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/).
ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University.
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 IOTs 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
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.
