Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 2 / edited by Palaiahnakote Shivakumara, Saurov Mahanta, Yumnam Jayanta Singh.

Format:

Book

Contributor:

Shivakumara, Palaiahnakote, editor.

Mahanta, Saurov, editor.

Singh, Yumnam Jayanta, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1023

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Statistics.

Cooperating objects (Computer systems).

Internet of things.

Computer networks--Security measures.

Computer networks.

Computational Intelligence.

Artificial Intelligence.

Cyber-Physical Systems.

Internet of Things.

Mobile and Network Security.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Statistics.

Cyber-Physical Systems.

Internet of Things.

Mobile and Network Security.

Physical Description:

1 online resource (610 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16–17 February 2024 in Guwahati, India. The book is organized in two volumes and covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cybersecurity and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, and assistive technology for Divyangjan (people with disabilities).

Contents:

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

3 Experiment

Design and Development of Parallel Beamformer Model for RTL Verification

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

Early Detection of Oral Cancer Using Image Processing and Computational Techniques

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

LoRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City

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

Study and Implementation of Smart Positioner Prototype for Industrial Applications

2 Related Work

3 Methodology and Project Development Stages

4 Results and Conclusion

References.

Tactile Internet: A Next Gen IoT Technology

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

A Deep Learning Approach for Hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks

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

A Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication

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

Iot-Based Transport Monitoring System for Pharmaceutical Industry

2 Proposed System

2.1 Implementation

3 Results and Discussions

4 Conclusion and Future Scope

4.1 Conclusion

4.2 Future Scope

Non-intrusive Remote Apiculture Monitoring System

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

Design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication

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

IoT Based Real-Time Automatic Number Plate Detection Using OpenCV

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

Prompt Engineering for the Automated Generation of Weaving Pattern

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

Blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm

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

Development of SPR Sensor-Based System for Copper Ion Detection in Water

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

3.1 Study of Plasmonic Shifts Using UV Spectroscopy

3.2 Electronic Outcome of SPR Variation

Digital Technologies for Future

Generation of YuBraj Twist and YuBrajTwest Weaves

2 YumnamBrajarani (YuBraj) TwistWeaves

3 Generation of YuBrajTwest Weaves

5 Conclusions

Maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study

2 Significance of Solar Water Pumps in Addressing Water Scarcity Challenges, Promoting Sustainable Irrigation Practices in Rural Areas

4 Result and Discussion

Integrative Analysis of Cancer Gene Expression Using Bio-Inspired Algorithms and Machine Learning: Identification of Key Genes

3.1 Dataset Description

3.2 Proposed Methodology

3.3 Proposed Algorithm for Gene Selection

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

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

A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs

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

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

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.

Notes:

Includes index.

ISBN:

9789819736041