Computer Vision Based Beacon Localization
The "Computer Vision Based Beacon Localization" project aims to determine the position of a beacon relative to an optical sensor. Employing advanced technologies like OpenCV and TensorFlow, this innovative endeavor navigates the challenge of interfacing multiple stages of deep learning technologies to work cohesively. Although the project is currently a work-in-progress, it already showcases significant strides in the application of computer vision and deep learning to real-world localization problems.
Molten Borate Salt Rheological Studies
Molten Salt Research Reactor Gas Dynamics Analysis
ARPA-E Molten Salt Pump Analysis and Development
Molten Salt Reactor Experiment Xenon Analysis
Gamma Camera Modeling and Simulation
The "Gamma Camera Modeling and Simulation" project involved the creation of a ray-tracing code for parametric gamma camera designs, addressing the limitations of Monte Carlo methods due to restricted computational resources. This challenge was overcome by developing a C# library for gamma ray tracing and attenuation modeling in three dimensions. This novel code filled a gap between simpler programs such as Microshield and more complex ones like MCNP. The successful outcome was a unique tool that enabled a comprehensive parametric analysis of various gamma camera designs.
Mechatronic Positioning System
The "Mechatronic Positioning System" was a meticulously crafted project focusing on the design, development, and construction of a modular, mobile positioning system capable of accurate actuator placement within 1mm precision across a 3m x 3m area. A key application involved the positioning of an autonomous rail-based carriage relative to a target using LIDAR technology. The journey of this project was comprehensive, spanning from initial conceptual design through detailed design, procurement, construction, and finally, testing and debugging of the system. A significant challenge of managing slip in the friction drive was effectively tackled using a tensioning spring and integrating full feedback into the control algorithm. This project uniquely transitioned from concept to a fully operational prototype in under four months, leveraging friction drive and LIDAR technologies. The project's culmination was marked by the successful production and comprehensive testing of the system, showcasing its remarkable precision and the promise of mechatronics and LIDAR technology in positioning systems.
Plasma Chamber and Neutron Generator
The "Plasma Chamber and Neutron Generator" project involved the design, development, and construction of a plasma chamber utilizing inertial electrostatic confinement to generate plasma. When loaded with deuterium, the chamber could potentially facilitate nuclear fusion and produce 2.45 MeV neutrons through the DD reaction. The main challenge was sourcing high vacuum equipment due to the scarcity of suppliers in Canada. This was overcome, enabling the use of inertial electrostatic confinement (IEC), high vacuum, two stages of vacuum gauges (Pirani and ionization), and a Cockcroft-Walton voltage multiplier. This project marked the first attempt at creating a "fusor" type device in Canada, with the successful construction and testing of the plasma chamber serving as the final result.
Optical Tomography Lab
The "Optical Tomography Lab" project was an innovative endeavor designed to provide remote laboratory exercises for a radiological health program. The project revolved around developing exercises involving a CT machine, detailed image processing, and the implementation of "contrast-enhanced subtraction." A significant challenge was the presence of undocumented data formats that necessitated extensive reverse engineering. To tackle this, a blend of MATLAB and C# was used to develop algorithms, and a secure remote access system was built utilizing RDP. This pioneering project allowed students to conduct laboratory exercises entirely remotely with minimal supervision, representing a significant stride in flexible learning. The project concluded successfully, with the lab exercises fully developed and ready for student instruction.
AmBe Neutron Source Modeling
The "AmBe Neutron Source Modeling" project was centered around the detailed modeling of the Americium Beryllium neutron source at Ontario Technical University using MCNP for precise dosimetry and safety calculations. Navigating through limited data availability for the AmBe Neutron spectrum, the project managed to utilize relevant data published by the IAEA to achieve its goals. This work marked the first time the neutron source had been modeled and was undertaken shortly after commissioning, demonstrating a high degree of responsiveness and technical competence. The project culminated successfully, with the resultant model being later utilized in research work, thereby validating the accuracy and applicability of the developed model.
Electrostatic Radon Behavior
The "Electrostatic Radon Behavior" project was an insightful investigation into the patterns of radon and its progeny accumulation on electrostatically charged surfaces, such as sweaters. One of the primary challenges was the difficulty of collecting samples in a reproducible manner due to the usage of balloons. This was addressed using a unique combination of charged balloons, time series gamma spectrometry, GM counting, alpha spectrometry, and alpha/beta discrimination. The study stood out as the first in-depth analysis of radon and radon progeny deposition on a latex balloon. It led to the pivotal discovery that the emanations largely originated from radon progeny rather than radon itself, significantly contributing to the understanding of radon behavior and its implications on electrostatic surfaces.