Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"Context model"”.
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Model based approach for context aware and adaptive user interface generation
… is challenged by the presence of varying contexts. Context comprises of user's computing platform, the environment in which the user is interacting with the application and user characteristics which comprise of user's behavior during interaction and user preferences for interface display …
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The career decision making experience of five working class men
… The three theories were; The Conflict Model by Janis and Mann, The Rational Model by Horan and The Deciding in Context Model by Sloan. The divergence between theory and experience, rather than the agreement was more informative. The comparison of the two rational models highlighted the …
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Event and map content personalisation in a mobile and context-aware environment.
… Personalisation is one such method which models a users characteristics to deliver content more focused to the users needs. The emerging area of sophisticated mobile computing devices has started to inspire new forms of personalised systems that include aspects of the persons contextual …
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Significance-linked connected component analysis+ for wavelet image coding
… (DOR) and SLCCA+ use a definition of context model for the adaptive arithmetic coding. Extensive computer experiments on both natural and texture images show convincingly that the proposed SLCCA+ outperforms SLCCA. For example, for the Lena image, at 0.1 bit/pixel, SLCCA+ outperforms …
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A Multilayer Framework for Quality of Context in Context-Aware Systems
Context-aware systems use context information to decide what adaptation actions to perform in response to changes in their environment. Depending on applications, context information includes physical context (e.g. temperature and location), user context (e.g. user preferences and user activity), …
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An architecture for context-aware applications
… recent convergence of ubiquitous computing and context-aware computing has seen a considerable rise in interest in applications that exploit aspects of the contextual environment to offer services, present information, tailor application behavior or trigger adaptation. However, as a result of …
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A knowledgebase of stress reponsive gene regulatory elements in arabidopsis Thaliana
… to a stress signal. Arabidopsis thaliana, a model organism, can be used to identify the mechanism of how transcription factors shape a plant's survival in a stressful environment. Whilst there are numerous plant stress research groups, globally there is a shortage of publicly available stress …
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Sentiment Analysis with Language Models on Finnish Workplace Well-Being Surveys
… comprehensive investigation into using language models and sentiment classifications as a solution. We tested three different methodologies for this purpose, traditional machine learning with learned embeddings, generative language methods, and fine-tuned BERT models. To our knowledge, this is …
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Ontology based contextualization and context constraints management in web service processes
… of our work. We propose an ontology based contextualization and a framework and techniques for managing context constraints in a Web service process for dynamic requirements validation monitoring at process runtime. Firstly, we propose an approach to define and model dynamic service context …
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Rich Features in Phrase-Based Machine Translation
… strojový překlad, hodnocení kvality, kontextový model, suffixové pole Abstrakt: V této práci zkoumáme metody, jak zlepšit kvalitu statistického strojového překladu použitím bohaté lingvistické informace. Nejdříve popíšeme SemPOS - metriku, která využívá mělké sémantické reprezentace vět k …
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Leveraging Modelling and Machine Learning for the Analysis of Curvilinear Structures in Medical Images
… algorithm. The former combines an appearance model, based on a Scale and Curvature Invariant Ridge Detector (SCIRD), with a context model, including multi-range learned context filters. The latter is based on a novel tortuosity estimation paradigm in which discriminative, multi-scale features …
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Ein Integrations- und Darstellungsmodell für verteilte und heterogene kontextbezogene Informationen
… Datenquellen zusammengetragenen Kontextmodells. Im Besonderen werden durch diese Arbeit zwei Probleme addressiert, zum einen daß ein Konsument von umfassenden Kontextinformationen mehrere Datenquellen sowohl kennen und zugreifen können und zum anderen über die zwischen den einzelnen …
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Spatio-temporal Event Detection and Forecasting in Social Media
… forecasting, and deep learning based epidemic modeling for forecasting influenza outbreaks. For the first of these methods, existing solutions for spatiotemporal event detection are mostly supervised and lack the flexibility to handle the dynamic keywords used in social media. The contributions …
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Minority Language Advising in the Workplace: Contextual Practices, Relational Knowing, Mandate, and Change
… minority language advising in the organisational context is carried out in this thesis. The focus is on Irish language support for employees mandated by the Official Languages Act, 2003 to provide public services through Irish. The research participants are adult second-language learners of Irish, …
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Realising context-oriented information filtering.
… of no (or little) use to us.The development of a model to aid information filtering in a context-aware way is developed as an objective for this thesis. A key concern in the conceptualisation of a single concept is understanding the context under which that concept exists (or can exist). An …
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Unsupervised Structure Induction for Natural Language Processing
… grapheme-based joint source-channel model, and proposes Synchronous Adaptor Grammar (SAG), a novel nonparametric Bayesian learning approach for machine transliteration. This model provides a general framework to automatically learn syllable equivalents without heuristics or …
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A privacy preservation framework for smart connected toys
… for children. SCTs can gather data on the context of the child user’s physical activity state (e.g., walking, standing, running) and store personalized information (e.g., location and activity pattern) through a camera, microphone, Global Positioning System (GPS), and various sensors such …
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Improving Content Design on Mobile Devices to Reduce Situational Visual Impairments
… challenges as a result of the changing contexts of use, resulting in the user experiencing a situational impairment. For example, when typing in a vehicle being driven over an uneven road, it is difficult to avoid incorrect key presses.<br/><br/>Situational visual impairments (SVIs) are …
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Context Awareness in the Internet of Things and its Applications
In the last decade the role of context awareness, traditionally focused on human to machine interaction, has broadened its perspectives to the machine to machine paradigma. The main goal of this dissertation is both to understand how to apply context awareness to situations , perceived by smart …
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Understanding the experience of type 2 diabetes using multiple methods and perspectives
To view the abstract, please see the full text of the document.
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