Dissertations / Theses: 'Class analysis'

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Animento, Stefania. "Bringing Movement into Class Analysis." Doctoral thesis, Humboldt-Universität zu Berlin, 2021. http://dx.doi.org/10.18452/22844.

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Migration wird oft als soziales Problem dargestellt, das mit Benachteiligungen einhergeht. Allerdings hat die Migrationsforschung in den letzten Jahren gezeigt, dass Migration sich u.a. durch Klasse, Geschlecht und Ethnizität ausdifferenziert. Diese Studie fokussiert auf das Konzept der sozialen Klasse. Die Studie schlägt vor, Mobilität als Ressource zu betrachten, die in der Gesellschaft ungleichmäßig verteilt ist. Wie beeinflusst die soziale Klasse der Migrant_innen ihre räumliche Mobilität und die Art und Weise, wie sie mit Migrationsregimen interagieren? Wie beeinflusst ihre Mobilität die Prozesse von Klassenformation, in denen sie während der Migration involviert werden? Die Analyse erfolgt durch die Untersuchung der Migrationsgeschichten von jungen italienischen Migrant_innen, die seit 2008 nach Berlin zugewandert sind. Sie basiert auf einem Mix an Methoden, bzw. einer Online-Umfrage, 40 Interviews, drei Fokus-Gruppen und zahlreichen teilnehmenden Beobachtungen. Erstens untersucht der theoretische Teil die Entwicklung des Konzeptes der sozialen Klasse und deckt die Leerstellen der Klassenforschung auf. Zweitens wird im empirischen Teil den Zugang italienischer Migrant_innen zu Wohnen und Arbeit in Berlin untersucht. Schließlich beweist die Studie, dass das Regime der „freien“ EU-Binnenmigration wohl durch die Entstehung von Grenzen auf lokaler Ebene gekennzeichnet ist. Nach der Analyse scheint dieses Regime eher eine Lebensführung zu favorisieren, in der permanente Mobilisierung der eigenen Arbeitskraft notwendig ist. Die Studie bestätigt, dass Mobilität als Ressource zu betrachten ist, die zunehmend relevant für den Lebensunterhalt ist, und plädiert deshalb dafür, eine kritische Perspektive auf Migration zu entwickeln, die den Fokus auf die Frage nach der Kontrolle und Eigentum von Mobilität setzt.
Migration has been studied for long time as a social problem, both for migrants and for sending and destination countries. However, research shows that migration has become increasingly differentiated along social, economic, gender and cultural lines. The present study unravels the concept of migration by introducing social class as a crucial intervening variable. It suggests considering mobility as an income-generating resource unevenly distributed across the population. How does the social class of migrants affect their mobility and the ways how it is incorporated into a migration regime? How is mobility related to processes of class formation in contemporary capitalism? The study focusses on the case of young Italian migrants who moved to Berlin after the economic crisis of 2008. Firstly, it tackles the rise, decline and renaissance of the class concept, showing the blind spots of class analysis. Secondly, the empirical part, based on a web survey, 40 interviews, 3 focus groups and several participant observations, explains how Italian migrants access resources in Berlin developing a life conduct predicated on mobility. The imperative to move spills over from the domain of spatial mobility into the domain of work, with the refusal of doing the same job “forever”, and into that of reproduction, with the construction of flexible forms of emotional engagement. The research highlights how newcomers enter processes of social differentiation on the housing and labor market. Endless mobilization of young labour force appears as the main policy goal for the governance of intra-EU migration. The analysis finally suggests considering mobility as a class-related resource, whose ownership and control should become a crucial issue for the understanding of contemporary societies.

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Rieland, Weston A. "Increasing class participation: A comparative analysis." Scholarly Commons, 2008. https://scholarlycommons.pacific.edu/uop_etds/2610.

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Typically in the secondary educational system, classes are held in the whole-class lecture format. In this arrangement, opportunities for active engagement are low. Instructional methods such as response cards and guided notes have been examined for their efficacy in increasing active class participation, but little of this research had been conducted in a university setting. The current study compared three instructional techniques: whole-class lecture, response cards, and guided notes. Data collected from six discussion sections were compared in terms of: percentage of students actively engaged during each programmed opportunity and students' daily quiz scores following each instructional period. Results suggested that while active participation was significantly higher in the response card condition, quiz scores were unaffected by instructional method.

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Ernste, Huib, and Manfred M. Fischer. "Latent Class Modeling and Typological Analysis." WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/4222/1/WSG_DP_1191.pdf.

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GERWE, JENNIFER LYNN. "CLASS AS PROCESS: AN ANALYSIS OF EAST END AND TAIWANESE WORKING-CLASS PRACTICES." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1022878143.

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Abu, Alhaija Elham Saleh Jaber. "Class III malocclusion : analysis and growth prediction." Thesis, Queen's University Belfast, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361352.

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Animento, Stefania [Verfasser]. "Bringing Movement into Class Analysis / Stefania Animento." Berlin : Humboldt-Universität zu Berlin, 2021. http://d-nb.info/1233678566/34.

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Morales, Emma R. "Middle-class gatedness : a practice-based analysis of middle-class gated communities in Mexico." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/16257/.

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Gated communities are a global phenomenon - a common housing choice for middle-income groups in contexts of large socio-economic disparities. They have recently gained academic attention, and scholarly work since the late 1990s has focused primarily on drivers such as security, status, prestige, and social homogeneity. However, the proliferation of these enclaves is not only the result of individual motivations and choices, but rather a complex issue that goes beyond the gates. In this thesis, I propose that the discussion should focus not on the physical artefact (gated communities) but the policies, practices, and meanings that enable their existence. I centre the discussion on the concept of “gatedness”, which embodies the three elements of practice proposed by Shove et al. (2012): materials, competences, and meanings. The research took place in Mexico, a country with a history of debt-fuelled economy that affects individual households, particularly middle class families. The thesis provides elements for better understanding the complexity of the gated communities’ social phenomenon, where global economic forces affect national housing, land, finance, and planning policies, while shaping individual practices fed by aspirations and anxieties. The focus on the middle class population is mainly due to their role in the proliferation of these enclaves, and also because of the challenges to sustaining their lifestyle in a context of social, economic, and political uncertainty. Research was conducted with a qualitative approach using the case study of Lomas de Angelópolis, a large-scale suburban gated community in Puebla, Mexico. This research adds to previous knowledge about gated communities by recognising how elements of practice shape the physical world. Understanding these spaces better could help planners and policymakers in countries with similar dynamics to Mexico, propose alternatives to make cities more equitable, addressing the aspirations and anxieties of the middle classes without critically affecting access to opportunities to others.

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Henriquez, Ronald Rene. "Fluorometric sedimentation equilibrium for lipoprotein sub-class analysis." Thesis, [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2027.

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Alessandri, Dominique. "Attack-class-based analysis of intrusion detection systems." Thesis, University of Newcastle Upon Tyne, 2004. http://hdl.handle.net/10443/2094.

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Designers of intrusion detection systems are often faced with the problem that their design fails to meet the specification because the actual implementation is not able to detect attacks as required. This work aims at addressing such shoncomings at an early stage of the design process. The proposed method provides guidance to intrusion detection systems designers by predicting whether or not a given design will be able to detect certain classes of attacks. Our method achieves this by introducing a classification of attacks and a description framework for intrusion detection systems. The attack classification and the description framework are defined at a common level of abstraction. and thereby form the basis for our analysis method which determines the attack classes that a given intrusion detection system design can detect. Intrusion detection system designers can use these results to determine where the design meets the specification and where it does not. These insights facilitate a more systematic and effective design process because they can be gained at an early stage of the design process without the need of actually implementing the design. Finally. we show how our approach to intrusion detection system design analysis can be validated and how the analysis results can be used for further applications such as guiding the design of intrusion detection architectures that combine diverse intrusion detection systems.

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Tan, Lien Seng. "Analysis and implementation of the class E amplifier." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624708.

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Sheehy, Robert Rowland. "A phylogenetic analysis of the Accipitridae (class Aves)." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187367.

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The avian family Accipitridae is a large, diverse family composed of approximately 230 species divided into 56 genera. The evolutionary relationships among Acciptrid taxa have been examined previously using phenetic and parsimony approaches and a variety of data sets. These studies have resulted in conflicting phylogenies, presumably due to the high level of homoplasy, perhaps, the result of convergence on diet. To develop a firm understanding of the relationships among the major species groups (i.e., morphological types) an analysis of DNA sequence data from the mitochondrial encoded cytochrome-b gene was undertaken. Parsimony, distance and maximum likelihood methods were used to explore the phylogenetic relationships among the Accipitridae. Major findings of the molecular study includes support for the polyphyly of the Kite genera and the sister group relationship of the Osprey (Pandion) with Acciptrid taxa. Evidence based on branch length analysis suggest one or two of periods of rapid morphological diversification. Osteological characters from 44 genera were analyzed alone, and in concert with molecular data. These data yielded phylogenetic trees that were very similar to those trees produced solely by the molecular data. Statistical support for the osteological tree, as demonstrated by bootstrap values, was very weak; supporting, only partially, the clade of old world vultures (Aegypiinae). The phylogenetic signal contained in the osteological data set was estimated using the g1 statistic determined from random tree length distributions. G1 values were found to be dependent on the frequency distribution of character states. Analysis of the g1 statistic from native and shuffled data sets was found to be a less biased method of examining a data set for phylogenetic signal. Divergence times estimated from branch lengths suggest that the Accipitridae diverged from other diurnal raptors approximately 75 million years ago. Clades representing the major morphological diversity among the Accipitridae diverged about 40 million years ago over a period of approximately 7 million years.

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Hasima, Noor. "Analysis of class I MHC genes in cattle." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/15004.

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The aim of this project was to isolate a functional BoLA class I gene, to transfect this into L cells and to investigate the possibility of a second BoLa class I locus. Attempts to isolate a functional BoLA class I gene from a cosmid library were unsuccessful, but clones encoding complete BoLA genes were successfully identified from a bacteriophage library. This library was made from animal 10769 which has BoLA type w10/w11 and the genes were identified with a class I cDNA probe, pBoLA-1. These clones were transfected into mouse L cells to look for expression. One of the clones, 19.1, expressed class I molecules when analysed by indirect immunofluorescence on the FACScan and by fluorescence microscopy. The Northern blot analysis confirmed class I transcription products when probed with pBoLA-1. Clone 19.1 was identified as encoding a w11 gene by a microlymphocytotoxicity test. Also in a T cell cytotoxicity assay, Ltk 19.1 cells were killed by alloreactive anti w11 cytotoxic T cell clones but not by anti w10 clones. Nucleotide sequencing of gene encoded in 19.1 demonstrated homology between this and BoLA cDNA clones and HLA. Therefore a functional BoLA class I gene with a BoLA type w11 was isolated and is a stepping stone to many other investigations.

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Granado, Elvalicia A. "Comparing Three Effect Sizes for Latent Class Analysis." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822835/.

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Traditional latent class analysis (LCA) considers entropy R2 as the only measure of effect size. However, entropy may not always be reliable, a low boundary is not agreed upon, and good separation is limited to values of greater than .80. As applications of LCA grow in popularity, it is imperative to use additional sources to quantify LCA classification accuracy. Greater classification accuracy helps to ensure that the profile of the latent classes reflect the profile of the true underlying subgroups. This Monte Carlo study compared the quantification of classification accuracy and confidence intervals of three effect sizes, entropy R2, I-index, and Cohen’s d. Study conditions included total sample size, number of dichotomous indicators, latent class membership probabilities (γ), conditional item-response probabilities (ρ), variance ratio, sample size ratio, and distribution types for a 2-class model. Overall, entropy R2 and I-index showed the best accuracy and standard error, along with the smallest confidence interval widths. Results showed that I-index only performed well for a few cases.

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Rie, Jaeryong. "Post-communist Polish economic reform : a class analysis /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Hedges, Stephanie Nicole. "A Latent Class Analysis of American English Dialects." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6480.

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Research on the dialects of English spoken within the United States shows variation regarding lexical, morphological, syntactic, and phonological features. Previous research has tended to focus on one linguistic variable at a time with variation. To incorporate multiple variables in the same analysis, this thesis uses a latent class analysis to perform a cluster analysis on results from the Harvard Dialect Survey (2003) in order to investigate what phonetic variables from the Harvard Dialect Survey are most closely associated with each dialect. This thesis also looks at how closely the latent class analysis results correspond to the Atlas of North America (Labov, Ash & Boberg, 2005b) and how well the results correspond to Joshua Katz's heat maps (Business Insider, 2013; Byrne, 2013; Huffington Post, 2013; The Atlantic, 2013). The results from the Harvard Dialect Survey generally parallel the findings of the Linguistic Atlas of North American English, providing support for six basic dialects of American English. The variables with the highest probability of occurring in the North dialect are ‘pajamas: /æ/’, ‘coupon: /ju:/’, ‘Monday, Friday: /e:/’ ‘Florida: /ɔ/’, and ‘caramel: 2 syllables’. For the South dialect, the top variables are ‘handkerchief: /ɪ/’, ‘lawyer: /ɒ/’, ‘pajamas: /ɑ/’, and ‘poem’ as 2 syllables. The top variables in the West dialect include ‘pajamas: /ɑ/’, ‘Florida: /ɔ/’, ‘Monday, Friday: /e:/’, ‘handkerchief: /ɪ/’, and ‘lawyer: /ɔj/’. For the New England dialect, they are ‘Monday, Friday: /e:/’, ‘route: /ru:t/’, ‘caramel: 3 syllables’, ‘mayonnaise: /ejɑ/’, and ‘lawyer: /ɔj/’. The top variables for the Midland dialect are ‘pajamas: /æ/’, ‘coupon: /u:/’, ‘Monday, Friday: /e:/’, ‘Florida: /ɔ/’, and ‘lawyer: /ɔj/’ and for New York City and the Mid-Atlantic States, they are ‘handkerchief: /ɪ/’, ‘Monday, Friday: /e:/’, ‘pajamas: /ɑ/’, ‘been: /ɪ/’, ‘route: /ru:t/’, ‘lawyer: /ɔj/’, and ‘coupon: /u:/’. One major discrepancy between the results from the latent class analysis and the linguistic atlas is the region of the low back merger. In the latent class analysis, the North dialect has a low probability of the ‘cot/caught’ low back vowel distinction, whereas the linguistic atlas found this to be a salent variable of the North dialect. In conclusion, these results show that the latent class analysis corresponds with current research, as well as adding additional information with multiple variables.

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Jiang, Zhenyu. "Statistical analysis of genomic data : a new model for class prediction and inference." Thesis, Curtin University, 2011. http://hdl.handle.net/20.500.11937/1017.

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Genomics is a major scientific revolution in this century. High-throughput genomic data provides an opportunity for identifying genes and SNPs (singlenucleotide polymorphism) that are related to various clinical phenotypes. To deal with the sheer volume of genetic data being produced, it requires advanced methodological development in biostatistics that is lagging behind the technical capability to generate genomic data. SNPs have great importance in biomedical research for comparing regions of the genome between cohorts (such as case-control studies). Within a population, SNPs can be assigned a minor allele frequency, the lowest allele frequency at a locus that is observed in a particular population, and be recoded to binary datasets. Therefore, it is important to develop suitable statistical methods for SNPs analysis of genome alteration with the goal of contributing to the understanding of complex human diseases or traits such as mental health.In this thesis, we develop new statistical methodologies for the analysis of schizophrenia genomic data from the WA Genetic Epidemiology Resource (WAGER). The motivation is driven by the schizophrenia class prediction, (i.e. the prediction of individuals’ disease status through their genotype and quantitative traits). In general, individual’s disease status is a nominal variable, while genotypes can be converted into ordinal variables but are of high dimension. Note that the usual nonparametric regression that is developed for continuous variables cannot be applied here. There are some methodologies, such as the tree-based logistic Non-parametric Pathway-based Regression model (NPR) proposed by Wei and Li (2007)available in the literature. However, it is found that this model does not well adapt to the data set that we are analyzing. It is even worse than the (generalized) linear logistic regression model. Using logistic discrimination rule, together with adding quantitative traits, some important results have been obtained. However, some shortcomings remain. Firstly, the generalized linear logistic model has a high type I error rate for schizophrenia classification. Secondly, quantitative traits required for schizophrenia class prediction are performance assessments which demand several hours on-site participation by both assessor and assessee. These traits are generally quite difficult to reach even for a medium size sample. Meanwhile, though the laboratory analyzing cost is high, a person’s genotype can be obtained by merely collecting a drop of blood.Thus, two kinds of nonlinear models are proposed to capture the nonlinear effects in SNP datasets, which are categorical. The main contributions of this thesis are summarized as follows: • Two kinds of nonlinear threshold index logistic regression models are proposed to capture the nonlinear effects by applying the idea of threshold models (Tong (1983, 1990)) which are parametric and therefore applicable to the categorical data. One of the proposed models, which is called the partially linear threshold index logistic regression (PL-TILoR) model, is given by log ( P(Yi = 1|Xi) 1 − P(Yi = 1|Xi) ) = ®TXi + g(¯TXi), (0.1) where Yi is the disease status of the ith person under case-control study, taking on values of 1 (case) or 0 (control), Xi is the vector of genotype variables, which is p-dimensional, and the superscript T stands for transpose of a vector or matrix. Here, ® and ¯ are p-dimensional unknown parameters with ¯ being an index vector used for the reduction of dimension, satisfying k¯k = 1 and ®T¯ = 0 for model identifiability, and g is, therefore, a one-dimensional nonlinear function, which is modelled as stepwise linear function through threshold effect (Tong, 1990), given below. g(z) = (b1z + b2)I{z•c} + (b3z + b4)I{z>c}, (0.2) where bi’s and c are unknown parameters to be estimated and IA is an indicator function of the set A. In practice, the first component in model (0.1) could also be nonlinear. In this case, model (0.1) becomes log ( P(Yi = 1|Xi) 1 − P(Yi = 1|Xi) ) = g1(®TXi) + g2(¯TXi), (0.3) where k®k = 1, k¯k = 1 and ®T¯ = 0 for model identifiability, and g1 and g2 are two one-dimensional nonlinear functions which are modelled by stepwise linear functions through threshold effects as follows: gk(z) = (bk1z + bk2)I{z•ck} + (bk3z + bk4)I{z>ck}, k = 1, 2, (0.4) where bki’s and ck’s are unknown parameters to be estimated. Thus, (0.3) and (0.4) form an additive threshold index logistic regression (ATILoR) model. • A maximum likelihood methodology is developed to estimate the unknown parameters in the PL-TILoR and A-TILoR models. Simulation studies have found that the proposed methodology works well for finite size samples. • Empirical studies of the proposed models applied to the analysis of schizophrenia genomic data from the WA Genetic Epidemiology Resource (WAGER) have shown that A-TILoR model is very successful in reducing the type I error rate in schizophrenia classification without even using quantitative traits. It outperforms the generalized linear logistic model that is widely used in the literature.

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Yang, Moonhee. "Analysis and optimization of class-based dedicated storage systems." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/21730.

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Ting, Tung-yuen, and 丁東源. "Analysis of genetic polymorphisms in skeletal class I crowding." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47147817.

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Haworth, Jean Margaret. "An investigation of entrepreneurial characteristics using latent class analysis." Thesis, University of Salford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241544.

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Traer, Colin James. "Functional analysis of class II phospho inositide 3-kinases." Thesis, University of Reading, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428311.

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Palma, Federica Di. "Analysis and mapping of bovine MHC class I gene." Thesis, University of Reading, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248145.

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ANTONIO, MARCELO MUSCI ZAIB. "AN IMAGE ANALYSIS METHODOLOGY USING PER CLASS SPECIFIC SEGMENTATIONS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35419@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
A técnica de análise de imagens conhecida pelo acrônimo de GEOBIA (do inglês Geographic Object Based Image Analysis) torna possível a exploração de uma série de novos recursos no processo de classificação de imagens de sensoriamento remoto, em comparação com as alternativas tradicionais baseadas em pixel. Esta possibilidade resulta da introdução de uma etapa de segmentação no processo de análise. Os novos recursos referem-se às propriedades espectrais, texturais, morfológicas e topológicas computadas para os diferentes segmentos de imagem. A abordagem de segmentação habitual encontrada na maioria dos trabalhos de GEOBIA depende de uma hierarquia de segmentações, cada nível de hierarquia associado a um número de classes de objetos caracterizados por tamanhos similares, ou seja, detectáveis em uma determinada escala. A prática usual, porém, não considera segmentações específicas para cada uma das classes de interesse no problema de interpretação, agrupando objetos de mesma escala em um procedimento de segmentação única, ou seja, usando o mesmo algoritmo e parâmetros. A tese investigada neste trabalho baseia-se na suposição de que, se segmentações não são especializadas para cada classe de objeto, então muitos atributos a eles relacionados não podem ser devidamente explorados no processo de classificação. A metodologia proposta baseia-se em uma regra específica para resolver eventuais conflitos espaciais entre as diferentes segmentações. Os resultados experimentais obtidos com base nos experimentos realizados apresentaram um desempenho melhor que o de costume, isto é, produziu melhores resultados de classificação, na maior parte dos problemas de interpretação investigados.
Geographic Object-Based Image Analysis (GEOBIA) makes it possible to exploit a number of new features in the remote sensing image classification process in comparison to the traditional pixel-based alternatives. Such possibility arises from the introduction of a segmentation step in the analysis process. The new features refer to aggregated spectral pixel values, textural, morphological and topological properties computed for the different image segments. The usual segmentation approach found in most GEOBIA works relies on a hierarchy of segmentations, each hierarchy level associated to a number of classes of objects characterized by similar sizes, i.e., which are detectable at a particular scale. The usual practice, therefore, does not consider specific, independent segmentations for each class of interest in the interpretation problem, grouping objects at the same scale through a single segmentation procedure, for instance, using the same algorithm and parameters. The thesis investigated in this work lied on the assumption that if segmentations are not specialized for each object class, then many object features cannot be properly exploited in the classification process. The proposed approach relies on a specific rule to solve eventual spatial conflicts among different segmentations. The experimental results have showed that the proposed approach performed better, i.e., produced better classification results, than the usual one in most of the investigated interpretation problems.

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Davis, Matthew W. (Matthew Warren) 1966. "Functional analysis of a class II aminoacyl-tRNA synthetase." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/26867.

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Kabir, Shahid. "Textural analysis for urban class discrimination using IKONOS imagery." Mémoire, Université de Sherbrooke, 2003. http://savoirs.usherbrooke.ca/handle/11143/2407.

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High spatial resolution imagery can be a very significant source of detailed land cover and land use data necessary for better urban planning and management, which is becoming increasingly important due to the growing human population. However, traditional methods, based on spectral data, used to extract this information from remote sensing imagery have proven to be unsuitable for high-resolution images. Spatial data, or texture, has been widely investigated as a supplement to spectral data for the analysis of complex urban scenes. However, the application of these techniques on high spatial resolution imagery, such as those obtained by the IKONOS satellites, has yet to be studied. This research, therefore, focuses on the extraction of texture features through the use of the Grey Level Co-occurrence Matrix texture analysis technique, which are then combined with the spectral data in the Maximum Likelihood Classification approach, as a method for obtaining more accurate urban land cover and land use information from high spatial resolution IKONOS imagery. In this study, classifications were done using three datasets: a spatial dataset consisting of three texture channels (Mean, Homogeneity and Dissimilarity), a spectral dataset consisting of four spectral channels (Red, Green, Blue and N-IR), and a combination dataset (spatial and spectral). The results show that the spatial dataset produced an overall classification accuracy of 73.5%. The spectral dataset produced a slightly higher overall classification accuracy of 78.9%, an increase over the spatial dataset of 5.4%. The combination dataset produced the highest overall classification accuracy of 86.1%, which is an increase of 7.2% over the spectral dataset. These results demonstrate great potential for the contribution of texture and high-resolution images in deriving more accurate and detailed urban information.

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Reid, Alexander. "Performance modelling and analysis of Olympic class sailing boats." Thesis, University of Newcastle upon Tyne, 2011. http://hdl.handle.net/10443/2302.

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The work in this thesis is preceded by a Master of Research in Marine Technology project between September 2004 and October 2005. The project was supervised by Professor Martin Downie and was carried out with significant time present in the field, working closely with Olympic sailors from multiple different classes. This project was funded by UK Sport and considered a pilot project to investigate the feasibility of using data logging equipment with GPS in the marine Olympic environment. A series of prototype systems were engineered to meet the requirements specified by the Royal Yachting Association. The engineering and validation of the software and hardware formed a key part of the project to ensure that the results obtained were accurate and repeatable. This included software design within two different software platforms as well as embedded hardware developments. Significant testing and development were implemented in the laboratory as well as on the water during the beginning of the project and as a continuous background task throughout the project. Over eighty days were spent in the field developing and testing hardware and software as well as determining the optimum performance analysis methods. Data loggers were fitted to several Olympic class boats during the evaluation process to ascertain the performance of the data logging system as well as the performance of the boat and crew. Data was logged from the onboard GPS and accelerometers and analysed post training. Later in the project, wind information was also collected and fused together with the onboard data post training. The hypothesis was to demonstrate performance gains in the participating classes through the means of quantitative analysis. Prior to the project the performance analysis had been almost entirely qualitative. Through the course of the project various techniques were developed allowing quantitative performance analysis to supplement the efforts of the training group and coach. Key performance factors were determined by data analysis techniques developed during the project. One of the significant tools developed was a tacking performance analysis routine which analysed multiple different styles of tacks, calculating the distance lost with respect to wind strength and course length resulting in an important strategic tool. Other tools relating to starting performance and straight line speed were also developed in custom software allowing rapid analysis of the data to feed back to the teams in the debrief.

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Loignon, Andrew Caleb. "Social class in the organizational sciences| A meta-analysis." Thesis, The University of North Carolina at Charlotte, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10240988.

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Social class has become increasingly popular in the organizational sciences. Recent studies have found that one’s social class influences phenomena ranging from decision-making, to pro-social behavior, and interpersonal interactions. Despite the burgeoning interest in this topic, there remains a great deal of ambiguity concerning the conceptualization and operationalization of social class. For instance, scholars have used income, education, as well as subjective ratings to measures one’s social class. In order to improve the conceptual clarity of social class, I develop and present a model that draws on the dominant theories of social class from both sociology and psychology, while organizing their key principles to explain how social class influences an individual’s thoughts, feelings, and behaviors. By using this model as a framework, this dissertation attempts to refine the conceptualization of social class by testing core research questions pertaining to the construct validity of this construct. Based on a comprehensive, interdisciplinary literature search, which yielded nearly 4,000 effect sizes, I used meta-analytical structural equation modeling to test the proposed research questions and hypotheses. The findings offer clear support for two distinct components of social class (i.e., objective and subjective) that are both highly related to one another and associated with other micro-level constructs (i.e., job attitudes). Given the timeliness and importance of social class, the findings of this conceptual review and empirical meta-analysis offer a means of summarizing this large, interdisciplinary literature while guiding future management research on this critical topic.

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Robertson, Katherine Myrtle. "An analysis of the class action in South Africa." Diss., University of Pretoria, 2015. http://hdl.handle.net/2263/53185.

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Rakoušová, Sandra. "Positioning značky World Class Czech Republic." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-75101.

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My diploma thesis called "Brand positioning World Class Czech Republic" is focused on the analysis of the position of the brand on the Prague market of fitness centers. As the result of this analysis, I conclude my work by the recommendations to improve marketing communication of World Class company. In the theoretical part, I defined the concept of marketing, I have summarized his history, describing the various elements of the marketing mix and SWOT analysis. The next chapter is devoted to market segmentation, targeting and positioning. To conclude the theoretical part, I define the brand, its history, elements and types, I also mentioned the brand value. In the practical part, I assess the fitness field and also market of fitness centers in Prague. In the next chapter, I presented the brand of World Class Czech Republic, including its history, philosophy, representation in Prague and in the world as well and offer of services. Next, I drew on the results of my own research survey. I described a SWOT analysis and competitive analysis. Based on the responses I have analyzed the target group for the World Class brand. Subsequently, I analyzed the current marketing communication of the company, and I propose appropriate amendments that would increase its effectiveness. In the epilogue, I noted the main recommendations for brand communication.

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Zandler, Andersson Nils. "Boundedness of a Class of Hilbert Operators on Modulation Spaces." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-84932.

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In this work we take interest in frames and modulation spaces. On the basis of their properties, we show how frame expansions can be used to prove the boundedness of a particular class of Hilbert operators on modulation spaces taking advantage of the special category of piece-wise polynomial functions known as B-splines.

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Lynch, James Charles. "A flexible class of models for regression modelling of multivariate failure time data /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/9561.

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McNamee, Meagan. "Analysis on a class of carnot groups of heisenberg type." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001221.

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Goward, Shonda L. "Social Class and Sense of Belonging| A Quantitative, Intersectional Analysis." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10742884.

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The purpose of this study is to understand how social class background plays a role in student experiences on selective campuses. This study centers the experience of low-income students and extends the work of Ostrove and Long (2007). Previous research has indicated that race, gender, and social class status have each, respectively, been demonstrated to have statistically significant relationships to sense of belonging. This research affirms existing research, but also finds that there are more positive relationships than previously theorized. Minoritized students had higher mean scores related to personal-emotional adjustment and social adjustment. Students from the lowest social class also reported higher scores on the same two adjustment scales than their peers.

Based in the theory of critical quantitative analysis (Stage, 2007), the research uses the Student Adaptation to College Questionnaire (Baker & Siryk, 1999) in order to assess sense of belonging. This survey measures overall sense of belonging, academic adjustment, social adjustment personal-emotional adjustment and institutional attachment. Examining these measures in an intersectional way revealed results that were more nuanced than was previously found in the literature. The data was analyzed using simple linear regression, analysis of variance, and hierarchical multiple regression. The survey was conducted among undergraduate students at The George Washington University, a private, urban institution in Washington, D.C.

In demonstrating that minoritized and economically and educationally challenged students may be adjusting better than has been previously stated, this study emphasizes the need to affirm students in the identities they hold for themselves rather than studying them through deficit models. Reinforcing the cultural and social norms of marginalized groups aids in their personal growth and development, which often leads to a university’s desired outcome, which is retention and graduation.

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Harwell, Janet. "Long-haul premium class air traveller behaviour : a qualitative analysis." Thesis, Oxford Brookes University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432750.

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Harris, Christian. "Securities class actions : an Australian and United States comparative analysis." Thesis, Queen Mary, University of London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538656.

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Yang, Ying-Xu. "Identification and analysis of a class of spatio-temporal systems." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322869.

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Archibald, Stephen David. "Analysis and mapping of the bovine MHC class I region." Thesis, University of Reading, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405476.

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Turner, A. Keith. "Analysis of class II bacterial transposable elements TN2501 and TN3926." Thesis, University of Bristol, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330037.

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Alyahya, Khulood. "Fitness landscape analysis of a class of NP-hard problems." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7271/.

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A number of fitness landscape properties of randomly generated instances of a class of NP-hard combinatorial optimisation problems are empirically studied in this research. We believe that the studied properties give insight into the structure of the problem landscape and can be representative of the problem difficulty, in particular with respect to local search algorithms. The properties include: types of search position, number of local and global optima and plateaux, quality of optima and plateaux, basin size and its correlation with fitness, time to local optima, cost of finding the global solution, and the quality of optima obtained with a fixed budget search. Our work focuses on studying how these properties vary with different values of problem parameters. We also compare these properties across different landscapes that were induced by different neighbourhood operators or different penalty functions of the following problems: the number partitioning problem, the binary knapsack problem, and the quadratic binary knapsack problem. Unlike existing studies of these problems, we study instances generated at random from various distributions. We found a general trend where in all the three problems, some of their landscape features were found to vary between the different distributions. We captured this variation by a single, easy to calculate, parameter and we showed that it has a potentially useful application in guiding the choice of the neighbourhood operator of local search heuristics.

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Anderson, Travis J. (Travis John). "Operational profiling and statistical analysis of Arleigh Burke-class destroyers." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81582.

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Thesis (Nav. E. and S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.
"June 2013." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 60-62).
Ship operational profiles are a valuable tool for ship designers and engineers when analyzing potential designs and ship system selections. The most common is the speed-time profile, normally depicted as a histogram showing the percent of time spent at each speed. Many shortcomings exist in the current Arleigh Burke (DDG 51)-class operational profiles. The current speed-time profile is out of date, based on another ship class, and does not depict the profile in one-knot increments. Additional profile data, such as how the engineering plant is operated and a mission profile, do not exist. A thorough analysis of recent DDG 51 operations was conducted and new and improved profiles were developed. These profiles indicate the ships tend to operate at slower speeds than was previously predicted with 46% of the time spent at 8 knots and below as compared to the previous profile with 28% for the same speeds. Additionally, profiles were developed to show the amount of time spent in each engineering plant line-up (69% trail shaft, 24% split plant, 7% full power) and the time spent in different mission types (69% operations, 27% transit, 4% restricted maneuvering doctrine). A detailed statistical analysis was then conducted to better understand the data used in profile development and to create a region of likely speed-time profiles rather than just a point solution that is presented in the composite speed-time profile. This was accomplished through studying the underlying distributions of the data as well as the variance.
by Travis J. Anderson.
Nav.E.and S.M.

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Nguyen, Nguyen Hoang. "Analysis of terabit/second-class inter-chip parallel optoelectronic transceiver." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62679.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2010.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 89-92).
Electrical copper-based interconnect has been suffering from fundamental physical loss mechanism and its current infrastructure will not be able to meet the increasing demand for data rates due to reaching the limit of the transmission bandwidth-distance product. Optical interconnect has been known as the candidate for taking over the obsolete electrical counterpart owing to the capability of transmitting data at high rates with low loss and the feasibility for parallel integration. Optoelectronic transceiver is one of the essential elements in optical interconnect system. This thesis scrutinizes a complete set of constituent technologies developed for a novel inter-chip parallel optoelectronic (OE) transceiver (known as Terabus transceiver) which is able to communicate data at the speed in the range of Terabit/second. A novel packaging hierarchy and a creative design for an optical coupling mechanism devised to bring high-level integration and high-speed performance to a final package have been analyzed: Two 4x12 arrays (each < 9 mm2) of CMOS transmitter and receiver ICs have been flip-chip bonded to a silicon carrier interposer of 1.2-cm2 size. Other two 4x12 arrays of OE devices (VCSELs and photodiodes) with comparable size are then flip-chip bonded to the corresponding CMOS arrays attached to the silicon carrier, forming the Optochip assembly. The Optochip is in interface with an Optocard by the flip-chip bonding process between the silicon carrier and an organic card patterned with 48 integrated waveguides at density of 16-channel/mm and total length of 30 cm. The 985-nm operating wavelength of the lasers allows a simple optical design with emission and illumination through arrays of relay lenses directly etched into the backside of the OE Ill-V substrate. A novel design of 45*-tilted and Au-coated mirrors fabricated in 125-ptmpitch acrylate waveguides is to perpendicularly couple the light in and out of the core of these Optocard waveguides. Per-channel performance of up to 20 Gb/s for transmitter and of up to 14 Gb/s for receiver have been realized. Lastly, the thesis has analyzed the market opportunity of the transceiver by reviewing the market situation, identifying contemporary competing technologies, assessing the market prospect and predicting the cost.
by Nguyen Hoang Nguyen.
M.Eng.

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41

Alvi, Shahid Carleton University Dissertation Sociology and Anthropology. "Professional power and proletarianization? A class analysis of Canadian physicians." Ottawa, 1994.

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Naranjo, Mayorga Omar Antonio. "Analysis of Differential Equations Applications from the Coordination Class Perspective." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6502.

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In recent years there has been an increasing interest in mathematics teaching and learning at undergraduate level. However, many fields are little explored; differential equations being one of these topics. In this study I use the theoretical framework of Coordination Classes to analyze how undergraduate mechanical engineering students apply their knowledge in the context of system dynamics and what resources and strategies they used; in this subject, students model dynamics systems based on Ordinary Differential Equations (ODEs). I applied three tasks in different contexts (Mechanical, Electrical and Fluid Systems) in order to identify what information was relevant for the students, readout strategies; what inferences students made with the relevant information, causal nets; and what strategies students used to apply their knowledge in those contexts, concept projections. I found that the core problem at projecting their knowledge relied on the causal nets, coinciding with diSessa and Wagner's conjecture (2005). I also identified and characterized three strategies or concept projections students used in solving the tasks: Diagram-based approach, Component-based approach and Equation-based approach.

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Andersson, Therese. "The Importance of Class and Money - A Marxist Analysis of Jane Austen's Persuasion." Thesis, Halmstad University, School of Humanities (HUM), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2514.

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This essay analyzes how issues related to money and social class are presented in Jane Austen’s Persuasion. The method used will be a close reading as well as aspects of Marxist literary criticism, a theory that will be presented in the second chapter. Background information about the author and her time will then be given in the third chapter. In chapter four, the character of Sir Walter Elliot will be analyzed, in chapter five Elizabeth Elliot, and in chapter six William Elliot. Some of the other characters will be analyzed, more briefly, in the seventh chapter. Conclusions will then be drawn in the eighth and final chapter.

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Talbot, Carl. "The myths of environmentalism : nature, discipline and the class struggle." Thesis, Cardiff University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363250.

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Dave, Amit. "A comparison of student performance in an online class versus a face-to-face (Traditional) class: A meta-analysis." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2010. http://digitalcommons.auctr.edu/dissertations/172.

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The purpose of this study was to compare student performance in an online college algebra class and a traditional face-to-face (traditional) class so as to determine whether online instruction was more effective than face-to-face (traditional) instruction. The results were expected to provide instructors, administrators, policy makers, and software program writers a better understanding of instructional techniques that can be incorporated along with technology, thus improving student learning and subsequently improving student performance in the class. The results may be important because of claims made by supporters of technology-based education. The independent variables in the studies were instructional techniques, student perception of online class, experience with web-based/online technology, and demographic variables (age, gender, employment status, and ethnicity). The dependent variable was student performance in a college algebra class. The study was conducted at a technical college in Atlanta, Georgia. A web-based software program, EDUCOSOFT, was used in the treatment. A pretest was administered to the students enrolled in face-to-face (traditional) class at the beginning of the quarter which determined the weak areas of the student. A study plan was developed on EDUCOSOFT which covered the week areas. Students were required to score a minimum of 70% in the study plan before they were allowed to proceed further. Students were given traditional and online tests and their scores were compared. A posttest and final exam were administered at the end of the term. A survey questionnaire was distributed at the end to the students. Data collected from the tests and questionnaire was used to generate the statistics. The results of the study indicated that gain scores were significantly related to computerized tests and quizzes. Students who made low gain scores viewed the EDUCOSOFT program high and traditional tests and quizzes influenced the final grades significantly. White Caucasian and Middle Eastern students gained more than African American and Hispanic students. Results from regression analysis indicated that the EDUCOSOFT program was not effective in helping younger students to learn algebra as compared with older students.

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Frühwirth-Schnatter, Sylvia, Thomas Otter, and Regina Tüchler. "Fully Bayesian Analysis of Multivariate Latent Class Models with an Application to Metric Conjoint Analysis." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/378/1/document.pdf.

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In this paper we head for a fully Bayesian analysis of the latent class model with a priori unknown number of classes. Estimation is carried out by means of Markov Chain Monte Carlo (MCMC) methods. We deal explicitely with the consequences the unidentifiability of this type of model has on MCMC estimation. Joint Bayesian estimation of all latent variables, model parameters, and parameters determining the probability law of the latent process is carried out by a new MCMC method called permutation sampling. In a first run we use the random permutation sampler to sample from the unconstrained posterior. We will demonstrate that a lot of important information, such as e.g. estimates of the subject-specific regression coefficients, is available from such an unidentified model. The MCMC output of the random permutation sampler is explored in order to find suitable identifiability constraints. In a second run we use the permutation sampler to sample from the constrained posterior by imposing identifiablity constraints. The unknown number of classes is determined by formal Bayesian model comparison through exact model likelihoods. We apply a new method of computing model likelihoods for latent class models which is based on the method of bridge sampling. The approach is applied to simulated data and to data from a metric conjoint analysis in the Austrian mineral water market. (author's abstract)
Series: Forschungsberichte / Institut für Statistik

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Mu, He Qing. "Bayesian model class selection on regression problems." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2492988.

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Harper, John-Paul. "The class number one problem in function fields." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53619.

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Thesis (MComm)--Stellenbosch University, 2003.
ENGLISH ABSTRACT: In this dissertation I investigate the class number one problem in function fields. More precisely I give a survey of the current state of research into extensions of a rational function field over a finite field with principal ring of integers. I focus particularly on the quadratic case and throughout draw analogies and motivations from the classical number field situation. It was the "Prince of Mathematicians" C.F. Gauss who first undertook an in depth study of quadratic extensions of the rational numbers and the corresponding rings of integers. More recently however work has been done in the situation of function fields in which the arithmetic is very similar. I begin with an introduction into the arithmetic in function fields over a finite field and prove the analogies of many of the classical results. I then proceed to demonstrate how the algebra and arithmetic in function fields can be interpreted geometrically in terms of curves and introduce the associated geometric language. After presenting some conjectures, I proceed to give a survey of known results in the situation of quadratic function fields. I present also a few results of my own in this section. Lastly I state some recent results regarding arbitrary extensions of a rational function field with principal ring of integers and give some heuristic results regarding class groups in function fields.
AFRIKAANSE OPSOMMING: In hierdie tesis ondersoek ek die klasgetal een probleem in funksieliggame. Meer spesifiek ondersoek ek die huidige staat van navorsing aangaande uitbreidings van 'n rasionale funksieliggaam oor 'n eindige liggaam sodat die ring van heelgetalle 'n hoofidealgebied is. Ek kyk in besonder na die kwadratiese geval, en deurgaans verwys ek na die analoog in die klassieke getalleliggaam situasie. Dit was die beroemde wiskundige C.F. Gauss wat eerste kwadratiese uitbreidings van die rasionale getalle en die ooreenstemende ring van heelgetalle in diepte ondersoek het. Onlangs het wiskundiges hierdie probleme ook ondersoek in die situasie van funksieliggame oor 'n eindige liggaam waar die algebraïese struktuur baie soortgelyk is. Ek begin met 'n inleiding tot die rekenkunde in funksieliggame oor 'n eindige liggaam en bewys die analogie van baie van die klassieke resultate. Dan verduidelik ek hoe die algebra in funksieliggame geometries beskou kan word in terme van kurwes en gee 'n kort inleiding tot die geometriese taal. Nadat ek 'n paar vermoedes bespreek, gee ek 'n oorsig van wat alreeds vir quadratiese funksieliggame bewys is. In hierdie afdeling word 'n paar resultate van my eie ook bewys. Dan vermeld ek 'n paar resultate aangaande algemene uitbreidings van 'n rasionale funksieliggaam oor 'n eindige liggaam waar die van ring heelgetalle 'n hoofidealgebied is. Laastens verwys ek na 'n paar heurisitiese resultate aangaande klasgroepe in funksieliggame.

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Chen, Hui-Min, and 陳慧敏. "Latent Class Logistic Regression Analysis." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/95795967284991124289.

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碩士
中原大學
數學研究所
89
Abstract Mixtures of distributions are used to analyze the grouped categorical data. The estimation of parameters is an important step for mixture distributions. According to Yang and Yu (1999), they described maximum likelihood estimation (MLE) algorithm, expection maximization (EM) algorithm, classification maximum likelihood (CML) algorithm and fuzzy classification maximum likelihood (FCML) algorithm to estimate the parameters of a mixture of multivariate Bernoulli distributions. In this paper, we will extend EM, CML and FCML algorithms to regression analysis to describe the effects of the explanatory variables on the response variable. This paper focus on binary responses about the logistic regression analysis with a latent class model. We then use the extend algorithms to estimate the parameters of the latent class logistic regression model. The numerical comparisons are also made. Finally, we give numerical results for these algorithms.

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Zheng, Shu Kai, and 鄭書凱. "Latent class marginal model analysis." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/20437971689380590326.

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Dissertations / Theses on the topic 'Class analysis'

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