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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Direct fabricating large-area nanotriangle structure arrays on tungsten surface by nonlinear lithography of two femtosecond laser beams 期刊论文 Optics Express, 2018, 卷号: 26, 期号: 9, 页码: 11718-11727 作者:  Liu, Q.;  Zhang, N.;  Yang, J. J.;  Qiao, H. Z.;  Guo, C. L. 收藏  |  浏览/下载：4/0  |  提交时间：2019/09/17 Optics   Experimental study on formability of bulk metallic glass as mold for microstructure replication (EI CONFERENCE) 会议论文 Mei L.; Liu J.; Huang Y.; Lin J.; Shen J.; Tan J.; Jin P. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 La62Al14Cu12Ni12BMG is introduced as a substitute for silicon which was widely used as mold material for nanofabrication. For the purpose of precise microstructure replication and complete filling  effects of various imprint parameters  including imprint temperature  imprint time and compression load  on formability of La 62Al14Cu12Ni12BMG are studied and discussed. Scanning electron microscope images and results of thermal analysis are used to characterize the filling effect of La62Al 14Cu12Ni12BMG. In particular  correlations between time and thermodynamic properties are presented. Despite of its high viscosity at crystallization temperature and its narrow supercooled liquid region  La62Al14Cu12Ni12BMG is proved to be a durable and promising material which can precisely replicate the patterns of silicon mold and then transfer its own patterns on Ce 69Al10Cu20Co1BMG and PMMA. 2012 Elsevier B.V. All rights reserved.   The compression and storage method of the same kind of medical images-DPCM (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：9/0  |  提交时间：2013/03/25 Medical imaging has started to take advantage of digital technology  opening the way for advanced medical imaging and teleradiology. Medical images  however  require large amounts of memory. At over 1 million bytes per image  a typical hospital needs a staggering amount of memory storage (over one trillion bytes per year)  and transmitting an image over a network (even the promised superhighway) could take minutes - too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. Several compression techniques with different compression ratio have been developed. However  the lossless techniques  which allow for perfect reconstruction of the original images  yield modest compression ratio  while the techniques that yield higher compression ratio are lossy  that is  the original image is reconstructed only approximately Medical imaging poses the great challenge of having compression algorithms that are lossless (for diagnostic and legal reasons) and yet have high compression ratio for reduced storage and transmission time. To meet this challenge  we are developing and studying some compression schemes  which are either strictly lossless or diagnostically lossless  taking advantage of the peculiarities of medical images and of the medical practice. In order to increase the Signal to-Noise Ratio (SNR) by exploitation of correlations within the source signal  a method of combining differential pulse code modulation (DPCM) is presented.