projects
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projects [2011/09/06 00:11] – added mcnamee and wang dymond | projects [2013/09/03 22:56] – pd | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | |
- | ====== | + | Current proposed Projects, Fall 2013 |
+ | \\ | ||
+ | ====== | ||
- | **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 |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | Additional current possible | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ | ||
- | ---- | + | =====Past Proposed Projects from Summer 2013===== |
- | : | + | |
- | ---- | + | |
- | ====== | + | ======Tracking |
- | **Supervisor**: | + | **Supervisor**: |
- | **Requirements**: Good facility with applied mathematics | + | **Required Background: |
- | __Description__ | + | **Short 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 | + | [1] A. Mohammadi |
- | The student will work closely with graduate students | + | [2] A. Mohammadi |
- | For more information on the laboratory: [[http:// | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | + | ||
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Tandem repeat detection using spectral methods ====== | + | **Supervisor**: |
- | **Supervisor**: Suprakash Datta | + | **Required Background**: 3D computer graphics, C/C++ coding |
- | **Required Background**: | + | The Leap Motion, leapmotion.com, |
- | **Recommended Background**: | + | ====== 3D Drawing System with 3Gear gesture tracker ====== |
- | __Description__ | + | **Supervisor**: Wolfgang Stuerzlinger |
- | 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:// | + | **Required Background**: 3D computer graphics, C/C++ coding |
- | 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 | + | The 3Gear system, threegear.com, lets users control a computer with their hands and fingers. This project creates |
+ | ====== Tilt Target Selection on Touchscreen Phones ====== | ||
- | ---- | + | **Supervisor**: Scott MacKenzie |
- | : | + | |
- | ---- | + | |
- | ====== Touch- | + | **Required Background**: |
- | **Supervisor**: | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. |
- | **Required Background**: | + | **Readings**: MacKenzie, I. S., & Teather, R. J. (2012). FittsTilt: The application of Fitts’ law to tilt-based interaction. Proceedings of the Seventh Nordic Conference on Human-Computer Interaction – NordiCHI 2012, pp. 568-577. New York: ACM. |
- | CSE3461 (or equivalent), CSE3311 (or equivalent), CSE4441 | + | |
- | A student wishing | + | |
- | **Recommended Background**: | + | ====== Continuation |
- | Possession | + | |
- | __Description__ | + | **Supervisor**: |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
+ | **Required Background**: | ||
+ | **Recommended Background**: | ||
- | ---- | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular in the educational and behavioral sciences. SEM allows researchers to test the validity of hypothesized models involving complex relationships among multiple variables. Collected data is used to estimate the parameters of the equations and assessing the fit of the model. |
- | : | + | |
- | ---- | + | |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | **Supervisor**: | + | The software required is an application that allows researchers to define their hypothesized models visually and will output the correct syntax for the analytical software of their choosing. |
- | **Required Background**: | + | To date a promising functional application has been developed in JAVA by a Computer Science student as a 4080 project. The existing software allows the user to draw a path diagram and outputs code for the R package sem. There are a number of improvements to be made (refinements and additions to graphical user interface) and then the application needs to be extended to output syntax appropriate for additional software applications (openMX, MPlus and EQS). Though this project may not begin at “the first stages” of the software lifecycle, this scenario is likely common in the software development market. In addition, the student will be working with a primary “client” who is far less technically advanced, which is also reflective of real-world situations. |
- | **Recommended background**: Signal processing, i.e. CSE3451 | + | More details {{:continuation_of_a_path_diagram_to_syntax_application.pdf|here}}. |
- | Project Description: | ||
- | processing techniques for early detection of breast cancer using the available | ||
- | 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 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 of our algorithms. The next step is to compare the | ||
- | 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. | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== Developing Fast Speech Recognition Engine using GPU ====== | ||
- | **Supervisor**: | + | ====== Enabling SaaS access to an experimental AI planner ====== |
- | **Required Background**: | + | **Supervisor**: Sotirios Liaskos (liaskos at yorku dot ca) |
- | General prerequisites | + | |
+ | **Required Background**: | ||
+ | 3402 -- Functional & Logic Programming, | ||
+ | 3101 -- Design and Analysis of Algorithms, | ||
+ | 4302 -- Compilers and Interpreters. | ||
- | __Description__ | + | **Description**: |
- | Recently, Graphics Processing Units (GPU' | + | The components are various Unix executables and LISP programs |
- | During | + | Learning objectives: |
+ | * Understand | ||
+ | * Study a state-of-the-art AI planner and understand its workings. | ||
+ | * Exercise scripting skills. | ||
- | References | ||
- | [1] Kisun You, Jike Chong, Youngmin Yi, Gonina, E., Hughes, C.J., Yen-Kuang Chen, Wonyong Sung, Keutzer, K., " | + | ====== Predicting Angular Error in Rigid Registration ====== |
- | [2] Jike Chong, Ekaterina Gonina, Youngmin Yi, Kurt Keutzer, "A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit," Proc. of Interspeech 2009, Brigton, UK, 2009. | + | **Supervisor**: Burton Ma |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Solving Polynomials ====== | + | |
- | **Supervisor**: Mike McNamee | + | **Description**: Registration is a fundamental step in image-based surgical |
+ | navigation. Several (seemingly) different approaches for predicting | ||
+ | distance errors in registration are known, but for some surgical | ||
+ | procedures, the angular error in registration is more important. | ||
+ | This project will validate an approach for predicting angular | ||
+ | error in registration; | ||
+ | simulated and actual registration data for testing purposes. | ||
- | **Required Background**: | + | ====== Calibration of a Tracked Pointer ====== |
- | General prerequisites plus course | + | |
+ | **Supervisor**: Burton Ma | ||
+ | |||
+ | **Description**: | ||
+ | navigation systems. A typical pointer has a tracked target on one | ||
+ | end and a sharp or ball tip on the other end. Finding the location | ||
+ | of the tip relative to the target is a calibration problem. One | ||
+ | solution to the calibration problem involves pivoting the pointer | ||
+ | about the tip while tracking the target; if the tip is kept | ||
+ | stationary, then the target moves on the surface of a sphere. | ||
+ | Fitting the tracking data to the surface of a sphere yields the | ||
+ | location of the tip as the sphere center. Unfortunately, | ||
+ | calibrated tip position obtained using such a spherical calibration | ||
+ | has high variance. This project will investigate how much variance | ||
+ | there is in the calibrated tip position, and methods for reducing | ||
+ | the variance of the calibrated tip position. | ||
+ | |||
+ | |||
+ | ====== A privacy safeguard framework for sharing photos on Facebook ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **Description**: | ||
+ | One of the major privacy concerns in Online Social Networks is photo sharing. | ||
- | __Description__ | + | **Required prerequisite background**: |
- | In this project you will compare several efficient methods for solving polynomials. Pre-req: course in Numerical methods and some knowledge | + | **Desired prerequisite**: Knowledge |
- | ---- | + | |
- | : | + | |
- | ---- | + |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc