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A composite controller is designed based on singular perturbation model of two manipulators handling a flexible payload with external disturbances and parameters uncertainties, where an adaptive sliding mode controller is presented for the slow subsystem. The control algorithm can realize trajectory tracking control in the large range and update some values of parameters effectively, comparing with...
Wavelet multiresolution analysis allows us to detect edges at different scales, also to obtain other important aspects of the extracted edges. However, due to the usual two-dimensional tensor product, wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities, and the extracted edges are not continuous...
This paper introduces a novel scene recognition algorithm to perform reliable scene recognition. Firstly, to construct the maximally stable regions, we exploit the maximally stable color regions (MSCR) detector for improving the identification of stable regions. Secondly, each detected region is processed properly by using the method of mathematics morphology. Finally, the descriptor is computed by...
The centerline is an important feature in ISAR image features. In this paper, a new ship centerline extraction algorithm is presented. In the improved algorithm, the width character is used in the extraction of the ship centerline, and the line detection in normal centerline detection methods is replaced by line group detection. After finding the ship width and angle, the centerline position can be...
In the SaaS application, users can order corresponding software services from the service provider according to their application needs and adjust their services content in use based on the changes of the enterprise development, with strong elasticity and expansibility. However, despite of so advanced concept of SaaS, there are still some problems in the SaaS field constraining the wider use of SaaS...
Aiming at the condition that the fault mechanism of a store management system is complicated and it is difficult for diagnosis, an expert system for the equipment based on both neural networks and generate rules is discussed. At first, expert experience including fault phenomenons and reasons are summarized. Considering that expert knowledge is miscellaneous and is contact with too many parts, a new...
Grouplet transform (GT) can take advantage of the image's geometry structure since the bases of Grouplet can adapt the different geometry structure in different scales. The association fields that calculate by The Block Matching algorithm which cannot adaptive to different textures cannot follow the turbulent texture contained in an image. Grouplet transform based on Streamline (GTS) introduced streamline...
The KBM method was applied to study the amplitude-frequency equation of SDOF asymmetrical trilinear system. The main resonance bifurcations of the system are deeply analyzed and the transform sets of the system were determined based on the singularity theory. The amplitude-frequency curves within different transition sets were analyzed, and then the excitation parameter regions where the amplitude-frequency...
This dissertation develops a new approach of feature extraction for tool wear based on Acoustic emission, an application of Hilbert-Huang transform method to feature extract is presented. Using the empirical mode decomposition of the original times series data, the Hilbert transform is applied to each intrinsic mode function. Then our emphasis is how to calculate the Hilbert spectrum and the Hilbert...
Singular Value Decomposition (SVD) Filtering is one seismic data processing technique which uses the lateral coherence difference of the seismic wave to achieve wavefield separation and denoising. As the differences of propagation characteristics, apparent velocity and coherence in seismic signals, transformation of the valid signals may be transformed into those with better coherence by some mathematic...
The signal in reality is mostly non-stationary signal. In current, this type of signal analysis focus on time-frequency (or time scale) domain, which has also made a series of results. This paper presents a reversible transform method based on a bit of time series from another point. Using this method, we analyze non-stationary broadband noise signal according to the different characteristics between...
The development of virtual scene involves too many object; however, in most cases they share some common parts. After researching the modeling method of sky and terrain, one basic framework of virtual scene's development is put forward. The framework covers both the modeling and rendering technique of sky and terrain, and any operation on camera. Detailed design is presented in relative section, by...
In order to gaining virtue of Surfacelet transform and NSCT, this paper proposes image denoising method of combining two methods. This is conquer the defects of NSCT which has light nick in image edge and Surfacelet transform which has noise point in local image. This method not only has high SNR but also improves to keep image edge information. The experimental results indicate that de-noised image...
The paper propose a new algorithm based on NSCT in fusion for CT image and MR image. The low-frequents subbands and high-frequents subbands are get after NSCT. Gray value weighting is adopted in low-frequency image, and maximum module rule are adopted in high-frequents subbands. Experimental results compare with other method, and a set of quantitative evaluation criteria is given. Experimental results...
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