Fusing Structural, Functional and Diffusion Tensor MR Image for Neurological Disorders

Structural Magnetic Resonance Imaging (sMRI) provides high-quality images of soft tissue through the use external magnetic fields and electromagnetic radio-frequency pulses to excite protons abundant in the human body. Diffusion Tensor MRI (dtMRI) is a unique, non-invasive imaging technique capable of measuring the anisotropic diffusion of water molecules in biological tissues.

Correlating Intrusion Scenarios with an Unsupervised Learning Model

The increasing sophistication of distributed attacks on networked infrastructure has resulted in a requirement for tools capable of abstracting and alerting network managers of network status across multiple data sources. The basic objective of this project is to provide a framework for correlating information from multiple network sources into a cohesive picture of system status. As such, it is necessary to provide a model capable of correlating information from both spatial and temporal information sources.

Rate-Distortion Optimized Streaming of Fine-Grained Scalable Video Sequences

Video streaming over the Internet is increasing in popularity. Many video objects are made available online and many users are streaming video everyday. In addition, the increasing processing power of personal computers, and the availability of high-speed Internet services, encourages users to demand more, higher-quality video content. To provide high-quality and to accommodate clients with various resources, fine-grained scalable (FGS) video coding has been proposed as part of the recent MPEG-4 and H.264 standards.

Data Mining in the VISTA Clinical Trials Database

The project aims to apply data mining in the VISTA clinical trails database at the Geriatric Medicine Research Unit. The data contains information about Alzheimer’s disease (AD) patients, some of whom received cholinergic treatment and some of whom did not receive this treatment. Because of the variability of responses to treatment as well as the variability in the course of disease progression, it is difficult to identify the patterns robustly associated with improvement, which is crucial in justifying the choice of treatment.

Change Detection in Network Data Streams for Alcatel

Alcatel manufactures telecommunications equipment, ranging from telephone handsets to internet routers. The Research & Innovation group within Alcatel is mandated with evaluating new technologies and new ideas that may benefit Alcatel products, thereby benefiting Alcatel’s customers, and ultimately the end users. One current area of research is the ability to detect when the behavior of a stream of traffic has changed, and to then reallocate resources suitable for the changed stream.

Wireless Architectures for Smart Networked Toys

Cistel Technology Inc. is a progressive information technology (IT) services company with a long-standing relationship in the high tech sector and the Federal Government. This internship proposal has both a research and a development component. The research component will concentrate on accessing methods under the IEEE 805.15 protocol that will be used in the prototypes of the smart wireless toys. The access part involves both scheduling of the nodes (toys) in order to interact in an efficient well-controlled manner, and also issues on interference at the physical layer.

Intensity Adjustments for Authentic Image Display and Perception in High Dynamic Range Imaging

New High dynamic range (HDR) display devices are being developed which have contract ratios 300 times greater than existing LCD displays. These HDR displays are the first that are able to fully represent the range of intensities that are produced by illuminated objects on a sunny day, and are joining HDR cameras and file formats in creating a pipeline from image capture/construction to display that is able to maintain much higher image fidelity than was previously possible.

Applying Dynamic Constraint Scheduling Technology to the Efficient Management of Emergency Responders

In this project, the intern research team is proposing to research and develop a Decision Support System (DSS) based on current research in constraint-based optimization, dynamic scheduling and probabilistic modelling. The Ottawa Paramedic Services (OPS) can use this system in their command and control centre to improve its operation and as a result improve the lives of the residents of Ottawa. The system is supposed to handle the burden of the combinatorial complexity while the human operator makes high level, strategic and tactical decisions.

LCD Colour Correction of LED Back Light Arrays

A High Dynamic Range display is a display that can reproduce a wider range of image intensities than typical displays - that is, a range more closely matching the capabilities of the human visual system. Specifically, BrightSide Technologies’ DR37-P display can produce an eye-squinting 4000 cd/m2 (as bright as a ceiling fluorescent light) or as dim as 0 cd/m2.

Efficient Mining of Agro-Meteorological Data

Data mining refers to non-trivial extraction of implicit, previously unknown, and potentially useful information from data. In this project, the intern will apply data mining techniques to agro-meteorological data provided by Manitoba Agriculture, Food and Rural Initiatives (MAFRI). Specifically, he plans to develop mathematical solutions to analyze both current and historic weather data as well as related information such as crop yields, soil inventories, and crop management practices.

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