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Headwater stream ecosystem: an important source of greenhouse gases to the atmosphere 期刊论文
WATER RESEARCH, 2021, 卷号: 190, 页码: 9
作者:  Li, Mingxu;  Peng, Changhui;  Zhang, Kerou;  Xu, Li;  Wang, Jianming
收藏  |  浏览/下载：28/0  |  提交时间：2021/06/10
Effects of surface shapes on properties of turbulent/non-turbulent interface in turbulent boundary layers 期刊论文
Science China Technological Sciences, 2019
作者:  Wu, D.;  Wang, J.J.;  Cui, G.Y.;  Pan, C.
收藏  |  浏览/下载：15/0  |  提交时间：2019/12/30
Turbulent channel flow with one groove-roughened wall 期刊论文
Shiyan Liuti Lixue/Journal of Experiments in Fluid Mechanics, 2012, 卷号: 26, 期号: [db:dc_citation_issue], 页码: 17-22
作者:  Zhang, Yu-Bo;  Che, De-Fu
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/10
Effect of streambed substrate on macroinvertebrate biodiversity 期刊论文
2010, 2010
Xuehua Duan; Zhaoyin Wang; Shimin Tian
收藏  |  浏览/下载：2/0
Numerical simulation method of unsteady vortical flows 期刊论文
2010, 2010
Zhu Baoshan; Lei Jun; Cao Shuliang
收藏  |  浏览/下载：3/0
Design of multispectral remote sensing image compression system (EI CONFERENCE) 会议论文
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
Fan Z.-L.; Xu S.-Y.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
In order to get the higher compression quality of multispectral remote sensing image  which taken the JPEG2000 as the standard  used FPGA and special compression chip ADV212 to realize the remote sensing image compression system is proposed. The system used the specialty compression chip ADV212 which is newly relaesed by Analog Device company. It used to develop fast high-quality compression for the large amount of remote sensing image data. The system realized the image data's input  the compression stream's output  the image preprocessing as well as to control the ADV212 chip's working pattern through FPGA. The experiment result shows that this system which has such characteristics as low power consumption. low cost and easy adjustmen and has a good compressing effect. Meet the requirement of the multispectral remote sensing image's high compression ratio. 2010 IEEE.  
Optical transmission system based on 10GBASE-X (EI CONFERENCE) 会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Zhao L.-L.; Wu Z.-Y.; Gao S.-J.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
In order to further enhance the bandwidth of the data communication system in theodolite  The whole design of the PMD is realized by using Xenpak optical module. Its duty is responsible for converting 4-channel parallel 3.125Gbps data stream into a serial 10.3126Gbps data stream  a single channel serial optical transmission system was designed based on the studying of the 10BASE-X Gigabit Ethernet physical layer technology which meets the IEEE standard. The conversion between the 64-bit 156.25MHz TTL signals and the 4 channel 3.125Gbps PCML differential signals is carried out by FPGA  and sending out it in the form of light signals. The experimental results show that data transmission capacity was achieved a 10Gbps in the single-channel optical transmission system. It can conduct short distance transmission. The system delay is about 31lns. The bit error rates no more than 10-12  which satisfies the system demand. 2010 IEEE.  
High-order compact exponential finite difference methods for convection-diffusion type problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2007, 卷号: 220, 页码: 952-974
作者:  Tian, Z. F.[1];  Dai, S. Q.[2]
收藏  |  浏览/下载：9/0  |  提交时间：2019/05/10
Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
Zhao X.; Wei J.; Zhai L.; Liu H.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image  thus facilitating accurate diagnosis  of course at the expense of higher bit rates  i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization  wavelet coding  neural networks  and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1  or even more)  they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image  but the achievable compression ratios are only of the order 2:1  up to 4:1. In our paper  we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time  we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance  so that all the low rate codes are included at the beginning of the bit stream. Typically  the encoding process stops when the target bit rate is met. Similarly  the decoder can interrupt the decoding process at any point in the bil stream  and still reconstruct the image. Therefore  a compression scheme generating an embedded code can start sending over the network the coarser version of the image first  and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.  

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