conference Proceedings Series on Intelligent systems for Engineering designs” CRC Press Taylor & Francis. She is serving as academic editor of journal “Journal of Electrical and Computer Engineering” (Scopus/WoS, Q2), “International Journal of Reconfigurable Computing, Scopus, Q3), “Active and Passive Electronic Component” (Scopus, Q4) Hindawi. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications etc.
