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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