Artificial Intelligence and Digitalization for Sustainable Development: 10th EAI International Conference, ICAST 2022 Bahir Dar, Ethiopia, November 4–6, 2022 Proceedings

Preface
Organization
Contents
Amharic Text Complexity Classification Using Supervised Machine Learning
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Amharic Text Dataset
		3.2 Classification Model
	4 Experiment
		4.1 Experiment-1 Support Vector Machine
		4.2 Experiment-2 Random Forest
		4.3 Experiment-3 Naïve Bayes
	5 Result and Discussion
		5.1 Error Analysis
	6 Conclusion and Future Work
	References
Process Parameter Optimization of Single Lap-Adhesive Joint Date Palm Fiber Reinforced Polyester Composite Using ANN-Genetic Algorism
	1 Introduction
	2 Materials and Methods
		2.1 Manufacturing of Composites
		2.2 Adhesive Joining of DPFRPC
		2.3 Design of Experiment
		2.4 Tensile Test
		2.5 Model Development and Optimization Using ANN-GA Approach
	3 Results and Discussions
		3.1 Tensile Properties of DPFRPC
		3.2 Tensile Properties of Joined DPFRPC Subjected to Tensile Load
		3.3 Failure Behavior of Joined DPFRPC
		3.4 Modeling of ANN
		3.5 Optimization of Process Parameters by GA
		3.6 Confirmation Test
	4 Conclusion
	References
Process Parameter Optimization of Single Lap-Bolt Joint Date Palm Fiber Reinforced Polyester Composite Using ANN-Genetic Algorism
	1 Introduction
	2 Materials and Methods
		2.1 Manufacturing of the Composite
		2.2 Bolt Joining of DPFRPC
		2.3 Design of Experiment
		2.4 Tensile Test
		2.5 Model Development and Optimization Using ANN-GA Approach
	3 Results and Discussions
		3.1 Tensile Properties of DPFRPC
		3.2 Tensile Properties of Joined DPFRPC Subjected to Tensile Load
		3.3 Failure Behavior of Joined DPFRPC
		3.4 ANN Modeling
		3.5 Optimization of Process Parameters by GA
		3.6 Confirmation Test
	4 Conclusion
	References
Applications of Artificial Intelligence for Fault Diagnosis of Rotating Machines: A Review
	1 Introduction
	2 Overview of Intelligent Fault Diagnosis of Rotating Machines
	3 Deep Learning Methods in Fault Diagnosis of Rotating Machines
		3.1 Convolutional Neural Network (CNN)
		3.2 Recurrent Neural Network (RNN)
		3.3 Generative Adversarial Network (GAN)
		3.4 Auto-Encoder (AE)
		3.5 Deep Belief Network (DBN)
	4 Discussion, Existing Challenges and Future Directions
	5 Conclusions
	References
Finite Time Trajectory Tracking of a Mobile Robot Using Cascaded Terminal Sliding Mode Control Under the Presence of Random Gaussian Disturbance
	1 Introduction
	2 Kinematic and Dynamic Model of DDMR
		2.1 Kinematic model of DDMR
		2.2 Langrange Formulation of Dynamic Model of DDMR
	3 Controller Design
		3.1 Kinematic Outer Loop Global Fast Terminal Sliding Mode Controller Design
		3.2 Inner Loop Speed Control System Using Global Terminal Sliding Mode Controller Design
		3.3 Inner Loop Speed Control System Using Conventional Sliding Mode Control
	4 Simulation Results and Analysis
	5 Conclusion
	References
Artificial Intelligence-Based Breast and Cervical Cancer Diagnosis and Management System
	1 Introduction
	2 Methodology
		2.1 System Development and Technologies Used
		2.2 Image Classification System
		2.3 Key Functions of the System
	3 Result
		3.1 Classification
		3.2 Developed Web Page Result
	4 Discussion
	5 Conclusion
	References
Numerical Simulation and Optimization of a Locally Built Midibus Structure in Quasi-static and Rollover Condition
	1 Introduction
	2 Methodology
		2.1 Quasi-static and Rollover Simulation Using ECE R66
		2.2 Structural Reinforcement and Optimization of the Structure
	3 Result and Discussion
	4 Conclusion
	References
Transfer Learning with Pre-trained CNNs for Breast Cancer Stage Identification
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Dataset
		3.2 The Proposed Model Architecture
	4 Experimental Results
	5 Conclusion
	References
Fuzzy Sliding Mode Controller Based Trajectory Tracking Control of Free Flying Space Robot Manipulator System
	1 Introduction
	2 Modeling of Space Robot Manipulator System
		2.1 Assumptions
		2.2 Kinematics of Space Robot Manipulator System
		2.3 Dynamics of Space Robot Manipulator System
	3 Controller Design
		3.1 Sliding Mode Controller Design
		3.2 Fuzzy Logic Controller Design
		3.3 Trajectory Planning
	4 Stability Analysis
	5 Simulation Results and Discussion
	6 Conclusion
	References
Prediction of Teff Yield Using a Machine Learning Approach
	1 Introduction
	2 Related Works
	3 Problem Setting
	4 Materials and Methods
		4.1 Data Sources
		4.2 Data Collection
		4.3 Dataset Preparation
		4.4 ML Models for Prediction
	5 Implementation
	6 Results and Analysis
	7 Conclusion and Future Work
	Appendix-A: Training Progress for 30 Epochs
	Appendix-B: Sample Ground Truth Data from CSA
	References
Amharic Character Recognition Using Deep Convolutional Neural Network
	1 Introduction
		1.1 Features in the Amharic Alphabet
		1.2 Offline Character Recognition System
		1.3 The Deep Convolutional Neural Network
	2 Data Acquisition
	3 Image Pre-processing
		3.1 Grey Scale Conversion
		3.2 Noise Removal
		3.3 Binary Image Conversion
		3.4 Skew Correction
		3.5 Segmentation
	4 Dataset Preparation
	5 Data Augmentation
	6 DCNN Architecture for Recognition
	7 Training CNN Model
	8 Experimental Result and Discussion
	9 Conclusion and Future Work
	References
Assistive Smart Cane Technology for Visually Impaired Peoples: A Review
	1 Introduction
	2 Review of Smart Cane Hardware Part
		2.1 Environmental Modeling and Configuration
		2.2 Cane Ergonomics
		2.3 Position of Camera in the Cane
		2.4 Power Source and Charging System
	3 Review of Software Design of Cane
		3.1 Object Detection Algorisms
		3.2 Navigation and Location Tracking
	4 Conclusions
	References
A Headphone-Based Heart Rate and Heart Rate Variability Monitoring Unit
	1 Introduction
	2 Materials and Methods
		2.1 General Block Diagram of the Proposed System
		2.2 The Sensor Output Signal
		2.3 Signal Conditioning
		2.4 Prototype Unit of the Proposed System
		2.5 Data Acquisition System
		2.6 Trial PPG Signal Waveform with Car
		2.7 Powering of the Board
		2.8 Printed Circuit Board (PCB) Design and Fabrication
	3 Result and Discussion
		3.1 Measuring the Performance of the System
		3.2 Measurements of Heart Rate Variability (HRV)
		3.3 Analysis of the Differences Between Measurement
	4 Conclusion
	References
Amharic Sentence-Level Word Sense Disambiguation Using Transfer Learning
	1 Introduction
	2 Related Works
	3 Amharic Language
		3.1 Amharic Writing System
		3.2 Ambiguity in Amharic Language
	4 Methodology
	5 Result and Discussion
		5.1 Experimental Result of CNN Model
		5.2 Experimental Result of BiLSTM Model
		5.3 Experimental Result of BERT Model
		5.4 Experimental Result of Disambiguation Model
	6 Conclusion
	References
Deep Complex-Valued Neural Networks for Massive MIMO Signal Detection
	1 Introduction
	2 Preliminaries
		2.1 Complex Matrix Multiplication
		2.2 Wirtinger Calculus
	3 System Model and Problem Formulation
		3.1 System Model
		3.2 Problem Setup
	4 Complex-Valued Feed-Forward Networks
		4.1 Forward Propagation
		4.2 Back Propagation
	5 Numerical Results and Discussion
		5.1 Implementation Details
		5.2 Learning History: Offline Training Phase
		5.3 SER: Online Detection Phase
		5.4 Computational Complexity
	6 Conclusion
	References
Design and Performance Analysis of a Multi-level Fuzzy-Based Stabilizer to Dampen Low-Frequency Oscillation in Single-Machine Infinite Bus Systems
	1 Introduction
	2 Mathematical Modeling
		2.1 Synchronous Machine Modeling
		2.2 Excitation System Model
		2.3 Single-Line Diagram Representation of a Test System
		2.4 Design of Conventional Power System Stabilizer
		2.5 Design of Multi-level Fuzzy Logic Controller-Based Stabilizer
	3 Simulation Results
		3.1 System Performance with Excitation System Only
		3.2 System Performance with Conventional Power System Stabilizer
		3.3 System Performance with Fuzzy Logic-Based Stabilizer
		3.4 System Performance with Multi-level Fuzzy Logic-Based Stabilizer
		3.5 Comparative Analysis of the System
	4 Conclusion
	5 Appendices
	References
Super Twisting Sliding Mode Controller for Trajectory Tracking Control of Autonomous Ground Vehicle System
	1 Introduction
		1.1 Background
		1.2 Literature Review
	2 Mathematical Modelling of Lateral Vehicle Dynamics Based on Bicycle Model
	3 Controller Design
		3.1 Sliding Mode Controller
		3.2 Super Twisting Sliding Mode Controller
		3.3 Fractional Order PID Controller
	4 Results and Discussions
		4.1 MATLAB Implementations
		4.2 Open Loop Response
		4.3 Testing of Trajectories for Closed Loop Responses
	5 Conclusions
	References
Trajectory Tracking of a Two-Wheeled Mobile Robot Using Backstepping and Nonlinear PID Controller
	1 Introduction
	2 System Modeling
		2.1 Kinematic Modeling of the TWMR
		2.2 System Dynamic Modeling
	3 Proposed Method Design
		3.1 Backstepping Controller
		3.2 Nonlinear PID Controller
		3.3 The Controller Gains Optimization by Using a GA
	4 Results and Discussions
	5 Conclusion
	References
Author Index