No projects are ongoing yet.

<!--   ====== Acoustic Cues and Self Motion ======   **Student**: Evangelos Zotos   **Supervisor**: Michael Jenkin   __Description__   We are capable of estimating the magnitude of our own self-motion and the relative motion of other objects as we move about in our natural environment. This perception is based on information arising from several sensory modalities including visual, auditory, and physical motion. In general, the perceived distance of self-motion is over-estimated when using visual or physical motion cues solely or even in conjunction, although judgments are more accurate when both cues are available. In other words, the distance we perceive ourselves to have moved is typically greater than the distance we have actually moved. Despite the potential contribution of dynamic auditory localization to the perception of self-motion, few studies have examined the effects on auditory cues on the perception of self-motion and the effect of auditory cues may have on our visual perception and more specifically, our visual motion perception.   The purpose of this project is twofold: i) develop software that will permit conducting of psychophysical experiments that examine audio + visual motion perception, and ii) conduct an experiment that will investigate the interaction of audio + visual cues on our perception of self-motion. The software will be developed using the Unity Game Development Tool and will be developed to allow for maximum robustness. More specifically, it will allow for various experimental parameters (rate of acceleration, size of the environment/hallway where the motion takes place, amongst others) to be easily modified thus allowing to investigate their effect on self-motion perception.   ====== Implementation and Analysis of a Non-blocking Chromatic Search Tree ======   **Student**: Trevor Brown   **Supervisor**: Eric Ruppert   __Description__   This project seeks to take the theoretical description of the non-blocking chromatic search tree that was developed in a previous CSE4080 project and produce a Java implementation, then perform experiments to test it and compare it with other leading concurrent dictionary structures.   Additionally, many potential performance improvements and structural or algorithmic variations on the aforementioned theoretical description were identified during the last project. This project would attempt to explore many of these variations to further refine the theoretical description, and produce a competitive dictionary algorithm. In particular, this project would provide a dictionary implementation with better worst-case performance guarantees than previous non-blocking dictionary implementations.   Finally, the project would attempt to establish formal proofs that the structure provides guarantees regarding balance and worst-case performance. If time permits, further work will be done towards establishing the correctness of the algorithm.   ====== UCOSP: Development for Encyclopedia of Life ======   **Student**: Feng Sun   **Supervisor**: Vassilios Tzerpos   __Description__   The Encyclopedia of Life (EOL) is a free, online collaborative encyclopedia intended to document all of the 1.8 million living species known to science. It is compiled from existing databases and from contributions by experts and non-experts throughout the world.   The ultimate criteria of success for a web application is the user experience. EOL is no exception. This project involves creating a framework for describing how visitors are supposed to interact with Encyclopedia of Life. It automatically checks that a new version the EOL code is functioning as expected. It is very beneficial for open source projects to be released often, and automated tests decrease the cost of releases dramatically and ensure the integrity of the data, code, and visual representation. The tests are run either in production or a duplicate of the production environment. The acceptance testing framework can be extended to check any website, not only EOL, by changing the configuration and defining new test suites. It also enables testing a web application with different browsers and operating systems.   Acceptance testing is an import skill for aspiring developers. By participating in this project you will learn the inner mechanics of operating a browser automatically using scripts, emulating a real person's actions. This project will provide experience using Selenium (a leading open source acceptance testing tool), XML, XPATH, CSS selectors, and Behavior Driven Development.   More information: [[http://www.eol.org]]   -->