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21st International Conference on Optical communications and Networks, ICOCN 2023

作者： Xie, Wenping Liang, Qiwen Liang, Yongchun Li, Tianfu Zhang, Hongying Dong, Yongkang Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangzhou510080 China Harbin University of Science and Technology Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin150080 China Harbin Institute of Technology National Key Laboratory of Science and Technology on Tunable Laser Harbin150001 China

ISBN: (纸本)9798350343502

This article presents a novel distributed forward stimulated Brillouin scattering measurement scheme on polarization maintaining fiber (PM fiber) with a spatial resolution of 0.8 m named polarization separation assisted opto-mechanical time-domain analysis (PS-OMTDA). The activation pulse is injected into the fast axis and the probe pulse and probe wave is injected into the slow one, therefore, the acoustic wave is excited upon the fast axis but affected the probe wave on the slow axis. The backward Brillouin scattering of an activation pulse is effectively suppressed by isolating the acoustic activation and probing process. A spatial resolution of 80 cm is experimentally demonstrated over a PM fiber with a length of 34 m. © 2023 IEEE.

关键词： Probes

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Combined Model Predictive control for Geosynchronous Satellite Station Keeping Using Electric Propulsion

Combined Model Predictive Control for Geosynchronous Satelli...

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第42届中国控制会议

作者： Heng Shi Xiaoxiang Liu Shuo Wang Ji Mai Beijing Institute of Control Engineering Beijing Aerospace Institute for Metrology and Measurement Technology

Novel combined model predictive control method is presented,which includes long-term trajectory planning,outer-loop model predictive trajectory and angular momentum control,and inner-loop attitude ***,the influence of long-period perturbation characteristics on long term station keeping of geosynchronous satellite is fully considered,and the station keeping trajectory is optimized for 3 months to 6 ***,taking the long-term planning results as the reference trajectory and considering the engineering constraint model,the outer-loop control is realized within 7 days to 14 days,so that the position trajectory meets the planning expectations and meets the requirements of orbit and angular momentum optimal *** inner loop control adopts the attitude control method considering the continuous torque effect of small thrust,so as to meet the requirements of real-time angular momentum and attitude control with higher *** method has been successfully verified by on-orbit flight tests,showing the characteristics of high control accuracy,high fuel utilization efficiency,and being adaptive to various engineering constraints.

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engineering Vehicle Recognition and Multi-Object Tracking System based on YOLOv5 and DeepSort Algorithm 23

Engineering Vehicle Recognition and Multi-Object Tracking Sy...

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Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing

作者： Yanbo Wu Xintao Liang Quan Cui Qingyan Wang Heilongjiang Government Affairs Big Data Center China School of Measurement-Control and Communication Engineering Harbin University of Science and Technology China School of Electronics and Information Engineering Harbin Institute of Technology China

ISBN: (纸本)9798400709272

This study explores traditional object detection algorithms and deep neural network-based engineering vehicle detection algorithms. We applied preprocessing algorithms such as image denoising, enhancement, and edge detection to process the images and constructed our own trainable dataset through labeling. Next, we used the YOLOv5 algorithm, which has high detection accuracy and real-time capability, for engineering vehicle detection. To address the issues of missed targets and predicted bounding box misalignment, we introduced the DeepSORT algorithm for target prediction and tracking. This algorithm utilizes Kalman filtering for estimation and updates and employs the Hungarian algorithm to associate data between consecutive frames, thereby achieving engineering vehicle tracking. To tackle the problem of frequent identity switching due to camera motion and non-uniform vehicle movements, we adopted the modified GIoU to calculate the intersection over union between trajectories and detected target bounding boxes, reducing identity jumps during the tracking process. Finally, we designed an engineering vehicle detection and tracking system and applied this algorithm to practical production.

关键词： DeepSORT algorithm YOLOv5 algorithm engineering vehicle detection multi-object tracking real-time detection

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Gated Fusion and Dual Attention Network for Road Extraction from Satellite Imagery 8

Gated Fusion and Dual Attention Network for Road Extraction ...

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8th International Conference on Image, Vision and Computing, ICIVC 2023

作者： Wang, Haijuan Bai, Lin Ji, Bo Shen, Jiaming Jin, Ying Ye, Fei Zhu, Chunlin School of Electronics and Control Engineering Chang'An University Xi'an China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd. Hangzhou China Xi'An Aeronautics Computing Technique Research Institute Xi'an China

ISBN: (纸本)9798350335231

Automatic recognition and extraction of roads from high-resolution satellite images is a crucial task in remote sensing and computer vision. With the continuous development of remote sensing technology, more ground object information is contained in images, making it more challenging to extract roads due to increased interference. This paper proposes a gated fusion and dual attention network with an encoder-decoder structure to address this problem. The full-stage gated fusion module in skip connection selectively fuses feature maps of different scales using the Gated Fusion (GFF) unit, which increases the receptive field of the network and improves the accuracy of road extraction. The context extraction and dual attention module introduce rich global information and simultaneously weights features from both spatial and channel dimensions. This improves the semantic segmentation problem caused by focusing only on local information in current road extraction models. Experimental results on two public datasets show that GFDANet can effectively extract roads in complex scenes. © 2023 IEEE.

关键词： Roads and streets

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Coordinated and Optimized Scheduling of Integrated Energy System Based on Improved Beluga Algorithm 9th

Coordinated and Optimized Scheduling of Integrated Energy Sy...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Zhang, Zhuanqin Wang, Hui Xiao, Jieping Zhou, Weichao Zhao, Zijun Guan, Baojin School of Electrical Engineering and Information Technology Changchun Institute of Technology Changchun130012 China National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology Changchun130012 China State Grid Jilin Electric Power Co. Ltd. Yanbian Power Supply Company Yanbian133000 China Jilin Institute of Chemical Technology Jilin132022 China

ISBN: (纸本)9789819616701

In order to solve the problems of low energy utilization, high carbon emission and poor economic benefit of integrated energy system, this paper proposes an improved beluga algorithm to realize coordinated and optimal dispatching of integrated energy system. Firstly, the operation framework of the integrated energy system is built, and the two-stage electricity-to-gas model and carbon trading mechanism model were constructed. Secondly, the improved Moby Dick algorithm is used to optimize the comprehensive energy system. Finally, the matlab2021a+gurobi solution environment is used to verify the solution. The results show that the proposed algorithm can effectively improve the energy utilization rate of the system, while ensuring the low carbon and economy of the integrated energy system. © State Grid Electric Power 2025.

关键词： Low emission

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Optimal design of middle-wavelength infrared dual field-of-view optical system 3

Optimal design of middle-wavelength infrared dual field-of-v...

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3rd International Computing Imaging Conference, CITA 2023

作者： Peipei, Yan Huaili, Zhang Kai, Liu Kai, Jiang Jing, Duan Qiusha, Shan The Photoelectric Measurement and Control Technology Research Department Xi’an Institute of Optics and Precision Mechanics Chinese Academy Sciences Xi’an710119 China Space Engineering University Beijing101416 China

ISBN: (纸本)9781510671409

A middle infrared dual field-of-view(FOV) optical system with staring focal plane array and reimaging optics is presented for cool 640×512 detector. Based on zoom system principle and optical design software, the Modulation Transfer Function (MTF)curve, spot diagram, and the encircled energy are *** design results show that this system can realize 300mm/600mm dual field-of-view at the spectrum region of 3.7～4.8um and the F number of 4, which can obtain the cold shield efficiency of 100% and the MTF more than 0.2 at the spatial frequency of 33lp/*** optical system is analyzed in two modes of long focal length and short focal length, results show that it has the advantages of simple structure, high image quality, low price and easy to adjustment. © 2023 SPIE.

关键词： Optical systems

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A Two-Stage Robust Scheduling Strategy for Multi-Energy Microgrid Considering Multiple Uncertainties 8

A Two-Stage Robust Scheduling Strategy for Multi-Energy Micr...

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8th International Conference on Power Energy Systems and Applications, ICoPESA 2024

作者： Zhang, Sen Hu, Weihao Cao, Xilin Zhao, Yincheng Liu, Rundong Ma, Haojie Zhan, Wei Li, Mingxuan School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control Chengdu China School of Management and Economics Beijing Institute of Technology Beijing China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (纸本)9798350351668

To achieve the economic operation of a multi-energy micro grid under multiple uncertain environments, this study introduces a novel two-stage robust scheduling approach, encompassing both day-ahead planning and real-time adjustments. First, the multi-energy micro grid day-ahead economic dispatch model is constructed based on the prediction scenarios, and integrated demand response is considered to increase the flexibility of the system. Afterwards, the strategy is adjusted in the real-time phase, considering the uncertainty of energy production and consumption. The Column-and-Constraint Generation algorithm is employed to resolve the above two-stage issues effectively, and the optimal economic operation strategy of the MEMG is obtained. Finally, a case study demonstrates the economy and robustness of the proposed methodology. © 2024 IEEE.

关键词： Demand response

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Design and Implementation of Coal Mine Monitoring Networking System Based on Service-Oriented Architecture 8

Design and Implementation of Coal Mine Monitoring Networking...

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8th Annual International Conference on Network and Information Systems for Computers, ICNISC 2022

作者： Chen, Yunqi Xu, Jin Measurement and Control Technology Research Institute China Coal Technology Engineering Group Chongqing Research Institute Chongqing China School of Big Data & Software Engineering Chongqing University Chongqing China

ISBN: (纸本)9781665453516

Coal is the most important basic energy supporting the development of the national economy, safe production and effective supervision and management are of great significance. Currently, the coal mine safety monitoring system can be monitored locally, but it cannot help the supervision department to realize the remote supervision and centralized supervision. Establishing a corresponding coal mine safety monitoring network system has become a urgent need of coal mine safety supervision. In the paper, we first study the service-oriented architecture(SOA), and describes the windows communication foundation(WCF) technology, the technology is a main way to achieve SOA architecture. Then combined with WCF technology, the function and logic structure of coal mine safety monitoring network system are designed. Finally, the network system of mine monitoring system based on SOA was realized in the background of a mine monitoring system networking project of a company. © 2022 IEEE.

关键词： Coal mines

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Review of X-ray pulsar spacecraft autonomous navigation

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Chinese Journal of Aeronautics 2023年第10期36卷 44-63页

作者： Yidi WANG Wei ZHENG Shuangnan ZHANG Minyu GE Liansheng LI Kun JIANG Xiaoqian CHEN Xiang ZHANG Shijie ZHENG Fangjun LU College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China Beijing Institute of Control Engineering Beijing 100080China Beijing Institute of Tracking and Communication Technology Beijing 100091China Aerospace Information Research Institute Chinese Academy of ScienceBeijing 100091China Academy of Military Science Beijing 100091China National Innovation Institute of Defense Technology Academy of Military ScienceBeijing 100091China

This article provides a review on X-ray pulsar-based navigation(XNAV).The review starts with the basic concept of XNAV,and briefly introduces the past,present and future projects concerning *** paper focuses on the advances of the key techniques supporting XNAV,including the navigation pulsar database,the X-ray detection system,and the pulse time of arrival ***,the methods to improve the estimation performance of XNAV are ***,some remarks on the future development of XNAV are provided.

关键词： Estimation of pulse time of arrival Spacecraft autonomous navigation X-ray detection X-ray pulsar-based navigation X-ray pulsar signal processing

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Improved Target Detection Through DNN-Based Multi-Channel Interference Mitigation in Automotive Radar

IEEE Transactions on Radar Systems

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IEEE Transactions on Radar Systems 2023年 1卷 75-89页

作者： Chen, Shengyi Klemp, Marvin Taghia, Jalal Kühnau, Uwe Pohl, Nils Martin, Rainer Institute of Communication Acoustics Ruhr-Universität Bochum Bochum44780 Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe76131 Germany HELLA Aglaia Mobile Vision GmbH Berlin12109 Germany HELLA GmbH & Co. KGaA Lippstadt59555 Germany Institute of Integrated Systems Ruhr-Universität Bochum Bochum44801 Germany

Deep learning methods have triggered significant progress in automotive radar-based object detection and classification. However, with an increasing number of radar sensors on the road, mutual interference is unavoidable since these sensors share the same frequency spectrum. Mutual interference affects the robustness of radar processing schemes and thereby the object detection accuracy. Unlike many recent works which focus on interference mitigation for a single receive channel, this paper proposes a multi-channel mitigation approach and seeks to analyze the effect of mutual interference in a multiple-input multiple-output (MIMO) radar. To this end, we first formulate a general signal model for multi-channel interference scenarios. Then, a novel signal separation neural network is proposed for multi-channel interference mitigation which eliminates the efforts of interference detection. We assess the impact of interference in terms of the reconstruction error, angle estimation error, and the target detection accuracy in both real-world and simulated interference scenarios. It is demonstrated that the proposed neural network can provide superior signal recovery, massively reduces the false-positive rate, and significantly improves the accuracy of object detection even in the presence of severe interference. © 2023 IEEE.

关键词： Object detection

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