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.
The Office of the City Assessor is required by the Cities Act to determine the fair value of land and improvements of single family dwellings by applying the residential sales comparison method. Thus, the intern will perform analysis to determine how major factors contribute to the values of properties using newly available data. Such analysis involves developing statistical models for major market areas in Saskatoon, preparing data for statistical analysis, estimation of models and evaluation the models’ performance based on statistical and economic plausibility.
Droughts are among Canada’s costliest natural disasters, having major impacts on a wide range of sectors including agriculture, forestry, industry, municipalities, recreation and aquatic ecosystems. The 1999 – 2005 Canadian Prairie drought was the worst drought in at least 100 years in parts of the region and caused considerable environmental and economic hardship. Although much is known about droughts, there is still no complete understanding of why they occur.
This project will examine the physician needs in Saskatchewan and will forecast the number of family physicians needed for each health region. Using health regions as a unit of analysis, supply of physician workforce will be estimated in a reduced form. Both demand and supply side factors such as income, demographic characteristics, physician migration and factors capturing substitution among various healthcare inputs will be included as regressors.