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).
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 computing capability and power supply. However, the multi-tendency nature of cloud computing also introduces new security challenges such as leak of information. This project is targeted at these security challenges.
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 a specific region are expected to return only the most recent data in any given area, and must ignore any older, overlapping versions.
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 modernize the DLPS solution through the use of new technologies and improved software programming techniques. Our proposed research will develop a framework consisting of reverse engineering tools and methods to assist in the evolution of the DLPS software.
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 intelligence. It works with a number of clients around the world (Orange, IBM, World Wildlife Fund, P&G, University of Oxford, American Airlines, Genius Crowds, etc.).
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 analysis and prediction of the occurrence of rare events.
State-of-the-art computer graphics technology allows for the generation of images and animations that border on photo-realistic quality; however, this level of fidelity is often reserved for feature-film productions where the time budget is much more flexible.
SYnRGY is a computational tool designed to support command and control operations in the context of crisis management. Although SYnRGY has been designed from a user-centered perspective, some degree of training is required to bring novice users up to a level of competence required to use the system. The objective of the current proposal is to capture the expert model of crisis management and design a prototype intelligent tutoring system based on that model. The objective will be achieved in three phases. The purpose of the first phase is to develop a realistic crisis management scenario.
This Mitacs-Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to work in industry and will foster collaboration between universities and industry.
Bringing cloud computing from the Internet domain to Next Generation Networks (NGN) in order to provide Telco cloud services will leverage the use of NGN, reduce costs and create many value-added services. It is therefore becoming critical for world-class carriers, like Bell and Telus, to adopt a cloud-based communications model. However, unlike public Internet clouds, a Telco cloud has specific requirements, such as performance, scalability, security and isolation.