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	Design of controlling system in multi-function durability testing device for vehicle vacuum booster with brake master cylinder (EI CONFERENCE) 会议论文 OAI收割 2012 International Conference on Mechanical and Electronic Engineering, ICMEE 2012, June 23, 2012 - June 24, 2012, Hefei, China Hao X.; Zhang R.; Li X.; Wang M. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 The quality of vehicle vacuum booster with brake master cylinder is related to the safe of drivers and automobiles. The testing experiment must be executed strictly before leaving factory based on the national standards.The paper introduces the controlling system of multi-function durability testing device which is designed for doing durable testing experiments and Anti-lock braking system (ABS) performance experiments. The structure and theory of device is presented. The controlling system is illuminated in detail. To test the dynamic property this system was identified by a recursive BP neural network. According to the character of a great deal of sensors and actuators the high precision capabilities and reliability the distributed control mode (DCS) including the computer and PLC by RS-485 bus is utilized. The four channels testing experiments are achieved at the same time. The test data is directly memorized into the computer. The results of general endurance and ABS endurance testing experiments are shown to demonstrate the excellent performance of the testing device. 2012 Springer-Verlag Berlin Heidelberg.
	基于零打扰测试背板的无线传感器网络测试平台期刊论文 OAI收割软件学报, 2012, 卷号: 23, 期号: 4, 页码: 878-893 赵忠华; 皇甫伟; 孙利民; 周新运 \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2012/11/12 Electric network synthesis Network performance Testing Wireless sensor networks
	System identification of tracking error and evaluation of tracking performance using BP neural network (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Zhang N.; Shen X.-H. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 A novel approach for evaluating the tracking performance of optoelectronic theodolite is proposed. First an equivalent mathematic model of tracking error is established. Then the equivalent sine signal is inputted to the equivalent model and the outputs are sampled. The results of evaluating the tracking performance are obtained based on the statistical calculation of output produced by equivalent model. Equivalent model using the BP (Backprogration) neural network structure is identified. The training method of BP neural network adopts the LM (Levenberg-Marquardt) algorithm for the sake of speeding up training process. The BP neural network is trained and tested by using the training and testing samples gotten from the simulation model of optoelectronic theodolite tracking system under MATLAB/SIMULINK. The estimate errors of equivalent model including average error maximum error and standard error are 2.5872e-0060 2.8 and 1.9. The results show that the equivalent model identified based on BP neural network meets the needs of evaluating the tracking performance of optoelectronic theodolite. The accurate evaluation of tracking performance is achieved. 2009 SPIE.
	A new authentication protocol for wireless communication network based on IEEE802.16 (EI CONFERENCE) 会议论文 OAI收割 2008 International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008, December 10, 2008 - December 12, 2008, Sydney, NSW, Australia Li R.; Fang Z.; Cao W.; Yin Y.; Xu P. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 After analyzing the specific security requirements of the wireless communication network based on IEEE802.16 a series of key issues about security methods and techniques were researched. A new authentication protocol for wireless mobile environment was proposed and designed. Then its security was analyzed from the angle of technical realization and formal analysis to verify whether the original safety goals were achieved. Especially formal analysis was mostly done. Finally system testing was also carried out and the results were analyzed to verify function and performance of the new protocol. 2008 IEEE.
	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：26/0 \| 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.
	moteplat: a monitoring and control platform for wireless sensor networks 会议论文 OAI收割 5th International Conference on Grid and Cooperative Computing (GCC 2006), Hunan, PEOPLES R CHINA, OCT 21-23, Sun Limin; Sun Yuyan; Shu Jian; He Qingwei \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/07/28 TinyOS agent mechanism network performance testing node status information acquisition software architecture software module debugging three-tier application framework wireless sensor network control wireless sensor network monitoring performance evaluati
	moteplat: a monitoring and control platform for wireless sensor networks 会议论文 OAI收割 5th International Conference on Grid and Cooperative Computing (GCC 2006), Hunan, PEOPLES R CHINA, OCT 21-23, Sun Limin; Sun Yuyan; Shu Jian; He Qingwei \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2011/07/28 TinyOS agent mechanism network performance testing node status information acquisition software architecture software module debugging three-tier application framework wireless sensor network control wireless sensor network monitoring performance evaluati