projects
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projects [2011/09/03 21:14] – dymond | projects [2013/09/09 17:57] – 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 ====== | + | |
+ | 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. | ||
+ | |||
+ | 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. | ||
+ | |||
+ | 1. | ||
+ | 2. | ||
+ | 3. | ||
+ | |||
+ | ------------ | ||
+ | |||
- | **Supervisor**: Nick Cercone | + | \\ |
+ | ====== Hunting for Bugs in Logging: applying JPF to log4j ====== | ||
- | **Required Background**: General CSE408x prerequisites | + | **Supervisor:** Franck van Breugel |
- | **Recommended Background**: Data Mining | + | 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. | ||
+ | to detect bugs in log4j by means of JPF with very limited succes. | ||
- | __Description__ | + | Recently, in collaboration with Shafiei (NASA) we have developed |
- | The Athenians Project is a multi-year, ongoing project | + | an extension of JPF called jpf-nhandler. |
- | Possible | + | is to apply this extension |
- | how to present data in the best possible way, add spatial characteristics | + | |
- | 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 ====== | + | [1] David A. Dickey, B. Sinem Dorter, J. Michael German, Benjamin D. Madore, Mark W. Piper, Gabriel L. Zenarosa. " |
- | **Supervisor**: James Elder | + | **Required Background:** General CSE408x prerequisites |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ======Hybrid 2D/3D User Interfaces for 3D Rotation ====== | ||
- | **Requirements**: Good facility with applied mathematics | + | **Supervisor:** Wolfgang Stuerzlinger |
- | __Description__ | + | **Required Background: |
- | To provide visual surveillance over a large environment, | + | This project implements and evaluates |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ====== Immersive Virtual Reality Kitchen Planner ====== | ||
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | **Supervisor: |
- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | + | **Required Background: |
- | This project | + | This project |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ======3D Interaction | ||
- | Although the Manhattan world assumption provides powerful constraints, | + | **Supervisor:** Wolfgang Stuerzlinger |
- | 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. | + | **Required Background: |
- | For more information on the laboratory: [[http:// | + | This project implements and tests various 3D Navigation and 3D Interaction methods in an immersive virtual reality system. The target is to enable |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ====== Leveraging binary instrumentation to support monitoring and debugging of large scale software system in the field====== | ||
+ | **Supervisor: | ||
- | ---- | + | **Required Background:** Good programming skills (especially in Java); Good analytical and communication skills; Interested in large complex software systems and automated software analysis. |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | + | **Short Description: |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
- | **Supervisor**: | + | ====== Mining Software Repositories Data====== |
- | + | ||
- | **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:// | + | |
- | + | ||
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Tandem repeat detection using spectral methods ====== | + | **Supervisor: |
- | **Supervisor**: Suprakash Datta | + | **Required Background:** Good programming skills in Java; Good analytical and communication skills; Knowledge in AI and statistics; Interested in large scale software analysis |
- | **Required Background**: The student should have completed undergraduate courses | + | **Short Description: |
- | **Recommended Background**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | __Description__ | + | ======Reliably tracking horizontal eye movements====== |
- | 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:// | + | **Supervisor:** Wolfgang Stuerzlinger |
- | 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 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. | + | **Required Background: |
+ | **Description: | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | ======Model-based Design and Development of Embedded Systems with Code Generation Tools====== | ||
- | ---- | + | **Supervisor:** Jia Xu |
- | : | + | |
- | ---- | + | |
- | ====== Touch- and Gesture-based Text Entry With Automatic Error Correction ====== | + | **Required Background: |
+ | such as Arduino. | ||
- | **Supervisor**: Scott Mackenzie | + | **Project Description: |
- | **Required Background**: | + | Model-based design with code generation tools can be used for simulation, rapid prototyping, and hardware-in-the-loop testing of embedded systems. This project explores model-based design and development of embedded systems on various hardware platforms with code generation tools. The selected student will develop and test embedded systems using model-based design and code generation tools such as MathWorks MATLAB /Simulink Coder. |
- | CSE3461 (or equivalent), | + | |
- | A student wishing to do this project must be well versed in Java, Eclipse, and developing java code for the Android operating system. | + | |
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
- | **Recommended Background**: | + | ======C2000 Concerto Microcontrollers====== |
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | + | |
- | __Description__ | + | **Supervisor: |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
+ | **Required Background: | ||
+ | strong C programming skills, solid knowledge of microcontrollers | ||
+ | **Description: | ||
+ | two cores on a single-chip with on-chip low latency interprocessor communication between the two cores: a C28x 32-bit control core for | ||
+ | real-time control with faster/more loops and small sampling window; | ||
+ | and an ARM 32-bit Cortex-M3 host core for communications and general purpose. The selected student will evaluate the capabilities of the | ||
+ | C2000 Concerto family of microcontrollers through testing and investigating open source software for real-time control applications | ||
+ | that runs on C2000 Concerto Microcontrollers. | ||
- | ---- | + | \\ |
- | : | + | ------------------ |
- | ---- | + | \\ |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | **Supervisor**: | + | ======Real-Time Bidding Platform====== |
- | **Required Background**: General CSE408x prerequisites | + | **Supervisor:** Jia Xu |
- | **Recommended background**: Signal processing | + | **Required Background:** At least a B+ in Operating System Fundamentals |
+ | (CSE3221), strong Ubuntu/ | ||
- | Project | + | **Description: |
- | processing techniques for early detection | + | |
- | modalities. In particular, we propose to develop time reversal beamforming imager, | + | |
- | 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 for breast cancer detection by applying time reversal signal | + | |
- | processing on MRI breast data. In this research, we propose to extend these results to | + | |
- | provide | + | |
- | 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 | + | |
- | estimated locations of the tumours | + | |
- | locations as identified by the pathologists. The second step will quantify the accuracy | + | |
- | of our estimation algorithms. | + | |
- | ---- | + | \\ |
- | : | + | ------------------ |
- | ---- | + | \\ |
+ | More project proposals may be added here in the first week of fall term. | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc