projects
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projects [2013/01/09 20:36] – bil | projects [2015/08/26 21:59] – jarek | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | \\ |
+ | ======Clustering High-Dimensional Data Sets====== | ||
- | ====== Tilt Target Selection on Touchscreen Phones ====== | + | **Supervisor: |
- | **Supervisor**: | + | 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. | ||
- | **Required Background**: | + | 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 |
- | Touchscreen mobile devices commonly use a built-in accelerometer to sense movement or tilting actions of the device. | + | 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 |
- | **Readings**: MacKenzie, I. S., & Teather, R. J. (2012). FittsTilt: The application | + | For more information, |
+ | |||
+ | Required Background: General CSE408x prerequisites | ||
+ | |||
+ | |||
+ | \\ | ||
+ | |||
+ | |||
+ | ======Metaheuristic-based Optimization techniques====== | ||
+ | |||
+ | **Supervisor:** Suprakash Datta | ||
+ | |||
+ | 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 (PSO), a technique inspired by the search for food by flocks of birds or schools of fish. Briefly, a set (or population) of candidate solutions (called particles) are maintained at all times by the algorithm. These particles move in the search-space using simple rules that make use of the best solutions found so far by the particle as well as by the swarm. Movement of particles result in new particles being generated. The process is repeated until some termination criteria are met and the best solution found is output by the algorithm. While there is no guarantee of optimality, PSO has been shown to produce good or very good solutions for many practical problems. Many variants of PSO's have been proposed. In this problem we will study the performance of some PSO variants on both artificial and real optimization problems. | ||
+ | |||
+ | 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 |
+ | \\ | ||
+ | ------------ | ||
+ | \\ | ||
- | ====== YUsend Thermal Vacuum (TVAC) Test Manager ====== | ||
- | **Supervisor**: | ||
- | **Required Background**: | ||
- | **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 in the CSIL Lab (PSE 003). A “TVAC Test Manager” application written using LabView' | ||
- | 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' | ||
+ | ====== Mining Software Repositories Data====== | ||
+ | **Supervisor: | ||
+ | **Required Background: | ||
- | ====== Numerical Methods ====== | + | **Short Description: |
- | **Supervisor**: | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **Required Background**: | ||
- | of Fortran, C or similar language. | ||
- | **Description**: | ||
- | polynomial equations, with a view to comparing different known methods. | ||
- | ====== | + | ======Model-based Design and Development of Embedded Systems with Code Generation Tools====== |
- | **Supervisor**: Sotirios Liaskos (liaskos at yorku dot ca) | + | **Supervisor:** Jia Xu |
- | **Required Background**: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms and programming. Essential: 2031 -- Software Tools. Desired: | + | **Required Background:** At least a B+ in Embedded Systems (CSE3215), MATLAB, C programming |
- | 3402 -- Functional & Logic Programming, | + | such as Arduino. |
- | 3101 -- Design and Analysis of Algorithms, | + | |
- | 4302 -- Compilers and Interpreters. | + | |
- | **Description**: This project involves enriching and integrating a set of fairly complex scripts, which are components of an Artificial Intelligence (AI) planner, and exporting them to the public in a Software-as-a-Service (SaaS) fashion. | + | **Project |
- | 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 | + | Model-based design with code generation tools can be used for simulation, rapid prototyping, |
- | 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. | + | |
+ | ======C2000 Concerto Microcontrollers====== | ||
- | ====== Predicting Angular Error in Rigid Registration ====== | + | **Supervisor: |
- | **Supervisor**: Burton Ma | + | **Required Background:** At least a B+ in Embedded Systems (CSE3215), |
+ | strong C programming skills, solid knowledge of microcontrollers | ||
- | **Description**: | + | **Description:** The C2000 Concerto family of microcontrollers combines |
- | navigation. Several (seemingly) different approaches | + | two cores on a single-chip with on-chip low latency interprocessor communication between the two cores: a C28x 32-bit control core for |
- | distance errors in registration are known, but for some surgical | + | real-time control with faster/more loops and small sampling window; |
- | procedures, the angular error in registration is more important. | + | and an ARM 32-bit Cortex-M3 host core for communications and general purpose. The selected |
- | This project will validate | + | C2000 Concerto family of microcontrollers through testing |
- | error in registration; | + | that runs on C2000 Concerto Microcontrollers. |
- | simulated | + | |
- | ====== Calibration of a Tracked Pointer ====== | + | \\ |
+ | ------------------ | ||
+ | \\ | ||
- | **Supervisor**: | + | ======Real-Time Bidding Platform====== |
- | **Description**: Tracked pointers are the most common tools used in surgical | + | **Supervisor:** Jia Xu |
- | 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. | + | |
+ | **Required Background: | ||
+ | (CSE3221), strong Ubuntu/ | ||
- | ====== A privacy safeguard framework | + | **Description: |
- | **Supervisor**: Uyen Trang Nguyen | + | \\ |
- | + | ------------------ | |
+ | \\ | ||
+ | |||
+ | ======Circuit and Board Design for a Pulsed Ground Penetrating Radar====== | ||
+ | |||
+ | **Supervisor:**Sebastian Magierowski | ||
- | **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