Intelligent Communication, Control and Devices

Proceedings of ICICCD 2024
2024
ISBN: 978-981-97-8328-1
Verlag: Springer Nature Singapore

Buch, Englisch, Band 1164, 974 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1486 g

Reihe: Lecture Notes in Networks and Systems

This book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences. It includes high-quality research papers from the 6th International Conference on Intelligent Communication, Control and Devices (ICICCD 2024), organized by the Department of Electrical & Electronics Engineering, School of Advanced Engineering, at UPES, Dehradun, India, during May 30–31, 2024. The topics covered are a range of recent advances in intelligent communication, intelligent control, intelligent devices, and sustainable technologies.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Adesh

Kuchhal, Piyush

Pachauri, Rupendra Kumar

Mishra, Ranjan

Fachgebiete

• Naturwissenschaften Physik Elektromagnetismus Optik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Elektronische Baugruppen, Elektronische Materialien
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Design of Compact Dual-Band Antenna with Single-Layered AMC for Wearable Devices.- Virtual Health Assistance using Medical Computer Vision.- Treatment of Mood Swings Using AI.- Advancing Lung Cancer Detection with YOLO NAS: A Novel Approach for Enhanced Diagnostic Accuracy.- Optimized Grid Integration of Solar PV and EVs: A Dynamic State-based Energy Management Strategy.- Multiple Intrusion Detection in Complex Cloud Environments Using Random Forest and Deep Learning on the UNSW-NB15 Benchmark Datasets.- Real Time Power Estimation and Monitoring of an IoT Node Using MQTT.- Exploring MIMO-NOMA: Enhancing Multi-User Communication with Power Allocation.- A Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging.- Revolutionizing Medical Applications: IOT-based IVF Monitoring.- AI Virtual Mouse: Revolutionizing Human Computer Interaction.- A Wideband Monolayered Graphene-Based Microstrip Patch Antenna for THz-Frequency Applications.- A Monolayered Graphene-Based Microstrip Patch Antenna for Optimal Performance in the Mid-THz Band.- Kinematic Analysis and Modeling of the Gait by Parametrization of the Body Trajectories of 18 Degree of Freedom Hexapod Robots using Reinforcement Learning.- Modernized Ration Distribution System with Integrated Mobile Accessibility.- Multiple Device-Based Geo-Position Spoofing Detection in Instant Messaging Platform with Residual Noise Extraction using DRN.- Compact Circular Patch Grid Array Antenna for Medical Imaging Applications.- Driver Drowsiness Detection System: An Integrated Vision-Based Approach.- Development of Bit synchronizer for Remote Sensing Satellite Data.- Design And Optimization of Compact Wideband Yagi-Uda Antenna for V2V Communication.- Advancing Object Discovery: Unveiling the Power of YOLO in Computer Vision Applications.- Ambulance Precedence Integrated Traffic Management System.- Performance Analysis of Crossbar in NOC through Booksim Simulator.- A Table Lamp Shaped Compact Tri-Band Antenna for Various Wireless Technologies.- Optimizing Agricultural Health: Early Detection and Classification of Crop Diseases through Hyperspectral Imaging and Convolutional Neural Networks.- A comprehensive Analysis of ABE Access Control Mechanisms in Cloud Environment.- Stock Forecasting Using LSTM Neural Networks.- Feature Extraction and Machine Learning in Plant Disease Detection: A Survey.- Emerging Paradigms in Intelligent Query-Dependent Video Summarization: A Comprehensive Review.- Design of a 402-405 MHz Implantable Monopole Antenna at Medical Implant Communication Band for Bio-Telemetry Applications.- Real time Health Monitoring System by integrating Augmented Reality and Internet of Things.- Automatic Facial Makeup Detection for Device Security Using Machine Learning.- Early Disease Prediction in Women using Artificial Intelligence.- A Security Model for the Enhancement of Mobile Security.- Analysis of YOLO v5 for detection of multiple defects in PCB.- Structural enhancements and challenges from FINFET to 2D material based GAANSFET: A Review.- A Review of Deep Learning Techniques for Early Detection and Categorization of Lung Cancer.- Design and Analysis of Compact UWB Circular Ring Planar Antenna for mmWave FR-II NR Bands n259, n262, n263 (V-Band) and n260 (Ka-Band) for 5G Applications.- Handwritten Character Recognition with Convolution Neural Network.- Design and Analysis of a Compact Microstrip Antenna for WBAN Applications.- A Comprehensive Survey of Methods for Identifying Counterfeit Banknotes using Image Processing and Machine Learning.- Soil Moisture Prediction Analysis for Intelligent and Efficiency Control.- AI-Enabled Program Management System for BTFEC.- A Review of Image segmentation with Language Models for visual impairments.- Leveraging Blockchain Technology for Secure and Efficient Smart City Applications.- Research on AI Driven Advanced Solution for Plant Leaf Disease Detection.- Aperture Coupled Feed Patch Antenna For 5G Application.- Simulation Based Analysis of Ultra-Wideband, High Efficiency Monopole Antenna High Efficiency Monopole Antenna Using Frequency Selective Surfaces as a Reflector for Sub 6 GHz Band Applications.- NLP Comparative Analysis of Different Models for Sarcastic and Non-Sarcastic Text Detection.- Design of a Wideband Metamaterial Inspired Microwave Absorber Implementing Anti-Symmetric Geometries.- Transfer Learning-Based Fault Classification Methods for Solar Photovoltaic Modules.- A Circular Patch Wideband Antenna Design for IoT Applications in New Radio Bands: Enhancing Connectivity and Versatility.- Performance Analysis of Machine Learning Algorithms for Optimize Rainfall Prediction.- Soft Computing and Machine Learning application on Water Quality Prognostication.- Computer-Vision based Weed Killing Rover.- Transfer Learning for Enhancing Computer Vision.- Sign Language Transformation: AI-Enabled Communication for the Deaf.- Integrated Agricultural Decision Support System Leveraging Random Forest for Crop Prediction and Efficient Net B0 for Disease Prediction.- Person Re-Identification with CNN ResNet Spatial Temporal Stream.- Area and Power Estimation of Comparator Block for FPGAs.- Utilizing Convolutional Neural Networks for the Detection of Early-Stage Leaf Diseases in Potato Crops.- Literature Survey on Chatbot: Tools and Techniques.- Genetic Algorithm Optimization based PID Tuning for Basis Weight Control for Spatial Distributed System.- Smart Transportation Using Internet of Things (IoT).- Study of Different Types of Controllers on the Boost Converter.- Challenges and solutions towards Classification of Brain Tumour in MRI Images Implementing Capsule Network Model: A Short Review.- 3D printed solar cell: A short review.- Intelligent Hand Gesture Recognition using a Multichannel Surface Electromyography.- Frequency Coded Waveforms for Closely Spaced Target Detection.- IoT based wireless electric vehicle charging station.- Solar and Wind Based Charging System for Electric Vehicles.

Über Autor(innen)

Dr. Adesh Kumar is working as  in the Department of Electrical & Electronics, Engineering, and Research Coordinator at  School of Advanced Engineering, UPES, Dehradun, India. Dr. Kumar has 16 years of teaching, industry, and research experience. He completed B.Tech in Electronics & Communication Engineering from Uttar Pradesh Technical University Lucknow, India, in 2006, M.Tech with distinction in Embedded Systems Technology, from SRM University, Chennai, in 2008, and Ph.D. (Electronics Engineering) from UPES, Dehradun, India, in 2014. He has also worked as Senior Engineer in TATA ELXSI LIMITED Bangalore and Faculty Member at ICFAI University, Dehradun. His areas of interest are VLSI design, embedded systems design, telecommunications, and signal processing. He has published more than 100+ research papers in international peer-reviewed journals (SCI/Scopus) and conferences having more than 2500+ citations, h-index-25, i-10 index-50.

Dr. Rupendra Kumar Pachauri is an expert in the area of renewable energy technology and electrical hybrid power generation systems. His major research contribution is based on hydrogen fuel cell power generation, energy management, advanced strategies for photovoltaic systems (stand-alone: ground-mounted and floating photovoltaic systems) for power enhancement during adverse environmental conditions (dust aerosol, partial shading conditions), and power generation forecasting using artificial intelligence and machine learning techniques. Dr. Pachauri is a distinguished academic and an associate professor holding an esteemed position within the Electrical Cluster Department at UPES Dehradun, India. Dr. Pachauri was associated with the Asian Institute of Technology, Thailand, during his post-doctoral fellowship from June 2022 to August 2023. In 2023, Dr. Pachauri was recognized as one of the world's top 2% scientists by Stanford University and Elsevier.

Dr. Ranjan Mishra has 24 years of teaching, administrative, and research experience. He did his graduation and post-graduation from the University of Burdwan in 1995 and 1999, respectively. He claims to have teaching and administrative experience from some leading universities in this country. Dr. Mishra led many administrative profiles. He is currently the program lead of the electrical cluster. His work has a strong connection with all colleagues and the ethics of work first for the benefit of the students, department, and university. Dr Mishra also supervised a couple of Ph.D. students. Since his doctorate in 2016, he has had more than 50 Scopus-indexed publications and 10 SCI/SCIE indexed.

Prof. Piyush Kuchhal has extensive experience in education, research, and administration. With more than 22 years of experience, he has flourished in a wide range of positions and demonstrated exceptional expertise in his field. He holds a Ph.D. in Physics from the IIT Roorkee and an M.S. in Physics with a concentration in Engineering Physics from the same institution. His exceptional academic achievements throughout his education prove his commitment to excellence. Prof. Piyush has held significant positions of leadership within academic institutions. He oversaw operations, curriculum design, and academic quality as Cluster-Head of Electrical Engineering at UPES. In addition, he has held the positions of Academic Coordinator, Associate Dean of Applied Sciences, and Department Head of Physics. Moreover, he is a committed and accomplished professional with expertise in teaching, research, and administrative administration.