The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The study of high accuracy numerical schemes is a hot topic for decades in the field of compressible turbulence simulations. Linear compact schemes, high-order shock-capturing schemes and the hybrid schemes are three types of schemes used in today's turbulent flow simulations. The fifth-order compact scheme, WENO scheme and hybrid compact-WENO scheme are introduced as the representatives of these...
In empirical studies of protecting privacy via anonymity, sensitive attributes are typically studied. Through models or algorithms, researchers guarantee some or all of their private information, resulting in a directed method. Sensitive attributes often are deleted until few. This paper analyzes a unique view of quasi-identifiers and shows that the distribution of quasi-identifiers is far from insignificant...
There is an increasing demand for context-aware adaptive services that can evolve at runtime in response to unanticipated changes in their environments or functionalities. Enabling the runtime evolution of such context-aware adaptive services is still a major challenge. In this paper, we introduce a novel approach to tackle this challenge. At the development time, our approach explicitly models a...
This paper presents a convex vector-valued active contour model for texture segmentation. This model uses histograms of the semi-local region descriptor and image intensity for measuring the similarity of image regions. We use the Quadratic-Chi histogram distance to compare the dissimilarity of histograms. Quadratic-Chi histogram distance is a cross-bin distance that matches perceptual similarity...
Phased-mission system is a kind of broad exist complex system. It has important reference value to research the reliability optimization of this kind of system. For reliability optimization problem of standby phased-mission systems, a method adopts modular fault tree and modular BDD to describe structure of standby system is proposed. The reliability compute method of standby sub-system in phased-mission...
A novel texture image segmentation method based on Gaussian mixture models (GMM) and gray level co-occurrence matrix (GLCM) and was proposed. The feature space was formed by eight statics generated by gray level co-occurrence matrix (GLCM) including mean, variance, angular second moment(ASM), entropy, inverse difference moment(IDM), contrast, homogeneity(HOM), correlation(COR). The parameters of Gaussian...
The active contour models have been studied for image segmentation since late 1980s, and most of them find local minima in the corresponding energy function, therefore some recent works seek to compute global solutions. In this paper, we obtain a new fast global minimization algorithm by solving a recent convex image segmentation model through a gradient-based dual formulation of the minimization...
In this paper, we propose an unconstrained active contour model combining edge and region information for image segmentation. The new method achieves the segmentation by alternating the regularization term and the data-fidelity term. We use a morphological approach to the regularization term which is the most time-consuming in the energy function. The proposed method is robust to noise and avoids...
The costs from the servicing of warranty depend on the reliability of the product, the maintenance actions, and the servicing strategy. In this paper, we focus on a repair strategy based on minimal and imperfect repairs for two-dimensional warranty. We consider a rectangular warranty region with two measures (age and usage) and divide it into three disjoint sub-regions. The failed item is rectified...
The cost from the servicing of warranty depends on the reliability of the product, the maintenance actions, and the warranty strategy. In this paper, we focus on a repair strategy based on imperfect repair for two-dimensional (2D) warranty. We consider a rectangular warranty region with two measures (age and usage) and divide it into three disjoint sub-regions. Only the first failure in the second...
This paper presents a new system for computer-aided orthognathic surgery which aims at correcting dento-facial defects and keeping patient away from much radiation and high cost of CT or MRI imaging. The system allows simulating the surgical correction on virtual 3-D model of the skull reconstructed with the acquisition of radiographs of three orthogonal views and facial mesh data generated by 3-D...
Regression is an important prediction method to establish models between variables. The primitive regression algorithms ignore the sample weights, and consider all samples play an equal role in regression. But this kind of algorithms often loses efficacy when dealing with outliers, since outliers disturb the regression models greatly. For traditional switching regression, sample membership varies...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.