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7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Li, Zhijun Jiao, Yuhang Xu, Jining Zhang, Xiaoping School of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (纸本)9798350350760

—Bayesian Knowledge Tracing (BKT) model is a student knowledge state model that currently widely used in intelligent teaching system. However, BKT still has limitations in capturing dynamic changes during the student learning process and handling multiple characteristics as well as individualized needs. To address the above problems, this paper proposes an adaptive BKT model based on students' personalized features. The core of the model lies in constructing a feature set based on students' previous personalized question-answering data, and dynamically classifying students' current learning situation accordingly. The dynamic classification method classifies students by analyzing their question-answering performance in real time and adjusts the BKT parameters accordingly to more accurately reflect their current knowledge status. On this basis, it predicts students' future learning status and question-answering performance. Comparative experiments show that the model can better adapt to individual learning differences and significantly improve the accuracy of predicting students' future question-answering correctness. ©2024 ieee.

关键词： Question answering

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2D Posture Estimation of Human Arm 9

2D Posture Estimation of Human Arm

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9th International conference on Mathematics and computers in Sciences and Industry, MCSI 2024

作者： Rosca, Sebastian Daniel Leba, Monica Sibisanu, Remus University of Petrosani Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9798350377224

Human pose estimation and automatic detection is a common task in Human-computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the whole human body posture estimation using anatomical human joints detection as inputs for specialized algorithms to calculate it based on key points obtained from a person Kinematic tree using regression, generation or part relation as models to estimate the optimal position from video or even from image. In this paper we propose a solution to estimate of 2D human arm posture of a subject using image capture as input for advanced machine learning algorithms to determine the subject joints position used to control in biomimetic manner a simulation of human like robotic arm with six degrees of freedom as a computer-aided model in Matlab-Simulink based on forward kinematics. © 2024 ieee.

关键词： MATLAB

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design and Implementation of Real time Alarm Display for Online Analysis Based on Page Editor 8

Design and Implementation of Real time Alarm Display for Onl...

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8th International conference on Electrical, Mechanical and computer Engineering, ICEMCE 2024

作者： Huang, Kun Zhang, Xueyong Dong, Yulong Chen, Yueyan Hou, Meifang Zou, Qing Zhang, Li Han, Xiao Nanjing Nari Group Co. Ltd. Nari Nanjing Control System Co. Ltd. Nanjing China

ISBN: (纸本)9798331506230

With the continuous development of technology, the future prospects of online analysis real-time alarm systems are vast. In today's digital age, the application of page editors is becoming increasingly widespread. This article analyzes the characteristics of online real-time alarm scenarios and proposes an implementation strategy for online analysis real-time alarm display based on page editors. It utilizes a page editor to design and implement a complete real-time alarm display system, which fully implements the business logic of online analysis of real-time alarm display, verifies the feasibility of the technology developed based on the page editor, and provides valuable reference solutions for the construction of power grid operation systems. © 2024 ieee.

关键词： Alarm systems

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Analysis and research on a flexible detection technology of NC machine tool workpiece 7

Analysis and research on a flexible detection technology of ...

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7th ieee International conference on Information systems and computer aided Education, ICISCAE 2024

作者： Zhiqiang, Wan Hong, Patrick Teo Hiu Fong, Go Tze Anhui Technical College of Mechanical and Electrical Engineering Anhui Wuhu241000 China Centre for Advanced Engineering Design Faculty of Engineering Built Environment and IT SEGi University Jalan Teknologi Kota Damansara Selangor Petaling Jaya47810 Malaysia

ISBN: (纸本)9798350350760

The utility model relates to a flexible detection technology for NC machine tool workpieces, which comprises a detection device main body, a material guide sorting table and a support seat. The detection device main body is installed on the support seat, the material guide sorting table is installed at the material guide outlet of the detection device main body. A monitor is arranged on the top of the material guide outlet, the monitor is electrically connected with the detection equipment in the detection device main body. And the information of unqualified products is fed back to the material guide sorting table under the detection of the monitor. Under the sorting action of the material guide sorting table, the unqualified workpiece is separated from the qualified workpiece. The main body of the detection device transmits the signal of the detected unqualified product to the monitor, and the position of the unqualified product is mastered through the monitor. The unqualified product is monitored in real time by the monitor, and the monitor transmits the signal of the unqualified product below to the diversion table. Through the hinged platform in the diversion platform, the diversion of unqualified products and qualified products is realized, so as to automatically check the product quality. ©2024 ieee.

关键词： Numerical control systems

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Sampled-data control for nonlinear systems with mismatched disturbances via a non-recursive design framework 36

Sampled-data control for nonlinear systems with mismatched d...

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36th Chinese control and Decision conference (CCDC)

作者： Zhao, Jinyang Zhang, Chuanlin Shanghai Univ Elect Power Coll Automat Engn Shanghai 200090 Peoples R China

ISBN: (纸本)9798350387780;9798350387797

In this paper, a sampled-data state feedback controller based on a non-recursive design framework is proposed for a class of nonlinear lower triangular systems with mismatched disturbances. Firstly, the continuous-time observer is discretized by the Euler method, and the continuous-time controller is discretized by the zero-order holding method. Then, by constructing a reasonable Lyapunov function and applying Gronwall-Bellman inequality, it has been rigorously demonstrated that the global bounded stability of the closed-loop system can be guaranteed by a appropriate selection of sampling period and scaling gain. By employing the non-recursive method, the proposed scheme avoids the problem of " explosion of terms " caused by recursive design procedures. In the meantime, a new discrete-time observer is designed to observe the disturbance of the sampling points given the adverse effects of the mismatched disturbances. Since both the observer and the controller are discrete in form, they are easy to implement on a digital computer. The efficacy of the proposed control scheme is validated through numerical simulations.

关键词： mismatched disturbances non-recursive control method discrete-time observer sampled-data control nonlinear system

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Joint Secure Beamforming design Based on Deep Reinforcement Learning 4

Joint Secure Beamforming Design Based on Deep Reinforcement ...

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4th International conference on computer Science, Electronic Information Engineering and Intelligent control Technology, CEI 2024

作者： Wang, Peng Qiu, Qianwei Guangdong University of Technology Guangzhou China

ISBN: (纸本)9798350378542

Reconfigurable Intelligent Surface (RIS) has become a key technology that play a vital role in communication or radar systems. Consider a multiple-input single-output (MISO) downlink system assisted by RIS with a legitimate user and eavesdropper, we propose a learning algorithm to maximize the system secrecy rate by joint design the transmit beamforming and the phase shift matrix. First, a secrecy rate maximization problem of this secure communication system is formulated, subject to a power budget constraint and the unit-modulus phase shift constraints. Then, we develop a learning algorithm based on deep reinforcement learning (DRL) to address the non-convex optimization problem, rather than utilizing the alternating optimization (AO) techniques (which alternatively search the locally optimal solution) in literature. Simulation result confirm that the proposed DRL-based method can deliver an even higher secrecy rate, while also maintaining an acceptable speed of convergence. © 2024 ieee.

关键词： Deep reinforcement learning

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design and control of a Novel Coaxial Tilt-Rotor UAV

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ieee TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2022年第4期69卷 3810-3821页

作者： Lv, Zong-Yang Wu, Yuhu Zhao, Qing Sun, Xi-Ming Dalian Univ Technol Key Lab Intelligent Control & Optimizat Ind Equip Minist Educ Dalian 116024 Peoples R China Dalian Univ Technol Sch Control Sci & Engn Dalian 116024 Peoples R China Univ Alberta Dept Elect & Comp Engn Edmonton AB T6G 1H9 Canada

In this article, the design and control of a new coaxial tilt-rotor unmanned aerial vehicle (CTRUAV) are presented. The CTRUAV is an electric-powered unmanned aerial vehicle with a special configuration, which is composed of two pairs of tiltable coaxial rotors and a rear rotor. A CTRUAV prototype has been designed by 3-D computer-aided design software and constructed according to the designing scheme. The dynamic model of a CTRUAV is derived by utilizing the Euler-Lagrange equation, which considers the special features of the coaxial rotors and air drag forces on the CTRUAV. An adaptive controller is developed to realize motion control for the CTRUAV. The adaptive controller includes two subcontrollers: an inner-loop attitude controller and an outer-loop velocity controller. The stability of the resulting closed-loop CTRUAV system is analyzed via the Lyapunov method. Finally, several simulations and real experimental tests are implemented to validate the effectiveness of the developed CTRUAV system.

关键词： Rotors Unmanned aerial vehicles Prototypes Drag Force Aerodynamics Adaptation models Adaptive control asymptotic stability coaxial tilt-rotor (CTR) unmanned aerial vehicle (UAV)

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design and Realization of Modular Standard Module for Orderly Charging 2

Design and Realization of Modular Standard Module for Orderl...

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2nd ieee International conference on control, Electronics and computer Technology, ICCECT 2024

作者： Yu, Qingwen Qu, Wanyuan Qi, Xueqing Zhang, Haibo Nan, Yuesong Liu, Lizong Zhejiang University Hangzhou China

ISBN: (纸本)9798350380958

With the popularity of new energy vehicles, the demand for charging facilities is also increasing. However, the unreasonable use of charging facilities and the safety problems in the charging process have become increasingly prominent. In order to solve these problems, this paper proposes a new energy vehicle charging management system based on orderly charging strategy. The system adopts an orderly charging strategy, and realizes the effective management of the charging process of new energy vehicles through intelligent scheduling and management of charging equipment. Specifically, the system uses a variety of sensors and controllers to monitor the working status of charging equipment and the charging demand of new energy vehicles in real time, and formulate the corresponding charging plan according to the monitoring data. At the same time, the system also uses a safety protection mechanism to ensure the safety of the charging process. The experimental results show that the system can effectively improve the charging efficiency, reduce the energy waste in the charging process, and improve the safety of the charging process. © 2024 ieee.

关键词： Electric vehicles

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Research on Smart Photovoltaic Power Station control system Based on DCS Architecture

Research on Smart Photovoltaic Power Station Control System ...

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2024 International conference on computer Communication, Networks and Information Science, CCNIS 2024

作者： Zhan, Lei Chn Energy Zhishen Control Technology Co. Ltd. Beijing Engineering Research Center of Power Station Automation State R&D Center of Control System and Information Security Technologies for Energy Industry Beijing102211 China

ISBN: (纸本)9798331507046

Aiming at the operation and maintenance management and control issues of large-scale photovoltaic power stations, a smart photovoltaic power station control system based on DCS architecture was studied. In terms of system architecture design, the design idea based on the 'cloud-edge-end' architecture is adopted, and some core equipment and data storage devices in the site are placed in the cloud to achieve centralized management and storage of data. At the same time, some computationally intensive tasks are processed in the cloud to reduce the computing pressure on edge devices. Applying this system to the control of photovoltaic power plants can achieve precise control of operation and maintenance data, and enable the identification and accurate processing of different faults. Comparing the fault identification algorithm used in this system with other algorithms, the results prove that the fault identification accuracy of this algorithm can reach 100℅, creating a large amount of economic benefits for the stable operation of photovoltaic power plants. © 2024 ieee.

关键词： Ferroelectric RAM

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A Simulation-aided Approach to Safety Analysis of Learning-Enabled Components in Automated Driving systems 26

A Simulation-Aided Approach to Safety Analysis of Learning-E...

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ieee 26th International conference on Intelligent Transportation systems (ITSC)

作者： Su, Peng Warg, Fredrik Chen, DeJiu KTH Royal Inst Technol Fac Engn Design Dept Stockholm Sweden RISE Res Inst Sweden Fac Dependable Transport Syst Dept Boras Sweden

ISBN: (纸本)9798350399462

Artificial Intelligence (AI) techniques through Learning-Enabled Components (LEC) are widely employed in Automated Driving systems (ADS) to support operation perception and other driving tasks relating to planning and control. Therefore, the risk management plays a critical role in assuring the operational safety of ADS. However, the probabilistic and nondeterministic nature of LEC challenges the safety analysis. Especially, the impacts of their functional faults and incompatible external conditions are often difficult to identify. To address this issue, this article presents a simulation-aided approach as follows: 1) A simulation-aided operational data generation service with the operational parameters extracted from the corresponding system models and specifications;2) A Fault Injection (FI) service aimed at high-dimensional sensor data to evaluate the robustness and residual risks of LEC. 3) A Variational Bayesian (VB) method for encoding the collected operational data and supporting an effective estimation of the likelihood of operational conditions. As a case study, the paper presents the results of one experiment, where the behaviour of an Autonomous Emergency Braking (AEB) system is simulated under various weather conditions based on the CARLA driving simulator. A set of fault types of cameras, including solid occlusion, water drop, salt and pepper, are modelled and injected into the perception module of the AEB system in different weather conditions. The results indicate that our framework enables to identify the critical faults under various operational conditions. To approximate the critical faults in undefined weather, we also propose Variational Autoencoder (VAE) to encode the pixel-level data and estimate the likelihood.

关键词： Risk management

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