Proceedings of the International Conference on Intelligent Systems and Networks

Name: Proceedings of the International Conference on Intelligent Systems and Networks | ICISN 2024, 22-23 March 2024, Hanoi, Vietnam
Brand: Springer
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ICISN 2024, 22-23 March 2024, Hanoi, Vietnam

Thi Dieu Linh Nguyen Maurice Dawson Le Anh Ngoc Kwok Yan Lam(Editor)

Springer (Publisher)

1st Edition

Published on 31. August 2024

XIII, 772 pages

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978-981-97-5504-2 (ISBN)

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Persons

Dr. Nguyen Thi Dieu Linh , is Deputy Head of Science and Technology Department, Hanoi University of Industry, Vietnam (HaUI). She is heading the department since 2015. She has more than 18 years of academic experience in electronics, IoT, smart garden, and telecommunication. She has authored or co-authored more than 15 research articles that are published in journals, books, and conference proceedings. She received her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China, in 2013.

Dr. Maurice Dawson serves as an Assistant Professor of Information Systems at University of Missouri-St. Louis, former Visiting Assistant Professor (Honorary) of Industrial and Systems Engineering at The University of Tennessee Space Institute, and Fulbright Scholar: Specialist in the Faculty of Computational Mathematics & Informatics at South Ural State University in Chelyabinsk, Russia. Dawson is recognized as an Information Assurance System Architect and Engineer by the U.S. Department of Defense. Research focus area is cyber security, systems security engineering, open source software (OSS), mobile security, and engineering management.

Dr. Ngoc Le Anh is the Director of Swinburne Innovation Space, Swinburne University of Technology (Vietnam). He received his B.S in Mathematics and Informatics from Vinh University and VNU University of Science, respectively. He received a master's degree in Information Technology from Hanoi University of Technology, Vietnam. He obtained a Ph.D. in Communication and Information Engineering from the School of Electrical Engineering and Computer Science, Kyungpook National University, South Korea, in 2009. His research interests are in the areas of embedded and intelligent systems, communication networks, the Internet of things, image/video processing, AI, and big data analysis.

Professor Kwok-Yan Lam is an Associate Vice President (Strategy and Partnerships) and Professor in the School of Computer Science and Engineering at the Nanyang Technological University (NTU), Singapore. Professor Lam has been a Professor of the Tsinghua University, PR China (2002-2010) and a faculty member of the National University of Singapore and the University of London since 1990. He was a visiting scientist at the Isaac Newton Institute of the Cambridge University and a visiting professor at the European Institute for Systems Security. Prof Lam received his B.Sc. (First Class Honours) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. His research interests include Distributed Systems, IoT Security Infrastructure and Cyber-Physical System Security, Distributed Protocols for Blockchain, Biometric Cryptography, Quantum Computing, Homeland Security and Cybersecurity.

Content

Intro
Contents
An Efficient Administration for Multiple Firewalls in Cloud Environments
1 Introduction
2 Related Works
3 Proposal Approach
4 Implementation
5 Conclusion
References
Lightweight Rendezvous Model Based on Pruning and Knowledge Distillation for Action Triplet Recognition in Laparoscopic Surgery Videos
1 Introduction
2 Methodology
2.1 Pruning Method
2.2 Knowledge Distillation Method
3 Experimental Results
3.1 Datasets and Learning
3.2 Evaluation Metrics
3.3 Results of the Pruning Method
3.4 Results of the Knowledge Distillation Method
4 Conclusion
References
Design a Remote Monitoring System for NH3 Concentration in Water Using Camera
1 Introduction
2 System Design
2.1 Block Diagram
2.2 Circuit Design
3 Result
4 Conclusion
References
Efficient Control of Rotary Inverted Pendulum Systems with T-S Fuzzy Descriptor Models
1 Introduction
2 T-S Fuzzy Descriptor System
3 Control Design
4 Simulation Results
5 Conclusion
References
Swing-Up and Stability Control of a Rotary Inverted Pendulum Through Fuzzy-Based Sliding Mode Control
1 Introduction
2 System Modelling
3 Control Problems
3.1 Fuzzy Logic Control (FLC)
3.2 Fuzzy-Based Sliding Mode Control
4 Simulation and Results
5 Conclusion
References
Efficient Data Compression on Healthcare Images Using Improved Hadamard Transform Based Filter
1 Introduction
2 Hadamard Transform
3 Proposed Work
3.1 Modified Hadamard Architecture
3.2 Compression and Decompression Technique
3.3 Security Design
4 Conclusion
References
Feature Selection Based on Top Frequency
1 Introduction
2 Top Frequency-Based Feature Selection
3 Empirical Study
3.1 Datasets
3.2 Experimental Settings
3.3 Results and Discussion
4 Related Works
5 Conclusions
References
Applied the MoDWT and STFT Layers to Classify the EEG of Schizophrenia Patients
1 Introduction
2 Materials and Methods
2.1 Schizophrenia Dataset
2.2 Models Construction
3 Materials and Methods
3.1 Experiment Results of MoDWT Layers
3.2 Survey the Performance of MoDWT and STFT Layer in the Proposed Model
3.3 Comparison with Cutting-Edge Methods
4 Conclusions
References
Blending of Resolution-Jumping and Beamforming for Enhanced Tomographic Reconstruction
1 Introduction
2 DBIM Blended by Resolution-Jumping and Beamforming
3 Simulation Results
4 Conclusions
References
Hybrid Path Planning for Mobile Robot Based on Improved A* Fusion Dynamic Window Approach
1 Introduction
2 GPP Based on Improved A*
3 Local Path Planning Based on DWA
4 Result and Discussion
5 Conclusions
References
A Real-Time and Continuous Fall Detection Based on Skeleton Sequence
1 Introduction
2 Related Work
3 Proposed Framework
3.1 Person Detection and Tracking
3.2 Human Skeleton Extraction
3.3 Action Recognition and Post-processing
4 Experimental Results
4.1 Datasets
4.2 Experimental Results and Discussions
5 Conclusion and Future Work
References
Solutions to Improve the Performance of the Algorithm with the Adaptive Decay Time for the Spiking Neural Nets
1 Introduction
2 The Backpropagation Algorithm to Adjust the Decay Time
2.1 Spiking Response Model
2.2 Update dij for the kth Synapse Between the ith Neuron in the Last Hidden Layer and the jth Neuron in the Output Layer
2.3 Update dhi for the kth Synapse Between the ith Neuron in the Hidden Layer and the hth Neuron in the Input Layer
3 An Adaptation of the Learning Rate and Momentum
3.1 The Adaptive Learning Rate Regulation Rule
3.2 The Adaptive Momentum Regulation Rule
4 Experiment and Discussion
4.1 The Experiment on the XOR Classification Data Set
4.2 The Experiment in Identifying Aerodynamic Coefficients in the Axial Motion of an Aircraft with Data Set Recorded from Flights
5 Conclusion
References
Enhancing Security for Private Cloud When Deployed at Small Department
1 Introduction
2 Theoretical Background
2.1 Cloud Computing
2.2 Security Issues for the Cloud Computing System
3 Deploy Private Cloud at Small Department
4 Apply Security Methods for Private Cloud
4.1 Install Https Security Protocol for CloudStack Management Homepage
4.2 Set the Https Security Protocol for the System Virtual Machine Access Page
4.3 Create an Admin SSH Connection to CloudStack Server and KVM Virtualization Server
4.4 Create SFTP Connection to CloudStack Server and KVM Virtualization Server
4.5 Install Software to Create Secret Drives for Users' Virtual Machines
4.6 Decentralize User Groups on CloudStack
4.7 Allocate Resource Quotas to Users
4.8 Configure Rules in Iptable that Limit the Networks and Ports that Can Be Accessed
5 Conclusion and Future Works
References
An Integrated Toolbox of Time-Frequency Techniques for Preprocessing in AI Networks
1 Introduction
2 Signal Processing Techniques
2.1 Fast Fourier Transform
2.2 Short-Time Fourier Transform
2.3 Wigner-Ville Distribution
2.4 Continuous Wavelet Transform
2.5 Hilbert-Huang Transform
3 Signal Model
4 The Time-Frequency Toolbox
4.1 Design of Toolbox
4.2 Simulation Results
5 Conclusion
References
Is Transformer Good for Vision-Based Human Action Recognition with Limited Data Source
1 Introduction
2 Transformer Model for Human Action Recognition
2.1 General Framework
2.2 Recognition Model
2.3 LightTimeSFormer
3 Experiments
3.1 Datasets
3.2 Experimental Results
4 Conclusion
References
A Solution Improves the Accuracy in Determining Orientation Parameters for the Carrier Device
1 Introduction
2 Theoretical Models and Methods
2.1 Directional Cosine Matrix and Orientation Angles
2.2 Application of Extended Nonlinear Kalman Filter and Algorithm to Determine Orientation Parameters for Gimbaling Inertial Navigation System of Moving Object
2.3 Describe the Algorithm Model Using ANN When GPS is Lost
3 Simulation and Discussion
4 Conclusion
References
DLMs and VR App Development in Teaching Cell Biology in High Schools
1 Introduction
2 Related Works
3 Our Proposal
4 Experiment and Result
5 Conclusion
References
Enhancing Whisper Model for Vietnamese Specific Domain with Data Blending and LoRA Fine-Tuning
1 Introduction
2 Related Works
3 Back Ground
3.1 Whisper Model
3.2 Efficient Fine Tuning Method: LoRA Fine-Tuning
4 Proposed Method
4.1 Data Blending Framework
4.2 Whisper Model Fine-Tuning
4.3 Datasets
5 Experiments and Results
5.1 Evaluation Metrics and Experimental Setups
5.2 Results and Discussions
6 Conclusions
References
Crack Detection Based on the Wavelet Analysis of a Beam-Like Structure Under the Moving Load
1 Introduction
2 Setting Finite Element Model for Bridge-Vehicle System
3 Wavelet Transform
4 Simulation of Vehicle-Bridge Oscillation and Diagnosis of Cracks by Wavelet Method
5 Conclusion
References
Diagnosis Parkinson's Disease Using Neural Network and EEG Signals
1 Introduction
1.1 Description of the Data
1.2 EEG Dataset and Preprocessing
1.3 Feature Extraction
1.4 Artificial Neural Network
2 Results
3 Conclusions
References
Medichain: A Multi-chain Based System for Managing Prescription Medications Using Zero Knowledge Proofs
1 Introduction
2 Related Works
3 Proposed System
3.1 Entities Definition
3.2 Prescription Design
3.3 Prescription's Access Control and Logical
4 Experiment Results
5 Conclusion
References
Deep Continual Image Classification Based on Memory Prototype and Energy-Based Feature Synchronizing
1 Introduction
2 Related Work
3 Method
4 Experiments and Results
5 Conclusion
References
Choosing the BICM-ID System's M-QAM Mapper
1 Introduction
2 System Architecture Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID)
3 Analysis and Selection of Mappings for M-QAM Signal Sets
3.1 The Parameter Determines the BER Bit Error Rate Quality Factor of the BICM-ID System
3.2 Mapping Selection for 4-QAM Modulation
3.3 Mapping Selection for 8-QAM Modulation
3.4 Mapping Selection for 16-QAM Modulation
4 Simulation Results
5 Conclusion
References
Endpoint Detection and Response System: Emerging Cyber Security Technology
1 Introduction
1.1 EDR System Overview and Its Significance in Cybersecurity
1.2 Brief History of the EDR System
2 EDR Components and Capabilities
2.1 Description of the Critical Components of EDR Systems
2.2 Overview of EDR Capabilities
3 EDR Implementation and Integration
3.1 Best Practices for Implementing EDR System in an Organisation
3.2 EDR System Integration with Other Cybersecurity Technologies
4 EDR Effectiveness and ROI
4.1 Overview of Studies and Statistics on the EDR System
5 EDR Challenges and Future Trends
5.1 Challenges in Implementing and Using EDR System
5.2 Discussion of Future Trends in EDR -AI and Machine Learning
6 Case Studies
6.1 Real-World Examples of Organisations that Have Successfully Implemented EDR System
7 Analysis of the Impact of EDR on Their Cybersecurity Posture
8 Conclusion
References
Detecting Far-Side Corrosion of Multi-layer Structure on Aircraft with Time-Series Signal and Explainable Deep Learning Approach
1 Introduction
2 Proposed Method
2.1 Data Preparation
2.2 Network Structure
3 Results and Discussion
4 Model Explanation
4.1 Activation Map
4.2 Modified Grad-CAM
5 Conclusion
References
Improving THz Antenna for 6G Wireless Communication Using a Symmetrical SIW Structure
1 Introduction
2 Antenna Design
2.1 Antenna Structure
2.2 SIW Structure
2.3 The Number of Waveguides in the Symmetrical SIW Structure
3 Simulation Results
4 Conclusion
References
Improving Service Broker Policy of the Cloud Using Reinforcement Learning Through Equally Spread Current Execution Load Balancing Policy
1 Introduction
2 Experimental Design
3 Literature Survey
4 Experimental Results
5 RL to Improve SBPs
6 Conclusion
References
Advanced Method for Polyphase Coded Radar Signal Classification and Recognition Based on Deep Learning
1 Introduction
2 Signal Model
3 Recognition Model
3.1 Feature Extraction
3.2 Deep Learning Network Design
4 Simulation Results
5 Conclusion
References
Performance of Hybrid Models with VGG16-XGBoost and VGG16-LightGBM on Fake Face Image Recognition
1 Introduction
2 Literature Review
3 Methodology
4 Empirical Results
5 Conclusion
References
A 2 2 Microstrip Patch MIMO Array for IoT Applications
1 Introduction
2 Two-Element MIMO Array
3 MIMO Array with 2 2 Configuration
4 Extension to Large-Scale MIMO
5 Conclusion
References
A Lightweight Group Authentication Framework for Blockchain-Enabled IoT Network in Healthcare Systems
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Setup Phase
3.2 Registration Phase
3.3 Secret Construction Phase
3.4 Authentication Phase
4 Results and Discussions
4.1 Comparative Analysis
5 Conclusions and Future Works
References
An Efficient Provable Massive Data Migration Approach Under Secure Cloud Storage
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Data Migration Model
3.2 Hierarchical Data Authentication Mode
3.3 Hierarchical Provable Data Migration Method
4 Results and Discussions
5 Conclusions and Future Works
References
Bearing Fault Classification Based on Residual Component of Motor Current Signal and Machine Learning
1 Introduction
2 Proposed Method of Bearing Fault Detection for Induction Motor
2.1 Fundamental Component Estimation
2.2 Residuals and Residual RMS Calculation
2.3 Fault Detection
3 Data for Experiment
4 Verification and Discussion
5 Conclusion
References
Three-Phase Single-Stage AC-DC Converter of EV Charging System with Reduced Device Count
1 Introduction
2 Proposed Topology and Operating Principles
2.1 Topology Configuration
2.2 PFC Part
2.3 DC/DC Operation
2.4 Modulation
3 Simulation Result
4 Conclusions
References
An Ontology-Enabled Approach for Modeling University-Level Training Programs
1 Introduction
2 Representation of Training Programs with OWL DL
2.1 The ULTPOnt Ontology
2.2 Realization
3 Utilizing SPARQL Queries to Validate Training Programs Modeled with the ULTPOnt Ontology
4 Related Work
5 Conclusion
References
Traffic Congestion Detection from Camera Images Using Deep Learning Approach
1 Introduction
2 Related Works
3 Proposed Approach
4 Experiment and Results
4.1 Dataset
4.2 Experiments
5 Conclusion
References
Time Efficiency Improvement for Rice Seed Identification Using Hybrid Machine Learning Models and Principal Component Analysis
1 Introduction
2 The Proposed Hybrid Model
3 Dataset
4 Experimental Results
5 Conclusion
References
Alternative Nature-Inspired Optimizers: An Attempt to Solve the Coverage and Connectivity Problem in Wireless Sensor Network Deployment
1 Introduction
2 Methodology
2.1 Mathematical Formulation
2.2 Proposed Solution
3 Results and Discussion
3.1 DE Optimization
3.2 CS Optimization
3.3 GWO Optimization
3.4 Comparison to Standard Algorithms
4 Conclusion
References
Advanced Ensemble Machine Learning Approach for ECG-Based Arrhythmia Detection
1 Introduction
2 Methodology
2.1 Dataset Selection
2.2 Signal Processing
2.3 Arrhythmia Detection Algorithm
3 Experiment Results and Discussions
3.1 Signal Processing
3.2 Arrhythmia Detection
3.3 Discussions
4 Conclusion
References
Adaptive Fuzzy Neural Network-Based Speed Controller for Surface-Mounted Permanent Magnet Synchronous Motor: Design and Analysis
1 Introduction
2 Error Dynamic Model of an Surface-Mounted PMSM with System Uncertainties
3 Adaptive Fuzzy Neural Network Control Strategy for Speed Controller Design
3.1 Sliding Surface Design
3.2 Fuzzy Neural Network Controller Structure
3.3 Online Learning Algorithm
3.4 Proposed Adaptive Fuzzy Neural Network Controller Design
3.5 Stability Analysis
4 Performance Simulation Results
4.1 System Parameters
4.2 Results of Simulated Scenarios
5 Conclusion
References
Build Feature Vector for String Supporting Pattern Matching on Encrypted Character Data
1 Introduction
2 Related Works
3 Solution for Pattern Matching on Encrypted Character Data
3.1 Feature Vector Construction for Character Strings
3.2 Pattern Matching on Feature Vector
3.3 Pattern Matching Queries Process on Encrypted Database
4 Security Analysis and Evaluation Testing
4.1 Security Analysis
4.2 Evaluation Experiments
5 Conclusion
References
A Review on Skeleton-Based Early Action Recognition
1 Introduction
2 Recent Deep Learning-Based Methods in Early Action Recognition
2.1 Overview
2.2 Direct Prediction
2.3 Knowledge Distillation
2.4 Hybrid Approach
3 A Comparison of Methods
3.1 Dataset
3.2 Results
4 Conclusion
References
Zero-Shot Learning for Salinity Forecasting
1 Introduction
2 Related Works
3 Proposed Dataset
4 Proposed Training Strategies
5 Experiments
5.1 Data Pre-processing
5.2 Implementation Details
5.3 Results
6 Conclusion
References
Machine Learning Driven Framework to Predict the Intellectual Disability
1 Introduction
2 Related Work
3 Methodology
3.1 Data Processing
3.2 Machine Learning Model
3.3 Evaluation
4 Results and Evaluation
4.1 Experimental Testbed
4.2 Evaluation
5 Conclusion
References
A Novel Directional Finding Algorithm Applying to Underwater Passive Sonar System Based on Sparse Representation Combined Adaptive Comb Filter
1 Introduction
2 Data Model
2.1 Data Model of Array Antenna
2.2 Noise Signal Model of Propeller-Equipped Sea Targets
3 Concept of Applying Sparse Representation in Direction Finding and Proposed Algorithm
3.1 Basis of Applying Sparse Representation to the Direction Finding Problem and Solution Methods
3.2 Several Greedy Algorithms
3.3 Proposed Algorithm
4 Simulation Results and Discussion
5 Conclusion
References
Design and Development of Vaccine Container Applied in Vietnam
1 Introduction
2 Materials and Methods
2.1 Mechanical Part
2.2 Electronic Part
3 Results
4 Conclusion
References
AIoT Driven Ecosystem for Mood Detection and Music Intervention
1 Introduction
2 Related Work
3 Methodology
3.1 IoT Devices
3.2 AI System Model
3.3 Music Selection
4 Results and Evaluation
4.1 Testbed
4.2 Evaluation
5 Conclusion
References
Zero-Knowledge-Proof-Based Protocol Connecting Traditional Finance to Decentralized Finance
1 Introduction
2 Related Work
2.1 Studies on Connecting Traditional Finance with Decentralized Finance
2.2 Zero-Knowledge Proof Applications
3 Background
4 Protocol Description
4.1 Problem Statement
4.2 Protocol
5 Protocol Evaluation
5.1 Scenario 1 Manual Action of a Single User
5.2 Scenario 2 Concurrent Actions of Multiple Users
6 Conclusion
References
A Flexible and Balanced Hardware Architecture of RSA Modulo Exponentiation on FPGA
1 Introduction
2 Literature Review
3 Background
3.1 Montgomery Multiplication Algorithm
3.2 Montgomery Exponentiation Algorithm
4 Proposed RSA Architecture
5 Results and Discussions
6 Conclusion
References
A Support Training System for Table Tennis Using OpenCV and MediaPipe
1 Introduction
2 Proposed Method
2.1 Block Diagram
2.2 Data Collection
2.3 Software
2.4 Calibration
3 Results and Discussion
3.1 Testing Measurement
3.2 Conclusion and Discussion
References
Efficient Resource Allocation for Multiple Bid Packages and Projects in Enterprise
1 Introduction
2 Methodology
2.1 Human and Equipment Resource Allocation Model
2.2 Objective Functions
2.3 Execution Process
3 Experimentation
3.1 Experimentation with a Benchmark Data Set
3.2 Experimentation with an ERP's Data Set
4 Conclusion
References
Real-Time Control Method for a 6-DOF Robot Using an Eye-in-Hand Camera Based on Visual Servoing
1 Introduction
2 The Proposed Method
2.1 Position-Based Visual Servoing
2.2 Calibration Camera and Determine the Position of an Object
3 Results
4 Conclusion
References
Window Wavelet Transform Method to Improve the Accuracy Measurement in White Light Interference
1 Introduction
2 Principles
3 Simulation Results
4 Conclusion
References
A Deep Learning Approach to Embryo Quality Assessment
1 Introduction
2 Related Works
2.1 Deep Learning Applications in Medical Imaging
2.2 Current Works in the World
2.3 Related Works in Vietnam
3 Methodology
3.1 Dataset and Data Preparation
3.2 Model Architectures
3.3 Class Weighting
3.4 Test Time Augmentation (TTA) Strategy
4 Experimental Design and Results
5 Discussions and Conclusion
A Appendix
References
Multiple Magnification Learning: Breast Tumor Classification with Deep Learning from Histopathological Images Based on Multiple Instance Learning Concept
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Proposed Approach
3.4 Performance Evaluation Criteria
4 Result, Discussion
5 Conclusion
References
Improvement of Ovarian Detection from Ultrasound Images Using Ensemble Learning
1 Introduction
2 Proposed Method
2.1 Ovarian Tumor Detectors
2.2 Combination of Two Detectors
3 Experiments
3.1 Dataset and Evaluation Metrics
3.2 Results
4 Conclusion
References
A User-Centric Key Management for Cloud Encryption Using Key Derivation Function
1 Introduction
2 Related Works
2.1 Key Derivation Function
2.2 Symmetric Key Algorithms
3 Proposed Method
3.1 Notation
3.2 Proposed Model of User-Centric Key Management
3.3 Experimental Design
4 Numerical Results
5 Conclusion
References
Volterra Integral Equation Based Computational Technique for Fuzzy Transform in Image Denoising
1 Introduction
2 Background
3 Proposed Method
4 Results and Evaluation
4.1 Experimental Tested
4.2 Evaluation
5 Conclusion
References
Authorization Model for Microservice-Based ERP Software
1 Introduction
2 Related Work
3 Authorisation Model for ERP Software
3.1 Data Model
3.2 Permission Assignment Mechanism
3.3 Execution Flows
3.4 Discussion
3.5 Executing the Authorization Model in Enterprise
4 Conclusion
References
A Novel Multi-task Framework with Super-Resolution Directed Network for Thyroid Nodule Segmentation in Ultrasound Images
1 Introduction
2 Literature Survey
3 Proposed Framework
4 Experimental Results and Analysis
4.1 Dataset Details and Implementation Specifications
4.2 Performance Evolution Metrics
5 Conclusion and Future Scope
References
Active Noise Control System Based on Even Mirror Fourier Filter Using an Efficient Adaptive Algorithm
1 Introduction
2 The Proposed Nonlinear ANC System
2.1 The Even Mirror Fourier Filter
2.2 Proposed Algorithm
3 Computational Complexity
4 Computational Simulation
5 Conclusion
References
EMG Signal Analysis and Machine Learning for Abnormal Movement Identification
1 Introduction
2 Protocol
3 Data Analysis
3.1 Fast Kurtogram
3.2 Hilbert-Huang Transform (HHT)
3.3 Discrete Wavelet Transform (DWT)
4 Classification
4.1 Training Method
4.2 Accuracy Analysis
4.3 Model Testing
5 Conclusion
References
ATIU: An Automated Method for Testing Embedded C/C++ Projects Containing Incomplete Units
1 Introduction
2 Motivation
3 ATIU Overview
4 Resolve Incomplete Functions
4.1 Resolve Regular Functions
4.2 Resolve Virtual Functions
5 Experiments
5.1 Benchmarks
5.2 Experimental Results
6 Conclusion
References
JSONA - From JSON to Annotations and Back: A Generative Software Development Perspective
1 Introduction
2 Background and Related Work
2.1 Motivating Example: CourseMan
2.2 JSON as a Sublanguage of Javascript
2.3 Annotations as a Metadata Sublanguage of OOPL
2.4 Using JSON and Annotations for GSD with OOPLs
2.5 Research Gaps and Contributions
3 Language Matching Between JSON and Annotations
4 Metadata-Based Transformation Between JSON and Annotations
5 Case Study 1: SPA Generation
6 Case Study 2: Design Pattern Application
7 Conclusion
References
Modularly Generating Multi-platform Single Page Applications with FrontEnd Patterns
1 Introduction
2 Background and Related Work
2.1 Motivating Example: CourseMan
2.2 The Fundamental SPA Metamodel
2.3 Realising SPA Metamodel in OOPLs with SCCL
3 Cross-Framework FrontEnd Patterns
4 SP: Extending SPA for Frontend Patterns
4.1 Extending the Core Design
4.2 Pattern Plugin Design
4.3 Pattern Adapter
4.4 Higher-Order Patterns
5 Realising SP in SPGEN
6 Evaluation
7 Conclusion
References
Combination of Deep Reinforcement Learning and Pure-Pursuit Algorithm for Adaptive Autonomous Mobile Robot Navigation
1 Introduction
2 Deep Reinforcement Learning
2.1 DQN Model Design for Mobile Robot Navigation
2.2 Training and Evaluation
3 Pure Pursuit Algorithm
4 Design model
5 Results and Discussion
6 Conclusion
References
An Improved Forest Parameters Extraction Method Applicable to Different Tree Densities from PolInSAR Data
1 Introduction
2 Datasets and Pre-processing
2.1 Simulation Dataset
2.2 The UAV-SAR Datasets
3 Methodology
3.1 Determine Ground Phase
3.2 Determine Forest Height
4 Experimental Results
4.1 The Estimated Parameters from the Simulated Data
4.2 Results of the Extraction Parameters for the UAV-SAR Datasets
5 Conclusion
References
User Performance Improvement in Cooperative Ultra Dense Networks with Presence of Walls
1 Introduction
2 System Model
2.1 Desired Signal Power
2.2 Interference Power
3 Coverage Probability
4 Simulation and Discussion
5 Conclusion
References
Synthesis Guidance Method for Air to Ground Missiles (AGM-ASM) in the Self-guided Phase
1 Summary
2 Introduction
2.1 Optimal Control Algorithm According to Letov-Kalman Approach
2.2 Synthesis of the Combined Guidance Law for Air to Surface Class Missiles
2.3 Survey and Evaluation of Combined Guidance Rules for Air-to-Surface Missiles
3 Conclusion
References
Improving Flight Trajectory Predictions with Bayesian-Optimized ConvLSTM Models
1 Introduction
2 Related Works
3 Proposed Model
4 Experimental Results
4.1 Data Preparation
4.2 Evaluation Metrics
4.3 Comparison of Experimental Results
5 Conclusions and Future Works
References
Performance of the Distance-Based FFR Technique in the Millimetre Wave Cellular Networks
1 Introduction
2 System Model
2.1 Downlink SINR
3 Coverage Probability
3.1 Definition
4 Simulation
4.1 Coverage Probability vs SINR Threshold
4.2 Coverage Probability vs Reference Distance
4.3 Coverage Probability vs Density of BSs
4.4 Coverage Probability vs LoS/nLoS Parameter
5 Conclusion
References
Convolutional Neural Network Based Attentive Model for Vehicle License Plate Identification
1 Introduction
2 Proposed DNN
2.1 License Plates Detection
2.2 License Plates Segmentation
2.3 License Plates Recognition
3 Experimental
3.1 Datasets
3.2 Performance Evaluation on Car License Plate Detection Dataset
4 Conclusion
References
Using Hypergraph Ansatz on the Hybrid Quantum-Classical Image Compression Scheme
1 Introduction
2 Related Works
2.1 Lossy Image Compression
2.2 Compression as Quantum State Preparation
2.3 Hypergraph-Based Ansatz
3 Approach
4 Experiments
5 Conclusion
References
Automatic Classifying Informative Frames for Upper Gastrointestinal Endoscopy Diagnosis Using Deep Learning Method
1 Introduction
2 Methods
2.1 Data Collection
2.2 Preprocessing
2.3 Deep Learning Architecture
3 Experimental Results
4 Conclusions
References
A Review of Applications of Machine Learning for Emissions Estimation in Diesel Engines
1 Introduction
2 Background
3 Machine Learning Methods for Emissions Estimation from in-Cylinder Pressure
4 Vibration-Based Virtual Sensors for Emissions Estimation
5 Conclusions
References
Optimizing the Accuracy of Chatbot Applications Based on the GPT-3.5 Turbo Platform of OpenAI to Provide Service Prices to Customers
1 Introduction
2 Methodology
2.1 Problem
2.2 GPT-3.5-turbo
2.3 Streamlit
2.4 Similarity Measure
2.5 Building the Chatbot
3 Results
3.1 Data
3.2 Accuracy Score
3.3 Enhancing User's Experience
4 Conclusion
References
Deep Learning-Based Assessment of Stress Levels Using EEG Signals
1 Introduction
1.1 Stress
1.2 Deep Learning
1.3 EEG Signals
2 Literature Survey
3 Architecture
4 Methodology
5 Results and Discussions
6 Conclusion and Future Enhancement
References
A Novel Approach on Medical Health Record Management System Using Blockchain
1 Introduction
2 Literature Survey
3 Architecture
4 Methodology
5 Result Analysis
6 Conclusion and Future Enhancement
References
Classification of Emotions via EEG Signals by Deep Learning Approach
1 Introduction
2 Database
3 Feature Extraction
4 Deep Learning Models for Classification
4.1 Convolusional Neural Network Model
4.2 Long Short-Term Memory Model
4.3 CNN-LSTM Model
5 Results
6 Conclusions
References
Estimating Smartphone Price Ranges Using Machine Learning Models
1 Introduction
2 Experimental Design
2.1 Data and Features
2.2 Machine Learning Models
2.3 Evaluation Metric
2.4 Proposed Architecture for Price Prediction as a Web Service
3 Results and Analysis
3.1 Data Collecting and Pre-processing
3.2 Prediction Results Using ML Models
3.3 Integrating Smartphone Price Prediction in Existing Web Applications
4 Conclusion
References
NOMA-Short-Packet Communication for Active RIS-Assisted UAV Network: BLER Analysis
1 Introduction
2 Proposed System
3 Performance Analysis
4 Numerical Results
5 Conclusion
References
A Novel Force Measurement Design for the Actuator of a Quadrotor Unmanned Aerial Vehicle
1 Introduction
2 Design a Force Calculation System for a Quadrotor UAV
2.1 Mechanical Structure
2.2 Controller Design
3 Experimental and Result
4 Conclusion
References
Microactuators Supporting and Sensor Technology an Intelligent Transportation Management System
1 Introduction
2 Technologies in Intelligent Total Transport Management
3 Applicable Sensors, Monitoring, and New Technologies
4 Conclusions
References
Revolutionizing Urban Transportation with Sensor Technology and Microactuators
1 Introduction
2 Intelligent Total Transportation Managing System
3 Identification, Evaluation and Selection of the Problems and Sensors Supporting the Transport Management
4 Conclusions
References
Analyzing Online Reviews Based on Natural Language Processing Techniques to Understand Customers' Experiences
1 Introduction
2 Related Work
2.1 Customer Experience
2.2 Customer Opinion and Sentiment Analysis
3 Methodology of Measuring Customer Experience
3.1 Rapid Miner
3.2 The Process of Customer Experience Measuring with Rapid Miner
3.3 CSAT Measuring
3.4 Customer Loyalty
3.5 Complaints Score
4 Results
4.1 Data
4.2 Overall Satisfaction
4.3 Csat
4.4 Nps
4.5 Complaints
5 Conclusion
References
Debugging Human Pose Estimation with Explainable AI
1 Introduction
2 Methodology
2.1 YOLOv8-Pose Model
2.2 Sample Dataset Overview
2.3 False Positive Analysis: Background Clutter, Partial Occlusions, Low Resolution
2.4 Blinking Analysis Results: Rapid Motion Detection, Low Image Quality Evaluation, Occlusion Detection
2.5 Explainable AI Techniques: Grad-CAM for Visualization, LIME for Local Explanations
3 Results
4 Discussion
5 Conclusion
References
IoT-Enabled Energy Management Solution Using Open IoT Gateway for Smart Grids
1 Introduction
2 Proposed Solution
2.1 Communication Between GW and PM via Modbus RTU Protocol
2.2 Communication Between GW and Sensors or Circuit Breakers via I/O Ports
2.3 Communication Between GW and PM via MQTT Protocol
2.4 IoT Platform
3 Implementation and Results
4 Conclusion
References
An Approach for Probabilistic SWIPT Beamforming in Secure MISO Channel
1 Introduction
2 System Model
3 Methodology
4 Simulation
5 Conclusion
References
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Proceedings of the International Conference on Intelligent Systems and Networks

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