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In this paper, a dual-basis testing method is utilized to enhance the field projection in the equivalence principle algorithm (EPA). Due to the presence of identity operators in the EPA formulation, the near-field calculation is less accurate with field projection errors. This issue can be effectively remedied by using the recently proposed dual-basis function of Rao-Wilton-Glisson basis function,...
Currently, researches on robotic object manipulation mainly focus on basic actions like pick-and-place and fetch-and-carry, while sophisticated actions are much more useful in practice. In this article, we propose a multilevel part-based object model for complicated manipulations and an interaction-based sample collection method for efficient training. We implement our model with WAM Arm, Barret Hand...
Dynamometer cards are commonly used to analyze down-hole conditions of beam pumping units in practical oil production. In the literature, supervised learning based methods heavily rely on training samples. In order to realize unsupervised learning of fault diagnosis for down-hole conditions, a method based on an improved fuzzy Iterative Self-Organizing Data Analysis Technique (ISODATA) with “merging”...
This paper presents a method of automatic lexical stress assessment for L2 English speech. Syllable stress can be labeled at three levels - primary (P), secondary (S) and no (N) stress, but secondary stress may vary among word pronunciations within and across accents and present difficulties for human perception. Hence, evaluation of lexical stress based on all three levels (i.e., the P-S-N criterion...
The objective of this study is to develop an innovative close range digital photogrammetry (CRDP) system using the commercial digital SLR cameras to measure and reconstruct the 3D surface of prosthetics and orthotics. This paper describes the instrumentation, techniques and preliminary results of the proposed system. The technique works by taking pictures of the object from multiple view angles. The...
It is very important to find the incipient faults of power transformers for keeping away from the further deterioration in modern power system. For enhancing the accuracy of fault diagnosis for power transformers, a multiple ANNs scheme is proposed in this paper. In this scheme, a novel ANN method ELM is used to establish the base classifier for its good performance and fast learning speed. Secondly,...
We aim to detect salient mispronunciations in intonation of English speech uttered by Mandarin speakers. The goal of our project is to detect intonation errors and provide corrective feedback to English second language (ESL) learners. An intonational event includes the pitch accent and edge tone, and the intonation is closely related to the nuclear tone of an intonational phrase (IP). Hence, we first...
Using SPOT-5, QuickBird, ALOS optical data with linear regression model, forest stock volume is quantitative estimated in Zhazuo Forest of Xiuwen County of Guizhou Province. The optimal ratio of band is chosen from the above three types of optical remote sensing data respectively by the criteria of mean residual sum of square called RMSq. Combined with GIS factors (tree species, land type, altitude,...
This paper formulates a radial basis function (RBF) meshless method for the numerical simulation of the wave propagation problems which are governed by the second-order wave equation. The spatial derivatives are approximated by RBF collocation technique whereas the temporal derivatives are discretized using the generalized trapezoidal method. Corresponding boundary conditions are enforced analytically...
Mining frequent itemsets over online data streams, where the new data arrive and the old data will be removed with high speed, is a challenge for the computational complexity. Existing approximate mining algorithms suffer from explosive computational complexity when decreasing the error parameter, isin, which is used to control the mining accuracy. We propose a new approximate mining algorithm using...
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