The July 2009 issue of Maclean's magazine published an article pertaining to 'Canada's Best and Worst Managed Cities.' The City of Saskatoon received an overall C- ranking in terms of economic development, and failed to meet relative national average standards.Since the 2007 year however, the provincial economy has undergone substantial gains in economic growth and productivity, as commodity prices have surged in response to increased demand for local resources.
This internship project will research how trends of environmental sustainability within the commercial construction industry may affect design decisions for building envelopes. To remain competitive in the global marketplace, commercial construction players are increasingly challenged to adapt their businesses within an industry evolving with new standards and regulation. The Saskatchewan Masonry Institute (SMI) has identified the need to determine the role of masonry products within these evolving trends.
This project aims to expand on an existing computer model of a liquid helium cryogenic system located at the Canadian Light Source (CLS) in Saskatoon, Saskatchewan. There are two facets to this work. The first facet is to modify and use the model to answer certain questions CLS staff members have regarding proposed cryogenic system changes and upgrades. The answers to these questions are important in helping CLS staff make decisions regarding these proposed upgrades. The second facet is to improve the coding on the current model by using established computational packages.
Workers in pig production barns can be exposed to hazards such as hydrogen sulphide (H2S) gas which is emitted from stored pig manure. In the oil industry where H2S is also a serious concern, a treatment approach was successfully developed for controlling H2S emissions. This project will evaluate the applicability of the treatment in swine barns. Room]scale tests will be conducted at Prairie Swine Centre Inc (PSCI) which will involve comparison of H2S levels in two rooms, one operated as a control and the other with the treatment applied.
Contaminants can become “trapped” in soil over time because of various chemical and biological processes. Trapped contaminants do not cause toxic effects in plants and soil animals even if it is detectible by chemical methods. Therefore, soil contaminant concentration can exceed established safety standards but represent minimal risk to soil organisms if the contaminant is trapped. Growing earthworms in contaminated soil is a common method to evaluate the toxic effects of contaminants in soil; however, this process is time consuming.
Unmanned Aerial Vehicles (UAVs) have been receiving rapidly growing interest in research and industry applications, including military reconnaissance, remote sensing, aerial photography, educational use, mining inspections, traffic monitoring, and environment monitoring. Practical applications of UAVs will demand highly accurate position control.
Prepared samples of different metals with simple geometries will be worn in a lab‐based soil tillage operation. The conditions of the tillage operation will be maintained within defined limits (soil moisture content, compaction, and soil texture). At regular intervals of travel, the amount of material removed from the samples during the tillage operation will be quantified. The MITACS ACCELERATE intern will use dedicated software to simulate the wear process during the tillage operation and compare the simulation results with the experimental data.
This internship will focus on the potential of laptops and personal digital assistants (PDAs) to enhance the quality of work life for nurses through uptake of the technology to enhance access to information, and evidence-informed practice. The project is a partnership between College of Nursing, University of Saskatchewan and the All Nations’ Healing Hospital in Fort Qu’Appelle.
It is very useful to build an automatic computer system to recognize the types of vehicles passing a checkpoint given some easy-to-get data about the vehicles, such as the distances between axles, the weights on each axle. Such a system has many applications, for example, in monitoring traffic volumes and identifies the type of vehicle, which will be helpful in budgeting road maintenance costs. The main goal of this project is to develop a better methodology for cluster analysis with application to the vehicle detection problem. The simplest clustering technique is the K-means clustering.