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4th International Conference on Robotics and Computer Vision, ICRCV 2022

作者： Zhihui, Liu Wei, Wang Zhen, Huang Jinpeng, Xu Guangdong University of Technology School of Electrical and Mechanical Engineering Guangzhou China FAW-Volkswagen Automobile Co. Foshan Branch of FAW-Volkswagen Automobile Co. Changchun China Jihua Laboratory Engineering Research Center for Intelligent Robotics Foshan China

ISBN: (数字)9781665481700

ISBN: (纸本)9781665481700

Ensure safe, reliable, fast and stable robot navigation which requires stable and efficient motion planning algorithm support. In order to reduce the collision risk during robot navigation, we propose minimize collision risk global planner for mobile robot, based on voronoi graph to extract Tyson polygon vertices. Using multiple vertices to form a planning search graph, the collision risk of each edge is calculated i.e. the integral of the distance to the obstacle is used as the weighted value of the edge, and the search is performed using A∗ to obtain the planning path with the lowest collision risk globally at the current moment. In order to make the planned path more consistent with robot kinematics, we designed the collision and smooth cost function to optimize the path using gradient descent, and the searched path is passed to the local planner after path smooth. The test results on the actual robot show that the robot can effectively avoid narrow areas and effectively reduce the collision rate and replanning times in dynamic environments. © 2022 IEEE.

关键词： Mobile robots

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Design of a novel flexible assistive hand exoskeleton 37

Design of a novel flexible assistive hand exoskeleton

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37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022

作者： Li, Guotao Cheng, Long Gao, Zhengrun Lu, Jilong Zhao, Yanjiang Institute of Automation State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing100190 China Fudan University The National Clinical Research Center for Aging and Medicine Shanghai China Harbin University of Science and Technology Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin150080 China Intelligent Machine Institute Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9781665465366

Hand paralysis caused by stroke, spinal cord injury, or neurological trauma has a significant impact on the independence and quality of life of the patients. The hand exoskeleton can provide hand assistance and improve the patient's grasp. In this article, a novel wearable flexible hand exoskeleton is proposed to assist users in activities of daily life. To create a simple and lightweight assistive hand exoskeleton, 3D printing is used to manufacture most of the components, and a remote drive system is designed to reduce the weight of the hand exoskeleton. A ball pair device and a slider device are used to ensure the freedom of the thumb and the adaptability of the hand exoskeleton to different hand sizes. Finally, the experiments are conducted to verify that the hand exoskeleton can achieve motion assistance. © 2022 IEEE.

关键词： 3D printing

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SMOTE-Based Fault Diagnosis Method for Unbalanced Samples 11

SMOTE-Based Fault Diagnosis Method for Unbalanced Samples

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Xu, Yuan Cheng, Xiaoqian Ke, Wei Zhu, Qun-Xiong He, Yan-Lin Zhang, Yang College of Information Science and Technology Beijing University of Chemical Technology Beijing100029 China Engineering Research Center of Intelligent PSE Ministry of Education of China Beijing100029 China School of Applied Sciences Macao Polytechnic Institute SAR Macao999078 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Industrial processes are changing with each passing day, and the probability of failure is also increasing, and accurate fault diagnosis is becoming extremely important. In this paper, SMOTE-based fault diagnosis method for unbalanced samples is proposed. First, the SMOTE algorithm is used to oversample the unbalanced sample. Second, considering the high dimensionality of industrial data, the FDA algorithm is used for feature extraction. Third, the AdaBoost algorithm is used for fault diagnosis. Finally, the simulation validation is performed on the TFF dataset. The method proposed in this paper has higher diagnostic accuracy than other methods. © 2022 IEEE.

关键词： Failure analysis

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Ontology-Based BERT Model for Automated Information Extraction from Geological Hazard Reports

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Journal of Earth Science 2023年第5期34卷 1390-1405页

作者： Kai Ma Miao Tian Yongjian Tan Qinjun Qiu Zhong Xie Rong Huang Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang 443002China College of Computer and Information Technology China Three Gorges UniversityYichang 443002China Hubei Engineering Technology Research Center for Farmland Environment Monitoring China Three Gorges UniversityYichang 443002China School of Computer Science China University of GeosciencesWuhan 430074China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518034China Beijing Key Laboratory of Urban Spatial Information Engineering Beijing 100045China College of Economics and Management China Three Gorges UniversityYichang 443002China

Geological knowledge can provide support for knowledge discovery, knowledge inference and mineralization predictions of geological big data. Entity identification and relationship extraction from geological data description text are the key links for constructing knowledge graphs. Given the lack of publicly annotated datasets in the geology domain, this paper illustrates the construction process of geological entity datasets, defines the types of entities and interconceptual relationships by using the geological entity concept system, and completes the construction of the geological corpus. To address the shortcomings of existing language models(such as Word2vec and Glove) that cannot solve polysemous words and have a poor ability to fuse contexts, we propose a geological named entity recognition and relationship extraction model jointly with Bidirectional Encoder Representation from Transformers(BERT) pretrained language model. To effectively represent the text features, we construct a BERT-bidirectional gated recurrent unit network(BiGRU)-conditional random field(CRF)-based architecture to extract the named entities and the BERT-BiGRU-Attention-based architecture to extract the entity relations. The results show that the F1-score of the BERT-BiGRU-CRF named entity recognition model is 0.91 and the F1-score of the BERT-BiGRU-Attention relationship extraction model is 0.84, which are significant performance improvements when compared to classic language models(e.g., word2vec and Embedding from Language Models(ELMo)).

关键词： ontology BERT model name entity recognition relation extraction knowledge graph

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Antifungal activity of curcumin-mediated photodynamic inactivation against Fusarium graminearum on maize

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Grain & Oil Science and technology 2025年第1期8卷 21-31页

作者： Shuliang Dong Lu Chen Shaojie Li Konglong Feng Guang Liu Hao Dong Guizhi Xu Huajian Ou Yang Liu Yong Zhao Jingjing Wang Guangdong Provincial Key Laboratory of Intelligent Food Manufacturing Foshan UniversityFoshan 528225China College of Food Science and Technology Shanghai Ocean UniversityShanghai 201306China Shanghai Sixth People’s Hospital Affiliated to Shanghai JiaoTong University Shanghai 201306China Sericultural&Agri-Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional Foods Ministry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou 510610China College of Light Industry and Food Sciences Zhongkai University of Agriculture and EngineeringGuangzhou 510225China National Technical Center(Foshan)for Quality Control of Famous and Special Agricultural Products Foshan 528225China

The natural curcumin-mediated photodynamic inactivation(PDI)was developed,and its inactivation potency against Fusarium graminearum in vitro and in vivo was systematically investigated by fluorescence probe assay,trypan blue staining,scanning electron microscope(SEM),confocal laser scanning microscopy(CLSM),*** showed that under the irradiation of blue LED,the photosensitizer of curcumin was excited to generate massive reactive oxygen species(ROS)in the cells of ***,and the PDI completely inactivated their mycelia and spores under the treatment of 150μM curcumin and 10.8 J/cm^(2)*** analysis found that the PDI ruptured the cellular microstructures,damaged the cell membrane by increasing its permeability and oxidizing the lipids,degraded the intracellular DNA and proteins inside the spores of ***,the PDI also potently killed>99.99%spores of *** on maize under the treatment of 200μM curcumin and 10.8 J/cm^(2)***,the PDI suppressed the production of zearalenone(ZEN),and residual ZEN could not be detected after the storage of maize for 10 ***,this study systematically explored the inactivation efficiency of curcumin-mediated PDI against both the mycelia and spores of ***,which provides a valid and promising method to control the fungal hazards in grains.

关键词： Fusarium graminearum Photodynamic inactivation(PDI) Spores Mycelia Zearalenone(ZEN)

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On Building a Knowledge Graph of Open Courses 5th

On Building a Knowledge Graph of Open Courses

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5th China Conference on Knowledge Graph, and Semantic Computing, CCKS 2020

作者： Fan, Yuxuan Hu, Wenbo Huang, Wencheng Wang, Zhichun School of Artificial Intelligence Engineering Research Center of Intelligent Technology and Educational Application Ministry of Education Beijing Normal University Beijing China

ISBN: (纸本)9789811619632

To help online learners to efficiently get open courses they want to learn, we build a large knowledge graph of open courses. Our knowledge graph contains structured information of a large number of open courses, and also provides important links among concepts and courses. Based on the extracted prerequisite relations in the knowledge graph, learning paths of concepts and courses can be recommended to learners. More specifically, we define an ontology for open courses and extract structured information of courses guided by the ontology. Concept linking, prerequisite extraction, and course linking are performed, which enables the knowledge graph to provide helpful assistance to learners. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Extraction

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Fractional-order Non-singular Terminal Sliding Mode control for Bilateral Teleoperation System 48

Fractional-order Non-singular Terminal Sliding Mode Control ...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Duan, Xiaolong Ma, Zhiqiang Liu, Zhengxiong Liu, Yu Bai, Lifei Northwestern Polytechnical University Research Center for Intelligent Robotics School of Astronautics Xi'an710072 China Beijing Institute of Tracking and Telecommunication Technology Beijing100094 China Systems Engineering Research Institute of China State Shipbuilding Corporation Limited Beijing100094 China

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This article investigates the stabilization of the bilateral teleoperation system with inherent strong nonlinearities and model parametric uncertainties, and a fractional-order non-singular terminal sliding mode control (FONTSMC) strategy for high-precision master-slave tracking is generated by combining fractional calculus and sliding mode control. The stability of the closed-loop system and finite-time convergence are analyzed using the Lyapunov stability theory. For simulation verification, the presented control scheme is applied to a pair of 3-DoF Phantom Omni haptic manipulators. The results reveal that the performance of non-singular terminal sliding mode control with fractional calculus is significantly better than that of the integer-order non-singular terminal sliding mode control in terms of trajectory tracking accuracy and response time. © 2022 IEEE.

关键词： Sliding mode control

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Emergency Blocking control Strategy Against Power System Cascading Failure Based on Risk Assessment

Emergency Blocking Control Strategy Against Power System Cas...

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Power System and Green Energy Conference (PSGEC)

作者： Yangzhou Pei Jun Yang LuYu Ji JingZhe Tu Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network School of Electrical Engineering and Automation Wuhan University Wuhan China China Electric Power Research Institute Beijing China

Emergency blocking control is of great significance for blocking cascading failure process and preventing system collapse. An emergency blocking control scheme against cascading failure based on risk assessment is proposed, in terms of maintaining the stability and economy of the power system. Firstly, the cascading failure involving the renewable generators is simulated, integrating the DC power flow, the line operation reliability model, and the hidden fault of the relay protection device. Then, the average load loss index by simulating multiple system cascading failure is obtained. Based on the calculated operation risk, the double dueling deep q network (D3QN) based reinforcement learning framework for emergency blocking control scheme is designed. And the prioritized experience replay mechanism is selected for learning improvement. Finally, case study on the IEEE 36-bus system is carried out to verify the effectiveness of the proposed method.

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Blockchain-Based Homomorphic Transaction Framework for Enhanced Consumer Security and Business Scalability

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IEEE Transactions on Consumer Electronics 2024年

作者： Guo, Tao Shang, Fengjun Dai, Xiangguang Liu, Qilie Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Key Laboratory of Big Data Intelligent Computing Chongqing400065 China Chongqing Three Gorges University Key Lab. of Intelligent Info. Proc. and Contr. of Chongqing Munic. Institutions of Higher Education Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology School of Three Gorges Artificial Intelligence Chongqing400044 China Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China

Energy trading in distributed microgrids represents an effective means of enhancing the utilization of renewable energy. However, the aggregation of large-scale consumption data may encounter business scalability issues and potential privacy exposure concerns, necessitating the development of novel secure and scalable frameworks for integrating consumption demands between prosumer and microgrid entities. we research focuses on providing a user-friendly transaction model for consumers and microgrid operators. Firstly, a privacy aggregation scheme for user resource requests is designed to ensure the security and decentralization of user data. In addition, the model employs a bidirectional heterogeneous resource allocation mechanism to support the optimal allocation of multiple resources, such as renewable energy, power assets, energy storage devices, and carbon credits, among different microgrids. Finally, a microgrid transaction prototype has been constructed on the Truffle development framework. In this context, smart contracts has been designed to ensure that the transactions are carried out automatically. Experimental results indicate that the scheme provides enhanced security for multi-resource trading in a cluster context relative to existing methodologies. The number of transactions increases linearly with the resource overhead, resulting in more efficient utilization of energy trading. Furthermore, the framework's scalability has been demonstrated through both temporal and spatial considerations. © 1975-2011 IEEE.

关键词： Decentralized finance

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Chaos synchronization of semiconductor lasers over 1040-km fiber relay transmission with hybrid amplification

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Photonics research 2023年第6期11卷 953-960页

作者： LONGSHENG WANG JUNLI WANG YUSHAN WU YUEHUI SUN SONGSUI LI LIANSHAN YAN YUNCAI WANG ANBANG WANG Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan 030024China College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China School of Information Engineering Guangdong University of TechnologyGuangzhou 510006China Guangdong Provincial Key Laboratory of Photonics Information Technology Guangzhou 510006China Center for Information Photonics&Communications School of Information Science and TechnologySouthwest Jiaotong UniversityChengdu 610031China

Optical chaos communication and key distribution have been extensively demonstrated with high-speed advantage but only within the metropolitan-area network range of which the transmission distance is restricted to around 300 *** secure-transmission requirement of the backbone fiber link,the critical threshold is to realize long-reach chaos ***,we propose and demonstrate a scheme of long-reach chaos synchronization using fiber relay transmission with hybrid amplification of an erbium-doped fiber amplifier(EDFA)and a distributed fiber Raman amplifier(DFRA).Experiments and simulations show that the hybrid amplification extends the chaos-fidelity transmission distance thanks to that the low-noise DFRA suppresses the amplified spontaneous emission noise and self-phase *** of the hybrid-relay conditions are studied,including launching power,gain ratio of DFRA to EDFA,single-span fiber length,and number of fiber span.A 1040-km chaos synchronization with a synchronization coefficient beyond 0.90 is experimentally achieved,which underlies the backbone network-oriented optical chaos communication and key distribution.

关键词： synchronization fiber amplifier

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