Journal of Systems Engineering and Electronics最新文献_第9页

Method of SLAS's ground track manipulation based on tangential impulse thrust 基于切向脉冲推力的SLAS地面航迹操纵方法

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000125

Le Xinlong;Cao Xibin;Dai Yu;Wu Fan

引用次数: 0

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game 公共产品博弈框架下无人集群自主协作的策略主导机制

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000131

Pan Li;Wu Zhonghong;Yu Minggang;Liu Jintao;Mei Dan

{"title":"Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game","authors":"Pan Li;Wu Zhonghong;Yu Minggang;Liu Jintao;Mei Dan","doi":"10.23919/JSEE.2023.000131","DOIUrl":"https://doi.org/10.23919/JSEE.2023.000131","url":null,"abstract":"The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration in unmanned swarm; and an aspiration-driven multiplayer evolutionary game model is established based on the requirement. Then the average abundance function and strategy dominance condition of the model are constructed by theoretical derivation. Furthermore, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via simulation, and the influences of the multiplication factor r, aspiration level a, threshold \u0000<tex>$m$</tex>\u0000 and other parameters on the strategy dominance conditions were simulated for both linear and threshold public goods games (PGGs) to determine the strategy dominance characteristics; Finally, deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"34 5","pages":"1252-1266"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radar emitter signal recognition method based on improved collaborative semi-supervised learning 基于改进的协同半监督学习的雷达辐射源信号识别方法

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000126

Jin Tao;Zhang Xindong

{"title":"Radar emitter signal recognition method based on improved collaborative semi-supervised learning","authors":"Jin Tao;Zhang Xindong","doi":"10.23919/JSEE.2023.000126","DOIUrl":"https://doi.org/10.23919/JSEE.2023.000126","url":null,"abstract":"Rare labeled data are difficult to recognize by using conventional methods in the process of radar emitter recognition. To solve this problem, an optimized cooperative semisupervised learning radar emitter recognition method based on a small amount of labeled data is developed. First, a small amount of labeled data are randomly sampled by using the bootstrap method, loss functions for three common deep learning networks are improved, the uniform distribution and cross-entropy function are combined to reduce the overconfidence of softmax classification. Subsequently, the dataset obtained after sampling is adopted to train three improved networks so as to build the initial model. In addition, the unlabeled data are preliminarily screened through dynamic time warping (DTW) and then input into the initial model trained previously for judgment. If the judgment results of two or more networks are consistent, the unlabeled data are labeled and put into the labeled data set. Lastly, the three network models are input into the labeled dataset for training, and the final model is built. As revealed by the simulation results, the semi-supervised learning method adopted in this paper is capable of exploiting a small amount of labeled data and basically achieving the accuracy of labeled data recognition.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"34 5","pages":"1182-1190"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on strategic risk identification method of equipment system development based on system dynamics 基于系统动力学的装备系统开发战略风险识别方法研究

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000124

Wang Xinfeng;Wang Tao;Zhou Xin;Wang Yanfeng

引用次数: 0

Attention mechanism based multi-scale feature extraction of bearing fault diagnosis 基于注意机制的轴承故障诊断多尺度特征提取

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000129

Lei Xue;Lu Ningyun;Chen Chuang;Hu Tianzhen;Jiang Bin

{"title":"Attention mechanism based multi-scale feature extraction of bearing fault diagnosis","authors":"Lei Xue;Lu Ningyun;Chen Chuang;Hu Tianzhen;Jiang Bin","doi":"10.23919/JSEE.2023.000129","DOIUrl":"https://doi.org/10.23919/JSEE.2023.000129","url":null,"abstract":"Effective bearing fault diagnosis is vital for the safe and reliable operation of rotating machinery. In practical applications, bearings often work at various rotational speeds as well as load conditions. Yet, the bearing fault diagnosis under multiple conditions is a new subject, which needs to be further explored. Therefore, a multi-scale deep belief network (DBN) method integrated with attention mechanism is proposed for the purpose of extracting the multi-scale core features from vibration signals, containing four primary steps: preprocessing of multi-scale data, feature extraction, feature fusion, and fault classification. The key novelties include multi-scale feature extraction using multiscale DBN algorithm, and feature fusion using attention mechanism. The benchmark dataset from University of Ottawa is applied to validate the effectiveness as well as advantages of this method. Furthermore, the aforementioned method is compared with four classical fault diagnosis methods reported in the literature, and the comparison results show that our proposed method has higher diagnostic accuracy and better robustness.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"34 5","pages":"1359-1367"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability analysis for wireless communication networks via dynamic Bayesian network 基于动态贝叶斯网络的无线通信网络可靠性分析

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000130

Yang Shunqi;Zeng Ying;Li Xiang;Li Yanfeng;Huang Hongzhong

引用次数: 0

Robust dual-channel correlation algorithm for complex weak target detection with wideband radar 宽带雷达复杂弱目标检测的鲁棒双通道相关算法

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000138

Dai Yan;Liu Dan;Li Chuanming;Wei Shaopeng;Hu Qingrong

{"title":"Robust dual-channel correlation algorithm for complex weak target detection with wideband radar","authors":"Dai Yan;Liu Dan;Li Chuanming;Wei Shaopeng;Hu Qingrong","doi":"10.23919/JSEE.2023.000138","DOIUrl":"https://doi.org/10.23919/JSEE.2023.000138","url":null,"abstract":"In the scene of wideband radar, due to the spread of target scattering points, the attitude and angle of view of the target constantly change in the process of moving. It is difficult to predict, and the actual echo of multiple scattered points is not fully matched with the transmitted signal. Therefore, it is challenging for the traditional matching filter method to achieve a complete matching effect in wideband echo detection. In addition, the energy dispersion of complex target echoes is still a problem in radar target detection under broadband conditions. Therefore, this paper proposes a wideband target detection method based on dual-channel correlation processing of rangeextended targets. This method fully uses the spatial distribution characteristics of target scattering points of echo signal and the matching characteristics of the dual-channel point extension function itself. The radial accumulation of wideband target echo signal in the complex domain is realized through the adaptive correlation processing of a dual-channel echo signal. The accu-mulation effect of high matching degree is achieved to improve the detection probability and the performance of wideband detection. Finally, electromagnetic simulation experiments and measured data verify that the proposed method has the advan-tages of high signal to noise ratio (SNR) gain and high detection probability under low SNR conditions.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"34 5","pages":"1130-1146"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LSTM-DPPO based deep reinforcement learning controller for path following optimization of unmanned surface vehicle 基于LSTM-DPPO的无人机路径跟踪优化深度强化学习控制器

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000113

Xia Jiawei;Zhu Xufang;Liu Zhong;Xia Qingtao

引用次数: 0

Research on agile space emergency launching mission planning simulation and verification method 敏捷空间应急发射任务规划仿真验证方法研究

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000067

Wu Feng;Liu Xiuluo;Wang Jia;Li Chao;Liu Ying;Su Jianbin;Zhang Ailiang;Wang Min

{"title":"Research on agile space emergency launching mission planning simulation and verification method","authors":"Wu Feng;Liu Xiuluo;Wang Jia;Li Chao;Liu Ying;Su Jianbin;Zhang Ailiang;Wang Min","doi":"10.23919/JSEE.2023.000067","DOIUrl":"https://doi.org/10.23919/JSEE.2023.000067","url":null,"abstract":"Space emergency launching is to send a satellite into space by using a rapid responsive solid rocket in the bounded time to implement the emergency Earth observation mission. The key and difficult points mainly include the business process construction of launching mission planning, validation of the effectiveness of the launching scheme, etc. This paper proposes the agile space emergency launching mission planning simulation and verification method, which systematically constructs the overall technical framework of space emergency launching mission planning with multi-field area, multi-platform and multi-task parallel under the constraint of resource scheduling for the first time. It supports flexible reconstruction of mission planning processes such as launching target planning, trajectory planning, path planning, action planning and launching time analysis, and can realize on-demand assembly of operation links under different mission scenarios and different plan conditions, so as to quickly modify and generate launching schemes. It supports the fast solution of rocket trajectory data and the accurate analysis of multi-point salvo time window recheck and can realize the fast conflict resolution of launching missions in the dimensions of launching position and launching window sequence. It supports lightweight scenario design, modular flexible simulation, based on launching style, launching platform, launching rules, etc., can realize the independent mapping of mission planning results to two-dimensional and three-dimensional visual simulation models, so as to achieve a smooth connection between mission planning and simulation.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"34 5","pages":"1267-1284"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scene image recognition with knowledge transfer for drone navigation 基于知识转移的无人机导航场景图像识别

3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2023-10-01 DOI: 10.23919/JSEE.2023.000096

Du Hao;Wang Wei;Wang Xuerao;Zuo Jingqiu;Wang Yuanda

引用次数: 0