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--- projects [2011/09/06 00:12] – dymond
+++ projects [2013/04/19 20:28] – mb
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-====== Currently offered Projects, Fall 2011 (updated September 5, 2011)  ======
+====== Available Projects  ======
-(Listed in order received.)
-====== Building an autonomous motorboat ======
+Currently offered Projects, Summer 2013
-**Supervisor**: Michael Jenkin
+(some projects still subject to confirmation)
-**Required Background**: General CSE408x prerequisites
-**Recommended Background**: Robotics
+====== 3D Drawing System with Leap Motion finger tracker ======
-__Description__
+**Supervisor**: Wolfgang Stuerzlinger
-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**: 3D computer graphics, C/C++ coding
+The Leap Motion, leapmotion.com, is a new device that lets users control a computer with their fingers. This project creates a new 3D drawing system that enables users to quickly generate 3D solids.
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+====== 3D Drawing System with 3Gear gesture tracker ======
-:
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-====== Athenians Data Project ======
+**Supervisor**: Wolfgang Stuerzlinger
-**Supervisor**: Nick Cercone
+**Required Background**: 3D computer graphics, C/C++ coding
-**Required Background**: General CSE408x prerequisites
+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 and modify 3D solids.
-**Recommended Background**: Data Mining
-__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 "broken" words on the existing inscriptions. Filling text for the broken
-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, any hypotheses on word completion enters
-the database with some likelihood. Associating probabilities with hypotheses introduces
-another opportunity for research projects.
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-:
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-====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ======
+====== Tilt Target Selection on Touchscreen Phones ======
-**Supervisor**:  James Elder
+**Supervisor**: Scott MacKenzie
-**Requirements**:  Good facility with applied mathematics
+**Required Background**: General 4080 prerequisites, CSE3461, and (preferably) CSE4441. Interest in user interfaces and human-computer interaction (HCI).  Students can use their own Android phone for the project or one supplied by the course supervisor.
-__Description__
+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.  Gaming is another common use for tilting actions.  However, tilt may also be used for target selection, as a replacement for touch.  This research project will evaluate tilt as an input primitive for target selection on touchscreen mobile devices.
-To provide visual surveillance over a large environment, many surveillance cameras are typically deployed at widely dispersed locations.  Making sense of activities within the monitored space requires security personnel to map multiple events observed on two-dimensional security monitors to the three-dimensional scene under surveillance.  The cognitive load entailed rises quickly as the number of cameras, complexity of the scene and amount of traffic increases.
+**Readings**: MacKenzie, I. S., & Teather, R. J. (2012). FittsTilt: The application of Fitts’ law to tilt-based interaction. Proceedings of the Seventh Nordic Conference on Human-Computer Interaction – NordiCHI 2012, pp. 568-577. New York: ACM.
-This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates.  Rendering the data directly in three dimensions can potentially lighten the cognitive load of security personnel and make human activities more immediately interpretable.
+====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ======
-Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene.  Such a model could be obtained by survey (e.g., using LIDAR), but the cost and time required for each site would severely limit deployment.  Wide-baseline uncalibrated stereo methods are developing and have potential utility, but require careful sensor placement, and the difficulty of the correspondence problem limits reliability.
+**Supervisor**: James Elder
-This project will investigate a monocular method for inferring three-dimensional context for video surveillance.  The method will make use of the fact that most urban scenes obey the so-called “Manhattan-world” assumption, viz., a large proportion of the major surfaces in the scene are rectangles aligned with a three-dimensional Cartesian grid (Coughlan & Yuille, 2003).  This regularity provides strong linear perspective cues that can potentially be used to automatically infer three-dimensional models of the major surfaces in the scene (up to a scale factor).  These models can then be used to construct a virtual environment in which to render models of human activities in the scene.
+**Required Background**: General CSE408x prerequisites, good programming skills,
+good math skills, knowledge of C and MATLAB programming languages
-Although the Manhattan world assumption provides powerful constraints, there are many technical challenges that must be overcome before a working prototype can be demonstrated.  The prototype requires six stages of processing:    1)The major lines in each video frame are detected.  2)  These lines are grouped into quadrilaterals projecting from the major surface rectangles of the scene.  3)  The geometry of linear perspective and the Manhattan world constraint are exploited to estimate the three-dimensional attitude of the rectangles from which these quadrilaterals project.  4)  Trihedral junctions are used to infer three-dimensional surface contact and ordinal depth relationships between these surfaces.  5)  The estimated surfaces are rendered in three-dimensions.  6)  Human activities are tracked and rendered within this virtual three-dimensional world.
+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 student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project.  The student will develop skills in using MATLAB, a very useful mathematical programming environment, and develop an understanding of basic topics in image processing and vision.
+The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem.  This technology is able to monitor a large environment such as a classroom and direct a high-resolution ‘attentive’ sensor to events of interest.
-For more information on the laboratory: [[http://www.elderlab.yorku.ca]]
+In particular, working with a senior graduate student or postdoctoral fellow, the  successful applicant will:
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+  - Study the problem of detecting hand-raises in the preattentive sensor stream
-:
+  - Implement algorithms for detecting hand-raises based upon this investigation
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+  - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology
-====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ======
-**Supervisor**:  James Elder
-**Requirements**:  Good facility with applied mathematics
-__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.  Acquiring these data can require the costly deployment of specialized equipment and people, and this effort must be renewed at regular intervals for the data to be relevant.
-The density of permanent urban video surveillance camera installations has increased dramatically over the last several years.  These systems provide a potential source of low-cost data from which flows can be estimated for planning purposes.
-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.  The student will develop skills in using MATLAB, a very useful mathematical programming environment, and develop an understanding of basic topics in image processing and vision.
-For more information on the laboratory: [[http://www.elderlab.yorku.ca]]
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-:
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-====== Tandem repeat detection using spectral methods ======
+====== Continuation of a Path Diagram to Syntax Application ======
-**Supervisor**: Suprakash Datta
+**Supervisor**: Jeff Edmonds
-**Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems.
+**Required Background**: General CSE408x prerequisites
-**Recommended Background**: Some background in Statistics is desirable but not essential.
+**Recommended Background**: Java software development
-__Description__
+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.
-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 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://bioinfo.lifl.fr/mreps/), SRF (http://www.imtech.res.in/raghava/srf/) and TRF (http://tandem.bu.edu/trf/trf.html).
+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.
-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 of the modifications. Throughout the course, the student is required to maintain a course Web site to report any progress and details about the project.
+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 {{:continuation_of_a_path_diagram_to_syntax_application.pdf|here}}.
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+====== Numerical Methods ======
-:
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-====== Touch- and Gesture-based Text Entry With Automatic Error Correction ======
+**Supervisor**: Mike McNamee
-**Supervisor**: Scott Mackenzie
+**Required Background**: Good grade in a Numerical Methods course and good knowledge
+of Fortran, C or similar language.
-**Required Background**:
+**Description**: Write, debug and run several Fortran programs related to solving
-CSE3461 (or equivalent), CSE3311 (or equivalent), CSE4441 (or equivalent)
+polynomial equations, with a view to comparing different known methods.
-A student wishing to do this project must be well versed in Java, Eclipse, and developing java code for the Android operating system.
+====== Enabling SaaS access to an experimental AI planner ======
-**Recommended Background**:
+**Supervisor**: Sotirios Liaskos (liaskos at yorku dot ca)
-Possession of an Android touch-based phone or tablet would be an asset, but is not essential.
-__Description__
+**Required Background**: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms and programming. Essential: 2031 -- Software Tools. Desired:
-This project involves extending a touch-based text entry method to include automatic error correction.  The method, as is, uses Graffiti strokes entered via a finger on a touch-based Android tablet.  The stroke recognizer works fine, but it is not perfect.  Some strokes are mis-recognized while others are un-recognized.  The fault is sometimes attributable to the recognizer, but, often, the fault is simply that the user's input was sloppy.  The work involves developing, integrating, and testing software.  The core software is already written, but automatic error correction is lacking. The primary task of the added software is to receive a sequence of characters representing a word and matching the sequence with words in a dictionary.  If a match is found, all is well (presumably).  If a match is not found, the search is extended to find a set of candidate words that are "close" to the inputted sequence.  "Close", here, involves using a minimum string distance algorithm (provided).  The user interface must be modified to present the user with alternative words in the event an error occurred.  The user selects the desired word by tapping on a word in the list.  The project will involve testing the new input method in a small user study and writing up a report describing the work and presenting the results of the user study.
+-- Functional & Logic Programming,
+-- Design and Analysis of Algorithms,
+-- 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.
+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.
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+Learning objectives:
-:
+  * Understand the technologies and process involved in turning native code into a web-service ("servicizing").
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+  * Study a state-of-the-art AI planner and understand its workings.
-====== Early Breast Cancer Detection based on MRI’s. ======
+  * Exercise scripting skills.
-**Supervisor**: Amir Asif
-**Required Background**: General CSE408x prerequisites
+====== Predicting Angular Error in Rigid Registration ======
-**Recommended background**: Signal processing, i.e. CSE3451
+**Supervisor**: Burton Ma
-Project Description: This research will develop advanced computer-aided, signal
+**Description**: Registration is a fundamental step in image-based surgical
-processing techniques for early detection of breast cancer using the available
+navigation. Several (seemingly) different approaches for predicting
-modalities. In particular, we propose to develop time reversal beamforming imager,
+distance errors in registration are known, but for some surgical
-based on our earlier work in time reversal signal processing, for detecting early stage
+procedures, the angular error in registration is more important.
-breast cancer tumours from MRI data.
+This project will validate an approach for predicting angular
-Our preliminary work has illustrated the type of
+error in registration; the student will use a combination of
-results that are possible for breast cancer detection by applying time reversal signal
+simulated and actual registration data for testing purposes.
-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.
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+====== Calibration of a Tracked Pointer ======
-:
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-====== Developing Fast Speech Recognition Engine using GPU ======
-**Supervisor**: Hui Jang
+**Supervisor**: Burton Ma
-**Required Background**:
+**Description**: Tracked pointers are the most common tools used in surgical
-General prerequisites
+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, the
+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.
-__Description__
+====== A privacy safeguard framework for sharing photos on Facebook ======
-Recently, Graphics Processing Units (GPU's) have been widely used as an extremely fast computing vehicle for a variety of real-world applications. Many software programs have been developed for GPU's to take advantage of its multi-core parallel computing architecture (see gpgpu.org). In the past few years, we have developed a state-of-the-art speech recognition engine using anti-C at York and it runs very well in a normal CPU-based platform. In this project, you are required to port this engine (the C source code is available) based on the standard CUDA or OpenCL library to make it run in GPU's. It has been reported that this may lead to a speedup of at least 10 times faster in many speech recognition tasks [1][2].
+**Supervisor**: Uyen Trang Nguyen
-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., "Parallel Scalibility in Speech Recognition: inference engines in large vocabulary continuous speech recognition," IEEE Signal Processing Magazine, pp.124-135, No. 6, Vol 26, Nov 2009.
-[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**: Mike McNamee
-**Required Background**:
-General prerequisites plus course in Numerical Methods, and knowledge of programming, preferably Fortran
+**Description**:
+One of the major privacy concerns in Online Social Networks is photo sharing.  A user may post his/her friends’ photos without their consent.  The friends have no control over the user’s Facebook activities, namely photo sharing.  In this project, we design and implement a third-party Facebook application that allows people to protect their identities in photos uploaded by another user without their consent.
-__Description__
+**Required prerequisite background**:  Proficiency in programming, especially in Java and Web application programming.
-In this project you will compare several efficient methods for solving polynomials.
+**Desired prerequisite**: Knowledge of image processing, Facebook API, JavaScript Object Notation (JSON)
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