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	A steady-state target calculation method based on "point" model for integrating processes 期刊论文 OAI收割 ISA Transactions, 2015, 卷号: 56, 页码: 196–205 作者: Pang Q(庞强); Zou T(邹涛); Zhang, Yanyan; Cong QM(丛秋梅) 收藏 \| 浏览/下载：45/0 \| 提交时间：2015/01/09 Steady-state target calculation “Point” model Integrating process Model uncertainty Two-layer model predictive control
	RFID application in manufacturing: A case study on a pilot RFID project in household appliance production 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2012, 卷号: 25, 期号: 1, 页码: 3-10 作者: Zhu, Zhiyuan; Tan, Jie; Ren, He; Ni, Wancheng; Guan, Qiang 收藏 \| 浏览/下载：52/0 \| 提交时间：2015/08/12 manufacturing management process re-engineering integrating costing implementation dynamic scheduling
	Chirp estimation of PZT for integrating-bucket method (EI CONFERENCE) 会议论文 OAI收割 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010, Dalian, China 作者: Zhang J.; Liu W.; Zhang J.; Zhang J. 收藏 \| 浏览/下载：51/0 \| 提交时间：2013/03/25 The nonlinear response of the PZT for the integrating bucket method is studied by our proposed method: discrete chirp Fourier transform (DCFT) and maximum likelihood estimation (MLE) techniques for the integrating bucket method. Based on the signal processing theory the intensity obtained from CCD is processed by the DCFT and thus nonlinear response and chirp coefficient of the PZT can be coarsely estimated. This is followed by the MLE method in which an iterative optimization process is complemented for accurately estimating the nonlinear response and chirp coefficient of the PZT. One key advantage of the proposed method is that not only the nonlinear response and chirp coefficient of the PZT can be acquired but also initial phase acquired. Our method is tested by simulating conditions under which a certain magnitude of nonlinearity is assumed. Nonlinear response attained by the DCFT is compared to that attained by the MLE and a difference between the actual nonlinear response of the PZT and our accurate estimation by the proposed method is revealed. Several factors that will have influence on the nonlinear response of the PZT are discussed. 2010 Copyright SPIE - The International Society for Optical Engineering.
	A sensitive solid-phase time-resolved fluorescence immunoassay apparatus (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, June 17, 2009 - June 19, 2009, Beijing, China 作者: Song K.-F.; Li J.-L.; Zhang W.-L.; Wang Y.-L. 收藏 \| 浏览/下载：54/0 \| 提交时间：2013/03/25 In the device a He-Ne laser of flash frequency 1-20 Hz was adopted as exciting light source and three key technical problems have been solved successfully in order to enhance the detecting sensitivity and measuring stability of the device for time-resolved fluorimmunoassays(TRFIA) [1]. The first one is to design optimum exciting optical system so that the exciting light beam excite the sample most effectively. The second one is to have a project spectrum filter which can reduce the affection of the background light to the photomultiplier tube and also ensure influence of the stray light and mixed diffusion light to the sample fluorescence to the least the sample fluorescence through the integrating sphere and come to the grating monochromator The right wavelength will be chosed through changing the angle of incidence of the grating monochromator. The third one is to simulate the principle of sample averaging of BOXCAR averager. In the device SCM was used as primary controller and CPLD was used as timing controller. Through the preparation process signal-to-noise ratio(SNR) will be improved also adjust delay time ampling frequency and sampling number arbitrarily. By testing the sensitivity is 10-12mol/L(substance marked by Eu3+) examination repeat is &le2.5% examination linearity is from 10 -8mol/L to 10-12mol/L correlation coefficient is 99.98%(p&le0.01). The instrument is advanced for ultrasensitive detection of antigen and antibody and solve the tumor genetic variation the virus protein detection. 2009 SPIE.