CENGN (http://www.cengn.ca/ ), the Center of Excellence in Next Generation Networking, is a newly formed tri-council funded center of excellence for commercialization and research (CECR) that will bridge the gap between research and commercialization, which is critical to building successful startup companies. CENGN is a consortium of industry, academic and research leaders who are putting their expertise and equipment on the table to lower the barrier to entry for SMEs and researchers.
The proposed research will develop a virtualized cloud-based multi-tenant environment tor testing and developing software defined networking products on a national scale. Similar centers are being built in other jurisdictions (Japan, Europe) but this is the first such initiative in Canada. We are partnering with CENGN, which is a consortium of industry partners who wish to create a shared ecosystem where new product development can be supported and shared within the consortium.
The primary goal of the intern project is to research and propose implementations that enable streamlining the APP (application layer) interface to flow through the SDN layered model. The target solution would enable a SDN-standardized approach of handling the APP communication with the data plane.
Canada owns the largest heavy oil and bitumen reserves in the world. Unfortunately, extracting these hydrocarbons is difficult due to their high viscosity. Currently, the most popular strategy is to heat the bitumen using steam, but steam injection can be inefficient and is not suitable for all reservoirs. Radio frequency heating offers a flexible and efficient solution, but its implementation has been marred by the dynamic underground environment of the reservoir. Here, the changing electrical properties of the reservoir can lead to uneven heating or equipment damage.
This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, to the examples specific characteristics. These examples are used to explore the suitability of quantum annealing hardware to related problems in scheduling and trading.
MakerBloks is a creative solution to introduce children to the world of electronics. Our first products, MakerBloks, are small, reactive, color-coded building block that allows the user to learn and build electronic circuits without any technical background. In order to bring electronics learning to a new level of interactivity, MakerBloks want to develop a block recognition software that will allow the physical building blocks to interact with a tablet application.
As future IoT infrastructure generates massive data in excess of exabytes, a unified architecture to handle Big Data is highly essential. Development of unified Big Data processing architecture for IoT infrastructure will provide a scalable and standard solution that addresses the problem of continuous increase in the volume of Big Data. Cloud networks provide necessary platforms as services that are needed for Big Data processing. Services offered through cloud networks are cost effective and energy efficient, which are essential objectives of
future green communications.
Existing techniques rely on conventional techniques, which are insufficient and do not ensure increased and optimal utilization of freely available PV energy. We propose predictive energy management and preventive maintenance through monitoring system for PV systems, taking futuristic PV potential and weather forecasts into account in association with the operational parameters of the PV system. This system will optimize operations of off, on, and mix grid operations with higher proportions of PV energy.
Path programming for various robot applications in the industry involves precise specification of data for coordinated control of the different moving parts, arms, limbs, joints, etc. in order to optimally perform application specific tasks. Robotmaster software from Jabez Technologies is used to plan and simulate robotic operations and generate robot code for industrial applications. Robotmaster recently won the Robotics Game Changer Award for enhancing the way in which robots are programmed, facilitating their adoption in new and technologically emerging applications.
This project is a collaboration between MMSENSE Technologies and the Centre for Intelligent Antenna and Radio Systems (CIARS) at the University of Waterloo to research, investigate, and design an integrated radar module at millimeter-waves.