projects
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- | ====== | + | ====== |
- | (Listed in order received.) | + | \\ |
+ | ======Adapting a 3D Printer for Paste Extrusion====== | ||
- | ====== 3D Drawing System with Leap Motion finger tracker ====== | + | **Supervisor: |
- | **Supervisor**: | + | 3D printers are an enabling technology for engineering design. |
- | **Required Background**: | + | For more information, please send email to drsmith@yorku.ca. |
- | The Leap Motion, leapmotion.com, | + | Required Background: General CSE408x prerequisites |
- | ====== 3D Drawing System with 3Gear gesture tracker ====== | ||
- | **Supervisor**: | + | \\ |
- | **Required Background**: | + | ======Peer-to-Peer agent based applications in smart power grids====== |
- | The 3Gear system, threegear.com, | + | **Supervisor: |
- | ====== Comparison of Finger Tracking | + | Multi-agent |
- | **Supervisor**: Wolfgang Stuerzlinger | + | This project aims to implement formulated distributed constraint optimization (DCOP) in a multi-agent platform for two objectives in smart grids: 1) voltage regulation and 2) electricity market, |
- | **Required Background**: | + | The student should be a strong Java and MATLAB programmer. He should have prior knowledge about multi-agent platforms such as JADE. The work involves reading and understanding the formulated DCOP in smart grids and working with the supervisor and master/PhD student(s) to implement the developed algorithms and to measure the performance of the developed algorithm(s) in the multi-agent platform. |
- | This project compares the Leap Motion and the 3Gear System against each other in a comparative Fitts' law study | + | For more information, |
- | ====== Tilt Target Selection on Touchscreen Phones ====== | + | Required Background: General CSE408x prerequisites |
- | **Supervisor**: | ||
- | **Required Background**: | + | \\ |
- | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. | ||
- | **Readings**: MacKenzie, I. S., & Teather, R. J. (2012). FittsTilt: The application | + | ======Clustering High-Dimensional Data Sets====== |
+ | |||
+ | **Supervisor:** Suprakash Datta | ||
+ | |||
+ | Clustering is a basic technique for analyzing data sets. Clustering is the process of grouping data points in a way that points within a group are | ||
+ | more similar to each other than points in other clusters. Many clustering algorithms have been developed over the years. However no single algorithm works well for all data sets. Further, most clustering algorithms have running times of the order of n^2 or n^3, so that they are not feasible for data sets with hundreds of thousands of points. In this project we will design good clustering algorithms for large real data sets. In particular we are interested in | ||
+ | Biological data sets. | ||
+ | |||
+ | Our data sets will include those obtained from Flow Cytometry data. Flow Cytometry is a common technique in many areas of Biology, particularly Immunology. Typical usage involves testing a blood sample for 25 attributes on a per-cell basis, and thus typical data sets are arrays of 500,000 points in a 25 dimensional space. The aim is to identify clusters that correspond to a biologist' | ||
+ | |||
+ | No Biology knowledge is required. The student should be a strong programmer. Knowledge of C/C++ is desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s). | ||
+ | |||
+ | For more information, please send email to datta@cse.yorku.ca. | ||
+ | |||
+ | Required Background: General CSE408x prerequisites | ||
+ | |||
+ | |||
+ | \\ | ||
+ | |||
+ | |||
+ | ======Metaheuristic-based Optimization techniques====== | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | Optimization is a crucial step in many computational problems. For computational problems that seem (or are known to be) intractable, metaheuristic-based techniques often work well in practice. These are typically randomized algorithms, often inspired by physical or biological systems. Examples of such algorithms include simulated annealing, genetic algorithms and ant colony optimization. In this project we will focus on particle swarm optimization | ||
+ | |||
+ | The student should be a strong programmer. A good grasp of algorithms and knowledge of C/C++ are desirable but not essential. The work involves reading and understanding existing algorithms and working with the supervisor to design and implement improved algorithms and to measure the performance of the proposed algorithm(s). | ||
+ | |||
+ | For more information, | ||
+ | |||
+ | Required Background: General CSE408x prerequisites | ||
+ | |||
+ | \\ | ||
+ | |||
+ | ======Data visualization in Skydive====== | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | Skydive is a prototype system designed for database visualization using a concept of the so called | ||
+ | data pyramid. | ||
+ | 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 | ||
+ | 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: | ||
+ | |||
+ | • a 2D heat-map; | ||
+ | |||
+ | • a 2.5 D heat-map by 3D barchart; and | ||
+ | |||
+ | • 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 | ||
+ | |||
+ | 2. Implement functions for visualization based on cross-product of data pyramids. | ||
+ | |||
+ | 3. Add support for specular and normal maps for 2.5 D terrain presentation model. | ||
+ | |||
+ | Required Background: CSE 3421, Java programming course, (C programming course a plus) | ||
+ | |||
+ | |||
+ | \\ | ||
+ | |||
+ | ======Genome-wide identification of plant micro RNAs====== | ||
+ | |||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | |||
+ | 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. | ||
+ | |||
+ | Working with the support of a PhD student, your project will involve: | ||
+ | |||
+ | 1) Prediction of micro RNA (miRNA) targets on the basis of complementary sequence matches | ||
+ | |||
+ | 2) Correlation of miRNA and mRNA expression changes to identify genes that are regulated by miRNAs | ||
+ | |||
+ | 3) Conducting pathway analysis to determine which biological processes are controlled by miRNAs | ||
+ | |||
+ | 4) Construction of a miRNA/ | ||
+ | This work will contribute to a scientific manuscript on miRNA-mediated gene regulation in pokeweed during response to JA. | ||
+ | |||
+ | Requirements: | ||
+ | |||
+ | 1) Pre-requisites as per EECS Calendar | ||
+ | |||
+ | 2) Facility with script-writing/ | ||
+ | |||
+ | 3) Preference for students with knowledge | ||
+ | |||
+ | 4) Able to begin in September 2015 | ||
+ | |||
+ | Learning outcomes: | ||
+ | |||
+ | 1) Manipulate and analyze quantitative biological data | ||
+ | |||
+ | 2) Develop and test hypotheses by modifying existing software and writing new script | ||
+ | |||
+ | 3) Manage a CentOS computer server to store and facilitate ongoing research | ||
+ | |||
+ | No knowledge of biology is required. | ||
+ | |||
+ | For more information, | ||
+ | Hudak Lab website- http:// | ||
+ | |||
+ | RNA sequencing- http:// | ||
+ | |||
+ | 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 ====== | ====== Attentive Sensing for Better Two-Way Communication in Remote Learning Environments ====== | ||
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- Implement algorithms for detecting hand-raises based upon this investigation | - Implement algorithms for detecting hand-raises based upon this investigation | ||
- Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology | - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology | ||
+ | |||
+ | |||
+ | ====== Attentive Sensing for Sport Video Recording Markets ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **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. | ||
+ | |||
+ | ------------ | ||
- | ====== | + | \\ |
+ | ====== | ||
- | **Supervisor**: Jeff Edmonds | + | **Supervisor:** Franck van Breugel |
- | **Required Background**: General CSE408x prerequisites | + | Description: |
+ | JPF, which is short for Java PathFinder, is an open source | ||
+ | tool that has been developed at NASA's Ames Research Center. | ||
+ | The aim of JPF is to find bugs in Java code. Instead of | ||
+ | using testing to find those bugs, JPF uses model checking. | ||
+ | The facts that JPF is downloaded hundreds of times per month | ||
+ | and that some of the key papers on JPF have been cited more | ||
+ | than a thousand times reflect the popularity of JPF. In | ||
+ | fact it is the most popular model checker for Java. | ||
- | **Recommended Background**: | + | A study done by Cambridge University in 2014 found that the |
+ | global cost of debugging code has risen to $312 billion annually. | ||
+ | Furthermore, | ||
+ | programming time with finding and fixing bugs. As a consequence, | ||
+ | advocating the use tools, such as JPF, may have significant impact. | ||
- | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular | + | Installing JPF is far from trivial. |
+ | implemented | ||
+ | feasible | ||
+ | This would make it significantly simplifying | ||
+ | process | ||
+ | accessible to its potential users. | ||
- | The software required | + | The aim of this project |
+ | Since JPF relies on a number of configuration files, so-called | ||
+ | Java properties files, incorporating these properly into the | ||
+ | jar is one of the challenges. | ||
+ | another challenge. | ||
+ | our modifications to JPF should ideally be limited to only a | ||
+ | few classes, yet another challenge. | ||
- | To date a promising functional application has been developed in JAVA by a Computer Science student as a 4080 project. The existing software allows | + | In this project |
+ | of the DisCoVeri group (discoveri.eecs.yorku.ca) and | ||
+ | computer scientists of NASA. | ||
+ | free to send email to franck@cse.yorku.ca. | ||
- | More details {{:continuation_of_a_path_diagram_to_syntax_application.pdf|here}}. | + | **Required Background:** General CSE408x prerequisites |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
- | ====== Numerical Methods ====== | ||
- | **Supervisor**: | ||
- | **Required Background**: | ||
- | of Fortran, C or similar language. | ||
- | **Description**: | + | ====== Mining Software Repositories Data====== |
- | polynomial equations, with a view to comparing different known methods. | + | |
- | ====== Enabling SaaS access to an experimental AI planner ====== | + | **Supervisor: |
- | **Supervisor**: Sotirios Liaskos (liaskos at 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 |
- | **Required Background**: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms | + | **Short Description: |
- | 3402 -- Functional & Logic Programming, | + | |
- | 3101 -- Design | + | |
- | 4302 -- Compilers | + | |
- | **Description**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | The components are various Unix executables and LISP programs that need to interact in complex ways. The components may be residing in different servers in different universities. Currently integration is performed manually, at the expense of usability. Thus, we aim at constructing a module that: (a) integrates involved components to deliver output in one call, (b) exports a unique web interface (preferably following WSDL/SOAP) to be easily accessed by custom front-end tools by anyone, anywhere, (c ) offers a simple front-end for human users. | ||
- | Learning objectives: | ||
- | * Understand the technologies and process involved in turning native code into a web-service (" | ||
- | * Study a state-of-the-art AI planner and understand its workings. | ||
- | * Exercise scripting skills. | ||
+ | ======Model-based Design and Development of Embedded Systems with Code Generation Tools====== | ||
- | ====== Predicting Angular Error in Rigid Registration ====== | + | **Supervisor: |
- | **Supervisor**: Burton Ma | + | **Required Background:** At least a B+ in Embedded Systems (CSE3215), MATLAB, C programming skills, solid experience in using a microcontroller |
+ | such as Arduino. | ||
- | **Description**: Registration is a fundamental step in image-based surgical | + | **Project |
- | navigation. Several (seemingly) different approaches for predicting | + | |
- | distance errors in registration are known, but for some surgical | + | |
- | procedures, the angular error in registration is more important. | + | |
- | This project will validate an approach for predicting angular | + | |
- | error in registration; | + | |
- | simulated and actual registration data for testing purposes. | + | |
- | ====== Calibration | + | Model-based design with code generation tools can be used for simulation, rapid prototyping, |
- | **Supervisor**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **Description**: | + | ======C2000 Concerto Microcontrollers====== |
- | navigation systems. A typical pointer has a tracked target on one | + | |
- | end and a sharp or ball tip on the other end. Finding the location | + | |
- | of the tip relative to the target is a calibration problem. One | + | |
- | solution to the calibration problem involves pivoting the pointer | + | |
- | about the tip while tracking the target; if the tip is kept | + | |
- | stationary, then the target moves on the surface of a sphere. | + | |
- | Fitting the tracking data to the surface of a sphere yields the | + | |
- | location of the tip as the sphere center. Unfortunately, | + | |
- | calibrated tip position obtained using such a spherical calibration | + | |
- | has high variance. This project will investigate how much variance | + | |
- | there is in the calibrated tip position, and methods for reducing | + | |
- | the variance of the calibrated tip position. | + | |
+ | **Supervisor: | ||
- | ====== A privacy safeguard framework for sharing photos on Facebook ====== | + | **Required Background: |
+ | strong C programming skills, solid knowledge of microcontrollers | ||
- | **Supervisor**: | + | **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; | ||
+ | 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/ | ||
+ | |||
+ | **Description: | ||
+ | |||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | |||
+ | ======Circuit and Board Design for a Pulsed Ground Penetrating Radar====== | ||
+ | |||
+ | **Supervisor: | ||
- | **Description**: | + | **Description:** The project requires |
- | One of the major privacy concerns in Online Social Networks is photo sharing. | + | |
- | **Required | + | **Required |
- | **Desired prerequisite**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
+ | 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