Дисертації з теми "Analisi probabilistica"
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Bertoni, Vanessa. "Analisi probabilistica e uso di controventi dissipativi in telai in accaio e composti acciaio - calcestruzzo." Doctoral thesis, Università degli studi di Trieste, 2011. http://hdl.handle.net/10077/4469.
Повний текст джерелаIn questa tesi si indagano vari metodi per la protezione sismica delle strutture a partire da una corretta e realistica valutazione della loro risposta sismica attraverso un approccio probabilistico che tenga conto delle aleatorietà più significative. Se la risposta non soddisfa quanto atteso si può intervenire in vari modi come attraverso l’introduzione di controventi dissipativi. Si analizzano qui due tipologie: i controventi dotati di dispositivi visco elastici e quelli con dispositivi fluido viscosi. Di entrambi si presentano dei metodi di progetto completi con relativi confronti.
XXIII Ciclo
1977
Bella, Maurizio. "Modellazione numerica di strutture sismoresistenti e analisi probabilistiche di tipo montecarlo." Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3460.
Повний текст джерелаLo scopo della presente Tesi è lo sviluppo e la messa a punto di una serie di modelli numerici e codici di calcolo atti a modellare il comportamento di strutture sismoresistenti di tipo intelaiato sottoposte ad azione sismica al fine di poter effettuare una valutazione dell'affidabilità strutturale per mezzo di analisi probabilistiche di tipo Montecarlo. In particolare la modellazione dei giunti composti trave-colonna, è stata realizzata definendo un modello meccanico per componenti, atto a descrivere il comportamento del giunto modellato per mezzo di un insieme di elementi rigidi e deformabili, opportunamente connessi tra di loro e a cui sono stati assegnati opportuni modelli istertici. A tale scopo si è proceduto allo sviluppo ed implementazione all’interno del codice di calcolo ABAQUS e ADAPTIC di una serie di modelli isteretici reperiti in letteratura atti alla modellazione numerica delle principali componenti deformative individuabili nei giunti trave colonna e nei dispositivi viscoelastici utilizzati nella realizzazione di controventi dissipativi. Nello sviluppo del modello meccanico per la modellazione del comportamento dei giunti nodi trave colonna composti si è prestata particolare attenzione alla definizione degli elementi che descrivono l’interazione tra la soletta e la colonna. Per agevolare l’esecuzione dell’elevato numero di analisi numeriche richieste dalle analisi probabilistiche di tipo Montecarlo si è inoltre proceduto a sviluppare un pre-processore ed un post-processore in grado di interfacciarsi con i codici di calcolo utilizzati. Nel primo capitolo verrà introdotto il problema della valutazione dell'affidabilità delle strutture. Nel secondo capitolo verranno introdotti i metodi di analisi strutturale con particolare riferimento al metodo dell'analisi probabilistica di tipo montecarlo applicato alla valutazione dell'affidabilità delle strutture. Nel terzo capitolo si esaminerà la problematica della modellazione numerica delle strutture sismoresistenti. Nel quarto capitolo verranno illustrati i modelli numerici sviluppati e implementati nonchè i codici di calcolo sviluppati. Nel quinto capitolo verrà illustrato il processo di validazione dei modelli numerici sviluppati utilizzando i risultati forniti da una serie di indagini sperimentali condotte da vari autori e reperite in letteratura. Infine nel sesto capitolo si procederà alla valutazione dell'affidabilità strutturale di una struttura intelaiata campione. Più precisamente la struttura oggetto dell’indagine è il telaio testato nel European Laboratory for Structural Assessment (ELSA) del Joint Research Center (JRC) di Ispra (Varese). In particolare, per tale struttura verranno determinate le curve di fragilità con riferimento allo spostamento relativo di interpiano (IRDA) assunto come indice di danno strutturale.
XXII Ciclo
1979
Tagliaferri, Lorenza. "Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amslaurea.unibo.it/99/.
Повний текст джерелаLOPES, VALDIR M. "Incidentes em reatores nucleares de pesquisa examinados por analise de probabilidade deterministica e analise probabilistica de seguranca." reponame:Repositório Institucional do IPEN, 2010. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9589.
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Tese (Doutoramento)
IPEN/T
Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
Beccuti, Marco. "Modeling and analisys of probabilistic system : Formalism and efficient algorithm." Paris 9, 2008. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2008PA090060.
Повний текст джерелаStanghellini, Andrea. "Analisi costi benefici di un'infrastruttura stradale con approccio probabilistico all'analisi di sensitività e di rischio." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4782/.
Повний текст джерелаAsafu-Adjei, Joseph Kwaku. "Probabilistic Methods." VCU Scholars Compass, 2007. http://hdl.handle.net/10156/1420.
Повний текст джерелаSato, Fujio 1944. "Um estudo comparativo da analise de curto-circuito probabilistico em ambientes paralelo e distribuido." [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260361.
Повний текст джерелаTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
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Resumo: Este trabalho apresenta a paralelização de um programa de análise de curto-circuito probabilístico utilizando o método de Monte Cado para sistemas de potência. O programa, originariamente desenvolvido e implementado em computadores seqüenciais, foi codificado para dois ambientes distintos de alto desempenho (paralelo e distribuído), tendo como um dos objetivos a verificação de alguns itens importantes concernentes ao processamento paralelo, tais como: portabilidade, desempenho, escalabilidade e comunicação. As implementações paralela e distribuída desta aplicação foram feitas com dois modelos de programação concorrente: o SP M D (Single Process Multiple Data) e o Mestre/Escravo. Os resultados foram obtidos através de testes em quatro sistemas elétricos da região Sul-Sudeste do Sistema Interligado brasileiro
Abstract: This work presents the parallelization of a power system probabilistic short-circuit analysis program using Monte Gar/o method. A sequential version of the code, originally developed for one-processor machine, was extended to two different high performance computer system architectures (parallel and distributed). The main objective of the research was to study issues such as portability, performance, scalability and communication. Two programming models have been implemented on both architectures: SP MD, (Single Process Multiple Data) and MasterjSlave. The architectures and the models have been evalueted by simulation on four real-life networks of the brazilian South-Southeast interconnected system
Doutorado
Energia Eletrica
Doutor em Engenharia Elétrica
Alhajj, Chehade Hicham. "Geosynthetic-Reinforced Retaining Walls-Deterministic And Probabilistic Approaches." Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALI010.
Повний текст джерелаThe aim of this thesis is to assess the seismic internal stability of geosynthetic reinforced soil retaining walls. The work first deals with deterministic analyses and then focus on probabilistic ones. In the first part of this thesis, a deterministic model, based on the upper bound theorem of limit analysis, is proposed for assessing the reinforced soil wall safety factor or the required reinforcement strength to stabilize the structure. A spatial discretization technique is used to generate the rotational failure surface and give the possibility of considering heterogeneous backfills and/or to represent the seismic loading by the pseudo-dynamic approach. The cases of dry, unsaturated and saturated soils are investigated. Additionally, the crack presence in the backfill soils is considered. This deterministic model gives rigorous results and is validated by confrontation with existing results from the literature. Then, in the second part of the thesis, this deterministic model is used in a probabilistic framework. First, the uncertain input parameters are modeled using random variables. The considered uncertainties involve the soil shear strength parameters, seismic loading and reinforcement strength parameters. The Sparse Polynomial Chaos Expansion that consists of replacing the time expensive deterministic model by a meta-model, combined with Monte Carlo Simulations is considered as the reliability method to carry out the probabilistic analysis. Random variables approach neglects the soil spatial variability since the soil properties and the other uncertain input parameters, are considered constant in each deterministic simulation. Therefore, in the last part of the manuscript, the soil spatial variability is considered using the random field theory. The SIR/A-bSPCE method, a combination between the dimension reduction technique, Sliced Inverse Regression (SIR) and an active learning sparse polynomial chaos expansion (A-bSPCE), is implemented to carry out the probabilistic analysis. The total computational time of the probabilistic analysis, performed using SIR-SPCE, is significantly reduced compared to directly running classical probabilistic methods. Only the soil strength parameters are modeled using random fields, in order to focus on the effect of the spatial variability on the reliability results
Guo, Xiangfeng. "Probabilistic stability analysis of an earth dam using field data." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALI017.
Повний текст джерелаUncertainties of soil properties are widely encountered in the field of geotechnical engineering especially for earth dams which are constructed with earthen materials. In recent years, there is an increasing need, motivated by the deficiencies of the traditional deterministic approach or guided by the national regulations such as in France, of accounting for these uncertainties for a safe assessment of large dams particularly in the framework of risk analysis studies. However, probabilistic analyses are still complex and not so easy to implement in practice due to the limited number of in-situ measurements, expensive computation efforts and lack of implementation of reliability methods in commercial simulation tools. Moreover, most of the previous studies are based on academic cases and hypothetic data.This work attempts to deal with the aforementioned issues by providing a probabilistic analysis study for the stability of a real earth dam using available field data. This study includes the following main elements: (1) definition of the soil variability by using the available measurements; (2) development of the deterministic models; (3-4) dam probabilistic analyses using the random-variables and random-fields approaches; (5) three-dimensional reliability analysis of the considered dam. Advanced reliability methods, such as the adaptive surrogate modelling, are introduced for the studied earth dam problem. This allows accurately estimating the dam failure probability and the safety factor statistics with a significantly reduced calculation time. In addition, some issues, that remain unknown or unclear in the field of the dam probabilistic analysis, are discussed (e.g. global sensitivity analysis of the soil hydraulic and shear strength parameters; performance survey of five reliability methods; simulation/comparison of three different kinds of random fields: generic (unconditional-stationary), conditional and nonstationary). The presented work, based on real measurements, could be a good supplement to the existing probabilistic studies of geo-structures. Readers will find useful information from the obtained results in order to better solve the practical geotechnical problems in a probabilistic framework
Hohn, Jennifer Lynn. "Generalized Probabilistic Bowling Distributions." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/82.
Повний текст джерелаLarsson, Emelie. "Utvärdering av osäkerhet och variabilitet vid beräkning av riktvärden för förorenad mark." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-218289.
Повний текст джерелаIn Sweden, approximately 80,000 contaminated areas have been identified. Some of these areas are in need of remediation to cope with the effects that the contaminants have on both humans and the environment. The Swedish Environmental Protection Agency (EPA) has published a methodology on how to perform risk assessments for contaminated soils together with a complex model for calculating soil guideline values. The guideline value model is deterministic and calculates single guideline values for contaminants. The model does not account explicitly for uncertainty and variability in parameters but rather handles it implicitly by using safety-factors and reasonable worst-case assumptions for different parameters. One method to account explicitly for uncertainty and variability in a risk assessment is to perform a probabilistic risk assessment (PRA) through Monte Carlo-simulations. A benefit with this is that the parameters can be defined with probability density functions (PDFs) that account for the uncertainty and variability of the parameters. In this Master's Thesis a PRA was conducted and followed by calculations of probabilistic guideline values for selected contaminants. The model was run for two sets of PDFs for the parameters: one was collected from extensive research in published articles and another one included the deterministic values set by the Swedish EPA for all parameters. The sets generated cumulative probability distributions (CPDs) of guideline values that, depending on the contaminant, corresponded in different levels to the deterministic guideline values that the Swedish EPA had calculated. In general, there was a stronger correlation between the deterministic guideline values and the CPDs for the sensitive land-use scenario compared to the less sensitive one. For contaminants, such as dioxin and PCB-7, a lowering of the guideline values would be required to fully protect humans and the environment based on the results in this thesis. Based on a recent soil investigation that Geosigma AB has performed, a case study was also conducted. In general there was a correlation between the deterministic site specific guideline values and the CPDs in the case study. In addition to this, a health oriented risk assessment was performed in the thesis where unexpected exposure pathways were found to be governing for the guideline values. For some contaminants the exposure pathway governing the guideline values in the PRA differed from the deterministic ones in 70-90 % of the simulations. Also, the contributing part of the exposure pathways to the unadjusted health guideline values differed from the deterministic ones. This indicated the need of always quantifying the composition of guideline values in probabilistic risk assessments.
Pan, Qiujing. "Deterministic and Probabilistic Assessment of Tunnel Face Stability." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAI044.
Повний текст джерелаIn the contemporary society, the utilization and exploitation of underground space has become an inevitable and necessary measure to solve the current urban congestion. One of the most important requirements for successful design and construction in tunnels and underground engineering is to maintain the stability of the surrounding soils of the engineering. But the stability analysis requires engineers to have a clear ideal of the earth pressure, the pore water pressure, the seismic effects and the soil variability. Therefore, the research aimed at employing an available theory to design tunnels and underground structures which would be a hot issue with high engineering significance. Among these approaches employed to address the above problem, limit analysis is a powerful tool to perform the stability analysis and has been widely used for real geotechnical works. This research subject will undertake further research on the application of upper bound theorem to the stability analysis of tunnels and underground engineering. Then this approach will be compared with three dimensional analysis and experimental available data. The final goal is to validate new simplified mechanisms using limit analysis to design the collapse and blow-out pressure at the tunnel face. These deterministic models will then be used in a probabilistic framework. The Collocation-based Stochastic Response Surface Methodology will be used, and generalized in order to make possible at a limited computational cost a complete parametric study on the probabilistic properties of the input variables. The uncertainty propagation through the models of stability and ground movements will be evaluated, and some methods of reliability-based design will be proposed. The spatial variability of the soil will be taken into account using the random field theory, and applied to the tunnel face collapse. This model will be developed in order to take into account this variability for much smaller computation times than numerical models, will be validated numerically and submitted to extensive random samplings. The effect of the spatial variability will be evaluated
Feng, Jianwen. "Probabilistic modelling of heterogeneous media." Thesis, Swansea University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.644724.
Повний текст джерелаMason, Dave. "Probabilistic Program Analysis for Software Component Reliability." Thesis, University of Waterloo, 2002. http://hdl.handle.net/10012/1059.
Повний текст джерелаKassa, Negede Abate. "Probabilistic safety analysis of dams." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-60843.
Повний текст джерелаNatarajan, Iniyan. "Probabilistic methods for radio interferometry data analysis." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27243.
Повний текст джерелаTsang, Hing-ho. "Probabilistic seismic hazard assessment direct amplitude-based approach /." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36783456.
Повний текст джерелаTsang, Hing-ho, and 曾慶豪. "Probabilistic seismic hazard assessment: direct amplitude-based approach." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36783456.
Повний текст джерелаpublished_or_final_version
abstract
Civil Engineering
Doctoral
Doctor of Philosophy
POZZI, FEDERICO ALBERTO. "Probabilistic Relational Models for Sentiment Analysis in Social Networks." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2015. http://hdl.handle.net/10281/65709.
Повний текст джерелаBagheri, Mehdi. "Block stability analysis using deterministic and probabilistic methods." Doctoral thesis, KTH, Jord- och bergmekanik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-49447.
Повний текст джерелаQC 20111201
Khan, Khader A. "Probabilistic Stress Analysis of Liquid Storage Tank." Cleveland State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=csu1271639817.
Повний текст джерелаKaowichakorn, Peerachai. "Probabilistic Analysis of Quality of Service." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4880.
Повний текст джерелаBandini, Samantha. "WiFi Analytics e Indoor Positioning: analisi di un caso di studio e valutazione del rispetto della privacy." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Знайти повний текст джерелаCruz, Fernández Francisco. "Probabilistic graphical models for document analysis." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/399520.
Повний текст джерелаCurrently, more than 80% of the documents stored on paper belong to the business field. Advances in digitization techniques have fostered the interest in creating digital copies in order to solve maintenance and storage problems, as well as to have efficient ways for transmission and automatic extraction of the information contained therein. This situation has led to the need to create systems that can automatically extract and analyze this kind of information. The great variety of types of documents makes this not a trivial task. The extraction process of numerical data from tables or invoices differs substantially from a task of handwriting recognition in a document with annotations. However, there is a common link in the two tasks: Given a document, we need to identify the region where the information of interest is located. In the area of Document Analysis this process is called Layout Analysis, and aims at identifying and categorizing the different entities that compose the document. These entities can be text regions, pictures, text lines or tables, among others. This process can be done from two different approaches: physical or logical analysis. Physical analysis focus on identifying the physical boundaries that define the area of interest, whereas logical analysis also models information about the role and semantics of the entities within the scope of the document. To encode this information it is necessary to incorporate prior knowledge about the task into the analysis process, which can be introduced in terms of contextual relations between entities. The use of context has proven to be useful to reinforce the recognition process and improve the results on many computer vision tasks. It presents two fundamental questions: what kind of contextual information is appropriate, and how to incorporate this information into the model. In this thesis we study several ways to incorporate contextual information on the task of document layout analysis. We focus on the study of Probabilistic Graphical Models and other mechanisms for the inclusion of contextual relations applied to the specific tasks of region identification and handwritten text line segmentation. On the one hand, we present several methods for region identification. First, we present a method for layout analysis based on Conditional Random Fields for maximum a posteriori estimation. We encode a set of structural relations between different classes of regions on a set of features. Second, we present a method based on 2D-Probabilistic Context-free Grammars and perform a comparative study between probabilistic graphical models and this syntactic approach. Third, we propose a statistical approach based on the Expectation-Maximization algorithm devised to structured documents. We perform a thorough evaluation of the proposed methods on two particular collections of documents: a historical dataset composed of ancient structured documents, and a collection of contemporary documents. On the other hand, we present a probabilistic framework applied to the task of handwritten text line segmentation. We successfully combine the EM algorithm and variational approaches for this purpose. We demonstrate that the use of contextual information using probabilistic graphical models is of great utility for these tasks.
De, Biasio Marco. "Ground motion intensity measures for seismic probabilistic risk analysis." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENI051/document.
Повний текст джерелаA fundamental issue that arises in the framework of Probabilistic Seismic Risk Analysis is the choice of groundmotion Intensity Measures (IMs). In addition to reducing record-to-record variability, an improved IM (i.e. one able tobetter capture the damaging features of a record, as well as the site hazard) provides criteria for selecting input groundmotions to loosen restrictions.Two new structure-specific IMs are proposed in this study: the first, namely ASAR (i.e. Relative Average SpectralAcceleration), is conceived for Structural demand prediction, the second namely, E-ASAR (i.e. Equipment-RelativeAverage Spectral Acceleration), aims to predict Non-Structural components acceleration demand. The performance ofthe proposed IMs are compared with the ones of current IMs, based on: a) a large dataset of thousands recordedearthquake ground motions; b) numerical analyses conducted with state-of-the-art FE models, representing actualload-bearing walls and frame structures, and validated against experimental tests; and c) systematic statistical analysesof the results. According to the comparative study, the introduced IMs prove to be considerably more “efficient” withrespect to the IMs currently used. Likewise, both ASAR and E-ASAR have shown to own the characteristic of“sufficiency” with respect to magnitude, source-to-site distance and soil-type (Vs30). Furthermore, both the introducedIMs possess the valuable characteristics to need (in order to be computed) merely the knowledge of the building’sfundamental frequency, exactly as it is for the wide-spread spectral acceleration Spa(f1). This key characteristic makesboth ASAR and E-ASAR easily exploitable in Probabilistic Seismic Hazard Analysis.Therefore, due to their proven efficiency, sufficiency, robustness and applicable formulation, both ASAR and EASARcan be considered as worthy candidates for defining seismic hazard within the frameworks of both Probabilisticand Deterministic Seismic Risk Analysis
Sproston, Jeremy James. "Model checking of probabilistic timed and hybrid systems." Thesis, University of Birmingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391021.
Повний текст джерелаBonilha, Murilo Weingarten. "A hybrid deterministic-probabilistic model for vibroacoustic studies." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242537.
Повний текст джерелаPilla, Srikanth. "Integration of Micromechanical and Probabilistic Analysis Models of Nanocomposites." University of Toledo / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1134422032.
Повний текст джерелаLieswyn, John. "Probabilistic Risk Analysis in Transport Project Economic Evaluation." Thesis, University of Canterbury. Civil and Natural Resources Engineering, 2012. http://hdl.handle.net/10092/7652.
Повний текст джерелаChrszon, Philipp, Clemens Dubslaff, Sascha Klüppelholz, and Christel Baier. "Family-Based Modeling and Analysis for Probabilistic Systems." Springer, 2016. https://tud.qucosa.de/id/qucosa%3A70790.
Повний текст джерелаMadhira, Venkata Sridhar. "PROBABILISTIC STRESS ANALYSIS OF CIRCULAR FINS OF DIFFERENT PROFILES." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1307567164.
Повний текст джерелаAytemiz, Tevfik. "A Probabilistic Study of 3-SATISFIABILITY." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28202.
Повний текст джерелаPh. D.
Mandelli, Diego. "SCENARIO CLUSTERING AND DYNAMIC PROBABILISTIC RISK ASSESSMENT." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306438099.
Повний текст джерелаFayad, Ghassan Najib. "Probabilistic Finite Element Analysis of Marine Grade Composites." Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/FayadGN2005.pdf.
Повний текст джерелаQin, Xinzhou. "A Probabilistic-Based Framework for INFOSEC Alert Correlation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7278.
Повний текст джерелаPalhares, André Vitor de Almeida. "Probabilistic Risk Assessment in Clouds: Models and Algorithms." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/10423.
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Cloud reliance is critical to its success. Although fault-tolerance mechanisms are employed by cloud providers, there is always the possibility of failure of infrastructure components. We consequently need to think proactively of how to deal with the occurrence of failures, in an attempt to minimize their effects. In this work, we draw the risk concept from probabilistic risk analysis in order to achieve this. In probabilistic risk analysis, consequence costs are associated to failure events of the target system, and failure probabilities are associated to infrastructural components. The risk is the expected consequence of the whole system. We use the risk concept in order to present representative mathematical models for which computational optimization problems are formulated and solved, in a Cloud Computing environment. In these problems, consequence costs are associated to incoming applications that must be allocated in the Cloud and the risk is either seen as an objective function that must be minimized or as a constraint that should be limited. The proposed problems are solved either by optimal algorithm reductions or by approximation algorithms with provably performance guarantees. Finally, the models and problems are discussed from a more practical point of view, with examples of how to assess risk using these solutions. Also, the solutions are evaluated and results on their performance are established, showing that they can be used in the effective planning of the Cloud.
Hua, Ke Qian. "Probabilistic power system contingency analysis considering wind." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/79903/1/Ke%20Qian_Hua_Thesis.pdf.
Повний текст джерелаMa, Zheng. "Probabilistic Boolean network modeling for fMRI study in Parkinson's disease." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/4172.
Повний текст джерелаAzmi, Mastura Binti. "STUDY ON SLOPE STABILITY OF PENANG ISLAND CONSIDERING EARTHQUAKE AND RAINFALL EFFECTS." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188539.
Повний текст джерелаSehhati, Reza. "Probabilistic seismic demand analysis for the near-fault zone." Pullman, Wash. : Washington State University, 2008. http://www.dissertations.wsu.edu/Dissertations/Fall2008/r_sehhati_120108.pdf.
Повний текст джерелаTitle from PDF title page (viewed on Oct. 22, 2009). "Department of Civil & Environmental Engineering." Includes bibliographical references (p. 166-171).
Lu, Yuan-Chiao. "Probabilistic Analysis of the Material and Shape Properties for Human Liver." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64798.
Повний текст джерелаPh. D.
Robertson, Bradford E. "A hybrid probabilistic method to estimate design margin." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50375.
Повний текст джерелаDevaney, Shaun. "Development of software for reliability based design of steel framed structures in fire." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/10468.
Повний текст джерелаGudjonsen, Ludvik. "Combining Probabilistic and Discrete Methods for Sequence Modelling." Thesis, University of Skövde, Department of Computer Science, 1999. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-390.
Повний текст джерелаSequence modelling is used for analysing newly sequenced proteins, giving indication of the 3-D structure and functionality. Current approaches to the modelling of protein families are either based on discrete or probabilistic methods. Here we present an approach for combining these two approaches in a hybrid model, where discrete patterns are used to model conserved regions and probabilistic models are used for variable regions. When hidden Markov models are used to model the variable regions, the hybrid method gives increased classification accuracy, compared to pure discrete or probabilistic models.
Aysan, Hüseyin. "Fault-Tolerance Strategies and Probabilistic Guarantees for Real-Time Systems." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-14653.
Повний текст джерелаChrszon, Philipp, Clemens Dubslaff, Sascha Klüppelholz, and Christel Baier. "ProFeat: Feature-oriented engineering for family-based probabilistic model checking." Springer, 2017. https://tud.qucosa.de/id/qucosa%3A70792.
Повний текст джерелаEimontas, Tadas. "Tikimybinės dinamikos modeliavimas ir patikimumo analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_144151-63546.
Повний текст джерелаThe current probabilistic safety analysis is not capable of estimating the reliability of the complex dynamic systems where the interactions occur between hardware, software and human actions. In the safety analysis of these systems the time factor is as much important as it joins an evolution of physical variables and stochastic events. In this master thesis the simulation and reliability analysis of the probabilistic dynamics are considered. The new approach of stimulus based probabilistic dynamics is used for the Monte Carlo simulations of the dynamic system. The developed methodology was applied for the safety analysis of the loss of the coolant accident in the nuclear reactor. Besides the assessment of the probability of system failure the scenario analysis was accomplished. The essential events were identified. The uncertainty and sensitivity analysis revealed that the failure probability had a wide range of the distribution due to the uncertainty of twelve simulation parameters. Four main parameters were identified as their uncertainty had the biggest correlation with the uncertainty of the system failure. For the complete reliability analysis the relations between the failure probability and the system characteristics were determined.
Al-Bittar, Tamara. "Probabilistic analysis of shallow foundations resting on spatially varying soils." Nantes, 2012. http://archive.bu.univ-nantes.fr/pollux/show.action?id=17b61462-4bf8-4bbd-9c16-ad777ebd98ab.
Повний текст джерелаThe aim of this thesis is to study the performance of shallow foundations resting on spatially varying soils and subjected to a static or a dynamic (seismic) loading using probabilistic approaches. In the first part of this thesis, a static loading was considered in the probabilistic analysis. In this part, only the soil spatial variability was considered and the soil parameters were modelled by random fields. In such cases, Monte Carlo Simulation (MCS) methodology is generally used in literature. In this thesis, the Sparse Polynomial Chaos Expansion (SPCE) methodology was employed. This methodology aims at replacing the finite element/finite difference deterministic model by a meta-model. This leads (in the present case of highly dimensional stochastic problems) to a significant reduction in the number of calls of the deterministic model with respect to the crude MCS methodology. Moreover, an efficient combined use of the SPCE methodology and the Global Sensitivity Analysis (GSA) was proposed. The aim is to reduce once again the probabilistic computation time for problems with expensive deterministic models. In the second part of this thesis, a seismic loading was considered. In this part, the soil spatial variability and/or the time variability of the earthquake Ground-Motion (GM) were considered. In this case, the earthquake GM was modelled by a random process. Both cases of a free field and a Soil-Structure Interaction (SSI) problem were investigated. The numerical results have shown the significant effect of the time variability of the earthquake GM in the probabilistic analysis
König, Johan. "Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture." Doctoral thesis, KTH, Industriella informations- och styrsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-145006.
Повний текст джерелаQC 20140505