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检索条件"机构=Science and Technology on Complex Electronic System"

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WebGL-based Network Multi-view Visualization Interactive Analysis Method 4

WebGL-based Network Multi-view Visualization Interactive Ana...

引用

4th International Conference on Computer Information science and Artificial Intelligence, CISAI 2021

作者： Yu, Ronghuan An, Shenhao Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665406925

The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to display its network structure in all directions and from multiple angles, a multi-view visualization interactive analysis method is proposed. First introduces the relevant basic technology, and then constructs the network dynamic model, which is mainly divided into three parts: link visibility analysis, relative motion analysis and visualization model construction. Finally, the digital earth technology is based on a unified coordinate system and data source. Establish a multi-dimensional view on it and provide a variety of interactive operations. Experimental results show that this method can more comprehensively show the structure of the space-ground integrated network, and help users understand its evolutionary law. © 2021 IEEE.

关键词： complex networks

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VRHD: An Interactive Visualization Method for Hyperspectral Data Based on Volume Rendering 5

VRHD: An Interactive Visualization Method for Hyperspectral ...

引用

5th IEEE International Conference on Signal and Image Processing, ICSIP 2020

作者： Hao, Hongxing Yu, Ronghuan Hu, Huaquan Fan, Youchen Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (数字)9781728168968

ISBN: (纸本)9781728168968

As the development of data visualization technology, it becomes more and more convenient to commit data analyzing and mining in some research areas. Data visualization paves the way to understand the abstract numbers in an intuitive manner. This paper focuses on the hyperspectral data analysis by visualization. We research the ray casting based volume data rendering method and propose the method termed Volume Rendering of Hyperspectral Data(VRHD) to visualize the hyperspectral data. The triple control elements including color, transparency and visual district are proposed to do the data analysis and solve the overlapping problem in cubic data visualization by traditional screen. The results prove that the proposed algorithm can help the data user or analyzer to grasp the character of the data such as noise distribution in an integral view. © 2020 IEEE.

关键词： Remote sensing

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Research on Architecture Design Method of Joint Information Environment of Space-based Network Information system based on Multi-viewpoint 6

Research on Architecture Design Method of Joint Information ...

引用

6th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2022

作者： Ping, Jian Wei, Xiong De-Sheng, Liu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665431859

Based on the design goal of the joint information environment architecture of space-based network information system, this paper proposes the basic framework and design process of the joint information environment architecture of space-based network information system according to the multi-viewpoint design idea of 'competency-based, information-oriented and service-oriented'. The view models of Capability Conception CV-1, Information Activity Model IAV-1, Advanced Operational Concept Diagram OV-1, system Composition Description Diagram SV-1 and Information Service List SvcV-1 are constructed, which provide theoretical basis and technical reference for the research of joint information environment of space-based network information system. © 2022 IEEE.

关键词： Information services

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A Light Gradient Boosting Machine Based Effectiveness Prediction Method of Space Reconnaissance system 7

A Light Gradient Boosting Machine Based Effectiveness Predic...

引用

7th IEEE Advanced Information technology, electronic and Automation Control Conference, IAEAC 2024

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

ISBN: (纸本)9798350339161

To address the problem of effectiveness evaluation of space reconnaissance systems with limited data sets, vast array of indexes and inadequate model interpretability, an interpretable effectiveness prediction method based on Light Gradient Boosting Machine(LightGBM) and the Shapley Additive exPlanations(SHAP) is proposed. The thorough evaluation process is given and the index system of space reconnaissance systems is built. Then LightGBM is used to establish a nonlinear mapping the model between the indexes and the effectiveness. Additionally, the model's hyperparameters are adjusted using Bayesian optimization to improve accuracy and lessen computational load. Furthermore, the feasibility of the proposed method is validated by modeling and evaluating the performance of the space reconnaissance system under a particular operational scenario. The experimental results show that compared with other mainstream machine learning methods, the proposed method has higher prediction accuracy and can efficiently extract the potential characteristics of the space reconnaissance system. © 2024 IEEE.

关键词： Forecasting

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Answer Extraction with Graph Attention Network for Knowledge Graph Question Answering 6

Answer Extraction with Graph Attention Network for Knowledge...

引用

6th IEEE International Conference on Computer and Communications, ICCC 2020

作者： Zhang, Jie Pei, Zhongmin Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781728186351

In the knowledge graph question answering, the graph neural network can be used to encode the subgraph nodes related to the question entity to select the correct answer node. However, existing researches mainly focus on the modalities for the node encoding with graph neural network, ignoring that different types of subgraphs have different requirements for encoding information. To overcome the problem, this paper divides the subgraph into two types: the searching graph and the extending graph. Then we propose an answer extraction method with graph attention network for the searching graph, which can weight the information of neighbor nodes with different attention instead of the average. The hierarchical attention is also introduced to integrate question information into the subgraph node embedding to obtain the node presentation with question dependency. The accuracy of 48.2% is achieved on the CommonsenseQA dataset, which is much higher than the random guess (20%). In addition, the accuracy of the simplified model with no hierarchical attention decreases by 3.5%, which indicates the hierarchical attention mechanism can improve the predictive performance of the proposed model. © 2020 IEEE.

关键词： Knowledge graph

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Gearman Based Distributed Computation of Space Target Photometry

Gearman Based Distributed Computation of Space Target Photom...

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2022 International Conference on Informatics, Networking and Computing, ICINC 2022

作者： Tian, Miao Li, Peixuan Song, Wenbo Xu, Jieping Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9798350309690

Photometry is an important optical characteristic of space targets. Due to the huge computational volume of the photometry of the full-angle of a space target, the computation time is long and is difficult to meet the realistic demand. In this study, a Gearman based distributed parallel computation framework is constructed to automatically decompose and distribute the photometry computation tasks, automatically balance the computational load, and compose the computational results. This method divides the target photometry calculation into four independent variables, conducts distributed parallel calculation respectively, and finally integrates the calculation results into single target photometry information. The distributed parallel photometry computation method based on Gearman framework is important for fast computation of full-angle photometry data of space targets and assisting space target situational awareness tasks. © 2022 IEEE.

关键词： Photometry

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Research on the Construction Method of Knowledge Graph 3

Research on the Construction Method of Knowledge Graph

引用

2022 3rd International Conference on Computer Information and Big Data Applications, CIBDA 2022

作者： Xia, Xudong Yu, Ronghuan Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9783800758760

With the continuous innovation of Internet technology, the explosive growth of information has become one of its most obvious characteristics, and how to break through the problem of data storage has become an urgent challenge to be solved. The knowledge graph proposed by Google can intuitively describe the relationship between entities in the objective world in the form of a graph, which is of great help in solving this problem. Firstly, the basic concept of knowledge graph is expounded, and include the key steps of knowledge extraction, knowledge fusion, knowledge storage, etc. Taking the relationship between confirmed cases of the coronavirus disease 2019(COVID-19) in a certain city over the recent period as an example, a knowledge graph of case relationship is constructed. The results indicated that the knowledge graph intuitively shows the transmission path of the epidemic, which can provide certain help for the effective prevention and control of the epidemic. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Digital storage

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ETM fusion algorithm based on log classification 2

ETM fusion algorithm based on log classification

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Lin, Wenxiang Liu, Desheng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781665428767

With the improvement of computer computing power, the shortcomings of the computational inefficiency of the genetic mining algorithm are compensated, and the genetic mining become a research hotspot. In this paper, for the Evolutionary Tree Miner (ETM) algorithm in noise processing can not find the low-frequency effective path and remove the shortage of noise, an ETM fusion algorithm based on log classification is proposed. The algorithm performs process model mining for high-frequency and low-frequency logs separately, and get model fusion based on alignment ideas, Eventually mining the complete process model. Through the simulation of event log data verification, the improved algorithm achieves more complete process model mining than the original ETM algorithm. © 2021 IEEE.

关键词： Trees (mathematics)

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Collaborative Filtering Recommendation Algorithm of Weaponry Based on Knowledge Graph 2

Collaborative Filtering Recommendation Algorithm of Weaponry...

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

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

ISBN: (纸本)9781665428767

Nowadays, modern warfare has changed from weapon-centric operations to network-centric system operations, which has led to the phenomenon of sea-level quantification of weaponry. It is an important research topic for combat commanders to select suitable weaponry from a large number of available resources when facing combat tasks. Recommendation technology is a solution to this problem, which can effectively solve the problem of information overload, so that combat commanders do not produce the phenomenon of 'information loss', in the shortest possible time to make the right decision. Therefore, this paper proposes a collaborative filtering recommendation algorithm for weaponry based on the knowledge graph and the idea of collaborative filtering. In this algorithm, the knowledge graph provides a clear data model with various association relationships, and the collaborative filtering algorithm can realize it without relying on professional experience, which can realize the recommendation process more actively, faster and more intelligently. © 2021 IEEE.

关键词： Collaborative filtering

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A theme-oriented data automatic organization method

A theme-oriented data automatic organization method

引用

2014 International Conference on Applied sciences, Engineering and technology, ICASET 2014

作者： Cao, Rui Hao, Li Yun Wu, Ling Da Science and Technology on Complex Electronic System Simulation Laboratory Equipment Academy Beijing 101416 China

ISBN: (纸本)9783038351849

In order to automatic organization data according to customers' requirement, and improve the data reusability, an idea of data meta-component is proposed, the definition of data meta-component is present, the model of data meta-component is established. A theme-oriented data automatic organization method is proposed;on the basis of data mete-component, the theme domain data automatic organization is realized by means of nature language processing, semantic query, association analysis, share distribution, and other technologies;experimental results show that this method is feasible and effective. © (2014) Trans Tech Publications, Switzerland.

关键词： Reusability

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