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--- projects [2013/04/23 16:10] – mb
+++ projects [2013/09/03 22:51] – pd
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-====== Available Projects  ======
+====== Proposed Projects  ======
-Currently offered Projects, Summer 2013
-(some projects still subject to confirmation)
-====== 3D Drawing System with Leap Motion finger tracker ======
-**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.
+Current proposed Projects, Fall 2013
+\\
 ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ======
@@ Line 69: / Line 38: @@
 .     Modify these algorithms to improve performance on these datasets
+------------
+\\
+======Hunting for Bugs in Logging: applying JPF to log4j======
+**Supervisor:** Franck van Breugel
+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.
+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.
+[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.
+**Required Background:** General CSE408x prerequisites
+\\
+------------
+\\
+=====Hybrid 2D/3D User Interfaces for 3D Rotation=====
+**Supervisor:** Wolfgang Stuerzlinger
+**Required Background:** General 408X prerequisites, 3D Computer Graphics (3431) completed or equivalent, C/C++ coding experience or (if using Unity 4) Javascript C# coding experience
+This project implements and evaluates a new method for 3D Rotation where the user uses both a 2D and 3D user interface to complete the task. The fundamental idea is to use the 3D interface for large-scale manipulation, but the 2D interface for precise adjustments. The project will use a Leap Motion or similar technology for 3D tracking.
+\\
+------------
+\\
+=====Immersive Virtual Reality Kitchen Planner=====
+**Supervisor:** Wolfgang Stuerzlinger
+**Required Background:** General 408X prerequisites, 3D Computer Graphics (3431) completed or equivalent, 4431 desired, Javascript or C# coding experience
+This project implements a kitchen planner application for an immersive virtual reality system. The implementation will be based on Unity 4.
+\\
+------------
+\\
+=====3D Interaction in Immersive Virtual Reality=====
+**Supervisor:** Wolfgang Stuerzlinger
+**Required Background:** General 408X prerequisites, 3D Computer Graphics (3431) completed or equivalent, 4431 desired, Javascript or C# coding experience
+This project implements and tests various 3D Navigation and 3D Interaction methods in an immersive virtual reality system. The target is to enable the user to roam freely in a large environment while still being able to interact with the environment. The implementation will be based on Unity 4.
+\\
+------------
+\\
+------------------
+\\
+Additional current possible  projects will be listed here by start of fall term.
+\\
+------------------
+\\
+\\
+=====Past Proposed Projects from Summer 2013=====
+======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks======
+**Supervisor**: Amir Asif
+**Required Background: ** Computer Vision or Signal and Systems Course preferred; Matlab; Interest in Signal/Image Processing
+**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.
+[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.
+====== 3D Drawing System with Leap Motion finger tracker ======
+**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 ======