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--- ongoing [2010/12/08 16:39] – bil
+++ ongoing [2011/04/18 20:34] (current) – bil
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 ====== Ongoing projects ======
+No projects are ongoing yet.
 <html><!--
-====== Web-based digital signage system ======
+====== Acoustic Cues and Self Motion ======
-**Student**:  Ankit Agrawal
+**Student**:  Evangelos Zotos
-**Supervisor**:  John Amanatides
+**Supervisor**:  Michael Jenkin
 __Description__
-Build a web-based digital signage system for Bethune College. Some of the technologies that you will be expected to learn/use include Javascript, JQuery, HTML, CSS, and ical/CalDAV. We expect to go open source with this software so that others can use it as well. The deliverables will also include an analysis of what it takes to scale this type of signage campus wide, including provisions for campus alerts/emergency announcements and a prototype for such a system.
+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.
-====== Tandem repeat detection using spectral methods ======
-**Student**:  Mohamad Alsabbagh
-**Supervisor**:  Suprakash Datta
-__Description__
-DNA sequences of organisms have many repeated substrings. These are called repeats in Biology, and include both exact as well as approximate repeats. Repeats are of two main types – interspersed repeats (which are spread across a genome) and tandem repeats, which occur next to each other. Tandem repeats play important roles in gene regulation and are also used as markers that have several important uses, including human identity testing.
-Finding tandem repeats is an important problem in Computational Biology. The techniques that have been proposed for it fall into two classes – string matching algorithms and signal processing techniques. In this project, we will explore fast, accurate algorithms for detecting tandem repeats and evaluate the outputs of the algorithms studied by comparing their outputs with those of available packages, including mreps (http://bioinfo.lifl.fr/mreps/), SRF (http://www.imtech.res.in/raghava/srf/) and TRF (http://tandem.bu.edu/trf/trf.html).
-The student will implement the spectral algorithms used in [1] (one based on Fourier Transforms and one on autoregressive models). He will then make changes suggested by the supervisor, and evaluate the effect of the modifications.
-Throughout the course, the student is required to maintain a course Web site to report any progress and details about the project.
-====== Entropy-based concept drift detection ======
-**Student**:  Junjie Guo
-**Supervisor**:  Aijun An
-__Description__
-The student will design and implement an entropy-based concept drift detection method. The method will be an improved version of the entropy-based method described by Vorburger and Bernstein, which is likely to contain flaws. The student will first study the original method, identify problems, implement the method to verify the identified problems, implement a corrected version of the method and evaluate the corrected version on a number of data stream data sets. The student is also expected to improve the corrected version of the entropy-based drift detection method by using the bootstrapping technique to automatically determine the threshold used in the entropy-based method.
-====== Computer Security Lab Evaluation ======
-**Student**:  Yongcheol Kim
-**Supervisor**:  Bil Tzerpos
-__Description__
-The project will require the student to evaluate a series of computer
-secutiry lab exercises. The exercises will be prepared by the
-supervisor. The student will evaluate the clarity with which the lab
-exercises have been presented, whether the necessary background has been
-sufficiently covered, and whether it is feasible to complete the lab
-exercise in the space of one week.
-A similar evaluation process will take place for the term project. This
-will also be provided by the supervisor.
-====== Assistive Technology Software: Narratives for Information Delivery and Deployment ======
-**Student**:  Sidrah Laldin
-**Supervisor**:  Melanie Baljko
-__Description__
-Assistive technology software refers to a family of software packages and tools that are used by individuals who experience the effects of disability that arise from motor, linguistic, sensory or cognitive disorder or impairment.  Such software is almost always used in conjunction with specialized computer hardware and/or input devices.  For instance, an individual who has quadriplegia might use specialized text entry software in conjunction with a sip’n’puff switch  (a mouth-operated device that emulates two buttons).
-Assistive technology software falls into several categories: closed- vs open-source; free vs. proprietary software; commercially available (aka “payware”) vs shareware vs freeware. Assistive technology software is most often obtained by clinicians (Speech Language Pathologists, Occupational Therapists, Education Specialists).   If the procurement is being done under the Ontario Ministry of Health and Long-Term Care’s Assistive Devices Program (ADP), then the software is “prescribed” (in the medical sense of the word).
-A current project underway in the Multimodal Mediated Communcation (MuMeC) Research Lab is the design best practices and the logistical framework for the deployment of assistive technology software that has already been developed.  This is a non-trivial project with not only technical and software aspects, but also commercialization and IP issues.
-====== Simulation of a 6dof virtual reality tracker ======
-**Student**:  Kapil Patel
-**Supervisor**: Wolfgang Stuerzlinger
-__Description__
-Previous work by the supervisor resulted in a novel and highly accurate Virtual Reality tracking system that matches or exceeds the specifications of all competing systems. However, this system works only in 5 or 6-sided immersive display environment.
-This project is the first step towards an adaptation of the technology for more general environments. In particular we target normal rooms and immersive displays with less than 5 screens. The technical work involves adapting the simulation software for the previous device to simulate a new design, and iteratively optimizing that design based on the results obtained.
-====== Electronic voting system ======
-**Student**:  Nauman Rana
-**Supervisor**:  John Amanatides
-__Description__
-Build a stand-alone electronic voting system. It is to be a web-based, open source system that can have on-line elections of several thousand voters. Multiple elections can be going on at the same time. A web front-end for administrators is also required. the test system will run on a Mac OSX server, and be accessed via the web by both administrators and voters.
-====== Cluster visualization using Multi-Core GPUs and CUDA ======
-**Student**:  Roozbeh Takhayorie
-**Supervisor**:  Suprakash Datta
-__Description__
-The development of high-throughput experiments in Biology has made available huge amounts of data, and there is a pressing need for the development of analysis tools for them. In this work we focus on clustering and the visualization of clustered data. While techniques for cluster visualization exist, the computational costs involved result in large running times for large data sets. This project will investigate the use of parallel computing using modern graphics processors (GPU) in speeding up cluster data visualization.
-There are many different high-dimensional datasets and many different clustering algorithms available today. While several analytical cluster evaluation methodologies exist, many experimental scientists like to evaluate cluster quality visually. This is standard practice in many fields of Biology, including Flow Cytometry. We would like to develop a visualization tool that takes two clusters input by the user and displays the clusters from the best possible viewpoint. A good candidate for the best possible viewpoint is one that separates the clusters as much as possible.
-The first responsibility of the student in this project is to learn to write programs in the CUDA architecture [1]. Then he will learn to use a few well-known libraries ported to CUDA, especially BLAS/LAPACK for linear algebra and SVM for machine learning. The student will then work with the supervisor to develop cluster visualization tools using CUDA. The project will use some ideas from the Ggobi package [2], but implement them to exploit the parallelism of GPUs. Since this project is quite ambitious, the emphasis will be on the first part – the development of basic tools using CUDA and the use of well-known libraries.
-The supervisor will provide the datasets and the clustering algorithms that can generate clustered data. The student will use them to demonstrate the output of his visualization tool.
-====== Estimating Registration Error ======
-**Student**: Lalit Walia
-**Supervisor**: Burton Ma
-__Description__
-A fundamental step in computer-assisted surgery is registration where the anatomy of the patient is matched to an image or model of the anatomy. For some types of orthopaedic procedures, registration is performed by digitizing the locations of points on the surface of a bone and matching the point locations to the surface of a model of the bone. Here, a surgeon uses a pointer that is tracked using an optical tracking system to measure registration point locations on a patient. A registration algorithm is used to compute the transformation that best matches the points to a model of the anatomy.
-Virtual navigational information (such as where to drill or cut the bone) can be provided to the surgeon after the registration transformation has been established. Here, a surgeon is using a tracked surgical drill to drill a hole along a pre-operatively defined path. Notice that the surgeon looks at the virtual navigational information instead of the patient when performing this task.
-Computer-assisted surgical navigation depends on having an accurate registration. If the estimated registration is inaccurate then the navigational information will also be inaccurate, which may lead to errors in the surgical procedure. It is of great interest to know the accuracy of the estimated registration.
-Further details on the project can be found [[http://www.cse.yorku.ca/~burton/4080/4080.html|here]].
+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.
-====== Programming Multi-Core GPUs with CUDA ======
+====== Implementation and Analysis of a Non-blocking Chromatic Search Tree ======
-**Student**: Huajian Wang
+**Student**:  Trevor Brown
-**Supervisor**: Franck van Breugel
+**Supervisor**:  Eric Ruppert
 __Description__
-CUDA stands for "compute unified device architecture."  It is an architecture to program multicore graphical processing units (GPUs for short).  In the past, these GPUs were only used for graphics. However, CUDA allows us to use these GPUs for other types of computation. Since today's GPUs have hundreds of cores, algorithms can be parallelized and, hence, run often much faster.
+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.
-The aim of this project is to get familiar with GPUs and to study how to program them.
+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.
-More details can be found at: [[http://www.cse.yorku.ca/~franck/projects/cuda.html]]
+Finally, the project would attempt to establish formal proofs that the
-(this link is only accessible from machines within the domain yorku.ca.)
+structure provides guarantees regarding balance and worst-case performance.
+If time permits, further work will be done towards establishing the
+correctness of the algorithm.
-====== Low-Cost Three-Dimensional Face Scanning System ======
+====== UCOSP: Development for Encyclopedia of Life ======
-**Student**: Thomas Young
+**Student**:  Feng Sun
-**Supervisor**:  James Elder
+**Supervisor**:  Vassilios Tzerpos
 __Description__
-Low-cost three-dimensional face-scanning systems have a large range of potential applications in security and retail markets.  Our laboratory at York University has recently developed a prototype face-scanning system that has the potential for very low-cost mass production.  This project involves the development of a second-stage prototype that is one-step closer to commercialization.
+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 project will involve systems design and development of a specialized real-time 3D face scanner.  A combination of hardware and software design will be required.  The student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project.  The student will develop skills in both hardware and software design, as well as computer-vision techniques.
+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.
-For more information on the laboratory: [[http://www.elderlab.yorku.ca]]
+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.
---></html>
+More information: [[http://www.eol.org]]
+--> </html>