Bridging the Gap Between CPUs and GPU with Out-of-Order SIMT

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand different languages. A task written for CPUs […]

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Brain dynamics in neurodegenerative

Degenerative brains diseases such as Parkinson?s disease (PD), are getting more common as the population ages. Ways to assess brain diseases, so that disease progression can be predicted and effects of treatment can be measured, are important. Brain imaging technologies are widely available, but extracting the important information from brain images is still a challenge. […]

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Identity Fraud Detection through Anomalous Login Patterns Mining

Identity fraud is spreading fast and causing more and more damages both financially and sociologically. Identity fraud occurs when a criminal impersonates another individual by taking on that person’s identity or by creating a fake identity for whatever reason. The project will investigate and develop a new model for identity fraud detection based on login […]

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Measurement Verification And Modelling of W-Band Imager and Harvester

Beyond the spectrum of visible light lies a window of frequencies called the W-Band which illuminates a world normally unseen to the naked eye and can be the vessel for energy without wires. In order to see this world normally unseen, we have developed a unique circuit topology which has shown signs of truly state-of-the-art […]

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Switching frequency optimization and advanced current control techniques for an electric vehicle traction drive

The performance of an electric vehicle traction drive, comprised of an electronic power converter feeding power to an electric motor, is defined by its control stages and different system parameters- such as switching frequency of the semiconductor devices of the converter. The proposed internship aims to determine changes in conventional control strategies and selection of […]

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Energy-Efficient and Robust Wireless Sensor Networking for Marine Environments

Interactio has a plan to build automated sensor packages for boats and recreational vehicles (RVs). The objective of the sensor packages is to measure water level, fuel flow, movement, etc. This project is focused on developing self-contained sensor packages that are rugged, wireless, cost-effective, do not require battery replacements, and can be used to sense […]

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PMU Based Load Modelling and Validation Methodology

Load Modeling accurately has been a fundamental and critical subject for many years in power industry. Recently with the deployment of Phasor Measurement Units (PMU), real time data to analyze the loads has become feasible. Previously, load modeling has been focused on using some models based on pre-assumed certain form of the models, as a […]

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Aiding Leak Detection in Pipelines Using System Identification – Year two

The ultimate goal of this project is to detect and localize leaks in pipelines in real time. Hifi Engineering has developed distributed fiber optic sensors. Measurements are obtained at evenly spaced intervals along the pipeline (called channels). This project aims to develop data processing tools to improve leak detection and localization. Many events occur along […]

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Smart technology use with Public Safety and first responders

This project aims at identifying, analyzing, and documenting the operational requirements for a technological solution that will replace the currently used, time consuming, paper-based, building safety plans. Upon arriving at an incident scene, first responders rush to these on-site safety plans to know the ins and outs and the safety details of the incident scene. […]

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Deep Learning Analysis for Missing Tooth Detection in Mining Monitoring Systems

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. […]

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Silicon Photonic Water Quality Sensor

Pesticide detection in water has become a high priority worldwide, from protecting the population from environmental contamination due to agricultural pesticides, and bio-threats from terrorist activities. An exhaustive characterization of water pollutants requires laboratory-based analyses which are inherently slow and expensive. Thus, regarding the above mentioned pesticide contaminations, developing a real-time and in-situ detection technique […]

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