Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology

Name: Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology | NICEDT-2024, Volume 2
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NICEDT-2024, Volume 2

Palaiahnakote Shivakumara Saurov Mahanta Yumnam Jayanta Singh(Herausgeber*in)

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Erschienen am 22. Juli 2024

XX, 616 Seiten

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Dr. Palaiahnakote Shivakumara is a lecturer in computer science at the University of Salford, UK. Previously, he worked as an Associate Professor in the Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia from 2013-2023. He was with the Department of Computer Science, School of Computing, National University of Singapore from 2008-2013 as a Research Fellow on Video text extraction and recognition projects.He received B.Sc., M.Sc Technology by research and Ph.D degrees in computer science respectively in 1995, 2001 and 2005 from University of Mysore, Mysore, Karnataka, India. He has published more than 300 research papers in national, international conferences and journals. He has been serving as an Editor-in-Chief for Artificial Intelligence and Applications (AIA).He has been serving as Associate Editor for IEEE Transactions on Multimedia (TMM), Pattern Recognition (PR), International Journal on Document Analysis and Recognition (IJDAR), Springer Nature of Computer Science (SNCS), ACM Transactions Asian and Low Resource Language Information Processing (TALLIP), Malaysian Journal of Computer Science (MJCS) and CAAI-Transactions on Intelligence in Technology. He received a Top Reviewer award from IEEE Transaction on Multimedia (TMM), Pattern Recognition Letters (PRL). He has been reviewer for several IEEE Transactions, Elsevier journals, CVPR, ICCV, ACMMM, ECCV, ACCV, ICDAR, DAS, ICFHR, ICPR conferences etc. He received the prestigious award "Dynamic Indian of the Millennium" by KG Foundation, Coimbatore, India. His research interests include image processing, pattern recognition, fraud document analysis and video text analysis. He is Senior Member of IEEE and IUPRAI.

Dr. Saurov Mahanta, Ph.D., is a resident of Guwahati, Assam, India, and working for the National Institute of Electronics and Information Technology, Guwahati, under the Ministry of Electronics and Information Technology, Govt. of India. Dr. Mahanta did his master's in Molecular Biology and Biotechnology from Tezpur University, Tezpur Assam, and he got the Ph.D. degree from Gauhati University, Assam, for his work on Computational Drug Discovery for Tuberculosis. Dr. Mahanta is actively involved in bioinformatics-based drug discovery works using Combinatorial Chemistry, Molecular Docking, Molecular Modeling, Molecular Dynamics, and related analysis. His research area includes structure-based drug discovery studies for COVID-19, breast and stomach cancer, Alzheimer's disease, and tuberculosis. He is also involved in Nano-informatics-based research using proteins of different pathogens. Dr. Mahanta has 16 years of research experience, and he is so far credited with 32 research publications in SCI journals, 2 edited books, and 4 international book chapters.

Prof. Yumnam Jayanta Singh is Executive Director, National Institute of Electronics and Information Technology, Govt. of India, Guwahati. He also worked with several universities in different counties, such as Don Bosco University (India), Swinburne University of Technology (Malaysia/Australia), Misurata University (Libya) with joint programs from Nottingham Trent University (England), and Skyline University (UAE) joint programs from National American University (USA). He had worked with CMM Level 5 organizations such as NTT Data (Halifax, Canada) and Tech Mahindra (Mumbai, India). Prof. Singh is Member of the Data Science Society, IASTED, EUROSIS, IETE, IEEE, etc. His research interests include Cloud Computing, Data Warehouse and Mining, Blockchain, Distributed Database Management Systems, Digital Image Processing, Software Engineering and Testing, etc. Prof. Singh has published several research papers in international and national journals and conferences. He has supervised many Ph.D. scholars and master's students. He has published 85 research publications. He is one of the founder editors of ADBU-Journal of Engineering Technology and NIELIT-International Journal of Digital Technologies. He has executed several projects of National Importance and was in the team of developing the strategy plan of skilling the youths in many emerging areas.

Inhalt

Intro
Preface
Contents
Editors and Contributors
VLSI and Semiconductors, Electronics System, IoT, Robotics and Automations
Classification of Bearing Faults by Approximation of Peak-To-Peak Amplitudes Distribution
1 Introduction
2 Materials and Methods
3 Numerical Study
4 Conclusions
References
Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs
1 Introduction
2 Materials and Methods
3 Experiment
4 Conclusions
References
Design and Development of Parallel Beamformer Model for RTL Verification
1 Introduction
2 Background
3 Development of Parallel Beamformer Model
3.1 Specifications
3.2 MATLAB® Modelling
3.3 Defining Ultrasound Transducer Using K-Wave
4 Verification of RTL Model
5 Results and Discussions
6 Conclusion
References
Early Detection of Oral Cancer Using Image Processing and Computational Techniques
1 Introduction
2 Background
3 Materials and Methods
3.1 Study Design
3.2 System Requirements and Training Parameters
3.3 Dataset Description
3.4 Feature Selection and Segmentation
3.5 Model Evaluation Metrics
3.6 Reviewing the Models Performance Individually
3.7 Performance Analysis
4 Graphic User Interface
5 Conclusion
References
LoRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City
1 Introduction
2 Literature Review
3 Methodology
3.1 Study Area
3.2 Materials Used
3.3 Architecture
3.4 Prototype Development
3.5 Novelty
4 Results and Discussions
5 Conclusion and Future Work
References
Study and Implementation of Smart Positioner Prototype for Industrial Applications
1 Introduction
2 Related Work
3 Methodology and Project Development Stages
4 Results and Conclusion
References
Tactile Internet: A Next Gen IoT Technology
1 Introduction
1.1 Literature Survey on Tactile Internet
2 Haptic Communication
2.1 Haptic Capture
2.2 Haptic Encoding
2.3 Haptic Delivery
3 Requirements
4 Architecture
4.1 Master Domain
4.2 Controlled Domain
4.3 Network Domain
5 Communication Technology for TI
6 Comparison
7 Application
7.1 Telepresence with Tactile Feedback
7.2 Industrial Automation
7.3 Healthcare
7.4 Autonomous Driving
8 Research Issues
8.1 Latency Reduction in TI Application
8.2 Architectural Issues
8.3 Resource Allocation in TI
8.4 Haptic Communication
8.5 Augmented/Virtual Reality Issues
9 Network Simulations
10 Conclusion
References
A Deep Learning Approach for Hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks
1 Introduction
2 Methodology
2.1 Parsing the Hardware
2.2 Generation of Hardware Schematics
2.3 Transformation of Graphviz Graphs
2.4 Management of Hardware Configuration
2.5 GNN Model
3 Dataset and Model
4 Experimental Results
5 Conclusion
References
A Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication
1 Introduction
1.1 JPEG
1.2 JPEG 2000
1.3 Modified Jpeg Based on DCT
1.4 Modified Jpeg Based on DST
2 Discrete Wavelet Transform (DWT)
3 Performance Evaluation Parameter Metrics
3.1 MSE
3.2 PSNR
3.3 Quantization in JPEG
4 Results and Discussion
5 Conclusion
References
Iot-Based Transport Monitoring System for Pharmaceutical Industry
1 Introduction
2 Proposed System
2.1 Implementation
3 Results and Discussions
4 Conclusion and Future Scope
4.1 Conclusion
4.2 Future Scope
References
Non-intrusive Remote Apiculture Monitoring System
1 Introduction
2 Project Design
2.1 Using Arduino Uno Microcontroller
2.2 Using ARM Cortex Microcontroller
2.3 Implementation
2.4 Implementation Using Arduino Uno Microcontroller
2.5 Implementation Using ARM Cortex Microcontroller
3 Results and Discussions
4 Conclusion and Future Scope
4.1 Conclusion
4.2 Future Scope
References
Design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication
1 Introduction
2 Antenna Design and Methodology
3 Result and Analysis
3.1 Bandwidth
3.2 VSWR
3.3 Gain
3.4 E-Field Distribution
3.5 Radiation Pattern
4 Conclusion
References
IoT Based Real-Time Automatic Number Plate Detection Using OpenCV
1 Introduction
2 Objective
3 Related Work
4 Proposed System
5 Module
6 Flow Diagram
7 Block Diagram
8 Implementation
8.1 Image Acquisition
8.2 Loading Model Using OpenCV DNN
8.3 Detection of Plate
8.4 Cropping ROI
8.5 Image Processing and Extraction of Characters Using OCR
8.6 Data Uploading
8.7 Uploading Resultant Images
8.8 Dashboard
9 Hardware Implementation
9.1 Hardware Component Used
9.2 Hardware Setup
10 Result
11 Conclusion
12 Future Scope
References
Prompt Engineering for the Automated Generation of Weaving Pattern
1 Introduction
2 Literature Review
3 Weave Pattern Representation
3.1 Draft Notation
3.2 Point Paper Drafting
3.3 Weaving Information Format
3.4 Threaded Diagrams
3.5 Code Representation
4 Prompt Engineering
5 Proposed Method
6 Experimental Result
7 Conclusion
References
Blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm
1 Introduction
2 Literature Survey
3 Machine Learning
3.1 Supervised Learning
3.2 Unsupervised Learning
3.3 Reinforcement Learning
4 Blood Diseases
4.1 Anemia
4.2 Thrombocytopenia
4.3 Hemochromatosis
4.4 Leukocytosis
5 Proposed Methodology
5.1 Data Set
5.2 Techniques Used by Disease Detection System
5.3 Disease Detection System Using Haemogram Report Dataset
6 Experiment Results
7 Conclusion and Future Work
References
Development of SPR Sensor-Based System for Copper Ion Detection in Water
1 Introduction
2 Experimental Setting
2.1 Synthesis of Gold Nanoparticles
2.2 Preparation of Copper Univar Solution
2.3 Observation of SPR Peak Shift in UV Spectroscopy
2.4 Design of Optoelectronic Setup
3 Results and Discussions
3.1 Study of Plasmonic Shifts Using UV Spectroscopy
3.2 Electronic Outcome of SPR Variation
4 Conclusion
References
Digital Technologies for Future
Generation of YuBraj Twist and YuBrajTwest Weaves
1 Introduction
2 YumnamBrajarani (YuBraj) TwistWeaves
3 Generation of YuBrajTwest Weaves
4 Experimental Results
5 Conclusions
References
Maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study
1 Introduction
2 Significance of Solar Water Pumps in Addressing Water Scarcity Challenges, Promoting Sustainable Irrigation Practices in Rural Areas
3 Methodology
4 Result and Discussion
5 Conclusion
References
Integrative Analysis of Cancer Gene Expression Using Bio-Inspired Algorithms and Machine Learning: Identification of Key Genes
1 Introduction
2 Literature Survey
3 Materials and Methods
3.1 Dataset Description
3.2 Proposed Methodology
3.3 Proposed Algorithm for Gene Selection
4 Results and Discussion
4.1 Occurrences in NB Classifier
4.2 Occurrences in NC Classifier
4.3 Occurrences in kNN Classifier
4.4 Occurrences in SVM Classifier
4.5 Occurrences in RF Classifier
5 Conclusion
References
Potential of AI in Pharma: Bridge the Gap Between Data and Therapeutics
1 Historical Perspective
1.1 Drug Designing
1.2 Artificial Intelligence in Drug Designing
2 Artificial Intelligence and Machine Learning
2.1 Supervised Learning
2.2 Unsupervised Learning
2.3 Reinforcement Learning
2.4 Semi-supervised Learning
2.5 Deep Learning
3 AI in Drug Discovery
3.1 Target Identification and Validation
3.2 Molecule Design and Optimization
3.3 Clinical Trials and Personalized Medicine
4 AI and ML in Predicting Drug Properties
4.1 Harnessing Big Data for Drug Discovery
4.2 Accelerating Drug Screening and Optimization
4.3 Predicting Drug Safety and Side Effects
4.4 Personalized Medicine and Targeted Therapies
5 Proposed AI and ML Algorithm's
5.1 Data Preprocessing
5.2 Target Screening Prediction
5.3 3D Structure Prediction
5.4 Simulated Structure Prediction
6 Challenges of AI and ML in Pharmaceuticals
6.1 Data Quality and Accessibility
6.2 Model Interpretability and Explainability
6.3 Regulatory and Ethical Considerations
6.4 Overcoming the Validation Gap
6.5 Integration with Existing Workflows
References
A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs
1 Introduction
2 Simulation of Flow Phantom Using FIELD-II
3 Imaging of Simulated Flow Phantom Using MATLAB
4 US Imaging Implementation in QT Using Conventional C++?and Intel IPPs
5 Results
6 Conclusion
References
Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein-protein Interaction Network
1 Introduction
2 Basic Definition
3 Proposed Work
3.1 Deep Reach Centrality and Its Significance
3.2 Deep Reach Centrality Matrix
3.3 Similarity and Dissimilarity Analysis of the Proposed Centrality Measure 'Deep Reach Centrality' with 13 Existing Degree-Based and Distance-Based Centrality Measures
3.4 Unsupervised Learning Method: PCA-Based Dimensionality Reduction
4 Conclusion
References
Gaussian Noise Removal in Handloom Images via Edge-Adaptive Total Variation Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Gaussian Noise
3.2 Median Filter
3.3 Adaptive Total Variation Model
3.4 Edge-Adaptive Total Variational Model
4 Experimental Results
5 Conclusion
References
An Overview of Optimization Methods in Leaf Defect Detection
1 Introduction
2 Related Works
3 Optimization Techniques
3.1 Genetic Algorithm
3.2 Particle Swarm Optimization
3.3 Glow Swarm Optimization
3.4 Whale Optimization Algorithm
3.5 Sine Cosine Algorithm
3.6 Grasshopper Optimization Algorithm
3.7 Grey Wolf Optimization
3.8 MultiVerse Optimization
4 Conclusions
References
Homology Modeling and Molecular Dynamics (MD) Simulation Study of COI Gene in Gray's stone loach Balitora Brucei Gray, 1830
1 Introduction
2 Materials and Methods
2.1 Isolation of Genomic DNA
2.2 Primer
2.3 Protocol Adapted
2.4 Qualitative Data Analysis
2.5 Agarose Gel Electrophoresis
2.6 Polymerase Chain Reaction (PCR)
2.7 Analysis of the Sequence
2.8 Homology Modeling
2.9 Template Sequence Search
2.10 3D Structure Predictions
2.11 Model Assessment
2.12 Energy Minimization and MD Simulation
2.13 Data Analysis and Presentation
3 Results and Discussion
3.1 DNA Processing Results
3.2 Template Selection
3.3 Model Generation
3.4 Model Assessment
3.5 Analysis of QMEAN6
3.6 Energy Minimization and MD Simulation
4 Conclusion
References
Epidemic Modeling and Applications of Lagrangian Model Through MATLAB Tool
1 Introduction
2 Lagrange's Equation and Partial Lagrangian Model
2.1 Chicken Pox Disease and Epidemiology in Kamrup (Metro), Assam, India
2.2 Establishment of Dynamic Nature of Present SIR Model Using Lagrangian Approach
3 Conclusion
References
Nanomaterials for Wound Healing Applications: A Review
1 Introduction
1.1 Wound Healing Process
1.2 Nanotechnology in Wound Healing
2 Conclusion
References
Impact of Repair and Maintenance of Hospital Equipment on Health Services in Government Hospitals in North-Eastern Region of India
1 Introduction
2 Methodology
3 Results and Discussions
3.1 Categories of Hospitals and Their Geographical Distribution
3.2 Non-functional Electro Medical Devices
3.3 Cause of Breakdown and Type of Maintenance Done
3.4 Analysis of the Impact of Repair and Maintenance
4 Conclusion
References
Assistive Technology for Divyangjan (People with Disabilities)
Virtual Assistant and Navigation for the Visually Impaired Using Deep Neural Network and Image Processing
1 Introduction
2 Review of Literature
3 Proposed System
4 Methodology
5 Simulation Results
6 Conclusion
References
Design and Implementation of Deep Learning Assisted Smart Wheelchair
1 Introduction
2 Literature Review
3 Methodology
3.1 Manual Control Mode
3.2 Remote Control Mode Using ESP Now Protocol
3.3 Mobile Application with Dongle Mode
3.4 AI-Based Movement
4 Data Preparation and Dataset Description
4.1 Model
5 Results and Discussion
5.1 Manual Control Mode
5.2 Remote Control Mode Using ESP Now Protocol
5.3 Mobile Application with Dongle Mode
5.4 AI-Based Movement
6 Conclusion
References
Enhancing Accessibility for the Visually Impaired: A Multimodal Approach
1 Introduction
2 Methodology
2.1 Image Captioning with Clip
2.2 Object Detection Using YOLO
2.3 Weather and Location API
2.4 Paraphrasing Using BART
2.5 Text to Speech with GTTS
3 System Requirement
3.1 Hardware Requirements
3.2 Software Requirements
4 Result
4.1 Outdoors with People
4.2 Random Objects
4.3 Outdoors with a Person and Object
4.4 Indoors in Concealed Environment
4.5 Indoors with Less Visibility
5 Conclusion and Future Scope
References
An Advanced Object Detection and Face Recognition System to Assist Visually Impaired People
1 Introduction
2 Literature Review
3 Methodology
3.1 Image Acquisition
3.2 Object Detection
3.3 Face Recognition
3.4 Model Evaluation
4 Results and Analysis
5 Conclusion and Future Scope
References
Digital Sign Language Interpreter to Let World Learn and Communicate-A Developmental Approach
1 Introduction
2 Problem Statement
2.1 Selecting a Template
3 Procedure
4 Results
References
Exploring the Challenges and Opportunities of Making STEM More Accessible to Specially-Abled Persons Using Assistive Technology
1 Introduction
1.1 A Subsection Sample
2 Literature Review
2.1 STEM Accessibility and Challenges
2.2 Assistive Technology
2.3 Benefits of Using Assistive Technology in Special Education
2.4 Impacts of Using Assistive Technology in Special Education
3 Few Methodologies
4 Possible Future Directions
5 Conclusion
References
Designing a Robust Concealer for Emotion Detection Using Various Paradigms for Machine Human Interaction
1 Introduction
2 Related Work
3 Methodology for Proposed Framework
3.1 Pre-processing
3.2 Feature Extraction from EEG Data
4 Statistical Features
4.1 Mean
4.2 Variance
4.3 Extracting Features Out of the Video-Clips
4.4 Fused Features
4.5 Emotion Classification
4.6 SVM
4.7 KNN
4.8 Ensemble Strategy
4.9 Experimental Discussion
4.10 Compilation of a Dataset
5 Assessment Metrics
6 Limitations of Cross-Subject Sentiment Identifications
7 Data Integrating and Standardisation
7.1 Results, Reflections, and Future Work
7.2 Comparison with Present Approaches
7.3 Conclusion Based on DEAP Database
8 Generalizability of the Proposed Modal
References
Automatic Schizophrenia Detection Using Discrete Wavelet Transform from EEG Signal
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Proposed Methodology
3.2 Dataset Description
3.3 Data Pre-processing
3.4 DWT
3.5 Dimensionality Reduction by PCA
3.6 ML Models
3.7 DL Models
4 Results and Discussion
4.1 Performance of DWT with ML Models in Detecting SZ
4.2 Performance of DL Models with DWT Transform for SZ Detection
5 Conclusion
References
Strategy for Digital Skilling for Building a Global Future Ready Workforce
An Emerging Area of Research: Building an Assamese AI Chatbot for Educational Institutions Using Bi-LSTM Model
Abstract
1 Introduction
1.1 Overview
1.2 Significance of AI Chatbot in Educational Institutions
1.3 Assamese Language Overview
1.4 The Need for AI Chatbot in the Assamese Language
1.5 Issues and Challenges Related to AI Chabot in the Assamese Language
1.6 Contribution of This Research Study
2 Survey of Literature
3 Methodology
3.1 Dataset
3.2 Data Preprocessing
3.3 Split Dataset
3.4 Feature Extraction
3.5 Training
3.6 Testing
4 Result and Discussion
5 Conclusion
References
Streamlining Examination Seating Arrangements Through Prompt Engineering: An Innovative Approach
1 Introduction
2 Literature Survey on AESA
3 Proposed Method
4 Experimental Results
5 Conclusion
References
Large Language Model in Various Fields: Opportunities, Challenges and Risks
1 Introduction
2 Agriculture Field
3 Climate Domain
4 Finance Sector
5 Education Domain
6 Limitation
7 Conclusion
References
Resume Summarization-An Application of Generative AI
1 Introduction
1.1 Natural Language Processing
1.2 Recurrent Neural Network
1.3 Transformers
1.4 Generative AI
2 Survey of Literature
3 Data Collection
4 System Design
5 Proposed Work
5.1 Data Preprocessing
5.2 Tokenization
5.3 Transformer Model
5.4 TF-IDF Model
5.5 Pegasus Paraphraser
6 Results and Evaluations
7 Conclusion
References
Author Index

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