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Chinese Academy of Sciences Institutional Repositories Grid
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Research of Modeling in Complex Manufacturing-process-oriented Visual Production 会议论文  OAI收割
2nd International Conference on Electrical, Computer Engineering and Electronics (ICECEE), Jinan, PEOPLES R CHINA, MAY 29-31, 2015
作者:  
Pan FC(潘福成);  Li P(里鹏)
收藏  |  浏览/下载:20/0  |  提交时间:2015/09/15
Risk Models for the Prize Collecting Steiner Tree Problems with Interval Data 期刊论文  OAI收割
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2014, 卷号: 30, 期号: 1, 页码: 1-26
作者:  
AlvarezMiranda Eduardo;  CandiaVejar Alfredo;  Chen Xujin;  Hu Xiaodong;  Li Bi
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/01/14
Development and radiance calibration of three-waveband camera (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photonics and Optoelectronics, SOPO 2010, June 19, 2010 - June 21, 2010, Chengdu, China
作者:  
Wang J.;  Liu Y.;  Liu Y.;  Sun Q.;  Liu Y.
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
An imaging system with three-waveband sharing one lens and an area CCD was developed. By rotating different filters into the beam path  the required waveband was selected. The optical system which can image in ultraviolet  visible and near infrared region was designed and the signal collecting system was integrated. The optical design and system integration have some advantages such as low cost  small size and light in weight. To obtain a high imaging quality  the radiation calibration is carried out in order to establish the relation between the average grey level of output image and the input radiance from the integrating sphere. According to the calibration data in experiments  the radiation dynamic range and the best working point of the system are determined. The experiment result shows that the dynamic range of the image system is maximal when the exposure time is 8ms in ultraviolet  0.5ms in visible and 0.125ms in near infrared region. 2010 IEEE.  
The signal extraction of fetal heart rate based on wavelet transform and BP neural network (EI CONFERENCE) 会议论文  OAI收割
Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, November 29, 2004 - December 1, 2004, Singapore, Singapore
Hong Y. X.; Cheng Z. B.; Dai F. H.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
This paper briefly introduces the collection and recognition of bio-medical signals  the other threading is analyzing data. Using the method  designs the method to collect FM signals. A detailed discussion on the system hardware  it is broaden to analyze the signal in real-time. Wavelet transform to remove the main interference in the FM and by adding time-window to recognize with BP network  structure and functions is also given. Under LabWindows/CVI  Finally the results of collecting signals and BP networks are discussed.8 pregnant women's signals of FM were collected successfully by using the sensor. The correctness rate of BP network recognition is about 83.3% by using the above measure.  the hardware and the driver do compatible  the hardware equipment work properly actively. The paper adopts multi threading technology for real-time analysis and makes use of latency time of CPU effectively  expedites program reflect speed  improves the program to perform efficiency. One threading is collecting data