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In this paper, a conformal high-order finite difference time-domain (CHO-FDTD) scheme is present to deal with the dielectric curved objects. The general update equations of the CHO-FDTD have been derivated. The CHO-FDTD method, based on the effective dielectric constant EDC technique, is applied in scattering cases, and the conclusion are that the scheme provides the better accuracy than the HO-FDTD...
A novel active disturbance rejection station-keeping control approach is proposed and analyzed for stabilization of spacecraft flight on cislunar point orbits of the Sun-Earth system. It is an error driven, rather than model-based control law, essentially accounting for the independence of model accuracy and linearization. From the combination of tracking differentiator, extended state observer, and...
We propose a human action recognition solution from the human's skeletal information. The angular representation of the skeleton shows its invariance to the scale of the actor and the orientation to the camera, while it maintains the correlation among different body parts. A modified Dynamic Time Warping (DTW) as a template matching solution is applied to do the action classification task. We collect...
In this paper, we propose a novel method to determine whether a scanned text document is right side up or upside down. The text documents discussed here are limited to English, Chinese and Japanese where we find that the punctuation marks located on the bottom of the text line have a much more frequent occurrence than those on the top. Thus, by calculating the number of punctuation marks on the bottom...
A layout recognition method for multi-page document image is proposed in this paper. Because there exists of spacings in vertical and horizontal direction in this kind of document, vertical and horizontal projection are used to extract the layout feature and Naive Bayes classifier is generated to realize the layout recognition of multi-page document. Experimental results show that the method of this...
An approach for document orientation detection and classification by using support vector machine (SVM) theorem is proposed in this paper. First, all the characters in a document image will be isolated and some valid ones are selected. Using the valid characters, the document image will be vectorized to a 32-dimensional vector by the feature extracting. By training lots of samples, an SVM classifier...
In this paper, an efficient support vector machine (SVM) algorithm for solving multi-class pattern recognition problems is proposed. The samples in each class are trained by one-class SVM (OCSVM), respectively. And then several sets of support vectors (SVs) are obtained, which well express the distribution of the original training samples. These SVs finally are combined into a set of training samples...
Assist medical diagnosis is a significative work. In the paper, symptom characterizing based on accuracy, extract rules method from clinical databases based on rough exclusive, matching with tolerant, and a rough strategic decision system based on these concepts, is put forward. It was proved to be feasible and effective after tested with a database.
When users visit Web, it has variety of evaluated factors, take these situations into account, structuring multiple fuzzy matrix, using several associated SOFM neural network being connected to carry out the study on the every evaluated factors, more accurate and scientific in Web mining user access patterns. Finally, using this algorithm in simulation experiment, to some extent, improved user access...
This paper realizes a new control sampling module with AHDL language in software and EPLD modules. It can simplify the software as well as hardware design of AC sampling. With the cooperation of A/D conversion module, it is can be used as a specific AC sampling chip.
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