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 mobile devices. In order to do so, the database of SCA needs to be redesigned and three mobile applications need to be developed.
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 information by using pre-existing wireless infrastructures. However, Wi-Fi positioning requires special radio maps databases which is labour intensive and time consuming.
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 new types of solutions with corresponding margins of error and variability.
Automated speech enabled human-computer interfaces have become essential for the competiveness of many Canadian industries. The demand for more natural, simplified, and low cost user interfaces has made voice enabling of telecommunications, automotive, and consumer electronics devices nearly ubiquitous. Commercially available automated intelligent assistants have been developed to guide customers through problem solving scenarios.
A hybrid computational framework for short-term flood prediction in urban watersheds (characterized by overland runoff) will be developed to improve prediction accuracy. The framework aims to accurately predict an event, e.g. flood or no-flood, as opposed to traditional methods which estimate water flow characteristics, e.g. 6 feet above flood stage. Successful early prediction of these events can help authorities to take appropriate mitigation measures and to minimize losses from the flooding.
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 more efficient to deploy an embedded system close to the sensor that can inspect, analyze, compress, and otherwise reduce the data into a more compact, meaningful form.
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 many jurisdictions the cost of energy is skyrocketing due to massive increases in demand.
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.
An existing Forex currency trading system has demonstrated a proof of concept on a static data set. The current project proposes to implement the trading system for real-time applications taking advantage of available geospatial information which can influence currency markets. The novel methodology will be based on building a high-dimensional weighted autocorrelation model between real-time news and their spatio-temporal geographic locations. This would require development of sophisticated methods in the areas of data mining, geocoding and spatio-temporal pattern matching.