Proceedings of 3rd International Conference on Artificial Intelligence, Robotics, and Communication

Name: Proceedings of 3rd International Conference on Artificial Intelligence, Robotics, and Communication | ICAIRC 2023
Brand: Springer
Price: 213.99 EUR
Availability: OnlineOnly

ICAIRC 2023

Sanjay Yadav Yogendra Arya Shailesh M. Pandey Noredine Gherabi Dimitrios A. Karras(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 18. Juni 2024

XIII, 371 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-981-97-2200-6 (ISBN)

213,99 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Personen

Prof. (Dr.) Sanjay Yadav, born in 1962, obtained his master degree in science (M.Sc.) in 1985 and Ph.D. degree in Physics in 1990. He is Former Chief Scientist and Head, Physico Mechanical Metrology Division of NPL, India and Former Faculty of Physical Sciences, Academy of Scientific and Innovative Research (AcSIR), HRDG, Ghaziabad. He taught 'Advanced Measurement Techniques & Metrology course, took practical classes and supervising graduate, master and Ph.D. students since 2011. He is working as the Editor-in-Chief (EIC) of the MAPAN: The Journal of Metrology Society of India. He has significantly contributed to pressure metrology, biomedical instrumentation, ultrasonic transducers and instrumentation systems. His current research interests include research and developmental activities in physico mechanical measurements; establishment, realization, maintenance and up-gradation of national pressure and vacuum standards; dissemination of national practical pressure scale to users through apex level calibration, training and consultancy services; inter-laboratory comparisons, proficiency testing programme and key comparisons, implementation of Quality System in the laboratory as per ISO/IEC 17025 standard and Finite Element Analysis (FEA) and Monte Carlo Simulations for pressure balances. He has over 450 research publications to his credit, published in the national and international journals of repute and conferences besides contributing in several books as editor and author, published by Springer and MSI as well as in drafting several project, scientific and technical reports, documents and policy papers.

Dr. Yogendra Arya is currently working as an Associate Professor with the Department of Electrical Engineering, J.C. Bose University of Science & Technology, YMCA, Faridabad, India. He received his A.M.I.E. in Electrical Engineering from The Institution of Engineers (India), in 2008, M.Tech. (Instrumentation & Control) fromDCRUST, Murthal, Haryana in 2010 and a Ph.D. from Delhi Technological University, Delhi in 2018. He has published 50+ research papers in reputed International journals. He is a regular reviewer of leading journals. He is a Fellow of IETE, SM of IEEE, an Associate Member of The Institution of Engineers (India), and a Life Member of ISTE. His major areas of research interest include instrumentation, control, AGC/LFC in smart grids, fuzzy control, energy storage systems, and renewable energy systems.

Dr. Shailesh M Pandey's academic journey is rooted in his pursuit of excellence and dedication to his field. He completed his B. Tech in Mechanical Engineering in the year 2007 and Qualified GATE in 2010. He holds a Master's degree (2012) and a Ph.D. (2017) in Mechanical Engineering from DTU (Delhi Technological University), a prestigious institution known for its strong engineering programs. For his M.Tech. dissertation and Doctoral research work, he had the privilege of being supervised by two esteemed professors, Prof. Qasim Murtaza and Prof. R.S. Walia from Delhi Technological University (DTU) Delhi. Currently, Dr. Pandey serves as a Training and Placement Officer at NIT Patna, where he guides and supports students in their career development, a position he has held since 2020. His area of research includes surface modification, coating, tribology, material processing, composite materials, metal matrix nanocomposites, nano-coatings, wear, deformation, and corrosion. He has guided more than 25 B.Tech projects and 10 M.Tech dissertations. At present, 5 PhD Students are working under his supervision. Dr. Pandey is also the founder and president of the educational and skill-development NGO "Avhikalpana" and a Trust "Research and Innovation Trust".

Prof. Dr. Noreddine Gherabi is a professor of computer science with industrial and academic experience. He holds a doctorate in computer science. In 2013, he worked as a professor of computer science at Mohamed Ben Abdellah University, and since 2015 has worked as a research professor at Sultan Moulay Slimane University, Morocco. Member of the International Association of Engineers (IAENG). He has several contributions to information systems namely: big data, semantic web, pattern recognition, and intelligent systems. He has papers (book chapters, international journals, and conferences/workshops), and edited books. He has served on executive and technical program committees and as a reviewer of numerous international conferences and journals, he convened and chaired more than 30 conferences and workshops.

Prof. Dr. Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985, and a Ph.D. Degree in Electrical Engineering, from the NTUA, Greece in 1995, with honors. From 1990 to 2004 he collaborated as a visiting professor and researcher with several universities and research institutes in Greece. Since 2004, after his election, he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as an associate professor in Intelligent Systems-Decision Making Systems, Digital Systems, Signal Processing, till 12/2018, as well as with the Hellenic Open University, Dept. Informatics as a visiting professor in Communication Systems (the latter since 2002 and up to 2010). Since 1/2019 is an Associate Prof. in Intelligent Systems-Decision Making Systems, Digital Systems, and Signal Processing at the National & Kapodistrian University of Athens, Greece, School of Science, Dept. General as well as Adjunct Assoc. Prof. with the EPOKA university, Computer Engineering Dept., Tirana. He has published more than 70 research-refereed journal papers in various areas of intelligent and distributed/multiagent systems, Decision Making, pattern recognition, image/signal processing,and neural networks as well as in bioinformatics and more than 185 research papers in International refereed scientific Conferences. His research interests span the fields of intelligent and distributed systems, Decision Making Systems, multiagent systems, pattern recognition and computational intelligence, image and signal processing and systems, biomedical systems, communications, and networking as well as security. He has served as a program committee member as well as program chair and general chair in several international workshops and conferences.

Inhalt

Intro
Preface
Contents
About the Editors
Artificial Intelligence Control and Information Detection
Generalization Method of Virtual Test Scenarios for Autonomous Vehicles
1 Introduction
2 Indicators Hierarchical Model
3 Functional Scenario Construction
4 Logic Scenarios Construction
5 Concrete Scenarios Construction
6 Case Study
6.1 Functional Scenario Generation
6.2 Examples of Logical Scenarios Generalization
6.3 The Concrete Scenarios Generalization
7 Conclusion
References
MaskMel-Prosody-CycleGAN-VC: High-Quality Cross-Lingual Voice Conversion
1 Introduction
2 MaskMel
3 MaskMel-Prosody-CycleGAN
3.1 Training of MaskMel-Prosody-CycleGAN
3.2 Runtime Conversion
4 Experiments
5 Conclusions
References
Design and Research of UAV Fire Emergency and Intelligent Inspection System in the Valve Hall of Converter Station
1 Introduction
2 Design and Research of Firefighting UAV System
2.1 UAV Mounting and Remote Control Precision Throwing Technical Scheme
2.2 Efficient Fire Extinguishing Material Configuration Scheme Suitable for Power Electronics in the Valve Hall
3 Design and Research of UAV Intelligent Inspection System
3.1 Intelligent Air Stations
3.2 Centrally Controlled UAV
3.3 Centralized Control Flight Control System
3.4 Indoor Positioning System
3.5 Research on Electromagnetic Interference in UAV Communication Band
4 Conclusion
References
Development Overview and Application Prospects of Advanced UUVs
1 Introduction
2 Current Development and Application Status of Advanced UUV Abroad
2.1 Overview of the Development of the Advanced UUV in US
2.2 Overview of the Development of the Advanced UUV in the European Countries
2.3 Overview of the Development of the Advanced UUV in Russian
3 The Key Technology of Advanced UUV
3.1 The Monomer Technology of UUV
3.2 The Cluster Technology of UUV
4 UUV Application Outlook
4.1 Exploration of Unknown Marine Environments
4.2 Exploration of Unfamiliar Landing Site Environments
5 Conclusion
References
Bisporus Mushroom 3D Reconstruction for Digital Twin of Smart Factory
1 Introduction
2 Related Work
2.1 3D Reconstruction of Crops
2.2 Point Cloud Segmentation
2.3 Point Cloud Completion
3 Materials and Methods
3.1 Data Acquisition
3.2 Point Cloud Acquisition
3.3 YOLOv5
3.4 Bisporus Mushroom Cap Ellipsoid Fitting
4 Results and Discussion
4.1 Evaluation of Bisporus Mushroom Cap Detection
4.2 Comparison of Point Cloud Segmentation Methods
4.3 Evaluation of Bisporus Mushroom Cap Reconstruction
5 Conclusion
References
Research on Automatic Music Generation Based on LSTM
1 Introduction
2 Related Theory
2.1 MIDI Music Files
2.2 Neural Network
3 Note Feature Vector Construction
3.1 MIDI Music Track Extraction
3.2 Note Feature Vector Generation Method
4 Model Design
4.1 Model Structure
4.2 Training Process
4.3 Music Generation Process
5 System Design and Result Analysis
5.1 System Design
5.2 Result Analysis
6 Conclusion
References
Specific Emitter Identification Method Based on Aggregation Model with Metric Learning in Complex Field
1 Introduction
2 2G-ALE Signal and Data Processing
3 Model Construction
3.1 Submodel
3.2 Aggregation Model
4 Experimental Results and Analysis
5 Conclusion and Deficiency
References
Fake Comment Detection Based on Generative Adversarial Networks
1 Introduction
2 Related Research
3 Methodology Introduction
3.1 Problem Statement
3.2 Generator Network
3.3 Discriminator Network
4 Results and Analysis
4.1 Datasets
4.2 Evaluating Indicator
4.3 Result and Analysis
5 Conclusion
References
Shipping Risk Assessment Ship Inspection Method Based on Improved YOLOv5
1 Introduction
2 Research on Target Detection Algorithm
2.1 YOLOv5 Object Detection Algorithm
2.2 Improved YOLOv5 Object Detection Algorithm
3 Experiment and Result
3.1 Experimental Dataset
3.2 Experimental Platform and Training Parameter Setting
3.3 Evaluation Index
3.4 Analysis of Experimental Results
4 Conclusion
References
Spatiotemporal Prediction of Harmful Algal Blooms Based on Spatiotemporal Attention and Transformer
1 Introduction
2 Methods
2.1 Spatiotemporal Attention Multi-input-multi-output Prediction Network
2.2 Spatiotemporal Attention Module
3 Experiment
4 Conclusion
References
Large-Scale Information Dissemination Algorithm Based on Random Mapping
1 Introduction
2 A Large-Scale Information Publish-Subscribe Workflow Model Directed Toward Distribution Efficiency
2.1 Publish-Subscribe Pattern
2.2 Large-Scale Information Subscription and Publication Process
2.3 Large-Scale Information Subscription and Publication Model
3 The Evaluation Index System for Distribution Efficiency
3.1 Construction of the Evaluation Index System for Distribution Efficiency
3.2 Establishment of Evaluation Index System
3.3 Consistency Assessment
4 Large-Scale Information Dissemination Algorithm Based on Random Mapping
4.1 Principles of Algorithm Design
4.2 Algorithm Workflow
4.3 Experimental Results and Analysis
5 Conclusion
References
Smoke Detection in Complex Scenery Using Improved Faster-RCNN
1 Introduction
2 Methods and Improvements
3 Experimental
3.1 Dataset
3.2 Evaluation Metrics
3.3 Experimental Results Analysis
4 Conclusion
References
CoT-Enhanced CNN-ViT Fusion with Adaptive Token Learning for Precise Facial Expression Recognition
1 Introduction
2 Relate Work
2.1 Convolutional Neural Network on FER
2.2 Transformer Method on FER
3 The Proposed Method
3.1 Framework of CoT_FER
3.2 CoT Module Injection
3.3 Adaptive Token Learning
4 Experiments and Comparison
4.1 FER Datasets
4.2 Experiment Setup
4.3 Ablation Study
4.4 Comparison Study
5 Conclusion
References
Evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device
1 Introduction
2 Materials and Methods
2.1 Subjects of Study
2.2 Equipment and Performance Test
2.3 Performance Test and Gait Parameters
2.4 Feature Selection and Model
3 Result
3.1 Feature Selection Results
3.2 Training Results
4 Conclusions
References
Ship Image Segmentation Based on Multi-dimensional Information and Feature Fusion
1 Introduction
2 Related Work
2.1 Semantic Segmentation
2.2 Feature Fusion
3 Method
3.1 Dataset Preprocessing
3.2 Network Structure
4 Performance Evaluation
4.1 Experimental Dataset
4.2 Experimental Setting
4.3 Experimental Results
5 Conclusions
References
Real-Time 6-DoF Object Pose Estimation Network Based on 2D-3D Coordinate Correspondence
1 Introduction
2 The Related Work
3 Method
4 2D-3D Coordinate Correspondence Regression
4.1 Scale-Invariant Translation Estimation
4.2 Network Architecture
5 Experiments
5.1 Dataset
5.2 Training Strategy
5.3 Evaluation Metrics
5.4 Comparison with State-of-the-Art Methods
5.5 Ablation Study
6 Conclusions
References
Traffic Light Detection Based on Deep Learning
1 Introduction
2 Convolutional Neural Network
2.1 A Subsection Sample
3 Traffic Signal Recognition Method Based on YOLOv5s
3.1 The YOLOv5s Network Architecture
3.2 The Core Fundamentals of YOLOv5s
4 YOLOv5s Analysis of Experimental Results
4.1 Experimental Evaluation Metrics
4.2 Experimental Results
5 Summary
References
Big Data Algorithm and Robot Modeling
Robot Navigation Based on Reinforcement Learning: An Overview
1 Introduction
2 RL-Based Navigation
2.1 Indoor Navigation
2.2 Navigation in Dynamic Environments
2.3 Multi-robot Navigation
3 Current Challenge and Solution
4 Conclusion
References
Active Control Technology of Supply Chain Intelligent Work Robot Based on Speech Enhancement Technology
1 Introduction
2 Active Control Method for Intelligent Operation Robot in Supply Chain
2.1 Preprocessing Supply Chain Intelligent Operation Robot Voice Signals
2.2 Extracting Speech Signal Features of Smart Operation Robots in the Supply Chain
2.3 Realize Active Control of Intelligent Operation Robots in the Supply Chain
3 Experiments and Analysis
3.1 Experimental Environment Settings
3.2 Accuracy of Active Control for Smart Work Robots in the Supply Chain
3.3 Active Control of Time for Smart Operation Robots in the Supply Chain
4 Conclusion
References
Research on Security Technology of Power Dispatching Data Network Based on Deep Learning
1 Introduction
2 Methods
2.1 Overall Structure Design of Automatic Backup System for Power Dispatching Data
2.2 Power System Operation Module Based on Deep Learning
2.3 Scheduling Data Backup Strategy
3 Experimental Analysis
3.1 Backup Stability Test
3.2 Backup Performance Test
4 Conclusion
References
An Improved RRT Path Planning Method Incorporating Deep Reinforcement Learning for Space Multi-arm Robot
1 Introduction
2 Basic Algorithm Principles
2.1 Traditional RRT Algorithm
2.2 DDPG Algorithm
3 DDPG-RRT Algorithm
3.1 Dynamic Step Size
3.2 Path Optimization
3.3 DDPG-RRT Algorithm Flow Description
4 Simulation
4.1 Simulation Parameter Setting
4.2 Simulation Results
5 Conclusion
References
A Classification Denoising Algorithm Based on 3D Point Cloud Curvature
1 Introduction
2 3D Point Cloud Classification
3 Smoothing Denoising of 3D Point Cloud Data
3.1 Point Cloud Denoising of Smooth Areas
3.2 Point Cloud Denoising of Sharp Areas
4 Experimental Preparation and Analysis of Results
4.1 Experimental Preparation
4.2 Analysis of Experimental Results
5 Conclusion
References
Comparative Analysis of the Effect of KPCA in PSO-GRU Combination Model
1 Introduction
2 Model Principles
2.1 Kernel Principal Component Analysis (KPCA)
2.2 Particle Swarm Optimization (PSO)
2.3 Gated Recurrent Unit (GRU)
2.4 KPCA and PSO Optimized GRU Model Construction
3 Example Analysis
4 Conclusion
References
Comparison and Hyperparameter Analysis of Four Reinforcement Learning Algorithms in the Lunar Lander Environment
1 Introduction
2 Method
2.1 DQN
2.2 DDQN
2.3 PG
2.4 A2c
3 Result
3.1 Training Rewards
3.2 Hyperparameter Research
4 Conclusion
References
Active Learning Based on Prototype Vector Feature Adaptive Fusion
1 Introduction
2 Related Work
3 Our Proposed Method
3.1 Constructing a Prototype Vector Matrix
3.2 Feature Fusion Based on the Prototype Vector Matrix
4 Experimental Analysis
4.1 Image Classification Experiments and Results Analysis
4.2 Sample Selection Experiments and Result Analysis
5 Conclusion
References
Dual Neural Network Approach for Dual-Energy Imaging and Material Decomposition
1 Introduction
2 Methods
2.1 Material Decomposition for Mapping-Based Dual-Energy CT
2.2 Network Details
3 Experiments
4 Results
4.1 DECT Imaging
4.2 Basis Material Decomposition
5 Conclusions
References
Fixed-Time Control for Cooperative Target Encirclement and Tracking by Multi-UAV
1 Introduction
2 Preliminaries
2.1 Technical Lemma
2.2 UAV Kinematic Model
3 Main Result
3.1 Fixed-Time Guidance Law Design
4 Simulation
5 Conclusion
References
Motion Performance Analysis and Application of Quadruped Robot for Safety Production Supervision
1 Introduction
2 Structural Design of Safety Production Supervision Robot for Foot-Style Substation
3 Kinematic Analysis
3.1 Establishment of the D-H Coordinate System
3.2 Forward Kinematics Solution
3.3 Inverse Kinematics Solution
4 Virtual Prototype and Simulation Analysis
4.1 Virtual Prototype
4.2 Simulation Analysis
5 Physical Prototype and Its Applications
6 Conclusion
References
Cross-Modal Active Speaker Detection Algorithm in Video and End-To-End Landing Solution
1 Introduction
2 Related Work
3 Method
3.1 Architecture
3.2 End-To-End Landing Solution
4 Experiments
4.1 Benchmark
4.2 Implementation Details
4.3 Results
5 Conclusion
References
Simulation of Inter-Satellite Terahertz Communication Channel Based on Parallel Ray Tracing Algorithm
1 Introduction
2 Scattering Model of Satellite Surface Cladding Materials
2.1 Surface Roughness Criterion
2.2 Rough Surface Characterization Parameters
2.3 Rough Surface Modeling Based on Monte Carlo Method
3 Channel Modeling Based on Parallel Ray Tracing Algorithm
3.1 Channel Modeling
3.2 Parallel Optimization of Ray Tracing Algorithm
4 Design of Inter-Satellite Communication Link
4.1 Design of the Link
4.2 Satellite Model
5 Simulation Results
6 Conclusion
References
Optimization of Milling Robot Trajectory Based on Whale Optimization Algorithm
1 Introduction
2 Objective Function Construction
3 Improved Whale Optimization Algorithm
4 Experimental Analysis
5 Conclusion
References
Research on Chinese Word Segmentation Algorithm in the Tobacco Field Based on the BERT-BiLSTM-CRF Model
1 Introduction
2 Related Work
2.1 Construction of Annotated Tobacco Text Corpus
2.2 Construction of Tobacco Field Dictionary
2.3 Word Position Annotation
3 The Overall Framework of the Model
3.1 The BERT Model
3.2 The BiLSTM Model
3.3 The CRF Model
4 Experiment
4.1 Experimental Data and Evaluation Indicators
4.2 Experimental Environment and Parameters
4.3 Experimental Results and Analysis
5 Conclusion
References
A MPGNN-Based Unsupervised Learning Framework for Power Control in D2D Networks
1 Introduction
2 System Model
3 A Scalable Power Control Policy for MPGNN-Based Unsupervised Learning Framework
3.1 Graph Model
3.2 Our Algorithm Based on MPGNN Frameworks
4 Numerical Evaluation
4.1 Simulation Settings
4.2 Algorithm Performance Comparison
5 Conclusions
References

Systemvoraussetzungen

Als PDF speichern Als Link merken