Automated human body pose estimation and activity recognition in videos is still one of the challenging problems in computer vision. Generally, it is becomes a significantly difficult task in real world applications due to camera motion, cluttered background, occlusion, and scale/viewpoint/perspective variations. Moreover, the same action performed by two persons can appear to be very […]

For economical and simplification purpose Operators in the Telecom market are looking to move as much as possible of their infrastructure from traditional deployment to Cloud deployment. However Cloud deployment of IMS still need to be defined and developed. This project aims at bringing further the knowledge for such a deployment and helping guide future […]

Fuel additives are used to increase oxygen content and lubricity of the fuel as well as enhance the efficiency of combustion, and reduce exhaust emissions (particulate matter, CO, NOx and SOx emissions). Vehicular pollution contaminates eco-system and affects human and plant life. The motivation of this research is to compliment petroleum based fuel additives by […]

The objective of the proposed research project is to develop a realistic color appearance model based on the human visual system’s functioning that addresses the issue of noise under low luminance levels. This will be incorporated into algorithms used in the color reproduction and retargeting algorithms of OLED displays. This model should give rise to […]

The research involved in this internship focuses on the performance and integrity of HTML5. In terms of performance, the intern will design and implement a set of tests that will be used to analyze the performance of HTML5 applications. These tests will focus on measuring the computational performance, network performance, as well as rendering performance […]

Information visualization is gaining importance for analyzing large and complex datasets. There is evidence that user’s performance and satisfaction in working with visualizations can be influenced by cognitive or personality traits. Thus, researches have started investigating how information visualization tools could be made more effective and usable by enabling them to adapt in real-time to […]

This project is intended to investigate and address some of the challenges in the implementation of high quality factor and compact passive components and structures and their application in implementation of active circuit blocks in integrated circuit silicon technology at millimeter wave range of frequency. Advanced deep sub-micron silicon technologies such as SiGe and CMOS […]

The goal of this research project is to answer the following two highly-coupled questions concerning essentially all online merchants: (1) which items in my current inventory are highly relevant and should be sold or recommended together? and (2) what new merchandise should be put into my current online store? The key to answering the above […]

Quantum computing has emerged as a new paradigm of computation with potentially far-reaching consequences. However, this change in the form, abilities, and characteristics of computation has not been well studied or theorized in communication studies and related fields. This project draws upon Actor-network Theory (ANT) to challenge the assumptions about computation/computers found in current writing […]

L’objectif général de ce projet est le développement d’un nouveau moteur de positionnement de Delmia basé sur les intentions de l’usager. Ce nouveau moteur positionnera le mannequin de Delmia en tenant compte de la l’équilibre postural, de l’effort exercé par les membres supérieurs sur l’environnement ainsi que la probabilité et la répétabilité de la posture […]

This research project will apply a theoretical analysis of social space in rural areas in Nova Scotia in order to examine how municipalities design space, and how citizens interact with and within it. Much of the existing literature in the field focuses on social space in urban areas, like populated downtown areas of cities. This […]

More than 25% of the fatal and injury car crashes are related to fatigue or drowsiness. This calls for the need for designing automated driver monitoring systems, which can continuously measure the drivers’ vigilance level and alert them if their cognitive state is not safe for driving anymore. One of the most reliable solutions is […]