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 192 for “"Computational burden"”.
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Online clustering with single-pass topology based fuzzy clustering algorithm
… methods such as K-Means, C-Means and others are computationally expensive. The computational burden of these methods increases non-linearly with the size of the data set. In addition these methods usually require a good amount of supervised knowledge yielding a non-unique solution. For real-time …
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Representation Of Dam-Breach Geometry Using Quadtree Local Mesh Refinement
… as dam breach geometry result in significant computational burden for these types of simulations. This manuscript details the research done to facilitate the implementation of quadtree local mesh refinement to represent dam breach geometry in an existing two-dimensional flood model and to test …
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SafeGENIE: Secure and federated linear mixed model association tests
… limited privacy protection, due to the high computational burden of LMMs under existing secure computation frameworks. Here we introduce SafeGENIE, an efficient and provably secure algorithm for LMM-based association studies, which allows multiple entities to securely share their data to …
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A continuum Approach to Power system simulation
… to provide better resolution for comparable computational burden. It is important to note that, the computational burden required to obtain solutions for PDEs involved in the continuum representation varies notably with the solver implementation. The contributions of this dissertation are: a) …
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A Bayesian Fusion Approach and Its Application to Integrating Audio and Visual Signals in HCI
… into a one-step calculation, so as to avoid the computational burden of high/infinite-dimensional nonlinear transformations.
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Algorithmic and implementation aspects of on-line calibration of Dynamic Traffic Assignment
… Although numerically promising, the computational complexity of these base-line algorithms remain high and their application to large networks is still questionable. To address the issue of scalability, this thesis proposes novel extensions of the aforementioned GD and EKF algorithms. …
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Quick Evaluation of Small Body Gravitation
… We present three methods that alleviate the computational burden of evaluating gravitational force near a small body: (i) adaptive polynomial interpolation, (ii) adaptive polynomial least squares approximation, and (iii) acceleration via specialized, commodity hardware. Each method is …
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Utility functions for ceteris paribus preferences
… forms of independence conditions reduce the computational burden. We present heuristics using utility independence and constraint based search to achieve efficient utility functions.
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Preconditioning techniques for stochastic partial differential equations
… substantial reduction in the storage and the computational burden. As a by-product we end up addressing also classical issues related to long time integration of stochastic PDEs.
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Accelerating Gauss-Newton filters on FPGA's
Radar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use. The now-common Kalman Filter was developed in the 1960's specifically for the purposes of …
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Optimal Finite Control Set Model Predictive Control Strategies for Induction Motor Drives
… a conventional FCS-MPTC algorithm has a large computational burden due to a large number of available voltage vectors as in multi-level inverters or discrete SVM MPC technique and B) the presence of weighting factors in the cost function with several control objectives. This thesis developed a …
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Multiscale Modeling and Uncertainty Quantification of Multiphase Flow and Mass Transfer Processes
… In order to quantify this uncertainty in a computational model, it is necessary to include the full range of uncertainty in the model. Currently, there are two major technical barriers to achieving this: (1) in many situations -particularly those involving multiscale phenomena-the stochastic …
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Kerberos phone secure messenger
… an advantage in mobile phones helps reduce the computational burden and power consumption if compared with public key cryptography. KSPM achieves high standards in terms of security, performance and power consumption. This thesis explains Kerberos authentication and illustrates the software …
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Sensitivity methods and slow adaptation
… number of adjustable parameters. Apart from the computational burden, an excessive parameterization imposes, a common assumption used to prove global stability requires the regressor to be Persistently Exciting (PE). This PE requirement has been tied to the spectral content of the system input, …
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VIDEO TEMPLATE MATCHING ALGORITHM FOR CONSTRUCTION PROJECTS---A HADAMARD DOMAIN APPROACH
… the most essential role because of its high computational complexity and its ability to deal with considerable redundancy. However, commonly used template-matching techniques in spatial domain cannot meet all of the requirements for all construction applications. Some methods have heavy …
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Multidimensional and multivariate empirical mode decomposition
… identification in multivariate EMD come with a computational burden rendering it unsuitable for the large computational demands of multidimensional signal processing. The current work introduces an alternative approach to multivariate EMD, and by combining it with existing fast and adaptive …
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Nonlinear controller design from Plant data
… can be implemented online without heavy computational burden.
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Contributions to Bayesian inference via spectral methods
… of Bayesian inference in this setting is the computational burden, especially for large data. Using ideas from Fourier analysis, the original signal (data) domain can be transformed into the frequency domain, which portrays how the signal is decomposed across different frequencies, which is …
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Deep learning models for defect and anomaly detection on industrial surfaces
… persist, such as defect variability and the computational burden. This thesis presents specialized deep learning architectures addressing defect classification, segmentation, and detection in textiles, civil engineering, and manufacturing. For textiles, a novel system merges capsule networks …
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Planning and control for quadrotor flight through cluttered environments
… been limited to sparse environments due to the computational burden associated with planning for a large number of obstacles. We hypothesized that it would be possible to do efficient planning and robust execution in obstacle-dense environments using the novel Iterative Regional Inflation by …
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