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.
Results
Showing 1 to 20 of 35 for “"Large-Scale Experiments"”.
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Characterization of Flow Turbulence Induced by a Bubble-Plume in Large-Scale Experiments
An analysis of the effects of the different experimental conditions on the observed turbulence parameters allowed identifying the main variables (tank geometry, water depth, and air discharge) controlling the induced mixing in the tank. Finally, the extensive set of experimental data was summarized …
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ChangiNOW : a mobile application for efficient taxi allocation at airports
… we evaluate the performance of this system in large-scale experiments and show that our system achieves a significant improvement in both passenger and taxi waiting time.
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The Betweenness Centrality Of Biological Networks
In the last few years, large-scale experiments have generated genome-wide protein interaction networks for many organisms including Saccharomyces cerevisiae (baker's yeast), Caenorhabditis elegans (worm) and Drosophila melanogaster (fruit fly). In this thesis, we examine the vertex and edge …
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A PATH ENUMERATION REFORMULATION OF THE SCHEDULE MIXED INTEGER PROGRAM SUPPORTING EXPEDITIONARY ADVANCED BASE OPERATIONS.
… difficulty of S-MIP limits its usefulness in large-scale experiments. This thesis describes a path enumeration-based reformulation known as the Path Enumeration Mixed-Integer Program (PE-MIP). PE-MIP is designed to provide a less computationally difficult model than the antecedent model S-MIP. …
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A Framework for LLM-based Lifelong Learning in Robot Manipulation
… skills, increasingly they are being guided by large language model planners that decompose complex tasks into subgoals. Recent works indicate that these language models may also be effective skill learners. We develop HaLP 2.0, a modular and extensible framework for lifelong learning in …
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Scaled: Scalable Federated Learning via Distributed Hash Table Based Overlays
… Internet-of-Things (IoT) devices generate a large amount of personal data. However, due to the privacy concern, collecting the private data in cloud centers for training Machine Learning (ML) models becomes unrealistic. To address this problem, Federated Learning (FL) is proposed. Yet, …
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A Measurement Tool for Videoconferencing User Experience
… reflect everyday user calls. Gathering data on a large scale without knowing the network structure and getting permission for traffic analysis takes time and effort. Such large-scale experiments often use lengthy procedures to obtain the right permissions and deploy monitoring infrastructure in …
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Structural design of waste-thermoplastic wind turbine blade
… the Elium thermoplastic utilized in other large scale experiments. In this study, the structural performance of various resin types for composite blade is depicted. The application, Ansys Mechanical APDL and BladeComp are utilized in obtaining mass, deflection and von mises stress in the …
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Sediment Transport and Wind Flow Around Hummocks
… While qualitative observations and holistic, large-scale experiments regarding vegetation density and sediment transport have confirmed a negative correlation, fewer papers have quantitatively described the nature of that relationship. Moreover, virtually no studies have specifically focused …
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Adjusting for Autocorrelated Errors in Neural Networks for Time Series
… series classification, and anomaly detection. Large-scale experiments with various neural network architectures and datasets from the four time series tasks verify the effectiveness of our method. Results show that our method enhances performance across most of these time series modeling tasks.
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Investigation of a Commercial Product (BiOWiSH™) for Nitrogen Management
… ) using Biowish–Aqua was conducted using small scale experiments (flask experiments) and large scale experiments (column reactor experiments). In this work, column reactors were created to test Biowish–Aqua’s nitrogen treating capabilities by providing enough depth to simulate the dissolved …
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From Data, to Models, and Back: Making Machine Learning Predictably Reliable
… In pursuit of this goal, this thesis combines large-scale experiments with theoretical analysis to form a precise understanding of the ML “pipeline,” from training data (and the way we collect it), to learning algorithms, to deployment. Fully realized, such an understanding would allow us to …
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New algorithms in machine learning with applications in personalized medicine
… not only demonstrate improved performance in large-scale experiments, but are also applied to solve the problems in health care that motivated them. Our simulated trial for diabetic patients in Chapter 4 demonstrates a clinically relevant reduction in average hemoglobin A1c levels compared to …
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Advancing State-of-the-art Multiphase CFD Modeling for PWR Applications
… cycle and reducing the need for expensive large-scale experiments. M-CFD relies on two-phase closure models to consistently represent the relevant physical phenomena in flow boiling. However, the still incomplete understanding of the ability of these closures to accurately capture the …
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Planning under uncertainty with Bayesian nonparametric models
… and problem domains for performing RL experiments. RLPy also provides a suite of tools that help automate tasks throughout the experiment pipeline, from initial prototyping through hyperparameter optimization, parallelization of large-scale experiments, and final publication-ready …
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Large-Scale Cyclic Testing and Development of Ring Shaped - Steel Plate Shear Walls for Improved Seismic Performance of Buildings
… with finite element analyses. Next, five large-scale, quasi-static, cyclic experimental tests were conducted in the Thomas M. Murray Structures Laboratory at Virginia Tech. The large-scale experiments validated the system performance and provided data on the boundary frame forces, infill …
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Cognitive Approaches To The Explanation Of Gambling Behaviour: An Evaluation
… be a good predictor of the levels of play. Four large scale experiments are presented focusing on the Illusion of Control, particularly the order effects originally observed by Langer and Roth (1975). Drawing on Hogarth and Einhom's (1992) belief adjustment model an adjusted methodology is …
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Nonparametric High-dimensional Models: Sparsity, Efficiency, Interpretability
… We develop two toolkits that are scalable to large number of samples and large set of pairwise interactions. In the second part, we consider tree ensemble learning. In this setting, we consider flexible and efficient formulation of differentiable tree ensemble learning. We study flexible loss …
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Enzymatic modification of the extractability of protein from soybeans (Glycine Max)
… from the soybean and enzyme preparation. In large scale experiments, when 40 ml (32 mg Nitrogen) of the enzyme preparation per gram of soy residue were used, about 60% of the soy residue protein was made available for water extraction and the yield of extractable protein in soy milk was …
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The Effects of Teacher-Student Racial and Ethnic Congruence on Student Math Learning
… ethnic matching empirically in the context of a large-scale randomized controlled study of an innovation for middle school mathematics learners. It extends the literature by (1) focusing on the relationship between student-teacher match and a specific, heavily documented situation with targeted …
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