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International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Wenyi Xu Xiaofeng Gao Yin Sheng Guihai Chen Shanghai Jiao Tong University Shanghai China State Key Laboratory of Air Traffic Management System and Technology Nanjing China

ISBN: (数字)9781665423182

ISBN: (纸本)9781665446198

Recommendation system is a popular research field. In the age of information explosion, a reliable recommendation system is necessary for users. There are a certain number of approaches to do recommendation work. Reinforcement learning is one of the methods used in recommendation system. In this paper, we use reinforcement learning to recommend items to target users, and achieved a rather good result. To give a better user experience, we have added explanations for recommended items. The explanation is realized by Knowledge Graph. We use TransE to embed target users and items, and it helps manage the information of users and items. Our method KGDQN combines Knowledge Graph and reinforcement learning, which can decide the proper recommendation items, and find the reasoning paths from target users to recommended items. Redundant edges are pruned and the DQN model renders a reward function which gives back the result of recommended items, and the explanation paths of the recommendation. Experiments are conducted on Amazon datasets which show the superior performance of KGDQN.

关键词： Knowledge engineering Reinforcement learning Information age Cognition User experience Information management Reliability

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Research on remote intelligent control device of portable ring main unit

Research on remote intelligent control device of portable ri...

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2021 International Conference on Control Science and Electric Power systems, CSEPS 2021

作者： Zhou, Hu Mao, Changbin Liu, Bangyuan He, Wei Xiao, Qianbo Li, Qiang Wang, Qian Zhang, Yiming Beibei Power Supply Branch of State Grid Chongqing Electric Power Company Chongqing400700 China State Grid Chongqing Electric Power Research Institute Equipment Condition Evaluation Center Chongqing401120 China Chongqing University State Key Laboratory of Power Transmission Equipment System Security and New Technology Chongqing400044 China

ISBN: (纸本)9781665426183

In order to improve the safety of the distribution network, the use of electric operating mechanism for ring closing and power exchange has gradually become a necessary function of the new intelligent distribution ring main unit. However, most of the traditional ring main unit has not been equipped with electric operating mechanism due to the difficulty of transformation, and many opening and closing actions still need to be manually operated by the staff, so the personal safety of the staff can not be guaranteed. The purpose of this paper is to develop a portable universal remote intelligent control device for ring main unit, which is used to replace manual operation to complete the switching operation, so as to reduce the possibility of safety accidents. The device adopts portable and modular design, so it is easy to install and disassemble. Modular adapter design can be applied to different specifications of ring main unit in power system to ensure the operation reliability of traditional ring main unit. When the technology is mature, the device can be widely used in various types of remote control electric opening and closing operation of old ring main unit. It can improve work efficiency, avoid personnel safety risk caused by manual operation in short distance on site, and can also be used as the emergency operation device of existing new intelligent distribution ring main unit, which has a wide application prospect. © 2021 IEEE.

关键词： Remote control

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Selected Pseudo-Labelling With Class Confusion Regularization For Semi-supervised SAR Target Recognition

Selected Pseudo-Labelling With Class Confusion Regularizatio...

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IEEE International Conference on Radar

作者： Qishan He Lingjun Zhao Siqiang Zhang Gangyao Kuang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China

ISBN: (纸本)9781665468893

SAR images are highly sensitive to imaging conditions, e.g., depression angle, polarization mode and wave band. It is notable that existing enhanced structure in deep learning method does not consider domain discrepancy between training and testing data. In this paper, we employ the target domain selective pseudo-labeling to align the data distribution. To alleviate the mis-labelling issue, we introduce a novel regularization method, class confusion, the probability that neural networks misclassify the prediction between correct and ambiguous classes on target samples. Experimental results on the moving and stationary target acquisition and recognition (MSTAR) dataset can achieve state-of-the-art performance compared to other domain adaptation and model-based methods.

关键词： Training Degradation Adaptation models Target recognition Neural networks Imaging Depression

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Exploring Nanoscale Perovskite Materials for Next‑Generation Photodetectors:A Comprehensive Review and Future Directions

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Nano-Micro Letters 2025年第2期17卷 46-108页

作者： Xin Li Sikandar Aftab Maria Mukhtar Fahmid Kabir Muhammad Farooq Khan Hosameldin Helmy Hegazy Erdi Akman State Key Laboratory of Pulsed Power Laser Technology National University of Defense TechnologyHefei 230037AnhuiPeople’s Republic of China Anhui Laboratory of Advanced Laser Technology Hefei 230037AnhuiPeople’s Republic of China Nanhu Laser Laboratory Changsha 410015HunanPeople’s Republic of China Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea Department of Artificial Intelligence and Robotics Sejong UniversitySeoul 05006Republic of Korea School of Engineering Science Simon Fraser UniversityBurnabyBC V5A 1S6Canada Department of Electrical Engineering Sejong UniversitySeoul 05006South Korea Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Central Labs King Khalid UniversityAlQura’aP.O.Box 96061413 AbhaSaudi Arabia Scientific and Technological Research and Application Center Karamanoglu Mehmetbey University70100 KaramanTurkey

The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection *** materials are promising candidates for next-generation photodetectors(PDs)due to their unique optoelectronic properties and flexible synthesis *** review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures,including quantum dots,nanosheets,nanorods,nanowires,and *** a thorough analysis of recent literature,the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread *** addition,it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection *** review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability,making it a valuable resource for researchers.

关键词： Nanoscale perovskites Photodetectors Nanosheets Nanorods Nanowires Quantum dots Nanocrystals

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Land-surface processes and summer-cloud-precipitation characteristics in the Tibetan Plateau and their effects on downstream weather: a review and perspective

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National Science Review 2020年第3期7卷 500-515页

作者： Yunfei Fu Yaoming Ma Lei Zhong Yuanjian Yang Xueliang Guo Chenghai Wang Xiaofeng Xu Kun Yang Xiangde Xu Liping Liu Guangzhou Fan Yueqing Li Donghai Wang School of Earth and Space Sciences University of Science and Technology of China Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau ResearchChinese Academy of Sciences CAS Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences CAS Center for Excellence in Comparative Planetology School of Atmospheric Physics Nanjing University of Information Science and Technology State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences China Meteorological Administration School of Atmospheric Sciences Lanzhou University Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Chengdu University of Information Technology Institute of Plateau Meteorology CMA School of Atmospheric Sciences Sun Yat-sen University

Correct understanding of the land-surface processes and cloud-precipitation processes in the Tibetan Plateau(TP) is an important prerequisite for the study and forecast of the downstream activities of weather systems and one of the key points for understanding the global atmospheric movement. In order to show the achievements that have been made, this paper reviews the progress on the observations for the atmospheric boundary layer, land-surface heat fluxes, cloud-precipitation distributions and vertical structures by using ground-and space-based multiplatform, multisensor instruments and the effect of the cloud system in the TP on the downstream weather. The results show that the form drag related to the topography, land–atmosphere momentum and scalar fluxes is an important part of the parameterization process. The sensible heat flux decreased especially in the central and northern TP caused by the decrease in wind speeds and the differences in the ground-air temperatures. Observations show that the cloud and precipitation over the TP have a strong diurnal variation. Studies also show the compressed-air column in the troposphere by the higher-altitude terrain of the TP makes particles inside clouds vary at a shorter distance in the vertical direction than those in the non-plateau area so that precipitation intensity over the TP is usually small with short duration, and the vertical structure of the convective precipitation over the TP is obviously different from that in other regions. In addition, the influence of the TP on severe weather downstream is preliminarily understood from the mechanism. It is necessary to use model simulations and observation techniques to reveal the difference between cloud precipitation in the TP and non-plateau areas in order to understand the cloud microphysical parameters over the TP and the processes of the land boundary layer affecting cloud, precipitation and weather in the downstream regions.

关键词： Tibetan Plateau land-surface processes cloud-precipitation characteristics downstream effects

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Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

arXiv

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arXiv 2022年

作者： Li, Qi Shen, Ziyi Li, Qian Barratt, Dean C. Dowrick, Thomas Clarkson, Matthew J. Vercauteren, Tom Hu, Yipeng Centre for Medical Image Computing Wellcome/EPSRC Centre for Interventional and Surgical Sciences Department of Medical Physics and Biomedical Engineering University College London London United Kingdom State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China School of Biomedical Engineering & Imaging Sciences King’s College London London United Kingdom

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a tracker can be advantageous over its two-dimensional or tracked counterparts in many clinical applications. In this paper, we propose to estimate 3D spatial transformation between US frames from both past and future 2D images, using feed-forward and recurrent neural networks (RNNs). With the temporally available frames, a further multitask learning algorithm is proposed to utilise a large number of auxiliary transformation-predicting tasks between them. Using more than 40,000 US frames acquired from 228 scans on 38 forearms of 19 volunteers in a volunteer study, the hold-out test performance is quantified by frame prediction accuracy, volume reconstruction overlap, accumulated tracking error and final drift, based on ground-truth from an optical tracker. The results show the importance of modelling the temporal-spatially correlated input frames as well as output transformations, with further improvement owing to additional past and/or future frames. The best performing model was associated with predicting transformation between moderately-spaced frames, with an interval of less than ten frames at 20 frames per second (fps). Little benefit was observed by adding frames more than one second away from the predicted transformation, with or without LSTM-based RNNs. Interestingly, with the proposed approach, explicit within-sequence loss that encourages consistency in composing transformations or minimises accumulated error may no longer be required. The implementation code and volunteer data1 will be made publicly available ensuring reproducibility and further research. © 2022, CC BY.

关键词： Ultrasonics

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Time-Frequency Bandpass Filter with Nonstationary Signal Decomposition Application

Time-Frequency Bandpass Filter with Nonstationary Signal Dec...

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2021第五届机器视觉和信息技术国际会议

作者： Xiaoluo Yu Yang Yang Qingbo He Zhike Peng State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Science and Technology on Vehicle Transmission Laboratory China North Vehicle Institute

In various applications such as speech processing, underwater sound, radar application and mechanical fault diagnosis, there are large number of nonstationary signals. In order to achieve nonstationary signal decomposition, the instantaneous frequency ridge is extracted through interactive mode, and a time-frequency bandpass filter(TFBPF) method is *** method is the modified version of Intrinsic Chirp Component Decomposition(ICCD) and has the physical essence of time-frequency domain bandpass filter. The superiority and application potential of TFBPF in complex engineering signal decomposition are demonstrated through two numerical examples. In the first one, we prove that TFBPF can decompose the weak signal component directly through analyzing the vibration signal of hydraulic turbine;While in the second one, we prove that TFBPF can effectively overcome the drawbacks of ICCD through analyzing the vibration signal during the speed-up process of a complex equipment. TFBPF is still very effective even for complex signal decomposition in a strong noise environment.

关键词： Fourier filter Filter Time-Frequency Bandpass Filter with Nonstationary Signal Decomposition Application

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Deformation control method based on reaction current for soft pneumatic actuator actuated by electrochemical reactions

Deformation control method based on reaction current for sof...

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IEEE International Conference on robotics and Biomimetics

作者： Yao Xu Ting Wang Zhidong Wang State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China State Key Laboratory of Robotics Shenyang Institute of Automation Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Chiba Institute of Technology Chiba Japan

ISBN: (纸本)9781665405362

Deformation control is a key problem to soft pneumatic actuators. The existing deformation control methods are mostly based on pressure sensors and shape detection technologies, which make soft pneumatic actuators need complex structures and fabrication processes. Based on the soft pneumatic actuator we designed actuated by electrochemical reactions on a reversible proton exchange membrane fuel cell (RPEMFC) structure, we developed a deformation control method based on reaction current. With the deformation control method, the designed soft pneumatic actuator can be accurately controlled to deform to desired angles without complex structures and control system.

关键词： Pneumatic actuators Pressure sensors Fabrication Protons Shape Soft robotics Pneumatic systems

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Design and preliminary testing of a piezoelectric-based sole energy harvester

Design and preliminary testing of a piezoelectric-based sole...

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IEEE International Conference on robotics and Biomimetics

作者： Yidi Wang Xuan Zhao Qiuyu Shi Haisu Liao Xinyu Wu Fei Gao Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin Hong Kong China

ISBN: (纸本)9781665481106

Harvesting energy from the human body to replenish existing energy sources is receiving substantial attention. Recently scientists have been focusing on harvesting biomechanical energy from human feet during walking. This paper develops a piezoelectric-based sole energy harvester that is designed to be worn on the bottom of shoes to harvest energy, thus powering wearable electronic devices. Specifically, a cam with piezoelectric(PZT) stacks is mounted on the heel to scavenge energy during the heel strike. The cam can change the input's direction from the vertical direction to the horizontal direction. In addition, the output power of this part can be optimized or improved by generating a specified cam profile. A bimorph piezoelectric plate is installed on the forefoot to convert the toes' bending deformation into electricity. Herein, piezoelectric Macro Fiber Composites (MFC) are employed to capture the large deformation. Preliminary testing on a healthy subject is conducted to validate this design. The average power output of the harvester is 8.83 m W.

关键词： Legged locomotion Biomechanics Wearable computers Bending Optical fiber devices Piezoelectric devices Optical fiber testing

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PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing

arXiv

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arXiv 2025年

作者： Zhang, Yuwei Jin, Zhi Xing, Ying Li, Ge Liu, Fang Zhu, Jiaxin Dou, Wensheng Wei, Jun Affiliated with Nanjing Institute of Software Technology University of Chinese Academy of Sciences Nanjing China Key Laboratory of System Software Chinese Academy of Sciences Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Key Laboratory of High Confidence Software Technologies Peking University Ministry of Education School of Computer Science Peking University Beijing China School of Computer Science Wuhan University Wuhan China School of Intelligent Engineering and Automation Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Complex & Critical Software Environment School of Computer Science and Engineering Beihang University Beijing China

Bug fixing holds significant importance in software development and maintenance. Recent research has made substantial strides in exploring the potential of large language models (LLMs) for automatically resolving software bugs. However, a noticeable gap in existing approaches lies in the oversight of collaborative facets intrinsic to bug resolution, treating the process as a single-stage endeavor. Moreover, most approaches solely take the buggy code snippet as input for LLMs during the patch generation stage. To mitigate the aforementioned limitations, we introduce a novel stage-wise framework named PATCH. Specifically, we first augment the buggy code snippet with corresponding dependence context and intent information to better guide LLMs in generating the correct candidate patches. Additionally, by taking inspiration from bug management practices, we decompose the bug-fixing task into four distinct stages: bug reporting, bug diagnosis, patch generation, and patch verification. These stages are performed interactively by LLMs, aiming to simulate the collaborative behavior of programmers during the resolution of software bugs. By harnessing these collective contributions, PATCH effectively enhances the bug-fixing capability of LLMs. We implement PATCH by employing the powerful dialogue-based LLM ChatGPT. Our evaluation on the widely used bug-fixing benchmark BFP demonstrates that PATCH has achieved better performance than state-of-the-art LLMs. Copyright © 2025, The Authors. All rights reserved.

关键词： Computer software maintenance

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