中国科学院机构知识库网格系统: 检索

Multiple in vitro biological effects of phenolic compounds from Terminalia chebula var. tomentella 期刊论文 OAI收割
JOURNAL OF ETHNOPHARMACOLOGY, 2021, 卷号: 275, 页码: 114135
作者: Zhang,Xiao-Rui; Qiao,Yi-Jun; Zhu,Hong-Tao

|

收藏 | 浏览/下载：39/0 | 提交时间：2022/04/02

Terminalia chebula var tomentella Combretaceae Fructus Chebulae Hydrolyzed tannins Simple phenolic compounds Anti-inflammation Anti-diabetes NITRIC-OXIDE ANTIOXIDANT TANNINS CONSTITUENTS VALIDATION ALGORITHM ESTERS FRUITS

Efficient parallel implementation of incompressible pipe flow algorithm based on simple 期刊论文 iSwitch采集
Concurrency and computation-practice & experience, 2016, 卷号: 28, 期号: 6, 页码: 1751-1766
作者: Zhang, Ji-Lin; Yuan, Jun-Feng; Wan, Jian; Mao, Jie; Zhu, Li-Ting

收藏 | 浏览/下载：34/0 | 提交时间：2019/05/09

Domain decomposition Incompressible pipe flow Simple algorithm Tdma Alternate tiling Finite difference stencil

Two-dimensional numerical model for debris flows in the Jiangjia Gully, Yunnan Province 期刊论文 OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2011, 卷号: 8, 期号: 6, 页码: 757-766
作者: Peng Hong; Zhao Yanxin; Cui Peng; Zhang Wanshun; Chen Xuejiao

收藏 | 浏览/下载：24/0 | 提交时间：2013/06/25

Debris flow Numerical simulation SIMPLE algorithm Finite Volume Method Hazard analysis Jiangjia Gully

Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文 OAI收割
International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China
作者: Zhang X.; Zhang J.; Zhang J.; Zhang X.; Zhang X.

收藏 | 浏览/下载：73/0 | 提交时间：2013/03/25

Vision-based human action recognition provides an advanced interface and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set but also proves practical to some real world applications in addition this method is computationally simple and able to achieve a satisfactory accuracy.

Precision detection of CCD splicing based on template matching algorithm (EI CONFERENCE) 会议论文 OAI收割
IEEE 2nd International Conference on Computing, Control and Industrial Engineering, CCIE 2011, August 20, 2011 - August 21, 2011, Wuhan, China
作者: Zhang X.; Zhang X.; Yang L.; Zhang X.; Yang L.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

The remote sensing camera in large field and wide cover needs CCD with enough pixels. But the existing CCD cannot satisfy the practical needs. Therefore several pieces of CCD which has insufficient pixels are spliced to get a long CCD array with plenty of pixels. The precision requirements of CCD splicing are very strict so that the same high accuracies are required in the precision detection of CCD splicing. When detecting precision of CCD splicing the graphical markers with simple geometric structure in the CCD package are selected as templates. The position precision data of the graphical markers in each CCD are obtained using the template matching algorithm. Using the unified objective templates the focal plane which has multi-chip of CCD is detected by template matching algorithm. Experiment results show that the template matching algorithm can enhance the located precision of each CCD to 0.347m. The splicing precision detection with template matching algorithm can avoid the subjective error caused by the conventional detection method. And its results are more accurate. In addition without manual intervention in the process of precision detection the efficiency of precision detection is improved. 2011 IEEE.

A video synthesis method for flow patterns (EI CONFERENCE) 会议论文 OAI收割
2010 2nd IEEE International Conference on Network Infrastructure and Digital Content, IC-NIDC 2010, September 24, 2010 - September 26, 2010, Beijing, China
作者: Chen J.; Liu J.; Yu D.; Yu D.; Li J.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

This paper presents a new video synthesis method for flow patterns. We can use it to synthesize video of natural phenomena that exhibit continuous flow patterns. It is based on flow-based video synthesis algorithm and combines partial ideas of graph cuts algorithm. This algorithm can process input videos of natural phenomena of flow patterns (e.g. rivers flames and waterfalls) and synthesize more realistic and active seamless video of arbitrary length than other algorithms. It is simple to implement. The results show that our method can produce satisfactory effects based on user inputs. 2010 IEEE.

Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: Zhang Y.-F.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds which is robust and can improve noise immunity of the algorithm. 2010 IEEE.

Target characteristic extraction algorithm based on block structure variables (EI CONFERENCE) 会议论文 OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者: Zhou Y.; Yang H.; Yan F.; Yan F.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

In image processing system the target recognition is very crucial. An optimized algorithm based on the definition of block is presented. In this algorithm two structure variables are self-defined to calculate the areas and centroids of targets. The labeling conflicts are resolved by tracking and correcting which means that if there is a conflict trace the neighbored blocks and correct the labels of them. Finally the characteristics of blocks which have the same label are accumulated. This method has outstanding advantages in saving memory compared with Pixel labeling algorithm and Run-length code algorithm. The new algorithm is simple and the results of target characteristics are easy to be analyzed and handled in the following processes. 2010 IEEE.

The costs prediction of AOD furnace based on improved RBF neural network (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Na T.; Zhang D.-J.; Hui L.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

In order to predict the cost a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy which indicated that it was applicable to predict the cost by the model. 2010 IEEE.

Parameter identification of airborne vibrated image based on high-speed CCD (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Shi J.; Xue X.; Guo Y.

收藏 | 浏览/下载：37/0 | 提交时间：2013/03/25

In order to identify the vibration parameters of a vibrated image the principle and shortage of the traditional methods that based on image derivative and image transformation are analyzed and a new parameter identification method is proposed afterward. By placing a high-speed CCD aside the master CCD the vibration can be sampled accurately and more information can be obtained for parameter identification. The series frames that captured by high-speed CCD are processed by gray projection algorithm and the vibration extents between adjacent frames along x and y direction are obtained. By using simple triangle operations the vibration parameters can be identified and the computational complexity of which can be reduced greatly. The experiment shows that the parameter identification method based on high-speed CCD can identify the parameters of vibration with any form accurately. The precise of parameter identification for linear vibration is less than 2.95%. 2010 IEEE.