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2013 International Conference on Vehicle and Mechanical Engineering and Information technology, VMEIT 2013

作者： Li, Kang Li, Xin Ming Liu, Dong Cui, Yun Fei Science and Technology on Complex Electronic System Simulation Laboratory China

ISBN: (纸本)9783037858202

For the vast amounts of heterogeneous data is difficult to effectively deal with the problem, propose an ontology-based data integration technology. Analysis of the types of semantic conflicts in data integration, ontology semantic description of traditional data integration framework for data integration middleware module. Ontology concept in the domain of information resources, and take the initiative to find and build semantic mapping between semantic conflicts. © (2013) Trans Tech Publications, Switzerland.

关键词： Data integration

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Data-Driven Learning and Control with Event-Triggered Measurements

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IEEE Transactions on Automatic Control 2025年

作者： Feng, Shilun Shi, Dawei Chen, Tongwen Shi, Ling Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 1H9 Canada Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Clear Water Bay Kowloon Hong Kong

Event-triggered control has attracted considerable attention for its effectiveness in resource-restricted applications. To make event-triggered control as an end-to-end solution, a key issue is how to effectively learn unknown system dynamics from event-triggered measurements and consequently, develop a learning-based event-triggered controller. Existing works learn system dynamics based on periodic time-triggered measurements, and it is yet to know how to learn a controller with performance guarantee based on event-triggered measurements. To address this issue, we consider the problem of learning an event-triggered state feedback controller for an unknown linear system based on event-triggered state measurements in this work. In particular, we first analyze the event-triggered measurements within a set-membership framework. We prove that the estimation error belongs to a bounded ellipsoid determined by the historical measurements and the event-triggering condition. Subsequently, we demonstrate that all admissible systems compatible with the collected data samples can be explicitly represented in the form of quadratic matrix inequalities using the state estimates. With the acquired set of admissible systems, a co-design problem for the data-driven controller and event-triggering condition is solved using the linear matrix inequality technique, with guaranteed closed-loop stability and L2-gain performance. Finally, numerical examples and comparisons are provided to illustrate the effectiveness of the proposed event-triggered learning and control approach. © 1963-2012 IEEE.

关键词： Networked control systems

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Data-Centered Computing and Implementation in Web Service 7

Data-Centered Computing and Implementation in Web Service

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2016 IEEE 7th International Conference on Software Engineering and Service science

作者： Li Chao Wu Lingda Zhao Bin Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Electronic Equipment Test Center

ISBN: (纸本)9781467399050

Parallel computer architectures bring synchronization problem which bog down the *** the speed gap between CPU and memory keeps growing,making data operation more *** some data-intensive applications,there are similar or coincident child operations in parallel threads,which take unnecessary *** effectively exploit parallelization,reduce the price of data operation,the concept of data-centered computing is *** considering the similarity and relations between data and merging them into unions as threads' input,data-centered computing can eliminate data operation redundancy of data-intensive *** implementation in web service proves that data-centered computing can effectively improve performance.

关键词： data-centered web service data vector parallelization

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Application of Topology Analysis in Visualization of 2D Dynamic Vector Fields 7

Application of Topology Analysis in Visualization of 2D Dyna...

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2016 IEEE 7th International Conference on Software Engineering and Service science

作者： Li Chao Wu Lingda Zhao Bin Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Electronic Equipment Test Center

ISBN: (纸本)9781467399050

Flow is one of the most fundamental physical process in natural *** visualization can give an intuitive view of flow fields and contribute to the observation and analysis of *** flow fields are all dynamic while traditional visualization approaches are not able to reflect the trends of flows or the diversity inside *** on the research of Lagrangian Coherent Structures in Computational Fluid Dynamics,the concept of flow field topology is redefined,two typical 2D dynamic vector fields are selected for topology analysis,and the results are used to optimize the visual effects of geometric *** show that visualization of 2D dynamic vector fields based on topology analysis can extract the coherent structures of flows which are helpful to the comprehension of flow for researchers and description of characteristic difference inside flows.

关键词： flow visualization topology analysis dynamic flow fields vector fields Lagrangian Coherent Structures

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The Evaluation Method of Equipment system of systems Based on Big Data Analysis

The Evaluation Method of Equipment System of Systems Based o...

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2015 International Conference on Automation,Mechanical Control and Computational Engineering(AMCCE 2015)

作者： Liu Dong Li Kang Science and Technology on Complex Electronic System Simulation Laboratory

ISBN: (纸本)9781510803084

In the evaluation of equipment system of systems(So S), equipment data has shown some new characters, such as big volume, wide range sources, and dynamic variance. The paper pointed out the idea to evaluate equipment So S based on big data analysis techniques. The outline of the method is provided from two points of view, namely the big data processing techniques and equipment So S evaluation methods. Based on big data, equipment So S efficiency evaluation, counter evaluation, and other deeper level applications, such as intelligence processing and situation analysis, can be made. The method is a new method in the equipment So S evaluation field.

关键词： equipment system of systems efficiency evaluation data analysis

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Support vector regression-based operational effectiveness evaluation approach to reconnaissance satellite system

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Journal of systems Engineering and electronics 2023年第6期34卷 1626-1644页

作者： HAN Chi XIONG Wei XIONG Minghui LIU Zhen College of Aerospace Information Space Engineering UniversityBeijing 101400China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering UniversityBeijing 101400China

As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and *** at the problem of nonlinear effectiveness evaluation under small sample conditions,we propose an evaluation method based on support vector regression(SVR)to effectively address the defects of traditional *** the performance of SVR is influenced by the penalty factor,kernel type,and other parameters deeply,the improved grey wolf optimizer(IGWO)is employed for parameter *** the proposed IGWO algorithm,the opposition-based learning strategy is adopted to increase the probability of avoiding the local optima,the mutation operator is used to escape from premature convergence and differential convergence factors are applied to increase the rate of *** experiments of 14 test functions validate the applicability of IGWO algorithm dealing with global *** index system and evaluation method are constructed based on the characteristics of *** validate the proposed IGWO-SVR evaluation method,eight benchmark data sets and combat simulation are employed to estimate the evaluation accuracy,convergence performance and computational *** to the experimental results,the proposed method outperforms several prediction based evaluation methods,verifies the superiority and effectiveness in RSS operational effectiveness evaluation.

关键词： reconnaissance satellite system(RSS) support vector regression(SVR) gray wolf optimizer opposition-based learning parameter optimization effectiveness evaluation

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Joint Secure and Covert Communications for Active STAR-RIS Assisted ISAC systems

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IEEE Transactions on Wireless Communications 2025年

作者： Guo, Liang Jia, Jie Mu, Xidong Liu, Yuanwei Chen, Jian Wang, Xingwei Northeastern University School of Computer Science and Engineering China Northeastern University Engineering Research Center of Security Technology of Complex Network System Ministry of Education China Northeastern University Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Shenyang110819 China BelfastBT3 9DT United Kingdom Department of Electrical and Electronic Engineering China

This paper investigates the design of jointly supporting physical layer security (PLS) and covert communications (CCs) in an active simultaneously transmitting and reflecting reconfigurable intelligent surface (a-STAR-RIS) assisted integrated sensing and communication (ISAC) system. Due to the unified waveform design of ISAC signals, we consider a challenging scenario with two targets being suspicious attackers, where one warden target potentially detects the confidential transmission behavior of covert users and another eavesdropper target attempts to intercept the broadcasted confidential information of security users. We investigate the joint beamforming design at the base station (BS) and the a-STAR-RIS to achieve a high-quality sensing beampattern while meeting covertness and security communication requirements. (1) For the ideal scenario with perfect channel state information (CSI) and precise target locations, we propose an alternative optimization (AO) method to address the optimization problem involving highly coupled variables. Specifically, the optimal beamforming design at the BS is handled using the semi-definite relaxation (SDR) technique, while the beamforming design at the a-STAR-RIS is addressed through a penalty-based iterative algorithm. (2) A more practical case with uncertain target locations and imperfect CSI is considered to achieve a robust beamforming design, where the non-deterministic outage probability constraints are effectively transformed by employing the Bernstein-type inequality. Numerical results demonstrate the superiority of the a-STAR-RIS over the baseline cases and certify that the proposed algorithms can effectively balance the tradeoff among the sensing quality, covert and secure communication requirements. Besides, results also show that the proposed robust beamforming scheme can construct adequate sensing beampattern, even with imperfect CSI and uncertain target locations. © 2002-2012 IEEE.

关键词： Beamforming

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Research on the information system architecture design framework and reference resources of American Army 3

Research on the information System architecture design frame...

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3rd International Conference on Advanced Information science and system, AISS 2021

作者： Jian, Ping Space Engineering University Science and Technology Complex Electronic System Simulation Laboratory China

ISBN: (纸本)9781450385862

The concept of architecture is put forward by the US Army, which refers to the composition structure of the system and its mutual relationship, as well as the principles and guidelines guiding the design and development of the system. Architecture design technology and its reference resources have important theoretical and technical support for the top-level design of information system. Based on the analysis of architecture technology and function, this paper systematically studies the connotation and development history of the architecture design framework of the US army, and sorts out the main reference resources of the architecture design of the US army, such as the common joint task list, information system interoperability level model, joint technology architecture. It provides useful reference for the theoretical and technical research of information system top-level design. © 2021 ACM.

关键词： Information use

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AutolEncideraBased for High Spectral Dimensional Data Classification and Visualization 2

AutolEncideraBased for High Spectral Dimensional Data Classi...

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2nd IEEE International Conference on Data science in Cyberspace, DSC 2017

作者： Zhu, Jiang Wu, Lingda Hao, Hongxing Song, Xiaorui Lu, Yi Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Beijing China

ISBN: (纸本)9781538615997

The classification and visualization for surface objects receives a great deal of attention for high spectral dimensional data processing. A lot of methods were proposed and applied in this problem over the past decade. Whereas most of them still exist some challenge issues, include pre-treatment fussily, features extraction simplify, larger data processing difficultly and classification inaccurately. To solve these problems, we propose a novel method bases on deep learning which combines maximum noise fraction (MNF) and multilayers auto-encoders. Thereinto, MNF is used to reduce the inherent spectral dimensionality of high spectral dimensional data;autoencoders and softmax logistic regression function are applied for extracting high-level features and visualizing types of objects. On the experiments, we compared with traditional linear SVM method by using a 200-bands AVIRIS dataset over Indian Pines and a 103-bands ROSIS dataset over Italy Pavia. The results indicate that the algorithm in paper statistically significantly improved the classification and visualization accuracies and efficiencies. © 2017 IEEE.

关键词： Visualization

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A Region Preference-based Optimization Algorithm for Satellite Mission Planning Problem 2

A Region Preference-based Optimization Algorithm for Satelli...

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2021 2nd International Conference on Modeling, Big Data Analytics and simulation, MBDAS 2021

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

For the earth observation satellite mission planning problem, objectives such as observed target quantity, observation profit, energy consumption, image quality should be considered simultaneously, which is a many-objective optimization problem. Classical optimization-based mission planning algorithms obtain a set of non-dominated solutions in the entire search space, while only a single satisfy final plan is desired by decision maker. In this paper, a five-objective optimization model for satellite mission planning problem is constructed, then a region preference-based evolutionary algorithm, HMOEA-T, is applied to obtain the desired solutions. The decision makers describe the preference on each objective in target region form, then the algorithm guides a more detailed search within the preference region rather than the entire Pareto front. Comparative studies with preference-based methods (T-NSGA-III) and classical methods (NSGA-III) are conducted. We have exemplified the proposed method manage to obtain the solutions satisfying the mission planning preference and achieve better performance in convergence and diversity. © Published under licence by IOP Publishing Ltd.

关键词： Evolutionary algorithms

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