中国科学院机构知识库网格系统: 检索

An oligomer-specific antibody improved motor function and attenuated neuropathology in the SOD1-G93A transgenic mouse model of ALS 期刊论文 OAI收割
INTERNATIONAL IMMUNOPHARMACOLOGY, 2018, 卷号: 65, 页码: 413
作者: Dong, QX; Zhu, J; Liu, SY; Yu, XL; Liu, RT

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Amyotrophic Lateral Sclerosis (Als) Amyotrophic-lateral-sclerosis Sod1 Molecular Pathways Motor Neuron Spinal-cord Oligomer Dismutase Single-chain Variable Fragment Antibody Neurodegeneration Aggregation Mechanism Recognize Genes Cells

Mirror-Induced Self-Directed Behaviors in Rhesus Monkeys after Visual-Somatosensory Training 期刊论文 OAI收割
CURRENT BIOLOGY, 2015, 卷号: 25, 期号: 2, 页码: 212-217
作者: Chang, Liangtang; Fang, Qin; Zhang, Shikun; Poo, Mu-ming; Gong, Neng

收藏 | 浏览/下载：41/0 | 提交时间：2015/04/22

CEBUS-APELLA RECOGNIZE THEMSELVES MACACA-FASCICULARIS IMAGE STIMULATION PAN-TROGLODYTES VIDEO IMAGES CHIMPANZEES RESPONSES

Synthesis of dibenzo-[bf][1,5]diazocine-based hosts and their assembly behaviors with C-60 期刊论文 OAI收割
TETRAHEDRON LETTERS, 2014, 卷号: 55, 期号: 25, 页码: 3545-3548
作者: Jiang, Yi; Wang, Xiao; An, Zengjian; Wan, Xiaobo

收藏 | 浏览/下载：22/0 | 提交时间：2015/11/02

Diaryl[bf][1,5]diazocine-based macrocycles Recognize Dimeric aggregate Nano-rod

A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China
作者: Wang Y.

收藏 | 浏览/下载：30/0 | 提交时间：2013/03/25

This paper presents a new fast target recognition algorithm the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm it is also robust to affine transform light projective transform noise thin fog occlusion and illumination change. the performed experiments show that it has fast searching speed and can accurately recognize and locate target in real scenes. 2012 IEEE.

An approach to the misleading action solving in plan recognition (EI CONFERENCE) 会议论文 OAI收割
2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012, July 15, 2012 - July 17, 2012, Xian, Shaanxi, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：19/0 | 提交时间：2013/03/25

Misleading actions have not been considered in previous researches on plan recognition. It leads to poor recognition results for some special domains. This paper introduces new concepts including reliability correlativity and correlated action sequence etc. A novel algorithm is proposed to recognize a misleading action by using correlated action sequences. The proposed algorithm is shown to improve the accuracy of plan recognition. Moreover it could also be applied to intrusion detection and network security problems. 2012 IEEE.

TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.; Han Q.

收藏 | 浏览/下载：25/0 | 提交时间：2013/03/25

In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute most of them need plenty of samples and prior Knowledge. In this paper within a few evident samples (not too many) we can first get the texture feature of each component and the structures then select the approximately location randomly of the objects or patches of them then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.

Analysis of zenith pass problem in a roll-pitch optics seeker (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
作者:

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

There are mainly two kind of structures for a missile two-axes seeker which is always mentioned as elevate-azimuth and roll-pitch. The elevate-azimuth structured seeker has been studied for a long time and it is applied in all sort of missiles. Not only structure design but also control algorithm of the elevate-azimuth seeker are deeply developed. But for elevate-azimuth seeker there are several disadvantages such as big size and large abaxial angle blind. So the elevate-azimuth seeker gimbal angle is designed up to 65 according to relative references. In modern air war it is important for a missile to have the ability of "first recognize" and "first attack". That means the air to air missile seeker is required to be a system with large gimbal angle and large abaxial launch angle. With the mentioned requirement roll-pitch seeker with its advantages smart size and large gimbal angle is studied widely and deeply. The pitch angle of roll-pitch is up to 90 while its roll angle up to n 360. But there are also some disadvantages for the roll-pitch seeker the most troublesome one is the zenith pass problem. The zenith pass problem is brought about from the gimbal kinematics it is said that when target moves in the center of image plane roll servo command gotten from the kinematics algorithm will go to infinite. Math model of zenith pass problem is proposed in this paper and two ways to solve the problem are brought forward. 2011 IEEE.

A study of automation recognition of bridge in SAR image (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 L.-P.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

According to river and bridge features in SAR (Synthetic Aperture Radar SAR) image as well as the position relationship between bridge and river the automatic recognition method of bridge is presented. First the gradient of an image is calculated by gradient operator in order to get the gradient image and river region is segmented by Fisher criterion. Then a doubtful bridge region is extracted by morphology method and segmented by Fisher criterion. Finally the bridge is recognized according to the features. Experimental results show that this method can automatically and rapidly recognize bridge. 2010 IEEE.

A method of aircraft image target recognition based on modified PCA features and SVM (EI CONFERENCE) 会议论文 OAI收割
9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China
Donghe W.; Xin H.; Wei Z.; Huilong Y.

收藏 | 浏览/下载：28/0 | 提交时间：2013/03/25

Automatic target recognition(ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Dimensionality reduction and Classifier. After pretreatment on original features a self-organizing neural network trained with the Hebbian rule is used to extract the principal component features. Then a classifier based on Directed Acyclic Graph Support Vector Machines(DAGSVM) is adopted to recognize more than two types of aircraft targets. The experiment results show the proposed method achieves better subset features and higher recognition rate. 2009 IEEE.

Platform and steady kalman state observer design for intelligent vehicle based on visual guidance (EI CONFERENCE) 会议论文 OAI收割
2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008, April 21, 2008 - April 24, 2008, Chengdu, China
Rong-hui Z.; Rong-ben W.; Feng Y.; Hong-guang J.; Tao C.

收藏 | 浏览/下载：20/0 | 提交时间：2013/03/25

State observer design is one of key technologies in research field of intelligent vehicle. Experiment platform visual guidance intelligent vehicle JLUIV-5 is establishedby Jilin University Intelligent Vehicle Group firstly. The system structure and assistant navigation control system and different image identify algorithms to recognize preview path and stops for variable illuminations are introduced. The dynamic response equation of steering control system was got by system identification experiment. By combined with the preview kinematics model and two-degree steering dynamic model of vehicle the steering kalman filter mathematics model based on preview kinematics for intelligent vehicle was obtained. And observer is designed by applying steady Kalman filter theory. The simulation and experiment results carry out in Jilin University Nanling Campus and Culture Center of Jilin Province show that the image identify algorithms and steady Kalmanstate observer designed by the proposed method has good adaptability for time-varying and parameters uncertain it can satisfy intelligent vehicle trace the path reliably during outdoor experiment. 2008 IEEE.