Role of multi-response principal component analysis in reliability-based robust design optimization: an application to commercial vehicle design

2018 ◽  
Vol 58 (2) ◽  
pp. 785-796 ◽  
Author(s):  
Juhee Lim ◽  
Yong Sok Jang ◽  
Hong Suk Chang ◽  
Jong Chan Park ◽  
Jongsoo Lee
Keyword(s):  
Principal Component Analysis ◽  
Design Optimization ◽  
Robust Design ◽  
Commercial Vehicle ◽  
Principal Component ◽  
Component Analysis ◽  
Robust Design Optimization ◽  
Vehicle Design

scholarly journals A-49 Visual Memory Errors and Intelligence: The Role of Verbal Mediation

2019 ◽  
Vol 34 (6) ◽  
pp. 908-909
Author(s):  
K Hakinson ◽  
J Moses ◽  
J RIvera ◽  
A Guerra ◽  
M Davis ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Perceptual Organization ◽  
Visual Memory ◽  
Principal Component ◽  
Component Analysis ◽  
Spoken Language ◽  
Verbal Mediation ◽  
Memory Errors ◽  
Shared Variance

Abstract Objective Examine the relationship of verbal mediation with visual memory errors and intelligence to understand the role of spoken language on other assessment measures. Method Assessment records were obtained from a Veteran Affairs clinic for veterans (n=100) with diverse neuropsychiatric conditions who completed the Wechsler Adult Intelligence Scale, third edition (WAIS-III), Multilingual Aphasia Examination (MAE), and Benton Visual Retention Test (BVRT). A Principal Component Analysis (PCA) was used to examine the interrelationship among these assessments. The components of spoken language, types of errors on the BVRT, and the four factors of the WAIS-III were factored using the PCA to identify common sources of variance. Results A principal component analysis revealed a six-factor model explaining 68.16% of the shared variance among the WAIS-III factors, MAE components, and BVRT Errors. Omission errors loaded with Processing Speed and Controlled Word Association. Distortions and size errors loaded with Perceptual Organization. Size errors also loaded with Verbal Comprehension and Visual Naming. Misplacements loaded with Working Memory and Sentence Repetition. Misplacements, perseverations, and omissions loaded with the Token Test (a measure associated with auditory comprehension). Rotation errors loaded with Perceptual Organization. Conclusions Results indicated significant shared variance between visual memory errors, spoken language, and intelligence factors. This suggests that spoken language is involved in the process of visual memory, and deficits in spoken language may result in increased errors on visual memory tasks. Therefore, treatment recommendations for visual memory difficulties should take into consideration verbal capabilities and intelligence factors to better individualize treatment.

Sex Assignment to Whole Human Responses in Rorschach

2017 ◽  
Vol 38 (2) ◽  
pp. 108-128
Author(s):  
Christian Mormont ◽  
Patrick Fontan
Keyword(s):  
Principal Component Analysis ◽  
Hierarchical Clustering ◽  
Empirical Investigation ◽  
Principal Component ◽  
Component Analysis ◽  
Second Step ◽  
Chi Square ◽  
Sex Assignment ◽  
Formal Quality

Abstract. According to the theory of identification, men are more likely to qualify their Rorschach human content responses as males, and women as females. These assumptions were tested in an empirical investigation using a Belgian nonpatient sample of 800. All human responses and their location were listed. Analyses were carried out on the 10 Cards and on the formal quality (FQo vs. FQu/−) of all human responses according to the subject’s and the examiner’s sex. Variables were first submitted to principal component analysis, and resulting components were compared in a 2 × 2 design in order to assess examiners’ and participants’ sex potential effects on human responses sex assignments. Univariate and multivariate ANOVA revealed no or only negligible differences. In a second step, distributions of masculine, feminine, and neutral human responses across 16 card locations that commonly elicit human responses were submitted to hierarchical clustering in order to identify masculine, feminine, and neutral locations in Rorschach cards. Chi-square tests revealed no significant association between participants’ sex and human responses locations. Results do not corroborate predictions according to the theory of identification but they do, however, highlight the role of the distal features of blots.

Role of Principal Component Analysis (PCA) in the Evaluation of Competitiveness of Small Firms

2014 ◽  
Vol 926-930 ◽  
pp. 3954-3957 ◽  
Author(s):  
Li Ping Xiao ◽  
Yang Liu
Keyword(s):  
Principal Component Analysis ◽  
Statistical Analysis ◽  
Small Firms ◽  
Principal Component ◽  
Component Analysis ◽  
Multivariate Statistical ◽  
Role Of Principal ◽  
The Index System ◽  
Dimension Reducing

Principal Component Analysis (PCA) is a method of multivariate statistical analysis and has been widely used in statistical and mathematical analysis. We use this method in the evaluation of competitiveness of small firms. Using the data of 30 small firms, we build the index system to evaluate competitiveness. Our results show that Principal Component Analysis (PCA) is useful in dimension reducing and we find that profitability, growth,size and human resource are important influencing factors in the competitiveness of small firms.

scholarly journals Correlation between victimity and patterns of marital coping in families with disabled children

2021 ◽  
Vol 26 (4) ◽  
pp. 129-138
Author(s):  
Il’ya N. Leonov
Keyword(s):  
Principal Component Analysis ◽  
Causal Relationship ◽  
Empirical Research ◽  
Social Role ◽  
Principal Component ◽  
Component Analysis ◽  
Disabled Children ◽  
Coping Behaviour

The paper presents the results of empirical research of correlation between victimity and patterns of marital coping in families with disabled children. Principal component analysis allowed to identify three patterns of marital coping: «wife's confrontation with husband»; «husband's blaming of wife» and «husband`s distancing from problem». It was found that patterns «wife's confrontation with husband» and «husband's blaming of wife» are positively correlated. Wife`s types of victimisation are positively correlated with pattern of marital coping «wife's confrontation with husband». Husband`s roleplay of victim is positively correlated with pattern «husband's blaming of wife» and husband`s social role of victim is negatively correlated with pattern «husband`s distancing from problem». But there is no evidence for establishing a causal relationship between victimity and patterns of marital coping behaviour.

scholarly journals Characterization of manufacturing uncertainties with applications to uncertainty quantification and robust design optimization

2021 ◽  
pp. 1-16
Author(s):  
Dirk Wunsch ◽  
Charles Hirsch
Keyword(s):  
Design Optimization ◽  
Uncertainty Quantification ◽  
Robust Design ◽  
Principal Component ◽  
Robust Design Optimization ◽  
Marine Propeller ◽  
Reconstruction Accuracy ◽  
The Impact ◽  
Deformation Modes

Methodologies to quantify the impact of manufacturing uncertainties in 3D CFD based design strategies have become increasingly available over the past years as well as optimization under uncertainties, aiming at reducing the systems sensitivity to manufacturing uncertainties. This type of non-deterministic simulation depends however strongly on a correct characterization of the manufacturing variability. Experimental data to characterize this variability is not always available or in many cases cannot be sampled in sufficiently high numbers. Principal Component Analysis (PCA) is applied to the sampled geometries and the influence of tolerances classes, sample size and number of retained deformation modes are discussed. It is shown that the geometrical reconstruction accuracy of the deformation modes and reconstruction accuracy of the CFD predictions are not linearly related, which has important implications on the total geometrical variance that needs to be retained. In a second application the characterization of manufacturing uncertainties to a marine propeller is discussed. It is shown that uncertainty quantification and robust design optimization of the marine propeller can successfully be performed on the basis of the derived uncertainties. This leads to a propeller shape that is less sensitive to the manufacturing variability and therefore to a more robust design.

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