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 63 for “"sensory data"”.
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Decoupling Motion from Sensory Data: An Emergent Property of a Neural Population in the Piriform Cortex
… brain maintains perceptual stability against the sensory perturbations introduced by active sampling behaviors.
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Classification of the characteristics of two mango cultivars harvested at different stages of maturity using gas chromatography and sensory data
… using both capillary gas chromatography and sensory analysis. A new portable gas chromatograph (SRI model 8610, Torrance, CA) equipped with a purge and trap was used and the area count of relevant peaks calculated. These results and those obtained from a sensory panel comprised the …
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Stability of Extra Virgin Olive Oil and Other Edible Oils Under Deep-Frying and Storage Stress: A Multivariate Study of Instrumental and Sensory Data
… chromatography (HPLC, GC), physicochemical, sensory, and spectroscopic methods, augmented by big data and advanced chemometrics. A key outcome is the development of a natural fortification approach using HTyr-rich olive fruit extract (OFE). Fortifying EVOO and various other olive oil types …
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Sensor network localization based on natural phenomena
… sensor network by analyzing sound and light sensory data from naturally occurring background phenomena as well as synthesized emulations of background transients. Our approach has two main phases: passive and active. The system enters an active mode when, its sensed region stays relatively …
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Recognizing actions using embodiment & empathy
… actions performed by a creature given limited data about the creature's actions, such as a video recording. I solve this problem in the case of a worm-like creature performing actions such as curling and wiggling. To attack the action recognition problem, I developed a computational model of …
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FlavorCharter: Development of a Framework for Quantifying and Visually Analyzing Flavor Perception
FlavorCharter introduces a data-driven research framework composed of a mobile platform for crowd-sourced sensory data collection and an interactive visualization environment for exploratory analysis. This integrated system bridges data acquisition and visual reasoning, enabling both large-scale …
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Distributed sensor network for sensing educational interaction in early childhood classrooms
… context through motion and ambient sound data. In this system, I designed a distributed sensor network protocol to collect sensory data, a synchronized network event scheduling scheme to establish a shared time basis, and a wireless data transfer protocol to facilitate data collection from …
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An IoT enabled system for marine data acquisition and cartography
… the- sis proposes an Internet of Marine Things data acquisition and cartography system in the marine environment using Very High Frequency (VHF) available on the majority of ships. The proposed system is equipped with sensors such as sea depth, tempera- ture, wind speed and direction, and the …
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Application of Self-Monitoring for Situational Awareness
… This knowledge-based solution derived from sensory data has many applications. The proposed system could monitor current individual situational status, automatically provide personal status as it changes, aid personal improvement, contribute to other self-monitoring systems, and enhance …
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Navigation system for a mobile robot incorporating trinocular vision for range imaging
… The software developed to control the robot uses sensory data obtained from ultra sound, infra red and tactile sensors, along with depth maps using trinocular vision. Robot navigation programs were written to navigate the robot and were tested in a simulated environment as well as the real world. …
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Perturbation based privacy for time-series data
… This leads to unprecedented opportunities for sensory data collection and sharing. The privacy challenges in these applications arise naturally as personal data are shared among untrusted entities in the community. This dissertation develops mathematical foundations for optimal perturbation of …
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Driving by Speaking: Natural Language Control of Robotic Wheelchairs
… to simulate navigation in a novel building using sensory data obtained from a virtual LIDAR. The natural language navigation control algorithms have been tested for destination-based and landmark-based navigation and perform well on simple commands.
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Learning Robust Terrain-Aware Locomotion
… based on learning excel at associating visual sensory data with suitable control policies but often fail to generalize across the gap between simulation and deployment settings. This thesis proposes a trajectory-based abstraction for locomotion through which model-free and model-based control …
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A Low Cost Localization Solution Using a Kalman Filter for Data Fusion
… a simple way to systematically integrate sensory data to provide a drivable and accurate position solution at a low cost. The data fusion is handled by a Kalman filter tracking five states and an undetermined number of asynchronous measurements. This implementation allows the user to …
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The use of Pulsed Energy (Flashbast) technology in the shelf life extension of selected marine and freshwater fish species stored in ice
… bags, and kept in ice for 21 days at 3°C. Sensory data showed no significant differences (pâ ¤ 0.05) in the appearance, odor, texture, or taste of cooked samples from treated and control fillets, regardless of species. Raw sea trout fillets developed "alien" odors upon treatment which …
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Learning 3D Modeling and Simulation From and For the Real World
… and simulate the 3D world from unconstrained sensory data. We investigate the full spectrum of dynamic 3D world understanding: from robot localization to recognition, from static 3D reconstruction to dynamic motion estimation, and from closed-loop simulation to 3D generation. By examining …
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Visualizing and analyzing human-centered data streams
… have the potential to also function as powerful sensory data collectors. These devices are able to record and store a variety of data about their owner's everyday activities, a new development that may significantly impact the way we recall information. Human memory, with its limitations and …
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Dynamic Bayesian Networks for Information Fusion With Applications to Human-Computer Interfaces
… This is due in particular to the lack of robust sensory data interpretation techniques. To deal with the task of interpreting single and multiple interaction modalities this dissertation establishes a novel probabilistic approach based on dynamic Bayesian networks (DBNs). As a generalization of …
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Accessorizing with networks : the possibilities of building with computational textiles
… garments and accessories that borrow and share sensory data. The system is designed to afford anyone the ability to build, rip apart and reconfigure intelligent objects. Because the user is able to 'accessorize' as desired, digital behaviors can always be changed to meet individual evolving …
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Learning discriminative models with incomplete data
… using multiple modalities, e.g. sensor data from video, audio, physiological changes etc. Often in real-world scenarios there can be incompleteness in the training data. There can be missing channels due to sensor failures in multi-sensory data and many data points in the training set …
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