Hyperspectral images are one of the most important fundamental and strategic information resources, imaging the same ground object with hundreds of spectral bands varying from the ultraviolet to the microwave. With the emergence of huge volumes of high-resolution hyperspectral images produced by all sorts of imaging sensors, processing and analysis of these images requires effective retrieval t...

using piezoelectric patches the stress concentration around a hole on a plate under tension is reduced and controlled. to attain the reduction in stress two placements for piezoelectric patches is investigated. the first location is top/bottom of the hole with compression induced strain and the second is left/right of the hole with tension induced strains to control the stress flow. the result ...

This paper proposes a method of reducing dimensions based on genetic algorithm and object-oriented classification based on support vector machine (SVM). The basic idea is subspace decomposition of hyperspectral images at first, then selecting suitable bands in each subspace by using genetic algorithm and putting all selected bands of each subspace together. Furthermore, the hyperspectral image ...

Description The library contains R-functions to estimate the effective dimension reduction space in multi-index regression models.

background: the aim of this study was to evaluate whether an eight-week group mindfulness-based stress reduction program would be an acceptable and effective treatment for patients suffering from gad. methods: eligible subjects with generalized anxiety disorder were recruited to parsa hospital and shahid rajaee counseling and social work center from june 2009 to october 2011. an experienced psy...

Present research with the aim of the studying the efficacy of training of mindfulness based stress reduction (MBSR) in the reduction of occupying mothers in proportion to mother-infant has carried out. The way of the present search is a study quasi-experimental. The method of its pre-test and post-test with control and experimental groups. In this research, nurse mothers of Rasht with the tool ...

In the past few years second order statistical features (e.g. Markov transition probability matrix) have been proved to be effective features for image forgery detection. In this paper, conditional co-occurrence probability matrix (CCPM) which is third order statistical features is proposed to detect image splicing. Since the dimensionality depends exponentially on the order of features, princi...