2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献_第4页

Study on self-adaptive fusion model with DST and PCR5 基于DST和PCR5的自适应融合模型研究

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867203

Lujun Li, Yanhong Duan, Hui Xie, Changxi Li

引用次数: 0

Face recognition based on wavelet transform and neural network 基于小波变换和神经网络的人脸识别

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867481

Yu Fan, W. Zhu, Guangzhou Bai, Taibo Li

引用次数: 3

A hybrid TOA/AOA positioning method based on GDOP-weighted fusion and its Accuracy Analysis 基于gdp加权融合的TOA/AOA混合定位方法及其精度分析

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867107

Fanzeng Kong, Xiukun Ren, Nae Zheng, Guojun Chen, Jiaan Zheng

引用次数: 5

A robust damaged fingerprint identification algorithm based on deep learning 一种基于深度学习的鲁棒损伤指纹识别算法

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867371

Wang Yani, Wu Zhendong, Zhang Jianwu, Chen Hongli

{"title":"A robust damaged fingerprint identification algorithm based on deep learning","authors":"Wang Yani, Wu Zhendong, Zhang Jianwu, Chen Hongli","doi":"10.1109/IMCEC.2016.7867371","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867371","url":null,"abstract":"With the development of science and the improvement of social information, Biological Recognition Technology (BIT) is becoming increasingly important. Among them, the fingerprint identification technology has become the hot spot because of its feasibility and reliability. The traditional fingerprint identification method relies on matching feature points to get the similarity. Undoubtedly, this method needs a long time to find the feature points, and with the rotation, scaling, damage and other problems of the fingerprint, the robustness is decreased seriously. Aiming at these problems, we propose a robust damaged fingerprint recognition algorithm, which is based on Convolution Neural Network (CNN) of deep learning. It not only has a high resistance to abnormal degeneration, and the recognition process is also simpler than the feature points matching algorithm. In the end of the essay, the recognition rate based on deep learning is compared with the fingerprint identification algorithm based on Kernel Principal Component Analysis (KPCA). Experiments' results show that fingerprint recognition based on deep learning has a higher robustness.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115867845","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: 6

Simulation analysis on static scattering characteristics of stealth aircraft 隐身飞机静态散射特性仿真分析

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867524

Lei Zhu, X. Liang, Jiong Li, Rui Li

引用次数: 6

Image classification based on hash codes and space pyramid 基于哈希码和空间金字塔的图像分类

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867183

Peng Tian-qiang, Li Fang

引用次数: 1

Coin detection and recognition in the natural scene 硬币在自然场景中的检测与识别

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867290

Zi-he Qiu, Ping Shi, Da Pan, Dixiu Zhong

引用次数: 2

The key technology and simulation of UAV flight monitoring system 无人机飞行监控系统关键技术及仿真

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867478

Xu Pengbo, Ji Guodong, Lu Libin, Tan Lining, Ning Jigan

引用次数: 4

Influence of the low-temperature AlN interlayers on the electrical properties of AlGaN/GaN heterostructure on Si substrate 低温AlN中间层对Si衬底上AlGaN/GaN异质结构电性能的影响

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867422

Zhiyuan He, Shaoqing Liu, J. Hu, Huawei Xu, Qingli Huang, Qunxing Liu

引用次数: 1

Multi-UCAV cooperative autonomous attack path planning method under uncertain environment 不确定环境下多无人机协同自主攻击路径规划方法

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI: 10.1109/IMCEC.2016.7867275

Hanqiao Huang, Y. Wang, Huan Zhou, Kangsheng Dong, Heming Liu

{"title":"Multi-UCAV cooperative autonomous attack path planning method under uncertain environment","authors":"Hanqiao Huang, Y. Wang, Huan Zhou, Kangsheng Dong, Heming Liu","doi":"10.1109/IMCEC.2016.7867275","DOIUrl":"https://doi.org/10.1109/IMCEC.2016.7867275","url":null,"abstract":"Path planning of the unmanned aerial vehicle(UAV) under the condition of uncertainty of environment remains a challenge because of many constraints. In this paper, a multiple unmanned combat aerial vehicle (multi-UCAV) cooperative autonomous attack path planning method under complex and uncertain environment is put forward. A general framework of multi-UCAV cooperative combat and autonomous attack is designed. Then, the relative movement situation of the UCAV formation is studied and the task assignment model for attacking multi-target is established. On this basis, an improved ant colony algorithm (ACA) is used to solve the corresponding optimal problem. By taking the three degrees of freedom model of UCAV as a core and considering various constraints such as aerodynamic characteristics, thrust variation, target projection area and threat area, an accurate cooperative autonomous attack path planning model for multi-UCAV is built and an improved rolling pseudospectral method(RPM) is applied to calculate the optimal trajectory from the current location to the launch acceptable region. Simulation results show that the proposed ACA and RPM can deal with the task assignment and path planning of multi-UCAV effectively, and they have higher precision and better real-time compared with some existed methods.","PeriodicalId":218222,"journal":{"name":"2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128936269","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: 2