projects
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projects [2011/09/03 21:14] – dymond | projects [2013/09/08 19:14] – pd | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | |
- | ====== | + | \\ |
+ | ====== | ||
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
- | **Recommended Background**: Robotics | + | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. |
+ | |||
+ | The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. | ||
+ | |||
+ | In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will: | ||
+ | |||
+ | - Study the problem of detecting hand-raises in the preattentive sensor stream | ||
+ | - Implement algorithms for detecting hand-raises based upon this investigation | ||
+ | - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology | ||
- | __Description__ | ||
- | An opportunity exists for a small number of students to build an autonomous motorboat using a RC motorboat as a base and integrating computation and control in the form of a Beagleboard. Students will participate in lectures and labs associated with CSE6324 (Part I). Interested students should attend the first lecture of CSE6324. See the departmental schedule for time and place. | ||
+ | ====== Attentive Sensing for Sport Video Recording Markets ====== | ||
+ | **Supervisor**: | ||
- | ---- | + | **Required Background**: Good programming skills; Good math skills; Knowledge of C and MATLAB programming languages |
- | : | + | |
- | ---- | + | |
- | ====== Athenians Data Project ====== | ||
- | |||
- | **Supervisor**: | ||
- | |||
- | **Required Background**: | ||
- | |||
- | **Recommended Background**: | ||
- | |||
- | __Description__ | ||
- | The Athenians Project is a multi-year, ongoing project of compiling, computerizing and studying data about the persons of ancient Athens. | ||
- | Possible project ideas for this term span from simpler ones such as | ||
- | how to present data in the best possible way, add spatial characteristics to existing data, | ||
- | add multimedia data, improve text searching, etc. to more complex ideas such as filling | ||
- | missing parts for the " | ||
- | words has been done in the past using expert knowledge. Those experts have establish | ||
- | certain rules/ | ||
- | when talking in IT terminology. Furthermore, | ||
- | the database with some likelihood. Associating probabilities with hypotheses introduces | ||
- | another opportunity for research projects. | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | |||
- | ====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ====== | ||
- | |||
- | **Supervisor**: | ||
- | |||
- | **Requirements**: | ||
- | |||
- | __Description__ | ||
- | |||
- | To provide visual surveillance over a large environment, | ||
- | |||
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | ||
- | |||
- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | ||
- | |||
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | ||
- | |||
- | Although the Manhattan world assumption provides powerful constraints, | ||
- | |||
- | 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. | ||
- | |||
- | For more information on the laboratory: [[http:// | ||
- | |||
- | ---- | ||
- | : | ||
- | ---- | ||
- | |||
- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | ||
- | |||
- | **Supervisor**: | ||
- | |||
- | **Requirements**: | ||
- | |||
- | __Description__ | ||
- | |||
- | Facilities planning at both city (e.g., Toronto) and institutional (e.g., York University) scales requires accurate data on the flow of people and vehicles throughout the environment. | ||
- | |||
- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. | ||
- | |||
- | This project will explore the use of computer vision algorithms for the automatic estimation of pedestrian and vehicle flows from video surveillance data. The ultimate goal is to provide planners with accurate, continuous, up-to-date information on facility usage to help guide planning. | ||
- | |||
- | 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. | ||
- | |||
- | For more information on the laboratory: [[http:// | ||
- | ---- | + | The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. |
- | : | + | |
- | ---- | + | The general problem is to use attentive sensing technology (www.elderlab.yorku.ca) to visually detect and track multiple moving agents (e.g., skiers, riders, horses) and to select specific agents for active high-resolution smooth pursuit. |
- | + | ||
- | ====== Tandem repeat detection using spectral methods ====== | + | The student will work with senior graduate students, postdoctoral fellows and research scientists to help modify the attentive sensing technology to operate in these domains. |
- | + | ||
- | **Supervisor**: | + | 1. |
- | + | 2. | |
- | **Required Background**: | + | 3. Modify these algorithms to improve performance on these datasets |
+ | |||
+ | ------------ | ||
+ | |||
- | **Recommended Background**: | + | \\ |
+ | ====== Hunting for Bugs in Logging: applying JPF to log4j ====== | ||
- | __Description__ | + | **Supervisor:** Franck van Breugel |
- | 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 | + | Description: |
+ | Java PathFinder (JPF) is a tool that can detect bugs in Java code. | ||
+ | The Java library Apache log4j allows developers to control which log | ||
+ | statements are output. In the past, Dickey et al. [1] have attempted | ||
+ | to detect bugs in log4j by means of JPF with very limited succes. | ||
- | The student will implement existing spectral algorithms based on Fourier Transforms and on an autoregressive model. He will then make changes suggested by the supervisor, and evaluate the effect | + | Recently, in collaboration with Shafiei (NASA) we have developed |
+ | an extension of JPF called jpf-nhandler. The aim of this project | ||
+ | is to apply this extension | ||
+ | [1] David A. Dickey, B. Sinem Dorter, J. Michael German, Benjamin D. Madore, Mark W. Piper, Gabriel L. Zenarosa. " | ||
+ | **Required Background: | ||
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ======Hybrid 2D/3D User Interfaces for 3D Rotation ====== | ||
+ | **Supervisor: | ||
- | ---- | + | **Required Background:** General 408X prerequisites, |
- | : | + | |
- | ---- | + | |
- | ====== | + | This project implements and evaluates a new method for 3D Rotation where the user uses both a 2D and 3D user interface to complete the task. The fundamental idea is to use the 3D interface for large-scale manipulation, |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ====== | ||
- | **Supervisor**: Scott Mackenzie | + | **Supervisor:** Wolfgang Stuerzlinger |
- | **Required Background**: | + | **Required Background:** General 408X prerequisites, 3D Computer Graphics |
- | CSE3461 (or equivalent), CSE3311 | + | |
- | A student wishing to do this project must be well versed in Java, Eclipse, and developing java code for the Android operating system. | + | |
+ | This project implements a kitchen planner application for an immersive virtual reality system. The implementation will be based on Unity 4. | ||
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ======3D Interaction in Immersive Virtual Reality====== | ||
- | **Recommended Background**: | + | **Supervisor:** Wolfgang Stuerzlinger |
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | + | |
- | __Description__ | + | **Required Background: |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
+ | This project implements and tests various 3D Navigation and 3D Interaction methods in an immersive virtual reality system. The target is to enable the user to roam freely in a large environment while still being able to interact with the environment. The implementation will be based on Unity 4. | ||
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ====== Leveraging binary instrumentation to support monitoring and debugging of large scale software system in the field====== | ||
+ | **Supervisor: | ||
+ | **Required Background: | ||
+ | **Short Description: | ||
+ | | ||
+ | ------------ | ||
+ | \\ | ||
- | ---- | + | ====== |
- | : | + | |
- | ---- | + | |
- | ====== | + | |
- | **Supervisor**: Amir Asif | + | **Supervisor:** Zhen Ming (Jack) Jiang (zmjiang at cse dot yorku dot ca) |
- | **Required Background**: General CSE408x prerequisites | + | **Required Background:** Good programming skills in Java; Good analytical and communication skills; Knowledge in AI and statistics; Interested in large scale software analysis |
- | **Recommended background**: Signal processing | + | **Short Description: |
- | Project Description: | + | ------------------ |
- | processing techniques for early detection of breast cancer using the available | + | \\ |
- | modalities. In particular, we propose to develop time reversal beamforming imager, | + | Additional current |
- | based on our earlier work in time reversal signal processing, for detecting early stage | + | \\ |
- | breast cancer tumours from MRI data. | + | ------------------ |
- | Our preliminary work has illustrated the type of | + | \\ |
- | results that are possible | + | \\ |
- | processing on MRI breast data. In this research, we propose to extend these results to | + | |
- | provide a quantitative understanding of the practical gains provided by time reversal | + | |
- | in MRI based breast cancer detection and its limitations. This will be accomplished | + | |
- | a local hospital, and running our algorithms on these datasets. The first step is | + | |
- | important to check the validity | + | |
- | estimated locations of the tumours (as derived with our algorithms) to their precise | + | |
- | locations as identified by the pathologists. The second step will quantify the accuracy | + | |
- | of our estimation algorithms. | + | |
- | ---- | ||
- | : | ||
- | ---- |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc