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 27 for “"set model"”.
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An Implicit Level Set Model for Firespread
<p>The level set method is a mathematical and computational, technique for tracking a moving interface over time. It can naturally handle topological changes such as merging or breaking interfaces. Intrinsic geometric properties of the interface, such as curvature and normal direction, are easily …
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Optimal Finite Control Set Model Predictive Control Strategies for Induction Motor Drives
The finite control set model predictive control (FCS-MPC) for motor drives has been vigorously investigated during the past decade for control of current, torque, stator flux linkage, and other performances in a motor drive system. Model predictive torque control (MPTC) and flux control (MPFC) are …
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Device Characterization and Compact Modeling of the SiGe HBT in Extreme Temperature Environments
… range specifications need an HBT compact model to accurately represent the device's performance.</p> <p>In this work, a compact model referenced at 300K was developed to accurately represent both DC and AC electrical performance of the SiGe HBT over an extended temperature range, down to …
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Multiple Psychosocial Factors as Predictors in the Progression of HIV-1 to AIDS
… this study reviews the biopsychosocial medical model and components of the stress-immunity-health (SET) model. The constructs of stress and social support are discussed and defined referencing current theory and research. In addition, physiological mechanisms of stress and the immune system are …
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Performance evaluation of database management systems
… with buffering. We present the layered hot set model which quantifies the locality of page references when executing a query using a DBMS. We presented the ABLE buffer management algorithms for DBMS's. We give cost models for both relational DBMS's and network DBMS's. We also give some of …
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Worker profile: two functional assessment models
… work descriptors. This study develops two models of disabled worker behavior for use in the vocational assessment and job design process. In addition to providing the rehabilitation engineer a usable assessment of the client's abilities the Worker Profile should aid in the sharing of …
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Application of Numerical Methods to Study Arrangement and Fracture of Lithium-Ion Microstructure
… to the development and analysis of fracture models within finite element simulations. A difficult problem to characterize in the realm of fracture modeling is that of fragmentation, wherein brittle materials subjected to a uniform tensile loading break apart into a large number of smaller …
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Control for an optically powered firing set using miniature photovoltaic arrays
The optically powered firing set looks to revolutionize the design of future electrical firing sets. Optically powered devices have many features that make them attractive, such as immunity to noise problems from Electromagnetic Interference (EMI) and Electromagnetic Radiation (EMR). Also, …
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Robust reconnaissance asset planning under uncertainty
… thesis considers the tactical reconnaissance asset allocation problem in military operations. Specifically this thesis presents methods to optimize, under uncertain conditions, tactical reconnaissance asset allocation in order to maximize, within acceptable levels of asset risk exposure, the …
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Incorporating game theory with soft sets for better decision making
… is a challenge for decision-making. Soft set theory aims to aid complex decision-making when multiple uncertainty variables are involved. To solve classification problems with the existence of uncertainty, we adopted three-way classification instead of binary classification. It introduces …
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A critical evaluation of information sources used in the tourist destination decision making process
… was to identify and evaluate a complete choice set model of the extended Destination Decision Making process and review critically the role of information sources within that affect the process. A web based questionnaire was used to collect quantitative data from a sample (judgement sampling was …
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Fraction Models That Promote Understanding For Elementary Students
<p>This study examined the use of the set, area, and linear models of fraction representation to enhance elementary students' conceptual understanding of fractions. Students' preferences regarding the set, area, and linear models of fractions during independent work was also investigated. This …
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Multi-visualization and hybrid segmentation approaches within telemedicine framework
… the third step handles vague boundary by level set model. Topics for future research are mentioned in the end, including new supplement for DICOM standard for segmentation information storage, visualization of multimodal image information, and improvement of the segmentation approach to higher …
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Towards Effective Tools for Debugging Machine Learning Models
… and fixing the errors of a machine learning (ML) model—model debugging. Current ML models, especially overparametrized deep neural networks (DNNs) trained on crowd-sourced data, easily latch onto spurious signals, underperform for small subgroups, and can be derailed by errors in training labels. …
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Multiscale modeling of chemical vapor deposition and plasma etching
In this work, a framework and a set of modeling tools capable of describing systems with key processes occurring on widely separated length and time scales has been developed. The major focus of this work is linking atomistic and continuum descriptions of gas phase transport. This problem is of …
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Advanced control techniques and sensors for gas engines with NSCR
… was performed on a Cummins-Onan Generator Set, model GGHD 60HZ, capable of a power output of 100kW at standard ambient air conditions. The engine was reconfigured to operate utilizing an electronic gas carburetor (EGC2) with lambda sensor feedback, manufactured by Continental Controls …
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A Virtual Space Vectors based Model Predictive Control for Three-Level Converters
… all the existing control methods, finite-control-set model predictive control (FCS-MPC) has been extensively investigated and applied due to its simple and intuitive design, fast-dynamic response and robustness against parameter uncertainties. However, to implement an FCS-MPC on a 3-L VSC, a …
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Novel Carbopol-Wax Blends for Controlled Release Oral Dosage Forms
… tablets non-destructively. Three different modeling algorithms were compared for their predictability. K-nearest neighbors algorithm (KNN) yielded models with better predictability compared to partial least squares algorithm and support vector machines algorithm. Model validation was …
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