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3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Yang, Xiaolong Deng, Hui Duan, Xuting Xia, Haiying School of Transportation Science and Engineering Beihang University Beijing100191 China State Key Lab of Intelligent Transportation System Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China China Telecom Digital City Technology Co. Ltd. Hebei China Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport Beijing100088 China

ISBN: (纸本)9789819711024

With the addition of UAVs, the perception and recognition of ground targets have also advanced significantly. UAV photography has gradually become an integral part of this field. Due to the flexibility and lightness of UAVs, they can freely adjust their height and angle. Moreover, multiple UAVs can perceive and recognize the same target from different directions, which has led to increased attention toward collaborative perception using multiple viewpoints of UAVs. Given the diverse image information captured by UAVs from various angles, heights, and environments, i.e., multi-scale conditions, this paper addresses the challenge of target detection by leveraging the Local Feature Matching with Transformer (LoFTR) approach. The paper also explains the process of coordinating transformations for different images captured by multiple UAVs to ensure data consistency and synergy. Finally, experimental validation using the VisDrone dataset demonstrates that the developed detection method can reliably and efficiently operate on targets at different angles and altitudes. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Object detection

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Vortex-induced vibration fatigue characteristics of catenary riser in multidirectional flow environment

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Zhendong yu Chongji/Journal of Vibration and Shock 2025年第12期44卷 37-47and58页

作者： Li, Xinghui Feng, Chenhan Yuan, Yuchao Guo, Li Tang, Wenyong State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai200240 China China Ship Research and Development Academy Beijing100101 China Key Laboratory of Marine Intelligent Equipment and System Ministry of Education Shanghai Jiao Tong University Shanghai200240 China

Vortex-induced vibration (VIV) under the action of ocean currents is a primary cause of fatigue damage accumulation in marine risers. In actual marine environments, the flow direction of ocean currents is not constant but exhibits characteristics of multidirectional flow. In multidirectional flows, the orientation of the plane in which the catenary riser is located has a significant impact on the VIV response. Based on a numerical prediction model for VIV and a fatigue assessment method for structures in multidirectional flows, the fatigue damages of the riser in flows with different directions and velocities were calculated, and the VIV fatigue characteristics in multidirectional flows with significant and nonsignificant seasonal differences were analyzed. The results indicate that when in-plane and out-of-plane modes coexist and compete in the response within a multidirectional flow environment, the VIV fatigue damage is relatively small. The relationship between fatigue damage and the velocity of the external flow can be approximated by a power function or a double exponential function. When seasonal differences are not significant, fatigue damage varies dramatically with changes in the orientation of the riser;when seasonal differences are significant, fatigue damage varies more smoothly with changes in the orientation of the riser. Numerical calculations show that aligning the plane in which the riser is located at a specific angle with the dominant direction of the multidirectional flow can effectively reduce the VIV fatigue damage. © 2025 Chinese Vibration Engineering Society. All rights reserved.

关键词： Fatigue damage

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Piano Concerto Source Separation Based on Speech Separation and Channel Attention

Piano Concerto Source Separation Based on Speech Separation ...

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2024 International Conference on Culture-Oriented Science and Technology, CoST 2024

作者： Liu, Jingyu Zhou, JingJing He, Xinyan He, Wei Communication University of China State Key Laboratory of Media Convergence and Communication 100024 China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism 100024 China Communication University of China School of Information and Communication Engineering 100024 China Communication University of China School of Faculty of International Media 100024 China

ISBN: (纸本)9798350380347

The Mossformer model excels in speech separation but has not been effectively applied to music source separation. Music sources have complex characteristics and higher sampling rates, making separation tasks more challenging. We addressed a rarely explored task of separating piano concerto recordings into individual piano and orchestral tracks. This process involves intricate coordination between the piano and orchestra, creating highly complex audio signals in both time and frequency domains. Our main contributions include: (1) adapting the speech separation model for the novel task of piano concerto source separation, constructing and processing a specialized dataset.(2) introducing channel attention in the separation module to dynamically adjust feature focus based on instrument characteristics, enhancing key features. Experiments on the Piano Concerto Dataset (PCD) showed improved separation performance, with a 0.22dB average Signal-to-Distortion Ratio (SDR) increase over the baseline model. © 2024 IEEE.

关键词： Source separation

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Simulation Research on Semantic Map Construction and Path Planning of UAV Based on AirSim

Simulation Research on Semantic Map Construction and Path Pl...

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第42届中国控制会议

作者： Ruotong Wu Yueting Li Jia Zhang Wenjie Chen School of Automation Beijing Institute of Technology State Key Laboratory of autonomous intelligent unmanned system

In order to meet the task requirements of autonomous navigation of UAV in the building space environment,the3 D dense mapping and path planning algorithm module of UAV is deeply *** at the problem that ORBSLAM2 algorithm based on feature point method cannot build dense maps,dense point cloud maps and octree maps(Octo-map) are constructed *** semantic segmentation and semantic information association,the construction of semantic Octo-map is *** response to the problem of multiple inflection points and obvious jitter in the path generated by the RRT algorithm,the smoothness of the path is improved by using quasi uniform cubic B-spline ***,the control scheme of UAV path tracking based on PX4 is designed,and the simulation of UAV path tracking in AirSim verifies the feasibility of path planning,which provides an effective simulation solution for the application of autonomous navigation technology of UAV.

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Research on Timbre Evaluation Method for Oral Literature

Research on Timbre Evaluation Method for Oral Literature

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2023 International Conference on Culture-Oriented Science and Technology, CoST 2023

作者： Bai, Shilei Guo, Shizhen Hu, Chaoyu Zhang, Mengfei Gao, Ying Communication University of China State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Beijing China Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9798350357998

The oral story culture of ethnic folklore is one of the important components of traditional Chinese culture, and it is of key importance to study the timbre evaluation methods of this type of audio after digital capture. This paper uses subjective timbre evaluation experiments to explore the subjective perceptual characteristics of audio signals of oral story, extracts the objective acoustic parameters of audio timbre based on human vocal principles, auditory perceptual characteristics and speech time domain features, and conducts research on objective timbre evaluation methods based on support vector regression (SVR), random forest regression (RFR), convolutional neural networks (CNN) and long short-term memory networks (LSTM). The results show that the use of feature extraction and non-linear algorithms has good results in the evaluation of oral story timbre. © 2023 IEEE.

关键词： Feature extraction

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Design and Validation of Maintenance system for Space Manipulator Grapple Fixture

Design and Validation of Maintenance System for Space Manipu...

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International Conference on Reliability, Maintainability and Safety,ICRMS

作者： Lei Zeng Ben Gao Chao Zhu Chengwei Hu Minghua Xiong Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing China Tianjin Institute of Aerospace Mechanical and Electrical Equipment Tianjin China

ISBN: (数字)9798350329988

ISBN: (纸本)9798350329995

The space manipulator plays an integral role in the assembly and construction of the China space station. The grapple fixture is positioned at designated locations on the space station as the foundation for the space manipulator. It is utilized in conjunction with the space manipulator to capture target objects and complete crawling tasks. The performance of the space manipulator is directly impacted by the grapple fixture, and a failure of the grapple fixture can even jeopardize the space station mission. This paper analyzed the maintenance requirements of the grapple fixture, proposed a maintenance system for it, and executed replacement tasks with the assistance of maintenance tools and astronauts in orbit. The feasibility of this approach is verified through ground testing and simulation analysis. The results will serve as a valuable reference and engineering guidance for future space manipulator maintenance.

关键词： Space vehicles Space missions Fixtures Manipulators Reliability engineering Orbits Maintenance Safety Space stations Testing

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A New Road Extraction Method from Satellite Images Using Genetic Programming

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Guidance, Navigation and Control 2024年第2期4卷 47-79页

作者： Jing Liang Yaxin Chang Ying Bi Caitong Yue Boyang Qu Mengnan Liu School of Electrical and Information Engineering Zhengzhou University ZhengzhouP.R.China School of Electrical Engineering and Automation Henan Institute of Technology XinxiangP.R.China State Key Laboratory of Intelligent Agricultural Power Equipment Luoyang P.R.China School of Electronic and Information Zhongyuan University of Technology ZhengzhouP.R.China State Key Laboratory of Power System of Tractor Luoyang P.R.China

Extracting roads from satellite images is an important task in thefield of computer vision with a wide range of ***,efficient road extraction from satellite images remains a complex challenge due to issues such as data labeling and the diversity of road *** methods often struggle to balance accuracy,robustness,and *** programming(GP)is based on aflexible and interpretable structure that is robust and does not require a large amount of data *** position the road extraction problem as a binary semantic segmentation task and introduce GP ***,an approach for extracting pixel neighborhood features is proposed,and features from multiple images in the DeepGlobe road extraction dataset are ***,an advanced feature construction method based on GP is ***,these advanced features are utilized for training classifier and classi-fication to achieve road *** have validated the effectiveness of the approach on the DeepGlobe road extraction *** results demonstrated that the proposed approach exhibits superior performance compared to traditional classification methods and multilayer perceptron(MLP)in terms of accuracy,generalization,and *** study provides a valuable reference for the integration of GP into the domain of road extraction from satellite images,showcasing their potential to enhance the accuracy and efficiency.

关键词： Road extraction genetic programming feature construction

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Emergency control methods for power systems based on improved deep reinforcement learning 6

Emergency control methods for power systems based on improve...

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2024 6th International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2024

作者： Zhang, Jie Zhu, Yihua Liang, Zhuohang Ma, Qinfeng Zhang, Qingqing Liu, Mingshun An, Su Pu, Qingxin Dai, Jiang State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangdong Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangdong Guangzhou510663 China Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou Guiyang550000 China

In order to achieve fast and accurate transient stability analysis and emergency control, this paper proposes a transient stability emergency control method based on improved deep reinforcement learning. In order to fully explore the temporal and spatial variation trend of transient response, a multi-dimensional feature containing information such as transient situation energy is constructed, and the deep reinforcement learning model is transformed based on the time-space graph neural network. On this basis, an emergency control model is constructed, and the power grid knowledge is integrated into the emergency control decision-making scheme to reduce the exploration of invalid decision-making and improve the performance of the model. The effectiveness of the proposed method is verified in the IEEE-39 system. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Deep reinforcement learning

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Sensing and Communication Integrated Optimization for Multi-Spectral Electric Equipment Monitoring

Sensing and Communication Integrated Optimization for Multi-...

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2023 IEEE International Symposium on Broadband Multimedia systems and Broadcasting, BMSB 2023

作者： Yao, Zijia Wang, Zhao Zhang, Zhifeng Shu, Yiling Liao, Haijun Zhou, Zhenyu North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China State Grid Smart Grid Research Institute Co. Ltd Electric Power Intelligent Sensing Technology Laboratory of State Grid Corporation Beijing102222 China

ISBN: (纸本)9798350321524

Electric equipment monitoring is essential to ensure the secure operation and maintenance in high-voltage substations. To support accurate electric equipment monitoring, multi-spectral technology is emerging as an advanced method. Unmanned aerial vehicle (UAV) equipped with multi-spectral imaging camera can provide intelligent monitoring through the data sensing and communication. In this paper, we focus on the integrated sensing and communication joint optimization problem. The objective is to maximize the average amount of image data sensed by UAV through jointly optimizing sensing and communication, i.e., image acquisition frequency, image depth, and transmission power. We propose a deep Q network-based integrated sensing and communication joint optimization algorithm for multi-spectral electric equipment monitoring named DIGITAL to solve it. DIGITAL can learn optimal monitoring strategy under complex and dynamic environment of high-voltage substations. Moreover, DIGITAL also realizes energy awareness through the dynamic adjustment of optimization strategy based on energy consumption as well as harvested energy. The superiority of DIGITAL is verified through simulations. © 2023 IEEE.

关键词： Energy utilization

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Research on Active Support Control Strategy and its Performance of Renewable Energy Power Station with Multiple Energy Sources 7

Research on Active Support Control Strategy and its Performa...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zeng, Guanming Tu, Liang Zhu, Yihua Hu, Yun Luo, Chao Li, Shengnan State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan Kunming China

ISBN: (纸本)9798350345094

The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability of power system and the efficient consumption of renewable energy nowadays. To improve the performance of renewable energy power station (REPS), based on the analysis of typical active support control logic and relative performance requirements of REPS with single energy source (SES), an active support control strategy and coordinated control logic of active power of REPS with multiple energy sources (MES) are proposed in this paper. The performance of proposed strategy is theoretically analyzed from the aspect of dominant energy source and the effect of the capacity of energy storage. The effectiveness of the proposed strategy and the accuracy of the theoretical analysis of performance are verified by realtime simulation. © 2023 IEEE.

关键词： Renewable energy

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