Kooperativer Bibliotheksverbund

UID:

Umfang: XXXII, 459 p. 225 illus., 199 illus. in color. , online resource.

Ausgabe: 1st ed. 2024.

ISBN: 9783031508189

Serie: Lecture Notes in Networks and Systems, 848

Inhalt: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Anmerkung: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783031508172

Weitere Ausg.: Printed edition: ISBN 9783031508196

Sprache: Englisch

DOI: 10.1007/978-3-031-50818-9

URL: https://doi.org/10.1007/978-3-031-50818-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: 1 online resource (478 pages)

Ausgabe: First edition.

ISBN: 3-031-50818-1

Serie: Lecture Notes in Networks and Systems Series ; Volume 848

Anmerkung: Intro -- Organization -- Keynotes -- Exploitation of Electronic Medical Records -- Advancing Slope Land Disaster Monitoring and Alert Systems through Synergistic IoT and AI Integration -- Audio/Speech Information Hiding Based on Human Auditory Characteristics -- Research on Intrusion Detection on Host Devices -- Acknowledgements -- About This Book -- Contents -- About the Editors -- Electronics -- A Closely Spaced Multi-element Self-Isolated MIMO Antenna Array -- 1 Introduction -- 2 Antenna Design -- 2.1 Decoupling Mechanism -- 2.2 Antenna Structure -- 3 Antenna Operation Characteristics -- 4 Conclusion -- References -- A Comparative of Positive Real Truncation and H-Infinity Reduction Techniques for Model Simplification in Electrical Circuits and Power Systems -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Algorithm for Model Reduction of Unstable Systems Based on H-Infinity Truncation -- 4 Performance Evaluation of PRR and HBR for Model Reduction -- 5 Conclusion -- References -- A Low Noise 10-Bit 59.41dB SNR SAR ADC Using Chopper Comparator for Biomedical Applications -- 1 Introduction -- 2 Comparator Architecture -- 3 Capacitive in SAR ADC 10-Bit -- 4 Simulation Results -- 5 Conclusion -- References -- Approach New Framework of Compressive Sensing Based Secret Sharing in Wireless Sensor Network: Theory and Applications -- 1 Introduction -- 2 Background of CS -- 2.1 Sparse Data Presentation -- 2.2 Measurement Matrices and CS Measurements -- 2.3 Data Recovery Algorithms -- 3 Proposed Methods: CS Based Secret Sharing (C3S) -- 3.1 Data Collection Schemes Utilizing CS -- 3.2 Using Random Seeds to Create CS Measurements -- 3.3 Using Random Seeds to Reconstruct Data -- 3.4 Discussion About the Advantages and Disadvantages of the Proposed Framework -- 4 Some Simulation Results. , 5 Conclusions and Future Work -- References -- Design and Implementation of a Natural Respiratory Rate Monitoring System Using Flex and Inertial Sensors on Medium-Power Microcontrollers -- 1 Introduction -- 2 Research Methods -- 2.1 Data Analytics -- 2.2 Noise Filter -- 2.3 Respiratory Rate Determination Algorithm -- 2.4 Human Activity Recognition Model -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Design of 1 × 4 Microstrip Patch MIMO Antenna for 5G Applications -- 1 Introduction -- 2 Antenna Design -- 3 Antenna Characteristic -- 3.1 Decoupling Mechanism -- 3.2 Antenna Performances -- 4 Conclusion -- References -- GPRS Based Health Monitoring System -- 1 Introduction -- 2 Proposed System -- 2.1 Description of the System -- 2.2 Liquid Crystal Display -- 2.3 Schematic Description -- 2.4 Bit Modes -- 2.5 GPRS for the Health Monitoring System -- 2.6 Temperature Sensors -- 2.7 Experimental Results -- 2.8 Conclusion -- References -- Model Reduction Techniques for Circuits: Positive Real Balancing and Stochastic Balancing Comparison -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Stochastic Balancing-Based Order Reduction Algorithm, Preserving Minimum Phase -- 4 Implementation and Comparison of PRR and SBR -- 5 Conclustion -- References -- Non-Invasive Feature Selection for Intrusion Detection Systems in the Internet of Things -- 1 Introduction -- 2 Data and Preprocessing -- 3 Method -- 3.1 Intelligent Algorithms -- 3.2 Feature Transformation and Variable Selection -- 3.3 Performance Validation -- 4 Results and Discussions -- 4.1 Performance Validation -- 4.2 Proposed IDS Design and Comparisons -- 5 Conclusions -- References -- Piggyback-Based Collaborative Resource Selection in C-V2X -- 1 Introduction -- 2 Related Work -- 3 Semi-Persistent Scheduling. , 4 Channel Congestion Due to Aperiodic Traffic Generation -- 5 Piggyback-Based Resource Allocation in C-V2X -- 6 Conclusion -- References -- Speeding Up SIFT for Faster Feature-Based UAV Visual Localization -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-Processing Map and UAV Image -- 3.2 Limit Searching Area for Keypoints -- 3.3 Using PCA to Reduce the Dimension of the Vector Descriptor -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Results -- 5 Conclusion -- References -- The Using of Real Part Component to Enhance Performance of MVDR Beamformer -- 1 Introduction -- 2 Robust MVDR Beamformer -- 3 The Principles of MVDR Beamformer -- 4 The Using of Real Part Component -- 5 Experiments -- 6 Conclusion -- References -- Control and Automation -- A Case Study on the Kinematics Analysis of a Self-Stabilizing Dual-Wheeled Mobile Robot -- 1 Introduction -- 2 Kinematic Model -- 3 Modeling and Control of the Robot -- 4 Results and Discussion -- References -- A Finite-Time Recursion-Based Tracking Control for Under-Actuated Autonomous Underwater Vehicles -- 1 Introduction -- 2 System Description and Control Objectives -- 2.1 UAUV's Mathematical Model -- 2.2 System Seperation and Control Objective -- 3 Methodology -- 3.1 Tracking Error State Modification -- 3.2 Kinematic Controller Design -- 3.3 Kinetic Controller Design -- 4 Numerical Results -- 5 Conclusion and Future Work -- References -- A Reinforcement Learning Method for Control Scheme of Permanent Magnet Synchronous Motor -- 1 Introduction -- 2 Reinforcement Learning Based Control Structure -- 3 Simulation Results -- 4 Conclusion -- References -- An Effective Intelligent Control Strategy for the Inverted Pendulum System on a Cart Applies a Hierarchical Sliding Mode Control Technique Combined with an Adaptive RBF Neural Network -- 1 Introduction -- 2 Mathematical Model. , 3 Intelligent Control Strategy -- 3.1 Hierarchical Sliding Mode Control (HSMC) -- 3.2 Intelligent Control Using Adaptive RBF Artificial Neural Network -- 4 Algorithm Simulation Results -- 4.1 Scenario 1: The System Without External Disturbances and Unchanged Model Parameters -- 4.2 Scenario 2: The System with External Disturbances and Changes in Model Parameters -- 5 Conclusions -- References -- Design and Control of an Unmanned Aerial Vehicle (Quadcopter) for Agriculture -- 1 Introduction -- 2 Quadcopter System Modeling -- 2.1 Linearized Models -- 2.2 Control Designing -- 2.3 Control System Simulation -- 3 Test Results -- 4 Conclusion -- References -- Design and Simulation of PID-Based Control System for UAV Quadcopters -- 1 Introduction -- 2 Dynamic Modelling for a Quadcopter -- 3 Controller Design for Quadcopter -- 4 Simulation Results -- 5 Conclusions and Future Work -- References -- Development of Traffic Congestion Prediction Solution Using Cellular Neural Network Technology -- 1 Introduction -- 2 Traffic Congestion Problem and Solutions -- 2.1 A Mathematical Model of the Problem -- 2.2 Simulation Results -- 3 Propose a Model to Handle Traffic Forecasting Problem in a City -- 4 Design a CNN Circuit for the Problem -- 4.1 Cellular Neural Network Technology (CNN Technology) -- 4.2 Design the CNN Chip for Solving Traffic Equation -- 5 Conclusion -- References -- Optimal Design of Hedge-Algebras-Based Controller for Active Suspension Systems with Parameter Uncertainty -- 1 Introduction -- 2 The Quarter-Car Active Suspension Model -- 3 Control Design -- 4 Numerical Simulations -- 5 Conclusions -- References -- Optimizing Cooling Loads, Taking into Account Compensation Costs for Users, Temperature Factors, and Distributed Energy Sources -- 1 Introduction -- 2 System Structure and Cost Factors -- 2.1 System Structure. , 2.2 Electricity Procurement Costs and Benefits of Selling Electricity -- 2.3 Compensation Strategy for Meeting User's Demand -- 3 ACL Model and Distributed Energy Sources -- 3.1 ACL Model -- 3.2 The Distributed Energy Source Model - Wind Power -- 4 Optimization Model -- 5 Results and Discussion -- References -- Path Tracking Control Approach and Processing Lumped Disturbances for AGV in Recent Years: an Overview -- 1 Introduction -- 2 Survey of Tracking Control Algorithms -- 2.1 PID (Proportional-Intergral-Derivative) -- 2.2 Backstepping Technique -- 2.3 Fuzzy Logic Control and Neural Network -- 2.4 SMC (Sliding Mode Control) -- 2.5 MPC (Model Predictive Control) -- 2.6 Handling External Disturbances and Model Parameter Uncertainties -- 3 Related Notes -- 4 Strength, Weakness, and Application Areas -- 5 Conclusion -- Appendix -- References -- Radial Basis Function Neural Network Based Fractional Order Sliding Mode Control for Planar Flexible-Joint Robot 2-Dof -- 1 Introduction -- 2 Mathetical Model -- 3 Research Methods -- 3.1 Fraction Math -- 3.2 Radial Network RBF -- 3.3 Adaptive Fractional Order Sliding Controller Based on RBF -- 4 Simulation Results -- 4.1 Simulation Scenario -- 4.2 Results and Comparison -- 5 Conclusion -- References -- Stabilizing Control for an Inverted Eccentric Pendulum System -- 1 Introduction -- 2 Mathematical Model -- 3 Control Objectives and Design -- 4 Simulation -- 5 Conclusion -- References -- Multimedia -- A Lightweight Attention Model for Face Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Attention Modules -- 2.2 Proposed Network -- 3 Experiment -- 3.1 Dataset -- 3.2 Implementation Detail -- 3.3 Performance and Analysis -- 4 Conclusion -- References -- Assessment of Video Transmission Delay from a Telemetry Surveillance System -- 1 Introduction -- 2 Architecture of Remote Telemetry Surveillance System. , 3 Research Methodology and Experimentation.

Weitere Ausg.: ISBN 9783031508172

Sprache: Englisch

UID:

Umfang: 1 online resource (478 pages)

Ausgabe: 1st ed. 2024.

ISBN: 3-031-50818-1

Serie: Lecture Notes in Networks and Systems, 848

Inhalt: This book contains four keynote abstracts and 83 best peer-reviewed papers selected from the 179 submissions at the 2nd International Conference on Advances in ICT (ICTA 2023), which share research results and practical applications in ICT research and education. Technological changes and digital transformation that have taken place over the past decade have had significant impacts on all economic and social sectors. Information and Communication Technology (ICT) in general and artificial intelligence (AI) in particular have driven socio-economic growth. The topics cover all ICT-related areas and their contributions to socio-economic development, focusing on the most advanced technologies, such as AI. Researchers and practitioners in academia and industry use the books as a valuable reference for their research activities, teaching, learning, and advancing current technologies. The Conference is hosted by Thai Nguyen University of Information and Communication Technology (ICTU).

Anmerkung: A combination of Active Learning and Deep Learning for improving breast cancer prediction -- A Novel Arm Bone Fracture Detection Using Deep Learning -- A systematic review of Artificial Intelligence in Geographic Information Systems -- Build an effective system for container code recognition -- Building an Efficient Retriever System with Limited Resources -- Deep Learning based Coconut Fruit Maturity Classification -- Enhanced prediction of mRNA subcellular localization using a novel ensemble learning and hybrid approach.

Weitere Ausg.: ISBN 9783031508172

Sprache: Englisch

DOI: 10.1007/978-3-031-50818-9