Many industrial processes require materials that combine high strength at elevated temperatures with good corrosion and wear resistance. Superalloys are the only materials which can serve in such conditions, because of their outstanding high-temperature properties and excellent corrosion and wear resistance. However, due to limitation of testing facilities and difficulty of experimental operations, the data of these properties at elevated temperatures for these alloys are very limited, which has limited the application of these high temperature materials.
Badlani, whose main academic interest lies in the field of robotics, had applied to four different projects to participate in the Mitacs Globalink program, and his second choice was the project he ended up working on.
Geometric Networks typically are a sparse subgraphs of a complete graph defined over a set of points embedded in the plane (or space). There are several algorithms which take a complete graph and compute a sparse subgraph satisfying various constraints, e.g. low diameter, constant degree and fault-tolerant. In our recent work, we have designed algorithms which compute sparse subgraphs of non-complete graphs.
Weyes Eyes, Inc. is developing a product that uses intelligent video analytics software to alert end users to pre-configured events as they occur in video streams from cameras set up in the home or office. The user will be able to specify which types of events to capture (doors opening, people walking by, etc.) and the software will detect these events using sparse feature-tracking and objectrecognition methods. Many state-of-the-art feature detectors and descriptors may be suitable for this task, and Weyes Eyes wishes to know which ones work best for their specific application.