1. student research committee, urmia university of medical sciences, urmia, iran 2. dept. of medical physics, faculty of medicine, urmia university of medical sciences, urmia, iran 3. dept. of radiology, faculty of medicine, imam khomeini hospital, urmia university of medical sciences, urmia, iran                             corresponding author: akbar gharbali, phd; assistant professor of medi...

Group dynamics features are important factors for improving farmers’ socio-economic status. This study focused on the effect of group dynamics features on the socio-economic status of cocoa farmers in Ogun State, Nigeria. A multi-stage sampling technique was used to select 93 cocoa farmers for the study. Descriptive statistics and linear regression were used to analyze the data. Results showed ...

Physical characteristics of different features in desert is a reflection of severe thermal and climatic conditions. In this paper, diurnal surface temperature patterns of important surface features in Lut Desert were studied and the relationship among different surfaces analyzed. Diurnal trend in surface temperature of surface types, marl, dark sand, light sand, salt-affected soil, soul at 10 c...

We present an approach for simultaneous monocular 3D face pose and facial animation tracking. The pose and facial features are estimated from observed raw brightness shape-free 2D image patches. A parameterized 3D face model is adopted to crop out and to normalize the shape of patches from video frames. Starting from the face model aligned on an observed human face, we learn the relation betwee...

Current speech recognition systems uniformly employ short-time spectral analysis, usually over windows of 1030 ms, as the basis for their acoustic representations. Any detail below this timescale is lost, and even temporal structure above this level is usually only weakly represented in the form of deltas etc. We address this limitation by proposing a novel representation of the temporal envelo...

For many years we have had digital photogrammetric systems available that can perform automatic interior and relative orientation of aerial photographs. Developments in absolute and exterior orientation are not so robust because the problem is significantly more difficult. The reason for the increase in difficulty is that there is no easy way to create the master image or target patch which rep...

Principal Components Analysis (PCA) is often used as a feature extraction procedure. Given a matrix X ∈ R, whose rows represent n data points with respect to d features, the top k right singular vectors of X (the so-called eigenfeatures), are arbitrary linear combinations of all available features. The eigenfeatures are very useful in data analysis, including the regularization of linear regres...

In this paper we present a novel approach for articulatory features extraction. Our approach relies on an autosegmental multilinear representation of AFs. Overlap and precedence relations between AFs on the different levels of the multi-linear representation can be extracted and then presented to a phonological parser for further recognition. This representation models co-articulation affect. W...