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 182 for “"modeling technique"”.
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A mathematical modeling technique to improve fast-food labor scheduling
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1991.
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Development of a reduced-order modeling technique for granular locomotion
… the development and expansion of a reduced-order modeling technique called granular Resistive Force Theory(RFT) for modeling wheeled locomotion on granular beds. A combination of various modeling techniques, namely plasticity-based continuum modeling, discrete element method (DEM) modeling, along …
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Application of a systems-theoretic safety modeling technique for complex system mishap etiology
Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, 2003.
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Ultracapacitor characterization using a novel dynamic parameter identification modeling technique for electric transportation applications
… an accurate dynamic parameter identification technique is proposed. The identification technique can be integrated with an equivalent RC branch UC model, which can estimate the output voltage without the extraction of the model parameters. The parameters will be determined dynamically from the …
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A stage-by-stage post-stall compression system modeling technique: methodology, validation, and application
… and rotating stall. The model uses a numerical technique to solve the nonlinear conservation equations of mass, momentum, and energy. Inputs for blade forces and shaft work are provided by a set of quasi-steady stage characteristics modified by a first order lagging equation to simulate dynamic …
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Development and Application of a New Modeling Technique for Production Control Schemes in Manufacturing Systems
… analogies with electrical systems. The developed modeling technique has the capability to explicitly specify production control schemes including control points, material and information flow paths, and logical operations. The model provides standard graphical representations and governing …
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Convex Modeling Techniques for Aircraft Control
… an LPV system. The current effort proposes a LPV modeling technique that is inspired by an affine LPV modeling techniques found in recent research. The properties of the proposed modeling method are investigated and compared to the affine modeling technique. It is shown that the proposed modeling …
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Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification
The application of stochastic modeling for learning the behavior of multibody dynamics models is investigated. The stochastic modeling technique is also known as Kriging or random function approach. Post-processing data from a simulation run is used to train the stochastic model that estimates the …
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A robust planning and control methodology for design-build fast-track civil engineering and architectural projects
… engineering, graphical evaluation and review technique (GERT), and the system dynamics modeling technique. The goal of the proposed methodology is to help create a robust project plan for design-build fast-track civil engineering projects where unforeseen changes can be absorbed in the project …
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Concurrent substrate coupling noise modeling and active noise reduction methodology for mixed-signal physical design
… and the effectiveness of using noise reduction techniques. A hierarchical substrate coupling noise modeling technique that uses a gate-level lumped parasitic circuit model (for digital circuit layout) and concurrent real-time stimulating waveforms has been developed. This hierarchical approach …
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Microwave data reduction technique for calculation of solid propellant burning rates
… data is reviewed and an improved data reduction technique is introduced. The improved microwave modeling technique is analyzed using simulated data to determine the accuracy of the burning-rate calculations and the sensitivity of the burning-rate calculations to errors in the model parameters. …
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Modeling the mechanical behavior of amorphous metals by shear transformation zone dynamics
A new mesoscale modeling technique for the thermo-mechanical behavior of amorphous metals is proposed. The modeling framework considers the shear transformation zone (STZ) as the fundamental unit of deformation, and coarse-grains an amorphous collection of atoms into an ensemble of STZs on a mesh. …
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Modeling and simulation of surface mount packages
… of fit and validity of these models. With this modeling technique, various package parasitics affecting the circuit performance can be evaluated and compensated for in the electrical equivalent models.
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Modeling virtualized application performance from hypervisor counters
… and service level assurance, we develop a modeling technique that generates accurate models of service level. Using only hypervisor counters as inputs, we train models to predict application response times and predict SLA violations. To collect training data, we conduct a simulation phase …
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Computational modeling and design of multilayer corrosion coatings for galvanic protection of steel
… of the coating. Recent advances in processing techniques has permitted the efficient deposition of multilayer metallic coatings, which offer tremendous potential for dramatic improvements in performance relative to single layer coatings. However, development of multilayer corrosion coatings is …
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Hydrodynamic and gasification behavior of coal and biomass fluidized beds and their mixtures
… in homogeneous fluidization regions, a new modeling technique was proposed that modified the definition of the critical velocity in the Ergun correlation. The new modeling technique showed promising results for predicting fluidization behavior of fine particles. The fluidization behavior of …
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Optimizing Groundwater Remediation Designs Using Dynamic Meta-Models and Genetic Algorithms
… focus of the research is to extend the adaptive modeling technique in a stochastic optimization framework so that robust optimal solutions can be efficiently identified in the presence of parameter uncertainty. The developed algorithm, called Noisy-AMGA, minimizes the expected fitness function …
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