Experimental solubility curves and tie-line data for the (water + phenol + 2-ethyl-1-hexanol) system was obtained at T = 298.2 K and atmospheric pressure. The tie-line data was determined by techniques karl-fischer and refractometry. This ternary system exhibits type-2 behavior of LLE. Distribution coefficients and separation factors were measured to evaluate the extracting ability of the solve...

The aim of this study was to characterise, to model and to compare the different lingual articulatory strategies of a group of speakers. Individual principal component analysis (PCA) and multi-linear decomposition methods have been applied to different representations of the tongue contour extracted from magnetic resonance images (MRI). The corpus consisted of seven speakers articulating 63 Fre...

In this paper we present a new method for motion tracking of tumors in liver ultrasound image sequences. Our algorithm has two main steps. In the first step, we apply mean shift algorithm with multiple features to estimate the center of the target in each frame. Target in the first frame is defined using an ellipse. Edge, texture, and intensity features are extracted from the first frame, and t...

In recent years, gradient vector flow (GVF) based algorithms have been successfully used to segment a variety of 2-D and 3-D imagery. However, due to the compromise of internal and external energy forces within the resulting partial differential equations, these methods may lead to biased segmentation results. In this paper, we propose MSGVF, a mean shift based GVF segmentation algorithm that c...

Image analysis and recognition on a journal or conference paper, called J-image here, is greatly worthy of researching due to existence of various objects and layouts in it. Furthermore, a scanned J-image may be not in a normal orientation, which will usually affect the recognition result. Thus solving the document skew problem is still a challenging topic today. In this paper, a contour analys...

Traditional mean shift method has the limitation that could not effectively adjust kernel bandwidth to represent object accurately. To address this problem, in this paper, we propose a novel contour tracking algorithm using a determined binary level set model (DBLSM) based on mean shift procedure. In contrast with other previous work, the computational efficiency is greatly improved due to the ...

Segmentation, Unsupervised clustering, Mean shift, Cardiac images, Human heart, Left ventricle. In this paper an image segmentation scheme that is based on combinations of a nonparametric technique and a seed based clustering algorithm is reported. The method has been applied to clinical unsubtracted angiograms of the human heart. The first step of the method consists in applying a mean shiftba...

in this paper two nodes to model isotropic and anisotropic media in transmission line matrix method (tlm) are presented. by using these two nodes, the permeability and permittivity of an anisotropic media can be modeled simultaneously. another application of these nodes is in modeling media with permittivity and permeability less than one. in the conventional 2 dimensional tlm, the stubs repres...

plied successfully to the analysis of the normalized LMS (NLMS) Providing a quantitative mean-squared-error analysis of adaptation algorithms is of great importance for determining their usefulness and for comparison with other algorithms. However, when the algorithm reutilizes previous data, such analysis becomes very involved as the independence assumption cannot be used. In this paper, a tho...