A Risk-Based Continuous Authentication Engine Using a Probabilistic Model around Behavioral Biometrics

Traditional static authentication systems have a fundamental deficiency; it assumes the presence of the validated user through the length of the session. Continuous authentication algorithms periodically validate the identity of a user during the entire session. It relies on information that can be automatically extracted from the user such as biometrics and behavior patterns. A probabilistic approach can naturally model the noise and latent variables present in the data. The probabilistic output of such models is a confidence value.

Detecting Trends in Conversations using Natural Language Processing and Visualization

At WorkSafeBC, an overwhelming amount of data is being produced, particularly in conversation logs between people who have an active claim with WorkSafeBC and various practitioners with whom they have regular contact (usually over the phone). These records are transcribed into text and the information is far beyond what any analyst could possibly read and understand without the help of analysis and visualization tools.

Understanding Statistics through Physically Manipulating Data

The rise of Big Data, social networking, and mobile interactions coupled with an accelerating increase in the amount of structured and unstructured information enabled by cloud based technologies is forcing organizations to focus on information that is most relevant, value-generating, and risk-related. Problems arise when we make decisions based on good enough metrics (e.g. means) instead of proper statistical methods (e.g. T-tests, ANOVA). The issue is that everyday business workers need to understand statistics in a cloud centered world.

Energy Disaggregation over Large-Scale Appliances

Energy Disaggregation is to find the energy consumption of individual appliances from only a single measure of household electricity consumption. Accurate energy disaggregation helps identify major energy guzzlers in the house and motivates users to take proper actions for energy saving. To pursue aneasy-to-use and scalable solution to energy disaggregation for contemporary large-scale appliances, we have proposed a solution of semi-intrusive appliance load monitoring (SfALM).

Quality engineering method for certified open source software based on product line practice

The goal of the project is to help the industrial partner with evaluating, customizing and adopting advanced software engineering and quality assurance methods based on the notion of software product line (SPL) engineering practices. The software system considered in this project is an electronic medical record (EMR) system that is used in hundreds of clinics in Canada (OSCAR). EMRs are safety-critical as well as security-sensitive. Therefore, it is important to establish systematic and mature quality assurance practices.

"SportsPrevention.com: Sports injury preventionfor all *Renewal, previous title ""Development of an online and customizable corporate challenge and integrated workplace wellness tracking and self-monitoring platform"""

SportsPrevention.com estimates the risk levels of preventable injuries associated with training program, training response, recovery and health status by continuously more than 20 evidence-based overtraining and injury markers and risk factors. Each marker is statistically analyzed on an individual basis and results are presented in a simple and meaningful way, along with actionable ‘how to fix’ advices that can be used by coaches and parents to reduce the risk. This new product will benefit to the company Fitstats Technologies Inc.

Meto 3.0

Meto 3.0 est une solution intelligente qui permet de concevoir et gérer la stratégie de l’entreprise et d’exécuter la séquence des actions requises pour activer la croissance, l’innovation et la valorisation des PMEs. L'application est une plateforme collaborative qui capte l'information aussi bien sur le cloud que via des données privées afin de générer automatiquement les documents stratégiques de l'entreprise. Un processus de ludification est intégré à l'application.

Comment maximiser l'engagement des utilisateurs par l'analyse et les modifications des interfaces et de l'expérience usager ?

Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs. L’interactivité est donc de mise, tentant de mettre l’utilisateur au centre du processus de création. Ce projet aura un aspect lié à l’ergonomie puisqu'il faudra repérer les critères sur lesquels influer pour rendre le contenu de meilleure qualité. Toutefois, un problème demeure.

Ad hoc self-service querying with Semantic Web services: core technologies and biomedical use cases

Many users need to draw information from hundreds of completely autonomous resources, such as online biomedical databases, clinical databases and specialized analytical Web services. IPSNP Computing Inc. is developing a technology based on Semantic Web services that facilitates ad hoc self-service querying of such distributed resources by non-technical users, such as biologists or clinical researchers. Products include a query engine HYDRA and a query composition GUI, intended initially for biomedical applications, such as drug discovery and Clinical Intelligence.

Development of design algorithms for WDM software defined networks

New developments in optical networks management is allowing to control network with a higher degree of abstraction. Software defined networks aim at providing simple mechanisms to manage open interface between devices and equipment within the network and the software controlling them. Furthermore, managing networks using software allows adapting them to evolving traffic patterns and applications, dedicating bandwidth where it is needed.

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