Exploring the Utility of Physical Visualization Construction

Physical visualizations are representations in which data is mapped to physical form, rather than the pixels or ink of traditional visualizations [6]. Creating such representations using tangible tiles (i.e. constructive physical visualization) is an accessible paradigm for visualization novices to construct representations [5]. Is this approach worth the greater time investment it requires over more […]

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Automated Equities Trading System

The company will further test and develop their algorithm that will assist a money manager in managing their stock market portfolio. The algorithm chooses the stocks to buy or sell based upon its analysis of the market and a number of other market and stock related data points. The performance of this algorithm will need […]

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Evaluating mobile video live broadcasting as an effective mediumfor artistic expression through dynamic image filtering

This research aims to evaluate mobile live broadcasting as an effective medium for artistic expression, through the use of real time video manipulation tools, like image filtering and visual effects. We will build a research platform to better understand the future of online real-time communications within the creative community of audiovisual artists. We ultimately want […]

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Improving Food Recognition and Data Analytics in GlucoGuide

Diabetes is a chronic disease with many complications including heart attack, stroke, amputations and blindness. Self-management of blood glucose and improving lifestyle are very important to prevent complications, but it is a very difficult task. We have been researching and developing GlucoGuide – an app that data-mines inputted diet and exercise data to give individual […]

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Enhancing service quality in community health care through preference-based scheduling

In this project, the intern will develop an integrated patients and care givers scheduling system for the allocation of health care resources in community health care. This system provides patients with an online preference collecting interface for them to express their preferences on time, location, and care givers when estimating their service costs and booking […]

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Analysis of Visual Language for a Novel Gesture-Based Interface that Supports Improved Cross-Functional Development

The following document explores the impact of visual language and new gesture-based tools to create prototypes that can be used in the final stages of production. With the contemporary ample use of different prototyping tools to create iOS applications, the interaction between designers and programmers is evolving based on what these tools allow. Small cross-function […]

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Visualization and Analysis of User-Authored Annotations using Graphs

User-authored annotations of data visualizations can support analysts in the activity of sense making, where it is not only critical to document observations and hypotheses, but also to communicate insights between analysts. As the size and complexity of data grow, so does the diversity of annotations. We propose to develop a visualization system that allows […]

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Location-routing models and methods for improving the operations of an express package delivery company

Purolator is Canada’s leader in express package delivery services, with $1.6 billion revenues (2013), 12,000 employees, 125 shipping centres and 170 processing facilities nationwide. The company has to improve its operations on a continuous basis in order to satisfy its customers, while maintaining its efficiency in the face of ever-growing challenges such as fierce competition, […]

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Information extraction from real-world business documents

This research project aims at creating a robust, efficient and reliable tool for Information Extraction (IE) from vast amounts of textual data related to the financial domain. Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions […]

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Optimizing response prediction by an interactive tutoring system

The aim of the project is to increase the intelligence of an automated, online tutoring system, using state-of-the-art techniques and concepts from cognitive science and computer science. This will be accomplished by integrating more data about each learner, and by implementing a more advanced model able to predict learner behaviour. The improved system will better […]

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Developing Strategic Planning Tools to Support Forest Industry Transformation

Much of the management theory taught in today’s classrooms is focused on consumer-based, growth businesses rather than natural resource-based, cyclical industries. This study will examine how natural resource industries, such as forestry, recognize and adapt to structural (permanent) challenges in their market environment. The research will have three main components: first, using publically available information […]

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