projects
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- | ====== Currently offered Projects, | + | ====== Currently offered Projects, |
(Listed in order received.) | (Listed in order received.) | ||
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | **Recommended Background**: | + | The Leap Motion, leapmotion.com, |
- | __Description__ | + | ====== 3D Drawing System |
- | 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 | + | |
+ | **Supervisor**: | ||
+ | **Required Background**: | ||
- | ---- | + | The 3Gear system, threegear.com, |
- | : | + | |
- | ---- | + | |
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | **Recommended Background**: | + | This project compares the Leap Motion and the 3Gear System against each other in a comparative Fitts' law study |
- | __Description__ | + | ====== Tilt Target Selection |
- | 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**: |
- | **Supervisor**: | + | **Required Background**: General 4080 prerequisites, |
- | **Requirements**: | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. |
- | __Description__ | + | **Readings**: |
- | To provide visual surveillance over a large environment, | + | ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== |
- | 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**: |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. For example, when a student asks a question, communication will be more effective if the instructor has a zoomed view of the student’s face, so that s/he can interpret expressions etc. |
+ | |||
+ | 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 | ||
+ | - Implement algorithms for detecting hand-raises based upon this investigation | ||
+ | - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology | ||
+ | |||
- | Although the Manhattan world assumption provides powerful constraints, | + | ====== Continuation of a Path Diagram |
- | 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. | + | **Supervisor**: |
- | For more information on the laboratory: [[http:// | + | **Required Background**: General CSE408x prerequisites |
- | ---- | + | **Recommended Background**: Java software development |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular in the educational |
- | **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. |
- | **Requirements**: | + | 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 |
- | __Description__ | + | More details {{: |
- | 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. | + | ====== Numerical Methods ====== |
- | 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. | + | **Supervisor**: |
- | For more information on the laboratory: [[http:// | + | **Required Background**: Good grade in a Numerical Methods course and good knowledge |
- | + | of Fortran, C or similar language. | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Tandem repeat detection using spectral | + | **Description**: |
+ | polynomial equations, with a view to comparing different known methods. | ||
- | **Supervisor**: | + | ====== Enabling SaaS access to an experimental AI planner ====== |
- | **Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems. | + | **Supervisor**: Sotirios Liaskos (liaskos at yorku dot ca) |
- | **Recommended | + | **Required |
+ | 3402 -- Functional & Logic Programming, | ||
+ | 3101 -- Design and Analysis of Algorithms, | ||
+ | 4302 -- Compilers and Interpreters. | ||
- | __Description__ | + | **Description**: |
- | DNA sequences | + | |
- | Finding tandem repeats is an important problem | + | The components are various Unix executables and LISP programs that need to interact |
- | The student will implement existing spectral algorithms based on Fourier Transforms | + | Learning objectives: |
+ | * Understand the technologies | ||
+ | * Study a state-of-the-art AI planner | ||
+ | * Exercise scripting skills. | ||
+ | ====== Predicting Angular Error in Rigid Registration ====== | ||
+ | **Supervisor**: | ||
- | ---- | + | **Description**: |
- | : | + | 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. | ||
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Description**: Tracked pointers are the most common tools used in surgical |
- | CSE3461 (or equivalent), CSE3311 (or equivalent), | + | navigation systems. A typical pointer has a tracked target on one |
- | A student wishing | + | 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 | ||
+ | there is in the calibrated tip position, and methods | ||
+ | the variance of the calibrated tip position. | ||
- | **Recommended Background**: | + | ====== A privacy safeguard framework for sharing photos on Facebook ====== |
- | 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. | + | |
- | + | ||
- | + | ||
- | + | ||
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | **Recommended background**: Signal processing | + | **Description**: |
+ | One of the major privacy concerns in Online Social Networks is photo sharing. | ||
- | Project Description: This research will develop advanced computer-aided, | + | **Required prerequisite background**: |
- | 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, | + | |
- | 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. | + | |
- | ---- | + | **Desired prerequisite**: Knowledge of image processing, Facebook API, JavaScript Object Notation (JSON) |
- | : | + | |
- | ---- | + |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc