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3rd International Conference on Electronic Information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Liu, Zheng Wei, Xiong Jian, Ping Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510680449

With the surge of earth observation demands, the agile optical satellite scheduling has become a practical problem, which is hard to solve owing to the huge solution space and complex constraints. This paper proposes an agile optical satellite scheduling method based on Transformer networks to tackle this problem. A network model based on Transformer networks is proposed to generate high-quality solutions, and a masking mechanism is designed to improve the generation process. An Actor-Critic training algorithm is adopted to train the proposed network model. Experimental results show that the proposed algorithm outperforms three comparison algorithms in terms of training effect, solving ability, and computing efficiency. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Reinforcement learning

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Corrigendum to “Boric acid-regulated gelation and ethanol-assisted preparation of polybenzoxazine aerogels” [Chem. Eng. J. 486 (2024) 150228]

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Chemical Engineering Journal 2025年 506卷

作者： Jinlong Zhou Yunyun Xiao Saihui Liu Zeyu Li Xinyi Liu Sizhao Zhang Zhengquan Li International Institute for Innovation Jiangxi University of Science and Technology Nanchang 330013 PR China Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Nanchang 330013 PR China School of Energy and Mechanics Jiangxi University of Science and Technology Nanchang 330013 P.R. China

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Visualization of pairwise data: An overview 3

Visualization of pairwise data: An overview

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3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Pei, Zhong-Min Xiong, Ming-Hui Xiong, Wei Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781538642108

It is difficult for some applications to extract feature functions in the process of data visualization. Focus on the problem of large-scale pairwise data visualization, the paper first introduces and analysis the problem. Then the current mainstream methods for pairwise data visualization are analyzed. On the basis of active learning and configuration suture, the paper proposes a fast visualization method. The overall research framework, the key technologies are presented to provide some research ideas and recommendations for pairwise data visualization. © 2018 IEEE.

关键词： Data visualization

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Chlorine-induced mixed valence of CuO_(x)/C to promote the electroreduction of carbon dioxide to ethylene

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Nano Research 2023年第7期16卷 8827-8835页

作者： Xin Wang Ming Miao Bowen Tang Haotian Duan Fulong Zhu Huigang Zhang Xian Zhang Wen-jin Yin Yongzhu Fu College of Chemistry Zhengzhou UniversityZhengzhou 450001China School of Physics and Electronic Science Hunan University of Science and TechnologyXiangtan 411201China State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Qian Xuesen Laboratory of Space Technology China Academy of Space TechnologyBeijing 100094China

Electrochemical conversion of CO_(2)(CO_(2)RR)into high-value fuel is identified as one of the promising approaches to achieve carbon *** synthesis of high-efficiency CO_(2)reduction electrocatalysts with high C_(2):C_(1) selectivity remains a field of intense *** studies have shown that the presence of Cu(I)is beneficial for the reduction of CO_(2)into C_(2)***,the stable presence of Cu(I)remains controversial,especially in the negative potential *** we report a simple and easily scalable catalyst precursor Cu_(2)(OH)_(3)Cl/C,which automatically forms in-situ chlorine-doped Cu/Cu_(2)O heterointerface during *** catalyst not only exhibits a Faradaic efficiency of 33.03%but also provides a long-term stability of Cu^(+),gaining a stable electrolysis of 11 h,with an ethylene/methane ratio over *** experimental results and mechanistic studies confirm that the presence of Cl^(-)inhibits the reduction of Cu^(+),inducing the formation of Cu^(0)/Cu^(+),and reduces the reaction energy of the intermediate ^(*)CO dimerization,thereby facilitating the formation of C_(2)*** work provides a feasible way to synthesize copper ions with long-term and stable positive charge in CO_(2)RR and expands a new way to synthesize ethylene industrial products in the future.

关键词： basic copper chloride chlorine dopant mixed-phase catalysts CO_(2)reduction reaction ethylene

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Evaluation of precipitation forecasting base on GraphCast over mainland China

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Scientific Reports 2025年第1期15卷 1-13页

作者： Yan, Zihuang Lu, Xianghui Wu, Lifeng Liu, Fa Qiu, Rangjian Cui, Yaokui Ma, Xin School of Soil and Water Conservation Nanchang Institute of Technology Nanchang 330099 China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research Beijing 100038 China Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Water Resources Engineering and Management School of Water Resources and Hydropower Engineering Wuhan University Wuhan 430072 China Institute of RS and GIS School of Earth and Space Sciences Peking University Beijing 100871 China School of Mathematics and Physics Southwest University of Science and Technology Mianyang 621010 China

The accurate cumulative precipitation forecasts are essential for monitoring water resources and natural disasters. The combination of deep learning and big data has become a new direction for precipitation forecasting. However, the current large models are still lacking in-situ data verification. To accomplish this goal, the precipitation forecasting performance of a state-of-the-art model GraphCast was evaluated. Using the cumulative precipitation data from 2393 observation stations for the 1–3 day period as a reference, we assessed the cumulative precipitation in mainland China region for the 1–3 day period from 2020 to 2021, utilizing a high-resolution model with 0.25° × 0.25° grid spacing and 13 layers of parameters. The precipitation of European Centre for Medium-Range Weather Forecasts (ECMWF) was also compared. The results show that: (1) During the 2020-2021 period, for the 1-day, 2-day, and 3-day cumulative precipitation forecasts, the Root Mean Square Error (RMSE) values of GraphCast were primarily between 0.46 to 9.38 mm/d, 0.44 to 9.06 mm/d, and 0.44 to 9.06 mm/d, respectively. The Mean Error (ME) values were mainly between − 0.595 to 1.705 (0.01 mm). (2) As the forecast period extends, the forecasting capability of GraphCast declines. (3) In the 1–3 day cumulative precipitation forecasts for various stations in mainland China, GraphCast demonstrates higher predictive accuracy than ECMWF. (4) Compared to ECMWF, GraphCast demonstrated the best forecast performance in the temperate humid and semi-humid regions of Northeast China, with the RMSE being approximately 12 higher. Our study indicates that GraphCast demonstrates significant potential and higher accuracy in precipitation forecasting. © The Author(s) 2025.

关键词： Cumulative precipitation forecast ECMWF High resolution Large models

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Energy constrained multi-platform network underwater detection performance 9

Energy constrained multi-platform network underwater detecti...

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9th ACM International Conference on Underwater Networks and systems, WUWNet 2014

作者： Dong, Weijia Sheng, Xueli Jia, Lu Ling, Qing Jiang, Xu Harbin Engineering University Science and Technology on Underwater Acoustic Laboratory Harbin China Science and Technology on Complex Ship Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781450332774

Collaborative multi-platform network for underwater detection in the future have advantages like comprehensive data acquisition, highly parallel operation, better concealment, stronger antiinterference ability, more flexible configuration. The performance of multi-platform underwater network is determined by the characteristic of acoustic propagation environment, collaboration ability between sensors and the cost of the system. In order to exploit the advantages of the system and maximize the use of existing platforms, this paper studied the underwater detection performance considering the interference between each other in the energy constrained underwater acoustic channels. We summarized the relationship between the underwater detection performance and the platform number, position of platform, operating parameters, interference suppression capabilities, target heading parameters. Provide a theoretical basis for the formation of multi-platform network under the performance requirements.

关键词： Data acquisition

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Rapid Automated Mapping of Clouds on Titan With Instance Segmentation

arXiv

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arXiv 2025年

作者： Yahn, Zachary Trent, Douglas M. Duncan, Ethan Seignovert, Benoît Santerre, John Nixon, Conor A. School of Computer Science Georgia Institute of Technology AtlantaGA United States Planetary Systems Laboratory NASA Goddard Space Flight Center GreenbeltMD United States Informatio Data & Analytics Services NASA Langley Research Center HamptonVA United States School of Information University of California Berkeley BerkeleyCA United States Observatoire des Sciences de l'Univers Nantes Atlantique Osuna UAR Nantes3281 France

Despite widespread adoption of deep learning models to address a variety of computer vision tasks, planetary science has yet to see extensive utilization of such tools to address its unique problems. On Titan, the largest moon of Saturn, tracking seasonal trends and weather patterns of clouds provides crucial insights into one of the most complex climates in the Solar System, yet much of the available image data are still analyzed in a conventional way. In this work, we apply a Mask R-CNN trained via transfer learning to perform instance segmentation of clouds in Titan images acquired by the Cassini spacecraft-a previously unexplored approach to a "big data" problem in planetary science. We demonstrate that an automated technique can provide quantitative measures for clouds, such as areas and centroids, that may otherwise be prohibitively time‐intensive to produce by human mapping. Furthermore, despite Titan‐specific challenges, our approach yields accuracy comparable to contemporary cloud identification studies on Earth and other worlds. We compare the efficiencies of human‐driven versus algorithmic approaches, showing that transfer learning provides speed‐ups that may open new horizons for data investigation for Titan. Moreover, we suggest that such approaches have broad potential for application to similar problems in planetary science where they are currently under‐utilized. Future planned missions to the planets and remote sensing initiatives for the Earth promise to provide a deluge of image data in the coming years that will benefit strongly from leveraging machine learning approaches to perform the analysis. © 2025, CC BY.

关键词： Image segmentation

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Driving condition recognition for genetic-fuzzy HEV control

Driving condition recognition for genetic-fuzzy HEV control

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2008 3rd International Workshop on Genetic and Evolving Fuzzy systems, GEFS

作者： Montazeri-Gh, M. Ahmadi, A. Asadi, M. Department of Mechanical Engineering Systems Simulation and Control Laboratory IUST Systems Simulation and Control Laboratory Department of Mechanical Eng Iran University of Science and Technology Narmak Tehran 16844 Iran

ISBN: (纸本)9781424416134

This paper presents a genetic-fuzzy approach for hybrid electric vehicle control based on driving pattern recognition and prediction. In this approach, data collection in the real traffic conditions is employed for classification of several driving patterns. These driving patterns represent different traffic conditions e.g. congested, urban and so on. The analysis used for the driving pattern recognition is based on the definition of microtrips. In addition, a Markov chain modeling is used for traffic condition prediction based on the modeling of probability of the sequence of microtrips. The driving pattern prediction is then utilized for optimization of the HEV control parameters using a genetic-fuzzy approach. In this approach, a fuzzy logic controller (FLC) is designed to be intelligent so as to manage the internal combustion engine (ICE) to work in the vicinity of its optimal condition. The fuzzy membership function parameters are then tuned using the genetic algorithm (GA). Finally, simulation results are presented to show the effectiveness of the approach for reducing the HEV fuel consumption and emissions. © 2008 IEEE.

关键词： Forecasting

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Network Evaluation and Protocol Deployment for Complex Deep-space Networks Based on DTN

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China Communications 2020年第9期17卷 237-258页

作者： Guo Yu Zhenxing Dong Yan Zhu Key Laboratory of Electronics and Information Technology for Space Systems National Space Science CenterChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China

Previous research on deep-space networks based on delay-tolerant networking(DTN)has mainly focused on the performance of DTN protocols in simple networks;hence,research on complex networks is *** this paper,we focus on network evaluation and protocol deployment for complex DTNbased deep-space networks and apply the results to a novel complex deep-space network based on the Universal Interplanetary Communication Network(UNICON-CDSN)proposed by the National space science Center(NSSC)for simulation and verification.A network evaluation method based on network capacity and memory analysis is *** on a performance comparison between the Licklider Transmission Protocol(LTP)and the Transmission Control Protocol(TCP)with the Bundle Protocol(BP)in various communication scenarios,a transport protocol configuration proposal is developed and used to construct an LTP deployment scheme for *** the LTP deployment scheme,a theoretical model of file delivery time over complex deep-space networks is built.A network evaluation with the method proposed in this paper proves that UNICONCDSN satisfies the requirements for the 2020 Mars exploration mission ***,simulation results from a universal space communication network testbed(USCNT)designed by us show that the LTP deployment scheme is suitable for UNICON-CDSN.

关键词： complex deep-space network network capacity memory analysis protocol deployment testbed

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The compliance contact model of cylindrical joints with clearances

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Acta Mechanica Sinica 2005年第5期21卷 451-458页

作者： Caishan Liu Ke Zhang Lei Yang Department of Mechanics and Engineering Science State Key Laboratory of Turbulence and Complex SystemsPeking University Beijing 100871 China Chinese Academe of Space Technology Beijing 100086 China

This paper is concerned with the determination of the normal force-displacement （NFD） relation for the contact problem of cylindrical joints with clearance. A simple formulation for this contact problem is developed by modeling the pin as a rigid wedge and the elastic plate as a simple Winkler elastic foundation. The numerical results show that the normal displacement relation based on Hertz theory is only valid for the case of large clearance with a small normal load, and the NFD relation based on Persson theory is only effective in the case of very small clearance. The proposed approximate model in this paper gives better results than Hertz theory and Persson theory in a large range of clearances as seen from the comparison with the results of FEM.

关键词： Cylindrical joint with clearance .Conformalcontact. FEM

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