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--- projects [2013/01/02 21:58] – bil
+++ projects [2013/09/03 15:14] – pd
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-====== Currently offered Projects, Fall 2012 (updated September 5, 2012)  ======
+====== Proposed Projects  ======
-(Listed in order received.)
+Current proposed Projects, Fall 2013
+\\
 ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ======
@@ Line 18: / Line 19: @@
   - Implement algorithms for detecting hand-raises based upon this investigation
   - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology
+====== Attentive Sensing for Sport Video Recording Markets ======
+**Supervisor**: James Elder
+**Required Background**: Good programming skills; Good math skills; Knowledge of C and MATLAB programming languages
+The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market.  Specific application domains under investigation include skiing, indoor BMX parks, and horse tracks.
+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.   Specific tasks include:
+.     Ground-truth available datasets
+.     Evaluate current attentive algorithms on these datasets
+.     Modify these algorithms to improve performance on these datasets
+------------
-====== Continuation of a Path Diagram to Syntax Application ======
-**Supervisor**: Jeff Edmonds
+\\
+======Hunting for Bugs in Logging: applying JPF to log4j======
-**Required Background**: General CSE408x prerequisites
+**Supervisor:** Franck van Breugel
-**Recommended Background**: Java software development
+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.  In the past, Dickey et al. [1] have attempted
+to detect bugs in log4j by means of JPF with very limited succes.
-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.
+Recently, in collaboration with Shafiei (NASA) we have developed
+an extension of JPF called jpf-nhandler.  The aim of this project
+is to apply this extension to log4j.
-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.
+[1] David A. Dickey, B. Sinem Dorter, J. Michael German, Benjamin D. Madore, Mark W. Piper, Gabriel L. Zenarosa. "Evaluating Java PathFinder on Log4J."  2011.
-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:** General CSE408x prerequisites
+\\
+------------
+\\
+\\
+------------------
+\\
+Additional current possible  projects will be listed here by start of fall term.
+\\
+------------------
+\\
+\\
-More details {{:continuation_of_a_path_diagram_to_syntax_application.pdf|here}}.
+=====Previous Projects from Summer 2013=====
-====== YUsend Thermal Vacuum (TVAC) Test Manager ======
+======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks======
-**Supervisor**: Rob Allison (co-supervised with Hugh Chesser, Space Engineering)
+**Supervisor**: Amir Asif
-**Required Background**: General CSE408x prerequisites, familiarity with C++ and Windows software tools
+**Required Background: ** Computer Vision or Signal and Systems Course preferred; Matlab; Interest in Signal/Image Processing
-**Description** The YUsend (York University Space Engineering Nanosatellite Demonstration) Lab has procured a Windows XP-based industrial computer and temperature acquisition card (as well as other hardware) for performing TVAC testing of nanosatellites in the CSIL Lab (PSE 003). A “TVAC Test Manager” application written using LabView's G programming language will oversee the acquisition of temperatures (thermal test outputs) and control of IR lamps (thermal test inputs) during the rather long periods (4 or more days, 24 hours a day) of a TVAC test.
+**Short Description: **Over the past decade, large-scale camera networks have become increasingly popular in a wide range of applications, including: (i) Sports analysis; (ii) Security and surveillance; (iii) disaster response, and; (iv) Environmental modeling, where the objective is to follow the trajectory of a key target, for example, a star player in a soccer game or a suspect in a surveillance environment. In many applications, bandwidth constraints, security concerns, and difficulty in storing and analyzing large amounts of image data centrally at a single location necessitate the development of distributed camera network architectures. In this project, we investigate distributed scene analysis algorithms, where each camera estimates certain parameters of the target using a signal processing algorithm based upon its own set of observations. The local estimates are then shared with the neighboring cameras in an iterative, goosip-type fashion, and a final estimate is computed across the network using consensus algorithms. The selected student will develop Matlab code to apply distributed signal processing algorithms [1,2] that have been developed in the Signal Processing and Communications lab for target tracking and activity recognition in distributed camera networks.
-Specific tasks include: 1. Writing temperature acquisition card (OMEGA Engineering CIO-DAS-Temp) drivers for LabView - should be written in Visual C++ or similar and compiled into SubVI format. 2. Write LabView VI's (“Virtual Instrument”) to perform (a) Test set-up activities - checkout of sensor and lamps, assigning neumonics to temperature sensors, setting of alarm conditions for sensors and lamps (b) Acquire and monitor temperature data and control lamp voltage during test, raise operator alarms for temperature or IR lamp anomalous conditions as required © Store temperature and control data for subsequent analysis and reporting. 3. (Optional) Interface the Test Manager with an orbital simulation tool which would be used to compute IR lamp inputs based on a simulation of the nanosatellite's orbital position and attitude (eg - in the sun, lamps on, in eclipse lamps off). The simulation tool is a package called Satellite Toolkit (STK) which has an TCP/IP-based API.
+[1] A. Mohammadi and A. Asif, Distributed Particle Filter Implementation with Intermittent/Irregular Consensus Convergence, IEEE Transactions on Signal Processing, 2013. http://arxiv.org/abs/1112.2431.
+[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.
-====== Numerical Methods ======
+====== 3D Drawing System with Leap Motion finger tracker ======
-**Supervisor**: Mike McNamee
+**Supervisor**: Wolfgang Stuerzlinger
+**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.
+====== 3D Drawing System with 3Gear gesture tracker ======
+**Supervisor**: Wolfgang Stuerzlinger
+**Required Background**: 3D computer graphics, C/C++ coding
+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.
+====== Tilt Target Selection on Touchscreen Phones ======
+**Supervisor**: Scott MacKenzie
+**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.
+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.
+**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.
+====== Continuation of a Path Diagram to Syntax Application ======
+**Supervisor**: Jeff Edmonds
+**Required Background**: General CSE408x prerequisites
+**Recommended Background**: Java software development
+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.
+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.
+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}}.
-**Required Background**: Good grade in a Numerical Methods course and good knowledge
-of Fortran, C or similar language.
-**Description**: Write, debug and run several Fortran programs related to solving
-polynomial equations, with a view to comparing different known methods.
 ====== Enabling SaaS access to an experimental AI planner ======