中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [2]
昆明动物研究所 [2]
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
青岛生物能源与过程研... [1]
合肥物质科学研究院 [1]
更多
采集方式
OAI收割 [8]
内容类型
期刊论文 [5]
SCI/SSCI论文 [1]
会议论文 [1]
学位论文 [1]
发表日期
2022 [2]
2017 [2]
2015 [1]
2012 [1]
2008 [1]
2006 [1]
更多
学科主题
生物资源::生物传感... [1]
筛选
浏览/检索结果:
共8条,第1-8条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
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
作者升序
作者降序
Scattered Points Interpolation with Globally Smooth B-Spline Surface using Iterative Knot Insertion
期刊论文
OAI收割
COMPUTER-AIDED DESIGN, 2022, 卷号: 148, 页码: 17
作者:
Jiang, Xin
;
Wang, Bolun
;
Huo, Guanying
;
Su, Cheng
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/07/25
B-spline surface
Scattered data points interpolation
Knot vector construction
Fairing energy minimization
纳豆芽孢杆菌men基因过表达菌株的构建及提高溶氧强化MK-7合成
期刊论文
OAI收割
应用与环境生物学报, 2022, 卷号: 28
作者:
李楚
;
王晗
;
王丽
;
王鹏
;
郑之明
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/11/10
Bacillus subtilis natto
Sipizizen transformation optimization
menadione pathway
overexpression vector construction
men gene
纳豆芽孢杆菌
Sipizizen转化法优化
甲萘醌途径
过表达载体构建
men基因
Corrigendum: Building a Genetic Manipulation Tool Box for Orchid Biology: Identification of Constitutive Promoters and Application of CRISPR/Cas9 in the Orchid, Dendrobium officinale
期刊论文
OAI收割
Frontiers in Plant Science, 2017, 卷号: 6, 期号: X, 页码: e664
作者:
Kui L
;
Chen HT
;
Zhang YS
;
Yan L
;
Zhong CF
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2017/05/02
CRISPR/Cas9 gene editing
Dendrobium officinale
gene promoters
lignocellulose biosynthesis
overexpression
transgene
vector construction
Building a Genetic Manipulation Tool Box for Orchid Biology: Identification of Constitutive Promoters and Application of CRISPR/Cas9 in the Orchid, Dendrobium officinale
期刊论文
OAI收割
Frontiers in Plant Science, 2017, 卷号: 7, 期号: X, 页码: e2036
作者:
Kui L
;
Chen HT
;
Zhang YS
;
Yan L[6]
;
Zhong CF
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2017/02/08
CRISPR/Cas9 gene editing
Dendrobium officinale
gene promoters
lignocellulose biosynthesis
overexpression
transgene
vector construction
Speeding up the high-accuracy surface modelling method with GPU
SCI/SSCI论文
OAI收割
2015
作者:
Yan C. Q.
;
Zhao, G.
;
Yue, T. X.
;
Chen, C. F.
;
Liu, J. M.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2015/12/09
GPU
High-accuracy surface modelling
CUDA
DEM
Surface interpolation
support vector machine
large-scale
dem construction
systems
algorithm
interpolation
cuda
Phagemid Vectors for Phage Display: Properties, Characteristics and Construction
期刊论文
OAI收割
JOURNAL OF MOLECULAR BIOLOGY, 2012, 卷号: 417, 期号: 3, 页码: 129-143
作者:
Qi, Huan
;
Lu, Haiqin
;
Qiu, Hua-Ji
;
Petrenko, Valery
;
Liu, Aihua
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2012/11/10
phage display
phagemid
filamentous phage
phagemid vector construction
基于多系统融合的统计机器翻译模型及系统研究
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
作者:
杜金华
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2015/09/02
统计机器翻译
双语语料库建设
多引擎翻译平台
相对位置向量重排序模型
MBR解码
混淆网络
多系统融合框架
statistical machine translation
bilingual corpus construction
multi-engine translation platform
relative position vector re-ordering model
MBR decoding
Confusion Network
system combination framework
Wavelet packet and neural network basis medical image compression (EI CONFERENCE)
会议论文
OAI收割
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.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
It is difficult to get high compression ratio and good reconstructed image by conventional methods
we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image
use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm
not only for its vector quantization feature
but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard
this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition
the approach can be realized easily by hardware.