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 9 of 9 for “"Augmented Space"”.
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Here&There : an augmented reality system of linked audio
… thesis, I designed a system for augmenting a space with linked audio. Using this system, individuals can associate audio clips with a location in real-world space. When an individual using the system passes through this augmented space, he or she can hear the audio clips that have been left by …
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On the Application of Machine Learning and Physical Modeling Theory to Causal Lifting Linearizations of Nonlinear Dynamical Systems with Exogenous Input and Control
… the system, because the state equations in the augmented space contain the time derivatives of input, hence anti-causal. Furthermore, finding effective observable functions for approximation with a low-order linear system remains an open question. Here, we present three methods for solving the …
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Screw image space and its application to robotic grasping
… to the study and extension of screw image space and its application to kinematic restraint and robotic grasping. In the study of restraint and robotic grasping, problems arise in relation to how to map the conditions and requirements of restraint in a special representational space, and how …
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Superconvergence and A posteriori Error Estimation for the Discontinuous Galerkin Method Applied to Hyperbolic Problems on Triangular Meshes
… meshes. We study the effect of finite element spaces on the superconvergence properties of DG solutions on three types of triangular elements. Superconvergence is described for structured and unstructured meshes. We show that the DG solution is O(hp+1) superconvergent at Legendre points on the …
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Generative modeling of dynamic visual scenes
… choice functions, a distribution over the spaces of partial orders is established, and inference can thus be performed thereon. The development of these models leads to significant challenges in probabilistic modeling and inference that need new techniques to address. We studied two …
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A reduced order systems approach to prediction of emergent behaviors of biological systems
… linear state equation in latent variable space. Furthermore, in order to predict multi-cell emergent behavior, the reduced-order linear models of single cells are used as components in a comprehensive framework based on linear superposition of mutually shared matrix dynamics. The linear …
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In Search of the DomoNovus: Speculative Designs for the Computationally-Enhanced Domestic Environment
… electronic objects, devices, protocols, virtual spaces, telematics, interaction, social media, and cyberspace) become an important and vital part of the home ecology, although they have the ability to transform the domestic experience and the understanding of what a personal space is. For this …
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High-Dimensional Optimal Path Planning and Multi-Timescale Lagrangian Data Assimilation in Stochastic Dynamical Ocean Environments
… planning of autonomous vehicles in the physical space augmented with other dynamical fields, and for the Bayesian nonlinear assimilation of the observations gathered by these vehicles along their trajectory. The resulting high dimensional optimal path planning and generalized Lagrangian Bayesian …
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Scientific Machine Learning for Dynamical Systems: Theory and Applications to Fluid Flow and Ocean Ecosystem Modeling
… learn rigorously within and outside of the model space as well as in that of the states and parameters. It employs Dynamically Orthogonal (DO) differential equations for adaptive reduced-order stochastic evolution, and the Gaussian Mixture Model-DO (GMM-DO) filter for simultaneous nonlinear …