Estimating poses of three dimensional (3D) objects is of great importance to many high level tasks such as robotic manipulation, scene interpretation and augmented reality. Detecting poorly textured objects and estimating their 3D pose is still a challenging problem. The objective and expected result of this research is to develop a systematic and applicable approach that could detect poorly textured 3D object pose. The proposed method is using state-of-the art deep learning in computer vision.
Powder Metallurgy (PM) is a production method suitable for accurately fabricating complex shapes to a desired size and shape, thus minimizing the need for machining. This makes it cost effective in comparison to other manufacturing technologies.
In order to facilitate the production of PM parts, a lubricant is added to the iron based powder during mixing. The lubricant affects the internal friction between the particles during compaction as well as reduces the total energy needed to eject the part from the die after compaction.
Degradation assessment for critical assets in power generation has great significance for power industry. Existing degradation assessment models failed either in combining the multimodal condition monitoring data or in removing time-varying working condition influences, resulting in inaccurate and/or unreliable degradation assessment results. In order to achieve robust and accurate degradation assessment for power generation critical assets, this project aims at developing new models based on both maintenance data and condition monitoring data from ENMAX.
In the coming months, a new set of energy efficiency targets called step codes will be incorporated into the standards used to build houses. The step code is intended to provide builders with a better understanding of what is expected of them when they build energy efficient homes. It will also allow municipalities incorporate energy efficiency standards into new housing developments. The anticipated problem is that the builders may struggle to meet these energy efficiency standards because it is different from the homes they are used to building.
Autonomous mobile robots which are designed to operate in unknown environments, such as Mars or the Moon surface must be robust to unpredictable challenges and capable of making correct decisions to survive. One of the important tasks of rovers is to locate themselves in an environment where no navigation aids such as GPS is available. This is necessary for planning their journey to explore as many scientifically interesting sites as possible.
DK SPEC is a major producer of blades, cutters, and saws, made of tool steel, for the Canadian wood industry. In order to keep up with the stiff competition, the company has acquired some state-of-the-art heat treatment furnaces for cryogenic treatment. They have a complete cycle for machining, hardening, cryogenic and tempering cycles. They will shortly acquire a rolling machine in order to do deformation either cold or warm on the as-annealed materials before machining and final advanced heat treatment cycle.
Space structures must be designed to resist the harsh space environment, which include but it is not limited to atomic oxygen, ionizing radiation, charged particle plasma, man-made debris and micrometeoroids. Thus, the spacecraft must be designed to have high stiffness, low thermal expansion and high dimensional stability. Composite materials can be designed to fulfill those requirements to be used in space applications. Common structures that use composite materials allow for the transfer of information for space research and communication services, such as radio, television and telephone.
Wild blueberries are an important crop to this region as this is the only area that wild blueberries are naturally occurring. The changes in wild blueberry crop conditions caused by improved management practices over the past decade has caused increased plant density and leaf foliage. This extra foliage has made it more difficult for the harvester operator to clean debris (leaf, soil, sticks, etc.) from the blueberries before they are placed in the loading bins.
Current Computational Pipeline Modeling based leak detection systems can not accurately predict the leaks in the pipeline when crude oil goes though phase change (column separation) along the 100s of kms long pipeline (due to hills and valleys). The objective of this project is to gain fundamental insight into the two phase gas-liquid flow physics in hydrocarbon liquid transportation pipelines that transport crude oil with various physical properties of crude and with various elevations.
Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.