An important concept in industry and science is the occurrence of rare events: events that occur with low probabilities but have significant impacts. Examples of rare events include the chance of an automobile insurance holder filing a claim or credit card accounts are compromised. The proposed project investigates applications of machine learning algorithms in the […]

Cloud computing, with its low cost and scalability, is becoming more and more popular today. By outsourcing computation requirements to cloud, consumers as well as business entities can reduce their IT costs significantly while enjoying more and better services. Mobile devices are among the earliest to adopt this new computing paradigm due to their limited […]

In large scale earth observation systems, data is gathered in short duration surveys returning massive numbers of point data observations (often millions) covering significantly sized regions. To maintain up-to-date products (e.g. navigation charts in harbours with continuous silt build-up), successive surveys are performed that often cover overlapping areas. Searches to find all the data in […]

The IBM DLPS software is used to provide an intelligent interface system that enables a ship’s Command System to interface to Tactical Data Links for the exchange of information with other friendly units. The DLPS software integrates the ship's Command System data with the tactical networks of data links. IBM would like to expand and […]

Chaordix is a company that develops crowdsourcing solutions for a variety of clients in industry, universities and governments. In early 2009, it launched a commercial managed services platform for crowdsourcing, called Chaordix, which has firmly established the company as a crowdsourcing pioneer. At this point in time Chaordix provides a global standard in crowdsourced market […]

The research aims to help the partner company, Analytic Design Group, assess the market potential for developing an Idea Management application, use experience-based analysis to investigate the functionality of an innovative idea management application, and to evaluate the expected returns for undertaking this project. This is carried out by researching the software market for similar […]

BCNET’s mandate is to provide shared technology services such as cloud computing, VoIP, disaster recovery solutions, and telepresence to its members using an advanced network connected to the backbone of the Internet. Today, the core members of BCNET are UBC, UVic, SFU, BCIT, TRU, and UNBC. Any attack may interfere in the operation and the […]

The proposed project will help develop an online forum that can be used as a public consultation tool for governments as they make important public policy decisions. This forum will be developed and tested in the City of Markham as a case study. The model will then be refined so that it can be applied […]

Text documents often include information pertaining to geographic locations. Mapping these place names to specific geographic locations (e.g., GIS) requires a considerable amount of human effort. This becomes challenging especially when the same place name is represented by multiple places, such as in the naming of waterbodies (e.g. lakes and rivers). In this project we […]

Data centers are being deployed worldwide. They provide the fundamental computing and communication resources for both business customers and regular consumers. Different from traditional data centers, today's data centers must have the capability to provide services to millions of users on a dynamic basis. New data centers are designed to deploy large number of commodity […]

Accelerator Mass Spectrometry is a highly sensitive technique for measuring the concentration of certain long-lived isotopes, such as carbon-14. Recently, the use of an ion-gas reaction cell before the accelerator has been shown to enhance this sensitivity, particularly for smaller accelerators, and to extend the application of this technique to more isotopes. Isobarex Corporation has […]

While a significant number of tools have been developed to extract from web repositories information relevant to some search criteria, the unstructured nature of the returned information limits the ability to extract automatically concise and meaningful profiles. The purpose of this project is to develop anintelligent framework using case-based reasoning and semantic similarity to encode […]