Electrical and Computer Engineering: First International Congress, ICECENG 2022, Virtual Event, February 9–12, 2022, Proceedings (Lecture Notes of the ... and Telecommunications Engineering)

This book constitutes the refereed proceedings of the First International Congress, ICECENG 2022, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 15 full and 2 short papers were selected from 48 submissions and are organized in 4 main tracks: technology trends, artificial intelligence, computing and security. The papers detail the application of formal methods to the construction and analysis of models describing technological processes at both micro and macro levels. Preface Organization Contents Technology Trends User Reactions About Wildfires on Twitter 1 Introduction 2 Materials and Methods 2.1 Feature Extraction 2.2 Sentiment Analysis 2.3 Baseline Algorithm 2.4 Classification 2.5 Model Accuracy 2.6 Dataset 2.7 Categorization 3 Experimental Results 3.1 Statistical Analysis of User Reactions 3.2 Model Evaluation 4 Conclusion and Results References Green Energy-Based Efficient IoT Sensor Network for Small Farms 1 Introduction 2 Network Topology 2.1 LoRA Technology 2.2 Physical Layer Parameters 3 Methodology 3.1 Proposed Model 3.2 Sensors Used 3.3 Experimental Setup 4 Result and Discussion 5 Conclusion References Potential Benefits of Apps for Bike Sharing Systems in Cairo: The Bikeroons App Example 1 Introduction 2 Literature Review 3 Proposed App: Bikeroons 3.1 General Features 3.2 Charging Stations 3.3 Emergency 3.4 Destination Mode 3.5 Workout Mode 3.6 Rent My Own Bike 4 Implementation Details 4.1 Hardware 4.2 Software 5 Results 5.1 Discussion 6 Conclusion References Preliminary Development of Virtual Try-On Platform for Batik Apparel Based on Mobile Augmented Intelligence Technology 1 Introduction 2 Related Works 3 Research Method 3.1 Human Body Motion Capture 3.2 Hand Gesture Recognition 3.3 Augmented Reality 3.4 Web Service 4 Experimental Result 5 Conclusion References Artificial Intelligence Low Light Image Enhancement on Mobile Devices by Using Dehazing 1 Introduction 2 Materials and Method 3 Results 4 Conclusion References Document Image Classification with Vision Transformers 1 Introduction 2 Related Works 3 Vision Transformers 4 Experiments 4.1 Dataset 4.2 Image Preprocessing 4.3 Evaluation Metrics 4.4 Model 4.5 Experimental Results 5 Conclusions References Rice Plant Disease Detection Using Image Processing and Probabilistic Neural Network 1 Introduction 2 Materials and Methods 2.1 Data Set 2.2 Image Pre-processing 2.3 Segmentation Process 2.4 Feature Extraction 2.5 Classification with PNN 3 Discussion and Results 4 Conclusions References Sentiment Analysis Covid-19 Spread Tracing on Google Play Store Application 1 Introduction 2 Related Works 3 Methods 3.1 Random Forest 3.2 Logistic Regression 3.3 Confusion Matrix 4 Results and Discussion 4.1 Scraping data 4.2 Text Preprocessing 4.3 Train Split Label 4.4 Cloud Words 4.5 Sentiment Analysis 4.6 Performance 5 Conclusion References Parameter Selection of Contrast Limited Adaptive Histogram Equalization Using Multi-Objective Flower Pollination Algorithm 1 Introduction 2 Materials and Methods 2.1 Contrast Limited Adaptive Histogram Equalization 2.2 Multi-Objective Flower Pollination Algorithm 2.3 Proposed Multi-Objective Flower Pollination Algorithm Enhanced Contrast Limited Adaptive Histogram Equalization Method 2.4 Multi-Objective Fitness Function Of Multi-Objective Flower Pollination Algorithm 2.5 Parameter Configuration for MOFPA 2.6 Methodology for Parameter Optimization of CLAHE 2.7 Datasets 2.8 Evaluation Metrics 3 Results and Discussion 3.1 Performance Evaluation 3.2 Limitations and Further Studies 4 Conclusion References Multi Channel EEG Based Biometric System with a Custom Designed Convolutional Neural Network 1 Introduction 1.1 Electroencephalograph (EEG) Based Biometry 2 Material and Method 2.1 Preparing the Raw EEG signals as Input to the Convolutional Neural Network 2.2 Designed Convolutional Neural Network Architecture 3 Results and Discussion 4 Conclusion References A Hybrid Machine Learning Approach to Fabric Defect Detection and Classification 1 Introduction 2 Dataset and Experimental Work 3 Defect Detection and Classification 3.1 Defect Detection Using a Customized U-Net 3.2 Hybrid Model for Defect Classification 3.3 Testing the Model 4 Conclusions References A Method of CNN Deep Learning for Indonesia Ornamental Plant Classification 1 Introduction 2 Method 2.1 Problem Identification 2.2 Data Gathering 2.3 Model Design 2.4 Preprocessing Phase 2.5 CNN Training 2.6 CNN Testing of Data and Method 2.7 Testing Result 3 Future Work 4 Conclusion References Computing Quantum Data Classification by a Dissipative Protocol with a Superconducting Quantum Circuit Implementation 1 Introduction 2 Model and Theory 2.1 The Quantum Classifier 3 Superconducting Transmon Qubits 4 Conclusion References Sensor Application Ontology for Internet of Things 1 Introduction 2 Background 3 Material and Method 3.1 Tools and Languages 3.2 Method 4 Conclusion References Response Times Comparison of MongoDB and PostgreSQL Databases in Specific Test Scenarios 1 Introduction 2 Literature Review 3 Technology Overview 4 Experimental Results 4.1 Adding 25,000 Records 4.2 Adding 10,000 Records 4.3 Fetching All Records 4.4 Number of Personnel Grouped by Unit 4.5 Number of Personnel Grouped by Occupation 5 Result and Discussion References MIMD-Simulators Based on Parallel Simulation Language 1 Introduction 2 Block Diagrams for Solving Differential Equations in Modeling Languages and MIMD-Parallelism 3 Transformation of BO-, OO- and EO-Simulator Specifications into Virtual Parallel MIMD-Simulators 4 Devirtualization of Specifications of Virtual MIMD-Simulators 5 Conclusions References Security Real-Time Monitoring and Scalable Messaging of SCADA Networks Data: A Case Study on Cyber-Physical Attack Detection in Water Distribution System 1 Introduction 2 Materials and Methods 2.1 Apache Spark 2.2 Apache Kafka 2.3 Traditional Machine Learning Methods 2.4 Deep Learning Encoder Decoder 3 Results and Discussion 3.1 Experimental Setup 3.2 BATADAL Datasets 3.3 Performance Comparison for Cyber-Physical Attack Detection 3.4 Data Stream Processing 4 Conclusions References Author Index