Animal Recognition From Natural Scene Images

With the development of imaging technology, camera trapping becomes one of the best ways to record the presence and activities of large mammals in a given area. The approach to monitoring the animals can assist people in the community with decision making about preserving biodiversity. In the past, experts analyzed such images manually, which required domain knowledge and took significant time.

Investigating Open Scholarship and Inclusive Practices in Higher Education

The objective of this project is to create a set of innovative business intelligence tools to enhance advanced data mining and data visualization capabilities of the Perspective PPM 2000 software system. The Perspective software is an incident management system that facilitates corporate incident data collection, reporting, analysis and management. Incident data is a post-event record of accidents, thefts, hazards, or other unusual events related to an organization’s infrastructure.

Technology Acceleration of Selected Water Treatment Processes

Teck Resources Limited is exploring ways to improve water treatment efficiency as part of its commitment to responsible environmental practices. While various technologies are currently in the piloting stage, there is a need to continue exploring potential treatment options for future implementation.

Technologies for Living Independently: A Technology Case Study on Remote Patient Monitoring

The population age distribution is undergoing an “inversion” and the dependency ratio, i.e., the proportion of older adults who are not working over the number of adults who are working, is increasing. This has an effect on a society’s ability to deliver community-care services and the underlying national economic capacity to pay for their needs. Advances in ICT (information and communications technologies) promise to provide support for affordable systems of care that enable human resources to be used more effectively.

Extracting information from Emails

The project will attempt to extract useful information from emails as well as attempt to classify emails as meeting intent or not. The proposed project deals with attempting to leverage current machine learning and natural language processing techniques to build a prototype that can solve the above problems. This will benefit the company by not having to use manual solutions. Currently the company uses the mechanical turk which requires actual humans extracting information from the emails. The prototype would eliminate the need for this and reduce their costs.

Application of Data Mining Methods for Detecting Irregularities in Securities Market

Current procedure for monitoring securities market in Canada relies heavily on tips from outside and hard coded rules and thresholds. This approach leaves many suspicious cases out of investigation (i.e. false negatives). We introduce a data mining approach to identify irregularities in securities market. These irregularities are known as suspicious cases that might be associated with fraudulent activities and need to be investigated by auditors. Developing such methods requires a deep understanding of strategies that investment componies employ.

Targeted Incentive Offering for At-Risk Customers in an E-Commerce Setting

In this project, we focus on increasing sales in e-commerce shops by offering purchasing incentives to shoppers who are likely to leave without buying. More specifically, our goal is to predict which shoppers are likely to abandon their shopping cart and what can be done while they’re still on the site to customize their shopping experience and encourage them to buy (e.g. offering a discount). Our approach is based on analyzing the shopping experiences of various customers in many different retail stores to learn a statistical model of the customer shopping cycle.

Molecular modeling module of the pharmaceutical platform technology

Pharmaceutical platform technology (PPT) was invented by Sinoveda Inc., the partner organization, to accomplish the tasks of identification, purification, and activity determination for the active ingredients of natural herbal remedies, with the goal of developing and optimizing the remedies. However, two issues remain to be tackled in the PPT process: first, there is as yet no systematic approach to take advantage of the properties of the ingredients of herbs; and second, there is a lack of appropriate methods to consistently understand their effects.

Diagnostic screening for conscious awareness in brain injury and disease: Visual component

Since the mid 1970s, medical personnel have used the Glasgow Coma Scale (GCS) as an important tool to rate and describe levels of consciousness. This scale is rudimentary and subjective, often resulting in misdiagnoses in cases where people lack the capacity to communicate. In some unfortunate situations, severe neurological damage can render people unable to move. Inevitably, these people are deemed vegetative when in actuality; many are simply ‘locked in’. Family members and professionals alike are left wondering…are they in there?

Calcium supplements, elemental bioavailability, and uptake by bone (Part 2)

There is an increasing number and variety of calcium supplements being made available to the Canadian public, often making claims regarding improved action over competitor products. The purpose of this project is to evaluate the effects of drugs and nutraceuticals upon bone health, particularly if they contain elements (such as calcium) which incorporate into newly mineralizing bone.