Concurrent programs have brought about higher resource utilization and faster response times. However, the non-determinism in concurrent programs introduces concurrency bugs that are harder to detect than traditional ...
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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., 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.
Aiming at the high reliability design problem of electromagnetic launch control system, this paper proposes a control system design method based on ARM and FPGA architecture. The overall structure of the control syste...
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Today's mainstream vehicles are partially automated via an advanced driver assistance system (ADAS) including Adaptive Cruise control (ACC). ACC uses on-board remote sensor target detection and tracking to automat...
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In order to analyze the comprehensive risks of natural disasters quantitatively and improve the accuracy of natural disaster management and control, this paper expands the F indicator, Forecast, which is about real-ti...
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An electromagnetic processes analysis in a boost zero-current-switching quasi-resonant converter is performed by dint of the generalized method of commutation processes calculation which resulting in a set of analytic...
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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)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
Small and medium-sized enterprises (SMEs) have become an important part of China's national economy. However, due to comprehensive limitations on scale, capital, and technology, it is more difficult for SMEs to su...
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Aiming at the problem of poor fault detection in complex industrial processes, this paper proposes a fault detection method based on improved Euclidean distance control. First, the data is standardized and the Euclide...
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ISBN:
(纸本)9781665409841
Aiming at the problem of poor fault detection in complex industrial processes, this paper proposes a fault detection method based on improved Euclidean distance control. First, the data is standardized and the Euclidean distance is obtained;Secondly, the distance value with a larger data contribution rate is determined by the idea of exponential contribution;Thirdly, a parameter adaptive strategy is proposed to set the threshold of Euclidean distance statistics;Finally, fault detection is carried out on the statistical data, and the size of false negative rate and false alarm rate is calculated. In the fourth part of this paper, we use the fault detection method based on improved Euclidean distance control to detect the fault of the Eastman process in Tennessee. The simulation results show that the method proposed in this paper has more advantages than the traditional principal component analysis method, and can be effectively applied to complex industrial processes.
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
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