The Scotsburn Dairy Group produces over 300 ice cream products for many customers in a highly variable, seasonable market. Currently, no software packages exist in the market to help small to medium-sized dairies manage their production planning and scheduling. By working with Scotsburn, a production scheduling tool will be created which is tailored to the complex needs of a dairy production facility. This tool will help Scotsburn to plan their production efficiently and effective to make the most of the capacity and remain competitive.
Pharmaceuticals are among the most commonly used and important healthcare treatments in Canada. Third party healthcare payers, such as provincial departments of health and private insurers such as Blue Cross and Green Shield, use a variety of tools and techniques to balance the access, cost and quality of medications. Collectively, these tools and techniques are known as drug policies and they include things such as formulary restrictions, prior authorization forms and patient co-payments and deductibles.
Currently, surgeons often reconstruct the middle ear to restore hearing with artificial prostheses that reconnect the middle ear bones that have been destroyed. This process is unpredictable and these prostheses are available in hundreds of different forms from many companies. The supervisor of this project runs one of the foremost laboratories in the world in exploring the vibration transmission properties of prostheses.
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.
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.
The intern’s project aims to investigate how cognitive and functional abilities of patients treated for mild/moderate Alzheimer’s disease (AD) change over time. Despite of neurodegenerative nature of AD, these changes might occur in every direction. According to our preliminary investigation, both improvement and worsening are possible. We will compare the long-term changes during 48 months of the follow-up and identify the probabilities of any change over a short-term (1 year) and a longer-term (4 years) follow-up.
Behavioural detectors for intrusion detection require training in order to correctly characterize the operation of a service – protocol combination. Implicit in this is the assumption that the learning algorithm will scale to large datasets and provide simple solutions. This work will address both requirements under a Genetic Programming context through the use of a combined multi-objective, host-parasite model. It has already been demonstrated that both schemes are appropriate independently.
Current software development and refactoring practices promote the modularization of software and encourage the interoperation of software components. The emergence of service oriented architectures is now providing the incentive to promote even more modularity and interoperation between multi-vendor, multi-language, and multi-environment software. This project aims to develop a better understanding of these growing interoperation constraints in the context of large web applications.
The research will identify aspects of a location-aware map application that could be automated (either directly or with user guidance) to reduce the amount of interaction required and to make effective use of the display space for smart phones. The research will involve designing a prototype location-aware map application and extending the prototype to include intelligent zoom features to effectively and intelligently present pertinent location information.
Schizophrenia is a complex neurodevelopmental disorder that affects approximately 1% of the population worldwide. Although research on schizophrenia is ongoing, little is still known about its origin. Schizophrenia is thought to result from a combination of genetic and environmental factors that ultimately lead to decreased brain volume and cortical thickness changes in energy metabolism or altered synaptic functioning.