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Relevant bibliographies by topics / Numerical data analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Numerical data analysis'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Chen, Chuan. "Numerical algorithms for data processing and analysis." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/277.

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Magnetic nanoparticles (NPs) with sizes ranging from 2 to 20 nm in diameter represent an important class of artificial nanostructured materials, since the NP size is comparable to the size of a magnetic domain. They have potential applications in data storage, catalysis, permanent magnetic nanocomposites, and biomedicine. To begin with, a brief overview on the background of Fe-based bimetallic NPs and their applications for data-storage and catalysis was presented in Chapter 1. In Chapter 2, L10-ordered FePt NPs with high coercivity were directly prepared from a novel bimetallic acetylenic alt

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2

Young, Christopher J. "Development of Numerical Estimation: Data and Models." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1316454592.

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3

Koc, Birgul. "Numerical Analysis for Data-Driven Reduced Order Model Closures." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103202.

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This dissertation contains work that addresses both theoretical and numerical aspects of reduced order models (ROMs). In an under-resolved regime, the classical Galerkin reduced order model (G-ROM) fails to yield accurate approximations. Thus, we propose a new ROM, the data-driven variational multiscale ROM (DD-VMS-ROM) built by adding a closure term to the G-ROM, aiming to increase the numerical accuracy of the ROM approximation without decreasing the computational efficiency. The closure term is constructed based on the variational multiscale framework. To model the closure term, we use d

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4

Jia, Hong. "Clustering of categorical and numerical data without knowing cluster number." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1495.

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5

Fairbanks, James Paul. "Graph analysis combining numerical, statistical, and streaming techniques." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54972.

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Graph analysis uses graph data collected on a physical, biological, or social phenomena to shed light on the underlying dynamics and behavior of the agents in that system. Many fields contribute to this topic including graph theory, algorithms, statistics, machine learning, and linear algebra. This dissertation advances a novel framework for dynamic graph analysis that combines numerical, statistical, and streaming algorithms to provide deep understanding into evolving networks. For example, one can be interested in the changing influence structure over time. These disparate techniques each co

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6

Linnard, David Simon. "Long range seasonal weather prediction : data analysis and numerical experiments." Thesis, University of Exeter, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.237875.

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7

Duong, Viêt Dung. "Development of numerical approaches for nuclear magnetic resonance data analysis." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEN010/document.

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La résonance magnétique nucléaire (RMN) est devenue une des techniques spectroscopiques les plus puissantes et polyvalentes de la chimie analytique avec des applications multiples dans des différents domaines de la recherche. Cependant, un des inconvénients majeurs de la RMN est le processus fastidieux d'analyse de donnée qui nécessite fréquemment des interventions humaines. Ces dernières font diminuer non seulement l'efficacité et l'objectivité des études mais également renferment les champs d'applications potentielles de la RMN pour les non-initiés. Par conséquent, le développement des métho

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8

Siu, Ka Wai. "Numerical algorithms for data analysis with imaging and financial applications." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/550.

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In this thesis, we study modellings and numerical algorithms to data analysis with applications to image processing and financial forecast. The thesis is composed of two parts, namely the tensor regression and data assimilation methods for image restoration.;We start with investigating the tensor regression problem in Chapter 2. It is a generalization of a classical regression in order to adopt and analyze much more information by using multi-dimensional arrays. Since the regression problem is subject to multiple solutions, we propose a regularized tensor regression model to the problem. By im

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9

Howe, Bill. "Gridfields: Model-Driven Data Transformation in the Physical Sciences." PDXScholar, 2006. https://pdxscholar.library.pdx.edu/open_access_etds/2676.

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Scientists' ability to generate and store simulation results is outpacing their ability to analyze them via ad hoc programs. We observe that these programs exhibit an algebraic structure that can be used to facilitate reasoning and improve performance. In this dissertation, we present a formal data model that exposes this algebraic structure, then implement the model, evaluate it, and use it to express, optimize, and reason about data transformations in a variety of scientific domains. Simulation results are defined over a logical grid structure that allows a continuous domain to be represente

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10

Noble, Christopher Aaron. "Analytical and Numerical Techniques for the Optimal Design of Mineral Separation Circuits." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23224.

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The design of mineral processing circuits is a complex, open-ended process. While several tools and methodologies are available, extensive data collection accompanied with trial-and-error simulation are often the predominant technical measures utilized throughout the process. Unfortunately, this approach often produces sub-optimal solutions, while squandering time and financial resources. This work proposes several new and refined methodologies intended to assist during all stages of circuit design. First, an algorithm has been developed to automatically determine circuit analytical soluti

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11

Okafor, Anthony. "Entropy based techniques with applications in data mining." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013113.

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12

Choy, Wing Yiu. "Using numerical methods and artificial intelligence in NMR data processing and analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0024/NQ50131.pdf.

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13

Choy, Wing Yiu 1969. "Using numerical methods and artificial intelligence in NMR data processing and analysis." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=35864.

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In this thesis, we applied both numerical methods and artificial intelligence techniques to NMR data processing and analysis. First, a comprehensive study of the Iterative Quadratic Maximum Likelihood (IQML) method applied to NMR spectral parameter estimation is reported. The IQML is compared to other conventional time domain data analysis methods. Extensive simulations demonstrate the superior performance of the IQML method. We also develop a new technique, which uses genetic algorithm with a priori knowledge, to improve the quantification of NMR spectral parameters. The new proposed method o

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14

Suarez, Alvarez Maria Del Mar. "Design and analysis of clustering algorithms for numerical, categorical and mixed data." Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/54131/.

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In recent times, several machine learning techniques have been applied successfully to discover useful knowledge from data. Cluster analysis that aims at finding similar subgroups from a large heterogeneous collection of records, is one o f the most useful and popular of the available techniques o f data mining. The purpose of this research is to design and analyse clustering algorithms for numerical, categorical and mixed data sets. Most clustering algorithms are limited to either numerical or categorical attributes. Datasets with mixed types o f attributes are common in real life and so to d

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15

Boujelben, Ahmed Hamdi. "A new pore-scale numerical simulator for investigating special core analysis data." Thesis, Heriot-Watt University, 2017. http://hdl.handle.net/10399/3283.

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The study presented in this thesis addresses various pore-scale phenomena related to the oil industry by implementing new numerical models capable of simulating a wide range of multiphase flow processes such as depressurisation, water flooding, gas injection and various EOR techniques. The aim is not to produce quantitative predictions per se but rather to examine the effect of key petrophysical parameters on oil recovery when different production protocols are applied to specific rock analogues. In order to facilitate this, a new pore-scale process simulator is developed – numSCAL (numerical

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16

Camera, C. A. S. "STABILITY ASSESSMENT OF TERRACED SLOPES: FIELD DATA AND NUMERICAL MODELLING." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/169983.

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This work is finalized to the assessment of the stability of terraced slopes. The study therefore includes the understanding of the failure mechanisms of these particular slopes and the quantification of the influence of hydrogeological and mechanical parameters of dry stone walls and backfill soils both at a large and at a detailed scale. The study was performed in Valtellina. In particular, the slope chosen as study area is the one uphill of the small village of Tresenda, that in 1983 and 2002 was affected by soil slip/debris flow events that caused victims (only in 1983) and severe damages

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17

Koo, Donald. "A product data-driven methodology for automating variable topology multi-body finite element analysis." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/16376.

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18

Eklöf, Jan A. "Varying data quality and effects in economic analysis and planning." Doctoral thesis, Handelshögskolan i Stockholm, Ekonomisk Statistik (ES), 1992. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-903.

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Economic statistics are often taken as given facts, assumed to describe exactly, actual phenomena in society. Many economic series are published in various forms from preliminary, via revisions to definitive estimates. Preliminary series are issued for a number of central economic processes in order to allow for rapid, up-to-date signals. This dissertation focuses on qualitative aspects of available data, and effects of possible inaccuracy when data are used for economic modelling, analysis and planning. Four main questions are addressed: How to characterize quality of data for central economi

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19

Bray, Michaela Therese Julia. "Rainfall analysis based on rain gauge and weather radar data and numerical weather modelling." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500432.

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20

Sharma, Sanjib. "Numerical Simulations of Galaxy Formation: Angular Momentum Distribution and Phase Space Structure of Galactic Halos." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1413%5F1%5Fm.pdf&type=application/pdf.

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21

Maor, Amit. "Using a Data Warehouse as Part of a General Business Process Data Analysis System." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1383.

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Data analytics queries often involve aggregating over massive amounts of data, in order to detect trends in the data, make predictions about future data, and make business decisions as a result. As such, it is important that a database management system (DBMS) handling data analytics queries perform well when those queries involve massive amounts of data. A data warehouse is a DBMS which is designed specifically to handle data analytics queries. This thesis describes the data warehouse Amazon Redshift, and how it was used to design a data analysis system for Laserfiche. Laserfiche is a softwar

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22

Jones, Jonathan A. "Nuclear magnetic resonance data processing methods." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:7df97c9a-4e65-4c10-83eb-dfaccfdccefe.

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This thesis describes the application of a wide variety of data processing methods, in particular the Maximum Entropy Method (MEM), to data from Nuclear Magnetic Resonance (NMR) experiments. Chapter 1 provides a brief introduction to NMR and to data processing, which is developed in chapter 2. NMR is described in terms of the classical model due to Bloch, and the principles of conventional (Fourier transform) data processing developed. This is followed by a description of less conventional techniques. The MEM is derived on several grounds, and related to both Bayesian reasoning and Shannon inf

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23

Sotskova, Nadežda. "Optimal scheduling with uncertainty in the numerical data on the basis of a stability analysis." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=96312563X.

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24

Ohme, Frank. "Bridging the gap between post-Newtonian theory and numerical relativity in gravitational-wave data analysis." Phd thesis, Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2012/6034/.

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One of the most exciting predictions of Einstein's theory of gravitation that have not yet been proven experimentally by a direct detection are gravitational waves. These are tiny distortions of the spacetime itself, and a world-wide effort to directly measure them for the first time with a network of large-scale laser interferometers is currently ongoing and expected to provide positive results within this decade. One potential source of measurable gravitational waves is the inspiral and merger of two compact objects, such as binary black holes. Successfully finding their signature in the noi

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25

Mercer, Robert Andrew. "The quantitative analysis of integrated seismic and numerical modelling data at Creighton Mine, Sudbury, Ontario." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/NQ42961.pdf.

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26

Eggeling, Eva [Verfasser]. "Meteorological Data Assimilation – Local Analysis and Efficient Numerical Techniques for Constrained Differential Optimization / Eva Eggeling." Aachen : Shaker, 2004. http://d-nb.info/1170543049/34.

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27

Dannenberg, Matthew. "Pattern Recognition in High-Dimensional Data." Scholarship @ Claremont, 2016. https://scholarship.claremont.edu/hmc_theses/76.

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Vast amounts of data are produced all the time. Yet this data does not easily equate to useful information: extracting information from large amounts of high dimensional data is nontrivial. People are simply drowning in data. A recent and growing source of high-dimensional data is hyperspectral imaging. Hyperspectral images allow for massive amounts of spectral information to be contained in a single image. In this thesis, a robust supervised machine learning algorithm is developed to efficiently perform binary object classification on hyperspectral image data by making use of the geometry of

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28

Mendoza-Smith, Rodrigo. "Numerical algorithms for the mathematics of information." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:451a418b-eca0-454f-8b54-7b6476056969.

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This thesis presents a series of algorithmic innovations in Combinatorial Compressed Sensing and Persistent Homology. The unifying strategy across these contributions is in translating structural patterns in the underlying data into specific algorithmic designs in order to achieve: better guarantees in computational complexity, the ability to operate on more complex data, highly efficient parallelisations, or any combination of these.

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29

Kirsch, Matthew Robert. "Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1278606480.

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30

Du, Duc Thang. "A lavrentiev-finite element model for the cauchy problem of data completion : analysis and numerical assessment." Compiègne, 2011. http://www.theses.fr/2011COMP1926.

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L’analyse et la simulation numérique du problème de complétion de données, connue sous la dénomination de problème de Cauchy est le sujet de cette thèse. La méthodologie consiste d’abord à évaluer certaines des méthodes de régularisation parmi les plus populaires, telles que la méthode itérative de Richardson et la méthode de Lavrentiev, dans le cadre de la formulation variationnelle de type condensation sur le bord incomplète. Une discrétisation du problème de Steklov-Poincaré, par les éléments finis est proposée. Le problème discret est ensuite mis sous forme matricielle, qui est sévèrement

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31

Hjerpe, Adam. "Computing Random Forests Variable Importance Measures (VIM) on Mixed Numerical and Categorical Data." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185496.

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The Random Forest model is commonly used as a predictor function and the model have been proven useful in a variety of applications. Their popularity stems from the combination of providing high prediction accuracy, their ability to model high dimensional complex data, and their applicability under predictor correlations. This report investigates the random forest variable importance measure (VIM) as a means to find a ranking of important variables. The robustness of the VIM under imputation of categorical noise, and the capability to differentiate informative predictors from non-informative v

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Wilson, Monica. "Synoptic to interannual variability in volumetric flushing in Tampa Bay, FL using observational data and a numerical model." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4963.

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This research provides insight into changes in volumetric flushing of the Tampa Bay estuary caused by synoptic scale wind events. The two main studies of this dissertation involve 1) using wavelet analysis to investigate the link between the El Niño-Southern Oscillation (ENSO) and the frequency and strength of volumetric flushing driven by synoptic variability and 2) using a multi-decadal model simulation to examine how extratropical/winter storms and hurricanes affect the overall flushing rates for Tampa Bay, FL. In the first study, two analyses are performed on 55 years of observational dat

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Belfodil, Adnene. "Exceptional model mining for behavioral data analysis." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI086.

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Avec la prolifération rapide des plateformes de données qui récoltent des données relatives à plusieurs domaines tels que les données de gouvernements, d’éducation, d’environnement ou les données de notations de produits, plus de données sont disponibles en ligne. Ceci représente une opportunité sans égal pour étudier le comportement des individus et les interactions entre eux. Sur le plan politique, le fait de pouvoir interroger des ensembles de données de votes peut fournir des informations intéressantes pour les journalistes et les analystes politiques. En particulier, ce type de données pe

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34

Dorica, Mark. "Novel electromagnetic design system enhancements using computational intelligence strategies." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102972.

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This thesis presents a wide spectrum of novel extensions and enhancements to critical components of modern electromagnetic analysis and design systems. These advancements are achieved through the use of computational intelligence, which comprises neural networks, evolutionary algorithms, and fuzzy systems. These tools have been proven in myriad industrial applications ranging from computer network optimization to heavy machinery control.<br>The analysis module of an electromagnetic analysis and design system typically comprises mesh generation and mesh improvement stages. A novel method for di

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35

Jain, Sachin. "Multiresolution strategies for the numerical solution of optimal control problems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22656.

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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Tsiotras, Panagiotis; Committee Member: Calise, Anthony J.; Committee Member: Egerstedt, Magnus; Committee Member: Prasad, J. V. R.; Committee Member: Russell, Ryan P.; Committee Member: Zhou, Hao-Min.

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36

Jezghani, Aaron P. "A DETECTION AND DATA ACQUISITION SYSTEM FOR PRECISION BETA DECAY SPECTROSCOPY." UKnowledge, 2019. https://uknowledge.uky.edu/physastron_etds/62.

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Free neutron and nuclear beta decay spectroscopy serves as a robust laboratory for investigations of the Standard Model of Particle Physics. Observables such as decay product angular correlations and energy spectra overconstrain the Standard Model and serve as a sensitive probe for Beyond the Standard Model physics. Improved measurement of these quantities is necessary to complement the TeV scale physics being conducted at the Large Hadron Collider. The UCNB, 45Ca, and Nab experiments aim to improve upon existing measurements of free neutron decay angular correlations and set new limits in the

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Macedo, Eloísa Catarina Monteiro de Figueiredo Amaral e. "Numerical study of regularity in semidefinite programming and applications." Doctoral thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16278.

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Doutoramento em Matemática<br>This thesis is devoted to the study of regularity in semidefinite programming (SDP), an important area of convex optimization with a wide range of applications. The duality theory, optimality conditions and methods for SDP rely on certain assumptions of regularity that are not always satisfied. Absence of regularity, i.e., nonregularity, may affect the characterization of optimality of solutions and SDP solvers may run into numerical difficulties, leading to unreliable results. There exist different notions associated to regularity. In this thesis, we stud

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Omer, J. R. "Numerical analysis of pile test data from instrumented large diameter bored piles formed in Keuper marl (Mercia mudstone)." Thesis, University of South Wales, 1998. http://eprints.kingston.ac.uk/17499/.

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Costa, da Silva Alex. "An analysis of the water properties in the western tropical Atlantic using observed data and numerical model results." Universidade Federal de Pernambuco, 2006. https://repositorio.ufpe.br/handle/123456789/8558.

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Made available in DSpace on 2014-06-12T23:01:11Z (GMT). No. of bitstreams: 2 arquivo8136_1.pdf: 7558268 bytes, checksum: 9572385ac570b1234237af69b419eb68 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2006<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Este trabalho apresenta uma análise de dados hidrográficos coletados em quatro campanhas oceanográficas do programa REVIZEE/SCORE-N. Estas campanhas foram realizadas durante os períodos de Março-Maio de 1995, Outubro-Novembro de 1997, Maio-Junho de 1999, e Julho-Agosto

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Bayati, Léa. "Data centers energy optimization." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC0063.

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Pour garantir à la fois une bonne performance des services offerts par des centres de données, et une consommation énergétique raisonnable, une analyse détaillée du comportement de ces systèmes est essentielle pour la conception d'algorithmes d'optimisation efficaces permettant de réduire la consommation énergétique. Cette thèse, s'inscrit dans ce contexte, et notre travail principal consiste à concevoir des systèmes de gestion dynamique de l'énergie basés sur des modèles stochastiques de files d'attente contrôlées. Le but est de rechercher les politiques de contrôle optimales afin de les appl

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Soundararajan, Sujitha. "Seismic Energy Dissipation, Self-Centering, and Settlement of Rocking Foundations: Analysis of Experimental Data with Comparisons to Numerical Modeling." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31711.

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The major objective of this study is to correlate the rocking foundation performance parameters with their capacity parameters and earthquake demand parameters using the results obtained from 142 centrifuge and shaking table experiments. It is found that seismic energy dissipation and permanent settlement of rocking foundations correlate well with rocking coefficient and Arias intensity of the earthquake, whereas the maximum moment and peak rotation of the foundation correlate well with peak ground acceleration. A numerical model, using the contact interface model available in OpenSees, is dev

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Ngaye, Zonke. "User experience metrics for Dr Math." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1012036.

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The purpose of this research study is to propose guidelines for providing a positive user experience for pupils using Dr Math®. User experience was found to have a positive impact on the acceptance and adoption of a product. Thus the proposed guidelines contribute in maximizing the adoption and acceptance of Dr Math® among pupils. This study begins with an introductory chapter that describes the problem that forms the basis for this research. The chapter defines the objectives that this study is intended to achieve in order to accomplish its ultimate goal. The methodology followed to conduct t

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Lundberg, Johan. "On the Search for High-Energy Neutrinos : Analysis of data from AMANDA-II." Doctoral thesis, Uppsala University, Department of Physics and Astronomy, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8906.

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<p>A search for a diffuse flux of cosmic neutrinos with energies in excess of 10<sup>14</sup> eV was performed using two years of AMANDA-II data, collected in 2003 and 2004. A 20% evenly distributed sub-sample of experimental data was used to verify the detector description and the analysis cuts. A very good agreement between this 20% sample and the background simulations was observed. The analysis was optimised for discovery, to a relatively low price in limit setting power. The background estimate for the livetime of the examined 80% sample is 0.035 ± 68% events with an additional 41% system

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Schneider, Michael J. "A Study on the Efficacy of Sentiment Analysis in Author Attribution." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2538.

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The field of authorship attribution seeks to characterize an author’s writing style well enough to determine whether he or she has written a text of interest. One subfield of authorship attribution, stylometry, seeks to find the necessary literary attributes to quantify an author’s writing style. The research presented here sought to determine the efficacy of sentiment analysis as a new stylometric feature, by comparing its performance in attributing authorship against the performance of traditional stylometric features. Experimentation, with a corpus of sci-fi texts, found sentiment analysis

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Katragadda, Mohit. "Development of flame surface density closure for turbulent premixed flames based on a priori analysis of direct numerical simulation data." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2195.

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In turbulent premixed ﬂames the modelling of mean or ﬁltered reac tion rate translates to the closure of ﬂame surface to volume ratio, which is commonly referred to as the Flame Surface Density(FSD). The FSD based reaction rate closure is well established in the context of Reynolds Averaged Navier-Stokes (RANS) simulations for unity Lewis numbers. However, models for FSD in context of Large Eddy Simulations (LES) are relatively rare. In this study three-dimensional Direct Numerical Simulations (DNS) of freely propagating statistically planar premixed ﬂames encompassing a range of diﬀerent turb

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Jiang, Yexi. "Temporal Mining for Distributed Systems." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/1909.

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Many systems and applications are continuously producing events. These events are used to record the status of the system and trace the behaviors of the systems. By examining these events, system administrators can check the potential problems of these systems. If the temporal dynamics of the systems are further investigated, the underlying patterns can be discovered. The uncovered knowledge can be leveraged to predict the future system behaviors or to mitigate the potential risks of the systems. Moreover, the system administrators can utilize the temporal patterns to set up event management r

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Polcer, James. "Generalized Bathtub Hazard Models for Binary-Transformed Climate Data." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1060.

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In this study, we use a hazard-based modeling as an alternative statistical framework to time series methods as applied to climate data. Data collected from the Kentucky Mesonet will be used to study the distributional properties of the duration of high and low-energy wind events relative to an arbitrary threshold. Our objectiveswere to fit bathtub models proposed in literature, propose a generalized bathtub model, apply these models to Kentucky Mesonet data, and make recommendations as to feasibility of wind power generation. Using two different thresholds (1.8 and 10 mph respectively), resul

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Chakraborty, Soham. "DATA ASSIMILATION AND VISUALIZATION FOR ENSEMBLE WILDLAND FIRE MODELS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/529.

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This thesis describes an observation function for a dynamic data driven application system designed to produce short range forecasts of the behavior of a wildland fire. The thesis presents an overview of the atmosphere-fire model, which models the complex interactions between the fire and the surrounding weather and the data assimilation module which is responsible for assimilating sensor information into the model. Observation plays an important role in data assimilation as it is used to estimate the model variables at the sensor locations. Also described is the implementation of a portable a

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Green, Daniel. "Understanding urban rainfall-runoff responses using physical and numerical modelling approaches." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33530.

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This thesis provides a novel investigation into rainfall-runoff processes occurring within a unique two-tiered depth-driven overland flow physical modelling environment, as well as within a numerical model context where parameterisation and DEM/building resolution influences have been investigated using an innovative de-coupled methodology. Two approaches to simulating urban rainfall-runoff responses were used. Firstly, a novel, 9 m2 physical modelling environment consisting of a: (i) a low-cost rainfall simulator component able to simulate consistent, uniformly distributed rainfall events of

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Kale, Hikmet Emre. "Segmentation Of Human Facial Muscles On Ct And Mri Data Using Level Set And Bayesian Methods." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613352/index.pdf.

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Medical image segmentation is a challenging problem, and is studied widely. In this thesis, the main goal is to develop automatic segmentation techniques of human mimic muscles and to compare them with ground truth data in order to determine the method that provides best segmentation results. The segmentation methods are based on Bayesian with Markov Random Field (MRF) and Level Set (Active Contour) models. Proposed segmentation methods are multi step processes including preprocess, main muscle segmentation step and post process, and are applied on three types of data: Magnetic Resonance Imagi

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