Intelligent systems and networks : selected articles from ICISN 2022, Vietnam / Ngoc Le Anh [and four others] editors.

Format
Book
Language
English
Published/​Created
  • Singapore : Springer, [2022]
  • ©2022
Description
1 online resource (700 pages)

Details

Subject(s)
Editor
Series
Lecture notes in networks and systems ; 471. [More in this series]
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on print version record.
Contents
  • 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
  • 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
  • Towards Generating RESTful Full Stack Software: A Module Based Domain Driven Design Approach
  • 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
  • Time Series Prediction Based on Consecutive Neighborhood Preserving Properties of Matrix Profile
  • 2 Methodology
  • 3 Experimental Results
  • 4 Conclusion
  • Fast and Robust Local Texture Information for Fingerprint Segmentation
  • 2 Proposed Method
  • 2.1 Feature Extraction
  • 2.2 Linear Classification
  • 3 Experimental Results and Discussions
  • Developing Real-time Recognition Algorithms on Jetson Nano Hardware
  • 2 Related Work
  • 3 Developing System
  • 3.1 Training Mode.
  • 3.2 Optimizing Model
  • 3.3 Developing TensorRT
  • 4 Result
  • 5 Conclusion
  • Numerical Method of Synthesizing the Automatic Electric Drive System Containing Elastically Linked Elements
  • 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
  • 3.1 Setup the Simulation Program
  • 3.2 Simulation Results
  • A Fuzzy Approximation Supported Model-Free Tracking Control Design for Tower Crane Systems
  • 2 System Modeling
  • 3 Adaptive Control System Design
  • 3.1 Sliding Mode Control
  • 3.2 Adaptive Fuzzy Sliding Mode Control
  • 4 Simulation Results
  • Control Design of Thermoacoustic Generator Systems Using Reinforcement Learning Algorithm
  • 2 Problem Statements
  • 3 Reinforcement Learning Based Control Design for TAGs
  • 4 Simulation Studies
  • Application of Intrinsic Time-Scale Decomposition to Classify EEG Signals Using Machine Learning and Neural Network Methods
  • 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
  • Development of Economical and Effective Ultraviolet (UVC) Irradiation Solutions and Equipment for Rapid Decontamination of SARS-CoV-2 on N95 Respirators
  • 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
  • Sentiment Analysis in Twitter by Resnet-50 and VGG-19
  • 3 The Method
  • 4 Experimental Results
  • Improvement of Self-supervised Depth and Motion Learning with Vision Transformer
  • 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
  • Application of Event-Triggered Sliding Mode Control of 2-DOF Humanoid's Lower-Limb Powered by Series Elastic Actuator
  • 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
  • Blockchain in Enterprise Applications: An 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
  • Backstepping Super-Twisting Based Sliding Mode Controller for a Lower Limb Actuator
  • 2 Dynamic Modeling
  • 3.1 Sliding Surface Design
  • 3.2 Stability Analysis
  • 4 Simulation and Discussion
  • Text Spotting in Vietnamese Documents.
  • 2.1 Text Detection
  • 2.2 Text Recognition
  • 2.3 Text Spotting System
  • 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
  • An Advanced IoU Loss Function for Accurate Bounding Box Regression
  • 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
  • 3.1 Base Model
  • 4 Conclusions
  • 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
  • 3.1 Implementation Details
  • 3.2 Performance on LFW Benchmark
  • 3.3 Performance on AR Dataset
  • A Proposed Business Intelligence Framework for Autonomous and Non-public Higher Education Institutions in Vietnam
  • 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
  • Fall Detection Using Omnidirectional Camera
  • 2 Related Works
  • 3.1 Background Subtraction
  • 3.2 Feature Extraction
  • 3.3 Classification
  • 4 Results and Discussions
  • 4.2 Background Subtraction
  • 4.3 Feature Extraction
  • 4.4 Classification
  • Speed Up Communication for IoT Devices Using Small Form Factor in FPGA Platform.
  • 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
  • The High-Speed Data Transmission System on Fiber Optic Cable for IoT Equipment Using FPGA Platform
  • 2 Clock Synchronization
  • 3 Core Transmission-Method of Transmission
  • 4 Core Receive-Receive Method
  • 6 Simulation Results and Discussion
  • Design LMI Sliding Mode Control for the Anti-aircraft Gun Speed Control Loop
  • 2 Dynamic Model and Problem Statement
  • 3 LMI Sliding Mode Control Design
  • 4 Simulation, Experiment and Results Assessment
  • Extraction of Characteristic Breast Dimensions of North Vietnamese Girl-Students Using Random Forest Algorithm
  • 2 Methods
  • 3 Results and Discussion
  • Vacant Parking Car Detection and Notification by Using Multi-camera System and Deep Learning
  • 3 Materials
  • 4 Proposed Solution
  • 5 Experiments
  • 6 Conclusions and Perspectives
  • Implementation of Real-Time Human Tracking System Based on Deep Learning Using Kinect Camera
  • 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
  • 3.1 YOLOv3 Training Model
  • 3.2 Running System and Evaluating Results
  • An Approach to Evaluate the Reliability of the Face Recognition Process Using Adversarial Samples Generated by Deep Neural Networks
  • 3 Our Proposed System
  • 4 Experiments.
  • 5 Conclusions and Perspectives.
ISBN
981-19-3394-4
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