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For boiler in magnetic flux leakage testing data characteristics on the basis of full analysis, Combining the application of industrial control integrated automation needs, proposed the pipeline magnetic flux leakage testing data mining system framework. Through analysis of magnetic flux leakage pipeline inspection data and mines the key data. It could be better to achieve detection and prediction...
Spectral clustering algorithms are newly developing technique in recent years. In this paper, we derive a new pairwise affinity function for spectral clustering based on a measure of texture features represented by Gaussian Markov Random Field (GMRF) model. This model is used to capture the statistical properties of the neighborhood at a pixel, and then pairwise affinities represented by it can cluster...
This paper presents a novel method for the solution to the complicated dynamic vibration, in which the measurement and quantification of the structural vibration signal is used. The universal formula for the electronic signal primary transform function's correspondence matrix is inferred at some certain frequency.
Orthogonal projection lanczos algorithm is the effective way to solve the complex structural vibration, vibration frequency and vibration mode. Its idea is to translate high-level vibration problem into low-level to solve the vibration problem without losing eigenvalue. In this paper, a simple and convenient method of computing is presented using Orthogonal Projection lanczos algorithm to solve semi-definite...
This paper is concerned with the developing technique and the pattern of multimedia CAI (Computer Aided Instruction). The process involves educational psychology, computer science, experts system and artificial intelligence. The computer is mainly used to show teaching goal and content; note students' studying status or control the studying schedule. All steps through teaching must be true of the...
In this paper, a new multiscale texture segmentation method using contextual hidden Markov tree (CHMT) in wavelet domain is proposed. The hidden Markov tree models (HMT) describe persistence property of wavelet coefficients in multiscale images, but loses clustering property. The method is put forward to overcome the shortcoming of standard HMT by using extended coefficients without changing the wavelet...
Based on spatial data and its application characteristics and embarked the analysis Portable Batch System (PBS) of cluster at present, Backfill algorithm is chosen as the scheduling algorithm of cluster job of processing the spatial information. Finally, the article designs and realizes the prototype system oriented to the spatial data processing, and verifies the feasibility of this kind of method.
An improved particle swarm optimization (IPSO) of texture segmentation approach based on Markov random field (MRF) is proposed in this paper. In the new algorithm, a population of points sampled randomly from the feasible space. Then the population is partitioned into several sub-swarms, each of which is made to evolve based on particle swarm optimization (PSO) algorithm. At periodic stages in the...
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