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.
Cyber-physical systems or Industrial Internet of Things (IIoT) applications are more advanced than commercial IoT devices/applications mainly because of the prevalence of connected sensors and embedded systems in the industrial world. The objective of this project is to develop and package a low range, low power (LoRa Technology) remote asset monitoring and control system for remote fixed utility IIoT applications.
The vision of this proposed project is to design and build a collaborative service robot that will help people with developmental disabilities (DD) reach their personal goals and achieve greater independence, using existing and new technologies. This will allow the industry partner, JDQ, to advance the type of services provided to people with DD and their caregivers in a group home environment, through its partnership with Developmental Disabilities Association (DDA).
The aim of this project is to predict building energy consumption for next days. Firstly, we will collect several data such as weather data, time data, and historical energy consumption of the building. We will analyze the collected data to recognize the usage patterns of the building, for instance, the low and the high electricity consumption of building. After data analysis, we will apply several machine learning models to predict energy consumption of building, and finally all models will be compared to choose the outperform method.
In plasma spray, coating materials melted by the plasma heat source are sprayed onto a substrate to make a coating layer which can be highly resistance to thermal and mechanical shocks. It is of importance to accurately measure the velocity and temperature of the sprayed coating particles. These characteristics have a great impact on the thermal and mechanical properties of the coating products.