The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence.
Online business processes are different from traditional web applications and typical healthcare applications. Online business processes involve the collaboration of multiple user roles interacting with multiple services in parallel.
Programming of long-term digital memory storage devices is currently not an optimised process. This is due to the fact that the exact physical mechanisms that allow for a data bit to be reliably stored and read are not well understood. As a result, in order to produce high quality, long-lasting, reliable memory cells, the manufacturer must perform extensive testing and
iterative modifications on each generation of products. Our project aims to develop a software model that simulates the physics and chemistry of memory device structures on an atomic level.
Color-based sensing enables sensors to be utilized in more places and by more people, particularly those who do not have access to or required training for sophisticated and expensive sensing technologies. This cost-effective sensing process is based on the change in an indicators color in response to the stimulation that is being sensed. This project seeks a novel
application for a color-based sensing method (Optical Liquid Fingerprinting technology), previously developed by the projects partner organization.
All over the world, sensors, smart objects, and other devices are connecting through the reach and power of the Internet. And they are dynamically generating, analyzing, and communicating intelligence to increase operational efficiency, power new business models, and improve quality of life. Connecting the unconnected is the Internet of Things (IoT). The project would focus on researching IoT technologies in a selected segment of the IoT spectrum of possible devices and applications.
Sensing technologies require the deployment and maintenance of complex and large infrastructures. This research proposal is focused on peoples activity recognition technologies though existing WiFi infrastructures. The information gathered by this technology can be applied to different industries like home automation, security, etc. In the future, this technology will powered applications in the home automation industry as the one described next. Mary comes home and leaves her cellphone on the couch. As the system recognizes her, no alarm is activated.
Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under optimum design conditions, the sensitivity can be improved by up to a thousand - higher than any of the biosensors currently available on the market.
A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the power systems components. Conventional EMT simulators typically execute sequentially on a single processor; and computational effort increases significantly with network size. Graphics Processing Units (GPUs) have massively parallel architecture and can accelerate EMT simulation. The investigators recent Ph.D.
The scope of this project is to develop a modern Railway signaling system using LED technology to replace the old system employing incandescent bulb. We propose a novel design and control to avoid using low-lifetime components as the existing commercial systems. The current and voltage monitoring functionalities are added to detect exactly which LED that fault occurs, it helps to maintain system and easily adjust light intensity efficiently.
With worldwide efforts to increase the utilization of renewable energy, traditional power distribution networks are being transformed into active distribution networks with the interconnection of distributed generation. The status of DGs connected to an active distribution network can change frequently, and this creates many challenges to network protection. The aim of this project is to implement a new protection solution for active distribution systems and microgrids in hardware and validate its performance.