Cognitive Mapping or CM - sometimes called Fuzzy Cognitive Mapping- is a process by which an individual, group of individual, or groups of individuals can identify a central topic and over prolonged discussion, identify the various factors which relate to that topic. CM has been recently applied to explore issues in First Nations communities by researchers at the University of Ottawa to, for example, explore factors associated with diabetes (diet, lifestyle, education, etc) and to weigh these various factors associated with the central theme as strongly or weakly, positively or negatively.
This internship project with Deep Compression Inc. aims to produce a prototype demonstrating a new technique for asymmetric lossless data compression. Unlike conventional compression techniques, this prototype will allow representational information to be recovered using an algorithmic recovery procedure, algorithmic self-organizing structure (ASOS).
Information regarding the likelihood and severity of automobile accidents for individual insurance consumers enables insurance companies to price insurance policies. The more accurate and predictive the data, the more accurate and fair insurance prices are. Modern advances, such as telematics technology, allow insurers to improve the quality of their information. This improved information has an efficiency-enhancing effect on the personal automobile insurance market which makes both insurers and consumers better off.
Feedlot Health Management Services is a comprehensive beef industry consultancy, providing veterinary services, herd health programs and computerized health-recording systems and other informational tools to producers. Fat yield, lean yield, meat tenderness, carcass marbling and carcass grading are some characteristics of cattle that are measures of beef quality. Thus, the goal of this project is to determine how these characteristics and the genetic makeup of the cattle are correlated with one another.
The intern will study possible enhancements to insolvency prediction models of the partner company. Her study will extend the previous models by combining macroeconomic market information and firm-specific information to identify firms facing possible financial trouble. The results of the study will provide helpful information for the company’s surveillance efforts to prevent insolvency or reduce the costs of insolvency for PACICC.
Complex Systems focuses on developing the next generation of sensor networks. Detection and location of microwave emitter/reflector using sensor networks have attracted much attention in the sensor and communication communities. Thus, the intern’s research project addresses some important issues in system design for target detection and localization. Detection and localization schemes will be developed and exploited in the designed sensor network. Testing will also be carried out to validate the proposed sensor network for wireless detection and localization.
Direct Energy is a leading retailer of energy and energy solutions for both residential and business customers in North America. In partnership with the company, the intern will work on energy data mining and analyses using gas and power data. The intern’s analyses will include analysis of natural gas storage and its impact (if any) on price momentum, the relationship between power and gas (heat-rate analysis) and some fundamental analysis such as relationships between HDD, storage gas, basis and fixed prices.
Geo-X Processing, Divestco Inc., a Canadian seismic processing contractor, is seeking to enter a new segment of the market, the so-called “depth imaging” market, by Q3 2007. The company is currently developing a comprehensive suite of depth imaging algorithms aimed at competing in the above market, but currently lacks a certain sophisticated tool. Such a tool has been recently developed at the University of Calgary, called the “FOCI algorithm”.
Like many companies in the energy business, Encana Power Corp. is interested in pricing options and future contracts related to the price of power and gas. The heat rate plays a role in related decisions and it is of importance to determine better estimates of swing and related options. The internship research will develop and calibrate models for the underlying assets using the large amounts of data available to Encana.
This project will use computer modelling to aid in building a geological model of the earth’s subsurface. The model is assumed to be accurate when seismic data from the model reasonably matches seismic data recorded on the surface of the earth. The movement of wave energy within the model will then be used to aid in identifying hydrocarbon signatures in the real seismic data.