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A Structure and Circuit Coupling Modeling Method for Flexible Interconnection Points and Transmission Performance of Gold Belt in Microwave Modules 会议论文  OAI收割
Hong Kong, China, August 12, 2019 - August 15, 2019
作者:  
Tian, Jun;  Wang, Congsi;  Liu, Shaoyi;  Zhu, Cheng;  Zhou, Cheng
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/07/06
EXTP: Enhanced X-ray Timing and Polarization mission 会议论文  OAI收割
Edinburgh, United kingdom, June 26, 2016 - July 1, 2016
作者:  
Zhang, S. N.;  Feroci, M.;  Santangelo, A.;  Dong, Y. W.;  Feng, H.
  |  收藏  |  浏览/下载:63/0  |  提交时间:2019/12/18
Design of driving circuit for binocular CCD image system (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
The paper designs a driving circuit of high sensitive  wide dynamic and high signal-to-noise ratio for binocular CCD imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Inner structure and driving timing of the FTF5066M sensor are presented. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the two sensors. By using the Correlated Double Sampling (CDS) technique  the video noise is reduced and the SNR of the system is increased. A 12- bit A/D converter is used to improve the image quality. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel. For its good performance  low power consumption and small volume  the driving system can be applied to aeronautics and astronautics field. With a further improvement  a maximum data output rate of 2.7 frames per second can be reached through all the eight channels of the two CCDs. 2010 Copyright SPIE - The International Society for Optical Engineering.  
Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文  OAI收割
2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China
Zhang M.; Ren J.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
The paper designs a driving circuit of high sensitive  wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique  the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.  
rule-based publish-subscribe mechanism for real-time applications 会议论文  OAI收割
8th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, Shanghai, China, 43983
Li Xin; Jia Zhiping; Lu Xinjie; Wang Haiyang
  |  收藏  |  浏览/下载:12/0  |  提交时间:2011/03/20
a novel qos-enable real-time publish-subscribe service 会议论文  OAI收割
2008 International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008, Sydney, NSW, Australia, 40878
Lu Xinjie; Yang Tian; Liao Zaifei; Li Xin; Wang Yongyan; Liu Wei; Wang Hongan
  |  收藏  |  浏览/下载:19/0  |  提交时间:2011/06/13
An image identification system of seal with fingerprint based on CMOS image sensor (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Xue X.-C.
收藏  |  浏览/下载:10/0  |  提交时间:2013/03/25
CMOS image sensors now become increasingly competitive with respect to their CCD counterparts  while adding advantages such as no blooming  simpler driving requirements and the potential of on-chip integration of sensor  analog signal conditioning circuits  A/D converter and digital processing functions. Furthermore  CMOS sensors are the best choices for low-cost imaging systems. An image identification system based on CMOS image sensor is used to identify the seal images that include fingerprint  and then determine whether the seal is fake or not. The system consists of a color CMOS image sensor (OV2610)  a buffer memory  a CPLD  a MCU (P89C61X2)  a USB2.0 interface chip (ISP1581) and a personal computer. The CPLD implement the logic and timing of the system. The MCU and the USB2.0 interface chip deal with the communications between the images acquisition system and PC. Thus PC can send some parameters and commands to the images acquisition system and also read image data from it. The identification of the images of seal is processed by the PC. The structure and scheme of the system are discussed in detail in this paper. Several test images of seal taken by the system are also provided in the paper.  
Selective Recycling of Cu Alloys from Metal-Rich Particles of Crushed Waste Printed Circuit Boards by High-Temperature Centrifugation 会议论文  OAI收割
San Diego, CA, United states, February 23, 2020 - February 27, 2020
作者:  
Meng, Long;  Zhong, Yiwei;  Wang, Zhe;  Guo, Zhancheng
  |  收藏  |  浏览/下载:0/0  |  提交时间:2023/06/16