projects
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projects [2011/09/06 00:06] – dymond | projects [2012/08/23 02:55] – jonathan | ||
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- | ====== Currently offered Projects, Fall 2011 (updated September | + | ====== Currently offered Projects, Fall 2011 (updated September |
(Listed in order received.) | (Listed in order received.) | ||
====== Building an autonomous motorboat ====== | ====== Building an autonomous motorboat ====== | ||
- | **Supervisor**: | + | **Supervisor**: |
**Required Background**: | **Required Background**: | ||
- | **Recommended Background**: | + | **Recommended Background**: |
- | __Description__ | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular |
- | 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 | + | |
+ | 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}}. |
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- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
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- | **Recommended Background**: | + | |
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- | __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 " | + | |
- | words has been done in the past using expert knowledge. Those experts have establish | + | |
- | certain rules/ | + | |
- | when talking in IT terminology. Furthermore, | + | |
- | the database | + | |
- | another opportunity for research projects. | + | |
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- | ====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ====== | + | |
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- | **Supervisor**: | + | |
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- | **Requirements**: | + | |
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- | __Description__ | + | |
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- | To provide visual surveillance over a large environment, | + | |
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- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | |
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- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | + | |
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- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | |
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- | Although the Manhattan world assumption provides powerful constraints, | + | |
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- | 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. | + | |
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- | For more information on the laboratory: [[http:// | + | |
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- | ====== Estimating Pedestrian and Vehicle Flows from Surveillance Video ====== | + | |
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- | **Supervisor**: | + | |
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- | **Requirements**: | + | |
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- | __Description__ | + | |
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- | 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. | + | |
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- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. | + | |
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- | 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. | + | |
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- | 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. | + | |
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- | For more information on the laboratory: [[http:// | + | |
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- | ====== Tandem repeat detection using spectral methods ====== | + | |
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- | **Supervisor**: | + | |
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- | **Required Background**: | + | |
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- | **Recommended Background**: | + | |
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- | __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. | + | |
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- | 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:// | + | |
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- | 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. | + | |
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- | ====== Touch- and Gesture-based Text Entry With Automatic Error Correction ====== | + | |
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- | **Supervisor**: | + | |
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- | **Required Background**: | + | |
- | CSE3461 (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. | + | |
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- | **Recommended Background**: | + | |
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | + | |
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- | __Description__ | + | |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
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- | ====== Early Breast Cancer Detection based on MRI’s. ====== | + | |
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- | **Supervisor**: | + | |
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- | **Required Background**: | + | |
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- | **Recommended background**: | + | |
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- | Project Description: | + | |
- | 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. | + | |
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- | ====== Developing Fast Speech Recognition Engine using GPU ====== | + | |
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- | **Supervisor**: | + | |
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- | **Required Background**: | + | |
- | CSE3461 (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. | + | |
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- | __Description__ | + | |
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- | Recently, Graphics Processing Units (GPU' | + | |
- | During the recent years, there is an increasing demand | + | **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 |
- | References | + | 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' |
- | [1] Kisun You, Jike Chong, Youngmin Yi, Gonina, E., Hughes, C.J., Yen-Kuang Chen, Wonyong Sung, Keutzer, K., " | ||
- | [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. | ||
projects.txt · Last modified: 2016/01/13 20:05 by stevenc