projects

Proposed Projects for Winter 2014


Attentive Sensing for Better Two-Way Communication in Remote Learning Environments

Supervisor: James Elder

Required Background: General CSE408x prerequisites, good programming skills, good math skills, knowledge of C and MATLAB programming languages

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 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.

In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will:

  1. Study the problem of detecting hand-raises in the preattentive sensor stream
  2. Implement algorithms for detecting hand-raises based upon this investigation
  3. 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:

1. Ground-truth available datasets 2. Evaluate current attentive algorithms on these datasets 3. Modify these algorithms to improve performance on these datasets

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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.



Leveraging binary instrumentation to support monitoring and debugging of large scale software system in the field

Supervisor:Zhen Ming (Jack) Jiang (zmjiang at cse dot yorku dot ca)

Required Background: Good programming skills (especially in Java); Good analytical and communication skills; Interested in large complex software systems and automated software analysis.

Short Description: Many large scale software systems ranging from e-commerce websites (e.g., eBay) to telecommunication infrastructures (e.g., AT&T) are required to be available and ready to service by millions of users all the time. It is essential to monitor the behavior of these systems in the field and troubleshoot problems whenever they arise. On one hand, many existing monitoring tools (e.g., PerfMon and pidstat) mainly focus on the high level resource usage data (e.g., CPU and memory). On other hand, although profilers (e.g., JProfiler and DTrace) can provide detailed information on the internal system behavior, it is not feasible to run them with the field systems due to their high overhead. Binary instrumentation is a program analysis technique, which can add additional monitoring points without modifying or restarting the system. This project aims to explore the feasibility of leveraging binary instrumentation to automatically monitor and debug the behavior of these field systems. The student(s) will first evaluate the pros and cons on various binary instrumentation libraries (e.g., ASM and PIN). Then he/she will implement a monitoring/debugging framework using the selected instrumentation library.



Mining Software Repositories Data

Supervisor: Zhen Ming (Jack) Jiang (zmjiang at cse dot yorku dot ca)

Required Background: Good programming skills in Java; Good analytical and communication skills; Knowledge in AI and statistics; Interested in large scale software analysis

Short Description: Software engineering data (e.g., source code repositories and bug databases) contains a wealth of information about a project's status and history. The research on Mining Software Repositories (MSR) aims to transform the data from static record-keeping repositories into knowledge, which can guide the software development process. For example, one can derive correct API usage patterns and flag anomalous (and potentially buggy) API usages by mining the source code across many projects in GitHub and Google Code. In this project, the student(s) will research and develop an efficient infrastructure, where MSR researchers and practitioners can share and analyze such data.




Reliably tracking horizontal eye movements

Supervisor: Wolfgang Stuerzlinger

Required Background: General 408X prerequisites, C++/C# coding experience. Ideally CSE3451, CSE4422 or CSE4452.

Description: The Intel Perceptual Computing SDK includes support for head tracking and facial analysis. The project will use the Creative Interactive Gesture Camera, a depth camera designed to work with the SDK. Based on these technologies, the project implements an eye tracking system that detects the horizontal eye position and consequently, if the user is looking at the left, center, or right portion of the screen. Based on this, the project will implement a simple media browsing browsing system, e.g., for TV channels, music, or videos.




Model-based Design and Development of Embedded Systems with Code Generation Tools

Supervisor: Jia Xu

Required Background: At least a B+ in Embedded Systems (CSE3215), MATLAB, C programming skills, solid experience in using a microcontroller such as Arduino.

Project Description:

Model-based design with code generation tools can be used for simulation, rapid prototyping, and hardware-in-the-loop testing of embedded systems. This project explores model-based design and development of embedded systems on various hardware platforms with code generation tools. The selected student will develop and test embedded systems using model-based design and code generation tools such as MathWorks MATLAB /Simulink Coder.




C2000 Concerto Microcontrollers

Supervisor: Jia Xu

Required Background: At least a B+ in Embedded Systems (CSE3215), strong C programming skills, solid knowledge of microcontrollers

Description: The C2000 Concerto family of microcontrollers combines two cores on a single-chip with on-chip low latency interprocessor communication between the two cores: a C28x 32-bit control core for real-time control with faster/more loops and small sampling window; and an ARM 32-bit Cortex-M3 host core for communications and general purpose. The selected student will evaluate the capabilities of the C2000 Concerto family of microcontrollers through testing and investigating open source software for real-time control applications that runs on C2000 Concerto Microcontrollers.




Real-Time Bidding Platform

Supervisor: Jia Xu

Required Background: At least a B+ in Operating System Fundamentals (CSE3221), strong Ubuntu/Linux, C++ programming, GCC, TCP/IP skills

Description: Real-time bidding (RTB) is a new method of selling and buying online display advertising in real-time one ad impression at a time. Once a bid request has been sent out, all bids must be received within a strict deadline - generally under 100 milliseconds, including network latency. This project explores RTBkit, an open source SDK allowing developers to create customized real time ad bidding systems (for Media Buyers/Bidders).




Circuit and Board Design for a Pulsed Ground Penetrating Radar

Supervisor:Sebastian Magierowski

Description: The project requires the construction of components for a ground penetrating radar. The students would have to design microwave boards for the high-frequency components of this unit, on both the transmitter and the receiver. On the transmitter side the board would take a 5-MHz input clock, run it through a series of off-the-shelf amplifiers and then through a shaping circuit that would convert the input into an outgoing series of pulses (still at 5-MHz repetition rate) less than 400-ps in duration each. The bandwidth of the signal is roughly 2-8 GHz and hence requires very careful board layout. The receiver would be a time-shifted sampler, used to sample the returning pulses in progressive periods. This radar circuit is ultimately intended to be positioned on a rover doing ground analysis.

Required Background A background in undergraduate-level electronics is very important. Experience with board level implementations and knowledge of microstrip lines would be helpful, otherwise the basics would have to be picked up during the project.




More project proposals may be added here in the first week of the winter term.




projects.txt · Last modified: 2013/12/13 04:10 by wildes