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检索条件"机构=Science and Technology on System Simulation Laboratory"

共 607 条记录，以下是61-70 订阅

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Research on Multi-Satellite Mission Planning Based on Improved Genetic Algorithm 3

Research on Multi-Satellite Mission Planning Based on Improv...

引用

3rd International Conference on Computer science and Management technology, ICCSMT 2022

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

ISBN: (纸本)9798350320404

For the multi-satellite mission planning problem, a multi-satellite mission planning model is constructed by considering the constraints of satellite's visibility window to the target, attitude transition, storage and energy consumption, and an improved genetic algorithm is proposed to solve the model. The algorithm adopts the real number coding method to improve the solution efficiency, introduces the adaptive mechanism and the elite retention strategy, which improves the problems that the genetic algorithm is easy to fall into local optimum and converge early. The effectiveness of the improved genetic algorithm for solving multi-star mission planning is verified through simulation case analysis, and it is compared and analyzed with the standard genetic algorithm. The results show that the well genetic algorithm can achieve faster convergence and better planning results, and has better adaptability to large-scale mission planning problems. © 2022 IEEE.

关键词： Genetic algorithms

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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...

引用

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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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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Convolutional neural networks based for high spectral dimensional data classification 3

Convolutional neural networks based for high spectral dimens...

引用

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

作者： Zhu, Jiang Wu, Lingda Lu, Yi Jiao, Jiao Song, Xiaorui Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781538642108

Recent research has shown that deep learning is widely used to classify the high spectral dimensional data. Under limited samples, a novel method of high spectral dimensional data classification based on convolutional neural networks (CNNs) is proposed. By standardization and adding virtual samples, the sensitivity of models on the classification of objects and quantity of classification objects is reduced. The computational complexity and computation time are reduced by optimizing the gradient descent method and the learning rate calculation method. By setting up a suitable network structure, the generalization is improved. The experimental results show that compared with the traditional classification methods such as k-Nearest Neighbor (KNN), Logistic Regression (LR) and Support Vector Machine of Radial Basis Function Kernel (RBF-SVM), the method using convolutional neural network has more competitive results in computational efficiency and classification accuracy. © 2018 IEEE.

关键词： Gradient methods

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NASIL: Neural Network Architecture Searching for Incremental Learning in Image Classification 1

引用

11th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2020

作者： Fu, Xianya Li, Wenrui Chen, Qiurui Zhang, Lianyi Yang, Kai Qing, Duzheng Wang, Rui Beihang University Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (数字)9789811600104

ISBN: (纸本)9789811600098

"Catastrophic forgetting" and scalability of tasks are two major challenges of incremental learning. Both of these issues were related to the insufficient capacity of machine learning model and the insufficiently trained weights as the increasing of tasks. In this paper, we try to figure out the impact of the neural network architecture to the performance of incremental learning in the case of image classification. During the increasing of tasks, we propose to use neural network architecture searching (NAS) to find a structure that fits the new tasks collection better. We build a NAS environment with reinforcement learning as the searching strategy and Long Short-Term Memory network as the controller network. Computation operation and connecting previous nodes are selected for each layer in the search phase. For each time a new group of tasks is added, the neural network architecture is searched and reorganized according to the training data set. To speed up the searching, we design a parameter sharing mechanism, in which the same building blocks in each layer share a group of parameters. We also introduce the quantified-parameter building blocks into the NAS, to identify the best candidate during each round of searching. We test our solution in cifar100 data set, the average accuracy outperforms the current representative solutions (LwEMC, iCaRL, GANIL) by 24.92%, 5.62%, and 3.6%, respectively, the more tasks added, the better our solution performs. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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A TOPSIS-based Approach to Evaluating Remote Sensing Satellite Mission Planning Schemes

A TOPSIS-based Approach to Evaluating Remote Sensing Satelli...

引用

2022 International Conference on Geographic Information and Remote Sensing technology, GIRST 2022

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

ISBN: (纸本)9781510662186

Remote sensing satellite mission planning is one of the hot issues in the space engineering research field, and a large number of mission planning approaches have been proposed in related research work. Numerous mission planning schemes were constructed for different mission requirements. How to evaluate the merits of the schemes is of great significance to improve the quality and effectiveness of remote sensing satellite missions. Based on the analysis of the basic problems of remote sensing satellite mission planning, a technology framework of mission scheme evaluation is proposed, and an evaluation index system for remote sensing mission planning schemes is constructed, including mission completion rate, planning timeliness and resources occupancy. A TOPSIS-based evaluation model is proposed to calculate the valuation of mission scheme according to the index system. The case study shows that the mission planning scheme evaluation approach proposed in this paper is feasible and effective. © 2023 SPIE.

关键词： Engineering research

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Analysis on the Complex Characteristics of the Space-ground Integrated Network Structure 2

Analysis on the Complex Characteristics of the Space-ground ...

引用

2nd International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2021

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

ISBN: (纸本)9781665412964

The space-ground integrated network is one of the important information infrastructures of the country in the future. In order to further promote its visualization research, the structural characteristics of the space-ground integrated network are analyzed from the perspective of network complexity. Firstly, it introduces the development status of the space-ground integrated network, and then describes its overall structure and composition, focusing on the analysis of the complex characteristics of the space-ground integrated network structure from four aspects: heterogeneity, multi-layeredness, dynamics and distribution. Finally, Prospects for the next research direction. © 2021 IEEE.

关键词： Complex networks

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Architecture transformation research on joint border defense systems-of-systems 2021

Architecture transformation research on joint border defense...

引用

2021 5th International Conference on Management Engineering, Software Engineering and Service sciences, ICMSS 2021

作者： Zhang, Mengmeng Yi, Shuanghui Lin, Menglong Chen, Honghui Science and Technology on Information Systems Engineering Laboratory China National Key Laboratory for Complex System Simulation China

ISBN: (纸本)9781450389709

Currently, with the deepening of development and open of China's border, issues of border joint defense become increasingly arduous. Traditional means of cooperation and coordination are far from being able to align requirements;information systems of different joint defense units are difficult to interconnect and interoperate;the previous results of joint defense informatization are difficult to inherit. The main reason is the lack of border joint defense information construction with a top-level design approach. Via the lens of top-level design, this paper establishes a multi-viewpoint architecture framework and transformation process, develops the as-is and to-be joint defense architecture, and finally analyzes transformation principles from the as-is architecture to to-be architecture. This paper mainly explores the architecture transformation mechanisms under the border joint defense scenario. © 2021 ACM.

关键词： Architecture

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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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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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