The proceedings contain 202 papers. The special focus in this conference is on Chinese Intelligent Systems. The topics include: modeling of Interval Type-2 Fuzzy Logic System by Semi-tensor Product;Robust Ad...
ISBN:
(纸本)9789819786534
The proceedings contain 202 papers. The special focus in this conference is on Chinese Intelligent Systems. The topics include: modeling of Interval Type-2 Fuzzy Logic System by Semi-tensor Product;Robust Adaptive control of Missiles Based on Fuzzy RBF Neural Network;deep Reinforcement Learning of Physically Simulated Character control;the Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius;Visual Inertial 3D Reconstruction System Based on KLT Optical Flow and Voxel Hash;analysis of Students’ Class Status Based on Deep Learning;fault-Tolerant Attitude control of Hypersonic Flight Vehicles Based on Extended Adaptive Iterative Learning;predefined-Time control of Robot Systems with Prescribed Performance Guarantees;dynamic Coverage of Unicycle Robots with Anisotropic Sensing for Time-Priority;method for Evaluating the Multi-factor Decision-Making Efficiency Based on Dynamic Bayesian Network;submarine Cable Target Search Based on Improved Biological Neural Network;end-to-End mmWave-Based Human Pose Estimation from Raw Signal;urban Sewage Treatment Plant Simulation System Based on Industrial Internet;Load Matching Design and Multi-objective Optimization of Helicopter EHA;Testability Design and Verification of Typical Functional Links of CNI System;adaptive Sliding Mode Tracking control for Multiple High-Speed Trains with Actuator Saturation and Parameter Uncertainties;Abnormal data Detection Based on Dual-Factor Weighted SVDD for Multimode Batch processes;dual-Branch Attention Dense Residual Network Based on Negative Image for Image Denoising;Research on Testability Work Planning Technology for Aviation Equipment Based on DoDAF;aero Engine Instability Prediction and Detection Method Based on Gated Recurrent Neural Networks;Seven-Degrees-of-Freedom Robotic Arm Path Planning Based on Improved RRT;dynamic Event-Triggered Based Coherent Formation control for Multi-robot Systems;adaptive Prescribed Time Prescribed Performance control for High-Order No
—With the introduction of a high proportion of new energy, the security and stability of the power system face enormous challenges. Against the backdrop of insufficient traditional flexible regulation resources, it i...
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In this study, we leverage the interdisciplinary strengths of Computer Science, AI, ML, and data Mining to address the pressing environmental issue of river pollution, with a focus on the Yamuna River's deteriorat...
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This paper considers competitive interaction between two innovative processes, which is described using the 'predator-prey' paradigm. The dynamic model of the economic system is presented as a system of two di...
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In this paper, a localization solution for railway and tramway vehicles, relying on low-cost on-board sensor technology and on a Kalman-based data fusion scheme, is tested against failures in GPS measurement acquisiti...
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ISBN:
(数字)9783907144077
ISBN:
(纸本)9783907144077
In this paper, a localization solution for railway and tramway vehicles, relying on low-cost on-board sensor technology and on a Kalman-based data fusion scheme, is tested against failures in GPS measurement acquisition. Such failures can be caused by either non-favorable operating conditions (e.g, the presence of tunnels), or intentional/accidental service disruptions. Our analysis, carried out through simulation of a three-dimensional multi-body vehicle, highlights failure conditions under which the localization solution is shown to be resilient with respect to an acceptable performance level, as well as situations that the original framework is not able to cope with. In the latter case, a variant solution, still based on low-cost on-board technology, is shown to be able to recover satisfactory performance.
The diversity and advance of information, communication, and analytical technologies and their increasing adoption to assist instruction and learning give rise to various technology-driven conferences (e.g., artificia...
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The diversity and advance of information, communication, and analytical technologies and their increasing adoption to assist instruction and learning give rise to various technology-driven conferences (e.g., artificial intelligence in education) in educational technology. Previous reviews on educational technology commonly focused on journal articles while seldom including mainstream conference papers which also contribute to an important part of scientific output in computer science and emerging disciplines like educational technology and are equally and even more important than articles in knowledge transmission. Hence, conference papers should also be included in bibliometric studies to produce a complete and precise picture of scientific production concerning educational technology. This study, therefore, uses bibliometrics and topic modeling to analyze papers from mainstream conferences, including Artificial Intelligence in Education, Learning Analytics and Knowledge, Educational data Mining, Intelligent Tutoring System, and Learning at Scale, focusing on contributors, collaborations, and particularly research topics and topic evolutions to inform relevant stakeholders about educational technology's development and its future. Results indicate promising areas like affective computing and behavior mining for adaptive instruction, recommender systems in personalized learning recommendations, eye-tracking for cognitive process diagnosis, videos for feedback provision, and natural language processing in discourse analysis and language education.
The proceedings contain 44 papers. The special focus in this conference is on Network Security and Blockchain Technology. The topics include: Secure data Communication Through Improved Multi-level Pixel Value Ordering...
ISBN:
(纸本)9789819944323
The proceedings contain 44 papers. The special focus in this conference is on Network Security and Blockchain Technology. The topics include: Secure data Communication Through Improved Multi-level Pixel Value Ordering Using Center-Folding Strategy;Perseverance of the Audio data using RNN Implied Matrix Segmentation based Lossless Encoder;SVD-Based Watermarking Scheme for Medical Image Authentication;watermark-Based Image Authentication with Coefficient Value Differencing and Histogram Shifting;IEMS3: An Image Encryption Scheme Using Modified SNOW 3G Algorithm;detection of Deepfakes in Financial Transactions Using Algorand Blockchain Consensus Mechanism;Effective Ransomware Detection Method Using PE Header and YARA Rules;applied S P Integration Procedure for Enhanced Haphazardly Misplaced Values in data Mining for database Protection;DDoS Attack, a Threat to IoT Devices in the High-Speed Networks—An Overview;dual Image-Based Watermarking Scheme Using Interpolation;Machine Learning-Based Phishing E-mail Detection Using Persuasion Principle and NLP Techniques;Congestion control Enhancement in TCP;classification of Bruteforce Attacks Using Convolution Neural Network;Selective Text Encryption Using RSA for E-governance Applications for Pdf Document;Malware analysis Based on Malicious Web URLs;asymptotic Diffusion analysis of a Queueing System MX/G/1 with Collisions and Unreliable Servers in the process of Communication;the Development of a Tool for the Detection of Cotton Wool Spots, Haemorrhage, and Exudates Using Multi-resolution analysis;enhancement of data Security for Cloud Computing with Cryptography Techniques;a Novel Approach of Network Security Using Genetic Algorithm;mathematical Model for Improving Cloud Load Balancing Using Scheduling Algorithms;Securing Farm Insurance Using a Private-Permissioned Blockchain Driven by Hyperledger Fabric and IPFS;cryptanalysis and Improvement of a Mutual Authentication Scheme for Smart Grid Communications.
China's total fruit planting area and output have always been in the forefront of the world. Fruit has become the largest planting industry. Therefore, in order to reduce economic losses and environmental pollutio...
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The proceedings contain 202 papers. The special focus in this conference is on Chinese Intelligent Systems. The topics include: modeling of Interval Type-2 Fuzzy Logic System by Semi-tensor Product;Robust Ad...
ISBN:
(纸本)9789819786497
The proceedings contain 202 papers. The special focus in this conference is on Chinese Intelligent Systems. The topics include: modeling of Interval Type-2 Fuzzy Logic System by Semi-tensor Product;Robust Adaptive control of Missiles Based on Fuzzy RBF Neural Network;deep Reinforcement Learning of Physically Simulated Character control;the Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius;Visual Inertial 3D Reconstruction System Based on KLT Optical Flow and Voxel Hash;analysis of Students’ Class Status Based on Deep Learning;fault-Tolerant Attitude control of Hypersonic Flight Vehicles Based on Extended Adaptive Iterative Learning;predefined-Time control of Robot Systems with Prescribed Performance Guarantees;dynamic Coverage of Unicycle Robots with Anisotropic Sensing for Time-Priority;method for Evaluating the Multi-factor Decision-Making Efficiency Based on Dynamic Bayesian Network;submarine Cable Target Search Based on Improved Biological Neural Network;end-to-End mmWave-Based Human Pose Estimation from Raw Signal;urban Sewage Treatment Plant Simulation System Based on Industrial Internet;Load Matching Design and Multi-objective Optimization of Helicopter EHA;Testability Design and Verification of Typical Functional Links of CNI System;adaptive Sliding Mode Tracking control for Multiple High-Speed Trains with Actuator Saturation and Parameter Uncertainties;Abnormal data Detection Based on Dual-Factor Weighted SVDD for Multimode Batch processes;dual-Branch Attention Dense Residual Network Based on Negative Image for Image Denoising;Research on Testability Work Planning Technology for Aviation Equipment Based on DoDAF;aero Engine Instability Prediction and Detection Method Based on Gated Recurrent Neural Networks;Seven-Degrees-of-Freedom Robotic Arm Path Planning Based on Improved RRT;dynamic Event-Triggered Based Coherent Formation control for Multi-robot Systems;adaptive Prescribed Time Prescribed Performance control for High-Order No
With the increasing reach of Industry 4.0, the Internet of Things (IoT) and Artificial Intelligence (AI) and many other technologies, have emerged as pivotal components in the era of information technology. Recent pro...
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ISBN:
(纸本)9798350351491;9798350351484
With the increasing reach of Industry 4.0, the Internet of Things (IoT) and Artificial Intelligence (AI) and many other technologies, have emerged as pivotal components in the era of information technology. Recent progress in AI, and its sub-field machine learning (ML), have influenced numerous research domains inside the industry, achieving improvements that were not possible with conventional optimization techniques, notably illustrated in the case of predictive maintenance. A significant component of predictive maintenance is fault detection. The goal of predictive maintenance is to avoid future machine failure and consequent downtime by anticipating faults in machinery. As a result, the aim of this research is to employ ML models for fault identification process. A concrete dataset was employed with real sensors' outputs allowing to make analysis of faults in machines mounted with various types of sensors. Four distinct supervised ML algorithms were applied in our work in which their hyper-parameters were tuned with both Grid Search and Random Search methods. A comparative study between the algorithms' performances was made in order to select the best one with highest metrics percentages. A web-based application was also developed, to monitor data and send alerts when detecting anomalies either via SMS, email or inside the provided web interface.
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