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 25 for “"multiple algorithms"”.
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Distributed estimation algorithms for autonomous systems
… and applications of distributed estimation algorithms. It was found that for specific objective functions, general meshes of distributed agents may estimate a state while maintaining a consensus over its PDF and satisfying communication/localization objective constraint at the same time. …
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High-order tuners for convex optimization : stability and accelerated learning
Iterative gradient-based algorithms have been increasingly applied for the training of a broad variety of machine learning models including large neural-nets. In particular, momentum-based methods, with accelerated learning guarantees, have received a lot of attention due to their provable …
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PetaBricks : a language and compiler for algorithmic choice
… one-size-fits-all solution for high performance algorithms when considering different choices for data distributions, parallelism, transformations, and blocking. The best solution to these choices is often tightly coupled to different architectures, problem sizes, data, and available system …
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Designing a congestion control plane datapath with QUIC
… datapath and evaluate various congestion control algorithms running on top of QUIC. The evaluation focuses on four aspects: (1) Do algorithms written on CCP have the same performance as QUIC algorithms? (2) Do CCP congestion control algorithms behave similarly to their native QUIC counterparts, …
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Drive Quality Improvement and Calibration of a Post-Transmission Parallel Hybrid Electric Vehicle
… quality of the vehicle developed for EcoCAR 3. Multiple algorithms are developed to address specific aspects of drive quality that can only be done with the powertrain developed. This begins by researching the control strategies used in modern automatic transmissions, and moves into the modeling …
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Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence.
… the use of evolved Bayesian networks learning algorithms based on computational intelligence meta-heuristic algorithms. These algorithms are applied to a new domain provided by the exclusive data, available to this project from an industry partnership with ODS-Petrodata, a business intelligence …
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A statically scheduling compiler for a parameterized numerical accelerator
… numerical accelerator that parallelizes and maps algorithms to instances of a processor template. The processor template that makes up the numerical accelerator is a collection of floating point units (FPUs) connected to memories through an interconnect structure. The task of the compiler is to …
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An Evaluation Framework for Automated Audio Description
… framework for assessing the efficacy of algorithms in automating the audio description process. Although various algorithms can replace human audio describers in certain steps, there are no key performance indicators (KPIs) for analysis and comparison. Furthermore, there is no …
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Pitch Estimation of Musical Signals
… A confidence metric is used to select from multiple algorithms. The resulting algorithm improves on previously published methods for estimating musical pitch in several ways: improved accuracy, improved immunity to octave errors, improved ability to follow transient pitch changes, and …
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Autotuning programs with algorithmic choice
… parallel language and compiler where having multiple implementations of multiple algorithms to solve a problem is the natural way of programming. Choices are provided in a way that also allows our compiler to tune at a finer granularity. The PetaBricks compiler autotunes programs by making …
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The Development and Deployment of Mobile Apps and Server Platform for Real-World Screening of Pulmonary and Cardiovascular Disease in Low-Resource Areas
… network machine learning and data processing algorithms implemented in Python. While several different server platforms have been demonstrated by our group over the past few years, a great deal of additional development was required to deploy these technologies in a real-world scenario. In …
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Multi-Model Semantic Interaction for Scalable Text Analytics
… and mapped to underlying models to steer multiple algorithms simultaneously and at varying levels of data scale. This is represented in an extendable multi-model semantic interaction pipeline. The lessons learned from this dissertation work can be applied to other visual analytics systems, …
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Algorithms for passive dynamical modeling and passive circuit realizations
… difficult to solve. In this thesis, we propose multiple algorithms that fit linear passive multiport dynamical models to given frequency response samples. The algorithms are based on convex relaxations of the original non-convex problem. The proposed techniques improve accuracy and computational …
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Embedded Computing for Wavefront Control on Future Space Telescopes
… real-time execution of adaptive optics control algorithms places unprecedented demands on spaceborne processors. Previous work has determined that processing limitations can degrade the achievable contrast and scientific yield of future exoplanet imaging missions. In this work, we quantify the …
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Design and Control of Versatile High-Speed and Large-Range Atomic Force Microscopes
… harsh opaque liquids, (iii) establish automation algorithms to reduce operational overheads associated with experiment setup and controller tuning, and (iv) introduce custom design modifications resulting in affordable AFMs for engineering education. These new capabilities are primarily enabled …
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Towards a Polyalgorithm for Land Use and Land Cover Change Detection
… (LULCC) is time series analysis (TSA). Several algorithms for time series analysis have been proposed by various groups in remote sensing; more algorithms (that can be adapted) are available in the general time series literature. However, in spite of an abundance of algorithms, the choice of …
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Rational Identification of Neuropilin-1 Inhibitors: From Deep-Learning to Drug Repurposing
… library using focussed and blind docking with multiple algorithms. Although no definitive hits were confirmed experimentally, interaction hypotheses and prioritisation rules were refined to complement peptide development. Also another small molecule can be developed based on the identified …
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Interplanetary Trajectory Optimization with Automated Fly-By Sequences
… such as component organization, control algorithms, and trajectories, can be optimized using a variety of algorithms or solvers. Each solver has intrinsic strengths and weaknesses when applied to a given optimization problem. One way to mitigate limitations is to combine different solvers …
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Wireless Channel Equalization in Digital Communication Systems
… is not based on one methodology but several algorithms and configurations that are proposed and examined to fight the ISI problem. There are two main categories of channel equalization techniques, supervised (training) and blind unsupervised (blind) modes. We have studied the application of a …
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