Proceedings of Third International Conference in Mechanical and Energy Technology : ICMET 2023, India / edited by Sanjay Yadav, P. K. Arora, Anuj Kumar Sharma, Harish Kumar.

Format:

Book

Contributor:

Yadav, Sanjay, editor.

Series:

Smart Innovation, Systems and Technologies, 2190-3026 ; 390

Language:

English

Subjects (All):

Manufactures.

Renewable energy sources.

Materials.

Nanotechnology.

Machines, Tools, Processes.

Renewable Energy.

Materials for Devices.

Local Subjects:

Machines, Tools, Processes.

Renewable Energy.

Materials for Devices.

Nanotechnology.

Physical Description:

1 online resource (537 pages)

Edition:

1st ed. 2024.

Place of Publication:

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

Summary:

This book presents selected peer-reviewed papers from the 3rd International Conference on Mechanical and Energy Technologies, which was held on 7–8 December 2023 at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, non-material and non-manufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering and energy technologies.

Contents:

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 &amp

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

24 Constructing an Evaluation Framework for English Teaching in Higher Education: Integrating Neural Networks and Natural Language Processing.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Yadav, Sanjay Proceedings of Third International Conference in Mechanical and Energy Technology

ISBN:

9789819727162