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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Ye, Xinyi Du, Xiaoxi Li, Xian Guo, Xinhao Wang, Ruoyan Xue, Chengqi School of Mechanical Engineering Southeast University Nanjing China Jiangsu Automation Research Institute Lianyungang China

ISBN: (纸本)9781713886952

Touch interaction has become one of the most popular techniques of interaction due to its directness and efficiency as touch technology has advanced. As an important component of Human Computer Interaction (HCI), the menus design significantly influences the user experience of touch interactions. Previous studies have mainly focused on mobile touch products such as smartphones, pads, and smartwatches. Due to the limited screen size of these devices, single-layer menu designs are more suitable. Some studies have indicated that users perform better in radial menus. However, in fixed desktop-style personal computer (PC) touch interfaces with larger screen space, most menu designs still rely on the migration of traditional mouse-based interaction, which is not suitable for direct finger-touch operations, undermining the advantages and experience of touch interaction. Therefore, the purpose of this study is to investigate the effects of three second-level menu patterns (circular, vertical, and rectilinear) and three button sizes (10mm, 12mm, and 13mm) on user performance and subjective feelings when first-level menu is fixed as a radial menu on a touch screen. The results show that both the three second-level menu patterns and the three button sizes significantly affect participants' task completion time. Among them, the circular second-level menu requires the least time, and the 13mm button size is the fastest. Additionally, participants subjectively perceive this menu design as fast, accurate, and comfortable. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Touch screens

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Research on NWP wind speed error correction method based on EMD-Bi-LSTM modeling 10

Research on NWP wind speed error correction method based on ...

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10th International Forum on Electrical engineering and automation, IFEEA 2023

作者： Yang, Tong Tang, Minan Li, Hanting Wang, Mingyu Wang, Hongjie Dong, Yu Lanzhou Jiaotong University School of Automation and Electrical Engineering Lanzhou730070 China Lanzhou Institute of Technology College of Electrical Engineering Lanzhou730050 China

ISBN: (纸本)9798350309379

In order to improve the prediction accuracy and computational efficiency of wind speed in large-scale wind farms, and to weaken the influence of numerical weather prediction (NWP) wind speed on the prediction accuracy of wind power. An empirical modal decomposition (EMD), and bi-directional long and short-term memory neural network (Bi-LSTM) combined with double-spanning residual network (DSRnet) improvement are proposed to correct the wind speed error of NWP. Firstly, the wind speed error data with time series characteristics are decomposed into the residuals (RES) and the intrinsic modal function (IMF) containing the same characteristics using EMD;Secondly, the components were predicted using an improved Bi-LSTM model;Finally, the results of the component predictions are used to reconstruct the corrected wind speed data. The results of simulation experiments in Pytorch framework show that the root mean square error and the average relative error of the former are 26.02% and 25.82% lower than those of the latter, respectively. It shows that this model has better prediction accuracy in correcting the error value of NWP wind speed. © 2023 IEEE.

关键词： long and short-term memory neural networks numerical weather forecasting wind power forecasting wind speed error correction

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A Novel Method for Aging Prediction of Railway Catenary Based on Improved Kalman Filter

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Structural Durability & Health Monitoring 2024年第1期18卷 73-90页

作者： Jie Li Rongwen Wang Yongtao Hu Jinjun Li School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang453003China Technology Center Sichuan Injet Electric Co.Ltd.Deyang618000China Embedded System Research Institute Xinxiang Engineering Research Center for Intelligent Condition Monitoring of MachineryXinxiang453003China

The aging prediction of railway catenary is of profound significance for ensuring the regular operation of electrified ***,in real-world scenarios,accurate predictions are challenging due to various *** paper addresses this challenge by proposing a novel method for predicting the aging of railway catenary based on an improved Kalman filter(KF).The proposed method focuses on modifying the priori state estimate covariance and measurement error covariance of the KF to enhance accuracy in complex *** comparing the optimal displacement value with the theoretically calculated value based on the thermal expansion effect of metals,it becomes possible to ascertain the aging status of the *** improve prediction accuracy,a railway catenary aging prediction model is constructed by integrating the Takagi-Sugeno(T-S)fuzzy neural network(FNN)and *** this model,an adaptive training method is introduced,allowing the FNN to use fewer fuzzy *** inputs of the model include time,temperature,and historical displacement,while the output is the predicted ***,the KF is enhanced by modifying its prior state estimate covariance and measurement error *** modifications contribute to more accurate ***,a low-power experimental platform based on FPGA is implemented to verify the effectiveness of the proposed *** test results demonstrate that the proposed method outperforms the compared method,showcasing its superior performance.

关键词： Railway catenary Takagi-Sugeno fuzzy neural network Kalman filter aging prediction

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Event-triggered adaptive output feedback control for hyperbolic PDEs: swapping-based design

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Science China(Information Sciences) 2024年第5期67卷 327-328页

作者： Chunting JI Zhengqiang ZHANG Xue-Jun XIE School of Engineering Qufu Normal University Institute of Automation Qufu Normal University

Partial differential equations(PDEs) characterize transport phenomena and fluid flow, and common cases include heat exchangers and road traffic [1]. Recently, scholars have become enthusiastic about event-triggered control(ETC) of hyperbolic PDEs, primarily because it can help conserve computing and communication resources. For example,Ref. [2] presented an output feedback ETC scheme for 2 × 2hyperbolic PDEs.

关键词： hyperbolic design control pdes adaptive event-triggered feedback output swapping-based

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Optimization Control of Power Supply for Ion Propulsion System in Multi-operating Points Mode 4th

Optimization Control of Power Supply for Ion Propulsion Syst...

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4th International Symposium on Plasma and Energy Convention, ISPEC 2022

作者： Jiang, Yuan Zhu, Liying Lei, Zhan Du, Hong Yang, Dong School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Beijing Institute of Spacecraft System Engineering Beijing100194 China

ISBN: (纸本)9789819915750

Space probe is one of the important areas for commercial space industry. In order to make the ion propulsion system have good control performance under the regulation of wide voltage and wide power, a nonlinear controller with adjustable multi-operating points is designed based on the synergetic approach to control (SAC) theory. The duty cycle of DC/DC converter can be calculated by combining the state space equation of DC/DC converter and the evolution law of manifold. In order to ensure that the overshoot of inductor current is small and the response speed is fast when the operating point is switched, according to the convergence characteristics of manifold, the adaptive control parameter is designed based on capacitor voltage error. According to the simulation results, the steady-state error of bus voltage under SAC control is 3.3%, which is less than 6% of PI control. For the transient process of switching, the overshoot of capacitor voltage and inductor current under PI control are close to 30%, much larger than that under SAC control, and the duty cycle under PI control also shows a large oscillation. SAC control has advantages over PI control in terms of steady-state performance, dynamic performance and duty cycle control. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ions

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Simulation Research on Space Charge of High Voltage XLPE Cable under Different Working Conditions

Simulation Research on Space Charge of High Voltage XLPE Cab...

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2022 IEEE Conference on Telecommunications, Optics and Computer Science, TOCS 2022

作者： Sun, Yule Qiu, Guolong Yang, Zehong Fuzhou University College of Electrical Engineering and Automation Fujian350108 China East China Jiaotong University School of Electrical Engineering and Automation Nanchang330000 China Wuhan University School of Electrical Engineering and Automation Hubei430000 China

ISBN: (纸本)9781665470537

DC XLPE cables have many advantages and are widely used in power transmission. The problem of space charge accumulation in DC cables has become the focus of attention. There is a lack of research on the charge distribution in XLPE under different working conditions. In this paper, the space charge distribution in the XLPE under aging, temperature gradient, and the presence of bubble defects is studied and simulated in COMSOL software based on the ambipolar carrier transport model. The research results show that the average charge density increases by 2.2% and 6.23% after electro-thermal aging for ten days and 30 days, which is close to the test results in the literature. When there is a temperature gradient in XLPE, the charge density on the side with higher temperature is more significant than that on the side with lower temperature, and the higher the temperature, the greater the mobility, resulting in deeper charge injection depth. When there is a bubble defect, a "recessed area"of charges is formed in the bubble, the charge density in the bubble is lower than that of the surrounding XLPE, and the charge accumulation at the interface between the bubble and XLPE is evident. The research results will provide a specific basis for the safe operation of DC XLPE cables. © 2022 IEEE.

关键词： Electric space charge

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Rolling Decision Model of Thermal Power Retrofit and Generation Expansion Planning Considering Carbon Emissions and Power Balance Risk

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Energy engineering 2024年第5期121卷 1309-1328页

作者： Dong Pan Xu Gui Jiayin Xu Yuming Shen Haoran Xu Yinghao Ma Economic and Technology Research Institute State Grid Anhui Electric Power Co.Ltd.Hefei230022China School of Electrical and Automation Engineering Hefei University of TechnologyHefei230009China

With the increasing urgency of the carbon emission reduction task,the generation expansion planning process needs to add carbon emission risk constraints,in addition to considering the level of power ***,methods for quantifying and assessing carbon emissions and operational risks are *** results in excessive carbon emissions and frequent load-shedding on some days,although meeting annual carbon emission reduction ***,in response to the above problems,carbon emission and power balance risk assessment indicators and assessment methods,were proposed to quantify electricity abundance and carbon emission risk level of power planning scenarios,considering power supply regulation and renewable energy fluctuation ***,building on traditional two-tier models for low-carbon power planning,including investment decisions and operational simulations,considering carbon emissions and power balance risks in lower-tier operational simulations,a two-tier rolling model for thermal power retrofit and generation expansion planning was *** model includes an investment tier and operation assessment tier and makes year-by-year decisions on the number of thermal power units to be retrofitted and the type and capacity of units to be ***,the rationality and validity of the model were verified through an example analysis,a small-scale power supply system in a certain region is taken as an *** model can significantly reduce the number of days of carbon emissions risk and ensure that the power balance risk is within the safe limit.

关键词： Carbon emission risk power balance risk thermal power retrofit generation expansion planning

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DS-SGAN: Driving Style-Guided Spatial-Graph Attention Network for Trajectory Prediction of Vehicle 4

DS-SGAN: Driving Style-Guided Spatial-Graph Attention Networ...

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4th International Conference on Industrial automation, Robotics and Control engineering, IARCE 2024

作者： Fang, Yanyan Wang, Yani Zeng, Xianlin Fang, Hao Dou, Lihua School of Automation Beijing Institute of Technology Beijing China Beijing Institute of Astronautical Systems Engineering Beijing China School of Automation Beijing Institute of Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing China

ISBN: (纸本)9798350380323

Vehicle trajectory prediction is a crucial and challenging task, especially in complex traffic scenarios involving multiple vehicle interactions, due to the complexity of the road environment and the variety of driving styles exhibited by different drivers. Prediction models ignoring influences of surrounding vehicles/roads and driving styles may produce unrealistic results and have low prediction accuracy. To address this issue, this paper introduces a novel driving style-guided trajectory prediction method based on a generative adversarial network. The generator utilizes LSTM and graph neural networks to encode relevant information about the target vehicle and the surrounding scene. To enhance the model's predictive capabilities further, it introduces a spatial-graph attention mechanism, which can pay attention to more important information in the spatial domain, to capture influences of surrounding vehicles/roads and generate reasonable predicted trajectories. We introduce unsupervised clustering to distinguish different driving styles and use discriminator to ensure that the generator generates trajectories conforming to the corresponding driving styles. Therefore, the entire framework is capable of not only generating accurate predictions but also aligning with the potential driving behaviors exhibited by drivers. To validate the efficacy of the proposed method, extensive evaluations are conducted on the Argoverse motion forecasting benchmark. The results demonstrate that our method outperforms other competitive approaches. © 2024 IEEE.

关键词： Generative adversarial networks

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Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date

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International Journal of Manufacturing Technology and Management 2022年第1期36卷 1-12页

作者： Huang, Bin Xiao, Yankai Chen, Yizheng College of Mechanical Engineering and Automation Fuzhou University Fuzhou350108 China Zhicheng College Fuzhou University Fuzhou350002 China School of Material and Chemical Engineering Hunan Institute of Engineering Xiangtan411104 China

We have studied the partner selection problem (PSP) in virtual enterprises with different preferences and uncertainties in completion time and due date. As a result, a new model employing fuzzy sets theory has been established to explain fuzzy completion time and fuzzy due date. For the candidate solutions obtained by decision-makers with different preferences, a multi-objective group decision-making (MOGDM) approach has been proposed to select the best partner combination. Finally, a numerical example has been presented to demonstrate the validity of the model and method. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Virtual corporation

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Mean-Square Stabilizability of Low-Order Systems Against Correlated Stochastic Multiplicative Uncertainties 5th

Mean-Square Stabilizability of Low-Order Systems Against Co...

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5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021

作者： Chen, Jianqi Qi, Tian Chen, Jie Department of Electrical Engineering City University of Hong Kong Hong Kong School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9789811939976

The robust stability problems for linear time-invariant systems under stochastic multiplicative uncertainties are tackled in this work. Such uncertainties could be used to generalize the common networked uncertainties mathematically, like transmission noises, packet losses, random delays, and quantization errors. It is worth noting that the multiplicative uncertainties are assumed to be diagonally structured and spatially correlated mutually, which differs from previously related results significantly. Facing such uncertainties, we obtain a necessary and sufficient robust stability condition in the mean-square sense, which covers various existing results. In light of the obtained stability condition, the mean-square stabilizability problems are further examined according to two case studies of low-order systems. Along with such systems, the necessary and sufficient stabilizability conditions are derived finally, which reveals the hidden relationships between the unstable system dynamics and the stochastic uncertainty variances on the determination of stabilizability problems. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Linear time-invariant system

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