Dissertations / Theses on the topic 'Feature Adaptation'
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Harris, Matthew. "Flow feature aligned mesh generation and adaptation." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/4192/.
Full textStoltzfus, Daniel Paul. "Predictions on markedness and feature resilience in loanword adaptation." Doctoral thesis, Université Laval, 2014. http://hdl.handle.net/20.500.11794/25567.
Full textA loanword is normally adapted to fit its foreign elements to the phonological system of the borrowing language (L1). Recently, some authors (e.g. Miao 2005; Steriade 2001b, 2009) have proposed that during the adaptation process of a second language (L2) consonant, manner features are more resistant to change than are non-manner features. A careful study of my data indicate that manner features (e.g. [±continuant]) are as likely to be involved in the adaptation process as are non-manner [±voice] and [±anterior]. For example, French /Z/ is usually not tolerated word-initially in English. Adaptation options include /Z/ → [z] (change of place), /Z/ → [S] (change of voicing) and /Z/ → [dZ] (change of manner). The primary adaptation in English is /Z/ → [dZ] (e.g. French [Zelatin] gélatine → English [dZElœtIn]) where manner is in fact the less resistant. Instead, during loanword adaptation there is a clear tendency towards unmarkedness. My hypothesis is that languages overwhelmingly adapt with the goal of eliminating the complexities of the L2; a change that involves deletion instead of insertion of a marked feature is preferred. Furthermore, my thesis shows for the first time that a consonant is statistically most likely to be imported if its preferred adaptation strategy involves insertion of a marked feature (e.g. [+continuant] or [+voice]). For example, the adaptation of English /dZ/ is /Z/ in French after insertion of marked [+continuant], but /dZ/ is overwhelmingly imported (89%), instead of adapted in French. I argue that this is to avoid the insertion of marked [+continuant]. This contrasts with Pennsylvania German (PG) where English /dZ/ is rarely imported (10%). This is because unlike in French, there is an option to adapt /dZ/ to /tS/ (deletion of marked [+voice]) in PG. However, English word-initial /t/ is heavily imported (74%), not adapted, in PG because adaptation to /d/ involves insertion of marked [+voice]. Not only does my thesis better determine the direction of adaptations but it also establishes the circumstances where L2 consonants are most likely to be imported instead of being adapted, on the basis of a well-known notion in phonology: markedness.
Lu, Jianhua. "Missing feature decoding and model adaptation for noisy speech recognition." Thesis, Queen's University Belfast, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527938.
Full textZennaro, Fabio. "Feature distribution learning for covariate shift adaptation using sparse filtering." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/feature-distribution-learning-for-covariate-shift-adaptation-using-sparse-filtering(67989db2-b8a0-4fac-8832-f611e9236ed5).html.
Full textCollet, Philippe. "Taming Complexity of Large Software Systems: Contracting, Self-Adaptation and Feature Modeling." Habilitation à diriger des recherches, Université de Nice Sophia-Antipolis, 2011. http://tel.archives-ouvertes.fr/tel-00657444.
Full textYang, Baoyao. "Distribution alignment for unsupervised domain adaptation: cross-domain feature learning and synthesis." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/556.
Full textLock, G. "'Petticoat Sailor' to 'She Crossing' : adaptation in process : a writer's reflection on adapting a feature length screenplay into a novel." Thesis, Nottingham Trent University, 2015. http://irep.ntu.ac.uk/id/eprint/27947/.
Full textKleynhans, Neil Taylor. "Automatic speech recognition for resource-scarce environments / N.T. Kleynhans." Thesis, North-West University, 2013. http://hdl.handle.net/10394/9668.
Full textThesis (PhD (Computer and Electronic Engineering))--North-West University, Potchefstroom Campus, 2013.
Cardace, Adriano. "Learning Features Across Tasks and Domains." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20050/.
Full textSvensson, Ylva. "Embedded in a context : the adaptation of immigrant youth." Doctoral thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-24172.
Full textThe article "Homophily in friendship networks of immigrant and nonimmigrantyouth: Does context matter?" in the list of studies is published electronically as "Peer selection and influence of delinquent behavior of immigrant and nonimmigrant youths: does context matter?"
Liu, Ye. "Application of Convolutional Deep Belief Networks to Domain Adaptation." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397728737.
Full textSalman, Nader. "From 3D point clouds to feature preserving meshes." Nice, 2010. http://www.theses.fr/2010NICE4086.
Full textMost of the current surface reconstruction algorithms target high quality data and can produce some intractable results when used with point clouds acquired through profitable 3D acquisitions methods. Our first contribution is a surface reconstruction, algorithm from stereo vision data copes with the data’s fuzziness using information from both the acquired D point cloud and the calibrated images. After pre-processing the point cloud, the algorithm builds, using the calibrated images, 3D triangular soup consistent with the surface of the scene through a combination of visibility and photo-consistency constraints. A mesh is then computed from the triangle soup using a combination of restricted Delaunay triangulation and Delaunay refinement methods. Our second contribution is an algorithm that builds, given a 3D point cloud sampled on a surface, an approximating surface mesh with an accurate representation of surface sharp edges, providing an enhanced trade-off between accuracy and mesh complexity. We first extract from the point cloud an approximation of the sharp edges of the underlying surface. Then a feature preserving variant of a Delaunay refinement process generates a mesh combining a faithful representation of the extracted sharp edges with an implicit surface obtained from the point cloud. The method is shown to be flexible, robust to noise and tuneable to adapt to the scale of the targeted mesh and to a user defined sizing field. We demonstrate the effectiveness of both contributions on a variety of scenes and models acquired with different hardware and show results that compare favourably, in terms of accuracy, with the current state of the art
DiCintio, Matt. "A Pilgrim, An Outlaw: Features of Dramatic Adaptation and Theodore Dreiser’s Sister Carrie." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/305.
Full textMartin, Helen Mary. "Children's adaptations: A consideration of children's adaptations from popular written texts into stage, filmic and televisual formats. Examined are the features that determine their popularity and the pertinent questions that surround the role of adaptation, and its future possibilities." Thesis, Martin, Helen Mary (1996) Children's adaptations: A consideration of children's adaptations from popular written texts into stage, filmic and televisual formats. Examined are the features that determine their popularity and the pertinent questions that surround the role of adaptation, and its future possibilities. Masters by Coursework thesis, Murdoch University, 1996. https://researchrepository.murdoch.edu.au/id/eprint/52859/.
Full textCosta, Paulo Alexandre da Silva. "Uma ferramenta para anÃlise automÃtica de modelos de caracterÃsticas de linhas de produtos de software sensÃvel ao contexto." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10462.
Full textAs Linhas de produtos de software sÃo uma forma de maximizar o reuso de software, dado que proveem a customizaÃÃo de software em massa. Recentemente, Linhas de produtos de software (LPSs) tÃm sido usadas para oferecer suporte ao desenvolvimento de aplicaÃÃes sensÃveis ao contexto nas quais adaptabilidade em tempo de execuÃÃo à um requisito importante. Neste caso, as LPSs sÃo denominadas Linhas de produtos de software sensÃveis ao contexto (LPSSCs). O sucesso de uma LPSSC depende, portanto, da modelagem de suas caracterÃsticas e do contexto que lhe à relevante. Neste trabalho, essa modelagem à feita usando o diagrama de caracterÃsticas e o diagrama de contexto. Entretanto, um processo manual para construÃÃo e configuraÃÃo desses modelos pode facilitar a inclusÃo de diversos erros, tais como duplicaÃÃo de caracterÃsticas, ciclos, caracterÃsticas mortas e falsos opcionais sendo, portanto, necessÃrio o uso de tÃcnicas de verificaÃÃo de consistÃncia. A verificaÃÃo de consistÃncia neste domÃnio de aplicaÃÃes assume um papel importante, pois as aplicaÃÃes usam contexto tanto para prover serviÃos como para auto-adaptaÃÃo caso seja necessÃrio. Neste sentido, as adaptaÃÃes disparadas por mudanÃas de contexto podem levar a aplicaÃÃo a um estado indesejado. AlÃm disso, a descoberta de que algumas adaptaÃÃes podem levar a estados indesejados sà pode ser atestada durante a execuÃÃo pois o erro à condicionado à configuraÃÃo atual do produto. Ao considerar que tais aplicaÃÃes estÃo sujeitas a um grande volume de mudanÃas contextuais, a verificaÃÃo manual torna-se impraticÃvel. Logo, à interessante que seja possÃvel realizar a verificaÃÃo da consistÃncia de forma automatizada de maneira que uma entidade computacional possa realizar essas operaÃÃes. Dado o pouco suporte automatizado oferecido a esses processos, o objetivo deste trabalho à propor a automatizaÃÃo completa desses processos com uma ferramenta, chamada FixTure (FixTure), para realizar a verificaÃÃo da construÃÃo dos modelos de caracterÃsticas para LPSSC e da configuraÃÃo de produtos a partir desses modelos. A ferramenta FixTure tambÃm provà uma simulaÃÃo de situaÃÃes de contexto no ciclo de vida de uma aplicaÃÃo de uma LPSSC, com o objetivo de identificar inconsistÃncias que ocorreriam em tempo de execuÃÃo.
Software product lines are a way to maximize software reuse once it provides mass software customization. Software product lines (SPLs) have been also used to support contextaware applicationâs development where adaptability at runtime is an important issue. In this case, SPLs are known as Context-aware software product lines. Context-aware software product line (CASPL) success depends on the modelling of their features and relevant context. However, a manual process to build and configure these models can add several errors such as replicated features, loops, and dead and false optional features. Because of this, there is a need of techniques to verify the model consistency. In the context-aware application domain, the consistency verification plays an important role, since application in this domain use context to both provide services and self-adaptation, when it is needed. In this sense, context-triggered adaptations may lead the application to undesired state. Moreover, in some cases, the statement that a contex-triggered adaptation is undesired only can be made at runtime, because the error is conditioned to the current product configuration. Additionally, applications in this domain are submitted to large volumes of contextual changes, which imply that manual verification is virtually not viable. So, it is interesting to do consistency verification in a automated way such that a computational entity may execute these operations. As there is few automated support for these proccesses, the objective of this work is to propose the complete automation of these proccesses with a software tool, called FixTure, that does consistency verification of feature diagrams during their development and product configuration. FixTure tool also supports contextual changes simulation during the lifecycle of a CASPL application in order to identify inconsistencies that can happen at runtime.
Haque, Serajul. "Perceptual features for speech recognition." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0187.
Full textCharnay, Clément. "Enhancing supervised learning with complex aggregate features and context sensitivity." Thesis, Strasbourg, 2016. http://www.theses.fr/2016STRAD025/document.
Full textIn this thesis, we study model adaptation in supervised learning. Firstly, we adapt existing learning algorithms to the relational representation of data. Secondly, we adapt learned prediction models to context change.In the relational setting, data is modeled by multiples entities linked with relationships. We handle these relationships using complex aggregate features. We propose stochastic optimization heuristics to include complex aggregates in relational decision trees and Random Forests, and assess their predictive performance on real-world datasets.We adapt prediction models to two kinds of context change. Firstly, we propose an algorithm to tune thresholds on pairwise scoring models to adapt to a change of misclassification costs. Secondly, we reframe numerical attributes with affine transformations to adapt to a change of attribute distribution between a learning and a deployment context. Finally, we extend these transformations to complex aggregates
Ramos, Jonathan da Silva. "Algoritmos de casamento de imagens com filtragem adaptativa de outliers." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-02022017-110428/.
Full textImage matching plays a major role in many applications, such as pattern recognition and microscopic imaging. It encompasses three steps: 1) interest point selection; 2) feature extraction from each point; 3) feature point matching. For steps 1 and 2, traditional interest point detectors/ extractors have worked well. However, for step 3 even a few points incorrectly matched (outliers), might lead to an undesirable result. State-of-the-art consensus algorithms present a high time cost as the number of outlier increases. Aiming at overcoming this problem, we present FOMP, a preprocessing approach, that reduces the number of outliers in the initial set of matched points. FOMP filters out the vertices that present a higher difference among their edges in a complete graph representation of the points. To validate the proposed method, experiments were performed with four image database: (a) variations of rotation or camera zoom; (b) repetitive patterns, which leads to duplicity of features vectors; (c) deformable objects, such as plastics, clothes or papers; (d) affine transformations (different viewpoint). The experimental results showed that FOMP removes more than 65% of the outliers, while keeping over 98% of the inliers. Moreover, the precision of traditional methods is kept, while reducing the processing time of graph based approaches by half.
Kuliešienė, Asta. "Vaikų iš socialiai remtinų šeimų ankstyvoji adaptacija ikimokyklinio ugdymo įstaigose." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130125_130134-90440.
Full textIn modern industrial society, with difficult economic conditions, the family concept has been substantially altered. A child on a daily basis understands the reality and takes part in it taking over the characteristics of parental behavior, actions and temper. Certain groups of people feel unsafe in changed socio-economic conditions. They are difficult to adapt to the pace of modern life, to the socio-economic and political changes. Extremely high unemployment highlighted social problems of the families with low income The study involved 185 respondents: 87 parents and 18 preschool teachers from the preschools of Kaunas Dainava district; who monitored and evaluated the behavior of 80 children.
Омаров, М. А., В. М. Карташов, and Р. И. Цехмистро. "Features of the Use of Microprocessors in the Systems of Ovojectors in their Adaptation to the Conditions of the Former CIS." Thesis, NURE, MC&FPGA, 2019. https://mcfpga.nure.ua/conf/2019-mcfpga/10-35598-mcfpga-2019-012.
Full textNicely, Kenneth Edward. "Middle Level Schools in an Era of Standards and Accountability: Adaptations of the Features of the Middle School Concept." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26551.
Full textEd. D.
Muhammad, Aminu. "Contextual lexicon-based sentiment analysis for social media." Thesis, Robert Gordon University, 2016. http://hdl.handle.net/10059/1571.
Full textBalan, André Guilherme Ribeiro. "Métodos adaptativos de segmentação aplicados à recuperação de imagens por conteúdo." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15062007-150711/.
Full textStoring images in digital format has supported the evolution of several branches of activities, specially the research area and medical clinic. At the same time, the increasing volume of stored images has originated a topic of considerable relevance and complexity: the Content- Based Imagem Retrieval, which, in other works, is related to the ability of a computational system in processing image queries based on visual features automatically extracted by computational methods. Among the main questions that constitute this issue, widely known as CBIR, are these: How to mathematically express image content? What measures can suitably characterize this content? How to retrieve images from a large dataset employing the extracted content? How to establish a mathematical criterion of similarity among the imagens? The work developed and presented in this thesis aims at answering questions like those, especially for the medical images domain and genetical biology, where the demand for computational systems that embody CBIR techniques is considerably high for several reasons. Reasons that range from the need for retrieving visual information that was until then inaccessible due to the lack of textual annotations, until the interest in having liable computational support for the important task of clinical diagnosis. In this work are proposed innovative methods and solutions for the problem of image segmentation and feature extraction of medical images and images of gene expression patterns. Segmentation is the process that enables a more coherent representation of image?s visual content than that provided by traditional methods of global and direct representation. Grounded in such idea, the feature extraction techniques developed in this work employ adaptive image segmentation methods, and achieve excellent results on the task of Content-Based Image Retrieval
Gangireddy, Siva Reddy. "Recurrent neural network language models for automatic speech recognition." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28990.
Full textSellami, Akrem. "Interprétation sémantique d'images hyperspectrales basée sur la réduction adaptative de dimensionnalité." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0037/document.
Full textHyperspectral imagery allows to acquire a rich spectral information of a scene in several hundred or even thousands of narrow and contiguous spectral bands. However, with the high number of spectral bands, the strong inter-bands spectral correlation and the redundancy of spectro-spatial information, the interpretation of these massive hyperspectral data is one of the major challenges for the remote sensing scientific community. In this context, the major challenge is to reduce the number of unnecessary spectral bands, that is, to reduce the redundancy and high correlation of spectral bands while preserving the relevant information. Therefore, projection approaches aim to transform the hyperspectral data into a reduced subspace by combining all original spectral bands. In addition, band selection approaches attempt to find a subset of relevant spectral bands. In this thesis, firstly we focus on hyperspectral images classification attempting to integrate the spectro-spatial information into dimension reduction in order to improve the classification performance and to overcome the loss of spatial information in projection approaches.Therefore, we propose a hybrid model to preserve the spectro-spatial information exploiting the tensor model in the locality preserving projection approach (TLPP) and to use the constraint band selection (CBS) as unsupervised approach to select the discriminant spectral bands. To model the uncertainty and imperfection of these reduction approaches and classifiers, we propose an evidential approach based on the Dempster-Shafer Theory (DST). In the second step, we try to extend the hybrid model by exploiting the semantic knowledge extracted through the features obtained by the previously proposed approach TLPP to enrich the CBS technique. Indeed, the proposed approach makes it possible to select a relevant spectral bands which are at the same time informative, discriminant, distinctive and not very redundant. In fact, this approach selects the discriminant and distinctive spectral bands using the CBS technique injecting the extracted rules obtained with knowledge extraction techniques to automatically and adaptively select the optimal subset of relevant spectral bands. The performance of our approach is evaluated using several real hyperspectral data
Evmenova, Anna S. "Lights! Camera! Captions! The effects of picture and/or word captioning adaptations, alternative narration, and interactive features on video comprehension by students with intellectual disabilities /." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3071.
Full textVita: p. 388. Thesis director: Michael M. Behrmann. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Education. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 349-387). Also issued in print.
Tomashenko, Natalia. "Speaker adaptation of deep neural network acoustic models using Gaussian mixture model framework in automatic speech recognition systems." Thesis, Le Mans, 2017. http://www.theses.fr/2017LEMA1040/document.
Full textDifferences between training and testing conditions may significantly degrade recognition accuracy in automatic speech recognition (ASR) systems. Adaptation is an efficient way to reduce the mismatch between models and data from a particular speaker or channel. There are two dominant types of acoustic models (AMs) used in ASR: Gaussian mixture models (GMMs) and deep neural networks (DNNs). The GMM hidden Markov model (GMM-HMM) approach has been one of the most common technique in ASR systems for many decades. Speaker adaptation is very effective for these AMs and various adaptation techniques have been developed for them. On the other hand, DNN-HMM AMs have recently achieved big advances and outperformed GMM-HMM models for various ASR tasks. However, speaker adaptation is still very challenging for these AMs. Many adaptation algorithms that work well for GMMs systems cannot be easily applied to DNNs because of the different nature of these models. The main purpose of this thesis is to develop a method for efficient transfer of adaptation algorithms from the GMM framework to DNN models. A novel approach for speaker adaptation of DNN AMs is proposed and investigated. The idea of this approach is based on using so-called GMM-derived features as input to a DNN. The proposed technique provides a general framework for transferring adaptation algorithms, developed for GMMs, to DNN adaptation. It is explored for various state-of-the-art ASR systems and is shown to be effective in comparison with other speaker adaptation techniques and complementary to them
Lamago, Merlin Ferdinand. "Réingénierie des fonctions des plateformes LMS par l'analyse et la modélisation des activités d'apprentissage : application à des contextes éducatifs avec fracture numérique." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0589/document.
Full textThe present research aims to model learning processes on Learning ManagementSystems (LMS) in a bid to maximize users’ efficiency. We came about this idea whilethinking over the possible ways of facilitating the use of LMS for teachers and learnersin countries affected by the digital divide. Drawing from that, the following question hasbeen stated: in a given learning context, how can we insert a Learning ManagementSystem that provides users with both easy handling and optimal using conditions? Thisissue raises the problem of LMS adaptability and suggests two levels of modeling: thelearning tool on one hand and the planned context of use on the other. To address thisissue of adaptability, we adopt a two-pronged approach including the functionalanalysis of LMS tools and the reengineering of user interfaces. The first step is todevelop an approach for the analysis of teaching and learning processes on LMS. Thisentails modeling common learning situations and cross-checking them with thefeatures available in LMS solutions. This preliminary work enabled to build a formalismfor LMS analysis which is referred to as the OCGPI approach (Organize-Collaborate-Guide-Produce-Inform). The second step proposes an adaptive reengineering of LMSbased on the context of use. This is namely an embedded configurator which adaptsthe working environment according to each use and each user. This tool aims at givingbeginners the possibility of acquainting themselves quickly with the virtual platform
Luo, Guoliang. "Segmentation de maillages dynamiques et son application pour le calcul de similarité." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAD026/document.
Full textWith an abundance of animation techniques available today, animated mesh has become a subject of various data processing techniques in Computer Graphics community, such as mesh segmentation and compression. Created from animation software or from motion capture data, a large portion of the animated meshes are deforming meshes, i.e. ordered sequences of static meshes whose topology is fixed (fixed number of vertices and fixed connectivity). Although a great deal of research on static meshes has been reported in the last two decades, the analysis, retrieval or compressions of deforming meshes remain as new research challenges. Such tasks require efficient representations of animated meshes, such as segmentation. Several spatial segmentation methods based on the movements of each vertex, or each triangle, have been presented in existing works that partition a given deforming mesh into rigid components. In this thesis, we present segmentation techniques that compute the temporal and spatio-temporal segmentation for deforming meshes, which both have not been studied before. We further extend the segmentation results towards the application of motion similarity measurement between deforming meshes. This may be significant as it solves the problem that cannot be handled by current approaches
Borelli, Helberth. "Uma linguagem de modelagem de domínio específico para linhas de produto de software dinâmicas." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/5893.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
Systems which involve adaptations due to context changes have the challenge of adapting software systems at runtime. This thesis adopts as proposal the adaptation of resources in the form of features, involving concepts of Feature Oriented Domain Analysis. A possible approach to develop systems based on adaptable features at runtime is the concept of Dynamic Software Product Line (DSPL), which can be implemented by Metamodels. The aim of this thesis is the development of a Domain Specific Modeling Language (DSML) for DSPL, designed from the construction of a metamodel for the development of DSPLs, which is divided in three metamodels: of features, of variabilities and of applications to derive products. The variabilities metamodel aims at modeling contracts that must negotiate the product adaptation to the features that may be present or not in the execution environment. Adaptations are based in state machines, which address changes of feature state or changes by transitions of equivalent features, in order to keep the execution of the software product. The developed DSML still plays the role of extending the constraints imposed by the metamodels, as well as to generate codes in general-purpose language based on modeling features, variabilities and applications. In order to validate the proposal, the DSML was used to model two DSPLs, including the derivation of products and the execution in a platform based in OSGi specification.
Sistemas que envolvem adaptação em decorrência de mudanças de contexto possuem como desafio a adaptação do sistema de software em tempo de execução. Esta dissertação adota como proposta a adaptação de recursos na forma de características, envolvendo o conceito de Análise de Domínio Orientada a Características. Uma abordagem para o desenvolvimento de sistemas baseados em características adaptáveis em tempo de execução é o conceito de Linha de Produto de Software Dinâmica (LPSD), o qual pode ser implementado por meio do desenvolvimento de Metamodelos. O objetivo desta dissertação é o desenvolvimento de uma Linguagem de Modelagem de Domínio Específico (do inglês, Domain Specific Modeling Language - DSML) para LPSD, concebida a partir da construção de um metamodelo para o desenvolvimento de LPSDs, o qual está dividido em três metamodelos: de características, de variabilidades e de aplicação para derivação de produtos. Em destaque, o metamodelo de variabilidade tem como objetivo a modelagem de contratos que devem negociar a adaptação dos produtos às características que poderão estar ou não presentes no ambiente de execução. As adaptações são baseadas em máquinas de estado, as quais abordam a mudança de estado de uma característica ou a mudança por transição de características equivalentes, com o intuito de manter a execução do produto de software. A DSML desenvolvida tem ainda o papel de estender as restrições impostas pelos metamodelos, assim como gerar códigos em linguagem de propósito geral com base na modelagem de características, variabilidades e aplicações. No sentido de validar a proposta, a DSML foi usada para a modelagem de duas LPSDs, incluindo a derivação de produtos e a execução em uma plataforma baseada na especificação OSGi.
Kachouri, Rostom. "Classification multi-modèles des images dans les bases Hétérogènes." Phd thesis, Université d'Evry-Val d'Essonne, 2010. http://tel.archives-ouvertes.fr/tel-00526649.
Full textFerreira, Leite Alessandro. "A user-centered and autonomic multi-cloud architecture for high performance computing applications." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112355/document.
Full textCloud computing has been seen as an option to execute high performance computing (HPC) applications. While traditional HPC platforms such as grid and supercomputers offer a stable environment in terms of failures, performance, and number of resources, cloud computing offers on-Demand resources generally with unpredictable performance at low financial cost. Furthermore, in cloud environment, failures are part of its normal operation. To overcome the limits of a single cloud, clouds can be combined, forming a cloud federation often with minimal additional costs for the users. A cloud federation can help both cloud providers and cloud users to achieve their goals such as to reduce the execution time, to achieve minimum cost, to increase availability, to reduce power consumption, among others. Hence, cloud federation can be an elegant solution to avoid over provisioning, thus reducing the operational costs in an average load situation, and removing resources that would otherwise remain idle and wasting power consumption, for instance. However, cloud federation increases the range of resources available for the users. As a result, cloud or system administration skills may be demanded from the users, as well as a considerable time to learn about the available options. In this context, some questions arise such as: (a) which cloud resource is appropriate for a given application? (b) how can the users execute their HPC applications with acceptable performance and financial costs, without needing to re-Engineer the applications to fit clouds' constraints? (c) how can non-Cloud specialists maximize the features of the clouds, without being tied to a cloud provider? and (d) how can the cloud providers use the federation to reduce power consumption of the clouds, while still being able to give service-Level agreement (SLA) guarantees to the users? Motivated by these questions, this thesis presents a SLA-Aware application consolidation solution for cloud federation. Using a multi-Agent system (MAS) to negotiate virtual machine (VM) migrations between the clouds, simulation results show that our approach could reduce up to 46% of the power consumption, while trying to meet performance requirements. Using the federation, we developed and evaluated an approach to execute a huge bioinformatics application at zero-Cost. Moreover, we could decrease the execution time in 22.55% over the best single cloud execution. In addition, this thesis presents a cloud architecture called Excalibur to auto-Scale cloud-Unaware application. Executing a genomics workflow, Excalibur could seamlessly scale the applications up to 11 virtual machines, reducing the execution time by 63% and the cost by 84% when compared to a user's configuration. Finally, this thesis presents a product line engineering (PLE) process to handle the variabilities of infrastructure-As-A-Service (IaaS) clouds, and an autonomic multi-Cloud architecture that uses this process to configure and to deal with failures autonomously. The PLE process uses extended feature model (EFM) with attributes to describe the resources and to select them based on users' objectives. Experiments realized with two different cloud providers show that using the proposed model, the users could execute their application in a cloud federation environment, without needing to know the variabilities and constraints of the clouds
Fang, Chao-Chi, and 方肇基. "Speech Recognition by Dynamic Adaptation of Speaker Feature." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/75694878163906105604.
Full text中原大學
資訊工程研究所
94
This research uses Mel-Frequency Cepstrum Coefficients as the characteristic parameter at voice signal level. And making use of Discrete Hidden Markov Model constructs the monosyllabic model related to the speaker. After accumulating certain amounts of speaker models, we can dynamically generate a speaker model to nonspecific speaker by adopting the characteristic of the speaker, and execute the recognition of syllable cuttings and syllable models by continuing utilizing One Stage Dynamic Processing Algorithm. For the adoption of the speaker's pronunciation characteristic, we can get the general model parameters and transfer matrixes by utilizing Maximum Likelihood Linear Regression during training process and record each speaker's specific model and skew vector of the model. When using voice recognition of nonspecific speakers, we can use the identical method to get the skew vector of the model and get the speaker's feature vector by further utilizing the method of least square. Comparing the other method of the speaker's adoption before, this research propose a speaker's characteristic dynamic adoption method which can get higher operation efficiency and favorable to the execution of real time recognition. The implementation of programming is also utilizing the time division multiplexing property of operation system to process the characteristic fetch, analysis, build optimum model and recognition simultaneously when pronouncing. We can get up to 80.16% recognition rate when applying in continuous voice of monosyllabic recognition and 92.13% by further applying a keyword model.
Chen, Chia-Hsin, and 陳佳欣. "Mandarin Syllable Recognition Based on Landmark Knowledge and Dynamic Feature Adaptation." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/35990480683718161884.
Full text國立臺灣大學
電機工程學系
85
For speech recognition research, there are two main approaches. One isknowledge based approach, the other is statistics approach. In this thesis,landmark knowledge is included into a statistics based system to enhance theperformance of the system. In the fist part of the thesis, landmark detection algorithm is developed.From the experiment result, the detection rate is higher than 88% for the 3test speakers. In the second part of the thesis, landmark knowledge is included to improvethe initial modeling. For the conventional method, uniform segmentation isused in initial segmentation. In this thesis, landmark knowledge is used tofind the initial-final boundary, uniform segmentation is then used to segmentthe initial and final respectively. The experiment result shows that theaccuracy can be improved from 63.79% to 65.72% for isolated syllable and from67.46% to 68.34% for continuous speech in speaker independent recognition. In the last part of the thesis, dynamic feature weighting is included intothe model parameters and GPD is used to adapt these parameters. The experimentresult shows that for speaker independent recognition, the accuracy can beimproved from 68.55% to 70.53% if dynamic feature weighting is adapted. Theaccuracy can be further improved to 75.37%, if mixture gain, mean andvariance are adapted in the same time.
Hung, Ying-Ning, and 洪穎寧. "A Domain Adaptation Method Based on Feature-disentangling Generative Adversarial Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/yft79s.
Full text國立臺灣海洋大學
資訊工程學系
107
The purpose of this thesis focuses on the domain adaptation effects of a specific feature-disentangling generative adversarial networks, in which the characteristics of handwritten digit images are disentangled into class and style features automatically. The class characteristics consist of primarily the invariant information relevant to distinguish ten digits and the style characteristics contain other information common to all images like colors, fonts, thickness, and angles, etc. The training algorithm extracts the class-relevant feature vectors directly from the training data with only class labels through adversarial learning strategies. Two handwritten digit datasets in quite different image domains, one in gray-level which is the main training data and the other in random color, are used to demonstrate the effects of domain adaptation. We show that the disentangling networks help a classifier acquire the generalization ability such that it is trained mainly on the first dataset but still recognizes the untrained class of digits of the second dataset.
Wu, Chun Hsin, and 吳俊欣. "A Speaker Adaptation Method Based on MFCC Feature Space Coordinate System Mapping." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/26805190317076600956.
Full text國立臺灣科技大學
資訊工程系
91
In this thesis, a speaker adaptation method is developed. This method needs only a small quantity of training utterances because the adaptation mechanism is operated on the level of MFCC feature parameter. First, an individual coordinate system is built for each new speaker in order that his MFCC feature vectors can be decomposed into coordinate coefficients of the system. Then, the coordinate coefficients are directly mapped as coefficients of the coordinate system for a target person. Even though this mechanism is simple, it can indeed obtain good adaptation performance. To verify the performance of our adaptation method, we have executed several recognition experiments under different conditions. The conditions are for different kinds of vocabularies, including sing-vowel vocabulary, multi-vowel vocabulary, nasal-containing syllable vocabulary and dissyllabic word vocabulary. In speaker non-adapted mode, the original recognition error rates are 30.3%, 20.7%, 38.3% and 21.3% respectively. However, in speaker adapted mode, the error rates are reduced to 3.3%, 9.8%, 22.5% and 12.3% respectively.
Mazloom, Reza. "Classification of Twitter disaster data using a hybrid feature-instance adaptation approach." Thesis, 2018. http://hdl.handle.net/2097/38872.
Full textDepartment of Computer Science
Doina Caragea
Huge amounts of data that are generated on social media during emergency situations are regarded as troves of critical information. The use of supervised machine learning techniques in the early stages of a disaster is challenged by the lack of labeled data for that particular disaster. Furthermore, supervised models trained on labeled data from a prior disaster may not produce accurate results. To address these challenges, domain adaptation approaches, which learn models for predicting the target, by using unlabeled data from the target disaster in addition to labeled data from prior source disasters, can be used. However, the resulting models can still be affected by the variance between the target domain and the source domain. In this context, we propose to use a hybrid feature-instance adaptation approach based on matrix factorization and the k-nearest neighbors algorithm, respectively. The proposed hybrid adaptation approach is used to select a subset of the source disaster data that is representative of the target disaster. The selected subset is subsequently used to learn accurate supervised or domain adaptation Naïve Bayes classifiers for the target disaster. In other words, this study focuses on transforming the existing source data to bring it closer to the target data, thus overcoming the domain variance which may prevent effective transfer of information from source to target. A combination of selective and transformative methods are used on instances and features, respectively. We show experimentally that the proposed approaches are effective in transferring information from source to target. Furthermore, we provide insights with respect to what types and combinations of selections/transformations result in more accurate models for the target.
Chien, Yu-Lin, and 簡友琳. "Machine Learning Based Rate Adaptation with Elastic Feature Selection for HTTP-Based Streaming." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/59932945918614891709.
Full text國立臺灣大學
電機工程學研究所
103
Dynamic Adaptive Streaming over HTTP (DASH) has become an emerging application nowadays. Video rate adaptation is a key to determine the video quality of HTTP-based media streaming. Recent works have proposed several algorithms that allow a DASH client to adapt its video encoding rate to network dynamics. While network conditions are typically affected by many different factors, these algorithms however usually consider only a few representative information, e.g., predicted available bandwidth or fullness of its playback buffer. In addition, the error in bandwidth estimation could significantly degrade their performance. Therefore, this paper presents Machine- Learning-based Adaptive Streaming over HTTP (MLASH), an elastic framework that exploits a wide range of useful network-related features to train a rate classification model. The distinct properties of MLASH are that its machine-learning-based framework can be incorporated with any existing adaptation algorithm and utilize big data characteristics to improve prediction accuracy. We show via trace-based simulations that machine-learning-based adaptation can achieve a better performance than traditional adaptation algorithms in terms of their target quality of experience (QoE) metrics.
Prabuchandran, K. J. "Feature Adaptation Algorithms for Reinforcement Learning with Applications to Wireless Sensor Networks And Road Traffic Control." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2664.
Full textPeng, Xingchao. "Domain adaptive learning with disentangled features." Thesis, 2020. https://hdl.handle.net/2144/42065.
Full textNemri, Abdellatif. "Codage de l’information visuelle par la plasticité et la synchronisation des réponses neuronales dans le cortex visuel primaire du chat." Thèse, 2010. http://hdl.handle.net/1866/4756.
Full textSensory systems encode information about our environment into electrical impulses that propagate in networks of neurons. Understanding the neural code – the principles by which information is represented in neuronal activity – is one of the most fundamental issues in neuroscience. This thesis investigates in a series of 3 studies (S) two coding mechanisms, synchrony and adaptation, in neurons of the cat primary visual cortex (V1). In V1, neurons display selectivity for image features such as contour orientation, motion direction and velocity. Each neuron has at least one combination of features that elicits its maximum firing rate. Visual information is thus distributed among numerous neurons within and across cortical columns, modules and areas. Synchronized electrical activity between cells was proposed as a potential mechanism underlying the binding of related features to form coherent perception. However, the precise nature of the relations between image features that may elicit neuronal synchrony remains unclear (S1). In another coding strategy, sensory neurons display transient changes of their response properties following prolonged exposure to an appropriate stimulus (adaptation). In adult cat V1, orientation-selective neurons shift their preferred orientation after being exposed to a non-preferred orientation. How the adaptive behavior of a neuron is related to that of its neighbors remains unclear (S2). Finally, we investigated the relationship between synchrony and orientation tuning in neuron pairs, especially how synchrony is modulated during adaptation-induced plasticity (S3). Main results — (S1) We show that two stimuli in either convergent or divergent motion elicit significantly more synchrony in V1 neuron pairs than two stimuli with the same motion direction. Synchronization seems to encode the relation of cocircularity, of which convergent (centripetal) and divergent (centrifugal) motion are two special instances, and could thus play a role in contour integration. Our results suggest that V1 neuron pairs transmit specific information on distinct image configurations through stimulus-dependent synchrony of their action potentials. (S2) We show that after being adapted to a non-preferred orientation, cells shift their preferred orientation in the same direction as their neighbors in most cases (75%). Several response properties of V1 neurons depend on their location within the cortical orientation map. The differences we found between cell clusters that shift in the same direction and cell clusters with both attractive and repulsive shifts suggest a different cortical location, iso-orientation domains for the former and pinwheel centers for the latter. (S3) We found that after adaptation, neuron pairs that share closer tuning properties display a significant increase of synchronization. Recovery from adaptation is accompanied by a return to the initial synchrony level. Synchrony therefore seems to reflect the similarity in neurons’ response properties, and varies accordingly when these properties change. Conclusions — This thesis further advances our understanding of how visual neurons adapt to a changing environment, especially regarding cortical network dynamics. We also propose novel data about the potential role of synchrony. Especially, synchrony appears capable of binding various features, whether similar or dissimilar, suggesting superimposed neural assemblies.
Hu, Shu-E., and 胡淑娥. "The relationship of cognitive features, coping, and adaptation in rheumatoid arthritis patients." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/vpx4m7.
Full text中原大學
心理學研究所
93
ABSTRACT Derived the concepts of self-regulation and positive psychology, this study purposed to establish a hypothetical model about the coping and adaptation of the rheumatoid arthritis patients, and to examine the relations among four groups of variables of this model, which are expectation discrepancy, cognitive expectancy, coping types and adaptational outcomes. The study has been divided into three stages, Firstly, using analysis semistructure questions by interviewed with the rheumatoid arthritis patients, the researcher compiled two questionnaires, the Expectation Discrepancy Questionnaire and the Coping Questionnaire. Secondly, a preliminary study which was purposed to revise and validate these two questionnaires . Thirdly , a final study which involving 171 rheumatoid arthritis patients , 21 males and 150 females were scheduled. Five measurements including the Expectation Discrepancy Questionnaire, the Expectancy Appraisal Questionnaire, the Coping Questionnaire, the Rheumatoid Arthritis Quality of Life Questionnaire and the Positive-Negative Affect schedule were used to test our hypothesis. As the proposed model predicted that the coping types via various paths could have mediatory effects, the results of the study come out that the give up coping type has played mediatory effect when using these variables such as certainty expectancy, cognitive discrepancy of finance , dignity , career and interpersonal relationship predict the participants’ quality of life . Give up also appears a mediatory feature when using these variables such as certainty expectancy, cognitive discrepancy of finance and dignity predict the quality of life . Additionally, proactive coping type also demonstrates mediatory effect when using positive expectation predict the adaptation of the positive affect. Discrepancy of dignity also appears to be a mediator when the certainty expectancy can predict the give up coping. Furtherly, cognitive expectancy specially appears mediatory feature when using cognitive discrepancy variables predict adjust aim, proactive ,quality of life and negative affect. As focused on general stress by most previous studies, this study specially considered the chronic characteristics of the rheumatoid arthritis patients, from our regulational model took variables such as cognitive features, proactive coping take into the coping and adaptation model. The results of the study have demonstrated that the coping types and cognitive expectancy seem to play both important mediator and protective role for the rheumatoid arthritis patients, although they could also be aware of their own cognitive discrepancies. It is seemed that proper cognition and behavioral intervention provided by professionals of health psychology could help rheumatoid arthritis patients for better adaptation.
Barrowman, Hannah M. "Assessing emerging governance features for community-based adaptation in Timor-Leste and Indonesia: What works and why?" Phd thesis, 2018. http://hdl.handle.net/1885/149421.
Full textRegel, Diemut. "Complex Dynamics Enabled by Basic Neural Features." Doctoral thesis, 2019. http://hdl.handle.net/21.11130/00-1735-0000-0005-13D9-1.
Full textVan, Jaarsveld Ernst Jacobus. "Cremnophilous succulents of southern Africa : diversity, structure and adaptations." Thesis, 2012. http://hdl.handle.net/2263/25107.
Full textThesis (PhD)--University of Pretoria, 2012.
Plant Science
unrestricted
彭祥恩. "A tracking system with features of fuzzy contour control and feed adaptation for hybrid motion platform." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/43549000155439127251.
Full text國立交通大學
機械工程系所
92
In machining there is a continuous effort in pursuing high speed and high precision. The purpose of this work is to improve the precision of the tracking scheme “multi-axis cross-coupled pre-compensation method (MCCPM)” by adoption of some proven features. The tracking method is implemented on a hybrid motion platform which is a combination of Stewart platform and X-Y table. One feature adopted is the adaptation of feeding speed with respect to the curvature of the trajectory being tracked; another feature is Fuzzy Logic Controller for dealing with contour errors. It has been shown that the incarnation of these two features in the MCCPM has improved the precision of tracking.
Лисенко, Олександра Юріївна. "Соціально-психологічні чинники адаптації першокласників в умовах нової української школи." Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/1765.
Full textUA : Робота викладена на 99 сторінках, 10 таблиць, 2 додатка. Перелік посилань включає 52 джерела. Об’єкт дослідження: процес адаптації першокласників. Нова українська школа - це головна реформа Міністерства освіти і науки, розпочата в останні роки і запланована на десятиліття вперед. Її ключова мета - створити школу, «в якій буде приємно вчитися і яка буде давати учням не тільки знання, як це відбувається зараз, а й уміння застосовувати їх в життя». Коли дитина вступає до першого класу змінюється його життя все починає підпорядковуватися навчанню, шкільним справам, школі. Адаптація – важливий етап в житті маленьких школярів, тому що саме в цей період життя першокласник освоює і приймає шкільні норми, формується інтерес до шкільного навчання, з’являється віра в свої сили, діти стають дорослішими.. Наукова новизна роботи полягає в тому, що вперше теоретико – емпіричним шляхом було встановлено, що успішна адаптація дитини до школи залежить від допомоги батьків та вчителів.
EN : The work is set out on 99 pages, 10 tables, 2 appendices. The list of links includes 52 sources. Object of study: the process of adaptation of first graders. The new Ukrainian school is a major reform of the Ministry of Education and Science, started in recent years and planned for decades to come. Its key goal is to create a school "that will be enjoyable to learn and that will give students not only the knowledge as it is now, but also the ability to apply them to life." When a child enters the first grade, his life changes, everything begins to be subordinate to school, school, and school. Adaptation is an important stage in the life of young students, because it is during this period of life that the first-grader learns and adopts school rules, an interest in schooling is formed, there is a belief in their own strength, children become adults .. The scientific novelty of the work is that for the first time, it has been established empirically that successful adaptation of a child to school depends on the assistance of parents and teachers.
Бельмега, Ірина Василівна. "Вплив акцентуйованих рис характеру на виникнення стану соціально-психологічної дезадаптації у військовослужбовців НТУ." Магістерська робота, 2020. https://dspace.znu.edu.ua/jspui/handle/12345/2133.
Full textUA : Робота викладена на 102 сторінки, 7 таблиць, 1 малюнок, 5 додатків. Перелік посилань включає 57 джерел. Об’єкт дослідження: соціально-психологічна адаптація військовослужбовців. В усіх сферах сучасного суспільства зміни вимагають від кожної особистості все більш високого рівня соціальної та індивідуальної компетентності, здатності до самоорганізації в усіх видах життєдіяльності. Проблема адаптації військовослужбовців до умов служби завжди була в полі зору дослідників, проте особливий інтерес до даної теми, випливає зі специфіки та високої соціальної значимості діяльності людей щодо захисту державних інтересів і безпеки країни. Саме тому ця діяльність досі привертає особливу увагу дослідників різних наукових напрямків. Стан психічного здоров'я юнаків до призовного та призовного віку – одна з медико-соціальних проблем комплектування Національної гвардії України. На сучасному етапі досі постають важливі проблеми погіршення адаптації молодих воїнів в перші місяці служби в Національній гвардії та зниження готовності юнаків до служби.. Наукова новизна кваліфікаційної роботи полягає в тому, що визначено чинники розвитку деструктивних акцентуацій саме для військовослужбовців строкової служби НГУ; удосконалено уявлення про вплив акцентуацій характеру на діяльність в особливих умовах життєдіяльності.
EN : The work is spread over 102 pages, 7 tables, 1 figure, 5 appendices. The list of links includes 57 sources. Object of study: social and psychological adaptation of servicemen. In all spheres of modern society, changes require each individual to have a higher level of social and individual competence, the ability to organize himself in all kinds of life. The problem of adaptation of military personnel to the conditions of service has always been in the field of view of researchers, but the particular interest in this topic stems from the specificity and high social importance of people's activities in the protection of state interests and security of the country. That is why this activity still attracts the special attention of researchers from different scientific fields. The state of mental health of young men before the draft and draft age is one of the medical and social problems of manning the National Guard of Ukraine. At the present stage, significant problems still arise in the worsening of young soldiers' adaptation in the first months of service in the National Guard and in the reduction of young men's readiness for service. the idea of the influence of character accentuation on activity in special conditions of life is improved.
Pinto, Pedro Miguel Sequeira. "Influência dos tipos de preparações em restaurações dento-suportadas." Master's thesis, 2019. http://hdl.handle.net/10284/9034.
Full textOral rehabilitation by fixed prothesis is becoming a more often used solution by dentists. From this, comes the need to prepare the tooth to receive the restauration. Before the decision on the type of preparation to be used and location of the finishing line, there must be a study of the condition and case possibilities. For this, it's essential to understand what are the situations that each type of preparation is suited for, based on scientific evidence, in order to reach clinical success. Therefore, it's indispensable to have the knowledge on the influence of each one of these types, specifically on the periodontal parameters – plaque index, gingival index, probe depth and bleeding on probe – and its consequent tissue histological response.