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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 high frequency scattering predication method in MMWSS

Application of high frequency scattering predication method ...

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2012 International Conference on Microwave and Millimeter Wave technology, ICMMT 2012

作者： Nie, J.K. Guo, L.X. Zhao, H. Ma, J. Fei, J.D. School of Science Xidian University Xi'an Shaanxi 710071 China Key Laboratory on Space System Simulation Beijing Simulation Center Beijing 100854 China

ISBN: (纸本)9781467321839

A radiation model of millimeter wave antenna is established in this paper. The electromagnetic field distribution on the seeker antenna is calculated in MMWSS based on PO method. According the numerical results, when target is in the near-field of antenna, the characteristic of echo amplitude has an obvious effect of multi-scattering points effect. © 2012 IEEE.

关键词： Millimeter waves

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A practical approach for test equipment perception and virtualization in cloud manufacturing

A practical approach for test equipment perception and virtu...

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Chinese Intelligent systems Conference, CISC 2017

作者： Xu, Yuyan Zhang, Lin Luo, Xiao Zhang, Han School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Engineering Research Center of Complex Product Advanced Manufacturing Systems Ministry of Education Beijing100191 China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (纸本)9789811064982

As an advanced manufacturing paradigm, Cloud Manufacturing provides a new way to solve the problems in the testing process. In cloud manufacturing, resource perception and resource virtualization are the foundation of building an actual service platform. According to the characteristic of test equipment, a practical approach for test equipment perception and virtualization is proposed, which is based on cloud computing, Automatic Test Markup Language (ATML) description and data mapping. A test service platform prototype is given to validate the feasibility of this approach. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Virtualization

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Factor Graph Localization Algorithm Based on Robust Estimation 5

Factor Graph Localization Algorithm Based on Robust Estimati...

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5th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2022

作者： Ma, Jing Mao, Ying Chen, Hangyu Tian, Yuan Science and Technology on Special System Simulation Laboratory Beijing China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

In recent years, with the continuous development of unmanned ground vehicles (UGVs), the performance requirements of unmanned vehicle positioning system are also gradually improved. Existing unmanned ground vehicles need to use a variety of sensors to provide measurement information, and the available positioning information is dynamically combined in the positioning system and the positioning results are calculated. In this paper, multi-source information fusion positioning system of unmanned ground vehicles is established based on factor graph model. In order to solve the problem that the factor graph algorithm is difficult to identify and exclude abnormal observations autonomously, this paper combines the robust estimation with the factor graph to improve the factor graph method. The reliability factor is added in the construction of the factor node, which can be adjusted adaptively according to the current measured value to reduce the weight of abnormal observations and ensure the normal operation of the system. simulation results show that the improved factor graph algorithm proposed in this paper can effectively reduce the influence of abnormal observations on positioning accuracy. © 2022 IEEE.

关键词： Information fusion

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A multi-layer network topology visualization layout based on Louvain community detection 3

A multi-layer network topology visualization layout based on...

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

作者： Zhang, Xitao Wu, Lingda Yao, Zhonghua Yu, Shaobo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

Community is one of the most important structure features of complex networks. It has important research significance for topological structure analysis, behavior prediction, cascading failure, percolation and spreading of multi-layer networks. Aiming at the problem that the existing multi-layer network visualization can't clearly show the community structure, a multi-layer network topology visualization layout based on Louvain community detection is proposed. Firstly, a complex network community discovery algorithm (Louvain) is used to perform the multi-layer network nodes at each layer and the community affiliation of the nodes is obtained at each layer;then, based on the traditional force-directed layout, the community force is added to the internal nodes of the community, so that all the nodes that belong to the same community are gathered to the community center, so as to achieve the effect of displaying the network community structure. The simulation results show that the algorithm has the characteristics of faster convergence and clearer community structure than the traditional visual layout algorithm. © 2018 IEEE.

关键词： Network topology

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A Probe Set Determination Method Based on Spanning Tree Algorithm 23

A Probe Set Determination Method Based on Spanning Tree Algo...

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7th International Conference on High Performance Compilation, Computing and Communications, HP3C 2023

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781450399883

With the rapid development of network technologies such as the Internet of Things, the scale of networks has gradually increased. The P2P networks have been gradually studied, and fault detection and localization for large-scale networks have become a hot research topic. Generally, probes are usually used to quickly locate the fault nodes, but the ability to locate network faults is determined by the choice of probes. This paper studies the probe set determination problem and proposes the criteria named segmentation entropy to judge the probe set. Then a probe set determination method is proposed which does not require a candidate set and performs better than the random probe selection algorithm. Experimental results proves that the proposed algorithm can quickly obtain excellent probe sets. © 2023 ACM.

关键词： Probes

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Research and Implementation of Model Engineering Environment Integration Based on OpenMBEE 21st

Research and Implementation of Model Engineering Environment...

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21st Asia simulation Conference, AsiaSim 2022

作者： Xue, Junjie Zhou, Junhua Shi, Guoqiang Feng, Chaoqun Xu, Lin Liu, Penghua Quan, Hongyan Engineering Research Center Beijing Simulation Center Beijing100854 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing100854 China Yunnan Chensheng Tendering Consulting Co. Ltd. Kuming650102 China School of Computer Science and Technology East China Normal University Shanghai200062 China

ISBN: (纸本)9789811991974

Aiming at the problem of integrating open tools in a user development environment in complex product design, an integration strategy of model engineering environment based on OpenMBEE is studied. It is based on the technologies of user identity unified authentication and user interaction data collaboration. Specifically, in the solution of unified identity authentication on cross-platform, the extended controller method is provided based on the message queue information flow mechanism. Then, the separation of business logic, data information, and interactive view of user unified authentication are realized, on the basis, that the function of unified identity authentication is realized by using the Software Development Kit (SDK) of OpenMBEE. Besides, in the study of user interaction data collaboration technology, three-layer collaboration mechanisms are proposed, they are the presentation layer collaboration, the business layer collaboration, and the persistence layer collaboration. When the jQuery programming framework is integrated into the bootstrap front-end framework, combing with the OpenMBEE back-end server interface, the collaboration of user interaction data is realized. Through experiments and project practice analysis, the user unified authentication strategy and user interactive collaboration strategy are tested respectively for proving the effectiveness and feasibility of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Authentication

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Cross-Polarization suppression by Comb-Shaped slots in Microstrip Patch 13

Cross-Polarization suppression by Comb-Shaped slots in Micro...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Ma, Jing Tan, Shi-Li Ni, Si-Yuan Wang, Chen Sun, Kai Luo, Yong-Yuan Peng, Lin Beijing Simulation Center Science And Technology On Special System Simulation Laboratory Beijing100854 China 95972 Troops Of PLA Jiuquan735018 China Guilin University Of Electronic Technology Guangxi Key Laboratory Of Wireless Wideband Communication And Signal Processing Guangxi Guilin541004 China

ISBN: (纸本)9781665434379

Cross-polarization (XP) of the microstrip antenna was suppressed by etching comb-shaped slots in the patch. By cutting longitudinal comb-shaped slots on the rectangular patch, the transverse current at the patch edges that lead to cross-polarization was dammed up. Then, the co-to cross-polarization (CP-XP) ratio over entire angular range around the broadside direction was increased from 20 dB of the rectangular microstrip antenna (RMA) to 35 dB of the defected patch structure (DPS). Moreover, as the longitudinal current was little affected by the slots, the proposed structure has little effect on the other performances of the antenna (including gain, directivity, radiant principle and impedance bandwidth). As the presented structure is achieved by simple adding slots to the rectangular patch, it is very easy to be fabricated. © 2021 IEEE.

关键词： Etching

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Research on flame classification and recognition based on object detection and similarity fusion

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The Journal of China Universities of Posts and Telecommunications 2021年第5期28卷 59-67页

作者： He Xin Zhou Junhua Liao Zhonghua Zhai Xiang Sun Siyuan School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

The color, shape, and other appearance characteristics of the flame emitted by different flame engines are different. In order to make a preliminary judgment on the category of the device to which it belongs through studying exterior characteristics of the flame, this paper uses the flame of matches, lighters, and candles to simulate different types of flames. It is hoped that the flames can be located and classified by detecting the characteristics of flames using the object detection algorithm. First, different types of fire are collected for the dataset of experiments. The mmDetection toolbox is then used to build several different object detection frameworks, in which the dataset can be trained and tested. The object detection model suitable for this kind of problem is obtained through the evaluation index analysis. The model is ResNet50-based faster-region-convolutional neural network(Faster R-CNN), whose mean average-precision(mAP) is 93.6%. Besides, after clipping the detected flames through object detection, a similarity fusion algorithm is used to aggregate and classify the three types of flames. Finally, the color components are analyzed to obtain the red, green, blue(RGB) color histograms of the three flames.

关键词： flame classification object detection similarity fusion

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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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