projects
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projects [2011/09/06 00:11] – added mcnamee and wang dymond | projects [2013/04/29 12:27] – 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**: | + | ======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks====== |
- | **Recommended Background**: Robotics | + | **Supervisor**: Amir Asif |
- | __Description__ | + | **Required Background: ** Computer Vision or Signal |
- | 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 | + | |
+ | **Short Description: | ||
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- | ====== Athenians Data Project ====== | + | [1] A. Mohammadi and A. Asif, Distributed Particle Filter Implementation with Intermittent/ |
- | **Supervisor**: | + | [2] A. Mohammadi and A. Asif, Decentralized Sensor Selection based on the Distributed Posterior Cramer-Rao Lower Bound, in proceedings of IEEE International Conference on Information Fusion, Singapore, 2012. pp. 1668-1675. |
- | **Required Background**: | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | **Recommended Background**: Data Mining | + | **Supervisor**: Wolfgang Stuerzlinger |
- | __Description__ | + | **Required Background**: |
- | 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/guidelines that may be possible to extrapolate in some kind of expert system | + | |
- | when talking in IT terminology. Furthermore, | + | |
- | the database with some likelihood. Associating probabilities with hypotheses introduces | + | |
- | another opportunity for research projects. | + | |
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- | ====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ====== | + | The Leap Motion, leapmotion.com, |
- | **Supervisor**: | + | ====== 3D Drawing System with 3Gear gesture tracker ====== |
- | **Requirements**: Good facility with applied mathematics | + | **Supervisor**: Wolfgang Stuerzlinger |
- | __Description__ | + | **Required Background**: |
- | To provide visual surveillance over a large environment, many surveillance cameras are typically deployed at widely dispersed locations. | + | The 3Gear system, threegear.com, lets users control a computer with their hands and fingers. This project creates a new 3D drawing system that enables users to quickly |
- | 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. | + | ====== Tilt Target Selection on Touchscreen Phones ====== |
- | Although the Manhattan world assumption provides powerful constraints, | + | **Supervisor**: Scott MacKenzie |
- | 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:// | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. Tilt is commonly used the change the orientation of the display between portrait and landscape. |
- | ---- | + | **Readings**: |
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- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Requirements**: Good facility with applied mathematics | + | **Required Background**: General CSE408x prerequisites, |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
- | __Description__ | + | 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 | ||
- | 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. | + | ====== Attentive Sensing |
- | 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. | + | **Supervisor**: |
- | 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:// | ||
- | ---- | + | 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. | ||
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- | ====== Tandem repeat detection using spectral methods ====== | + | |
- | **Supervisor**: | + | ====== Continuation of a Path Diagram to Syntax Application ====== |
- | **Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems. | + | **Supervisor**: Jeff Edmonds |
- | **Recommended | + | **Required |
- | __Description__ | + | **Recommended Background**: Java software development |
- | 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 | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular |
- | The student will implement existing spectral algorithms based on Fourier Transforms | + | The software required is an application that allows researchers to define their hypothesized models visually |
+ | 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. | ||
+ | More details {{: | ||
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- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | CSE3461 (or equivalent), CSE3311 (or equivalent), CSE4441 (or equivalent) | + | 3402 -- Functional & Logic Programming, |
- | A student wishing to do this project must be well versed in Java, Eclipse, and developing java code for the Android operating system. | + | 3101 -- Design and Analysis of Algorithms, |
+ | 4302 -- Compilers | ||
+ | **Description**: | ||
- | **Recommended Background**: | + | 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 |
- | Possession | + | |
- | __Description__ | + | Learning objectives: |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
+ | * Study a state-of-the-art AI planner and understand its workings. | ||
+ | * Exercise scripting skills. | ||
+ | ====== Predicting Angular Error in Rigid Registration ====== | ||
- | ---- | + | **Supervisor**: Burton Ma |
- | : | + | |
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- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | **Supervisor**: Amir Asif | + | **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 ====== |
- | **Recommended background**: Signal processing, i.e. CSE3451 | + | **Supervisor**: Burton Ma |
- | Project | + | **Description**: Tracked pointers are the most common tools used in surgical |
- | processing techniques for early detection of breast cancer using the available | + | navigation systems. A typical pointer |
- | modalities. In particular, we propose to develop time reversal beamforming imager, | + | end and a sharp or ball tip on the other end. Finding the location |
- | based on our earlier work in time reversal signal processing, for detecting early stage | + | of the tip relative to the target is a calibration problem. One |
- | breast cancer tumours from MRI data. | + | solution to the calibration problem involves pivoting the pointer |
- | Our preliminary work has illustrated the type of | + | about the tip while tracking the target; if the tip is kept |
- | results that are possible for breast cancer detection by applying time reversal signal | + | stationary, then the target moves on the surface of a sphere. |
- | processing | + | Fitting the tracking data to the surface |
- | provide a quantitative understanding | + | location |
- | in MRI based breast cancer detection and its limitations. This will be accomplished | + | calibrated tip position obtained using such a spherical calibration |
- | a local hospital, and running our algorithms | + | has high variance. This project |
- | important | + | there is in the calibrated tip position, and methods for reducing |
- | estimated locations | + | the variance |
- | locations as identified by the pathologists. The second step will quantify | + | |
- | of our estimation algorithms. | + | |
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- | ====== Developing Fast Speech Recognition Engine using GPU ====== | ||
- | **Supervisor**: | + | ====== A privacy safeguard framework for sharing photos on Facebook ====== |
- | **Required Background**: | + | **Supervisor**: |
- | 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. | + | |
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- | ====== 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 |
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projects.txt · Last modified: 2016/01/13 20:05 by stevenc