机构

• 工程热物理研究所 [5]
• 深圳先进技术研究院 [3]
• 地理科学与资源研究所 [1]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]

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• OAI收割 [11]

内容类型

• 会议论文 [11]

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• 2016 [1]
• 2014 [1]
• 2012 [3]
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学科主题

• Structures... [1]
• Structures... [1]
• Turbomachi... [1]

筛选

浏览/检索结果: 共11条，第1-10条 帮助 限定条件 内容类型：会议论文     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A Single Formulation for Uncertainty Propagation in Turbomachinery: SAMBA PC 会议论文  OAI收割 作者:  Richard Ahlfeld and Francesco Montomoli   |  收藏  |  浏览/下载：14/0  |  提交时间：2017/08/30 Statistical analysis of the magnetic resonance transmit radiofrequency field by the saturated Turbo FLASH method 会议论文  OAI收割 ICLTEE 2014 作者:  Qiao Fu Zhang;  Xiao Qing Hu;  Yan Jie Zhu;  Ye Li 收藏  |  浏览/下载：13/0  |  提交时间：2015/09/02 Experimental Characterization of human body communication in shield chamber 会议论文  OAI收割 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering, Hong Kong and Shenzhen, China 作者:  Nie Zedong;  Leng Tengfei;  Wang Wenchen;  Guan Feng;  Wang Lei 收藏  |  浏览/下载：11/0  |  提交时间：2015/08/25 On Uncertainty Propagation in Mass, Damping and Stiffness Matrices Identification of Mechanical Systems 会议论文  OAI收割 ASME, Copenhagen, Denmark, 2012-06-11 Luis U. Medina; Sergio E. Díaz; Ningsheng Feng; Eric J. Hahn 收藏  |  浏览/下载：11/0  |  提交时间：2012/08/13 On Uncertainty Propagation in Mass, Damping and Stiffness Matrices Identification of Mechanical Systems 会议论文  OAI收割 Copenhagen, Denmark, 2012-06-11 作者:  Ningsheng Feng;  Luis U. Medina;  Eric J. Hahn;  Sergio E. Díaz   |  收藏  |  浏览/下载：5/0  |  提交时间：2012/08/13 Enhanced epipolar constraint for point correspondence in computer vision system 会议论文  OAI收割 International Conference on Information Technology for Manufacturing Systems (ITMS 2011), Shanghai, PEOPLES R CHINA 作者:  Qing He;  Ning Wei;  Wei Liu;  Chao Hu;  Max Q.-H.Meng 收藏  |  浏览/下载：13/0  |  提交时间：2015/08/25 Propagation and visualization of uncertainty in NL-based spatial analysis 会议论文  OAI收割 Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Vol I: Spatial Uncertainty, Liverpool Guo, Danhuai 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 spatial analysis  natural language  natural language-based spatial  analysis  uncertainty propagation  uncertainty visualization  confidence   Investigation Into the Effect of Uncertainty in Thermal Properties on Turbomachinery Disc Heat Transfer Using Both a Monte Carlo Simulation Technique and a Taylor Series Uncertainty Propagation Method 会议论文  OAI收割 ASME:Heat Transfer: Internal Air & Seals (Joint with Turbomachinery Committee), 2007 Adam Cooke, Peter Childs, and Christopher Long 收藏  |  浏览/下载：4/0  |  提交时间：2011/11/28 Investigation Into the Effect of Uncertainty in Thermal Properties on Turbomachinery Disc Heat Transfer Using Both a Monte Carlo Simulation Technique and a Taylor Series Uncertainty Propagation Method 会议论文  OAI收割 2007 Adam Cooke, Peter Childs, and Christopher Long   |  收藏  |  浏览/下载：5/0  |  提交时间：2011/11/28 Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文  OAI收割 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.