Дисертації з теми "Models of adaptation"
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Pennings, Pleuni. "Models of adaptation and speciation." Diss., lmu, 2007. http://nbn-resolving.de/urn:nbn:de:bvb:19-66567.
Повний текст джерелаWallin, Johan. "Dose Adaptation Based on Pharmacometric Models." Doctoral thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-100569.
Повний текст джерелаXu, Jiaolong. "Domain adaptation of deformable part-based models." Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/290266.
Повний текст джерелаLa detección de peatones es crucial para los sistemas de asistencia a la conducción (ADAS). Disponer de un clasificador preciso es fundamental para un detector de peatones basado en visión. Al entrenar un clasificador, se asume que las características de los datos de entrenamiento siguen la misma distribución de probabilidad que las de los datos de prueba. Sin embargo, en la práctica, esta asunción puede no cumplirse debido a diferentes causas. En estos casos, en la comunidad de visión por computador cada vez es más común utilizar técnicas que permiten adaptar los clasificadores existentes de su entorno de entrenamiento (dominio de origen) al nuevo entorno de prueba (dominio de destino). En esta tesis nos centramos en la adaptación de dominio de los detectores de peatones basados en modelos deformables basados en partes (DPMs). Como prueba de concepto, usamos como dominio de origen datos sintéticos (mundo virtual) y adaptamos el detector DPM entrenado en el mundo virtual para funcionar en diferentes escenarios reales. Comenzamos explotando al máximo las capacidades de detección del DPM entrenado en datos del mundo virtual pero, aun así, al aplicarlo a diferentes conjuntos del mundo real, el detector todavía pierde poder de discriminaci ón debido a las diferencias entre el mundo virtual y el real. Es por ello que nos centramos en la adaptación de dominio del DPM. Para comenzar, consideramos un único dominio de origen para adaptarlo a un único dominio de destino mediante dos métodos de aprendizaje por lotes, el A-SSVM y SA-SSVM. Después, lo ampliamos a trabajar con múltiples (sub-)dominios mediante una adaptación progresiva usando una jerarquía adaptativa basada en SSVM (HA-SSVM) en el proceso de optimización. Finalmente, extendimos HA-SSVM para conseguir un detector que se adapte de forma progresiva y sin intervención humana al dominio de destino. Cabe destacar que ninguno de los métodos propuestos en esta tesis requieren visitar los datos del dominio de origen. La evaluación de los resultados, realizadas con el sistema de evaluación de Caltech, muestran que el SA-SSVM mejora ligeramente respecto al A-SSVM y mejora en 15 puntos respecto al detector no adaptado. El modelo jerárquico entrenado mediante el HA-SSVM todavía mejora más los resultados de la adaptación de dominio. Finalmente, el método secuencial de adaptación de domino ha demostrado que puede obtener resultados comparables a la adaptación por lotes pero sin necesidad de etiquetar manualmente ningún ejemplo del dominio de destino. La adaptación de domino aplicada a la detección de peatones es de gran importancia y es un área que se encuentra relativamente sin explorar. Deseamos que esta tesis pueda sentar las bases del trabajo futuro en esta área.
On-board pedestrian detection is crucial for Advanced Driver Assistance Systems (ADAS). An accurate classi cation is fundamental for vision-based pedestrian detection. The underlying assumption for learning classi ers is that the training set and the deployment environment (testing) follow the same probability distribution regarding the features used by the classi ers. However, in practice, there are di erent reasons that can break this constancy assumption. Accordingly, reusing existing classi ers by adapting them from the previous training environment (source domain) to the new testing one (target domain) is an approach with increasing acceptance in the computer vision community. In this thesis we focus on the domain adaptation of deformable part-based models (DPMs) for pedestrian detection. As a prof of concept, we use a computer graphic based synthetic dataset, i.e. a virtual world, as the source domain, and adapt the virtual-world trained DPM detector to various real-world dataset. We start by exploiting the maximum detection accuracy of the virtual-world trained DPM. Even though, when operating in various real-world datasets, the virtualworld trained detector still su er from accuracy degradation due to the domain gap of virtual and real worlds. We then focus on domain adaptation of DPM. At the rst step, we consider single source and single target domain adaptation and propose two batch learning methods, namely A-SSVM and SA-SSVM. Later, we further consider leveraging multiple target (sub-)domains for progressive domain adaptation and propose a hierarchical adaptive structured SVM (HA-SSVM) for optimization. Finally, we extend HA-SSVM for the challenging online domain adaptation problem, aiming at making the detector to automatically adapt to the target domain online, without any human intervention. All of the proposed methods in this thesis do not require revisiting source domain data. The evaluations are done on the Caltech pedestrian detection benchmark. Results show that SA-SSVM slightly outperforms A-SSVM and avoids accuracy drops as high as 15 points when comparing with a non-adapted detector. The hierarchical model learned by HA-SSVM further boosts the domain adaptation performance. Finally, the online domain adaptation method has demonstrated that it can achieve comparable accuracy to the batch learned models while not requiring manually label target domain examples. Domain adaptation for pedestrian detection is of paramount importance and a relatively unexplored area. We humbly hope the work in this thesis could provide foundations for future work in this area.
Pirrotta, Elizabeth. "Testing chromatic adaptation models using object colors /." Online version of thesis, 1994. http://hdl.handle.net/1850/11674.
Повний текст джерелаNikolaidis, Stefanos. "Mathematical Models of Adaptation in Human-Robot Collaboration." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1121.
Повний текст джерелаAcosta, Padilla Francisco Javier. "Self-adaptation for Internet of things applications." Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S094/document.
Повний текст джерелаThe Internet of Things (IoT) is covering little by little every aspect on our lives. As these systems become more pervasive, the need of managing this complex infrastructure comes with several challenges. Indeed, plenty of small interconnected devices are now providing more than a service in several aspects of our everyday life, which need to be adapted to new contexts without the interruption of such services. However, this new computing system differs from classical Internet systems mainly on the type, physical size and access of the nodes. Thus, typical methods to manage the distributed software layer on large distributed systems as usual cannot be employed on this context. Indeed, this is due to the very different capacities on computing power and network connectivity, which are very constrained for IoT devices. Moreover, the complexity which was before managed by experts on several fields, such as embedded systems and Wireless Sensor Networks (WSN), is now increased by the larger quantity and heterogeneity of the node’s software and hardware. Therefore, we need efficient methods to manage the software layer of these systems, taking into account the very limited resources. This underlying hardware infrastructure raises new challenges in the way we administrate the software layer of these systems. These challenges can be divided into: intra-node, on which we face the limited memory and CPU of IoT nodes, in order to manage the software layer and ; inter-node, on which a new way to distribute the updates is needed, due to the different network topology and cost in energy for battery powered devices. Indeed, the limited computing power and battery life of each node combined with the very distributed nature of these systems, greatly adds complexity to the distributed software layer management. Software reconfiguration of nodes in the Internet of Things is a major concern for various application fields. In particular, distributing the code of updated or new software features to their final node destination in order to adapt it to new requirements, has a huge impact on energy consumption. Most current algorithms for disseminating code over the air (OTA) are meant to disseminate a complete firmware through small chunks and are often implemented at the network layer, thus ignoring all guiding information from the application layer. First contribution: A models@runtime engine able to represent an IoT running application on resource constrained nodes. The transformation of the Kevoree meta-model into C code to meet the specific memory constraints of an IoT device was performed, as well as the proposition of modelling tools to manipulate a model@runtime. Second contribution: Component decoupling of an IoT system as well as an efficient component distribution algorithm. Components decoupling of an application in the context of the IoT facilitates its representation on the model@runtime, while it provides a way to easily change its behaviour by adding/removing components and changing their parameters. In addition, a mechanism to distribute such components using a new algorithm, called Calpulli is proposed
Gurdamar, Emre. "Adaptation Of Turbulence Models To A Navier-stokes Solver." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606568/index.pdf.
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models, having different correlations, constants and boundary conditions are selected to be adapted into the base solver. The basic equations regarding the base Navier-Stokes solver to which the turbulence models are implemented presented by briefly explaining the outputs obtained from the solver. Numerical work regarding the implementation of turbulence models into the base solver is given in steps of non-dimensionalization, transformation of equations into generalized coordinate system, numerical scheme, discretization, boundary and initial conditions and limitations. These sections of implementation are investigated and presented in detail with providing every steps of work accomplished. Certain trial problems are solved and outputs are compared with experimental data. Solutions for fluid flow over flat plate, in free shear, over cylinder and airfoil are demonstrated. Airfoil validation test cases are analyzed in detail. For three dimensional applications, computation of flow over a wing is accomplished and pressure distributions from certain sections are compared with experimental data.
Clarkson, P. R. "Adaptation of statistical language models for automatic speech recognition." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597745.
Повний текст джерелаBaptista, Adérito Herculano Sarmento. "Dynamic adaptation of interaction models for stateful web services." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/12042.
Повний текст джерелаWireless Sensor Networks (WSNs) are accepted as one of the fundamental technologies for current and future science in all domains, where WSNs formed from either static or mobile sensor devices allow a low cost high-resolution sensing of the environment. Such opens the possibility of developing new kinds of crucial applications or providing more accurate data to more traditional ones. For instance, examples may range from large-scale WSNs deployed on oceans contributing to weather prediction simulations; to high number of diverse Sensor devices deployed over a geographical area at different heights from the ground for collecting more accurate data for cyclic wildfire spread simulations; or to networks of mobile phone devices contributing to urban traffic management via Participatory Sensing applications. In order to simplify data access, network parameterisation, and WSNs aggregation, WSNs have been integrated in Web environments, namely through high level standard interfaces like Web services. However, the typical interface access usually supports a restricted number of interaction models and the available mechanisms for their run-time adaptation are still scarce. Nevertheless, applications demand a richer and more flexible control on interface accesses – e.g. such accesses may depend on contextual information and, consequently, may evolve in time. Additionally, Web services have become increasingly popular in the latest years, and their usage led to the need of aggregating and coordinating them and also to represent state in between Web services invocations. Current standard composition languages for Web services (wsbpel,wsci,bpml) deal with the traditional forms of service aggregation and coordination, while WS-Resource framework (wsrf) deals with accessing services pertaining state concerns (relating both executing applications and the runtime environment). Subjacent to the notion of service coordination is the need to capture dependencies among them (through the workflow concept, for instance), reuse common interaction models, e.g. embodied in common behavioural Patterns like Client/Server, Publish/- Subscriber, Stream, and respond to dynamic events in the system (novel user requests, service failures, etc.). Dynamic adaptation, in particular, is a pressing requirement for current service-based systems due to the increasing trend on XaaS ("everything as a service") which promises to reduce costs on application development and infrastructure support, as is already apparent in the Cloud computing domain. Therefore, the self-adaptive (or dynamic/adaptive) systems present themselves as a solution to the above concerns. However, since they comprise a vast area, this thesis only focus on self-adaptive software. Concretely, we propose a novel model for dynamic interactions, in particular with Stateful Web Services, i.e. services interfacing continued activities. The solution consists on a middleware prototype based on pattern abstractions which may be able to provide (novel) richer interaction models and a few structured dynamic adaptation mechanisms, which are captured in the context of a "Session" abstraction. The middleware was implemented and uses a pre-existent framework supporting Web enabled access to WSNs, and some evaluation scenarios were tested in this setting. Namely, this area was chosen as the application domain that contextualizes this work as it contributes to the development of increasingly important applications needing highresolution and low cost sensing of environment. The result is a novel way to specify richer and dynamic modes of accessing and acquiring data generated by WSNs.
Este trabalho foi parcialmente financiado pelo Centro de Informática e Tecnologias da Informação (CITI), e pela Fundação para a Ciência e a Tecnologia (FCT / MCTES) em projectos de investigação
Ahadi-Sarkani, Seyed Mohammad. "Bayesian and predictive techniques for speaker adaptation." Thesis, University of Cambridge, 1996. https://www.repository.cam.ac.uk/handle/1810/273100.
Повний текст джерелаPaule, Inès. "Adaptation of dosing regimen of chemotherapies based on pharmacodynamic models." Phd thesis, Université Claude Bernard - Lyon I, 2011. http://tel.archives-ouvertes.fr/tel-00846454.
Повний текст джерелаNanduri, Chandra Sekhara Srinivas. "Platform business models : incumbent adaptation perspectives subsequent to discontinuous changes." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/80492.
Повний текст джерелаMini Dissertation (MPhil)--University of Pretoria, 2020.
Gordon Institute of Business Science (GIBS)
MPhil
Unrestricted
Xu, Brian(Brian W. ). "Combating fake news with adversarial domain adaptation and neural models." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121689.
Повний текст джерелаThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 77-80).
Factually incorrect claims on the web and in social media can cause considerable damage to individuals and societies by misleading them. As we enter an era where it is easier than ever to disseminate "fake news" and other dubious claims, automatic fact checking becomes an essential tool to help people discern fact from fiction. In this thesis, we focus on two main tasks: fact checking which involves classifying an input claim with respect to its veracity, and stance detection which involves determining the perspective of a document with respect to a claim. For the fact checking task, we present Bidirectional Long Short Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN) based models and conduct our experiments on the LIAR dataset [Wang, 2017], a recently released fact checking task. Our model outperforms the state of the art baseline on this dataset. For the stance detection task, we present bag of words (BOW) and CNN based models in hierarchy schemes. These architectures are then supplemented with an adversarial domain adaptation technique, which helps the models overcome dataset size limitations. We test the performance of these models by using the Fake News Challenge (FNC) [Pomerleau and Rao, 2017], the Fact Extraction and VERification (FEVER) [Thorne et al., 2018], and the Stanford Natural Language Inference (SNLI) [Bowman et al., 2015] datasets. Our experiments yielded a model which has state of the art performance on FNC target data by using FEVER source data coupled with adversarial domain adaptation [Xu et al., 2018].
by Brian Xu.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Haith, Adrian. "Computational models of motor adaptation under multiple classes of sensorimotor disturbance." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3973.
Повний текст джерелаStreilein, Andrea Susan. "Making sense of change : how place-specific cultural models and experiential influencers are shaping understandings of climate change in two BC coastal communities." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2647.
Повний текст джерелаAlgeri, Soliman. "Representation and adaptation of high level object-oriented models for reuse." Thesis, University of Liverpool, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366676.
Повний текст джерелаEisenbarth, Thomas [Verfasser], and Bernhard [Akademischer Betreuer] Bauer. "Semantic Process Models: Transformation, Adaptation, Resource Consideration / Thomas Eisenbarth. Betreuer: Bernhard Bauer." Augsburg : Universität Augsburg, 2014. http://d-nb.info/1077703414/34.
Повний текст джерелаSaman, Nariman Goran. "A Framework for Secure Structural Adaptation." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-78658.
Повний текст джерелаReimann, Thomas. "Adaptation of Numerical Modeling Approaches for Karst Aquifer Characterization." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-108404.
Повний текст джерелаKarstgrundwasserleiter können als duale Fließsysteme konzeptionalisiert werden, bestehend aus einer geringdurchlässigen Matrix mit eingebundenen hochdurchlässigen Bereichen, z. B. Karströhren. Der Abfluss in den hochdurchlässigen Bereichen reicht von langsamer laminarer Strömung bis zu schneller turbulenter Strömung. Herkömmliche numerische Grundwasser-strömungsmodelle berücksichtigen nicht die spezifischen Eigenschaften von nicht-laminarer Strömung (Übergangsbereich laminar-turbulent bzw. turbulente Verhältnisse). Ein Ansatz um diese Einschränkung zu umgehen, ist die Erweiterung des laminaren Kontinuums um ein dis-kretes Röhrenmodell, das zustandsabhängig laminare und turbulente Strömung berücksichtigt (Hybridmodell). Eine aktuelle Umsetzung dieses Ansatzes ist Conduit Flow Process (CFP), ein Modul für das weitverbreitete Grundwasserströmungsmodell MODFLOW. CFP Mode 1 (CFPM1) berechnet laminare und turbulente Strömung in diskreten, mit dem Kontinuummodell gekoppelten Röhren. CFP Mode 2 (CFPM2) berücksichtigt nicht-laminare Strömung in hochdurchlässigen Schichten mit einer angepassten hydraulischen Leitfähigkeit des Kontinuummodells. CFPM2 wurde weiter modifiziert, so dass auch turbulente Strömung in Karströhren berechnet werden kann. Dadurch kann möglicherweise der Parameterbedarf sowie der Rechenaufwand gegenüber Hybrid¬modellen reduziert werden. CFPM2 lässt sich einfach in vorhandene MODFLOW Modelle einbinden, z. B. zur Berechnung von Transportprozessen. Parameterstudien für ein idealisiertes Karsteinzugsgebiet zeigen, dass Kontinuummodelle bei Berücksichtigung der turbulenten Strömung sowie des zusätzlichen hydraulischen Widerstand zwischen Röhren und Matrix, Karstsysteme ähnlich wie Hybridmodelle darstellen. Zur Simulation von instationären Prozessen in Karströhren, z. B. ausgeprägte Abflusssignale infolge pulsförmiger Grundwasserneubildung, ist es notwendig, dynamische Prozesse infolge Freispiegelabfluss, Wellenausbreitung sowie Wechsel zwischen Abfluss in teil- und vollgefüllten Röhren zu berücksichtigen. Aus diesem Grund wurde das numerische Modell MODBRANCH, welches ein diskretes Oberflächenwassermodell mit einem Kontinuummodell koppelt, so angepasst, dass instationäre und nichtgleichförmige Abflussprozesse in Karströhren berücksichtigt werden können. Der Abfluss in diskreten Röhren wird dabei mit den Saint-Venant-Gleichungen für Freispiegelabfluss berechnet. Im Gegensatz zu Oberflächengewässern ist der für den Abfluss zur Verfügung stehende Querschnitt in Karströhren limitiert, so dass sowohl Freispiegel- als auch Druckabfluss innerhalb der Röhren auftreten kann. Druckabfluss wird mit Hilfe eines schmalen virtuellen Schlitzes an der Röhrenoberkante simuliert (Preissmann Schlitz), der auch im Fall vollgefüllter Röhren die Anwendung der Gleichungen für Freispiegelabfluss erlaubt. Durch die Verwendung eines variablen Zeitschrittes kann die geänderte Dynamik beim Übergang von Freispiegel- zu Druckabfluss berücksichtigt werden. Parameterstudien für idealisierte, synthetische Karsteinzugsgebiete demonstrieren die Bedeutung der Berücksichtigung von Freispiegelabfluss in teilgefüllter Röhren
Ewen, Heidi Harriman. "RECONCILING BIOPHYSICAL AND PSYCHOSOCIAL MODELS OF STRESS IN RELOCATION AMONG OLDER WOMEN." UKnowledge, 2006. http://uknowledge.uky.edu/gradschool_diss/374.
Повний текст джерелаZemirline, Nadjet. "Assisting in the reuse of existing materials to build adaptive hypermedia." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00664996.
Повний текст джерелаLamarche, Louis. "Reduction of wall interference for three dimensional models with two dimensional wall adaptation." Doctoral thesis, Universite Libre de Bruxelles, 1986. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/213544.
Повний текст джерелаKirwin, Roan. "Modification and adaptation of WEDM wire-lag models for use in production environments." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1564759778566713.
Повний текст джерелаTomashenko, 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.
Повний текст джерелаDifferences 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
Kiss, Andreea. "Opportunistic Adaptation and New Venture Growth: Exploring the Link between Cognition, Action and Growth." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/managerialsci_diss/20.
Повний текст джерелаFoust, Richard John. "Development of a hydraulic bone chamber implant to study in vivo bone repair and adaptation." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/17123.
Повний текст джерелаMcMillen, David. "Effects of spike-frequency adaptation on neural models, with applications to biologically inspired robotics." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape2/PQDD_0020/NQ53651.pdf.
Повний текст джерелаGrobler, Johannes Hendrik. "Development and adaptation of dynamic models for new power generation source / Johannes Hendrik Grobler." Thesis, North-West University, 2011. http://hdl.handle.net/10394/8402.
Повний текст джерелаThesis (M.Ing. (Electrical Engineering))--North-West University, Potchefstroom Campus, 2011
Al, Tobi Amjad Mohamed. "Anomaly-based network intrusion detection enhancement by prediction threshold adaptation of binary classification models." Thesis, University of St Andrews, 2018. http://hdl.handle.net/10023/17050.
Повний текст джерелаDing, Jie. "Structural and fluid analysis for large scale PEPA models, with applications to content adaptation systems." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/7975.
Повний текст джерелаVogel, Thomas, and Holger Giese. "Model-driven engineering of adaptation engines for self-adaptive software : executable runtime megamodels." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6382/.
Повний текст джерелаDie Entwicklung selbst-adaptiver Software erfordert die Konstruktion einer sogenannten "Adaptation Engine", die mittels Feedbackschleifen die unterliegende Software steuert und anpasst. Die Anpassung selbst wird häufig mittels Laufzeitmodellen, die die laufende Software repräsentieren, und Aktivitäten wie beispielsweise Analyse und Planung, die diese Laufzeitmodelle nutzen, beschrieben. Um das Zusammenspiel zwischen Laufzeitmodellen und Aktivitäten systematisch zu erfassen, wurden Megamodelle zur Laufzeit für selbst-adaptive Software vorgeschlagen. Ein Megamodell zur Laufzeit ist ein spezielles Laufzeitmodell, dessen Elemente Aktivitäten und andere Laufzeitmodelle sind. Folglich erfasst ein Megamodell das Zusammenspiel zwischen verschiedenen Laufzeitmodellen und zwischen Aktivitäten und Laufzeitmodellen als auch die Aktivierung und Ausführung der Aktivitäten. Darauf aufbauend präsentieren wir in diesem Artikel eine Modellierungssprache für ausführbare Megamodelle zur Laufzeit, EUREMA genannt, die aufgrund eines modellgetriebenen Ansatzes die Entwicklung selbst-adaptiver Software erleichtert. Der Ansatz umfasst eine domänen-spezifische Modellierungssprache und einen Laufzeit-Interpreter für Adaptation Engines, insbesondere für Feedbackschleifen. EUREMA Megamodelle werden über die Spezifikationsphase hinaus explizit zur Laufzeit genutzt, um mittels Interpreter Feedbackschleifen direkt auszuführen. Zusätzlich können Megamodelle zur Laufzeit dynamisch geändert werden, um Feedbackschleifen anzupassen. Daher unterstützt EUREMA die Entwicklung selbst-adaptiver Software durch die explizite Spezifikation von Feedbackschleifen, der verwendeten Laufzeitmodelle, und Adaptionsaktivitäten auf einer höheren Abstraktionsebene. Darüber hinaus ermöglicht EUREMA komplexe Lösungskonzepte, die mehrere Feedbackschleifen und deren Interaktion wie auch die hierarchische Komposition von Feedbackschleifen umfassen. Dies unterstützt schließlich das integrierte Zusammenspiel von Selbst-Adaption und Wartung für die Evolution der Software.
Koontz, John Timothy. "Digital image-based finite element modeling : simulation of mechanically-induced bone adaptation." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/16474.
Повний текст джерелаLoulou, Hassan. "Verifying Design Properties at Runtime Using an MDE-Based Approach Models @Run.Time Verification-Application to Autonomous Connected Vehicles." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS405.
Повний текст джерелаAutonomous Connected Vehicles (ACVs) are Cyber-physical systems (CPS) where the computationalworld and the real one meet. These systems require a rigorous validation processthat starts at design phase and continues after the software deployment. Models@Runtimehas appeared as a new paradigm for continuously monitoring software systems execution inorder to enable adaptations whenever a change, a failure or a bug is introduced in the executionenvironment. In this thesis, we are going to tackle ACVs environment where vehicles tries tocollaborate and share their data in a secure manner.Different modeling approaches are already used for expressing access control requirementsin order to impose security policies. However, their validation tools do not consider the impactsof the interaction between the functional and the security requirements. This interaction canlead to unexpected security breaches during the system execution and its potential runtimeadaptations. Also, the real-time prediction of traffic states using crowd sourcing data could beuseful for proposition adaptations to AVCs cooperation models. Nevertheless, it has not beensufficiently studied yet. To overcome these limitations, many issues should be addressed:• The evolution of the system functional part must be considered during the validation ofthe security policy and attack scenarios must be generated automatically.• An approach for designing and automatically detecting security anti-patterns might bedeveloped. Furthermore, new reconfigurations for access control policies also must befound, validated and deployed efficiently at runtime.• ACVs need to observe and analyze their complex environment, containing big-datastreams to recommend new cooperation models, in near real-time.In this thesis, we build an approach for sensing the ACVs environment, validating its accesscontrol models and securely reconfiguring it on the fly. We cover three aspects:• We propose an approach for guiding security models checkers to find the attack scenariosat design time automatically.• We design anti-patterns to guide the validation process. Then, we develop an algorithmto detect them automatically during models reconfigurations. Also, we design a mechanismfor reconfiguring the access control model and we develop a lightweight modularframework for an efficient deployment of new reconfigurations.• We build an approach for the real-time monitoring of dynamic data streams to proposeadaptations for the access policy at runtime.Our proposed approach was validated using several examples related o ACVs. the results ofour experimentations prove the feasibility of this approach
Geil, Kerrie L., and Kerrie L. Geil. "Assessing the 20th Century Performance of Global Climate Models and Application to Climate Change Adaptation Planning." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/623015.
Повний текст джерелаXing, Yang. "Asymptotic behavior of Bayesian nonparametric procedures /." Umeå : Dept. of Forest Economics, Swedish University of Agricultural Sciences, 2009. http://epsilon.slu.se/200935.pdf.
Повний текст джерелаDoi, Fabrício. "Objetos adaptativos: aplicação da tecnologia adaptativa à orientação a objetos." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-09012008-095135/.
Повний текст джерелаThis study addresses the issue of implementing object-oriented software with adaptive characteristics, having as primary purpose simplify the implementing process. The key theoretical basis consisted in adaptive technology and its application in various formalisms. Adaptive Object Model has been taken as comparison basis to solutions to implement adaptive systems. This study describes applications and a proposition to implement and model adaptive systems, through the extension of object concept with adaptive technology characteristics. It also evaluates the impact of applying adaptive devices in formalism with types. The results obtained demonstrate that adaptive technology is suitable for object-oriented languages and that UML diagrams are capable of presenting adaptive behavior appropriately with a small number of extensions.
Kurekli, Kenan. "System Parameter Adaptation Based On Image Metrics For Automatic Target Detection." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604966/index.pdf.
Повний текст джерелаBryant, W. A. "Functional genomics, analysis of adaptation in, and applications of models to, the metabolism of engineered Escherichia coli." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19628/.
Повний текст джерелаChang, Joshua TsuKang. "Flipping Biological Switches: Solving for Optimal Control: A Dissertation." eScholarship@UMMS, 2015. https://escholarship.umassmed.edu/gsbs_diss/763.
Повний текст джерелаBuck, Harleah G. "The Geriatric Cancer Experience in End of Life: Model Adaptation and Testing." [Tampa, Fla.] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002305.
Повний текст джерелаShah, Ankur Savailal. "Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31826.
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Further, our results indicate that prediction-based schemes for runtime adaptation compare
favorably and typically improve upon heuristic search-based approaches in both performance and
energy savings.
Master of Science
Renga, Sandra. "An evaluation of two predictive models of adjustment in women with breast cancer : hope versus cognitive adaptation theory." Thesis, Lancaster University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442721.
Повний текст джерелаYang, Boxuan. "Estimating the Impacts of Climate Changes on Agricultural Productivities in Thailand, Using Simulation Models." Kyoto University, 2018. http://hdl.handle.net/2433/235992.
Повний текст джерелаNhemachena, Charles. "Agriculture and future climate dynamics in Africa impacts and adaptation options /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-05302009-122839/.
Повний текст джерелаBarden, Katharine. "Perceptual learning of context-sensitive phonetic detail." Thesis, University of Cambridge, 2011. https://www.repository.cam.ac.uk/handle/1810/241032.
Повний текст джерелаLakoba, Vasiliy Tarasovich. "Ecotypic Variation in Johnsongrass in Its Invaded U.S. Range." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103611.
Повний текст джерелаDoctor of Philosophy
Exotic invasive species are a global problem, threatening biodiversity and biosecurity now and in the future. In the last several decades, ecologists have studied many individual invaders and their traits to understand what drives their spread. More recently, abundant differences in traits between populations within an invasive species have raised questions about humans' role in facilitating invasion through climate change, land use, and other disturbances. I studied the invasive Johnsongrass's (Sorghum halepense (L.) Pers.) response to drought, nutrient limitation, and freezing to detect differences between populations based on their climate and ecotype (agricultural vs. non-agricultural) origin. I also tracked differences in the climates the species occupied across the globe and North America and projected its future distribution under climate change. Overall, I found a greater number of home climate effects than ecotypic effects on various traits. Non-agricultural seed from cold climates and agricultural seed from warm climates germinated the most, while non-agricultural seedlings performed consistently regardless of soil carbon origin, unlike their agricultural counterparts. In addition, drought stress varied with population origins' rainfall and soil fertility, and seed germination favored warm/humid and cold/dry origin. Rhizome (underground stem) cold tolerance appears to be a trait that limits S. halepense poleward range expansion. Along with no change in the coldest climates occupied worldwide and no spread to new climates with transition to non-agricultural lands, this implies that Johnsongrass is unlikely to expand its range without external forces. Instead future range expansion will likely be driven by climate change. This coupled approach to climate and land use affecting invasion is transferable to other species and can help refine both our concepts and response strategies.
Heaphy, Liam James. "Modelling and translating future urban climate for policy." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-translating-future-urban-climate-for-policy(2c2ca637-bec2-4f60-884d-5d34fa77fb26).html.
Повний текст джерелаGraveline, Nina. "Adaptation de l'agriculture aux politiques de gestion de l'eau et aux changements globaux : l'apport des modèles de programmation mathématique." Thesis, Paris, AgroParisTech, 2013. http://www.theses.fr/2013AGPT0091/document.
Повний текст джерелаThis thesis develops and discusses agricultural-supply modeling approaches for representing the adaptation of farming to global changes and water policies: their effects on agricultural economics and water resources comprise critical information for decision makers. After a summary and a review chapter, four essays are presented. The first essay describes a representation of the behavior of ten typical farms using a risk linear programming model connected to a plant-soil-hydrodynamic model chain, to assess the future level of nitrate contamination in the upper Rhine valley aquifer. The baseline, liberal, and interventionist scenarios for 2015 all result in lower nitrate concentrations. The second essay explores the effects of the economic uncertainty of global changes by means of a Monte Carlo approach distinguishing various levels of dependence on uncertain parameters. Analyses for a nitrate-oriented and a water-use model (in Alsace and southwestern France) show that the environmental objectives can be targeted withsufficient confidence. The third essay develops a flexible specification for positive mathematical programming - constant elasticity of substitution with decreasing returns - to explore how irrigated farming adapts to increased water scarcity in Beauce, France. The possibility of adjusting the application of water per hectare accounts for about 20% of the response. The last essay presents the development of a holistic hydro-economic model of Beauce’s agriculture and aquifer under climate-change uncertainty, so as to evaluate various water policies, as well as the open-access case, up to the year 2040. The results show that the baseline policy is more cost-effective than the other instruments tested (tax, transfer,etc.)
Regotti, Benjamin P. "Terminology, models and methods for reflecting upon the encounter between liturgy and culture the contribution of Anscar J. Chupungco, O.S.B. /." Theological Research Exchange Network (TREN), 1992. http://www.tren.com.
Повний текст джерелаWarden, Tobias [Verfasser], Otthein [Akademischer Betreuer] Herzog, Otthein [Gutachter] Herzog, and Winfried [Gutachter] Lamersdorf. "Interactive Multiagent Adaptation of Individual Classification Models for Decision Support / Tobias Warden ; Gutachter: Otthein Herzog, Winfried Lamersdorf ; Betreuer: Otthein Herzog." Bremen : Staats- und Universitätsbibliothek Bremen, 2019. http://d-nb.info/1199003611/34.
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