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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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Status and analysis of process mining algorithm classification 5

Status and analysis of process mining algorithm classificati...

引用

5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

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

ISBN: (纸本)9781665415989

In view of the rapid development of process mining, the rapid update of related algorithms, and the urgent need to sort out a reasonable classification method, the research on the current status of process mining algorithm classification is carried out. First, conduct statistical visualization analysis of process mining algorithms from different data sources, then analyze and summarize the specific algorithm classification literature at home and abroad in chronological order, and discuss its classification methods and advantages and disadvantages. From the research results, there are four main classification methods of algorithms, among which, based on the characteristics of the algorithm, it has the advantages of small crossover and obvious algorithm characteristics. © 2021 IEEE.

关键词： Visualization

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Directional polarization modulation for secure dual-polarized satellite communication

Directional polarization modulation for secure dual-polarize...

引用

2019 International Conference on Communications, Information system, and Computer Engineering, CISCE 2019

作者： Luo, Zhangkai Pei, Zhongmin Zou, Bo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781728136813

This paper proposes a directional polarization modulation method to enhance the transmission security in dual-polarized satellite communications. Indeed, two components of the polarized signal are respectively transmitted by two orthogonally polarized beams, which are formed by a dual-polarized array. Subsequently, a deviation angle is designed, which is used to determine the difference between the desired direction and the direction of the polarized beams. With a positive deviation angle, two polarized beams point to different directions. In this manner, only in the desired direction that two beam gains equal to each other, the polarized signals can be demodulated accurately, while the constellation is distorted in undesired directions, which makes it difficult to recover the information and, thus the transmission security is enhanced. Theoretical analysis and simulation results demonstrate the security performance of the proposed method. © 2019 IEEE.

关键词： Satellites

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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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Stable Periodic Frequent Itemset Mining on Uncertain Datasets 4

Stable Periodic Frequent Itemset Mining on Uncertain Dataset...

引用

4th IEEE International Conference on Computer and Communication Engineering technology, CCET 2021

作者： He, Ruimeng Chen, Jinchao Du, Chenglie Duan, Yuxin Northwestern Polytechnical University Department of Computer Science Xi'an China Science and Technology on System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (纸本)9781665438902

In recent years, data mining has attracted great attention from the information industry. The main reason is that there is a large amount of data, which can be widely used, and there is an urgent need to convert these data into useful information and knowledge. Frequent itemset mining as an important research basis in data mining research has also been greatly developed. However, most of these frequent itemset mining algorithms only consider the frequency of itemsets and ignore the periodicity of itemsets, which makes the results incomplete. In order to solve the above problem, this paper presents a a stable periodic frequent itemset mining (SPFIM) algorithm on uncertain dataset, by considering both the frequency and periodicity of itemsets. The experimental evaluation on real datasets shows that the SPFIM algorithm is efficient and can find patterns that are not found by traditional algorithms. © 2021 IEEE.

关键词： Data mining

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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...

引用

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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Gearman Based Distributed Computation of space Target Photometry

Gearman Based Distributed Computation of Space Target Photom...

引用

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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Reasearch on dynamic evolution model visualization of satellite communication network based on complex network 3

Reasearch on dynamic evolution model visualization of satell...

引用

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

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

ISBN: (纸本)9781538642108

In order to explore the dynamic evolution of satellite communication network, this paper carried out a visualization study on the dynamic evolution model of satellite communication network based on complex network theory. By constructing reasonable visual mission view and status view, the paper analyzes the properties of satellite communication network and also uses complex network theory to improve the modeling. Through the rule design and algorithm derivation of dynamic evolution model, it analyzes the detailed steps of the dynamic evolution of satellite communication network. By the experiments, it is proved that the dynamic evolution visualization model of satellite communication network conforms to the power law distribution of complex network, which lays a solid foundation for the follow-up study of satellite communication network. © 2018 IEEE.

关键词： Complex networks

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Current Situation of Denoising And Target Detection In Hyperspectral Images 3

Current Situation of Denoising And Target Detection In Hyper...

引用

3rd International Conference on Geology, Mapping and Remote Sensing, ICGMRS 2022

作者： Li, Guanzhe Hao, Hongxiong Wu, Lingda Liu, BoYu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (数字)9781665485951

ISBN: (纸本)9781665485951

Hyperspectral images technology can greatly enhance the extraction ability of ground object information. It is a research hotspot and frontier field in the field of remote sensing in recent years, and has great application value and broad development prospects in many related fields This paper summarizes the methods of denoising and target detection in hyperspectral *** help researchers better sort out the relevant algorithms. © 2022 IEEE.

关键词： Remote sensing

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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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