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2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Lin, Wenxiang Liu, Desheng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781665428767

With the improvement of computer computing power, the shortcomings of the computational inefficiency of the genetic mining algorithm are compensated, and the genetic mining become a research hotspot. In this paper, for the Evolutionary Tree Miner (ETM) algorithm in noise processing can not find the low-frequency effective path and remove the shortage of noise, an ETM fusion algorithm based on log classification is proposed. The algorithm performs process model mining for high-frequency and low-frequency logs separately, and get model fusion based on alignment ideas, Eventually mining the complete process model. Through the simulation of event log data verification, the improved algorithm achieves more complete process model mining than the original ETM algorithm. © 2021 IEEE.

关键词： Trees (mathematics)

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Construction and Application of Knowledge Graph of Weapon and Equipment System of systems

Construction and Application of Knowledge Graph of Weapon an...

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2021 International Conference on Electronic Information Engineering and Computer science, EIECS 2021

作者： Li, Xiao Liu, Desheng Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665416740

In the context of diversified types of weapon and equipment and massive data quantification, how to model and store, manage and apply the data of various types of weapon and equipment is a problem that needs to be solved. The article analyzes the characteristics of the weapon and equipment system and proposes a method to construct the knowledge graph of the weapon and equipment system based on this method, which first constructs the ontology in the top-down order, then defines the edge nodes and fills in the structured data. Finally, the application is carried out according to the constructed knowledge graph, and the future development direction is proposed. © 2021 IEEE.

关键词： Information management

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A deep optimization Algorithm for calculation of the flight trajectory of the launch vehicle

A deep optimization Algorithm for calculation of the flight ...

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2022 International Symposium on Control Engineering and Robotics, ISCER 2022

作者： Liu, Zhaoyang He, Xinhua Sun, Haipeng Zhang, Jingying Luo, Rubin Wang, Lin Qi, Junqing Zhang, Fengzhe Beijing Institute of Astronautical Systems Engineering China China Academy of Launch Vehicle Technology Science and Technology on Space Physics Laboratory Beijing100076 China

ISBN: (数字)9781665484787

ISBN: (纸本)9781665484787

With the development of modern technology and application requirements, the launch platforms of the launch vehicle are gradually diversified and the flight trajectories are gradually complicated. The traditional basic calculation algorithms cannot meet the fast calculation requirements of the flight trajectories. Based on the traditional flight trajectory integration method and the classical Newton iteration algorithm, the iterative calculation time and calculation accuracy are optimized respectively, the adaptive optimal algorithm and the adaptive deviation increment algorithm are derived, a deep optimization algorithm for the calculation of the flight trajectory of launch vehicle is proposed. The simulation calculation and verification results show that the deep optimization algorithm can increase the average iterative calculation time to 1/40, that is, improve the calculation speed of the flight trajectory. At the same time, it can ensure the same accuracy as the traditional algorithm. © 2022 IEEE.

关键词： Optimization

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Leader-Follower Estimation and Cooperative Guidance with Incomplete Information 1

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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Wang, Weilin Dong, Wei Deng, Fang Wang, Chunyan Wang, Jianan Guo, Xiaoming Chen, Anhong School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Science and Technology on Space Physics Laboratory Beijing100076 China

ISBN: (数字)9789819733408

ISBN: (纸本)9789819733392

This paper investigates the cooperative estimation and guidance problem to realize the simultaneous attack with incomplete information. First, the leader-follower guidance strategy with unilateral communication and bearing-only measurements is constructed for better survivability and lower cost. Then, a leader-follower estimation method based on the extended Kalman filter (EKF) is put forward for followers to obtain guidance information for impact-time consensus. Furthermore, guidance laws for both the leader and followers are presented to realize the simultaneous attack with impact angle constraints. Finally, numerical simulations are provided to show the effectiveness of the proposed results. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Extended Kalman filters

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Target Identity Fusion Method Based on Improved DS Evidence Theory

Target Identity Fusion Method Based on Improved DS Evidence ...

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Electronic Information Engineering and Computer technology (EIECT), International Conference on

作者： Yi Wang Desheng Liu Yang Yang Jiatong Liu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Space Engineering University Beijing China

Target data detected by multi-sensors often differ from each other due to different sensor performances, resulting in uncertainty of target identity information. Traditional Dempster-Shafer (DS) evidence theory may achieve counter-intuitive outcomes facing evidence conflicts caused by the uncertainty. Aiming for this, a novel target identity fusion method based on improved DS evidence theory is proposed in this paper. Specifically, the method considers the correlation between evidences and the importance of evidences integrally. First, an improved conflict measurement method based on Pearson correlation coefficient matrix is devised to measure the evidence credibility. Next the information volume of evidences is measured by Deng-entropy to indicate the evidence uncertainty. Then the credibility and uncertainty are weighted and combined to modify the basic probability assignment (BPA) of evidences. Ultimately, the modified evidences are fused by Dempster’s combination rule to acquire the final results. Through three numerical analysis examples, this paper demonstrates the superiority of the proposed method over typical previous approaches, which can effectively process evidence conflicts in multi-sensors information fusion.

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Integrated Modeling of the James Webb space Telescope: Pre-Launch Predictions, Flight Performance and Lessons Learned 13

Integrated Modeling of the James Webb Space Telescope: Pre-L...

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Optical Modeling and Performance Predictions XIII 2023

作者： Levine, M. Mosier, G. Walsh, Greg Blaurock, Carl Hartig, George Jet Propulsion Laboratory California Institute of Technology United States NASA Goddard Spaceflight Center United States Nightsky Systems United States Space Telescope Science Institute United States

ISBN: (纸本)9781510665422

Because of its size and complexity, the Observatory performance of the James Webb space Telescope (JWST) in its operating condition was primarily verified by analysis prior to launch, breaking the standard NASA paradigm of test-as-you-fly. Most of the requisite analytical predictions were achieved through Integrated Modeling which combines models of the various physics and subsystem behaviors affecting system-level performance: thermal, jitter, structures thermal distortion, gravity release and alignments, optics, wavefront sensing and control, attitude control, straylight and launch loads analysis. We will briefly describe the process by which models were managed, constructed, verified, validated, and used to support the analyses. We will address how uncertainties were accounted for given the many unknowns of the nanometric performance of the first-of-its-kind large deployable cryogenic precision optics in space. Finally, we will compare the pre-flight predictions to actual performance on-orbit for several key analysis use cases and conclude with lessons learned for future missions. The term "jitter" is often synonymous with high-frequency, uncompensated contributions to line-of-sight (LOS) stability or image motion. For the James Webb space Telescope (JWST) mission, this working definition was extended to include dynamic contributions to wavefront error (WFE). Pre-launch verification of on-orbit jitter performance was not possible via testing, therefore high-fidelity end-to-end modeling was needed for credible verification-by-analysis. The jitter analysis was a main thrust of the overall JWST Integrated Modeling effort and was supported by a robust model verification and validation activities. Following launch, during the latter stages of the 6-month commissioning phase, LOS measurements were obtained and compared to the pre-launch predictions, then to a set of revised predictions. Here we present the modeling methodology supporting the jitter analysis, the pre- a

关键词： Wavefronts

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Architecture transformation research on joint border defense systems-of-systems 2021

Architecture transformation research on joint border defense...

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2021 5th International Conference on Management Engineering, Software Engineering and Service sciences, ICMSS 2021

作者： Zhang, Mengmeng Yi, Shuanghui Lin, Menglong Chen, Honghui Science and Technology on Information Systems Engineering Laboratory China National Key Laboratory for Complex System Simulation China

ISBN: (纸本)9781450389709

Currently, with the deepening of development and open of China's border, issues of border joint defense become increasingly arduous. Traditional means of cooperation and coordination are far from being able to align requirements;information systems of different joint defense units are difficult to interconnect and interoperate;the previous results of joint defense informatization are difficult to inherit. The main reason is the lack of border joint defense information construction with a top-level design approach. Via the lens of top-level design, this paper establishes a multi-viewpoint architecture framework and transformation process, develops the as-is and to-be joint defense architecture, and finally analyzes transformation principles from the as-is architecture to to-be architecture. This paper mainly explores the architecture transformation mechanisms under the border joint defense scenario. © 2021 ACM.

关键词： Architecture

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Deep Domain Decomposition Methods:Helmholtz Equation

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Advances in Applied Mathematics and Mechanics 2023年第1期15卷 118-138页

作者： Wuyang Li Ziming Wang Tao Cui Yingxiang Xu Xueshuang Xiang School of Mathematics and Statistics Jilin National Applied Mathematics Center at NENUNortheast Normal UniversityChangchunJilin 130024China NCMIS LSECAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Qian Xuesen Laboratory of Space Technology China Academy of Space TechnologyBeijing 100094China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

This paper proposes a deep-learning-based Robin-Robin domain decomposition method(DeepDDM)for Helmholtz *** first present the plane wave activation-based neural network(PWNN),which is more efficient for solving Helmholtz equations with constant coefficients and wavenumber k than finite difference methods(FDM).On this basis,we use PWNN to discretize the subproblems divided by domain decomposition methods(DDM),which is the main idea of *** paper will investigate the number of iterations of using DeepDDM for continuous and discontinuous Helmholtz *** results demonstrate that:DeepDDM exhibits behaviors consistent with conventional robust FDM-based domain decomposition method(FDM-DDM)under the same Robin parameters,i.e.,the number of iterations by DeepDDM is almost the same as that of *** choosing suitable Robin parameters on different subdomains,the convergence rate is almost constant with the rise of wavenumber in both continuous and discontinuous *** performance of DeepDDM on Helmholtz equations may provide new insights for improving the PDE solver by deep learning.

关键词： Helmholtz equation deep learning domain decomposition method plane wave method

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Dual-modal Motion of Magnetically Controlled Soft Microrobots with Environmentally Responsive Reversible Deformation 24

Dual-modal Motion of Magnetically Controlled Soft Microrobot...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Xin, Zhengyuan Wu, Anping Bai, Kailun Yang, Haotian Lin, Kaijun Shi, Qing Wang, Huaping Hou, Yaozhen Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing China School of Medical Technology Beijing Institute of Technology Beijing China Science and Technology on Space Physics Laboratory Beijing China School of Mechatronical Engineering Beijing Institute of Technology Beijing China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9798400710681

Soft microrobots have garnered attention in the biomedical field due to their ability to access hard-to-reach regions within living organisms for precise manipulation. However, the inability to alter the stable morphology after design and fabrication remains a pressing issue for existing soft microrobots. This limitation results in a fixed range of locomotion modes, thereby restricting the diversity of operational environments. Addressing this challenge, this study proposes and designs a biocompatible X-shaped soft microrobot that achieves alterable stable morphologies through an innovative mechanism. We developed a deformable soft hydrogel robot based on alginate gel’s ability to reversibly swell in response to ion concentration changes. Based on the deformation characteristics of this microrobot, we have designed undulating and rolling locomotion modes that are suitable for different morphologies, along with their corresponding magnetic field manipulation systems, enabling multi-morphology locomotion of the robot. Experimental validations demonstrate that the designed flexible microrobot can achieve a deformation deflection angle of up to 150° under manipulation. This robot not only performs forward undulating locomotion in its expanded state but also executes rolling motion in its spherical configuration, exhibiting high locomotion flexibility and adaptability. © 2024 Copyright held by the owner/author(s).

关键词： Microrobots

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Improved Ductility by Reducing Powder Size in Laser Powder Bed Fusion of AlSi10Mg

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Additive Manufacturing Frontiers 2024年第1期3卷 160-172页

作者： Fuzhong Chu Haopeng Shen Jianwen Li Juan Hou Kai Zhang Zongyan Zhou Yuman Zhu Xinhua Wu Aijun Huang ARC Research Hub for Computational Particle Technology Department of Chemical and Biological EngineeringMonash UniversityClaytonVIC 3800Australia Monash Centre for Additive Manufacturing Monash UniversityNotting HillVIC 3168Australia Department of Materials Science and Engineering Monash UniversityClaytonVIC 3800Australia School of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai200093China Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and TechnologyNanchang330013China

Strict control of powder properties,especially particle size distribution(PSD),is critical in the laser powder bed fusion(LPBF)process to ensure the quality of the fabricated *** work shows that reducing the powder size could improve the ductility of LPBF fabricated *** tensile elongation increased from 4.1%to 8.8%when AlSi10Mg powder sizes(D50 value)decreased from 76μm to 16μm in the as-fabricated *** results showed that fine powder size stimulates epitaxial grain growth due to excessive *** presence of epitaxial columnar grains makes the crack path across inner melt pools more frequent and travels from the coarse melt pool zones to the fine melt pool *** work suggests that powder size is a crucial factor to be considered in maintaining repeatable mechanical properties in LPBF processes,particularly when ductility and ductility-dominated properties are critical.

关键词： Particle size distribution Laser powder bed fusion Ductility Epitaxial columnar grain

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