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 73 for “"Geometry-based"”.
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A Geometry-Based Motion Planner for Direct Machining and Control
… the DMAC system that operates directly off path geometry without pre-tessellation. The motion planner is developed with the intent to process Bezier curves. The motion planning module includes a deterministic predictor-corrector-type curve interpolator, a dynamics limiting module, and a two-pass …
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Geometry-based video prediction with camera motion for mobile robotics
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Geometry-based structural analysis and design via discrete stress functions
… for 2D and 3D reciprocal form and force diagrams based on reciprocal discrete stress functions. This research combines and reinterprets knowledge from Maxwell’s 19th century graphic statics, projective geometry and rigidity theory to provide an interactive design and analysis framework through …
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Topology and geometry-based methods for quantifying the complexity of protein structures
… provides a new classification of tauopathies based on the global and local structures of different tau filaments. This novel classification reveals more subtle differences in the structures of diseases with different pathologies that were previously unknown. Moreover, these tools also predict …
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Geometry-based finite volume methods for modelling transport on micro-CT images
… to predict the local conductivity of each voxel based on the training data, bypassing the iterative local largest inscribed radius algorithm. The method has a minor impact on flow results, while the computation time decreases significantly. Rock images commonly contain multiscale pores that are …
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A Differential Geometry-Based Algorithm for Solving the Minimum Hellinger Distance Estimator
Robust estimation of statistical parameters is traditionally believed to exist in a trade space between robustness and efficiency. This thesis examines the Minimum Hellinger Distance Estimator (MHDE), which is known to have desirable robustness properties as well as desirable efficiency properties. …
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Derived algebraic geometry
… foundations for a theory of derived algebraic geometry based upon simplicial commutative rings. We define derived versions of schemes, algebraic spaces, and algebraic stacks. Our main result is a derived analogue of Artin's representability theorem, which provides a precise criteria for the …
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Competitive Algorithms and System for Multi-Robot Exploration of Unknown Environments
… exploration algorithms and computational geometry based exploration algorithms. The algorithm is based on a single-robot polygon exploration algorithm and a tree exploration algorithm. We show that the exploration time of our algorithm is competitive (as a function of p) with respect to …
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Effects of Surface Microstructure on the Strength of Adhesively Bonded Structures
… a closed-form solution for the specimen geometry based on a ""beam on an elastic foundation"" model. The experimental observations established a direct relationship between the surface roughness of aluminum substrates and the fracture resistance of the aluminum-epoxy interface. This …
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Constrained Buckling of Variable Length Elastica
… solve these constrained buckling problems; (1) a geometry-based method, and (2) an optimal control method. The geometry-based method is used to analyze the post-buckling response of a weightless planar elastica subjected to unilateral constraints. The method rests on assuming a deformed shape of …
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Orbital Level Understanding of Adsorbate-Surface Interactions in Metal Nanocatalysis
… catalytic activity of metal nanoparticles using geometry-based reactivity descriptors of surface atoms and kinetic analysis of reaction pathways at various types of active sites. We show that orbitalwise coordination numbers 𝐶𝑁<sup>α</sup> (α = 𝑠 or 𝑑) can be used to predict chemical reactivity …
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COMPOSE: Compacted object sample extraction a framework for semi-supervised learning in nonstationary environments
… (COMPOSE) is introduced - a computational geometry-based framework to learn from nonstationary streaming data - where labels are unavailable (or presented very sporadically) after initialization. The feasibility and performance of the algorithm are evaluated on several synthetic and …
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Investigation of velocity gradient as driving force of flow pulsation in fuel assemblies
… pulsation. A sensitivity study on rod-bundle geometry, based on an experiment by Bardet and Balaras at George Washington University, was conducted with a URANS method in transient simulations using the commercial software Star-CCM+. A linear relationship was observed between crossflow mixing …
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Contraction analysis of nonlinear systems
… inspired from fluid mechanics and differential geometry. Based on a differential analysis of convergence, these results may be viewed as generalizing the classical Krasovskii theorem, as well as linear eigenvalue analysis. A central feature is that convergence and limit behavior are in a sense …
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Control of carbon nanotube stiffness via tunable fabrication process parameters that determine CNT geometry
… parameters that may be used to control the geometry of multi-walled carbon nanotubes (MWCNTs). The results may be used to grow MWCNTs with desired stiffness properties. This is important to devices that rely on the compliance of MWCNTs in order to achieve specific performance requirements, …
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The impact of urban geometry on cognitive maps
… investigates the relationship between urban geometry and cognitive maps. It is focused on the question of how human cognition of the built environment is affected by urban geometry. Building on the foundations of Kevin Lynch's studies of environmental perception (Lynch, 1960) and recent …
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Design of effective traveling wave sloshing absorbers for structural control
… of the conventionally used rectangular geometry based on energy dissipation performance. Appropriate selection of water depth and container width is found to optimise energy dissipation within this shape. Further improvement in control performance is achieved by modifying the shape of …
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Self-Supervised Learning for Geometry
… fundamental problems in robotic vision, scene geometry understanding and camera tracking. While both tasks have been the subject of research in robotic vision, numerous geometric solutions have been proposed in the past decades. In this thesis, we cast the geometric problems as machine learning …
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DEM-based numerical simulation of drainage plows and dewatering trenchers
… are carried out to perform a simulation-based parametric optimization of drainage plow geometry based on the predicted forces, pressure distributions and topsoil placement. Two types of plows, parallel link (PL) and double link (DL), operating in sand and clay soils at various plowing …
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