Abstract After performing highly sensitive acceleration measurements during two years of drag-free flight around the Earth, MICROSCOPE provided best constraint on weak equivalence principle (WEP) to date. Beside being a technological challenge, this experiment required specialised data analysis pipeline look for potential small signal buried in noise, possibly plagued by instrumental defects, m...

This paper presents an approach to emotion recognition from speech signals and textual content. In the analysis of speech signals, thirty-three acoustic features are extracted from the speech input. After Principle Component Analysis (PCA) is performed, 14 principle components are selected for discriminative representation. In this representation, each principle component is the combination of ...

Abstract. Dual Gramian analysis is one of the fundamental tools developed in a series of papers [37, 40, 38, 39, 42] for studying frames. Using dual Gramian analysis, the frame operator can be represented as a family of matrices composed of the Fourier transforms of the generators of (generalized) shiftinvariant systems, which allows us to characterize most properties of frames and tight frames...

assessment of different plant genetic resources clarifies genetic variation and makes it possible to apply them in plant breeding programs. in this experiment, 27 selected lines of common bean (phaseolus vulgaris l.), one local landrace and two conventional bean cultivars (talash and cos-16 as controls), sown using randomized complete block design with three replications in the research farm of...

Principal Components Analysis (PCA) consists in nding the orthogonal directions of highest variance in a distribution of vectors. In this paper, we propose to extract the principal components of a random vector that partially results from a previous PCA. We demonstrate that this contextual PCA pro vides an optimal linear encoding of temporal con text. A recurrent neural netw ork based on this p...

Introduction: In Processes Modeling, when there is relatively a high correlation between covariates, multicollinearity is created, and it leads to reduction in model's efficiency. In this study, by using principle component analysis, modification of the effect of multicolinearity in Artificial Neural Network (ANN) and Logistic Regression (LR) has been studied. Also, the effect of multicolineari...

identification and evaluation of indigenous genotypes of fruit trees are matter of consideration at the first step of the breeding programs. in order to study genetic diversity and to identify promising genotypes, 14 different genotypes of walnut in minoodasht region in golestan province (north of iran) were evaluated. traits such as nut shape, kernel color, ease of removal of kernel halves, ke...