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CORC

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Feasibility Study of Heterogeneous Resonance Integral Table of 238U 期刊论文
Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2018, 卷号: 52, 页码: 1174-1180
作者:  Zhang, Qian;  Li, Song;  Zhao, Qiang;  Wu, Hongchun;  Zhuang, Kun
收藏  |  浏览/下载：3/0  |  提交时间：2019/11/19
Time-varying formation tracking for high-order multi-agent systems with switching topologies and a leader of bounded unknown input 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 卷号: 355, 页码: 2808-2825
作者:  Yu, Jianglong;  Dong, Xiwang;  Li, Qingdong;  Ren, Zhang
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30
Antijamming Schemes for Interference-Alignment-Based Wireless Networks 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 卷号: 66, 页码: 1271-1283
作者:  Zhao, Nan;  Guo, Jing;  Yu, F. Richard;  Li, Ming;  Leung, Victor C. M.
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
Beneficial Jamming Design for Interference Alignment Networks 会议论文
2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2017-01-01
作者:  Guo, Jing;  Cao, Yang;  Yang, Zhutian;  Zhao, Nan;  Yu, F. Richard
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/03
Hidden moving target defense in smart grids 会议论文
作者:  Tian, Jue;  Tan, Rui;  Guan, Xiaohong;  Liu, Ting
收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26
Spinning reserve width of generator unit: concept, properties and applications, part I: concept and properties 期刊论文
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 卷号: 36, 期号: [db:dc_citation_issue], 页码: 4808-4816
作者:  Zhai, Qiaozhu;  Tian, Jianfang;  Mao, Yashan
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
Spinning reserve width of generator unit: concept, properties and applications, part II: applications in UC with up and down spinning reserve requirements 期刊论文
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2016, 卷号: 36, 页码: 6343-6350
作者:  Zhai, Qiaozhu;  Tian, Jianfang;  Mao, Yashan
收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26
A Novel Anti-Jamming Scheme for Interference Alignment (IA)-Based Wireless Networks 会议论文
2015 IEEE/CIC International Conference on Communications in China (ICCC), Shenzhen, PEOPLES R CHINA, 2015-01-01
作者:  Guo, Jing;  Zhao, Nan;  Yu, F. Richard;  Li, Ming;  Leung, Victor C. M.
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/09
On optimal guidance arithmetic of Super-maneuverable aircraft (EI CONFERENCE) 会议论文
30th Chinese Control Conference, CCC 2011, July 22, 2011 - July 24, 2011, Yantai, China
Qin S.; Gong Y.; Liu Y.; Wang Z.; Peng S.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.  

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