Now showing items 1-10 of 287
Algorithm-Based Efficient Approaches for Motion Estimation Systems
(Georgia Institute of Technology, 2007-11-14)
Algorithm-Based Efficient Approaches for Motion Estimation Systems Teahyung Lee 121 pages Directed by Dr. David V. Anderson This research addresses algorithms for efficient motion estimation systems. With the ...
Efficient and Robust Approaches to the Stability Analysis and Optimal Control of Large-Scale Multibody Systems
(Georgia Institute of Technology, 2007-06-14)
Linearized stability analysis methodologies, system identification algorithms and optimal control approaches that are applicable to large scale, flexible multibody dynamic systems are presented in this thesis. For ...
New results in dimension reduction and model selection
(Georgia Institute of Technology, 2008-03-26)
Dimension reduction is a vital tool in many areas of applied statistics in which the dimensionality of the predictors can be large. In such cases, many statistical methods will fail or yield unsatisfactory results. ...
Microstructure-sensitive creep-fatigue interaction crystal-viscoplasticity model for single-crystal nickel-base superalloys
(Georgia Institute of Technology, 2017-04-06)
An enhanced generation temperature-dependent crystal viscoplasticity (CVP) model targeting the creep-fatigue interactions in Ni-base superalloys single-crystals is developed. The model is fitted to experimental data obtained ...
Statistical and geometric methods for shape-driven segmentation and tracking
(Georgia Institute of Technology, 2008-03-05)
Computer Vision aims at developing techniques to extract and exploit information from images. The successful applications of computer vision approaches are multiple and have benefited diverse fields such as manufacturing, ...
Modeling and control of linear motor feed drives for grinding machines
(Georgia Institute of Technology, 2008-01-08)
One of the most common goals in manufacturing is to improve the quality and accuracy of the parts being fabricated without reducing productivity. Aiming at this goal, many different manufacturing processes have been ...
Efficient pac-learning for episodic tasks with acyclic state spaces and the optimal node visitation problem in acyclic stochastic digaphs.
(Georgia Institute of Technology, 2008-12-19)
The first part of this research program concerns the development of customized and easily implementable Probably Approximately Correct (PAC)-learning algorithms for episodic tasks over acyclic state spaces. The defining ...
MPEG-4 AVC traffic analysis and bandwidth prediction for broadband cable networks
(Georgia Institute of Technology, 2008-06-30)
In this thesis, we analyze the bandwidth requirements of MPEG-4 AVC video traffic and then propose and evaluate the accuracy of new MPEG-4 AVC video traffic models. First, we analyze the bandwidth requirements of the ...
Parallel algorithms for direct blood flow simulations
(Georgia Institute of Technology, 2012-02-21)
Fluid mechanics of blood can be well approximated by a mixture model of a Newtonian fluid and deformable particles representing the red blood cells. Experimental and theoretical evidence suggests that the deformation and ...
Model-based user interface design by demonstration and by interview
(Georgia Institute of Technology, 1995-12)