projects
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projects [2011/09/06 00:11] – added mcnamee and wang dymond | projects [2013/04/23 16:10] – mb | ||
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- | (Listed in order received.) | + | |
- | ====== Building an autonomous motorboat ====== | + | Currently offered Projects, Summer 2013 |
- | **Supervisor**: | + | (some projects still subject to confirmation) |
- | **Required Background**: | ||
- | **Recommended Background**: | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | __Description__ | + | **Supervisor**: |
- | 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. | + | |
+ | **Required Background**: | ||
+ | The Leap Motion, leapmotion.com, | ||
- | ---- | + | ====== 3D Drawing System with 3Gear gesture tracker ====== |
- | : | + | |
- | ---- | + | |
- | ====== Athenians Data Project ====== | + | **Supervisor**: |
- | **Supervisor**: Nick Cercone | + | **Required Background**: 3D computer graphics, C/C++ coding |
- | **Required Background**: | + | The 3Gear system, threegear.com, |
- | **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. | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Requirements**: | + | **Required Background**: General 4080 prerequisites, |
- | __Description__ | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. |
- | To provide visual surveillance over a large environment, many surveillance cameras are typically deployed at widely dispersed locations. | + | **Readings**: |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | ====== Attentive Sensing for Better Two-Way Communication |
- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | + | **Supervisor**: |
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | **Required Background**: |
+ | good math skills, knowledge | ||
- | Although | + | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. |
+ | |||
+ | The goal of this project | ||
+ | |||
+ | In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will: | ||
+ | |||
+ | | ||
+ | - Implement algorithms for detecting hand-raises based upon this investigation | ||
+ | | ||
- | 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:// | + | ====== Attentive Sensing for Sport Video Recording Markets ====== |
- | ---- | + | **Supervisor**: James Elder |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian | + | **Required Background**: |
- | **Supervisor**: | + | |
+ | 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. | ||
+ | |||
- | **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:// | ||
- | ---- | ||
- | : | ||
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- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | **Recommended Background**: | + | **Recommended Background**: |
- | __Description__ | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular |
- | DNA sequences of organisms have many repeated substrings. These are called repeats | + | |
- | Finding tandem repeats | + | The software required |
- | The student | + | To date a promising functional application has been developed in JAVA by a Computer Science |
+ | More details {{: | ||
- | ---- | + | ====== Enabling SaaS access to an experimental AI planner ====== |
- | : | + | |
- | ---- | + | |
- | ====== Touch- and Gesture-based Text Entry With Automatic Error Correction ====== | + | **Supervisor**: |
- | **Supervisor**: Scott Mackenzie | + | **Required Background**: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms and programming. Essential: 2031 -- Software Tools. Desired: |
+ | 3402 -- Functional & Logic Programming, | ||
+ | 3101 -- Design and Analysis of Algorithms, | ||
+ | 4302 -- Compilers and Interpreters. | ||
- | **Required Background**: | + | **Description**: This project involves enriching and integrating a set of fairly complex scripts, which are components of an Artificial Intelligence |
- | 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. | + | |
+ | The components are various Unix executables and LISP programs that need to interact in complex ways. The components may be residing in different servers in different universities. Currently integration is performed manually, at the expense of usability. Thus, we aim at constructing a module that: (a) integrates involved components to deliver output in one call, (b) exports a unique web interface (preferably following WSDL/SOAP) to be easily accessed by custom front-end tools by anyone, anywhere, (c ) offers a simple front-end for human users. | ||
- | **Recommended Background**: | + | Learning objectives: |
- | Possession | + | * Understand the technologies and process involved in turning native code into a web-service (" |
+ | * Study a state-of-the-art AI planner and understand its workings. | ||
+ | * Exercise scripting skills. | ||
- | __Description__ | ||
- | This project involves extending a touch-based text entry method to include automatic error correction. | ||
+ | ====== 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 |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | 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**: | + | ====== Calibration of a Tracked Pointer ====== |
- | **Required Background**: General CSE408x prerequisites | + | **Supervisor**: Burton Ma |
- | **Recommended background**: Signal processing, i.e. CSE3451 | + | **Description**: Tracked pointers are the most common tools used in surgical |
+ | 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. | ||
- | 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. | ||
- | ---- | + | ====== |
- | : | + | |
- | ---- | + | |
- | ====== | + | |
- | **Supervisor**: | + | **Supervisor**: |
- | + | ||
- | **Required Background**: | + | |
- | General prerequisites | + | |
- | + | ||
- | + | ||
- | __Description__ | + | |
- | + | ||
- | Recently, Graphics Processing Units (GPU' | + | |
- | + | ||
- | During the recent years, there is an increasing demand in the job market for programmers who can use GPU's for general purpose computing tasks. This project will serve as a perfect vehicle for you to learn such a cutting-edge programming skill. | + | |
- | + | ||
- | References | + | |
- | + | ||
- | [1] Kisun You, Jike Chong, Youngmin Yi, Gonina, E., Hughes, C.J., Yen-Kuang Chen, Wonyong Sung, Keutzer, K., " | + | |
- | + | ||
- | [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. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Solving Polynomials ====== | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | **Required Background**: | + | |
- | General prerequisites plus course in Numerical Methods, and knowledge of programming, | + | |
+ | **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