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近代物理研究所 [2]
兰州理工大学 [1]
长春光学精密机械与物... [1]
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会议论文 [5]
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2013 [2]
2011 [1]
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物理化学 [1]
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A Potential Substitute of Fermentation Material in Gansu Province
会议论文
作者:
Li, Wenjian
;
Wang, Jufang
;
Ma, Liang
;
Dong, Xicun
;
Lu, Dong
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浏览/下载:52/0
  |  
提交时间:2018/08/20
Sweet Sorghum Juice
Saccharomyces cerevisiae
Biomass
Gansu Province
Study on potato starch wastewater pretreatment using flocculation
会议论文
Shangri-La, China, August 22, 2011 - August 23, 2011
作者:
Zhao, Xia
;
Zhao, Yangli
;
Chen, Zhonglin
;
Luo, Heming
;
Feng, Huixia
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  |  
浏览/下载:5/0
  |  
提交时间:2020/11/15
Biological water treatment
Chemical contamination
Chemical oxygen demand
Civil engineering
Coagulation
Efficiency
Flocculation
Wastewater
Wastewater treatment
Animal feed
Biological treatment
Chemical oxygen demand removals
Economic benefits
Flocculants
Flocculation efficiency
Flocculation process
High yield
Optimum conditions
Orthogonal experiment
Polyacrylamides
Potato starches
Pre-Treatment
Principal factors
Treatment efficiency
5-Hydroxymethylfurfural Production in Ionic Liquids
会议论文
12th asia pacific confederation of chemical engineering congress, 中国, 2008-08-03
李昌志
;
赵宗保
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浏览/下载:19/0
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提交时间:2011/07/11
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.
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浏览/下载:9/0
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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.
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