中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共14条,第1-10条 帮助

条数/页: 排序方式:
Small molecule agonist of mitochondrial fusion repairs mitochondrial dysfunction 期刊论文  OAI收割
NATURE CHEMICAL BIOLOGY, 2023, 卷号: 19, 期号: 4, 页码: 468-+
作者:  
Guo,Yingjie;  Zhang,Huan;  Yan,Chen;  Shen,Birong;  Zhang,Yue
  |  收藏  |  浏览/下载:18/0  |  提交时间:2024/07/25
Analysis of small RNAs derived from Chinese wheat mosaic virus 期刊论文  OAI收割
ARCHIVES OF VIROLOGY, 2014, 卷号: 159, 期号: 11, 页码: 3077-3082
作者:  
Yang, Jian;  Zheng, Shi-Ling;  Zhang, Heng-Mu;  Liu, Xiao-Ya;  Li, Jing
收藏  |  浏览/下载:37/0  |  提交时间:2015/07/31
A new low-bandwidth and wireless transmission scheme for CCd image (EI CONFERENCE) 会议论文  OAI收割
2012 International Symposium on Photonics and Optoelectronics, SOPO 2012, May 21, 2012 - May 23, 2012, Shanghai, China
作者:  
Zhang Y.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
The CCD (Charge-coupled Device) image sensor with its high resolution is capable of providing high definition image. However  transmission requires high bandwidth  which makes it very difficult to process and transmit in a long distance. The purpose of this paper is to propose a new method to process and transmit CCD image  which can guarantee a low-bandwidth and long-distance data transmission. The innovation is that the transmission content of CCD image data can be flexibly selected and compressed firstly  which will reduce the transmission data. Then it is processed on the base of communication protocol so that it can be fit for wireless transmission. At last  it is transformed into wireless signal and transmitted using 3G technology. As a result  the paper presents a wireless transmission scheme with the rate of 1.5Mbps for CCD image. 2012 IEEE.  
Design of programmable near infrared cold light source (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
作者:  
Fu Q.;  Wang B.;  Wang B.;  Wang R.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
The design of missile's dome that fits both optical and aerodynamic needs (EI CONFERENCE) 会议论文  OAI收割
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing, April 26, 2010 - April 29, 2010, Dalian, China
作者:  
Zhang X.;  Zhang X.;  Zhang X.
收藏  |  浏览/下载:14/0  |  提交时间:2013/03/25
An improved fast parallel SPIHT algorithm and its FPGA implementation (EI CONFERENCE) 会议论文  OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
作者:  
Jin L.-X.;  Tao H.-J.;  Wu Y.-H.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
In view of the current stringent need to the real-time compression algorithm of the high-speed and high-resolution image  such as remote sensing or medical image and so on  in this paper  No List SPIHT (NLS) algorithm has been improved  and a fast parallel SPIHT algorithm is proposed  which is suitable to implement with FPGA. It can deal with all bit-planes simultaneously  and process in the speed of 4pixels/period  so the encoding time is only relative to the image resolution. The experimental results show that  the processing capacity can achieve 200MPixels/s  when the input clock is 50MHz  the system of this paper need 2.29ms to complete lossless compression of a 512x512x8bit image  and only requires 1.31ms in the optimal state. The improved algorithm keeps the high SNR unchanged  increases the speed greatly and reduces the size of the needed storage space. It can implement lossless or lossy compression  and the compression ratio can be controlled. It could be widely used in the field of the high-speed and high-resolution image compression. 2010 IEEE.  
Storage and compression design of high speed CCD (EI CONFERENCE) 会议论文  OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Cai X.; Zhai L. P.
收藏  |  浏览/下载:58/0  |  提交时间:2013/03/25
In current field of CCD measurement  large area and high resolution CCD is used to obtain big measurement image  so that  speed and capacity of CCD requires high performance of later storage and process system. The paper discusses how to use SCSI hard disk to construct storage system and use DSPs and FPGA to realize image compression. As for storage subsystem  Because CCD is divided into multiplex output  SCSI array is used in RAID0 way. The storage system is composed of high speed buffer  DMA controller  control MCU  SCSI protocol controller and SCSI hard disk. As for compression subsystem  according to requirement of communication and monitor system  the output is fixed resolution image and analog PAL signal. The compression means is JPEG2000 standard  in which  9/7 wavelets in lifting format is used. 2 DSPs and FPGA are used to compose parallel compression system. The system is composed of FPGA pre-processing module  DSP compression module  video decoder module  data buffer module and communication module. Firstly  discrete wavelet transform and quantization is realized in FPGA. Secondly  entropy coding and stream adaption is realized in DSPs. Last  analog PAL signal is output by Video decoder. Data buffer is realized in synchronous dual-port RAM and state of subsystem is transfer to controller. Through subjective and objective evaluation  the storage and compression system satisfies the requirement of system. 2009 SPIE.  
Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China
Meng B.; Zhu M.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.  
Postnatal ontogeny of the transcription factor Lmx1b in the mouse central nervous system 期刊论文  OAI收割
JOURNAL OF COMPARATIVE NEUROLOGY, 2008, 卷号: 509, 期号: 4, 页码: 341-355
Dai, Jin-Xia; Hu, Ze-Lan; Shi, Ming; Guo, Chao; Ding, Yu-Qiang
收藏  |  浏览/下载:34/0  |  提交时间:2012/07/23
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:27/0  |  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.