2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献_第8页

Radar Emitter Signal Recognition based on Contour Lines of Ambiguity Function and Stacked Denoising Auto-encoders 基于模糊函数等高线和叠置去噪自编码器的雷达发射信号识别

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482229

Yunwei Pu, Jiang Guo, Taotao Liu, Haixiao Wu

{"title":"Radar Emitter Signal Recognition based on Contour Lines of Ambiguity Function and Stacked Denoising Auto-encoders","authors":"Yunwei Pu, Jiang Guo, Taotao Liu, Haixiao Wu","doi":"10.1109/IMCEC51613.2021.9482229","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482229","url":null,"abstract":"Aiming at many problems of complex radar emitter signal recognition methods, like poor anti-noise performance and low recognition rate. In this paper, a new recognition method based on contour lines of ambiguity function and stacked denoising auto-encoders is proposed. First, an ambiguity function is processed by the Gaussian smoothing and calculate contour lines by linear interpolation. Then, principal component analysis is used to reduce its feature dimension, retain the main ambiguity energy information. Finally, deep learning stacked denoising auto-encoders are built to learn and extract the deep and more ubiquitous features of contour lines, and classify them through the Softmax classifier. The simulated experiments show that the overall average recognition rate of the six typical radar signals is maintained above 99.83% when the signal-noise ratio is 0dB. Even in the -6dB environment, it also can reach 83.67%, which proves this method has good performance and feasibility under the extremely low signal-noise ratio conditions.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An On-line Evaluation Method of Multi-Functional Radar Jamming Effect 一种多功能雷达干扰效果在线评估方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482222

Bakun Zhu, Weigang Zhu, Wei Li, Tianhao Gao

引用次数: 1

Number-Based Strings/Passwords From Imaginary Graphs Of Topological Coding For Encryption 基于数字字符串/密码的拓扑编码虚图加密

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482105

Hongyu Wang, B. Yao, Jing Su, Wan-Jia Zhang

引用次数: 2

Design and pragtfctice of heterogeneous multi-system message center 异构多系统消息中心的设计与实现

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482166

Wenyuan Zhao, YunChang Cheng, Yufang Tang, Dandan Li

{"title":"Design and pragtfctice of heterogeneous multi-system message center","authors":"Wenyuan Zhao, YunChang Cheng, Yufang Tang, Dandan Li","doi":"10.1109/IMCEC51613.2021.9482166","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482166","url":null,"abstract":"With the acceleration of informatization, more and more tool software and application systems are born. The systems are independent of each other, with different structures, and there are a lot of messages. System users often have to switch between the systems to see if there are tasks that need to be processed. There is no unified message entry or message reminder, and more and more systems are used. Burden. Use message middleware to centrally distribute various system tasks, and use system automatic push to remind users of message processing in real time to increase system efficiency and reduce message processing and receiving time. Synchronous/asynchronous sending and receiving of distributed applications and traditional applications, as well as unified communication interface specifications for applications, ensure the continuity and spreadability of the system. At the same time, it ensures that the messages sent and received are accurate and reliable under the condition of heterogeneous and multi-systems, reducing the coupling between the business system and the processing system, and playing a role of loose coupling.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134574829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality 用非线性格兰杰因果关系分析数学天才大脑的有效连通性

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482324

Xiang Jiang, Haixian Wang

{"title":"Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality","authors":"Xiang Jiang, Haixian Wang","doi":"10.1109/IMCEC51613.2021.9482324","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482324","url":null,"abstract":"As the cornerstone of natural sciences, mathematics influences and changes our technology oriented world in systematic and progressive ways. The importance of fostering and developing mathematically gifted children/adolescents has been acknowledged widely. Spectral measures of linear Granger causality have been widely applied to study the causal connectivity between time series data in neuroscience, biology, and economics. Traditional Granger causality measures are based on linear autoregressive with exogenous inputs models of time series data, which cannot truly reveal nonlinear effects in the data especially in the frequency domain. In this paper, we used nonlinear Granger causality based on kernel methods to study the effective connectivity between the frontal brain area and the posterior brain area in the mathematical frontoparietal network system during deductive reasoning tasks. It was founded that the frontoparietal regions of the math-gifted show stronger working memory information processing at the θ-band and math-gifted group show more significant increase in the mid-front brain area and the posterior parietal area compared with control group.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on 3D Medical Image Segmentation based on improved 3D-Unet 基于改进3D- unet的三维医学图像分割研究

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482365

Hailan Yu, Weili Chen

引用次数: 1

An Optimized Scheme of Random Access Procedure for Power Wireless Private Network 电力无线专网随机接入程序的优化方案

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482248

Weibin Hou, Bin Du, Qi Wang, Jie Zhou, Weiping Shao, Weijun Zheng, Jiadong Du

引用次数: 0

Image saliency detection method for safe operation of substation 变电站安全运行的图像显著性检测方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482234

Pengfei Sheng, Qi Yin, Y. Shen

{"title":"Image saliency detection method for safe operation of substation","authors":"Pengfei Sheng, Qi Yin, Y. Shen","doi":"10.1109/IMCEC51613.2021.9482234","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482234","url":null,"abstract":"Aiming at the problem that methods based on background templates in existing substation scenes cannot completely detect salient targets with similar characteristics in some areas and the background, a salient target integrity detection method based on contour detection is proposed. First, extract the initial contours of the input image, use the proposed virtual connection-based contour processing scheme to merge adjacent contours and remove isolated contours, and use the designed shortest path-based closed-loop search scheme to merge the contours with longer distances to obtain Saliency map for contour detection. Then, an adaptive threshold segmentation algorithm is used to process the saliency map based on background template suppression to obtain the binarized saliency map and the salient pixels. By removing the complete area of the contour with the proportion of salient pixels smaller than the specified threshold, an optimized saliency map based on contour detection is obtained. Finally, merge it with the binarized saliency map to obtain a complete saliency map. The results prove that the method in this paper can obtain a better saliency map for images where the saliency target is located at any position.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":" 371","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131977699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Level set segmentation method based on local area fitting information and guided filter fuzzy clustering 基于局部拟合信息和引导滤波模糊聚类的水平集分割方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482136

Cheng Yang, Y. Xue

{"title":"Level set segmentation method based on local area fitting information and guided filter fuzzy clustering","authors":"Cheng Yang, Y. Xue","doi":"10.1109/IMCEC51613.2021.9482136","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482136","url":null,"abstract":"Image segmentation plays an important role in many aspects of medical image analysis, especially in computer-aided diagnosis. In order to obtain a more accurate target contour, solve the problem that the level set method is sensitive to the initial contour, and make the algorithm more robust to noise, this thesis uses the guided filter fuzzy clustering algorithm to perform image pre-segmentation, and then combines with the level set model based on local area fitting information. First, the fuzzy clustering algorithm is used to obtain the control parameters of the level set evolution. Then, combined with the local neighborhood characteristics of the image points, the regional term coefficients and edge stop functions of the level set model are improved. Finally, the Gaussian Laplacian energy term is introduced to enhance the edge information of the target. Experiments have proved that the algorithm model proposed in this thesis realizes the automation of the initial contour of the level set, and at the same time improves the accuracy of segmentation, and is more robust to noise.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time synchronization method based on time interval measurement 基于时间间隔测量的时间同步方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482349

Chen Xiaomao, Liu Chunfei, Fan Yiwei, Guo Ning

引用次数: 0