projects
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projects [2011/09/06 00:11] – added mcnamee and wang dymond | projects [2013/08/09 20:52] – pd | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | |
- | ====== Building an autonomous motorboat ====== | + | Current Projects, Fall 2013 |
- | **Supervisor**: | + | Current proposed |
- | **Required Background**: | + | ------------------ |
+ | \\ | ||
+ | \\ | ||
+ | =====Previous Projects, Summer 2013===== | ||
- | **Recommended Background**: | + | ======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks====== |
- | __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: ** Computer Vision or Signal and Systems Course preferred; Matlab; Interest in Signal/ | ||
+ | **Short Description: | ||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== Athenians Data Project ====== | ||
- | **Supervisor**: Nick Cercone | + | [1] A. Mohammadi and A. Asif, Distributed Particle Filter Implementation with Intermittent/ |
- | **Required Background**: | + | [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. |
- | **Recommended Background**: | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | __Description__ | + | **Supervisor**: Wolfgang Stuerzlinger |
- | 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 ====== | + | **Required Background**: |
- | **Supervisor**: | + | The Leap Motion, leapmotion.com, |
- | **Requirements**: | + | ====== 3D Drawing System |
- | __Description__ | + | **Supervisor**: |
- | To provide visual surveillance over a large environment, many surveillance cameras are typically deployed at widely dispersed locations. | + | **Required Background**: |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | 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 generate |
- | 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. | ||
- | Although the Manhattan world assumption provides powerful constraints, | + | ====== Tilt Target Selection on Touchscreen Phones ====== |
- | 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 4080 prerequisites, |
- | ---- | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | + | **Readings**: |
- | **Supervisor**: | + | ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== |
- | **Requirements**: Good facility with applied mathematics | + | **Supervisor**: James Elder |
- | __Description__ | + | **Required Background**: |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
- | 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 | + | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. |
- | + | ||
- | The density of permanent urban video surveillance camera installations | + | The goal of this project |
- | + | ||
- | This project | + | In particular, working |
- | + | ||
- | The student will work closely | + | |
- | + | ||
- | For more information on the laboratory: [[http:// | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology |
- | ====== Tandem repeat detection using spectral methods ====== | ||
- | **Supervisor**: | + | ====== Attentive Sensing for Sport Video Recording Markets ====== |
- | **Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems. | + | **Supervisor**: James Elder |
- | **Recommended | + | **Required |
- | __Description__ | + | |
- | DNA sequences | + | 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 | ||
+ | |||
+ | 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. Specific tasks include: | ||
+ | |||
+ | 1. | ||
+ | 2. | ||
+ | 3. | ||
+ | |||
- | 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:// | + | |
- | 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 | + | ====== Continuation |
+ | **Supervisor**: | ||
+ | **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. |
- | : | + | |
- | ---- | + | |
- | ====== Touch- | + | The software required is an application that allows researchers to define their hypothesized models visually |
- | **Supervisor**: | + | 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. |
- | **Required Background**: | + | More details {{:continuation_of_a_path_diagram_to_syntax_application.pdf|here}}. |
- | 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**: | ||
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | ||
- | __Description__ | + | ====== Enabling SaaS access |
- | This project involves extending a touch-based text entry method | + | |
+ | **Supervisor**: | ||
+ | **Required Background**: | ||
+ | 3402 -- Functional & Logic Programming, | ||
+ | 3101 -- Design and Analysis of Algorithms, | ||
+ | 4302 -- Compilers and Interpreters. | ||
- | ---- | + | **Description**: This project involves enriching and integrating a set of fairly complex scripts, which are components of an Artificial Intelligence (AI) planner, and exporting them to the public in a Software-as-a-Service (SaaS) fashion. |
- | : | + | |
- | ---- | + | |
- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
- | **Supervisor**: Amir Asif | + | 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. |
- | **Required Background**: General CSE408x prerequisites | + | Learning objectives: |
+ | | ||
+ | | ||
+ | | ||
- | **Recommended background**: | ||
- | Project Description: | + | ====== Predicting Angular Error in Rigid Registration ====== |
- | 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**: Burton Ma |
- | : | + | |
- | ---- | + | |
- | ====== Developing Fast Speech Recognition Engine using GPU ====== | + | |
- | **Supervisor**: Hui Jang | + | **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 | + | |
+ | **Supervisor**: | ||
- | __Description__ | + | **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. | ||
- | Recently, Graphics Processing Units (GPU' | ||
- | During the recent years, there is an increasing demand in the job market | + | ====== A privacy safeguard framework |
- | References | + | **Supervisor**: |
- | + | ||
- | [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