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 16 of 16 for “"Feature model"”.
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Design and development of reusable feature-based next-generation embedded software
… supporting advanced functionalities or features becomes essential. Fog and edge computing emerge as promising computing paradigms for next-generation embedded applications. These platforms are particularly pertinent for safety-critical and time-sensitive systems, such as autonomous …
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Forensic research on detecting seam carving in digital images
… distribution change, an energy based statistical model is proposed as the first work in this dissertation. Features measured global energy of images, remaining optimal seams, and noise level are extracted from four local derivative pattern (LDP) domains instead of from the original pixel domain to …
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Flow Kinematics and Dynamics of the Gulf Stream From Composite Imagery
… fractal and spectral analyses, two kinematic models, and a potential vorticity model, detailed comparisons are made between these data sets.</p> <p>Fractal and spectral analyses show that the data set is not fractal, there is no geographic variability, and there is not a strong fractal scaling …
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Gingainstancing: uma ferramenta para geração de produtos derivados do middleware do sistema brasileiro de televisão digital.
… line. The software built was elaborated through Modeling frameworks and an architecture description language, the Fractal ADL. It permits the architecture descriptions; both reference architecture and application architecture. With a component--‐based development, and the FlexCM runtime …
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Impact Of Choices When Creating Average Proximity Soundings As Applied To Lp/cl/hp Supercell Environments
… of producing composite environmental soundings (feature averaging versus height averaging; FA vs. HA), why those composites differ from one another, how the compositing technique itself affects the resulting thermodynamic and wind parameters, and which technique results in preserving features. …
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Service-oriented design and verification of hybrid systems
… each other and with the physical environment. Model-driven development methods are used to handle their complexity and to ease their development. Furthermore, variability in the model design enables to customize a system for different environments. In safety-critical areas, where faulty …
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Context-based motion retrieval using vector space model
… its semantics. Our approach uses vector space model to measure the similarities among motions, which are made discrete using the vocabulary technique and transformation invariant using the relational feature model. In our approach, relational features are first extracted from motion data. then …
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Automatic Derivation of Performance Models in the Context of Model-Driven SOA
The thesis proposes a model transformation chain called Performance from Unified Modeling Analysis for Service-Oriented Architecture (SOA) systems (PUMA4SOA), whose purpose is to automatically generate performance models from the UML software design models of SOA systems with performance …
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Latent feature models and non-invasive clonal reconstruction
… constraints or posit a perfect phylogeny. Models of the first type are typically latent feature models that can describe the observed data flexibly, but whose results may not be reconcilable with a phylogeny. The second type, instead, generally comprises non-parametric mixture models, with …
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Feature-based Approach to Bridge the Information Technology and Business Gap
… software products can be described by a set of features, a promising solution would be to link both the problem and solution domains based on these features. Thus, the proposed approach aims to bridge the gap between the problem and the solution domains by using a feature-based technique in …
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Mixture Model Approaches to Integrative Analysis of Multi-Omics Data and Spatially Correlated Genomic Data
… behind a disease. Statistical methods can model the interrelationships of the involved gene activities through jointly analyzing multiple types of genomic data from different platforms (vertical integration), or improve the power of a study through aggregating the same type of genomic data …
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Development and evaluation of a watershed-scale hybrid hydrologic model
<p>A watershed-scale hybrid hydrologic model (Distributed-Clark), which is a lumped conceptual and distributed feature model, was developed to predict spatially distributed short- and long-term rainfall runoff generation and routing using relatively simple methodologies and state-of-the-art spatial …
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Effective reuse of coupling technologies for Earth System Models
Designing and implementing coupled Earth System Models (ESMs) is a challenge for climate scientists and software engineers alike. Coupled models incorporate two or more independent numerical models into a single application, allowing for the simulation of complex feedback effects. As ESMs increase …
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Representation and learning schemes for argument stance mining.
… use of a lexicon with modifiers as a temporal feature model for more complex classification algorithms. We find that the addition of contextual information enhances unsupervised stance classification, within reason, and that multi-strategy algorithms that combine multiple heuristics by ordering …
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Semantic deontic modeling and text classification for supporting automated environmental compliance checking in construction
… A deontology for ACC would serve as a normative model for ACC knowledge representation and reasoning. NLP is a theoretically-based computerized approach to analyzing, representing, and manipulating natural language text for the purpose of achieving human-like language processing for a range of …
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THE DEVELOPMENT AND EVALUATION OF TECHNIQUES FOR USE IN MAMMOGRAPHIC SCREENING COMPUTER AIDED DETECTION SYSTEMS
… to describe these objects using various measured features. The extraction of these measurements is the final step in transforming objects from image based visual depictions to abstract numerical representations. This new representation facilitates the forthcoming statistical treatment of these …