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2012 7th International Conference on System of systems Engineering, SoSE 2012

作者： Zhang, Yingchao Beijing Institute of System Engineering Science and Technology on Complex Systems Simulation Laboratory Beijing China

ISBN: (纸本)9781467329750

Complexity in System of systems (SoS) is a key factor in SoS decision making. This paper analyzes the main characteristics of SoS, especially its complexity in terms of monolithic emergence, component systems adaption and uncertainty in SoS evolution. It further discusses the effects of SoS complexity on SoS decision making. In light of SoS complexity, the paper figures out the major problems that need to be addressed in four areas, namely SoS adaption, abnormity analysis in SoS evolution, exploratory analysis of SoS capability and SoS simulation. In conclusion the paper proposes a preliminary SoS decision making model based on the analysis of SoS adaption. © 2012 IEEE.

关键词： System of systems

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Research on a Highly Sensitive SAW Strain Sensor Based on a Beam-plate Structure

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Zheng, Yinrong Liang, Xiaorui Dong, Helei Zhang, Juan Luo, Zhonghai Lu, Meimei Qin, Yongqiang Tan, Qiulin North University of China Key Laboratory of Micro/nano Devices and Systems Ministry of Education Tai Yuan030051 China Taiyuan Institute of Technology Department of Mechanical Engineering Taiyuan030008 China Science and Technology on Space Physics Technology Laboratory Beijing100076 China

Real-time monitoring of component deformation under conditions of elevated temperature and high rotational speeds is essential for maintaining the structural integrity and operational safety of machinery. Conventional Surface Acoustic Wave (SAW) strain sensors exhibit limitations, including insufficient operating temperature capabilities and reduced measurement accuracy, which hinder their applicability under extreme conditions. This study developed a highly sensitive SAW strain sensor based on Langasite (LGS) and a beam-plate structure. The fabrication process employed a double-sided lithography wet etching technique to produce a beam-plate structure with a smooth surface, achieving a surface roughness of 0.945 nm — an 88.9% reduction from the roughness of 8.53 nm typically obtained using single-sided lithography. Interdigital electrode patterns were etched onto both the beam-plate and conventional LGS substrates using Micro-Electro-Mechanical systems (MEMS) technology. The sensor was evaluated on a custom-designed high-temperature strain test platform. The results demonstrated that the beam-plate type SAW strain sensor operated stably across a temperature range of 25 °C-850 °C and a strain range of 0-1600 μƐ. The sensor exhibited a sensitivity of 550 Hz/μƐ at room temperature, which was approximately 3.14 times higher than that of conventional SAW sensors. Under the concurrent effects of temperature and strain at elevated temperatures, a temperature-strain decoupling algorithm was developed, yielding a maximum error between the decoupled and measured values ranging from -4.4% to +4.3%. The beam-plate type SAW strain sensor is characterized by its high sensitivity, excellent temperature resistance, rapid response time, and robust anti-interference properties. Thus, the proposed sensor is well-suited for applications in advanced fields such as aerospace, highend equipment, and other high-precision domains. © 1963-2012 IEEE.

关键词： Wet etching

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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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Influence of the road grade on the optimization of fuzzy-based hybrid electric vehicle control strategy

Influence of the road grade on the optimization of fuzzy-bas...

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Powertrain and Fluid systems Conference and Exhibition

作者： Montazeri-Gh, Morteza Asadi, Mohammad Systems Simulation and Control Laboratory Mechanical Engineering Department Iran University of Science and Technology Iran

This paper describes a methodological approach for the investigation of the influence of the road grade on the optimization of the HEV control strategy. In this study, the genetic-fuzzy control strategy for the HEV power flow management is employed. The genetic-fuzzy control strategy is a fuzzy control strategy which is tuned offline using the genetic algorithm (GA). In this approach, the optimal selection of the fuzzy control parameters is formulated as a constrained optimization problem. In addition, the objective is defined to minimize the vehicle fuel consumption and emissions while satisfying the driving performance *** tuning process is performed for TEH-CAR driving cycle taking the grade into account. TEH-CAR is a driving cycle that is developed based on the experimental data collected from the real traffic conditions. The simulation results show the effectiveness of the approach and reveal that the road grade has a considerable influence on the HEV fuel use and emissions. Copyright © 2006 SAE International.

关键词： Hybrid vehicles

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An analysis method for contribution degree of C4ISR system based on operational effectiveness

An analysis method for contribution degree of C4ISR system b...

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IASTED International Conference on Modelling and simulation, MS 2012

作者： Yu, Qin-Zhang Zhang, Ying-Chao Hu, Run-Tao Shen, Zhi-Ming Zhang, Jing Beijing Institute of System Engineering Science and Technology on Complex Systems Simulation Laboratory Beijing China

ISBN: (纸本)9780889869264

C4ISR system is the multiplicator of System of Armament systems (SoAS). An analysis method for Contribution Degree of C4ISR system is proposed in the paper. Firstly, Overall-Effect based evaluation method for operational effectiveness of SoAS is introduced. Secondly, Contribution Degree of C4ISR system is defined and experiment flow based on exploratory simulation is designed. On this basis, an analysis method for Contribution Degree of C4ISR system is put forward. Finally, a simulation experiment is executed to prove the effectiveness of the method.

关键词： C4ISR system Contribution Degree Analysis Method Operational Effectiveness Multiplying circuits simulation test evaluation method armament WWOX gene

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Optimization of radar reconnaissance constellation based on fuzzy relative entropy 6

Optimization of radar reconnaissance constellation based on ...

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6th International Conference on Advanced Electronic Materials, Computers, and Software Engineering, AEMCSE 2023

作者： Liu, Yali Xiong, Wei Han, Chi Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510668249

The optimization of radar reconnaissance constellation is of great significance for reconnaissance timeliness. In order to solve the problems of insufficient selection pressure and poor diversity of the evolutionary algorithm based on Pareto domination in solving the many-objective optimization problem of radar reconnaissance constellation, an imporved particle swarm optimization based on fuzzy relative entropy (IFREM_PSO) is proposed. A new inertial weight strategy is proposed to enhance the convergence speed and accuracy of the algorithm, improve the external archive maintenance strategy, and enhance the convergence and diversity of the algorithm. The optimization model of radar imaging reconnaissance constellation oriented to area reconnaissance is constructed. The IFREM_PSO is used to optimize the model, and the multi-objective particle swarm optimization algorithm (MOPSO) is used as the control algorithm. Experiments show that the IFREM_PSO has better results in terms of convergence, diversity and convergence speed, and can effectively solve the problem of radar reconnaissance constellation optimization. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Entropy

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Research on Modeling of spatial information Network based on combat ring 3

Research on Modeling of spatial information Network based on...

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3rd International Conference on Digital Signal and Computer Communications, DSCC 2023

作者： Di, Lu Zhongwen, Zhao Yaru, Wang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

Spatial information network itself is a comprehensive information network with multiple functions, which plays an important role in information acquisition, attack support, navigation and positioning, etc. In order to describe the function of spatial information network in detail, the combat ring theory is introduced to model the nodes, inter-satellite links and earth-satellite links of the network. At the same time, due to its complex and dynamic nature, Different from conventional combat network, the time accumulation graph model is introduced to further describe the network model, so as to truly reflect the support and attack capability of spatial information network under the combat background. © 2023 SPIE.

关键词： Graph theory

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Multi-objective optimization of reconnaissance constellation based on machine learning 4

Multi-objective optimization of reconnaissance constellation...

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4th International Conference on Computer science and Communication technology, ICCSCT 2023

作者： Liu, Yali Xiong, Wei Xiong, Minghui Yu, Xiaolan Liu, Zheng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510671232

The optimization of reconnaissance constellation is an important step in the construction of space-based information system, and the coverage performance is the key index of the optimization of reconnaissance constellation. However, the coverage performance of the current constellation is mostly obtained through the simulation system, which has high time complexity and low efficiency, seriously slowing down the speed of constellation optimization. In order to improve the efficiency of constellation optimization, a two-stage optimization scheme of reconnaissance constellation based on machine learning is proposed. First, the trained machine learning prediction model is combined with the evolutionary algorithm to carry out rough optimization of the reconnaissance constellation, and the decision variable space after the scope is reduced is obtained. Then, in the reduced decision variable space, the simulation system and evolutionary algorithm are used to further optimize the problem, and the final result is obtained. The scheme proposed in this paper speeds up the convergence of population by reducing the search space of decision variables, thus improving the optimization efficiency. By comparing the optimization results of this scheme with those of the traditional scheme, it is found that the proposed scheme is 78.21% shorter than that of the traditional scheme under the premise that the quality gap between the optimization results of the traditional scheme and the traditional scheme is acceptable, which greatly improves the optimization speed of the reconnaissance constellation, and verifies the effectiveness and advancement of the proposed scheme. © 2023 SPIE.

关键词： Multiobjective optimization

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Better Modeling the Hierarchical Structure of Language for Sentence Semantic Matching 2

Better Modeling the Hierarchical Structure of Language for S...

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2020 2nd International Conference on Artificial Intelligence Technologies and Application, ICAITA 2020

作者： Pei, Zhongmin Li, Changqun Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing100014 China

Sentence semantic matching requires understanding the semantic relationship between two sentences, which is widely used in various natural language tasks such as paraphrase identification, natural language inference and question answering. Usually, the underlying structure of sentence is not strictly sequential, this structure is hierarchical. This paper studies how to better model the hierarchical structure of sentence for semantic matching. Recent research suggests that BERT implicitly captures classical, tree-like structures. Based on this, this paper proposes to further enhance the strength of modeling hierarchical structure of language with an advanced variant of LSTM-Ordered Neurons LSTM(ON-LSTM), which introduces a syntax-oriented inductive bias to perform the composition of classical tree structure. Experimental results demonstrate that the proposed approach, which enhances hierarchical structure of language, significantly improves the performance of sentence semantic matching. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Modeling languages

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Denoising of hyperspectral images based on principal component analysis and adaptive sparse coding 10

Denoising of hyperspectral images based on principal compone...

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10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018

作者： Xiaorui, Song Lingda, Wu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing101416 China

ISBN: (纸本)9781538684795

In view of the special properties of hyperspectral images(HSI) in the transform domain, in this paper, a new denoising method of HSI based on principal component analysis(PCA) and adaptive sparse coding is proposed. Firstly, the principal component image of each channel is obtained by performing PCA transform on the noisy HSI. Then, the first PCA output channels which contain a majority of the total energy of an HSI data cube are retained, and the rest PCA output channels which contain a small amount of energy, termed noise component images, are subjected to noise reduction through an adaptive sparse coding method. The encoding dictionaries are learned from each channel of noise component images by an approach of online dictionary learning. Finally, the denoised HSI is obtained by the inverse PCA transform. The proposed method takes the advantages of PCA and adaptive sparse representation that has better adaptability to the HSI. It not only performs better in denoising, but also preserves the details and alleviates the blocking artifacts well. The effectiveness of the proposed approach to hyperspectral denoising, termed PCASpC, is illustrated in a series of experiments with synthetic and realworld data where it outperforms the state-of-the-art. © 2018 IEEE.

关键词： Principal component analysis

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