This project focus on designing a fatigue cycling machine to test soil openers for low cycle, impact fatigue. This process begins by identifying and characterizing the load in case, and then continue into detailed design, fabrication and commissioning. Characteristics such as robustness, reliability and safety will be strongly emphasised. This testing machine will then form a basis for further research on opener design.
It is very important to test the soil openers before releasing them, to assure that the customers that acquire them will not have problem during their seeding period.

CONTENT Delivery Networks (CDNs) are large distributed infrastructures of replica servers placed in strategic locations. They deliver content to end-users with reduced latency by replicating content on surrogate servers. However they face a major challenge when content is delivered to end-users accessing a same content in home settings: inefficient bandwidth usage in the access network. There are as many streams from the replica server as end-users accessing the same content.

The proposed research project is aimed at detailed characterization of organic matter found in certain types of phosphate ores. The presence of organic compounds often complicates the beneficiation of such ores to produce a fertilizer-grade phosphate concentrate. Further advances in the treatment of such problematic phosphate ores require a thorough understanding of the nature and distribution of organic compounds within phosphate ores.

This project will develop a design tool that can be used by consultant engineers who design these ponds and by the regulatory agencies, including our partner organization (the Toronto and Region Conservation Authority) to assess if a stormwater management pond will meet the thermal objectives for the protection of sensitive aquatic life, including the permanent pool volume, drawdown time, length-to-width ratio, number of berms, optimal depth, and the bottom-draw outlet position for a given pond.

We propose to mitigate corrosion in potash mining and processing plants by introducing corrosion inhibitor to potash brine solutions. We will screen and formulate a cost-effective corrosion inhibitor that is compatible to potash mining and processing operation, but does not degrade quality of potash products and still provides high corrosion inhibition performance.

This research is focused on building a web-based system for processing big earth data available in a form of Raw multispectral imagery captured by a UAV or a satellites system. The data gathered will be processed to obtain the end results in a vegetation indices (Vis), or NDVI form, which could be used for crop monitoring. The efforts are required in developing a web server, which will allow inexperienced users to classify raster imagery without any supervision.

It has been demonstrated in the previous research that monitoring only one point as the sole region of insulation degradation is not sufficient for operational safety of high-voltage bushings. Therefore, monitoring a wider volume of the high stress region inside the bushing using ECT sensing becomes a necessity for earlier detection of defects. In this project, we will investigate this problem and develop algorithms and prototypes of using microcontroller, sensors and wireless networking technologies for determining the condition of polymer high voltage bushings.

Lamps and lighting products are the most commonly used electrical product around the globe. With the improvement in lamp technologies, from incandescent bulb to compact fluorescent lamp to LED bulbs, the products have grown complex and hence they require an improved recycling process. In general, lamps consist of various valuable metals such as iron, copper, aluminium, chromium, silver, gold and some hazardous metals such as lead, mercury and arsenic. It also contains plastic and glass.

The proposed research is aimed at both understanding and improving the flotation equipment design through the development and application of comprehensive multiphysics platform, which has the potential to create more accurate, fundamental basis for modeling, optimization, and scale-up of industrial flotation processes, based on physics rather than empirics and intuition.