Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 70 for “"Principal Components Analysis (PCA)"”.
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Seismic Response of Low -Rise Shear Wall Structures With Flexible Diaphragms
… The proposed methods are based on the principal modes obtained from a principal components analysis (PCA) of computed inelastic dynamic responses. The method can consider variations in the design response spectrum and gives reasonably good estimates for use for preliminary design of the …
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Inferences on high-dimensional data
… than the number of observations. Two methods, principal components analysis (PCA) and partial least squares (PLS), are used for regression and classification. We show that the null distribution of the PLS ""f-test"" statistic, which is obtained from one factor PLS regression, depends heavily on …
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A collaborative, multi-agent based methodology for abnormal events management
… approaches, namely, self-organizing map (SOM), principal components analysis (PCA), and kernel density estimator (KDE) were extended in this thesis to the domain of transient operations.
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Exploring the Benefits of an Outdoor Adventure Program for Improving Self-Esteem and Self-Efficacy and Reducing Problem Behaviors in Adolescent Girls
… than girls from "lower security" families. A principal components analysis (PCA) was run to review test properties of one of the study measures, the modified General Self-Efficacy Scales. Limitations of the study, including low power and few statistically significant results, are discussed.</P>
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Exploring the Benefits of an Outdoor Adventure Program for Improving Self-Esteem and Self-Efficacy and Reducing Problem Behaviors in Adolescent Girls
… than girls from "lower security" families. A principal components analysis (PCA) was run to review test properties of one of the study measures, the modified General Self-Efficacy Scales. Limitations of the study, including low power and few statistically significant results, are discussed.</P>
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MusicBox : navigating the space of your music
… into a two-dimensional space, applying principal components analysis (PCA) to a combination of contextual and content-based features of each of the musical tracks. The resulting map shows similar songs close together and dissimilar songs farther apart. MusicBox is fully interactive and …
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Optimizing the structure and movement of a robotic bat with biological kinematic synergies
… represented in a low-dimensional space. We use principal components analysis (PCA) to characterize the dominant modes of biological bat flight kinematics, and optimize our robotic design to mimic these. In particular, we use the first and second principal components to shape the parametric …
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The effects of manufacturing variability on turbine vane performance
… vane. Variability is characterized by performing Principal Components Analysis (PCA) on a set of measured vanes and then applied to a different vane design. The performance scatter of that design is estimated through Monte Carlo analysis. The effect of a single PCA mode on performance is estimated …
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Geospatial and statistical foundations for streamflow synthesis in West Virginia
… geologic, and hydrogeologic measurements. Principal components analysis (PCA) was used to derive a set of master variables that characterize stream flow in West Virginia based on historical data from 29 watersheds. The relationships between variables affecting stream flow were also analyzed …
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Correlated long-distance dynamics modulate monoclonal antibody binding resistance in flaviviral envelope pretein domain-3: A molecular dynamics simulations study
… using molecular dynamics (MD) simulations and principal components analysis (PCA). I found that residues constituting binding sites for the MAbs, when mutated, drastically perturb the organized motions in the peptide. Cross-correlation analysis of the dynamics established that the MAb binding …
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Teste de atribuição das emoções em situações de bullying - AESB: evidências psicométricas
… and bystander) of the situations. We held the principal components analysis (PCA) (Varimax rotation), the Scree test. It was set extracting 3 factors, which explain 30% of the total variance, whose Cronbach alphas ranged from .46 to .82. These findings reveal that two factors the AESB meets …
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A State-of-the-Art Artificial intelligence model for Infectious Disease Outbreak Prediction. Infectious disease outbreak have been predicted in England and Wales using Artificial Intelligence, Machine learning, and Fast Fourier Transform for COVID-19.
… accuracy; 3) Dimensionality reduction utilising principal components analysis (PCA) to optimise the impact of the data volume; 4) Predicting case numbers utilising an artificial neural network model, with 52% accuracy; 5) Enhancing accuracy by incorporating Fast Fourier Transform (FFT) feature …
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Hedging Interest-Rate Options Using Principal Components Analysis
… securities. As an alternative, we consider using principal components analysis (PCA) to condense most of the variability in the market rates into a much smaller number of risk factors, called the principal components. One can then construct a hedging portfolio so as to make the portfolio immune to …
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Generalized Principal Component Analysis
… of this dissertation is to extend the classical Principal Components Analysis (PCA), aiming to reduce the dimensionality of a large number of Normal interrelated variables, in two directions. The first is to go beyond the static (contemporaneous or synchronous) covariance matrix among these …
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Phylogenetic Study of Apocynaceae Juss. And Aspidosperma Mart. And Zucc
The systematic analysis of species boundaries and relationships within the genus Aspidosperma was accomplished with a combination of phenetic and cladistic methods. The phenetic part of the study used principal components analysis (PCA) of morphological variation to establish basic units which were …
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Using Ears for Human Identification
… also present a method for classifier fusion. Principal components analysis (PCA) is used in this research for feature extraction and dimensionality reduction. For classification, nearest neighbor classifiers are used. The research also investigates the use of ear images as a supplement to face …
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Dimension Reduction on Measures of Impulsivity
… techniques for quantitative data. Results from a Principal Components Analysis (PCA) were compared with results from a novel dimension technique known as Local Linear Embedding (LLE). LLE is an analysis of dimension reduction for nonlinear, high dimensional data. By computing neighborhood …
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The development of the Leeds alliance in supervision scale (LASS): A brief sessional measure of the supervisory alliance
… to 98 UK trainee Clinical Psychologists. Principal Components Analysis (PCA) of the data resulted in a 2-factor solution. Hierarchical Cluster Analysis led to the identification of 3 clusters measuring the supervisory alliance. Representative items were chosen, resulting in the 3-item …
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Small Mammal Habitat Associations in a Fragmented Agricultural Landscape
… differences in patterns of habitat selection. A principal components analysis (PCA) revealed two largely non-overlapping species groups defined by PC 1: those associated with more open-canopy habitats and those associated with closed-canopy, mature forest habitats. Neotoma floridana, Ochrotomys …
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Using multivariate statistical procedures to identify ignitable liquid residues in the presence of interferences
… (GC-MS) is a common technique used in the analysis of fire debris. In this approach, the chromatogram of an ignitable liquid residue (ILR) extracted from the debris is visually compared to chromatograms of neat liquids in a reference collection. However, the association of the ILR to the …
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