中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Applications of differential barometric altimeter in ground cellular communication positioning network 期刊论文 OAI收割 IET SCIENCE MEASUREMENT & TECHNOLOGY, 2020, 卷号: 14, 期号: 3, 页码: 322-331 作者: Hu, Zhengqun; Zhang, Lirong; Ji, Yuanfa \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/12/06 cellular radio height measurement measurement errors Global Positioning System altimeters barometers least squares approximations Kalman filters surface fitting spread spectrum communication compensation matrix algebra GPS signal message structure power spectrum spread spectrum ranging signal fitting parameters least-square solution calibration compensation system noise variance matrix measurement noise variance matrix multibase station correction height information correction calculation DBA system systematic performance differential barometric altimeter ground cellular communication positioning network measurement datum distribution altitude positioning error Global Positioning System differential barometric altimetry system systematic implementation level continuous altitude measurement precise altitude measurement DBA systematic implementation aspect two dimensional curved surface fitting function sensor measurement correction filtering effect Kalman filter measuring station multiBSs navigation fusion
	P4SC: A High Performance and Flexible Framework for Service Function Chain 期刊论文 OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 160982-160997 作者: Zhang, Dong; Chen, Xiang; Huang, Qun; Hong, Xiaoyan; Wu, Chunming \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2020/12/10 Performance evaluation Runtime Noise measurement Hardware Network function virtualization Generators Research and development Network function virtualization service function chain P4 software defined networking
	A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 卷号: 58, 期号: 6, 页码: 2126-2137 作者: Yang, Yu; Xu, Yongjun; Li, Xiaowei; Chen, Canfeng \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2019/12/16 Cyber-physical ecosystems (CPEs) data aggregation digital ecosystems (DEs) network performance measurement network tomography wireless sensor networks (WSNs)
	Predication emission of an intelligent marine diesel engine based on modeling of BP neural networks 会议论文 OAI收割 ., 2010-08-10 Wang,Mingyv; Zhang,Shaojun; Zhang,Jundong; Ma,Qiang \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2011/07/22 Atmospheric Pressure Diesel Engines Exhaust Systems (Engine) Marine Engines Measurement Errors Network Performance Speech Recognition
	On evaluating the differences of TCP and ICMP in network measurement 期刊论文 OAI收割 COMPUTER COMMUNICATIONS, 2007, 卷号: 30, 期号: 2, 页码: 428-439 作者: Li Wenwei; Zhang Dafang; Yang Jinmin; Xie Gaogang \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2019/12/16 network measurement network performance performance measurement TCP ICMP
	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：27/0 \| 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.