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-====Formerly Available projects====
+====== Projects offered in Fall, 2011 ======
-(These were offered in Summer 2011.
-Listed in alphabetical order of the supervisor's last name.)
+The following projects were offered in Fall, 2011
+====== Building an autonomous motorboat ======
+**Supervisor**: Michael Jenkin
+**Required Background**: General CSE408x prerequisites
+**Recommended Background**: Robotics
+__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.
+----
+:
 ----
-===Simulation for Forest Fire Detection===
+====== Athenians Data Project ======
-Supervisor: Rob Allison
+**Supervisor**: Nick Cercone
-Required Background: General CSE408x prerequisites
+**Required Background**: General CSE408x prerequisites
-Recommended Background: CSE3431 or CSE4471 or equivalent
+**Recommended Background**: Data Mining
-Description
+__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.
+----
+:
+----
-Detection of forest fires is a challenging activity that requires considerable training. The objective of this project is to implement a virtual reality simulation to incorporate key aspects of this task and then to perform an evaluation with a small user study.
+====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ======
+**Supervisor**:  James Elder
+**Requirements**:  Good facility with applied mathematics
+__Description__
+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.
+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.
+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.
+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.
+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.
+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]]
+----
+:
 ----
-===Study of self-motion perception in microgravity===
-Supervisor: Rob Allison
+====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ======
-Required Background: General CSE408x prerequisites
+**Supervisor**:  James Elder
-Recommended Background: CSE3431 or CSE4471 or equivalent
+**Requirements**:  Good facility with applied mathematics
-Description
+__Description__
-This is a computer graphics project to present visual motion stimuli to an observer. The software will experimentally control scene content, collect user responses and control the camera trajectory to simulate the desired self-motion profile.
+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]]
 ----
-===Stereoscopic cinema calculator===
+:
+----
+====== Tandem repeat detection using spectral methods ======
+**Supervisor**: Suprakash Datta
+**Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems.
+**Recommended Background**: Some background in Statistics is desirable but not essential.
+__Description__
+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.
-Supervisor: Rob Allison
+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).
-Required Background: General CSE408x prerequisites
+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.
-Recommended Background: CSE3431 or CSE4471 or equivalent
-Description
-Directors of three-dimensional movies sometimes use 'stereo calculators' to compute the simulated depth of objects in the film show to the viewer in order to maximize the stereoscopic effects and maintain comfortable viewing. However current calculators have limited ability to visualize the results of the calculations. This project will combine stereo calculations with visualization software to assist the director in artistic and technical decisions.
 ----
-===Computer pointing devices and the speed-accuracy tradeoff===
+:
+----
-Supervisor: Scott MacKenzie
+====== Touch- and Gesture-based Text Entry With Automatic Error Correction ======
-Required Background: General 4080 prerequisites, CSE3461, and (preferably) CSE4441
+**Supervisor**: Scott Mackenzie
-Recommended Background: Interest in user interfaces and human-computer interaction (HCI). Understanding of experiment design. Experience in doing user studies.
+**Required Background**:
+CSE3461 (or equivalent), CSE3311 (or equivalent), CSE4441 (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__
+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.
+----
+:
 ----
+====== Early Breast Cancer Detection based on MRI’s. ======
-===One key text entry===
+**Supervisor**: Amir Asif
-Supervisor: Scott MacKenzie
+**Required Background**: General CSE408x prerequisites
-Required Background: General 4080 prerequisites, CSE3461, and (preferably) CSE4441
+**Recommended background**: Signal processing, i.e. CSE3451
-Recommended Background: Interest in user interfaces and human-computer interaction (HCI). Understanding of experiment design. Experience in doing user studies.
+Project Description: This research will develop advanced computer-aided, signal
+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, 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.
 ----
+:
+----
+====== Developing Fast Speech Recognition Engine using GPU ======
-===The Algorithmics Animation Workshop===
+**Supervisor**: Hui Jang
-Supervisor: Andy Mirzaian
+**Required Background**:
+General prerequisites
-Required background: General prerequisites
-Recommended background: CSE 3101
+__Description__
-Description
+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].
-The URL for Algorithmics Animation Workshop (AAW) is http://www.cs.yorku.ca/~aaw. The main purpose of AAW is to be a pedagogical tool by providing animation of important algorithms and data structures in computer science, especially those studied in courses CSE 3101, 4101, 5101, 6114, 6111. This is an open ended project in the sense that more animations can be added to this site over time.
+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.
+----
+:
 ----
-===Selenium/Eiffel Web Test Driven Development===
+====== Solving Polynomials ======
-Supervisor: Jonathan Ostroff
+**Supervisor**: Mike McNamee
-Required background: General prerequisites, at least a B+ in CSE 3311
+**Required Background**:
+General prerequisites plus course in Numerical Methods, and knowledge of programming, preferably Fortran
-Recommended background: Knowledge of Javascript a plus
-Description
+__Description__
-The Selenium IDE is an integrated development environment for Selenium scripts. It is implemented as a Firefox extension, and allows you to record, edit, and debug tests of web applications. The Selenium IDE is a recording tool, or you may edit your scripts by hand. With autocomplete support and the ability to move commands around quickly, Selenium IDE is the nice environment for creating webtests no matter what style of tests you prefer.
+In this project you will compare several efficient methods for solving polynomials.
+----
+:
+----
+====== MF7114 Assembler ======
-Tests can be translated to Java (JUnit), C#, Python etc. It can be extended to any language that can make HTTP calls.
+**Supervisor**: Zbigniew Stachniak
-The goal of this project is (1) to translate Selenium tests into tests that can be run under Eiffel (e.g. via ESpec or AutoTest), and (2) to provide a complete Eiffel web application creation template (with embedded database such as sqlite) for creating and testing web applications.
+**Required Background**:
+Some knowledge of microprocessor architecture and assembly programming
-----
+__Description__
-===Automated Reasoning System for Quantified Propositional Logic===
+Every microprocessor is supported by a variety of software tools, such as assemblers, disassemblers, and debuggers to allow the development and testing of application programs destined for that microprocessor. The purpose of an assembler is to translate a program written in the target CPU's assembly language into that CPU's machine language. The objective of this project is to write an assembler for the MF7114 microprocessor and test it on a recently written MF7114 emulator.
-Supervisor: Zbigniew Stachniak
+Background Information: The MF7114 CPU was the first microprocessor designed and
+manufactured in Canada (by Microsystems International Ltd, or MIL) and one of the earliest microprocessors ever produced. The microprocessor was used, among other applications as the CPU of the CPS-1 microcomputer. Although none of the CPS/1 computers (nor MF7114 software) have survived, technical information about the microprocessor and the CPS-1 has been preserved. This makes the design and
+implementation of an assembler possible. More information on
-Required background: General prerequisites
+http://www.cse.yorku.ca/museum/collections/MIL/MIL.htm
-Recommended background: Passion for programming and experimentation; Some knowledge of propositional and predicate logic
+----
+:
+----
+====== MF7114 Debugger ======
-Description
+**Supervisor**: Zbigniew Stachniak
-Quantified Propositional Logics (QPL) plays an important role in a number of computer science disciplines from the theoretical computer science to knowledge representation and verification. There are also a number of open problems concerning this logic, and formulated more than 70 years ago, that can be finally solved (or at least approached) using automated reasoning techniques. The first step in such investigations has to be the design and implementation of a theorem prover, or automated reasoning system, for QPL. Such a system should, in principle, be able to determine whether or not a given formula of QPL is a theorem (or a tautology) in this logic.
+**Required Background**:
+Some knowledge of microprocessor architecture and assembly programming
-The theorem prover for QPL is to be designed, implemented, and fully tested.
+__Description__
-Background: Various variants of QPL have been formally formulated for the first time in the 1920s by a number of logicians and mathematicians. In modern computer science, QPL plays a significant role in theoretical computer science (proof complexity, satisfiability) as well as in verification and AI.
+Every microprocessor is supported by a variety of software tools, such as assemblers,disassemblers, and debuggers to allow the development and testing of application programs destined for that microprocessor. The purpose of an MF7114 debugger is to debug programs written in the assembly language of the MF7114 microprocessor. The objective of this project is to write an MF7114 debugger and test it on a recently written MF7114 emulator.
+Background Information: The MF7114 CPU was the first microprocessor designed and
+manufactured in Canada (by Microsystems International Ltd, or MIL) and one of the earliest microprocessors ever produced. The microprocessor was used, among other applications as the CPU of the CPS-1 microcomputer. Although none of the CPS/1 computers (nor MF7114 software) have survived, technical information about the microprocessor and the CPS-1 has been preserved. This makes the design and
+implementation of a debugger possible. More information on
+http://www.cse.yorku.ca/museum/collections/MIL/MIL.htm
+----
+:
 ----
-===NABU Network Emulator===
+======Web Crawlers Behaving Like Humans: Are We There Yet!? ======
-Supervisor: Zbigniew Stachniak
+**Supervisor**: Natalija Vlajic
-Required background: General prerequisites
+**Required Background**: General prerequisites
-Recommended background: Java (including 2D graphics); Some knowledge of PC hardware architecture; Some knowledge of (any) assembler language is an asset.
-Description
+__Description__
-Have you ever considered writing your own emulator of an interesting system? There has been a substantial activity in building software emulators of historically significant computers, game consoles, and, recently, smart communication devices. As a result, there is at least one emulator of almost every significant system. This activity contributes, in the first place, to the preservation and dissemination of significant hardware and software technologies. It also allows for cost-effective development of contemporary software and hardware. The project's objective is to design and implement an emulator of the NABU Network – one of the earliest “proto-Internet” networks. The emulator is to be implemented in Java.
-Background : The NABU Network was designed and implemented by a Canadian company NABU Manufacturing between 1981 and 1983. The underlying idea behind the network was to link home personal computers to cable television networks which would supply a continuous, high speed stream of computer programs and information (at the rate of 6.5 Mbits per second) to almost an unlimited number of users. Cable television was a uniquely ideal technology for NABU to deliver software and data to home computers because of its high bandwidth and networking capabilities. After the official launch on Ottawa Cablevision in October of 1983, the NABU Network was introduced by Ottawa's Skyline Cablevision in 1984 and a year later in Sowa, Japan, via a collaboration between NABU and ASCII Corp. NABU Network subscribers could rent or buy a NABU PC and dedicated network adaptor, and use an ordinary television set as a display monitor. Once connected to the network, a user could choose from various application programs and services in categories including entertainment, information and guides, education, and professional programs. Dedicated NABU magazines, newsletters, programming guides, and user groups provided subscribers with supplementary information and support. To learn more, visit here .
+Distributed Denial of Service (DDoS) attacks are recognized as one
+of the most serious threats to today's Internet due to the relative
+simplicity of their execution and their ability to severely degrade
+the quality at which Web-based services are offered to the end users.
+An especially challenging form of DDoS attacks are the so-called
+Application-Layer DDoS attacks. Namely:
+) In Application-Layer DDoS attacks, the attackers utilize a flood
+of legitimate-looking Layer-7 network sessions (i.e., sessions that
+are generally hard to detect and/or filter out by a firewall or an
+IDS system);
+) Increasingly, these sessions comprise HTML requests generated by a
+cleverly programmed crawler that executes a semi-random walk over the
+web site links, thereby attempting to appear as a legitimate human
+visitor.
+The goal of this project is to investigate the state of the art in
+malicious web crawler design. In particular, the project will look
+into the challenges of designing a smart-DDoS-crawler from the
+attacker point of view - one of these challenges being the estimation
+of web-page popularity assuming no a priori access to the web-logs
+of the victim web-site.
 ----
-===Robotic tangible user interface for large tabletops===
+:
+----
+====== GFI Sandbox  Analysis of Malware for DDoS ======
-Supervisor: Wolfgang Stuerzlinger
+**Supervisor**: Natalija Vlajic
-Required Background: General CSE4080 prerequisites
+**Required Background**: General prerequisites.
-Recommended Background: CSE3431 or equivalent
-Description
+__Description__
-Tangible user interfaces provide the user with object that they can touch and use as input devices. One example is the use of (tracked) toy houses to perform a city planning task on a large surface. This project implements a new form of tracking/identification scheme for tangible objects via LED arrays mounted on them. Furthermore, and using robotic components, the tangible objects will have the ability to move around autonomously, which enables important functionalities such as undo and replay.
+GFI Sandbox is a sophisticated industry-leading tool for quick and
+safe analysis of malware behaviour. The goals of this project are:
+) familiarize yourself with the operation of GFI Sandbox;
+) using readily available GFI Sandbox Feeds (i.e., ThreatTrack Feeds),
+build a database of malware designed specifically for execution of
+DDoS-attacks - the so-called botnet malware;
+) examine the behaviour of the collected malware 'upon execution';
+) propose and build an environment - comprising the standard freeware
+security tools - for longer term (beyond immediate execution) analysis
+of the collected malware.
+----
+:
 ----
-===Better Layout Mechanisms for User Interfaces Toolkits===
-Supervisor: Wolfgang Stuerzlinger
+Network analysis of EEG data: Understanding connections in the brain
-Required Background: General CSE4080 prerequisites
+====== Network analysis of EEG data: Understanding connections in the brain ======
-Description
+**Supervisor**: Andrew Eckford
-The layout mechanisms for many GUI toolkits are hard to understand and often difficult to use. This project investigates new, easy-to-understand layout mechanisms and evaluates an implementation of one of them in a comparative user study. Platform: any modern GUI toolkit.
+**Required Background**: CSE 3213 (Computer Networks), CSE 3451 (Signals and Systems), and MATH 2030 (Elementary Probability); or equivalents
+**Preferred**: At least a B in all of the above courses
+__Description__
+Electroencephalogram (EEG) data indicates electrical activity at particular locations in the brain. Using EEG data from multiple sensors, it is possible to find correlations among the measurements, and identify “networks” of activity in the brain. These networks help researchers to determine exactly how the brain processes various stimuli.
+The tools that are used to analyze communication networks can also be used to analyze brain networks. In this interdisciplinary project, you will work with a collection of EEG data to identify correlated measurements, and determine network-type relationships based on those measurements. To do so, you will apply skills you learned in courses on Signals and Systems, Computer Networks, and Probability. Your work may lead to a research publication.
+----
+:
 ----
-===Predicting Visibility Obstructions for a 6DOF Tracker===
-Supervisor: Wolfgang Stuerzlinger
+====== An Open Source Structural Equation Modeling Path Diagram to Syntax Application ======
-Required Background: General CSE4080 prerequisites
+**Supervisor**: Jeff Edmonds
+**Required Background**: JAVA
+**Recommended Background**: GUI Development
+__Description__
+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).
+This a cross-disciplinary project with the Quantitative Methods division of the Department of Psychology. As such, the student will be working with individuals with expertise in the relevant statistics but are not themselves software developers, which is reflective of real-world situations.  The student is not expected to have any familiarity with statistics or the software packages mentioned above, this background will be provided.
-Description
-Previous work of the supervisor generated a novel and highly accurate Virtual Reality tracking system based on (eye-safe) laser diodes. The speed and accuracy of this system matches or exceeds the specification of all competing commercial systems. However, this system works only in 5 or 6-sided immersive display environment. Recent work has adapted the system to track successfully with as little as one large display wall and has also characterized the accuracy more comprehensively. The next step is to generalize the system to work in normal rooms, which may have lamps, shelves, etc. Here, visibility obstructions play a significant role and predicting these obstructions can be used to increase the tracking accuracy. This project will simulate a new method for visibility obstruction prediction to detect how big an increase in accuracy can be expected.
 ----
-===Extensions to a 3D Modeling System===
+:
+----
-Supervisor: Wolfgang Stuerzlinger
+====== YUsend Thermal Vacuum (TVAC) Test Manager  ======
-Required Background: General CSE4080 prerequisites
+**Supervisor**: Rob Allison (co-supervised with Hugh Chesser, Space Engineering)
-Description
+**Required Background**: General CSE408x prerequisites, familiarity with C++ and Windows software tools
-K-3D is a successful, open-source, 3D modeling system, that can even deal with million-polygon models in real-time. This project aims to improve the user interface for K-3D by adding several novel 3D manipulation techniques. While all the mentioned operations already exist in in K-3D, the user interfaces are typically fairly inefficient and/or require significant learning. Depending on the outcome, the results of each project may even be merged back into the K-3D distribution. Each of the following two items can be considered a separate project:
-Integration of an existing implementation of a 3D sliding technique, which greatly facilitates 3D object movement.
+__Description__
-The ability to draw new “lines”, rectangles, and other 2D constructs in a simple manner onto surfaces. This ability greatly simplifies many interesting operations, such as the creation of extrusions, holes, etc.
+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.
+Specific tasks include:
+.  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.
+.  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 (c) Store temperature and control data for subsequent analysis and reporting.
+. (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.
+----
+:
+----