This proposed research will create a corporate website as well as content management system, which will be developed at and for Side Effects Software. The main objectives of this applied research are (1) redesign the corporate website and services attached; (2) ensure the security, reliability, and scalability of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the performance of the resulting data.
How to define user requirements accurately and design user interface appropriately have been a very active research area concerned with human-computer interaction and graphic design. Because of the scale and the complexity of three-dimensional (3D) animation software, making correct design decisions becomes tougher. Houdini is a 3D animation software as well as the main product of Side Effects. Using 3D animation software is always very challenge for users. It requires longer learning curves as well as interdisciplinary knowledge.
This proposed research will create a modern internal licensing database management system, which will be developed at Side Effects. The main objectives of this applied research are (1) manage customer and license information; (2) ensure the security of the system; (3) test the application efficiently and automatically; (4) generate a useful report based on the licensing data. With the participation of the intern in the design and implementation of the data core of the system, the company will benefit by being able to manage complex software licensing agreement with greater efficiency.
In this project we attempt to research and develop from ground up a scalable distributed computing based recommendation engine using machine learning. A computer science student from the University of Toronto will work with Side Effects Software at their Toronto office to implement the research intensive recommendation engine algorithm and integrate it in the smart asset online store. We expect and hope that this will result in high quality recommendation, is scalable and has a strong foundation in statistical machine learning based algorithm approach.
Computer hardware and software have revolutionized the film production process and brought about a world of visually rich, immersive videogames. These days, computers are used both in the process of developing preliminary visualizations of cinematic sequences (known as previsualization) and on-set to preview computer-generated environments and visual effects (known as virtual production).
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