Modern systems are increasingly being made “digital” and interconnected to the rest of world through computers. Many types of sensors, such as image sensors or digital radios, can produce vast amounts of data in a short amount of time. Rather than sending all of this raw data back to a central server, it is usually […]

New meters, sensors and other field data collection devices are providing a plethora of real time system operational data for building, industrial plants and production systems. At the same time, building owners, industrial plant owners and campus based operations are being challenged with managing their energy use both through conservation and demand management processes. In […]

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 […]

Computer-supported Electronic Medical Record (EMR) systems are increasingly replacing conventional paper-based information management in primary health care clinics. Recently, there has been a trend to make these EMR systems available in a Cloud-based, interoperable and network-centric architecture. The internship will research ways to increase the interoperability of an existing EMR product, with respect to emerging […]

Different from traditional online advertising, dynamic media campaigns show different impressions (visitors to a web page) with different advertisement based on the characteristics of the impression. Infer Engine is a system that optimizes bidding for media campaigns by maximizing total profit for every impression. The theoretical foundation of the Engine is a by statistics based […]

Computer attacks such as viruses, Trojans, etc. are a continuous problem for governments, companies, and individuals. The most common methods of detecting these computer problems like anti-virus systems rely on an attack being known and described before it can be detected. This opens a hole in computer security systems for new attacks that have not […]

Collaborative filtering is a product recommendation technique for making automated product suggestions to a user based on the preference information from similar users. Traditional recommendation algorithms drive personalized recommendations using the data from user purchases and ratings. For e-book retailers, besides user purchases and ratings, product features such as book content and metadata also provide […]

Predictive modeling is a statistical data mining approach that builds a prediction function from the observed data. The function is then used to estimate a value of a dependent variable for new data. Then objective of the project is to develop predictive models by machine learning approach and data mining techniques from the large volum […]

Aircraft/Avionics System certification is awarded by aviation regulatory bodies to applicants after they have demonstrated that the design of the system meets airworthiness requirements. Airworthiness requirements are a complex set of requirements, standards, and regulations. Demonstration of compliance to airworthiness requirements can be accomplished through testing, reviews, similarity of installation and/or usage and other means. […]

The goal of this project is to build an information system to help SCA(Saskatchewan Cattlemen’s Association) improve the information flow between itself and cattle producers, make information more accessible for cattle producers and automate some of the procedure SCA currently has to do manually. Examples include sale reporting via web services and cow tracking via […]

GPS, MEMS sensors and Wi-Fi are three main candidate technologies for pedestrian navigation. GPS cannot provide reliable pedestrian navigation indoors because the GPS signals are degraded in indoor environments. MEMS sensors provide accurate but relative positioning solution for short time periods of standalone usages because of MEMS sensors’ errors characteristics. Wi-Fi can provide absolute location […]

The current version of the Integrated Biomass Supply Analysis (IBSAL) model is deterministic. As such, the uncertainty surrounding the results obtained cannot be studied or quantified. The focus of this research project is to incorporate uncertainty into the model in order to make it more realistic, provide additional insights into its properties and potentially suggest […]