检索结果-内蒙古大学图书馆

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

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

Research on Requirement Analysis Method of space Equipment technology System based on capability 7

Research on Requirement Analysis Method of Space Equipment T...

引用

7th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2023

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

ISBN: (纸本)9798350334197

"Demand traction and technology promotion"is the main law of equipment system construction and development. Scientific determination and quantitative evaluation of key technologies in the field of military equipment is the key and difficult point of system macro demonstration. Based on the analysis of the technical structure of space information equipment technology, this paper proposes a capability-based requirement analysis framework and process of space information equipment technology system, establishes a requirement analysis model of technology system, and constructs its technical system by taking space situation awareness system as an example. It provides technical basis for the requirement analysis of space information equipment technology system. © 2023 IEEE.

关键词： Construction equipment

来源：评论

学校读者我要写书评

暂无评论

Destructive Resistance Analysis of UAV Cluster Network Based on Cascade Failure Model 2

Destructive Resistance Analysis of UAV Cluster Network Based...

引用

2nd International Conference on Computer science, Electronic Information Engineering and Intelligent Control technology, CEI 2022

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

ISBN: (数字)9781665476164

ISBN: (纸本)9781665476164

The complex network theory is used to construct the Unmanned Aerial Vehicle (UAV) cluster network and its characteristic indicators are analyzed. The cascade failure theory is used to study the destructive resistance of the UAV cluster network under different node capacities and attack information, etc. The results show that increasing the node capacity can effectively improve the network destructibility, and the cost and network performance requirements can be balanced by setting appropriate node capacity parameters;the UAV cluster network has higher destructibility under random attacks and shows vulnerability under deliberate attacks, and obtaining some important node information can also significantly reduce the network destructibility. © 2022 IEEE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

New self-calibration schemes for accelerometers in platform INS

引用

Journal of systems science & Complexity 2015年第5期28卷 1032-1042页

作者： Hong Cai Anliang Li Yuan Cao College of Aerospace Science and Engineering National University of Defence Technology Science and Technology on Complex Land Systems Simulation Laboratory

To ensure success of precise navigation, it is necessary to carry out in-field calibration for the accelerometers in platform inertial navigation system(PINS) before a mission is *** continuous self-calibration methods are not fit for fast calibration of accelerometers because the platform misalignments have to be estimated precisely and the nonlinear coupling terms will affect accuracy. The multi-position methods with a "shape of motion" algorithm also have some existing disadvantages: High precision calibration results cannot be obtained when the accelerometer's output data are used directly and it is difficult to optimize the calibration scheme. Focusing on this field, this paper proposes new fast self-calibration methods for the accelerometers of PINS. A data compression filter is employed to improve the accuracy of parameter estimation because it is impossible to obtain non-biased estimation for accelerometer parameters when using the "shape of motion" algorithm. Besides, continuous calibration schemes are designed and optimized by the genetic algorithm(GA) to improve the observability of parameters. simulations prove that the proposed methods can estimate the accelerometer parameter more precisely than traditional continuous methods and multi-position methods, and they are more practical to deal with urgent situations than multi-position methods.

关键词： self-calibration accelerometers data compression genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

A DQN-based hyperheuristic algorithm for emergency scheduling of Earth observation satellites 2

A DQN-based hyperheuristic algorithm for emergency schedulin...

引用

2nd International Conference on Electronics, Communications and Information technology, CECIT 2021

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

ISBN: (纸本)9781665437578

With the surge of emergency task demand, large-scale Earth observation satellite emergency scheduling has become a practical problem which is urgent to be solved. In view of this situation, this paper analyzes the constrains and conflict relationship in this problem, and proposes a DQN-based hyperheuristic algorithm. The algorithm includes encoding and decoding, deep Q-network and several low-level heuristic operators. A Markov decision model of this problem is established and 7 low-level heuristic operators are designed according the feature of this problem. After training, DQN behaves well when selecting operators for the scheduling scheme. Finally, several groups of comparative experiments verify the algorithm's ability in solving large-scale satellite emergency scheduling problems. © 2021 IEEE.

关键词： Personnel training

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：