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Robust tensor decomposition via orientation invariant tubal nuclear norms

Science China(Technological Sciences) 2022年第6期65卷 1300-1317页

作者： WANG AnDong ZHAO QiBin JIN Zhong LI Chao ZHOU GuoXu School of Automation Guangdong University of TechnologyGuangzhou 510006China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China Tensor Learning Team RIKEN Center for Advanced Intelligence ProjectTokyo 103-0027Japan Key Laboratory of Intelligent Perception and System for High-Dimensional Information Ministry of EducationNanjing 210094China Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing Ministry of EducationGuangzhou 510006China

Aiming at recovering an unknown tensor(i.e.,multi-way array)corrupted by both sparse outliers and dense noises,robust tensor decomposition(RTD)serves as a powerful pre-processing tool for subsequent tasks like classification and target detection in many computer vision and machine learning ***,tubal nuclear norm(TNN)based optimization is proposed with superior performance as compared with other tensorial nuclear norms for tensor ***,one major limitation is its orientation sensitivity due to low-rankness strictly defined along tubal orientation and it cannot simultaneously model spectral low-rankness in multiple *** this end,we introduce two new tensor norms called OITNN-O and OITNN-L to exploit multi-orientational spectral low-rankness for an arbitrary K-way(K≥3)*** further formulate two RTD models via the proposed norms and develop two algorithms as the ***,we establish non-asymptotic error bounds which can predict the scaling behavior of the estimation *** on real-world datasets demonstrate the superiority and effectiveness of the proposed norms.

关键词： tensor recovery t-SVD estimation error tensor completion

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Influence of contact layer on the sulphur corrosion of copper conductors in power transformers

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High Voltage 2022年第1期7卷 176-184页

作者： Lijun Yang Dong Ding Yuan Yuan Sihang Gao Yuncai Lu State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina College of Material Science and Engineering Chongqing UniversityChongqingChina Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqingChina State Grid Jiangsu Electric Power Co. Ltd.Electric Power Research InstituteNanjingChina

Owing to the corrosive sulphides in the mineral insulating oil such as dibenzyl disul-phide(DBDS),copper windings in oil‐immersed transformers may suffer sulphur *** study investigates the influence of different contact conditions on the corrosion of copper conductors in ***‐immersed accelerated corrosion experiment was conducted on copper conductors with various contact materials and different layers of insulating *** surface micromorphology,deposition compo-nent and the potentiodynamic polarization characteristics of copper conductors were *** results show that copper with different contact materials suffer sulphur corrosion;conversely,bare copper rarely *** was also verified that the existence of a particular gap between copper and contact layer is a significant factor in sulphur corrosion by the formation of a concentration cell on the copper *** insu-lating paper wrapped around copper conductors does not increase the corrosion ten-dency of copper;however,it contributes to the formation of a region concentrated with DBDS,Cu^(2+),H^(+)by adsorption and impediment,which plays a key role in facilitating the sulphur corrosion of copper ***,sulphur corrosion can also occur on other metal parts in transformers when there is a particular gap on surfaces other than copper.

关键词： corrosion copper sulphur

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Discovering periodic frequent travel patterns of individual metro passengers considering different time granularities and station attributes

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International Journal of Transportation Science and technology 2024年第2期14卷 12-26页

作者： Zhibin Jiang Yan Tang Jinjing Gu Zhiqing Zhang Wei Liu College of Transportation Engineering Tongji UniversityShanghai 201804China The Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityShanghai 201804China Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety Tongji UniversityShanghai 201804China School of Information Science and Engineering Yunnan UniversityKunming 650500China The Key Laboratory of Internet of Things Technology and Application in Yunnan Province Kunming 650500China Technical Center of Shanghai Shentong Metro Group Co. Ltd.Shanghai 201103China

Periodic frequent pattern discovery is a non-trivial task to discover frequent patterns based on user interests using a periodicity *** conventional algorithms for periodic frequent pattern detection have numerous applications,there is still little research on periodic frequent pattern detection of individual passengers in the *** travel behavior of individual passengers has complex spatio-temporal characteristics in the metro network,which may pose new challenges in discovering periodic frequent patterns of individual metro passengers and developing mining algorithms based on real-world smart card *** study addresses these issues by proposing a novel pattern for metro passenger travel pattern called periodic frequent passenger traffic patterns with time granularities and station attributes(PFPTS).This discovered pattern can automatically capture the features of the temporal dimension(morning and evening peak hours,week)and the spatial dimension(entering and leaving stations).The corresponding complete mining algorithm with the PFPTS-tree structure has been *** evaluate the performance of PFPTS-tree,several experiments are conducted on one-year real-world smart card data collected by an automatic fare collection system in a certain large metro *** results show that PFPTS-Tree is efficient and can discover numerous interesting periodic frequent patterns of metro passengers in the real-world dataset.

关键词： Metro passenger travel pattern Spatio-temporal characteristics Periodic frequent pattern PFPTS-tree structure Smart card data

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Flexible linear clock-based distributed self-triggered active power-sharing secondary control of AC microgrids

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Global Energy Interconnection 2024年第6期7卷 786-797页

作者： Yulin Chen Xing Huang Guangxin Zhi Shaohua Yang Hongxun Hui Donglian Qi Yunfeng Yan Fengkai Gao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China Hainan Institute Zhejiang UniversitySanya572000P.R.China College of Electrical Engineering Zhejiang UniversityHangzhou310027P.R.China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078P.R.China

Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited computation and communication resources of the secondary *** enhance the efficiency of secondary control,we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear *** continuous communication–based controllers,the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear ***,this approach results in a significant reduction in both the computation and communication ***,this design naturally avoids Zeno ***,a modified triggering condition was established to achieve further reductions in computation and *** simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers,thereby substantially enhancing the efficacy of secondary control in MGs.

关键词： Active power sharing Distributed secondary control Self-triggered mechanism AC microgrid Control efficiency

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Energy-Efficient UAV Trajectory Plan for 6G Networks 1

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11th International Conference on Communications, Signal Processing, and systems, CSPS 2022

作者： Qin, Peng Wu, Xue Zhao, Xiongwen Zhao, Honghao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University Beijing102206 China Hebei Key Laboratory of Power Internet of Things Technology North China Electric Power University Baoding071003 China

ISBN: (数字)9789819912605

ISBN: (纸本)9789819912599

Leveraging UAVs for access and Altitude Platform Stations (HAPSs) for data backhaul to construct the Air-Ground Integrated Network (AGIN) is a feasible solution to achieve seamless network coverage for remote IoT devices in future 6G era. However, the limited battery of IoT terminals and constrained onboard energy storage of UAVs make system energy-efficiency becomes a new concern. To cope with the challenge, we propose a C-NOMA AGIN model for remote area. Then, we investigate the UAV trajectory plan problem for maximizing system energy efficiency (EE). We provide the solution to obtain the near-optimal UAV trajectory and flight speed. Results prove that the proposed approach is superior to others in terms of EE. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy efficiency

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Meta-analysis in the production chain of aquaculture: A review

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Information Processing in Agriculture 2022年第4期9卷 586-598页

作者： Guanghui Yu Chunhong Liu Yingying Zheng Yingyi Chen Daoliang Li Wei Qin National Innovation Center for Digital Fishery China Agricultural UniversityChina Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture China Agriculture University Beijing 100083China Precision Agricultural Technology Integration Research Base(Fishery) Ministry of Agriculture and Rural AffairsChina Key Laboratory of Agricultural Information Acquisition Technology Ministry of AgricultureChina Agriculture UniversityBeijing 100083China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Biological Engineering Utah State UniversityLoganUT 84341United States

Meta-analysis is a statistical analysis of the data obtained from multiple studies and pro-vides a quantitative synthesis of research *** can be a key tool for facilitating rapid progress in aquaculture by quantifying what is known and identifying what is not yet ***,due to the complexity of the environment and problems associated with the use of model in aquaculture,it remain few guidelines for the design,implementation or interpretation of meta-analysis in the field of ***,we first briefly reviewed the history of meta-analysis,then summarized the applications of meta-analysis in terms of major procedures,standards,and ***,we critically reviewed the results of meta-analysis studies in the production chain of aquaculture and identified the potentials for improving yield in both quantity and ***,there is a large room for improving yield along the production *** contributions can be found in breeding,feed,and farm *** example,improving breeding can increase yield by 5.6%to 49%,depending on fish species and type of *** study revealed large potentials for improving yield in the production chain of aquaculture and summarized the application of meta-analysis in *** recommendations of standardizing and improving meta-analysis in aquaculture were proposed.

关键词： Aquaculture Quantitative analysis Meta-analysis Production

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VFH∗ Based Local Path Planning for Mobile Robot 2

VFH∗ Based Local Path Planning for Mobile Robot

引用

2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019

作者： Chen, Wenqiang Wang, Ning Liu, Xiaofeng Yang, Chenguang Key Laboratory of Autonomous System and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou510640 China Bristol Robotics Laboratory University of the West of England BristolBS16 1QY United Kingdom Changzhou Key Laboratory of Robotics and Intelligent Technology College of Internet of Things Engineering Hohai University Changzhou213022 China

ISBN: (纸本)9781728140919

Vector Field Histogram(VFH) and its variants are effective obstacles avoidance method for mobile robots. Under the more consideration of realistic, we proposed a new local path planning method for mobile robot in this paper. The proposed method takes global path point generated by the A∗ algorithm as temporary target point and adopts the basic concepts of the VFH∗ algorithm, the difference is mainly lies in the representation of vector magnitude of the obstacles, the determination of the threshold, the selection of the candidate direction, and the definition of the node cost function in search tree. Besides, according to the optimal obstacle avoidance direction obtained in the above steps, we also give a speed control method to control the movement of the omnidirectional mobile robot to the target point. Simulation and experiment results shows that the proposed method is suited for mobile robot moving in realistic situation. © 2019 IEEE.

关键词： Mobile robots

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Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent systems with Dead Zone and Sensor Faults 42

Adaptive Neural Consensus Tracking Control for Nonlinear Mul...

引用

42nd Chinese Control Conference, CCC 2023

作者： Huang, Chengjie Chen, Ci Liu, Zhi Li, Zhenni Guangdong University of Technology Guangzhou510006 China Guangdong Key Laboratory of IoT Information Technology Guangzhou510006 China 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing Ministry of Education Guangzhou510006 China

ISBN: (纸本)9789887581543

In this paper, an adaptive neural tracking control design is investigated for uncertain multiagent systems (MASs) with actuator dead zone and sensor faults. The adaptive control technique based on neural networks is employed to handle the uncertainty in the systems, which, however, results in a bounded tracking error from most existing works. To achieve the asymptotic tracking performance, we proposed a direct adaptive strategy via the tuning function method. Technically, a Lyapunov function with a series of smooth functions is designed, which benefits proposing of an asymptotic controller. Then, under the framework of direct adaptive control, an inverse compensation scheme, as well as a fault-tolerant mechanism, are considered for disposing of the actuator dead zone and sensor failures. As a result, user-preset tracking performance is achieved and the system error in the MASs converges to a predefined range. An example in the simulation section illustrates the effectiveness of the proposed method. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Multi agent systems

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Preliminary study on the prediction of soil available potassium using an ISE sensor array

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International Agricultural engineering Journal 2016年第3期25卷 9-19页

作者： Zhang, Yajing Zhang, Miao Zhang, Linan Han, Mingming Chinese Academy of Agriculture Mechanization Sciences Beijing100083 China Key Laboratory on Modern Precision Agriculture System Integration Research Ministry of Education China Agricultural University Beijing100083 China Key Laboratory of Technology Integration and Application in Agricultural Internet of Things Ministry of Agriculture China

The extension of potassium Ion-selective electrode (ISE) was limited in saline-alkali soil analysis because of the intensive interference by the exchangeable sodium. To overcome this disadvantage, a sensor array system of two self-designed solid-state potassium ISEs and a commercial sodium ISE was investigated in the detection of soil available potassium. Three different modeling methods, including the classical Nernstian, two artificial neural network algorithms of the BP-ANN and the RBF-ANN, were employed to establish the prediction models for potassium concentration. The experimental results showed that two optimized ANN models produced the better performance than the classical Nernstian models with the R2 of 0.99, the RPD of lager than 25, and the mean absolute error of less than 6.0 mg/L in the validation of standard solutions and the tests of real soil samples, respectively. In conclusion, the sensor array could provide a possible approach for the prediction of the potassium available in saline-alkali soils.

关键词： Neural networks

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Intelligent Crop Planting Management and Quality Traceability system

Intelligent Crop Planting Management and Quality Traceabilit...

引用

第二届计算智能、工程与技术国际研讨会

作者： Xiaofen Yang Ming Sun College of Information and Electrical Engineering China Agricultural UniversityKey Laboratory of Modern Precision Agriculture System Integration ResearchMinistry of EducationKey Laboratory of Agricultural Information Acquisition TechnologyMinistry of AgricultureBeijing Engineering and Technology Research Centre for Internet of Things in Agriculture

Aiming at the farmland management problems, soil heavy metal pollutions problems and the agricultural product quality security problems, the system develops a link planting, acquisition, processing, logistics and distribution each link of intelligent crop planting management and achieves quality tracing based centralized service data gateway. This system extracts the information in real time from crop planting to agricultural product sales. It is conducive to the implementation of scientific planting and the sustainable development of agriculture, and it enables consumers to trace the quality of agricultural products. The main work of this research is as follow. The first is the construction of crop planting information management subsystem. It contains the information about field information, seeding, fertilizing, irrigation, weeding, pest controlling, spraying insecticide and harvest. The second is the construction of crop planting environmental monitoring subsystem based on sensor technology. It contains real-time environmental information in the process of crop growth, such as soil temperature and humidity, air temperatures and humidity, light intensity and video information, and it realizes remote monitoring of crops. The third is agricultural product quality traceability subsystem oriented to consumers.

关键词： Intelligent Crop Planting Management and Quality Traceability system

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