projects
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projects [2011/09/06 00:06] – dymond | projects [2015/08/11 21:01] – jarek | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | \\ |
- | ====== Building an autonomous motorboat ====== | + | =====Data visualization in Skydive===== |
- | **Supervisor**: Michael Jenkin | + | **Supervisor: Jarek Gryz** |
- | **Required Background**: General CSE408x prerequisites | + | Skydive is a prototype system designed for database visualization using a concept of the so called |
+ | data pyramid. The system is composed of three modules (DB - Database Module, D2I - | ||
+ | Data-to-Image module, and VC - Visualizaton Client). Each is designed to use a different type | ||
+ | of computer memory. The DB module uses disk to store and manage the raw data, and materialized | ||
+ | data pyramids. The D2I module works with a small subset of the aggregated dataset, | ||
+ | and stores data in main memory (RAM). The VC module uses the graphic card’s capabilities to | ||
+ | perform more advanced operations – such as zooming, scaling, panning, and rotation – over the | ||
+ | graphical representation of the data. | ||
+ | Currently the system support three presentation models implemented within the Visualization | ||
+ | Component, namely: | ||
- | **Recommended Background**: | + | • a 2D heat-map; |
- | __Description__ | + | • a 2.5 D heat-map by 3D barchart; |
- | 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 | + | |
+ | • a 2.5 D terrain (by mesh and UV-mapping). | ||
+ | The goal of the project is to implement two additional ways of data visualization as well as | ||
+ | extend some of existing ones, that is: | ||
- | ---- | + | 1. Implement and test functions for data pyramid-based visualization of time series. |
- | : | + | |
- | ---- | + | |
- | ====== Athenians Data Project ====== | + | 2. Implement functions for visualization based on cross-product of data pyramids. |
- | **Supervisor**: | + | 3. Add support for specular and normal maps for 2.5 D terrain presentation model. |
- | **Required Background**: General CSE408x prerequisites | + | Required Background: |
- | **Recommended Background**: | ||
- | __Description__ | + | \\ |
- | The Athenians Project is a multi-year, ongoing project | + | =====Genome-wide identification |
- | 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 with some likelihood. Associating probabilities with hypotheses introduces | + | |
- | another opportunity for research projects. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Three-Dimensional Context from Linear Perspective for Video Surveillance Systems ====== | ||
- | **Supervisor**: James Elder | + | **Supervisor: Katalin Hudak** |
- | **Requirements**: | ||
- | __Description__ | + | The Hudak Lab in the Biology Department has an opening for a fourth-year Honours student to assist with a bioinformatics project. We study the pokeweed plant, Phytolacca americana, which displays broad-spectrum virus resistance. To evaluate pokeweed gene expression, we recently sequenced the plant’s mRNA and small RNA transcriptomes under jasmonic acid (JA) treatment. JA is a plant hormone that mediates defence against pathogens and insect herbivores. We are interested in learning how pokeweed gene expression is regulated by miRNAs during biotic stress. |
- | To provide visual surveillance over a large environment, | + | Working with the support |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | 1) Prediction of micro RNA (miRNA) targets on the basis of complementary sequence matches |
- | Mapping surveillance video to three-dimensional coordinates requires construction | + | 2) Correlation |
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | 3) Conducting pathway analysis |
- | Although the Manhattan world assumption provides powerful constraints, | + | 4) Construction |
+ | This work will contribute | ||
- | 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. | + | Requirements: |
- | For more information on the laboratory: [[http:// | + | 1) Pre-requisites as per EECS Calendar |
- | ---- | + | 2) Facility with script-writing/ |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian | + | 3) Preference for students with knowledge of statistics |
- | **Supervisor**: | + | 4) Able to begin in September 2015 |
- | **Requirements**: Good facility with applied mathematics | + | Learning outcomes: |
- | __Description__ | + | 1) Manipulate and analyze quantitative biological data |
- | 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. | + | 2) Develop |
- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. | + | 3) Manage |
- | 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. | + | No knowledge |
- | 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, | + | For more information, please see: |
+ | Hudak Lab website- http:// | ||
- | For more information on the laboratory: [[http://www.elderlab.yorku.ca]] | + | RNA sequencing- |
+ | |||
+ | miRNAs- http:// | ||
+ | |||
+ | \\ | ||
+ | ===Dynamic Interface Detection and Control Project=== | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | |||
+ | Contrary to most industries, fine chemical manufacturing is dominated by batch production methods. Increasing economic, environmental and safety pressures are motivating a turn towards continuous synthesis. Rather than making products in one big flask, continuous synthesis involves performing chemical reactions by flowing reagents through a tube. Working in this way provides more control over the reaction parameters leading to increases in product quality, and process efficiency and safety. The flow chemistry industry for fine chemical production is a relatively new but burgeoning field with a projected market capacity of billions of dollars by 2018. | ||
+ | |||
+ | Extraction of the reaction mixture for purification and/or further processing is an important step in chemical manufacturing. This is a relatively straightforward operation in batch production, but offers several challenges for flowing processes. In order to facilitate continuous liquid extraction we require a sophisticated control system. This project involves designing, constructing and evaluating a pertinent practical problem in the field. | ||
+ | |||
+ | A key step in the process takes place in a clear tube that is mounted vertically. The tube contains two fluids with a boundary between them. During the process material flows into and out of the tube from the top and the bottom. Chemical reactions take place within this tube and It is essential that the position of the boundary be monitored as its position in the tube is used to control the flow of materials into the tube. | ||
+ | |||
+ | One way of solving this problem is to float a marker at the boundary between the two liquids and to monitor this boundary using a video camera. Although this approach solves the problem, it requires the introduction of a specific float within the tube. Can we build a system that monitors the boundary without resorting to the use of an artificial float? | ||
+ | |||
+ | Specific goals of the project include: | ||
+ | |||
+ | - Develop a computer vision system that can detect and monitor the interface between two miscible fluids of different density. | ||
+ | |||
+ | - Evaluate the performance of the system over a range of different (and typical) fluids | ||
+ | |||
+ | - Explore the use of different illuminant/ | ||
+ | |||
+ | The successful candidate(s) will have the experience of working with a diverse group of scientists and engineers toward the design and implementation of an automated liquid extraction device with applications across many industries. Upon successful prototyping, | ||
+ | |||
+ | For further information please contact, | ||
+ | |||
+ | Michael Jenkin (jenkin@cse.yorku.ca) or Michal Organ (organ@yorku.ca) | ||
+ | |||
+ | \\ | ||
+ | ====== DDoS Attack using Google-bots ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **Recommended Background**: | ||
+ | |||
+ | Not long ago, botnets - networks of compromised computers - were seen as | ||
+ | the most effective (if not the only) means of conducting Distributed Denial | ||
+ | of Service (DDoS) attacks. However, with the growing popularity and prevalence | ||
+ | of application-layer over other types of DDoS attacks, the DDoS execution | ||
+ | landscape is becoming increasingly more diverse. An especially interesting | ||
+ | new trend is the execution of application-layer DDoS attacks by means of | ||
+ | skillfully manipulated Web-crawlers, | ||
+ | The goal of this project is to design, implement and test a real-world | ||
+ | framework consisting of the following: a) the attacker' | ||
+ | domain specially designed to attract Google-bots and then manipulate them | ||
+ | into generating attack traffic towards the target/ | ||
+ | victim' | ||
+ | component, the project will also look into the statistical/ | ||
+ | estimation of the framework' | ||
+ | to an actual (real-world) target/ | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | \\ | ||
+ | ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **Required Background**: | ||
+ | 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. | ||
- | ---- | + | The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. |
- | : | + | |
- | ---- | + | In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will: |
+ | |||
+ | | ||
+ | | ||
+ | - 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**: | ||
+ | |||
+ | |||
+ | The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. | ||
+ | |||
+ | 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. | ||
+ | |||
+ | 1. | ||
+ | 2. | ||
+ | 3. | ||
+ | |||
+ | ------------ | ||
+ | |||
+ | |||
+ | \\ | ||
+ | ====== Hunting for Bugs in Logging: applying JPF to log4j ====== | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | 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. | ||
+ | to detect bugs in log4j by means of JPF with very limited succes. | ||
- | ====== Tandem repeat detection using spectral methods ====== | + | Recently, in collaboration with Shafiei (NASA) we have developed |
+ | an extension of JPF called jpf-nhandler. | ||
+ | is to apply this extension to log4j. | ||
- | **Supervisor**: | + | [1] David A. Dickey, B. Sinem Dorter, J. Michael German, Benjamin D. Madore, Mark W. Piper, Gabriel L. Zenarosa. " |
- | **Required Background**: The student should have completed undergraduate courses in Algorithms and Signals and Systems. | + | **Required Background:** General CSE408x prerequisites |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
- | **Recommended Background**: | ||
- | __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. | ||
- | 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:// | ||
- | 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. | ||
+ | ====== Mining Software Repositories Data====== | ||
+ | **Supervisor: | ||
- | ---- | + | **Required Background:** Good programming skills in Java; Good analytical and communication skills; Knowledge in AI and statistics; Interested in large scale software analysis |
- | : | + | |
- | ---- | + | |
- | ====== Touch- | + | **Short Description: |
- | **Supervisor**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **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**: | + | ======Model-based |
- | Possession of an Android touch-based | + | |
- | __Description__ | + | **Supervisor: |
- | This project involves extending a touch-based text entry method to include automatic error correction. | + | |
+ | **Required Background: | ||
+ | such as Arduino. | ||
+ | **Project Description: | ||
- | ---- | + | Model-based design with code generation tools can be used for simulation, rapid prototyping, |
- | : | + | |
- | ---- | + | |
- | ====== Early Breast Cancer Detection | + | |
- | **Supervisor**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **Required Background**: | + | ======C2000 Concerto Microcontrollers====== |
- | **Recommended background**: Signal processing, i.e. CSE3451 | + | **Supervisor:** Jia Xu |
- | Project Description: This research will develop advanced computer-aided, | + | **Required Background:** At least a B+ in Embedded Systems |
- | processing techniques for early detection of breast cancer using the available | + | strong C programming skills, solid knowledge |
- | 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 | + | |
- | 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 | + | |
- | locations as identified by the pathologists. The second step will quantify the accuracy | + | |
- | of our estimation algorithms. | + | |
- | ---- | + | **Description: |
- | : | + | 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; |
- | ====== Developing Fast Speech Recognition Engine using GPU ====== | + | 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. | ||
- | **Supervisor**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **Required Background**: | + | ======Real-Time Bidding Platform====== |
- | 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. | + | |
+ | **Supervisor: | ||
- | **Recommended | + | **Required |
- | Possession of an Android touch-based phone or tablet would be an asset, but is not essential. | + | (CSE3221), strong Ubuntu/ |
- | __Description__ | + | **Description: |
- | Recently, Graphics Processing Units (GPU' | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | During the recent years, there is an increasing demand in the job market | + | ======Circuit and Board Design |
- | References | + | **Supervisor: |
- | [1] Kisun You, Jike Chong, Youngmin Yi, Gonina, E., Hughes, C.J., Yen-Kuang Chen, Wonyong Sung, Keutzer, K., " | + | **Description: |
- | [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. | + | **Required Background** |
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | More project proposals may be added here in the first week of the winter term. | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc