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11条,第1-10条 帮助

条数/页: 排序方式:
An End-to-End Recommendation System for Urban Traffic Controls and Management Under a Parallel Learning Framework 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 3, 页码: 1616-1626
作者:  
Jin, Junchen;  Guo, Haifeng;  Xu, Jia;  Wang, Xiao;  Wang, Fei-Yue
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/04/27
Intelligent manufacturing process model of electric vehicle battery pack and experimental verification 会议论文  OAI收割
Kuala Lumpur, Malaysia, June 12-13, 2021
作者:  
Zhang C(张聪);  Shi G(石刚);  Sun TB(孙天保);  Wang DZ(王大治);  Zhao W(赵伟)
  |  收藏  |  浏览/下载:21/0  |  提交时间:2021/10/30
中关村科技园区智慧产业集群的演化过程、动力因素和集聚模式 期刊论文  OAI收割
地理科学进展, 2020, 卷号: 39, 期号: 9, 页码: 1485
作者:  
苏文松;  郭雨臣;  苑丁波;  杨帆;  刘双
  |  收藏  |  浏览/下载:31/0  |  提交时间:2021/03/16
Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor 期刊论文  OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
作者:  
Sui, Shuai;  Chen, C. L. Philip
  |  收藏  |  浏览/下载:95/0  |  提交时间:2019/07/12
Cognitive mechanism related to line drawings and its applications in intelligent process of visual media: a survey 期刊论文  OAI收割
FRONTIERS OF COMPUTER SCIENCE, 2016, 卷号: 10, 期号: 2, 页码: 216-232
作者:  
Liu, Yongjin;  Yu, Minjing;  Fu, Qiufang;  Chen, Wenfeng;  Liu, Ye
收藏  |  浏览/下载:21/0  |  提交时间:2016/05/09
Intelligent Control Based on Case-based Reasoning for Outlet Tobacco Moisture Percentage of Loosening Resurgence Machine 会议论文  OAI收割
2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012, Guangzhou, China, December 5-7, 2012
作者:  
Wang B(王斌);  Wang Z(王卓);  Yuan MZ(苑明哲)
收藏  |  浏览/下载:24/0  |  提交时间:2012/12/28
Realtime Measurement of Temperature Field during Direct Laser Deposition Shaping 会议论文  OAI收割
International Conference on Smart Materials and Intelligent Systems 2010, SMIS 2010, Chongqing, China, December 17-20, 2010
作者:  
Zhang K(张凯);  Shang XF(尚晓峰);  Liu WJ(刘伟军)
收藏  |  浏览/下载:17/0  |  提交时间:2012/06/06
Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文  OAI收割
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Zhou Y.;  Zhou F.;  Wang C.
收藏  |  浏览/下载:32/0  |  提交时间:2013/03/25
The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree  therefore  it can be used in hospital  so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology  the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance  calibrating organization and family  while reflectance is one-dimensional variable  it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment  so its application prospect is extensive.  the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr L*a*b*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer  and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate  
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:25/0  |  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.  
MULTI-AGENT COMPUTER AIDED ASSEMBLY PROCESS PLANNING SYSTEM FOR SHIP HULL 期刊论文  OAI收割
Chinese Journal of Mechanical Engineering, 2001, 期号: 1, 页码: 57-61
作者:  
Zhang SJ(张士杰);  Jing S(靖爽)
收藏  |  浏览/下载:19/0  |  提交时间:2012/05/29