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 23 for “"Data simulations"”.
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Characteristics of different deep neural networks and application of pre-trained model without transfer learning
… performances. The goal of this thesis is using data simulations to present different characteristics of three deep neural networks: fully connected deep neural network, convolutional neural network, recurrent neural network, which will perform best when dealing with different feature patterns. …
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Study of the Effect of Fracture Completion Variables on Decline Curve Parameters for Long-Term Production Forecast of Shale Liquids
… forecasts for individual flow regime production data. Simulations using identical reservoir properties but different fracture completion parameters were analyzed and fit to decline models. The parameters considered in our study are fracture half-length, fracture spacing, stimulated reservoir …
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Systematic calibration of a theory-based transport model of tokamak plasmas
… theoretical predictions and the experimental data. Simulations of a series of similar experiments where only certain dimensionless parameters were allowed to vary are also included. Here, a newly implemented and more complete drift wave theory from Sweden is tested and compared against results …
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Characterization and comparison of optical source relative intensity noise and effects in optical coherence tomography
… effects of optical source noise reduction on OCT data. Simulations comparing OCT and ISAM images assuming an identical optical source noise are also performed and explained.
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Parametric study and simulation of microbubble column flotation
… frother dosage and wash water rate. The test data were found to fall along a single grade-recovery curve and just below the ideal separation curve predicted by release analysis, provided that a sufficient bias flow was maintained. The test results also demonstrated that various combinations of …
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Road Pothole Detection Method Using Built-in Sensors In Smartphone
… as a tool to detect potholes on the road. The data collected and pre-processed by smartphone is then analysed to obtain the result. The history and status of pothole detection study is firstly discussed. The traditional pothole detection method has two disadvantages: 1, low efficiency; 2, …
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Construction of symmetry triangular fuzzy number procedure (STFNP) using statistical information for autoregressive forecasting
Single-point data are used for data collection. However, data collected by various data collection methods are often exposed to uncertainties that may affect the information presented by the quantitative results. This also causes the forecast model developed to be less precise because of the …
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Extreme events over the contiguous United States portrayed in a CESM-WRF dynamical downscaling framework
… contiguous United States. Compared to reanalysis data, simulations represent temperature better than precipitation, and the model performs better east of the Rocky Mountains than over the mountainous west. Extreme events are defined according to exceedances of percentiles of the distribution of …
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Short meridional scale anomalies in the lower stratosphere and upper troposphere
… of Microwave Sounding Unit (MSU) channel 4 data. Newman and Stanford (1983) further elucidated the properties of these anomalies, and their work is duplicated herein;It is shown that 1000-3000 km meridional scale anomalies with 10,000-40,000 km zonal scales exist in the MSU channel 4 data, …
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Environmental influences on banana shrimps of the Sofala Bank, Mozambique Channel
… analyses of both commercial and research survey data. Simulations indicate that shrimp larvae are lost offshore by entrainment in mesoscale eddies at inter- and intra-annual scales and eddies therefore are unlikely to produce a continuous declining in the catch. In contrast, these eddies induce …
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Dynamic Primitives in Human Manipulation of Complex Objects
… These models fail to reproduce human subject data in two ways: experimental hand velocities take on asymmetric bimodal profiles with shorter move durations, while the optimization-based models predict purely symmetric velocity trajectories. Additionally, the local minimum velocity between …
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Internal tide generation by tall ocean ridges
… with realistic topography and stratification data to predict the internal tide generated by the ridges at Hawaii and at the Luzon Strait. Despite the assumption of two-dimensionality, there is remarkably good agreement between field data, simulations and the new theory for the magnitude, …
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Development and evaluation of a watershed-scale hybrid hydrologic model
… methodologies and state-of-the-art spatial data in a GIS environment. In Distributed-Clark, spatially distributed excess rainfall estimated with the SCS curve number method and a GIS-based set of separated unit hydrographs (spatially distributed unit hydrograph) are utilized to calculate a …
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Frequency- and pressure-dependent dynamic soil properties for seismic analysis of deep sites
… by Seed & Idriss, 1969. Laboratory experimental data (Laird & Stokoe, 1993) performed on sand samples, subjected to high confining pressures, show that for highly confined materials, both the shear modulus reduction factor [G /G[alpha] and the damping [zeta ] versus shear strain amplitude fall …
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Advanced Methods for Generating and Processing Simulated Radar Sounder Data for Planetary Missions
… as well as the interpretation of the acquired data, is a non-trivial task due to the complexity of the scenario of acquisition and the limited amount of information on the targets (especially in planetary exploration). In this context, data simulations are necessary to support the design of the …
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Development and Calibration of Reaction Models for Multilayered Nanocomposites
… Together with the available experimental data, simulations are used to calibrate the models and enhance the accuracy of their predictions.</p><p>Recent modeling efforts for the Ni-Al system have investigated the nature of self-propagating reactions in the multilayers. Model fidelity was …
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Computer generation of designs for two-phase experiments with applications to multiplex experiments in proteomics
… decomposition of the total variability in the data space into its constituent components of known sources of variation, and their corresponding degrees of freedom, are shown to play an important role in assessing the properties of competing designs for two-phase experiments. However, generating …
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Modeling and Analysis of Non-Linear Dependencies using Copulas, with Applications to Machine Learning
… for continuous random variables and real world data is often naturally modeled jointly as continuous and discrete. This report details our work in bridging this gap of modeling and analyzing data that is jointly continuous and discrete using copulas. Our first research contribution details …
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Markovian and stochastic differential equation based approaches to computer virus propagation dynamics and some models for survival distributions
… model are estimated using real computer viruses data. We develop the maximum likelihood (MLE) and Bayesian estimators for the SEIR model parameters, and apply them to the `Code Red worm' data. Since network structure can be a possibly important factor in virus propagation, multi-group stochastic …
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Exploring the potential of nanofluids to enhance the productivity of solar stills
… Calculations were performed using climatic data from Stellenbosch (latitude 33.93°S, longitude 18.86°E) and University of Cape Town (latitude 33.96°S, longitude 18.46°E), South Africa, in order to evaluate the performance of solar stills with varying nanoparticle sizes. For the experimental …
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