Intelligent Systems and Networks

Name: Intelligent Systems and Networks | Selected Articles from ICISN 2022, Vietnam
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Selected Articles from ICISN 2022, Vietnam

Ngoc Le Anh Seok-Joo Koh Thi Dieu Linh Nguyen Jaime Lloret Thanh Tung Nguyen(Editor)

Springer (Publisher)

1st Edition

Published on 19. July 2022

XVII, 682 pages

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978-981-19-3394-3 (ISBN)

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Dr. Anh Ngoc Le is currently Vice Dean of Electronics and Telecommunications Faculty and also the Head of Intelligence Systems and Networks Laboratory (ISN Lab) in Electric Power University. He was also the Head of Communication Network Division in Information Technology Department, Vinh University and a member of Telecommunications Networks Laboratory (TENET Lab), Kyungpook National University (KNU). He obtained the Ph.D. degree in Communication and Information Technology from the School of Electrical Engineering and Computer Science, Kyungpook National University, South Korea, in 2009. His general research interests are in the area of communication networks, Internet of things, AI and Big data, real-time systems and intelligence systems.

Dr. Seok-Joo Koh received his Ph.D. in Industrial Engineering from KAIST, Korea in 1998. From August 1998 to February 2004, he worked for Protocol Engineering Center in ETRI (Electronics Telecommunication Research Institute). Since March 2004, he has been with the school of Computer Science and Engineering (CSE) in the Kyungpook National University (KNU) as a Professor. In KNU, he has also been working for the Software Education Center as the director. His current research interests include the Internet-of-Things (IoT) and IoT-related protocols and services, such as In-Vehicle Infotainment (IVI) services. He has also been interested in the newly emerging communication protocols (such as SCTP, CoAP, and QUIC) and the Internet mobility management and multicasting.
Nguyen Thi Dieu Linh is working in the Division of Electronics and Telecommunication Engineering in Electronics and Information, Faculty of Electronics Engineering Technology, 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. Jaime Lloret received his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He worked as a network designer and administrator in several enterprises. He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) since January 2017and he is the head of the "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)" Innovation Group. He is the director of the University Diploma "Redes y Comunicaciones de Ordenadores" and he has been the director of the University Master "Digital Post Production" for the term 2012-2016. He was Vice-chair for the Europe/Africa Region of Cognitive Networks Technical Committee (IEEE Communications Society) for the term 2010-2012 and Vice-chair of the Internet Technical Committee (IEEE Communications Society and Internet society) for the term 2011-2013. He has been Internet Technical Committee chair (IEEE Communications Society and Internet society) for the term 2013-2015. He has authored 14 books and has more than 600 research papers published in national and international conferences, international journals

Dr. Nguy?n Thanh Tùng is Head of IT Department, Swinburne University, Hanoi, Vietnam. He graduated in Information Technology from Royal Melbourne Institute of Technology (RMIT), PhD in Network Systems at Monash University, Australia. He is an expert in the field of wireless sensor networks and information systems. He is a leader of many research projects at State, Ministry and Vietnam National University level and participates in many international conferences in the field of information systems and networking. In his account more than 30 research article listed in repute places

Content

Intro
Preface
Contents
About the Editors
AIC Algorithm for a Decision to Choose the Convenience Store Chain: Evidence from Vietnam
1 Introduction
2 Literature Review
2.1 Brand (BD)
2.2 Social Influence (SI)
2.3 Quality Perception (QP)
2.4 Price Perception (PP)
2.5 Distribution Density (DD)
2.6 Responsiveness (RE)
2.7 Promotion Perception (PP)
2.8 Choosing Decision (CD)
3 Methodology
4 Results
4.1 AIC Algorithm
4.2 Model Evaluation
5 Conclusions
References
A Simple and Automatic Method to Estimate Lung Volume Based on Thoracic Computed Tomography Images
1 Introduction
2 Materials and Methods
2.1 Databases
2.2 Block Diagram
2.3 Extracting and Resampling Original Chest CT Images
2.4 Segmentation of Lung Part
2.5 Measuring Lung Part Volume
3 Results
3.1 Lung Segmentation
3.2 Measuring Lung Volume
4 Discussion
References
Towards Generating RESTful Full Stack Software: A Module Based Domain Driven Design Approach
1 Introduction
2 Background on MOSA Architecture
3 MOSA R : Extending MOSA for RFS Software
4 RFS Generation
4.1 Generating FrontEnd Software
4.2 Generating BackEnd Software
5 Tool Support and Evaluation
6 Related Work
7 Conclusion
References
Time Series Prediction Based on Consecutive Neighborhood Preserving Properties of Matrix Profile
1 Introduction
2 Methodology
3 Experimental Results
4 Conclusion
References
Fast and Robust Local Texture Information for Fingerprint Segmentation
1 Introduction
2 Proposed Method
2.1 Feature Extraction
2.2 Linear Classification
3 Experimental Results and Discussions
4 Conclusion
References
Developing Real-time Recognition Algorithms on Jetson Nano Hardware
1 Introduction
2 Related Work
3 Developing System
3.1 Training Mode
3.2 Optimizing Model
3.3 Developing TensorRT
4 Result
5 Conclusion
References
Numerical Method of Synthesizing the Automatic Electric Drive System Containing Elastically Linked Elements
1 Introduction
2 Material and Methods
2.1 Modeling of an Electric Drive System Containing an Elastically Linked Element
2.2 The Basis for Synthesizing the Regulator by the Interpolation Method
3 Results
3.1 Setup the Simulation Program
3.2 Simulation Results
4 Conclusion
References
A Fuzzy Approximation Supported Model-Free Tracking Control Design for Tower Crane Systems
1 Introduction
2 System Modeling
3 Adaptive Control System Design
3.1 Sliding Mode Control
3.2 Adaptive Fuzzy Sliding Mode Control
4 Simulation Results
5 Conclusion
References
Control Design of Thermoacoustic Generator Systems Using Reinforcement Learning Algorithm
1 Introduction
2 Problem Statements
3 Reinforcement Learning Based Control Design for TAGs
4 Simulation Studies
5 Conclusion
References
Application of Intrinsic Time-Scale Decomposition to Classify EEG Signals Using Machine Learning and Neural Network Methods
1 Introduction
2 Materials and Methods
2.1 WAY-EEG-GAL ch10luciw2014multi
2.2 Feature Extraction
3 Classification Methods
4 Results and Discussions
4.1 Results of Performance Using ITD Features Extraction for Each Classification Algorithms
4.2 General Performance of the Method
5 Conclusion
References
Development of Economical and Effective Ultraviolet (UVC) Irradiation Solutions and Equipment for Rapid Decontamination of SARS-CoV-2 on N95 Respirators
1 Introduction
2 Effect of UV Light on Sav-CoV 2 Virus
3 Design and Manufacture of Sterilization Chamber
3.1 Integration of Analog Timing Control Technology
3.2 Design of Sav-Cov2 Disinfection System
4 Evaluation of the Radiation Ability and the Virus Killing
4.1 Experimental Measurement of Sterilization System Radiation Distribution
4.2 Testing the Process of Killing Bacteria on N95 Masks
5 Conclusion
References
Sentiment Analysis in Twitter by Resnet-50 and VGG-19
1 Introduction
2 Related Work
3 The Method
4 Experimental Results
5 Conclusion
References
Improvement of Self-supervised Depth and Motion Learning with Vision Transformer
1 Introduction
2 Related Work
3 Methodology
3.1 Self-supervised Depth Estimation Pipeline with Vision Transformer
3.2 Image Warping Process
3.3 Method of Choosing Loss Function Weights
4 Experiments and Discussions
4.1 Depth Evaluation
4.2 Odometry Evaluation
4.3 Evaluation of Loss Weights Choosing Method
4.4 Implementation Details
5 Conclusions
References
Application of Event-Triggered Sliding Mode Control of 2-DOF Humanoid's Lower-Limb Powered by Series Elastic Actuator
1 Introduction
2 System Modeling
2.1 Lower-Limb Modelling
2.2 SEA Modelling
3 Controller Design
3.1 Event-Triggered SMC
3.2 Backstepping Process
4 Simulation and Analysis
5 Conclusion
References
Blockchain in Enterprise Applications: An Introduction
1 Introduction
2 Related work
3 Blockchain Foundation
4 Blockchain-Based Enterprise Application Architecture
4.1 Blockchain Technologies and Their Impact on Business Model
4.2 Blockchain Based Software Architecture
5 Experiment
6 Conclusion
References
Backstepping Super-Twisting Based Sliding Mode Controller for a Lower Limb Actuator
1 Introduction
2 Dynamic Modeling
3 Controller Design
3.1 Sliding Surface Design
3.2 Stability Analysis
4 Simulation and Discussion
5 Conclusion
References
Text Spotting in Vietnamese Documents
1 Introduction
2 Related Work
2.1 Text Detection
2.2 Text Recognition
2.3 Text Spotting System
3 Methodology
3.1 Preprocessing Module
3.2 Text Detection Module
3.3 Text Recognition Module
3.4 Post Processing Module
4 Experiments and Results
4.1 Dataset
4.2 Implementation Details
4.3 Comparison with Other Approaches
5 Conclusion
References
An Advanced IoU Loss Function for Accurate Bounding Box Regression
1 Introduction
2 Related Work and AIoU Loss Function
2.1 The Overlap Area
2.2 The Distances
2.3 The Side Length
2.4 The Proposed AIoU Loss Function
3 Experimental Results
3.1 Base Model
4 Conclusions
References
Occlusion Robust Face Recognition Based on Mask Learning with Attention Mechanism
1 Introduction and Related Works
2 Proposed Approach
2.1 Backbone Module
2.2 Replacement Module
2.3 Switch Module
3 Experimental Results
3.1 Implementation Details
3.2 Performance on LFW Benchmark
3.3 Performance on AR Dataset
4 Conclusion
References
A Proposed Business Intelligence Framework for Autonomous and Non-public Higher Education Institutions in Vietnam
1 Introduction
2 Literature Review
2.1 BI Systems
2.2 BI Systems in HEIs
3 Current Status in Vietnam
4 Proposed Framework
4.1 Data Source Layer
4.2 ETL Layer
4.3 Reporting Layer
4.4 Analytical Layer
4.5 Monitoring Layer
5 Conclusion
References
Fall Detection Using Omnidirectional Camera
1 Introduction
2 Related Works
3 Methodology
3.1 Background Subtraction
3.2 Feature Extraction
3.3 Classification
4 Results and Discussions
4.1 Dataset
4.2 Background Subtraction
4.3 Feature Extraction
4.4 Classification
5 Conclusions
References
Speed Up Communication for IoT Devices Using Small Form Factor in FPGA Platform
1 Introduction
2 Small Form Factor
3 Install Registers in the Driver to Control the Transmit and Receive Modes in Small Form Factor
4 Communication Standard in Small Form Factor
5 Simulation Results and Discussion
6 Conclusions
References
The High-Speed Data Transmission System on Fiber Optic Cable for IoT Equipment Using FPGA Platform
1 Introduction
2 Clock Synchronization
3 Core Transmission-Method of Transmission
4 Core Receive-Receive Method
5 Simulation Results and Discussion
6 Simulation Results and Discussion
References
Design LMI Sliding Mode Control for the Anti-aircraft Gun Speed Control Loop
1 Introduction
2 Dynamic Model and Problem Statement
3 LMI Sliding Mode Control Design
4 Simulation, Experiment and Results Assessment
5 Conclusions
References
Extraction of Characteristic Breast Dimensions of North Vietnamese Girl-Students Using Random Forest Algorithm
1 Introduction
2 Methods
3 Results and Discussion
4 Conclusions
References
Vacant Parking Car Detection and Notification by Using Multi-camera System and Deep Learning
1 Introduction
2 Related Works
3 Materials
4 Proposed Solution
5 Experiments
6 Conclusions and Perspectives
References
Implementation of Real-Time Human Tracking System Based on Deep Learning Using Kinect Camera
1 Introduction
2 Real-Time Human Tracking System
2.1 System Architecture
2.2 Camera Kinect
2.3 YOLOv3 Algorithm
2.4 The Deep SORT Tracking Algorithm
3 Experimental Results
3.1 YOLOv3 Training Model
3.2 Running System and Evaluating Results
4 Conclusion
References
An Approach to Evaluate the Reliability of the Face Recognition Process Using Adversarial Samples Generated by Deep Neural Networks
1 Introduction
2 Related Works
3 Our Proposed System
4 Experiments
5 Conclusions and Perspectives
References
Multi Deep Learning Model for Building Footprint Extraction from High Resolution Remote Sensing Image
1 Introduction
2 Method
2.1 U-net
2.2 Mask R-CNN
2.3 Multi-model
3 Experiments
3.1 Datasets
3.2 Evaluation Metrics
4 Results
5 Conclusion
References
Optimizing Energy Consumption in Smart Homes Based on OCF Standard Connectivity
1 Introduction
2 Problem Formulation
3 Smart Home Energy Management Controller with OCF Standard Connectivity
4 Proposed Architecture and System Definition
5 Conclusions
References
Physical Therapy Exercise Design for Lower Limb Rehabilitation Robot Using Character's Animation Clips
1 Introduction
2 Prototype Rehabilitation System
3 Character and Animation Clips Design
3.1 Design in 3D Creation Software
3.2 Unity Software Application
3.3 Joint Angle Calculation
4 Physical Therapy Exercises Design
4.1 Standing Exercise
4.2 Walking Exercise
4.3 Kneeing Exercise
5 Experimental Results
6 Conclusion
References
Real-Time Object Following Based on Visual Information and Online Video Stabilization for Unmanned Aerial Vehicles
1 Introduction
2 Video Stabilization Based Kalman Multirate
3 Real-Time Object Following Controller
4 Experiments and Results
5 Conclusions
References
Mobility Prediction on a Location-Based Social Network Using K Latest Movements of Friends
1 Introduction
2 Related Work
3 Method
4 Results
5 Conclusion
References
A New System for License Plate Recognition in Traffic Violation Scenarios in Vietnam
1 Introduction
2 Method
2.1 Vehicle Detection and Tracking
2.2 Traffic Violation Detection
2.3 License Plate Detection and Recognition
2.4 Model and Algorithm Deployment on Embedded Hardware
3 Results and Discussions
3.1 Evaluation of Vehicle Detection and Tracking Model
3.2 Evaluation of License Plate Detection and Recognition Model
3.3 Computational Efficiency
4 Conclusions and Outlook
References
Development of a Real-Time Obstacle Detection System on Embedded Computer Based on Neural Network and Multi-camera Streaming
1 Introduction
2 The P-DroNet Model
2.1 P-DroNet Building Process
2.2 Network Optimization
3 Evaluation of the P-DroNet Model
3.1 Single-Camera Streaming Performance
3.2 Multi-camera Streaming Performance
3.3 Real-World Experiments
3.4 Results Summary
4 Conclusions
5 Future Work
References
Optimizing Penta-Band Vivaldi Antenna for 5G, WiFi 6, Radar and Satellite Applications
1 Introduction
2 Vivaldi Antenna Design
3 Simulation Results
4 Effect of the Dimensional Parameters on the Antenna Performance
5 Measured Result
6 Conclusions
References
The Method Calculates of Radial Distance from the Human Body Surface to the Inner Surface of a Women's Shirt
1 Introduction
2 Method and Objective
2.1 Research Subjects
2.2 Using Sampling Survey Method to Determine the Sample Size for the Research
2.3 Using Interpolation Method to 3D Model the Human Body and Shirt
2.4 Use Rapidform XOR3 Software to Measure the Radial Distance Between the Body Surface and the Inner Surface of Each Shirt
2.5 Use Statistical and Computational Methods to Calculate the Radial Distance from the Surface of the Human Body to the Inner Surface of the Shirt
3 Results and Discussion
3.1 Result of Redesigning the Shirt Model and Measuring the Radial Distance Between the Surface of the Human Body and the Inner Surface of each Shirt
3.2 Result of Radial Distance Division
3.3 Model for Calculating the Radial Distance from the Surface of the Human Body to the Inner Surface of the Shirts
3.4 Determine the Radial Distance from the Surface of the Body to the Inner Surface of Shirts with a Customizable Bust Ease
4 Conclusions
References
Takagi-Sugeno Fuzzy Control for Stabilizing Nonlinear Inverted Pendulum
1 Introduction
2 System Modeling
3 Designing Fuzzy Controller
3.1 Takagi-Sugeno Fuzzy Model
3.2 T-S Controller Design
4 Result
5 Conclusion
References
A Comparative Study of Model Selection for High Dimensional Data
1 Introduction
2 Comparative Models
2.1 Decision Tree
2.2 Support Vector Machine
2.3 Naive Bayes
2.4 Bagging
2.5 Random Forests
3 Empirical Study
3.1 Data
3.2 Experimental Settings
3.3 Experimental Results
4 Related Work
5 Conclusions
References
Extract Forest Height from PolInSAR Image Based on Decomposition Scattering Component and Polarization State Optimization Technique
1 Introduction
2 Methodology
2.1 Surface Phase Estimation
2.2 Optimal Iterative Method for Forest Height Estimation
3 Experimental Results
4 Conclusion
References
Fuzzy Portfolio Selection with Flexible Optimization via Quasiconvex Programming
1 Introduction
2 Portfolio Selection Problem
3 Fuzzy Portfolio Problem
3.1 Fuzzy Optimization
3.2 Fuzzy Portfolio Problem
3.3 Semistrictly Quasiconvex Programing
4 Computational Experiment
5 Conclusion
References
AN-BEATS for Short-Term Electricity Load Forecasting with Adjusted Seasonality Blocks and Optimization of Block Order
1 Introduction
2 Methodology
2.1 Problem Statement
2.2 N-BEATS
2.3 AN-BEATS's Seasonality Blocks
2.4 Proposed Method for Load Forecasting
3 Experiments and Results
3.1 Description of Data Set
3.2 Evaluation Criteria
3.3 Experimental Scenarios
3.4 Results
4 Conclusion and Discussion
References
Non-contact Thermometer System for Body Temperature Measurement at Hospitals
1 Introduction
2 Materials and Methods
2.1 System Overview
2.2 Mechanic System
2.3 Electronic System
3 Conclusion and Discussion
References
Classification of 40 Hand Movements Based on Surface Electromyogram Signal
1 Introduction
2 Materials and Methods
2.1 Database
2.2 Data Pre-processing
2.3 Feature Extraction
2.4 Feature Reducing
2.5 Classification
3 Result and Discussion
3.1 Effect of Window Time and Overlap
3.2 Effect of Dimensionality Reduction
3.3 Effect of the Classification Structure
4 Conclusion
References
An Optimal Path Planning Issue Parameters with Potential Feasible Area Using Evolutions Algorithm
1 Introduction
2 Artificial Potential Field Statement
3 Potential Field Robot Path Planning Using Evolution Algorithm
3.1 Evolutions Algorithm (EA)
3.2 Evolution Algorithm Combined Potential Field for Path Planning
4 Simulation Experiment and Result Analysis
5 Conclusion
References
Binning on Metagenomic Data for Disease Prediction Using Linear Discriminant Analysis and K-Means
1 Introduction
2 Data Description
3 Binning Approaches
3.1 EQual Frequency Binning (EQF)
3.2 Binning Based on Linear Discriminant Analysis and Kmean Clustering
4 Experimental Results
4.1 Learning Model Comparison
4.2 Evaluation Binning Approaches
5 Conclusion
References
Letter Recognition in Hand Sign Language with VGG-16
1 Introduction
2 Related Work
3 Methods
3.1 Datasets
3.2 Architecture of the Proposed System
4 Experiment
5 Conclusions
References
A New Method for IP Camera Based Face Anti-spoofing Systems
1 Introduction
2 Method
2.1 Dataset
2.2 Object Detection Models
2.3 Models and Algorithm Deployment on Embedded Hardware
3 Results and Discussions
3.1 Evaluation of Object Models
3.2 Computational Efficiency
3.3 Practical Application
4 Conclusions and Outlook
References
Vietnamese Spelling Error Detection and Correction Using BERT and N-gram Language Model
1 Introduction
2 Related Works
3 The Proposed Model
3.1 Problem Formulation
3.2 Data Prepocessing
3.3 Model
3.4 Error Detection
3.5 Error Correction
4 Experiments and Results
4.1 Data Preparation
4.2 Experiments Settings
4.3 Results
5 Conclusion
References
Clothing Recognition Using Transfer Learning and Segmentation Techniques*-6pt
1 Introduction
2 Related Work
3 Method
4 Experimental Results
5 Conclusion
References
An Evaluation of the Multi-probe Locality Sensitive Hashing for Large-Scale Face Feature Matching
1 Introduction
2 Method
2.1 Hashing the Database
2.2 Hashing the Query Vector
2.3 Linear Matching
3 Experimental Implementation and Results
3.1 Experimental Implementation
3.2 Results
4 Conclusions and Outlook
References
Determination of Fruit Freshness Using Near-Infrared Spectroscopy and Machine Learning Techniques
1 Introduction
2 Related Works
3 Data Collection
4 Proposed Methods
4.1 Pre-processing
4.2 Feature Extraction
4.3 Machine Learning Models
5 Experimental Results
5.1 Results of Proposed CNN Model
5.2 Results of Traditional ML Models
6 Conclusion
References
Vietnamese Named Entity Recognition on Medical Topic
1 Introduction
2 Data Preparation
2.1 Collect Data
2.2 Entity Definition
2.3 Labeling Rule
2.4 Statistics Entities
3 Problem Statement
4 Experiments and Results
4.1 Settings
4.2 Main Results
5 Conclusion
References
Cooperative Communication in NSA and SA 5G Networks
1 Introduction
2 System Model
2.1 Downlink SINR
3 Coverage Probability
3.1 Definition
3.2 Stochastic Geometry Approach
3.3 Performance Simulation and Comparison
4 Conclusion
References
Cross-Layer Design for Wireless Sensor Networks Using Cooja Tool in Contiki Operating System
1 Introduction
2 ContikiMAC and RPL Protocol
2.1 ContikiMAC
2.2 The RPL Protocol
3 Proposal ContikiMAC-RPL Cross-Layer Design
3.1 The Protocol Architecture
3.2 Enhanced Combining Objective Function (ECOF)
3.3 The Network Lifetime
4 System Setup and Simulation Results
4.1 Simulation Setup
4.2 Simulation Results of the First Scenario
4.3 Simulation Results of the Second Scenario
5 Conclusion
References
Mobile Robot Motion Control Using a Combination of Fuzzy Logic Method and Kinematic Model
1 Introduction
2 Kinematic Model
3 Fuzzy Control Method
4 Results and Discussion
5 Conclusion
References
Examining Topology and Dynamics-Related Modular Robustness in a Large-Scale Signaling Network
1 Introduction
2 Preparations and Methodology
2.1 Datasets
2.2 Module Detection
2.3 Definition of Network Robustness and Internal and External Durability of the Module
2.4 GO Analysis and Definition of How to Evaluate the Center of the Module
3 Results
3.1 The Relationship of Module Size and Module Centrality
3.2 Comparison of In-Module Robustness Between Two Different Groups of Modules
3.3 Gene Ontology Analysis
3.4 Essential Genes Analysis
4 Conclusion
References
Implementation of SMOTE and VGG-16 for COVID-19 Radiography
1 Introduction
2 Related Work
3 The Method
4 Experimental Results
5 Conclusions
References
Research Complex Fuzzy Inference System in Early Warning Credit Risk at Commercial Banks in Viet Nam
1 Introduction
2 Background
2.1 Fuzzy Set
2.2 Complex Fuzzy Set [3]
2.3 Mamdani Complex Fuzzy Inference System (M-CFIS)
3 Using M-Cfis to Determine Client's Financial Risk
3.1 Problem
3.2 Implementation Model
3.3 Experimental
4 Conclusion and Future Research Scope
References
A Proposed Architecture of Intelligent Operations Center for Smart Cities Development
1 Introduction
2 Methodology
2.1 Background
2.2 IOC Architecture
2.3 IOC Architecture Characteristics
2.4 Technology Used
3 Results
4 Conclusion
References
Greedy Detection for ReIQ System
1 Introduction
2 Proposed Scheme
3 Proposed GD Detector
4 Performance Evaluation
5 Conclusion
References
Improving Reliabality of Laser Sensor in Aviation Equipment with Anti-jamming Encoding Solution
1 Introduction
2 Operating Principle of Laser Sensor
3 Reliability Improvement of Laser Sensor Using Spread Spectrum Encoding Technique
4 Simulation, Experiments and Results
5 Conclusion
References
Proposing System for Classifying Voucher Images Using Siamese Model
1 Introduction
2 Related Work
3 Developing System
3.1 Autoencoder and Siamese Model
3.2 Overview Proposed System
3.3 Extracting Information Module
3.4 Image Classification Module
4 Result
4.1 Dataset
4.2 Result
5 Conclusion
References
Synthesis of Target Angle Tracking System Combining Kalman Filter Algorithm with Fuzzy Logic Controller
1 Introduction
2 Algorithm to Determine Target Angle Coordinates Combining Kalman Filter with Fuzzy Logic Controller
2.1 Structure of the Line-of-Sight Angle Coordinate Evaluation Filter Using Kalman Filter Algorithm Combined with Fuzzy Logic Controller
2.2 Algorithm to Evaluate the Line of Sight Angle Coordinates
2.3 Evaluation Algorithm the Line of Sight Angle Coordinates Using Fuzzy Logic Controller
3 Simulation Results and Analysis
4 Conclusion
References
Design of an Adaptive Fuzzy Hierarchical Sliding-Mode Control for Uncertainties Pendubot
1 Introduction
2 System Dynamic of the Pendubot
3 Fuzzy Hierarchical Sliding Mode Control
4 Demonstrative Example
5 Conclusion
References
Adaptive Neural Network Hierarchical Sliding-Mode Control for Pendubot Based Genetic Algorithm Optimization
1 Introduction
2 The Proposed Methodology
3 Simulation Results
4 Conclusion
References
Classification of Malicious Websites Using Feature Based Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Dataset Collection and Pre Processing
3.2 Feature Extraction
3.3 Model Training and Testing
4 Experimental Analysis
4.1 Comparative Analysis
5 Conclusion
References
A Design Model Network for Intelligent Web Cache Replacement in Web Proxy Caching
1 Introduction
2 Model Network Designing in Internet Web Caching Architecture
3 Simulations and Results
4 Conclusion
References
An Abnormal Heart Rhythm Warning System Based on a Low-Cost Two-Electrode ECG Signal Using Threshold and Neural Network Approaches
1 Introduction
2 Methodology and Materials
2.1 A Subsection Sample
2.2 Normal/Abnormal Diagnosis
2.3 Data and Warning Display
3 Results and Evaluation
3.1 Threshold-Based Model
3.2 Neural Network-Based Model
4 Conclusions and Discussion
References
Edge AI Implementation for Recognizing Sounds Created by Human Activities in Smart Offices Design Concepts
1 Introduction
2 System Design
2.1 System Overview
2.2 Feature Extraction
2.3 Dataset
2.4 Proposed CNN Model
2.5 Embedding the Model into the Microcontroller
3 Result
3.1 Result of Training Model on the PC
3.2 Result of Deploying Model on the MCU
4 Conclusion
References
The Remarkable Enhancement in Fish Freshness Classification on Various Species Using Neural Network on Physiological Characteristics Features
1 Introduction
2 Methodology and Materials
2.1 Data Collection
2.2 Pre-processing and Feature Extraction
2.3 Neural Network Training
3 Observation and Discussions
3.1 Data Visual Analysis
3.2 Observation on Extracted Features
3.3 Classification Results and Analysis
4 Conclusion
References
Enabling the Smart City Through Agile LP-WAN Network in Da Nang City
1 Introduction
2 First Deployment and Coverage Testing
3 LoRaWAN End-Node Device for the Coverage Testing
4 Extending the Coverage with LoRaWan Relay
5 Deployment Plan in the Future
6 Conclusion
References
An Effective Beamformer for Interference Mitigation
1 Introduction
2 Problem Formulation
3 The Proposal of the Beamformer
3.1 The Block Diagram
3.2 The Fitness Function
3.3 The Proposed Algorithm
4 Numerical Results
4.1 Convergence Characteristics
4.2 Effective Null-Steering Ability
4.3 Optimized Patterns When Considering MC Effects
4.4 Optimized Patterns When Steering the Main Lobe
5 Conclusion
References
Support Vector Machine Used for Gender Classification
1 Introduction
1.1 Gender Classification Using SVM
2 Related Work
3 Proposed Methodology
3.1 Algorithm
4 Result and Discussion
5 Conclusion
References
Relay Selection for Enhancing the Performance of Full-Duplex System with Imperfect Transceiver Hardware
1 Introduction
2 System Model
3 Performance Analysis
3.1 Outage Probability
3.2 Ergodic Capacity
4 Numerical Results and Discussions
5 Conclusion
References
Heart Disease Prediction Using Soft Computing Methods
1 Introduction
2 Literature Survey
3 Methodology
3.1 Feature Selection
3.2 Classification
4 Result
5 Conclusion
References
Enhancing Inflammatory Bowel Disease Diagnosis Performance Using Chi-Squared Algorithm on Metagenomic Data
1 Introduction
2 Related Work
3 Methodology
3.1 Chi-Squared Algorithm
3.2 Feature Selection Using Chi-Squared Method
3.3 Feature Selection Randomly
3.4 Disease Prediction Using Random Forest Classifiers
4 The Experiments
4.1 Dataset Description
4.2 Data Division and Metrics for Evaluation
4.3 Prediction Result with All Features
4.4 Using Chi-Squared to Select Features
5 Conclusion
References
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Intelligent Systems and Networks

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