Proceedings of Third International Conference in Mechanical and Energy Technology

Name: Proceedings of Third International Conference in Mechanical and Energy Technology | ICMET 2023, India
Brand: Springer
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ICMET 2023, India

Sanjay Yadav P. K. Arora Anuj Kumar Sharma Harish Kumar(Editor)

Springer (Publisher)

1st Edition

Published on 2. August 2024

XIV, 559 pages

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978-981-97-2716-2 (ISBN)

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Prof. (Dr.) Sanjay Yadav obtained his master's degree in science (M.Sc.) in 1985 and his Ph.D. degree in Physics in 1990. Presently, he is working as Editor-in-Chief (EIC) of the MAPAN: The Journal of Metrology Society of India. He is also Vice Presi-dent of the Metrology Society of India (MS), New Delhi, as well as Vice President of the Ultrasonic Society of India (USI), New Delhi. He is Former Chief Scientist and Head of the Physico Mechanical Metrology Division of NPL and also Former Professor at the Faculty of Physical Sciences, Academy of Scientific and Innovative Research (AcSIR), HRDG, Ghaziabad. He has taught "Advanced Measurement Techniques and Metrology" courses, taken practical classes and supervised graduate, master and Ph.D. students since 2011. He is Recipient of several awards and scholarships of National and international repute. He has significantly contributed to the field of pressure metrology, biomedical instrumentation, ultrasonic transducers and instrumentation systems. His current research interests include research and developmental activities in physico-mechanical measurements; establishment, realization, maintenance and up-gradation of national pressure and vacuum standards; dissemination of national practical pressure scale to users through apex level calibration, training and consultancy services; inter-laboratory comparisons, proficiency testing program and key comparisons; implementation of quality system in the laboratory as per ISO/IEC 17025 standard and finite element analysis (FEA) and Monte Carlo simulations for pressure balances. He has published more than 500 research papers in national and international journals of repute and conferences, 20 books, 14 patents and copyrights, supervised eight PhDs (another five in waiting) and drafted several projects, scientific and technical reports, documents and policy papers.

Dr. P. K. Arora is Professor and Head at the Mechanical Engineering Department of Galgotias College of Engineering and Technology, Greater Noida, India. He received his Ph.D. in Mechanical Engineering from Jamia Millia Islamia, New Delhi, in 2014. With 22 years of academic experience, his main research areas are industrial engineering and optimization. Dr. Arora has published more than 55 papers in international journals and conference proceedings. He has also served as Editor to Smart Innovation Systems and Technologies (Springer), Material Todays: Proceedings, Journal of Engineering Research, Kuwait.

Dr. Anuj Kumar Sharma completed his B.E. (Mechanical Engineering), M.Tech. (Mechanical Engineering), and Ph.D. from Indian Institute of Technology (ISM) Dhanbad, India, in the field of machining with nano-cutting fluids in 2017. Dr. Sharma is Coordinator of Mechatronics and Manufacturing Technology & Automation Programs at Centre for Advanced Studies AKTU Lucknow. He is Associate Dean Innovation & Incubation and Post Graduate Studies & Research of AKTU Lucknow.

Dr. Harish Kumar is currently working as Associate Professor in the mechanical engg. department and Dean academic at the National Institute of Technology, Delhi. He has more than 20+ years of research and academic experience and has served as Scientist at different grades in CSIR - National Physical Laboratory, India (NPLI). He has been an active Researcher in the area of mechanical measurement and metrology. He has worked as Guest Researcher at the National Institute of Standards and Technology, USA, in 2016. He has been instrumental in the ongoing redefinition of the kilogram in India. He has authored more than 100 publications in peer-reviewed journals and conferences. He is Active Reviewer of many reputed journals related to measurement, metrology, and related areas. He has served as Guest Editor of different peer-reviewed journals.

Content

Intro
Preface
Contents
About the Editors
1 Performance Analysis of Multiple Leaf Disease Detection in Plants Using CNN Model
1.1 Introduction
1.2 Related Work
1.3 Proposed Work
1.3.1 Disease Detection Model
1.3.2 Data Collection and Preprocessing:
1.4 Testing Data
1.4.1 Data Preparation
1.4.2 Max-Pooling Layers in CNN
1.4.3 Classification
1.4.4 Web Application Development
1.4.5 Android Development
1.5 Testing Module
1.6 Results & Discussion
1.7 Conclusion
References
2 Feasibility Assessment of 100 kW Solar Power Plant in a Sub-tropical Region: A Case Study of New Delhi India
2.1 Introduction
2.2 System Configuration
2.3 Techno-Economic Analysis Procedure
2.4 Result and Discussion
2.5 Conclusion
References
3 A Numerical Investigation on Estimation and Validation of Power Law Constants for TiB2 Reinforced AA2024 Composite Material
3.1 Introduction
3.2 Determination of Power Law Constants for FEA Analysis
3.3 Modeling and Simulation of AA2024/6wt%TiB2 Tensile Behavior
3.4 Result and Discussion
3.4.1 Plastic Flow Behavior of AA2024/6wt.%TiB2 Composite Material Composition
3.4.2 Validation of Power Law Constants
3.5 Conclusion
References
4 Power Flow Control of the Grid-Integrated DG System Using Hybrid Aquila Optimizer-Tangent Search Algorithm
4.1 Introduction
4.2 Hybrid DG System
4.2.1 Current Control Strategy
4.3 Hybrid Aquila Optimizer-tangent Search Algorithm
4.4 Simulation Results
4.4.1 Scenario 1: Uneven Grid Voltages with an Equal Three Phase Load
4.4.2 Scenario 2: Equal Grid Voltages with an Uneven Load
4.5 Conclusion
References
5 Design and Analysis of Manual Pallet Stacker by Using FEM Method
5.1 Introduction
5.2 Modeling and Simulation
5.2.1 Boundary Requirements
5.3 Result and Discussion
5.4 Conclusions
5.5 Future Scope
References
6 Design and Development of an IoT Counter Using ESP8266 for 6 Axis MIG Welding Robot
6.1 Introduction
6.2 Methodology
6.3 Result
References
7 In-Depth Examination of the Mechanical Properties of AA6061/MoS2/SiC Hybrid Composites
7.1 Introduction
7.2 Material and Methods
7.2.1 Aluminium 6061
7.2.2 Silicon Carbide (SiC)
7.2.3 Molybdenum Disulphide (MoS2)
7.3 Sample Preparation
7.4 Results and Discussion
7.4.1 Microstructural Analysis
7.4.2 Tensile Test
7.4.3 Hardness Test
7.4.4 Impact Test
7.5 Conclusion
References
8 Optimization of Microchannel Heat Sink Shapes to Enhancing Electronic Cooling Efficiency
8.1 Introduction
8.2 Methodology
8.2.1 CAD Model
8.2.2 Material Selection
8.2.3 Meshing
8.3 Result and Discussion
8.3.1 Thermal Analysis
8.4 Conclusions
References
9 Empowering Next-Generation Energy Infrastructure Through IoT for Climate Resilience
9.1 Introduction
9.1.1 Objective of Study
9.2 Literature Review
9.2.1 Key Components of an Internet of Energy (IoE) for IoT in Energy
9.2.2 The "Internet of Things"
9.3 Methodology
9.3.1 Sensor Technology
9.3.2 Actuators
9.3.3 Technologies for Communication
9.3.4 Data from IoT and Computing
9.4 Results and Discussion
9.4.1 Energy Generation and IoT
9.4.2 City Smarts
9.5 Conclusion
References
10 Safeguarding Cryptocurrency Transactions: Leveraging Blockchain and Machine Learning for Enhanced Financial Security
10.1 Introduction
10.1.1 Objective of Study
10.2 Literature Review
10.2.1 A Few Fundamentals of Blockchains
10.2.2 Machine Learning
10.3 Methodology
10.3.1 Framework of the Study
10.3.2 Dataset
10.3.3 K-Mean Clustering Technique
10.3.4 The Methods of Machine Learning that Were Examined
10.3.5 Evaluation Technique
10.4 Results and Discussion
10.5 Conclusion
References
11 Utilizing Machine Learning for Advanced Natural Language Processing and Sentiment Analysis in Social Media Platforms
11.1 Introduction
11.1.1 Machine Learning for Sentiment Analysis
11.1.2 Machine Learning for Natural Language Processing (NLP)
11.1.3 Research Objectives
11.2 Literature Review
11.2.1 Advances in Machine Learning for Analyzing Sentiments
11.2.2 Advances in Machine Learning for NLP
11.3 Methodology
11.3.1 Proposed Approach
11.3.2 Supervised Machine Learning Methods for NLP and Sentiment Analysis
11.3.3 Unsupervised Machine Learning Methods for NLP and Sentiment Analysis
11.4 Results and Discussion
11.4.1 Performance Evaluation
11.4.2 Analyses of Various Classifiers
11.5 Conclusion
References
12 Improving Image Clarity with Artificial Intelligence-Powered Super-Resolution Methods
12.1 Introduction
12.1.1 Beginning to Super-Resolution Techniques Based on Artificial Intelligence
12.1.2 Contributions and Significance
12.1.3 Research Objectives
12.2 Literature Review
12.2.1 Examining Current Developments in AI-Powered Super-Resolution Methodologies
12.2.2 Super-Resolution (SR)
12.3 Research Methodology
12.3.1 Deep Learning Architectures
12.3.2 Training Datasets
12.3.3 Loss Functions
12.3.4 Upscaling Algorithms
12.3.5 Generative Adversarial Networks (GANs)
12.3.6 Attention Processes
12.3.7 Methods of Post-Processing
12.3.8 Real-Time Super-Resolution
12.4 Results and Discussion
12.4.1 Evaluating and Comparing Different Deep Learning Architectures Used in Super-Resolution
12.4.2 Visual Illustration of Improved Pictures
12.5 Conclusion
References
13 Revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency
13.1 Introduction
13.2 Literature Review
13.3 Research Methodology
13.4 Results and Discussion
13.5 Conclusion
References
14 Harnessing Medical Databases and Data Mining in the Big Data Era: Advancements and Applications in Healthcare
14.1 Introduction
14.2 Literature Review
14.3 Research Methodology
14.4 Results
14.5 Challenges
14.6 Conclusion
14.7 Future Scope
References
15 Machine Learning-Powered Design and Implementation for Classification of Missing Data in IoT Applications
15.1 Introduction
15.2 Literature Review
15.3 Research Methodology
15.4 Results
15.5 Conclusion
15.6 Challenges
15.7 Future Scope
References
16 IoT-Based Security Detection for Cloud Web Applications: Leveraging Internet of Things Approaches
16.1 Introduction
16.1.1 Research Gap
16.2 Literature Review
16.3 Research Methodology
16.4 Results
16.5 Conclusion
16.6 Future Scope
References
17 Exploring Ethical Considerations: Privacy and Accountability in Conversational Agents like ChatGPT
17.1 Introduction
17.2 Research Methodology
17.3 Results
17.4 Discussion
17.5 Conclusion
17.6 Challenges
References
18 Navigating Cross-Lingual Natural Language Processing: Challenges, Strategies, and Applications
18.1 Introduction
18.1.1 Research Objectives
18.2 Literature Review
18.3 Methodology
18.3.1 Research Configuration
18.3.2 Assessment Activities
18.3.3 Implementation
18.4 Results and Discussion
18.4.1 Wide Cross-Lingual Transfer
18.4.2 Limitations and Difficulties
18.5 Conclusion
References
19 Fostering Understanding: Bridging the Gap Between Black-Box Models and Human Interpretability with Explainable Artificial Intelligence
19.1 Introduction
19.1.1 Research Objectives
19.2 Literature Review
19.3 Methodology
19.3.1 Data Pre-Processing
19.3.2 Classification Assessment
19.3.3 Clustering Assessment
19.3.4 Explanation Assessment
19.4 Results and Discussion
19.4.1 Outcomes of Classification
19.4.2 Outcomes of Clustering
19.4.3 Outcomes of Explanation
19.4.4 Discussion
19.5 Conclusion
References
20 Semantic Analysis and Machine Learning Techniques for Enhancing Content-Based Image Retrieval
20.1 Introduction
20.1.1 Research Objectives
20.2 Literature Review
20.3 Methodology
20.3.1 Extraction of Features and LNP
20.3.2 Suggested CBIR with ML Techniques
20.4 Results and Discussion
20.4.1 Color Dataset
20.4.2 Texture Dataset
20.4.3 Face Dataset
20.5 Performance Evaluation
20.6 Outcomes
20.6.1 Test 1
20.6.2 Test 2
20.7 Conclusion
References
21 Examining ChatGPT's Impact: Challenges, Opportunities, and Future Directions for Enhancing Educational Experiences
21.1 Literature Review
21.2 Research Methodology
21.3 Results
21.4 Discussion
21.5 Conclusion
References
22 Advancing Beyond Contextual Embeddings: Innovations in Word and Document Representations for Natural Language Processing
22.1 Introduction
22.2 Literature Review
22.3 Research Methodology
22.4 Results
22.5 Conclusion
References
23 Combatting Cybercrimes: Leveraging Natural Language Processing for Detection in Social Media
23.1 Introduction
23.2 Literature Review
23.3 Research Methodology
23.4 Results
23.5 Discussion
23.6 Conclusion
References
24 Constructing an Evaluation Framework for English Teaching in Higher Education: Integrating Neural Networks and Natural Language Processing
24.1 Introduction
24.2 Literature Review
24.3 Research Methodology
24.4 Results and Discussions
24.5 Discussion
24.6 Conclusion
24.7 Challenges
24.8 Future Scope
References
25 Exploring Recent Advances and Applications Across Sectors: A Natural Language Processing Perspective
25.1 Introduction
25.2 Literature Review
25.2.1 Uses for Natural Language Processing
25.3 Methodology
25.4 Results and Discussion
25.4.1 Assessment of Model
25.4.2 Challenges in NLP
25.5 Conclusion
References
26 Charting the Path of Futuristic Support Tools: Opportunities, Challenges, Recent Advances, and Future Directions in the Era of ChatGPT
26.1 Introduction
26.2 Literature Review
26.2.1 Application of ChatGPT
26.2.2 Recent Advancements in ChatGPT Technology
26.3 Methodology
26.4 Results and Discussion
26.4.1 Distinctive Attributes and Operations of the ChatGPT Help Platform
26.5 Conclusion
References
27 Debunking Myths and Misconceptions in the Healthcare Sector: A ChatGPT-Powered Evaluation
27.1 Introduction
27.2 Literature Review
27.2.1 LLM (Large Language Model)
27.2.2 Processing of Natural Language (NLP)
27.2.3 Transformer
27.2.4 Generative AI's Benefits for Health
27.3 Methodology
27.3.1 Research Plan
27.3.2 Analyses Both Quantitative and Qualitative
27.3.3 Examining Statistics
27.4 Results
27.4.1 Analytical Quantitative
27.4.2 Analytical Qualitative
27.5 Discussion
27.5.1 Generative AI Tools' Risks for Health
27.6 Conclusion
References
28 Investigating Suitability of IoMT Aid in Orthopaedics: Features, Adoption, Barriers, Future
28.1 Introduction
28.2 Emergence and Evolution
28.3 Prevalent IoMT Aid in Orthopaedics and Healthcare
28.4 Related Work
28.5 IoMT Architecture Elements
28.6 Protocols to Follow
28.7 Cognitive IoMT (CIoMT)
28.8 Barriers
28.8.1 Security Challenges
28.8.2 Privacy Concerns
28.9 Mitigating Security and Privacy Risks
28.9.1 Future Directions
28.9.2 Conclusion
References
29 VGG Network-Based Deep Convoluted Facial Recognition
29.1 Introduction
29.2 Proposed Algorithm
29.3 Conclusion
References
30 Fabrication of a Tool for Prediction of Crops Using Machine Learning
30.1 Introduction
30.2 Literature review
30.3 Problem Statement
30.4 Methodology
30.5 Data Flow Diagram
30.6 Design and Calculations
30.6.1 Drafting of Parts
30.6.2 Designing of Bucket
30.6.3 Designing of Holder
30.6.4 Selection of Material
30.7 Results and Discussions
30.8 Conclusion
References
31 The Impact of Six Sigma Approach on Improvement Productivity in Manufacturing Company
31.1 Introduction
31.1.1 Challenges in Manufacturing Industry
31.1.2 Challenges of Productivity Improvement-Cycle Time and Lead Time
31.1.3 Cycle and Lead Times
31.1.4 Six Sigma Methodology
31.1.5 Six Sigma Probability Distribution
31.1.6 Six Sigma 68-95-99.7 Rule
31.2 Results
31.2.1 Phase-wise Results
31.2.2 Final Results
31.3 Discussion and Conclusion
References
32 A Novel Approach for Monument Identification Using a Modified ResNet-101 Encoder-Decoder Architecture
32.1 Introduction
32.1.1 A Subsection Sample
32.2 Proposed Algorithm
32.3 Result and Discussion
32.4 Conclusion
References
33 Synthesis, Characterization, and Properties of Graphene Reinforced Composites-A Review
33.1 Introduction
33.1.1 Graphene
33.1.2 Graphene-Based MMC
33.1.3 Graphene/Polymer-Based Composite
33.2 Processing Techniques of Graphene-Based Composites
33.3 Properties of Graphene-Based Composites
33.3.1 Mechanical Properties
33.3.2 Electronic Properties
33.4 Applications and Challenges in Graphene-Based Composites
33.5 Conclusion
References
34 Recent Advancements in Knowledge-Based Parametric Modeling of Mechanical Components
34.1 Introduction
34.1.1 Knowledge-Based Systems
34.1.2 Expert Systems
34.1.3 Knowledge-Based Engineering
34.1.4 CAD and its Automation
34.1.5 Parametric Modeling Techniques
34.1.6 Macros and Automation in Parametric Modeling
34.2 Recent Works
34.3 Discussion
34.4 Conclusion
References
35 Performance Analysis of Cooperative MCR-NOMA for 5G Wireless Networks
35.1 Introduction
35.1.1 Related Works
35.1.2 Objective
35.2 Block Diagram
35.3 Scheduling Methods
35.3.1 User Scheduling in the Absence of Immediate CSI
35.3.2 Scheduling of Users Through Partial CSI
35.3.3 User Scheduling with Full CSI Considering Priorities Among Users
35.4 Performance Analysis
35.5 Simulation Results
35.6 Conclusion
References
36 Free Flow 0° Copper Tube Collector Augmentation for Yield Improvement into Solar Desalination System
36.1 Introduction
36.2 Solar Desalination Model Formulation
36.3 Results and Discussion
36.4 Conclusion
References
37 Investigation on Kerf Taper and Effect of Process Parameters on Micromachining of Nickel-Base Super Alloy
37.1 Introduction
37.2 Proposed Methodology
37.2.1 Experimentation
37.3 Artificial Neural Network
37.3.1 Comparison of Models Developed Using Three Transfer Functions
37.4 Optimization by Genetic Algorithm (GA)
37.4.1 Contour Plots for KT
37.5 Result
37.5.1 Validation Experiments
37.6 Conclusion
References
38 Investigation of Heat Transfer Enhancement in a Tubular Heat Exchanger Through Experimentation with Alternate Materials
38.1 Introduction
38.2 Literature Review
38.3 Methodology Used
38.3.1 Experimental Setup
38.3.2 Selection of Fluids
38.3.3 Test Procedure
38.3.4 Data Collection
38.3.5 Analysis and Comparison
38.4 Results and Discussion
38.5 Conclusion and Future Scope
References
39 Design and Fabrication of an Automated Multi-Hacksaw Cutting Machine
39.1 Introduction
39.1.1 Problem Identification
39.2 Literature Review
39.3 Parts, Designs and Dimensions
39.3.1 Base Frame
39.3.2 Hacksaw
39.3.3 Machine Vice
39.3.4 Motor, Belt, Wheel and Shaft Arrangement
39.3.5 Rotating Disc
39.3.6 Complete Design
39.4 Working Technique
39.5 Calculations and Deductions
39.5.1 Angular Velocity of Disc
39.5.2 Inertia Force
39.5.3 Cutting Force
39.5.4 Friction Force
39.5.5 Total Required Force
39.5.6 Bending Moment
39.5.7 Velocity Diagram
39.5.8 Torque
39.6 Cooling Mechanism for Heat Reduction
39.7 Fabrication
39.8 Results and Conclusions
References
40 Probabilistic Roadmap Generation for Autonomous Robot Path Planning in Dynamic Environments
40.1 Introduction
40.2 Literature Review
40.3 Methodology
40.4 Experimental Results
40.5 Conclusion
References
41 Biomimetic Bipedal Locomotion: Avian-Inspired Dynamics and Simulation Analysis
41.1 Introduction
41.2 Methodology
41.3 Result
41.4 Conclusion and Discussion
References
42 Optimization and Modelling of Machining Parameters in End Milling Operation Using Box-Behnken Technique
42.1 Introduction
42.2 Materials and Methodology
42.3 Results and Discussions
42.4 Conclusions
References
43 Unlocking Predictive Insights for Employee Retention and Engagement: Harnessing Machine Learning and Big Data Analytics in HR Practices
43.1 Introduction
43.1.1 Importance of Employee Retention and Engagement in Organizations
43.1.2 Predictive Insights and Their Role in HR Practices
43.1.3 Employee Retention and Engagement
43.2 Employee Retention and Engagement
43.2.1 Employee Retention
43.2.2 Employee Engagement
43.2.3 Retention & Engagement Relationship.
43.3 Traditional Approaches to Employee Retention and Engagement
43.3.1 Common Retention and Engagement Strategies
43.4 Integration of Machine Learning and Big Data Analytics in HR Practices
43.4.1 Big Data Analytics and Machine Learning Working Together in Harmony.
43.5 Conclusion
References
44 Transforming Classroom Instruction: Embracing Machine Learning-Assisted Teaching Pedagogy
44.1 Introduction
44.1.1 The Importance of Adequate Classroom Instruction
44.1.2 Technology in Education
44.2 Integration of ML in Classroom Instruction
44.2.1 Benefits of ML-Assisted Teaching Pedagogy
44.3 Enhancing Student Engagement and Personalization
44.3.1 Gamification and Interactive Learning Experiences
44.4 Improving Instructional Design and Content Delivery
44.5 Supporting Teachers and Facilitating Collaboration
44.6 Conclusion
References
45 Semiempirical Calculation of 4-Dimethylaminopyridium, 2-Phosphorallylide and Their 1,5-Electocyclization Product
45.1 Introduction
45.2 Computational Method
45.3 Results and Discussion
45.4 Computational Detail
45.5 Location of Transition State During 1,5-Electrocyclization of II
45.6 Conclusions
References
46 A Study of Earthquake Forecasting Using Artificial Intelligence (AI) Approaches
46.1 Introduction
46.2 Deterministic Forecasting Versus Probabilistic Forecasting Approaches
46.3 The Experimental Procedure for Earthquake Forecasting
46.3.1 The Experimental Procedure Using Probabilistic Modeling Approaches
46.3.2 The Experimental Procedure Using Deterministic Modeling Approach
46.4 Limitations of Study of Earthquake Forecasting Using AI Approaches
46.5 Result
46.6 Conclusion
References
47 Mining Social Networks for Recommendation Systems: An Integrated Approach Using Data Mining and Social Network Analysis
47.1 Introduction
47.2 Methodology
47.3 Predictor Evaluation and Visualization of Results
47.4 Conclusions and Future Work
References
48 Investigation of the Impact of AI on Farm Sustainability
48.1 Introduction
48.2 Research Objective of Investigation of the Impact of AI on Farm Sustainability
48.3 Assessment of the Environmental Impact of AI-Powered Precision Agriculture
48.4 Investigation of the Economic Impact of AI on Farm Sustainability, Including Its Impact on Farm Profitability, Food Prices, and Farmer Livelihoods
48.5 The Strategies to Promote Sustainable and Equitable Adoption of AI
48.6 Result and Discussion
48.7 Conclusion
48.8 Future Scope
References
49 Competence of Big Data Analytics for Enactment with Allusion to Higher Education Institutions-A Conceptual Framework
49.1 Introduction
49.2 Statement of Problem
49.3 Importance of My Study
49.4 Scope of My Study
49.5 Objective of the Study
49.6 Hypothesis of the Study
49.7 Literature Review for the Research
49.8 Encompassing Methodology
49.9 Research Design
49.9.1 Data Collection Methods
49.9.2 Data Analysis Methods
49.9.3 Conclusion
References
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Proceedings of Third International Conference in Mechanical and Energy Technology

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