Browsing UT Electronic Theses and Dissertations by Department "Computer Sciences"
Now showing items 1-20 of 576
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A CleanRoom approach to bring your own apps
(2013-05)Today, on mobile devices such as smartphones and tablets, hundreds of thousands of software apps provide useful services to users. Users use these apps to search and browse the web, perform financial transactions, emailing, ... -
A client-centric approach to transactional datastores
(2020-05-05)Modern applications must collect and store massive amounts of data. Cloud storage offers these applications simplicity: the abstraction of a failure-free, perfectly scalable black-box. While appealing, offloading data to ... -
A crowd-sourcing tool for collecting task-oriented spoken dialogues
(2023-04-21)Dialogue skills are crucial in everyday life, and machine learning tools that model and analyze data can be essential in helping humans with dialogue-based tasks. However, most dialogue models rely solely on text data, ... -
A deep learning framework for model-free 6 degree of freedom object tracking
(2017-05)In this work we address the challenging task of 6 degree of freedom (DoF), model-free object tracking. We propose a new deep learning framework that explores the merit of using weakly supervised semantic segmentation as ... -
A distributed avionics software platform for a liquid-fueled rocket
(2020-06-25)A distributed avionics software platform was developed as part of the Texas Rocket Engineering Lab’s efforts to become the first university lab to launch a liquid-fueled rocket to the edge of space (100km) and recover it ... -
A hierarchical approach to formal modeling and verification of asynchronous circuits
(2019-06-17)The self-timed (or asynchronous) approach to circuit design has demonstrated benefits in a number of different areas for its low energy consumption, high operating speed, composability, and modularity. Nonetheless, the ... -
A modular attention hypothesis for modeling visuomotor behaviors
(2021-07-24)In this dissertation, we explore the hypothesis that complex intelligent behaviors, in vivo, can be decomposed into modules, which are organized in hierarchies and executed in parallel. This organization is similar to a ... -
A multi-scale framework for graph based machine learning problems
(2017-05)Graph data have become essential in representing and modeling relationships between entities and complex network structures in various domains such as social networks and recommender systems. As a main contributor of the ... -
A real-time throughput model based particle filter program generator on GPU : a real-time analysis
(2022-04-11)State estimation plays an important role in cyber-physical systems. An accurate state of the physical plant is required by the controller to compute optimal control signals that are sent to the actuators to move the physical ... -
A second generation of nonrepudiation protocols
(2017-09-13)A non-repudiation protocol from party S to party R performs two tasks. First, the protocol enables party S to send to party R some text x along with sufficient evidence (that can convince a judge) that x was indeed sent ... -
Accelerating deep learning training : a storage perspective
(2021-12-01)Deep Learning, specifically Deep Neural Networks (DNNs), is stressing storage systems in new ways, moving the training bottleneck to the data pipeline (fetching, pre-processing data, and writing checkpoints), rather ... -
Accelerating evolution through gene masking and distributed search
(2023-04-17)In building practical applications of evolutionary computation (EC), two optimizations are essential. First, the parameters of the search method need to be tuned to the domain in order to balance exploration and exploitation ... -
Accelerating graph computation with system optimizations and algorithmic design
(2021-08-06)Most data in today's world can be represented in a graph form, and these graphs can then be used as input to graph applications to derive useful information, such as shortest paths in a road network, similarity between ... -
Accelerating virtualization of accelerators
(2021-01-21)The use of specialized accelerators is among the most promising paths to better energy efficiency for computationally heavy workloads. However, current software and system support for accelerators is limited, and no ... -
Access control in decentralized, distributed systems
(2006)Distributed systems with decentralized control, such as peer-to-peer systems, computing grids across multiple organizations, and compositional web services require a rethinking of basic issues in their design and ... -
Acoustic motion tracking and its application
(2017-05)Video games, Virtual Reality (VR), Augmented Reality (AR), and Smart appliances (e.g., smart TVs) all call for a new way for users to interact and control them. This thesis explores high precision acoustic motion tracking ... -
Acoustic sensing on smart devices
(2019-09-18)Smart devices, such as smartphones, smartwatches, and smart speakers, become increasingly popular and change people's daily life in a profound way. However, the usability and functionality of these devices are still limited ... -
Action selection in modular reinforcement learning
(2014-08)Modular reinforcement learning is an approach to resolve the curse of dimensionality problem in traditional reinforcement learning. We design and implement a modular reinforcement learning algorithm, which is based on three ... -
Active learning and compilation of higher order schema integration queries
(2005)After nearly 30 years, database integration remains the province of engineers and application developers. In an informal proof, Krishnamurthy, Litwin and Kent [KLK91] demonstrated that only higher order relational languages ... -
Active learning of an action detector on untrimmed videos
(2013-05)Collecting and annotating videos of realistic human actions is tedious, yet critical for training action recognition systems. We propose a method to actively request the most useful video annotations among a large set of ...
