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	An Adaptive Thermal-Aware ECC Scheme for Reliable STT-MRAM LLC Design 期刊论文 OAI收割 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2019, 卷号: 27, 期号: 8, 页码: 1851-1860 作者: Wu, Bi; Zhang, Beibei; Cheng, Yuanqing; Wang, Ying; Liu, Dijun \| 收藏 \| 浏览/下载：81/0 \| 提交时间：2019/12/10 Error correction code (ECC) last level cache (LLC) reliability spin-transfer-torque magnetoresistive random-access memory (STT-MRAM) temperature
	Timing generator of scientific grade CCD camera and its implementation based on FPGA technology (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: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 The Timing Generator's functions of Scientific Grade CCD Camera is briefly presented: it generates various kinds of impulse sequence for the TDI-CCD video processor and imaging data output acting as the synchronous coordinator for time in the CCD imaging unit. The IL-E2TDI-CCD sensor produced by DALSA Co.Ltd. use in the Scientific Grade CCD Camera. Driving schedules of IL-E2 TDI-CCD sensor has been examined in detail the timing generator has been designed for Scientific Grade CCD Camera. FPGA is chosen as the hardware design platform schedule generator is described with VHDL. The designed generator has been successfully fulfilled function simulation with EDA software and fitted into XC2VP20-FF1152 (a kind of FPGA products made by XILINX). The experiments indicate that the new method improves the integrated level of the system. The Scientific Grade CCD camera system's high reliability stability and low power supply are achieved. At the same time the period of design and experiment is sharply shorted. 2010 Copyright SPIE - The International Society for Optical Engineering.
	The registration of aerial infrared and visible images (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Educational and Information Technology, ICEIT 2010, September 17, 2010 - September 19, 2010, Chongqing, China 作者: Liu J. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 In order to solve the registration problem of different source image existed on aerial image fusion algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed high accuracy and high reliability. Basically with little restriction of gray level properties a new alignment measure is applied which can efficiently measure the image registration extent and tolerate noise well. Even more the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that the study attains the registration accuracy of pixel level and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms and the registration result has higher accuracy and stability which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect and is easy for application and very suitable for engineering use. 2010 IEEE.
	Application of multi-sensors parallel fusion system in photoelectric tracing (EI CONFERENCE) 会议论文 OAI收割 2008 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Applications, November 16, 2008 - November 19, 2008, Beijing, China Cheng G.-Y.; Cai S.; Gao H.-B.; Zhang S.-M.; Qiao Y.-F. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 To solve the real-time and reliability problem of tracking servo-control system in optoelectronic theodolite a multisensors parallel processing system was proposed. Misdistances of three different wavebands were imported into system and then prediction was done in DSP1 to get the actual position information. Data fusion was accomplished in PPGA imported by multi channel buffer serial port. The compound position information was used to control the theodolite. The results were compared with external guide data in DSP2 to implement correction of above calculation and then were imported to epistemic machine through PXI interface. The simulation experiment of each calculation unit showed that this system could solve the real-time problem of feature level data fusion. The simulation result showed that the system can satisfy the real-time requirement with 1.25ms in theodolite with three imaging systems while sampling frequency of photoelectric encoder was 800 Hz. 2009 SPIE.
	Microstructural evolution and cracking of Pb-free ball grid array assemblies under thermal cycling 期刊论文 OAI收割 Journal of Materials Science & Technology, 2007, 卷号: 23, 期号: 1, 页码: 85-91 W. Wang; Z. G. Wang; A. P. Xian; J. K. Shang 收藏 \| 浏览/下载：20/0 \| 提交时间：2012/04/13 CBGA thermal cycling FEM assembly cracking solder joint reliability level reliability flex-substrate interconnect snagcu bga segregation packages behavior bismuth
	Low power frame buffer pixel circuits for LCoS microdisplays (EI CONFERENCE) 会议论文 OAI收割 13th International Display Workshops, IDW '06, December 6, 2006 - December 6, 2006, Otsu, Japan Song Y.; Ling Z. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 In the frame buffer pixel circuits extra power was dissipated to implement the data transfer operation. Extra power dissipation can not only increase power but also decrease the device reliability. One method to deal with it at pixel level is needed. In this novel pixel circuit one PMOS transistor acts as a simple analog comparator in order to determine whether the discharging by comparing the current pixel voltage and the next frame data voltage.