scholarly journals Метода анализа данных магнитной энцефалографии в облачном сервисе MathBrain

2017 ◽  
Vol 12 (1) ◽  
pp. 176-185 ◽  
Author(s):  
С.Д. Рыкунов ◽  
S.D. Rykunov
Keyword(s):  
Principal Component Analysis ◽  
Inverse Problem ◽  
Quantitative Analysis ◽  
Magnetic Resonance Image ◽  
Fourier Transforms ◽  
Principal Component ◽  
Component Analysis ◽  
Software As A Service ◽  
Service Model ◽  
Magnetic Encephalography

MathBrain is a cloud-based application, distributed under Software as a Service model. This application provides access to several algorithms of the multichannel encephalography data analysis. Spectral methods include direct and inverse Fourier transforms and quantitative analysis. Statistical methods involve principal component analysis and independent component analysis. The field maps of elementary components can be used to solve the magnetic encephalography inverse problem and to display the result at the magnetic resonance image. The application is designed to be used in human brain studies without mathematical training.

Quantitative analysis of interspecific and ontogenetic variation in Osteoglossum species (Teleostei: Osteoglossiformes: Osteoglossidae)

Zootaxa ◽  
2006 ◽  
Vol 1239 (1) ◽  
pp. 49 ◽  
Author(s):  
MARIA E.C. LEAL ◽  
VIVIANNE B. DE SANT-ANNA
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Analysis ◽  
Intraspecific Variation ◽  
Principal Component ◽  
Component Analysis ◽  
Growth Trajectories ◽  
Ontogenetic Variation ◽  
Morphometric Characters ◽  
Interspecific And Intraspecific Variation

Patterns of interspecific and intraspecific variation were investigated on samples of postembryos, juveniles, and adults of the two species of the osteoglossid genus Osteoglossum (O. bicirrhosum and O. ferreirai). Twenty-two morphometric characters were analyzed, utilizing principal component analysis (PCA) that discriminate ontogenetic classes and between species. The results showed differences in both categories. Morphometric characters related to dorsal and anal fin lengths proved to be the most important in taxonomic recognition. The comparison of growth trajectories for these characters showed that growth offset for O. bicirrhosum overlaps with growth onset for O. ferreirai, which may be indicative of a peramorphic morphology in the latter species.

scholarly journals The Principal Component Analysis of Tribological Tests of Surface Layers Modified with IF-WS2 Nanoparticles

2015 ◽  
Vol 235 ◽  
pp. 9-15
Author(s):  
Jacek Pietraszek ◽  
Joanna Korzekwa ◽  
Andrii Goroshko
Keyword(s):  
Principal Component Analysis ◽  
Inverse Problem ◽  
Surface Layer ◽  
Statistical Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Two Dimensional ◽  
Technological Parameters ◽  
Surface Layers ◽  
Hyper Plane

The investigation described in this paper resulted in some complicated statistical analysis. The first level was an experimental design with technological parameters as factorials input and geometrical surface layer properties as quantitative outputs. The second level was an analysis generally leading to an optimization inverse problem: what parameters result in desired surface layer properties. The principal component analysis was made to identify possibility of a dimensionality reduction and simplify the optimization. Obtained results showed that the experimental dataset is practically two-dimensional but PCA projection involves all factors into the skewed hyper-plane. This paper contains a description of the problem, obtained results, analysis and conclusions.

Kansei Quantitative Analysis and its Application to Drum Washing Machine Apperence Design

2013 ◽  
Vol 401-403 ◽  
pp. 193-196 ◽  
Author(s):  
Sai He ◽  
Jian Ming Che
Keyword(s):  
Principal Component Analysis ◽  
Statistical Analysis ◽  
Quantitative Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Kansei Engineering ◽  
Washing Machine ◽  
Design Elements ◽  
Statistical Analysis Method

Kansei Engineering (KE) refers to the translation of consumers' emotional requirements about a product into perceptual design elements. The Kansei Engineering is applied to the drum washing machine aided by a variety of engineering mean.Semantic differential (SD) is applied to extract the kansei tags.Multivariate statistical analysis method is also used for data mining.The data of design elements is processed by principal component analysis (PCA) and SPSS.

Quantitative Analysis for Nonlinear Fluorescent Spectra Based on Principal Component Analysis

2009 ◽  
Vol 29 (5) ◽  
pp. 1285-1291 ◽  
Author(s):  
陈扬 Chen Yang ◽  
张太宁 Zhang Taining ◽  
郭澎 Guo Peng ◽  
王湘晖 Wang Xianghui ◽  
王倩 Wang Qian ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Fluorescent Spectra

scholarly journals Multivariate statistical analysis of tropane alkaloids in Anisodus tanguticus (Maxim.) Pascher from different regions to trace geographical origins

2021 ◽  
Author(s):  
Chen Chen ◽  
Jingjing Li ◽  
Feng Xiong ◽  
Bo Wang ◽  
Yuanming Xiao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Analysis ◽  
Discriminant Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Geographical Origin ◽  
Principal Component ◽  
Tropane Alkaloids ◽  
Component Analysis ◽  
Tibet Plateau

Abstract Anisodus tanguticus (Maxim.) Pascher is an important Tibetan folk medicine and the source of tropane alkaloids (TAs) grown in Qinghai-Tibet Plateau. There are marked differences in quality of A. tanguticus from geographic areas. The aim of present research was to establish a method for the quantitative analysis of TAs coupled with chemometrics analysis to trace geographical origins. Qualitative analysis of TAs in A. tanguticus was carried out using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and quantitative analysis of TAs in different plant organs from different geographical origin was achieved. Contents of TAs were subjected to the principal component analysis, and orthogonal partial least-squares discriminant analysis. The contents of the three marker compounds (anisodamine, anisodine and atropine) in the roots and acrial parts of A. tanguticus were positive correlated and varied significantly from different geographical origins. Principal component analysis, and orthogonal partial least-squares discriminant analysis results showed excellent discrimination between different geographical origin of A. tanguticus. This study could provide comprehensive evaluation and further utilization of A. tanguticus resources.

scholarly journals Quantitative Analysis of Velopharyngeal Movement by Applying Principal Component Analysis to Range Images Produced by a Three-Dimensional Endoscope

2017 ◽  
Vol 5 (2) ◽  
pp. 14
Author(s):  
Asuka Nakano ◽  
Katsuaki Mishima ◽  
Mami Shiraishi ◽  
Hirotsugu Umeda ◽  
Hiroyuki Nakano ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Quantitative Analysis ◽  
Three Dimensional ◽  
Principal Component ◽  
Component Analysis ◽  
Range Images
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