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2nd International Conference on electronics, Communications and Information technology, CECIT 2021

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

ISBN: (纸本)9781665437578

With the surge of emergency task demand, large-scale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be solved. In view of this situation, this paper analyzes the constrains and conflict relationship in this problem, and proposes a DQN-based hyperheuristic algorithm. The algorithm includes encoding and decoding, deep Q-network and several low-level heuristic operators. A Markov decision model of this problem is established and 7 low-level heuristic operators are designed according the feature of this problem. After training, DQN behaves well when selecting operators for the scheduling scheme. Finally, several groups of comparative experiments verify the algorithm's ability in solving large-scale satellite emergency scheduling problems. © 2021 IEEE.

关键词： Personnel training

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Generation framework for situation visualization service from the perspective of cognition 3

Generation framework for situation visualization service fro...

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

作者： Yang, Fande Qiang, Li Science and Technology on Complex Electronic System Simulation Laboatory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

The misunderstanding of situation system developers and users leads to the low efficiency of the technology to apply. With three perspectives of cognition as systematicness, subjectivity and interactivity, the functions and coupling relationships of the components of situational cognition system are studied. The interaction between the cognitive subjects and the situation servers is focused on. The generation framework of situation visualization service is proposed, and the cognition demands and application orientation of each link are analyzed. The service mode of situation visualization is discussed. It provides channels for situation processing and visualization technologies to be applied effectively, and for situational data to be used efficiently. © 2018 IEEE.

关键词： Visualization

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Subnormal Distribution Derived From Evolving Networks With Variable Elements

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IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2556-2568页

作者： Feng, Minyu Qu, Hong Yi, Zhang Kurths, Juergen School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China College of Computer Science Sichuan University Chengdu China Institute for Complex System and Mathematical Biology University of Aberdeen Aberdeen U.K.

During the past decades, power-law distributions have played a significant role in analyzing the topology of scale-free networks. However, in the observation of degree distributions in practical networks and other nonuniform distributions such as the wealth distribution, we discover that, there exists a peak at the beginning of most real distributions, which cannot be accurately described by a monotonic decreasing power-law distribution. To better describe the real distributions, in this paper, we propose a subnormal distribution derived from evolving networks with variable elements and study its statistical properties for the first time. By utilizing this distribution, we can precisely describe those distributions commonly existing in the real world, e.g., distributions of degree in social networks and personal wealth. Additionally, we fit connectivity in evolving networks and the data observed in the real world by the proposed subnormal distribution, resulting in a better performance of fitness.

关键词： Degree distribution evolving networks Gibrat's law power-law distribution probability theory

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Scaling Behaviour and Memory in Heart Rate of Healthy Human

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Chinese Physics Letters 2007年第10期24卷 3002-3005页

作者：蔡世民彭虎杨会杰周涛周佩玲汪秉宏 Department of Electronic Science and Technology University of Science and Technology of China Hefei Institute of Complex Adaptive Systems Shanghai Academy of System Science Shanghai 200093 Department of Modern Physics University of Science and Technology of China Hefei 230026 Department of Physics University of Fribourg Chemin du Muse 3 CH-1700 Fribourg Switzerland

We investigate a set of complex heart rate time series from healthy human in different behaviour states with the detrended fluctuation analysis and diffusion entropy （DE） method. It is proposed that the scaling properties are influenced by behaviour states. The memory detected by DE exhibits an approximately same pattern after a detrending procedure. Both of them demonstrate the long-range strong correlations in heart rate. These findings may be helpful to understand the underlying dynamical evolution process in the heart rate control system, as well as to model the cardiac dynamic process.

关键词： TIME-SERIES DIFFUSION SEQUENCES DYNAMICS

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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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Research on space construction and selection method of space-based information support equipment

Research on space construction and selection method of space...

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2022 International Conference on Aerospace, Aerodynamics and Mechatronics Engineering, AAME 2022

作者： Chang, Qing Liu, Desheng Yang, Yang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

With the rapid development of information technology and space technology, the important position of space-based information support equipment is increasingly prominent. However, the increasing types and quantities of space-based information support equipment also put forward higher requirements for the formulation of combat plans, decision-making and deployment of combat equipment. In this paper, based on the seven-step method, an ontology construction method suitable for space-based information support equipment is proposed, and the ontology construction tool Protégé is used to realize the ontology modeling of space-based information support equipment. By acquiring open source satellite data, the knowledge map construction tool Neo4j is used to construct the knowledge map of space-based information support equipment. Finally, the space-based information support equipment conforming to the combat mission can be obtained to provide assistance for the formulation of the combat plan and the decision of equipment utilization. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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Visualization of the non-dominated solutions in many-objective optimization 4

Visualization of the non-dominated solutions in many-objecti...

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4th IEEE International Conference on Data science in Cyberspace, DSC 2019

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

ISBN: (纸本)9781728145280

The high dimensionality of many-objective optimization makes it difficult to represent the relationships between objectives and solutions of such problems. The overlapping and visual confusion problems occur when mapping high-dimensional solution sets to two-dimensional planes in the conventional parallel coordinate plots, which adds difficulty for decision maker choosing a preference solution. This paper introduces a visualization method for many-objective optimization non-dominated solution sets based on fuzzy theory and electromagnetic field clustering. The fuzzy theory is used to classify the non-dominated solution set, and each rating grade denotes the preference degree of decision maker. Visual clustering is conducted by electromagnetic field clustering, the solutions in the same cluster attract each other while solutions between clusters are mutually exclusive. The distribution structure of preference solution is highlighted through brightness gradient enhancement to optimize the visual perception. The experimental results show that the visualization plot of the proposed method is more clear and intuitive than the original plot, which is convenient for decision makers to discover the pattern of solution sets and make final decisions. © 2019 IEEE.

关键词： Visualization

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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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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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An agile optical satellite scheduling method based on transformer networks 3

An agile optical satellite scheduling method based on transf...

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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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