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7th International Conference on simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2017

作者： Zhai, Xiang Dai, Feng Qu, Huiyang Zhong, Lingling Du, Chenyong Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China School of Mechanical Engineering Zhejiang University Hangzhou China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Aviation Engineering Institute Civil Aviation Flight University of China Sichuan China Beijing ZhiYuanChuangTong IT Co Ltd Beijing China

ISBN: (纸本)9789897582653

A great amount of existing knowledge is required during the development of aero-craft system. At present, the existing knowledge organization model construct different knowledge model for different stages is difficult to adapt to the complicated product life cycle application. This study proposes a product development oriented knowledge network model focusing on expressing the knowledge demands and connecting the computer-aided system. Under the overall knowledge network model, this study describes the ontology description method of spacecraft product model, development tasks and aerospace terminology. Recommending missile aerodynamic knowledge within the design stage is presented as a case study, and the framework and the method is proved to be effective. © Copyright 2017 by SCITEPRESS - science and technology Publications, Lda. All rights reserved.

关键词： Ontology

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The Research of Low Earth Orbit Prediction of Satellite Based on Deep Neural Network

The Research of Low Earth Orbit Prediction of Satellite Base...

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2017 2nd International Conference on Computer, Mechatronics and Electronic Engineering(CMEE 2017)

作者： Hai-tao YANG Jun-peng ZHU Jian ZHANG Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Department of Graduate Management Space Engineering University

Satellite orbit prediction is a basic requirement in satellite applications. The current orbit prediction mainly depends on the dynamic model. Because of the limitations of the detection equipment and the satellite orbit data cannot be updated in time, which cause the dynamical model long-term orbit divergence to be serious. Using deep neural network as a method of orbit prediction which can predict the future data by training the satellite orbit data and grasp the implicit relationship between the data. The neural network model is optimized and the prediction data is compared with the actual data. The error of 20 days forecast is reduced to 2 km, which improves the accuracy of neural network forecasting satellite orbit.

关键词： Satellite orbit prediction Deep neural network

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Survey on Multilayer Networks Visualization

Survey on Multilayer Networks Visualization

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2017 IEEE 8th International Conference on Software Engineering and Service science

作者： ZHANG Xitao WU Lingda YU Shaobo ZHOU Peng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University The Chinese People's Liberation Army 91404 Troops

Based on the survey about the criterion of network visualization, some visualization challenges for multilayer networks are introduced. After a brief overview of the strategies and the previous work on multilayer netw... 详细信息

关键词： multilayer networks network visualization information visualization

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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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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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A broadband interference structure-based algorithm to continuously estimate the range of a moving ship

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Shengxue Xuebao/Acta Acustica 2018年第2期43卷 163-168页

作者： Ren, Qunyan Piao, Shengchun Guo, Shengming Ma, Li Liao, Tianjun Institute of Acoustics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Underwater Acoustics Environment Chinese Academy of Sciences Beijing100190 China Acoustic Science and Technology Laboratory Harbin Engineering University Harbin150001 China State Key Laboratory of Complex System Simulation Beijing Institute of System Engineering Beijing100101 China

In shallow waters, regular striations can be observed from the broad-band range-frequency spectrogram radiated by a moving ship, whose structure can be interpreted by the waveguide invariant theory and has been applied for sediment geoacoustic inversion and source ranging, etc. We present an algorithm to sequentially estimate the source range by observing the striation geometrical characteristics with an extended Kalman filter. This approach is based on the waveguide invariant theory and has the advantage of no requirement of a prior environmental information and forward sound field calculation. The at-sea ship noise data is tested, and the results are in high agreement with GPS data, besides, this approach is also demonstrated to be robust to initial state values. © 2018 Acta Acustica.

关键词： Kalman filters

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Geoacoustic inversion using ship noise vector field

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Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University 2018年第2期39卷 236-240页

作者： Ren, Qunyan Piao, Shengchun Ma, Li Guo, Shengming Liao, Tianjun Institute of Acoustics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Underwater Acoustics Environment Chinese Academy of Sciences Beijing100190 China Science and Technology on Underwater Acoustic Laboratory Harbin Engineering University Harbin150001 China State Key Laboratory of Complex System Simulation Beijing100101 China

Seabed geoacoustic parameters and associated uncertainties are important for sonar performance prediction and related applications, and the feasibility of jointly using pressure and vector fields to increase geoacoustic inversion reliability is discussed. The matching field inversion algorithm is used to process ship noise data collected by a single-vector hydrophone, and the estimation value and posterior probability distribution is derived. Theoretical analysis and a numerical simulation suggest that the component of the vertical particle velocity provides more abundant acoustic signal transmission characteristics than when using the acoustic pressure field only, and more consolidated estimates can be obtained through using pressure and vector fields jointly than by treating them individually. © 2018, Editorial Department of Journal of HEU. All right reserved.

关键词： Uncertainty analysis

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SwordDTA： A Dynamic Taint Analysis Tool for Software Vulnerability Detection

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Wuhan University Journal of Natural sciences 2016年第1期21卷 10-20页

作者： CAI Jun ZOU Peng MA Jinxin HE Jun Science and Technology on Complex Electronic System Simulation Laboratory Academy of Equipment Beijing 101416China China Information Technology Security Evaluation Center Beijing 100085 China

Software vulnerabilities are the root cause of various information security incidents while dynamic taint analysis is an emerging program analysis technique. In this paper, to maximize the use of the technique to detect software vulnerabilities, we present SwordDTA, a tool that can perform dynamic taint analysis for binaries. This tool is flexible and extensible that it can work with commodity software and hardware. It can be used to detect software vulnerabilities with vulnerability modeling and taint check. We evaluate it with a number of commonly used real-world applications. The experimental results show that SwordDTA is capable of detecting at least four kinds of softavare vulnerabilities including buffer overflow, integer overflow, division by zero and use-after-free, and is applicable for a wide range of software.

关键词： information security software vulnerability detection dynamic taint analysis use-after-free

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Affinity Propagation for Hyperspectral Band Selection

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IOP Conference Series: Earth and Environmental science 2018年第2期170卷

作者： Zhiwei Ren Lingda Wu Department of Graduate Management Space Engineering University Beijing 101416 China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing 101416 China

Because hyperspectral images have the characteristics of high correlation between bands and strong information redundancy, the reduction in dimension of hyperspectral images is an important step in the pre-processing of hyperspectral images. Band selection can preserve the physical meaning of the original data while reducing dimension and has application in many aspects. Affinity Propagation Clustering (AP) is a clustering method proposed by Fray et al. in 2007. AP clusters based on the correlation between data points and treats all data points as potential cluster centers. This paper proposes a band selection method based on AP clustering, which introduces wavelet transform into the calculation of similarity and preference value in clustering algorithm. The dimensionality reduction results are input into the minimum distance classifier for classification, and the classification accuracy was calculated. The dataset is validated by the Indiana Pines dataset. The experimental results verify the effectiveness of the proposed method.

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Role-based approaches for operational tasks modeling and flexible decomposition

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Journal of systems Engineering and Electronics 2016年第6期27卷 1191-1206页

作者： ZhigangZou Wangfang Che Shusheng Wang Yun Bai Chengli Fan Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing 100076China Air and Missile Defense College Air Force Engineering UniversityXi’an 710051China Department of Information Operation&Command Training National Defense University of PLABeijing 100091China

In order to realize the fact that operational tasks can be decomposed flexibly with new tasks random adding, role-based approaches for operational tasks model and the flexibility decomposition are proposed. Firstly, aiming at the shortcomings of previous task decomposition methods, operational role concepts are introduced to design a computing framework of task flexibility decomposition. Within the framework, task structure matrixes are constructed for tasks decomposition with the mapping relations of information interaction and action process among tasks. On basis of this, via giving operational decomposition granularity, a flexibility approach of operational task decomposition is put forward with three parts about task decomposition granularity adjustment, tasks module partition with different operational role patterns and task decomposition scheme evaluation. Finally, as an application case shown, it is validated that the proposed approaches for tasks modeling and decomposition are available. By comparing with previous decomposition approaches, the proposed approach, within three types of operational roles, has strong environmental adaptability and scheme diversity, which can restrain calculation complexity increment for realizing task flexible decomposition effectively. © 2016 Beijing Institute of Aerospace Information.

关键词： Electronics industry Engineering Industrial engineering

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