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Chinese Automation Congress (CAC)

作者： Wei Liu Yisheng Lu Tao Zhang Jun Chen School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geoexploration Wuhan China

In recent years, the semantic segmentation of 3D point cloud has received increasing attention the field of computer vision, because 3D point cloud can better reflect our 3D space. Because of the unstructured and disordered characteristics of 3D point cloud data, semantic segmentation of point cloud is still a difficult task. Our network automatically learns the importance of feature channels by adding a channel attention module, which enables the network to obtain better training results. After the channel attention module is fused, the important channels in the features are enhanced, and the unimportant channels are suppressed, making the network training more efficient. In this paper, we propose an indoor point cloud semantic segmentation method combined with channel attention mechanism. The experimental results show that our method achieves better results than other methods.

关键词： Point cloud compression Training Computer vision Three-dimensional displays Automation Statistical analysis Semantic segmentation

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Coexistence of Ferroelectriclike Polarization and Dirac-like Surface State in TaNiTe5

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Physical Review Letters 2022年第10期128卷 106802-106802页

作者： Yunlong Li Zhao Ran Chaozhi Huang Guanyong Wang Peiyue Shen Haili Huang Chunqiang Xu Yi Liu Wenhe Jiao Wenxiang Jiang Jiayuan Hu Gucheng Zhu Chenhang Xu Qi Lu Guohua Wang Qiang Jing Shiyong Wang Zhiwen Shi Jinfeng Jia Xiaofeng Xu Wentao Zhang Weidong Luo Dong Qian Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China School of Physics and Key Laboratory of MEMS of the Ministry of Education Southeast University Nanjing 211189 China Key Laboratory of Quantum Precision Measurement of Zhejiang Province Department of Applied Physics Zhejiang University of Technology Hangzhou 310023 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China

By combining angle-resolved photoemission spectroscopy, scanning tunneling microscopy, atomic force microscope based piezoresponse force microscopy and first-principles calculations, we have studied the low-energy band structure, atomic structure, and charge polarization on the surface of a topological semimetal candidate TaNiTe5. Dirac-like surface states were observed on the (010) surface by angle-resolved photoemission spectroscopy, consistent with the first-principles calculations. On the other hand, piezoresponse force microscopy reveals a switchable ferroelectriclike polarization on the same surface. We propose that the noncentrosymmetric surface relaxation observed by scanning tunneling microscopy could be the origin of the observed ferroelectriclike state in this novel material. Our findings provide a new platform with the coexistence of a ferroelectriclike surface charge distribution and novel surface states.

关键词： Ferroelectricity Surface states Surfaces Topological materials Angle-resolved photoemission spectroscopy Piezoresponse force microscopy

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Delay-Dependent Stability Analysis of Multi-Area Load Frequency control Systems with Multiple Renewable Energy Structures

Delay-Dependent Stability Analysis of Multi-Area Load Freque...

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Chinese control Conference (CCC)

作者： Qian-Long Pan Li Jin Yong He Zhou-Zhou Liu School of Automation China University of Geosciences Wuhan P.R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P.R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P.R. China

This paper investigates the delay-dependent stability of time-delayed load frequency control (LFC) systems with multiple energy structures based on Lyapunov theory and linear matrix inequality (LMI) technology. Firstly, a multi-area delayed LFC model considering multiple renewable energy structures is established. Then, in order to improve the computation efficiency of stability analysis of large scale LFC systems, a new reconstruction technique for system model is proposed. Next, the improved delay-dependent stability criteria are established based on reconstructed model by using the Lyapunov stability theory. Finally, case studies are based on two-area LFC systems. Comparing with the criterion based on the original model without reconstruction, the calculation efficiency of proposed stability criteria has been greatly improved with the cost of small accuracy, and the calculation accuracy is better than the previous methods.

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Learning to Find Good Correspondences Based on Global and Local Attention Mechanism

Learning to Find Good Correspondences Based on Global and Lo...

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2021 China Automation Congress, CAC 2021

作者： Chen, Jun Gu, Yue Luo, Linbo School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan China

ISBN: (纸本)9781665426473

We are committed to designing a method for establishing a set of reliable correspondences between two images in this paper. Previous work proposes an outlier removal network based on global and local attention mechanism. It normalizes the feature map under the guidance of attention weight, as a result the robustness to outliers is improved and inliers are better preserved. However, element-wise multiplication of these two different attentions makes them unable to perform their original functions. In order to overcome this limitation, a network based on attention mechanism has been designed in our work. Firstly, global attention is employed to compute a global weight which can help normalization focus on inliers and reduce the influence of outliers on context information. Secondly, to extract channel information, we use local attention to learn a channel weight for each correspondence. Finally, the above structures and residual network modules are combined for correspondence establishment. Experimental results show that our method is better than other SOTA methods. © 2021 IEEE

关键词： Computer vision

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Stability Analysis of Delayed T-S Fuzzy Systems via the Fuzzy Line-Integral Method

Stability Analysis of Delayed T-S Fuzzy Systems via the Fuzz...

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Chinese control Conference (CCC)

作者： Zhou-Zhou Liu Li Jin Yong He School of Automation China University of Geosciences Wuhan P.R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan P.R. China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan P.R. China

This paper focuses on the problem of stability analysis for Takagi-Sugeno systems with time-varying delays. Firstly, a suitable Lyapunov-Krasovskii functional (LKF) containing fuzzy line-integral Lyapunov functional is constructed, which can introduce membership functions information while avoiding emerging the time-derivatives of membership functions. Then, a generalized free-matrix-based integral inequality is applied to estimate the derivative of the LKF. As a result, a less conservative stability criterion is obtained. Finally, a numerical example is carried out to illustrate the effectiveness and merits of our method.

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A Model-Predictive-Enabled Equivalent-Input-Disturbance Approach for Disturbance Rejection

A Model-Predictive-Enabled Equivalent-Input-Disturbance Appr...

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Industrial Cyber-Physical Systems (ICPS)

作者： Yujian Zhou Jinhua She Feng Wang Makoto Iwasaki School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Tokyo Japan Department of Electrical and Mechanical Engineering Nagoya Institute of Technology Nagoya Japan

This paper presents a model-predictive-enabled equivalent-input-disturbance (MPEID) method for disturbance rejection. An EID estimator with a state observer estimates the effect of disturbances in a system. The disturbance estimation will not be directly added to the input channel for disturbance rejection. A cost function that considers the disturbance estimation is designed. An MPC controller calculates an optimal control input by minimizing the cost function. The stability condition of the closed-loop system is analyzed based on the Lyapunov stability theory. Simulation results show that our method has better disturbance-rejection performance than an MPC method when the control input is similar.

关键词： Simulation Estimation Optimal control Predictive models Observers Cyber-physical systems Cost function

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Synthesis of Ultra-Low Freezing Point Alkane by Self-Aldol Condensation of N-Butyraldehyde Over Mgo-Sio2 Catalyst

SSRN

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SSRN 2023年

作者： Jiang, Zhenjing Wang, Wuyu Zhang, Xinghua Zhang, Qi Ma, Longlong School of Energy Science and Engineering University of Science and Technology of China Hefei230026 China Guangzhou Institute of Energy Conversion Chinese Academy of Sciences Guangzhou510640 China Key Laboratory of Energy Thermal Conversion and Process Measurement and Control Ministry of Education School of Energy and Environment Southeast University Nanjing210096 China

Production of aviation fuel is promising but challenging in the field of biomass utilization. Here we proposed a novel route to produce highly branched alkanes with ultra-low freezing point using n-butyraldehyde as feedstocks by self-aldol condensation and subsequent hydrodeoxygenation (HDO). The catalytic activities of silica supported magnesium oxide catalysts (MgO-SiO2) were carefully explored in the self-aldol condensation of n-butyraldehyde using n-butanol as the solvent. It was found that synergetic effect between basic site and weak Bronsted acid site played a key role in the self-aldol condensation of n-butyraldehyde. The yields of condensation product C8 and C12 oxygenate were 69.3% and 26.8% respectively. The regeneration ability of preferred 30% MgO-SiO2 catalyst exhibited an excellent reusability in the self-aldol condensation of n-butyraldehyde. In addition, hydrodeoxygenation of condensation products was also conducted over 5 wt% Pd/C and HZSM-5 catalysts. The obtained HDO products were highly branched alkanes with ultra-low freezing point. © 2023, The Authors. All rights reserved.

关键词： Silica

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Research on Robot Assembly Line Balancing Considering Energy Consumption

Research on Robot Assembly Line Balancing Considering Energy...

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作者： Haotian, Feng Hongjun, Wang School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Intelligent Perception and Control of High-End Equipment Beijing International Science and Technology Cooperation Base Beijing100192 China Key Laboratory of Modern Measurement and Control Technology of Ministry of Education Beijing Information Science and Technology University Beijing100192 China

In order to improve the efficiency of robot assembly line and optimize the energy consumption, an optimization scheme of multi position task allocation for the same robot is designed. Based on a robot assembly line, a mathematical model of robot assembly line balance is established, which takes smoothness index, assembly energy consumption and input cost as optimization objectives. On this basis, an improved multi-objective hybrid genetic algorithm is proposed. In this algorithm, the penalty function method is introduced to adjust the convergence of the solution, and an adaptive weighting mechanism based on bat algorithm is added to expand the global search ability. Finally, based on the actual situation of a robot assembly line, Flexsim was used to conduct simulation experiments on the optimization results to verify the feasibility and effectiveness of the optimization scheme. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Multiobjective optimization

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Research on semi-physical simulation system of high-end CNC machine based on cloud platform 8

Research on semi-physical simulation system of high-end CNC ...

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8th International Symposium on Test Automation and Instrumentation, ISTAI 2020

作者： Wu, Guoxin Jiang, Zhanglei Liu, Xiuli Deng, Sanpeng Xu, Xiaoli Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing China School of Mechanical Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9781839535635

Building a cloud service platform for CNC machine can save a lot of training costs and time, effectively solve the problems such as large investment in the renovation of CNC equipment and fast replacement speed, simulate the production and processing process of enterprises, and seamlessly connect real machine tools. The training cloud platform can provide MOOC-style teaching simultaneously and the information interaction of each simulation terminal is realized. Enterprise cloud platform is equipped with the online publishing function of enterprise requirements, remote expert system and early fault simulation and prediction function to realize the efficient utilization of intelligent manufacturing resources. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Computer control systems

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Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model

Short - Term Prediction of Coke Pushing Current Peak Based o...

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Industrial Cyber-Physical Systems (ICPS)

作者： Haiyang Wei Luefeng Chen Jie Hu Yi Ren Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan

Coke pushing current is an indicator to evaluate the difficulty of coke pushing operation. The higher coke pushing current is, the greater coke pushing resistance is, and the more difficult coke is to push out. Accurate prediction of current peak during future coke pushing operation can provide more time for production personnel to adjust production status and avoid difficult coke pushing in carbonization chamber. In this paper, a combination prediction model based on VMD (Variational Mode Decomposition) and improved ARIMA (Autoregressive Integrated Moving Average) models is proposed. Firstly, VMD algorithm is used to decompose time series of coke pushing current peak, de-noising data, and extracting main information of time series. Then, ARIMA model is used to predict mean change of linear elasticity and GARCH (Generalized Autore-gressive Conditional Heteroskedasticity) model is introduced to predict ARIMA model residual and improve heteroscedasticity of nonlinear part of time series, and then ARIMA-GARCH model is established. Finally, predicted value is obtained by the sum of each component prediction. The experimental results show that the proposed prediction model has a high prediction accuracy in the short-term prediction of coke pushing current peak. The scheme is applied to actual coking production to guide production of coke.

关键词： Resistance Ovens Time series analysis Noise reduction Production Predictive models Prediction algorithms

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