Passive optical networks (PON) are a key technology to provide broadband Internet services to personal and business users through high-speed fibre cables. This technology has been deployed worldwide for local and access networks. In order to accommodate the drastically increased data volume, the Telecommunication Standardization Sector (ITU-T) has recently defined a 40-Gb/s capacity PON system. In this project, we are developing integrated optical solutions for next-generation PON systems to enable a higher data transmission capacity through multiple frequency channels.
Modern roundabouts have become a subject of great interest and attention over the last few years. Compared to regular signalized intersections, roundabouts have the potential to reduce vehicular delay, emissions and increase safety. The objectives of this study is to conduct a life cycle cost analysis (LCCA) to examine the short and long term benefits from a multi modal perspective. This research aims to articulate a more thorough understanding of safety and operational performance of multimodal roundabout based on LCAA.
Bigmotion Inc. was created to develop wearable health monitoring sensors and service the at-home care segment of the elder care market. This project involves studying of existing literature and development of novel solutions for
power management and energy harvesting for the product including tracking and fall detection systems using hybridpower.
This research project brings together current academia and a vibrant, growing commercial enterprise to solve real world problems. The industry partner has recently developed a high-tech, sensor-based diagnostic tool which will be evaluated by the graduate student intern. The capabilities and features of the tool will be extended through the innovative, collaborative design efforts of the intern and the industrial partner. Additionally, savings of time and material are anticipated from the improvements in enclosure design and manufacturing.
As manufacturing and resource-based industries face growing challenges, Canadas future increasingly depends on advances in and sustainability of knowledge organizations. Knowledge-based workers comprise a growing proportion of the workforce today. More often than not, they work in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for their discipline-specific activities, the coordination of their activities, and their communication with each other.
This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require more resources to maintain optimal performance. The goal of these network tests is to identify the point at which the network software can no longer keep up to the flow of traffic.
The energy-hungry telecomm industry is in need of power supplies with ever-increasing efficiencies to conserve energy and reduce carbon footprint. In collaboration with the industry partner, the proposed research project aims at developing a power factor correction (PFC) system, an essential component in a telecomm power supply, for achieving efficiency of 99% or above. The project will make use of emerging power semiconductors with superior characteristics to build a PFC circuit using one of the most promising circuit structures.
Teams of specialized workers develop most software. For example, one team may specialize in the requirements that describe what the software is to do. Another team may specialize in producing the software itself. Yet another team may specialize in determining whether the software meets the desired requirements.
In modern large data centers hundreds of thousands of VMs run simultaneously on thousands of physical computing nodes and networking nodes with different security policies. A centralized security architecture based on managing all their security policies in a few large security appliances would cause major security policy complexities and choke points in the cloud infrastructure. We will investigate to propose a network security pattern based approach for cloud infrastructure and its optimal placement in the cloud.
The Resident Assessment Instrument Minimum Data Set (RAI-MDS) is used by health authorities for collecting information about individuals in continuing care facilities. Collected quarterly, RAI-MDS records contain more than 500 data elements, including cognition, psychosocial well-being, health conditions, communication, physical function, and activity patterns. Because of this it has great potential for providing an incomparable quantitative view on the lives of the oldest and most vulnerable Canadians.