projects
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
projects [2011/09/03 21:14] – dymond | projects [2013/09/03 15:14] – pd | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | ====== | + | ====== |
- | (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 |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | Additional current possible | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ | ||
- | **Requirements**: | + | =====Previous Projects from Summer 2013===== |
- | __Description__ | + | ======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks====== |
- | To provide visual surveillance over a large environment, | + | **Supervisor**: |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | **Required Background: ** Computer Vision or Signal |
- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | + | **Short Description: |
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | ||
- | Although the Manhattan world assumption provides powerful constraints, | ||
- | The student will work closely with graduate students | + | [1] A. Mohammadi |
- | For more information | + | [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. |
- | ---- | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | + | **Supervisor**: |
- | **Supervisor**: James Elder | + | **Required Background**: 3D computer graphics, C/C++ coding |
- | **Requirements**: | + | The Leap Motion, leapmotion.com, |
- | __Description__ | + | ====== 3D Drawing System with 3Gear gesture tracker ====== |
- | 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. | + | **Supervisor**: |
- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. | + | **Required Background**: |
- | This project will explore the use of computer | + | The 3Gear system, threegear.com, |
- | 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:// | ||
- | |||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | **Recommended Background**: | + | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. |
- | __Description__ | + | **Readings**: |
- | 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 | + | |
- | 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: |
+ | * 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. | ||
+ | |||
+ | |||
+ | ====== 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. | ||
+ | |||
+ | ====== Calibration of a Tracked Pointer ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **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**: Uyen Trang Nguyen | ||
+ | |||
- | **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