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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Hongxin Zhang Jiaxin Liu Ying Tang Gang Xiong State Key Lab of CAD & CG Zhejiang University China College of Software Engineering Zhejiang University of Technology China State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

Predicting traffic flow is one of the fundamental issue to smart cities. However it is still challenging in vehicular cyber-physical systems because of ever-increasing urban traffic data. Most previous models for traffic flow prediction suffers the problem with variance error depends on time and location. In this paper, a novel graph convolution network (GCN) approach is proposed for predicting citywide traffic flow. Our key idea is to introduce spatial and temporal attention to the GCN model to lessen the impact of urban data complexity. A framework of flow-based graph convolutional network is established to improve traffic flow prediction while investigating the spatial and temporal correlation of traffic flow. We further propose practical strategies that efficiently learn parameters of the model. Experimental results demonstrate that the proposed approach to traffic flow prediction outperforms state-of-the-art approaches.

关键词： Predictive models Data models Analytical models Convolution Urban areas Chebyshev approximation Roads

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state Machine Based Malicious Packet Attack Detection and Security Situation Assessment

State Machine Based Malicious Packet Attack Detection and Se...

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IEEE International Conference on Civil Aviation Safety and Information technology (ICCASIT)

作者： Ying Liu Dongqin Feng State Key Laboratory of Industrial Control Technology Zhejiang University Institute of Intelligent Systems and Control Zhejiang China

ISBN: (纸本)9781728125992

Computer network technology has been increasingly infiltrated into the industrial control system and made the security problems more complex and changeable. Network security situation awareness technology can perceive the real-time threats that the network faced, and provide reliable basis for decision-making. This paper mainly focuses on the situation assessment and introduces finite state machine and fuzzy logic theory. Finite state machine can intuitively show the internal state transition of the industrial control system and detect the malicious packet attack's type and severity. Fuzzy logic balances the semantic fuzziness and event uncertainty in the process of situation assessment, fuses the output data of the state machine and obtains the threat level which is helpful for decision analysis. Proved, the method proposed in this paper can give a reasonable and accurate security assessment of industrial control system.

关键词： Malicious packet attack detection industrial control system Finite state machine Fuzzy logic industrial control systems finite state machines state machines Fuzzy logic state Change

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Dynamic Privacy-preserving Collaborative Schemes for Average Computation

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IFAC-PapersOnLine 2020年第2期53卷 2963-2968页

作者： Xin Wang Hideaki Ishii Jianping He Peng Cheng State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Dept. of Computer Science Tokyo Institute of Technology Yokohama 226-8502 Japan Dept. of Automation Shanghai Jiao Tong University Shanghai 200240 China

In this paper, we consider the privacy-preserving problem in collaborative computing. Based on a two-step average computation framework, we propose three privacy-aware schemes, all of which achieve different levels of privacy protections depending on data servers’ trust degrees. Further, by carefully designing noises injected to the distributed computing process, we obtain dynamic privacy-preserving schemes, whose privacy preserving levels are measured by Kullback-Leibler differential privacy. In addition, we prove that the proposed schemes achieve convergence in different senses. Numerical experiments are finally conducted to verify the obtained privacy properties and convergence guarantees.

关键词： Collaborative computing dynamic privacy average consensus convergence

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A Quantized controller of Linear systems with Disturbances under DoS Attacks

A Quantized Controller of Linear Systems with Disturbances u...

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International Conference on control and Automation (ICCA)

作者： Wenjie Liu Jian Sun Jie Chen State Key Lab of Intelligent Control and Decision of Complex Systems and School of Automation Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China Tongji University Shanghai China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper considers the problem of stabilizing linear time-invariant systems with quantized state measurements under both external disturbances and Denial-of-Service (DoS) attacks. An element-based impulsive controller that can stabilize systems when quantization, DoS attacks and bounded disturbances coexist is proposed. A sufficient condition for stability characterized by the parameters of DoS attacks, bit-rate and the quantizer's saturation time is obtained. Moreover, analysis shows that under an appropriate design of parameters of the controller, the resultant saturation time always remains small. A numerical example is given to confirm the validity of the proposed method.

关键词： Denial-of-service attack Quantization (signal) Encoding Decoding Bandwidth Switched systems Eigenvalues and eigenfunctions

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Efficient Photocatalytic Degradation of Antibiotics in Water by a Novel Niln2s4/Uio-66 Z-Scheme Heterostructure

SSRN

引用

SSRN 2022年

作者： Wang, Anhu Liang, Huagen Chen, Fu Tian, Xinlong Jing, Shengyu Tsiakaras, Panagiotis Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization Low Carbon Energy Institute China University of Mining and Technology Xuzhou221008 China School of Materials Science and Engineering China University of Mining and Technology Xuzhou221008 China Key Laboratory of Fuel Cell Technology of Guangdong Province Guangzhou510640 China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine Chemistry School of Chemical Engineering and Technology Hainan University Haikou570228 China School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221008 China Laboratory of Electrochemical Devices based on Solid Oxide Proton Electrolytes Institute of High Temperature Electrochemistry RAS Yekaterinburg620990 Russia Laboratory of Materials and Devices for Electrochemical Power Industry Institute of Chemical Engineering Ural Federal University 19 Mira Str. Yekaterinburg620002 Russia Laboratory of Alternative Energy Conversion Systems Department of Mechanical Engineering School of Engineering University of Thessaly 1 Sekeri Str. Pedion Areos 38834 Greece

Photocatalysis is considered an economical, environmentally friendly, and effective technology for removing pollutants. The construction of Z-Scheme heterojunctions has been identified as one of the feasible solutions capable of enhancing the photocatalytic activity. Herein, a series of visible light responsive photocatalysts (NiIn 2 S 4 /Uio-66 composites) with excellent activity and stability were prepared by using a solvothermal process. It is found that 20 mg L -1 of tetracycline (TC) could be completely degraded under visible light irradiation within 1 h, when the mass ratio of NiIn 2 S 4 to Uio-66 is 0.5:1 (NISU-0.5) and the solution pH=11. In addition, after six cycles, the degradation rate of tetracycline photocatalyzed by NISU-0.5 still reach up to 90%. Ultraviolet photoelectron spectra (UPS), X-ray photoelectron spectra (XPS) and electron spin resonance measurements (ESR) confirm the formation of the Z-Scheme heterostructure between NiIn 2 S 4 and Uio-66. The synergistic effect between built-in electric field, energy band bending and coulomb interactions in interface of Z-Scheme heterojunction is conducive to restrain the recombination of photogenerated electrons and holes, which greatly improve the photocatalytic activity. In conclusion, this study offers a new thought for design and synthesis of Z-Scheme heterojunctions and provides a cost-effective strategy for solving environmental pollution and energy problems in the future. © 2022, The Authors. All rights reserved.

关键词： Heterojunctions

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Convolutional Neural Network applied in mime speech recognition using sEMG data

Convolutional Neural Network applied in mime speech recognit...

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Chinese Automation Congress (CAC)

作者： Qing Ai Wei Zhang Bixuan Zhang Guang Li Meng Yang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Computer Science and Technology China University of Mining and Technology Beijing China

Decoding speaking intention from the cervical and facial muscle activity enables speech recognition independent of acoustic signals, thus allowing silent communication between human and computing devices. This research aims to design and optimize the convolutional network classifier for sEMG mime speech signals. The muscles involved in the vocalization and timbre modulation are found according to the anatomical map. Six-channel signals have been collected from the corresponding position using the sEMG signal acquisition device. The original signals are subjected to pre-processing, including noise reduction, active segment detection and interpolation, to form training and testing sets. Convolutional network models are applied to Figure out the influence of structural parameters, such as convolution kernel size, the number of convolution kernels and the depth of network, on the recognition accuracy. Based on repeated trials, the optimal convolution network is provided, which provide above 80% accuracy rate.

关键词： Speech recognition Convolution Electromyography Task analysis Training Kernel Interference

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Silent Speech Recognition Based on Surface Electromyography

Silent Speech Recognition Based on Surface Electromyography

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Chinese Automation Congress (CAC)

作者： Siyuan Ma Dantong Jin Ming Zhang Bixuan Zhang You Wang Guang Li Meng Yang Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Department of Computer Science and Technology China University of Mining and Technology Beijing China

Silent speech recognition (SSR) can decode the activities of electromyography (EMG) from surface of articulatory muscles to the according brain information. As the essentials in SSR, feature extraction and recognition are directly related to the final decoding effects, which requires careful research, especially on small datasets. This paper collected the surface EMG (sEMG) of 10 isolated Chinese words by 6 surface electrodes on face and around, and based on which sEMG features were extracted by wavelet packet transform, principal component analysis and XGBoost (an implementation of gradient boosted decision trees) respectively. Then Support Vector Machine, K-Nearest Neighbor and Random Forest were explored for recognition on the 10 words. The results indicated that the highest accuracy of 72% was achieved by the method of Random Forest based on XGBoost.

关键词： Feature extraction Principal component analysis Support vector machines Training Speech recognition Electromyography Forestry

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Localization of chiral edge states by the non-Hermitian skin effect

arXiv

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arXiv 2023年

作者： Liu, Gui-Geng Mandal, Subhaskar Zhou, Peiheng Xi, Xiang Banerjee, Rimi Hu, Yuan-Hang Wei, Minggui Wang, Maoren Wang, Qiang Gao, Zhen Chen, Hongsheng Yang, Yihao Chong, Yidong Zhang, Baile Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore637371 Singapore National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen518055 China School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Jiangsu Nanjing210093 China Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Science and Technology Innovation Center College of Information Science and Electronic Engineering Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang ZJU-UIUC Institute Zhejiang University Hangzhou310027 China Centre for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

Quantum Hall systems host chiral edge states extending along the one-dimensional boundary of any two-dimensional sample. In solid state materials, the edge states serve as perfectly robust transport channels that produce a quantised Hall conductance;due to their chirality, and the topological protection by the Chern number of the bulk bandstructure, they cannot be spatially localized by defects or disorder. Here, we show experimentally that the chiral edge states of a lossy quantum Hall system can be localized. In a gyromagnetic photonic crystal exhibiting the quantum Hall topological phase, an appropriately structured loss configuration imparts the edge states’ complex energy spectrum with a feature known as point-gap winding. This intrinsically non-Hermitian topological invariant is distinct from the Chern number invariant of the bulk (which remains intact) and induces mode localization via the "non-Hermitian skin effect". The interplay of the two topological phenomena – the Chern number and point-gap winding – gives rise to a non-Hermitian generalisation of the paradigmatic Chern-type bulk-boundary correspondence principle. Compared to previous realisations of the non-Hermitian skin effect, the skin modes in this system have superior robustness against local defects and disorders. Copyright © 2023, The Authors. All rights reserved.

关键词： Topology

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Corrections to “Starfish Inspired Milli Soft Robot With Omnidirectional Adaptive Locomotion Ability”

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IEEE Robotics and Automation Letters 2021年第3期6卷 5348-5348页

作者： Xiong Yang Rong Tan Haojian Lu Yajing Shen Biomedical Engineering Department City University of Hong Kong Kowloon Hong Kong State Key Laboratory of Industrial Control and Technology and Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Shenzhen Research Institute City University of Hong Kong Shenzhen China

Presents corrections to the declaration of equal contribution that was missed in the above named paper.

关键词： Soft robotics

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DeepGoal: Learning to drive with driving intention from human control demonstration

arXiv

引用

arXiv 2019年

作者： Ma, Huifang Wang, Yue Xiong, Rong Kodagoda, Sarath Tang, Li 38 Zheda Road Zhejiang310027 China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Zhejiang China Centre for automotive Systems University of Technology Sydney Australia

Recent research on automotive driving developed an efficient end-to-end learning mode that directly maps visual input to control commands. However, it models distinct driving variations in a single network, which increases learning complexity and is less adaptive for modular integration. In this paper, we re-investigate human’s driving style and propose to learn an intermediate driving intention region to relax difficulties in end-to-end approach. The intention region follows both road structure in image and direction towards goal in public route planner, which addresses visual variations only and figures out where to go without conventional precise localization. Then the learned visual intention is projected on vehicle local coordinate and fused with reliable obstacle perception to render a navigation score map widely used for motion planning. The core of the proposed system is a weakly-supervised cGAN-LSTM model trained to learn driving intention from human demonstration. The adversarial loss learns from limited demonstration data with one local planned route and enables reasoning of multi-modal behavior with diverse routes while testing. Comprehensive experiments are conducted with real-world datasets. Results show the proposed paradigm can produce more consistent motion commands with human demonstration, and indicates better reliability and robustness to environment change. Our code is available at https://***/HuifangZJU/visual-navigation. Copyright © 2019, The Authors. All rights reserved.

关键词： Motion planning

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