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 10 of 10 for “"Autonomous detection"”.
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Deploying drones for autonomous detection of pavement distress
… and require technical expertise. Meanwhile, autonomous systems are increasingly deployed in place of human operators where tasks are monotonous and where risk of exposure to hostile conditions is great. As a time-consuming but highly repetitive task, road inspection presents a promising …
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Autonomous detection and characterization of nuclear materials using co-robots
… gathered using hand held detectors or other detection systems requiring constant human interaction. This results in direct exposure to radiation of the individual performing the survey. Co-robots can coordinate computer algorithms and human input to determine the most efficient and accurate …
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Autonomous Detection of Nearby Loss of Generation Events for Decentralized Controls
A broad scope of this dissertation is to verify that a nearby loss of generation event in power system can be distinguished from similar remote disturbances by analyzing the resulting local modes of oscillation. An oscillation-based index derived from methods like Fourier transform, sinc filters …
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On the construction of an autonomous 3D machine vision system and the development of techniques for interpreting its output data
… successful development of a prototype of a fully autonomous computer peripheral from fast, hardwired circuitry which generates a 3D mapping of its field of view in a bank of dual ported memory. The system uses the standard active triangulation technique known as "strip-lighting" but integrates the …
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Artificial Lateral Line Canal System for Underwater Disturbance Sensing
… to sonar, it offers a passive mode of detection, which could allow for the realization of stealth monitoring capabilities. An example would be for the real-time autonomous detection and tracking of underwater targets. In order to create an artificial lateral line canal, flow sensors are …
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Spectral feature classification of oceanographic processes using an autonomous underwater vehicle
… using an underwater moving platform such as an Autonomous Underwater Vehicle (AUV). The "mingled spectrum principle" is established which concisely relates observations from a moving platform to the frequency-wavenumber spectrum of the ocean process. It clearly reveals the role of the AUV speed …
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Spectral feature classification of oceanographic processes using an autonomous underwater vehicle
… using an underwater moving platform such as an Autonomous Underwater Vehicle (AUV). The "mingled spectrum principle" is established which concisely relates observations from a moving platform to the frequency-wavenumber spectrum of the ocean process. It clearly reveals the role of the AUV speed …
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Robotic Inspection Using Learning Based Impact Echo For Civil Infrastructure
… shift towards learning-based methods for the autonomous interpretation of IE signals. However, learning-based IE methods lack generalization and robustness. These methods are highly sensitive to changes in experimental parameters, such as geometry of the structures, defect characterization, …
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Reflectarray Antenna based FMCW Radar System Development: High Isolation Radar Antenna Design and Feasibility of Affordable Switched-Beam for the UAV Detection
… mounted on unmanned aerial vehicles (UAVs) for autonomous detection/tracking or hand-carried by soldiers in the war field. To achieve this goal, it was necessary to adopt a passive gain boosting technique to satisfy the low power and high gain requirements. The reflectarray antenna technique was …
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Electrokinetic Methods and Applications in Australian Aquifer Settings: High-Dimension Electrical Tomography Imaging and Neural Network Filtration Techniques
… aquifer to investigate novel techniques in both autonomous groundwater flow presence investigation, and environmental noise filtering methodologies for a given self-potential dataset. This research endeavors to draw further conclusion on the self-potential methods prospective as a value-adding …