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Proceedings of Congress on Control, Robotics, and Mechatronics : CRM 2023 / Pradeep Kumar Jha, Brijesh Tripathi, Elango Natarajan, Harish Sharma, editors.

This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering Congress on Control, Robotics, and Mechatronics (CRM 2023), jointly organized by Modi Institute of Technology, Kota, India, and Soft Computing Research Society, India, duri...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: International Conference of Mechanical and Robotic Engineering Congress on Control, Robotics, and Mechatronics Kota, India
Other Authors: Jha, Pradeep Kumar (Editor), Tripathi, Brijesh (Editor), Natarajan, Elango (Editor), Sharma, Harish (Editor)
Other title:CRM 2023
Format: Conference Proceeding eBook
Language:English
Published: Singapore : Springer, [2024]
Series:Smart innovation, systems, and technologies ; 364.
Subjects:
Robotics > Congresses.
Mechatronics > Congresses.
Mechatronics.
Robotics.
Conference papers and proceedings.
Table of Contents:
  • Intro
  • Preface
  • Contents
  • About the Editors
  • 1 Image-Based Weld Joint Type Classification Using Bag of Visual Words
  • 1.1 Introduction
  • 1.2 Related Theories
  • 1.2.1 Histogram Equalisation
  • 1.2.2 Speeded-Up Robust Features (SURF)
  • 1.2.3 BoVW
  • 1.3 Experiments
  • 1.3.1 Dataset
  • 1.3.2 Noise Reduction and Enhancement
  • 1.3.3 Image Feature Extraction
  • 1.3.4 SVM Classifier
  • 1.3.5 Experimental Results
  • 1.4 Conclusion and Future Scope
  • References
  • 2 Speech Recognition-Based Prediction for Mental Health and Depression: A Review
  • 2.1 Introduction
  • 2.2 Literature Review
  • 2.2.1 Related Work
  • 2.2.2 Gaps Identified
  • 2.2.3 Objectives
  • 2.3 Proposed Methodology
  • 2.3.1 Dataset
  • 2.3.2 Preprocessing of Speech Data
  • 2.3.3 Speech Feature Extraction
  • 2.3.4 Classification for Mental Health Data
  • 2.4 Discussion
  • 2.5 Conclusion
  • References
  • 3 A Strategic Technique for Optimum Placement and Sizing of Distributed Generator in Power System Networks Employing Genetic Algorithm
  • 3.1 Introduction
  • 3.2 Standard 14 Bus System
  • 3.3 Analysis of Optimal Flow Through Newton Raphson Method
  • 3.4 Genetic Algorithm
  • 3.5 Problem Formulation
  • 3.5.1 Minimize the Real Power Loss, Where
  • 3.6 Genetic Algorithm Used for Finding Size and Location of DG
  • 3.6.1 Minimization of Power Loss and Improving Stability Index
  • 3.7 Result and Discussion
  • 3.8 Conclusions
  • References
  • 4 Model-Based Neural Network for Predicting Strain-Rate Dependence of Tensile Ductility of High-Performance Fibre-Reinforced Cementitious Composite
  • 4.1 Introduction
  • 4.2 Machine Learning-Based Model
  • 4.2.1 Artificial Neural Network Approach
  • 4.2.2 Experimental Data Collection
  • 4.2.3 Statistical Measures
  • 4.3 Results and Discussion
  • 4.3.1 Performance of the Model-Based Neural Network
  • 4.3.2 Sensitivity Analysis
  • 4.4 Conclusion
  • References
  • 5 Performance Analysis of Various Machine Learning Classifiers on Diverse Datasets
  • 5.1 Introduction and Preliminaries
  • 5.2 Literature Work and Methodologies
  • 5.3 Information Gain and Gain Ratio
  • 5.4 Results and Discussion
  • 5.4.1 Data Set 1 (Heart Disease Dataset)
  • 5.4.2 Data Set 2 (Birds Dataset)
  • 5.5 Conclusion
  • References
  • 6 Three-Finger Robotic Gripper for Irregular-Shaped Objects
  • 6.1 Introduction
  • 6.2 Methodology
  • 6.2.1 Design
  • 6.2.2 Mechanism of Finger
  • 6.2.3 3D Printing
  • 6.2.4 DC Motor-Based Actuations
  • 6.2.5 Control
  • 6.3 Results
  • 6.4 Conclusion
  • References
  • 7 Prediction of Energy Absorption Capacity of High-Performance Fiber-Reinforced Cementitious Composite
  • 7.1 Introduction
  • 7.2 Machine Learning-Based Model
  • 7.2.1 Neural Network Model
  • 7.2.2 Database
  • 7.2.3 Statistical Measures
  • 7.3 Results and Discussion
  • 7.3.1 Performance of the Neural Network Model
  • 7.3.2 Sensitivity Analysis
  • 7.4 Conclusion
  • References
  • 8 Data Analysis on Determining False Movie Ratings
  • 8.1 Introduction

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