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 development for Ericsson. This project focuses on providing future directions for the development of an IP Multimedia System (IMS) in a Cloud environment.
The main objective of the project is to provide the Institut de l’OEil des Laurentides (IOL) with the capability of receiving patients from remote locations without requiring the patients to physically come to the IOL. A remote diagnostic tool would allow the IOL to improve the comfort of patients as well as expand its activities to new locations farther away or outside of Québec.
Electric golf carts and other low speed electric vehicles use lead acid batteries. There are now more than two million low speed electric vehicles operating in North America. Based on lithium ion replacement and demonstration programs carried out by Electra and our partners, there appears to be a strong interest from these industries and other low speed vehicle manufacturers to convert to lithium ion battery packs. A majority of the fleets using low speed electric vehicles in North America have purchased and set up charging infrastructures for their vehicles.
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 reduced power consumption in OLED displays, while maintaining a high perceived quality of images. The project will also explore the effect of changing the white point to manage the circadian rhythm on OLED screens.
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 offer fast and high frequency transistors however the substrate is lossy and a challenging environment for implementation of high frequency passive components.
Dans un cadre éducatif, les procédés industriels sont rarement accessibles pour effectuer tests. Le recours à des outils de simulation de modèles dynamiques de ces procédés est souvent une solution pour permettre l’étude de ces procédés. Le réalisme de ces simulations est étroitement lié à la précision des modèles utilisés.
The integration of control system workstations with wireless networks in critical infrastructure systems raises a major challenge as it now requires the ability to detect cyber security threats which could ultimately cripple the organization’s network.
This project will design an Apiary Management System to control and study environmental conditions that affect beehive health and honey production. Several efforts will be undertaken in developing this intelligent hive concept. In-hive environmental sensors will be implemented and thermal backplane will be developed to regulate the temperature within the hive. Sensors will be installed for studying bee movement, activity, and population. In the environment surrounding the apiary, food type and availability will be studied.
Creating computer generated animations and visual effects (VFX) of fluids is a challenging task. The goal of this project is to design novel approaches that ease the creation of fluid simulations for VFX. Four main challenges will be tackled: the simulation of viscous fluids, the gain in geometric details of free surface fluids, the texturing of free surface fluids, and the optimization of distributed computation for fluid simulation.
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 different. In addition, clothing, illumination and background changes can increase this dissimilarity.