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ongoing [2011/05/09 20:08] – bil | ongoing [2016/12/07 15:27] (current) – roumani | ||
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- | ====== | + | ====== |
+ | ====== Comparison of Finger Tracking systems ====== | ||
+ | |||
+ | **Student**: | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **Required Background**: | ||
+ | |||
+ | __Description__ | ||
+ | This project compares the Leap Motion and the 3Gear System against each other in a comparative Fitts' law study | ||
+ | |||
+ | |||
+ | __Completed__ | ||
+ | Winter, 2013 | ||
+ | |||
+ | ====== Imputation of missing values in microarray data ====== | ||
+ | |||
+ | **Student**: | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | __Description__ | ||
+ | |||
+ | Microarrays are a relatively new technology that have had tremendous | ||
+ | impact on many areas within biology and bioinformatics. | ||
+ | technology enables researchers to study the behaviour of many genes | ||
+ | and/or conditions in a single experiment. | ||
+ | |||
+ | Due to technological limitations and experiment design issues, | ||
+ | microarray data sets typically have several missing values. | ||
+ | shown that imputation of these values improves the accuracy of | ||
+ | different processing tasks, including clustering, that are typically | ||
+ | done on these data sets. Therefore, good imputation algorithms are | ||
+ | required. | ||
+ | |||
+ | In this project, we will explore fast and accurate imputation algorithms | ||
+ | for microarray data. The student will first read the papers assigned | ||
+ | and write a short summary of them. Then, he will study the performance | ||
+ | a few algorithms from the literature (many algorithms are already | ||
+ | implemented but 1 - 2 may need to be implemented). | ||
+ | work with the supervisor on the design of better algorithms for the | ||
+ | problem being studied. | ||
+ | compare the performance (accuracy and speed) of the new algorithm(s) to | ||
+ | the GMCImpute algorithm and several other existing ones. | ||
+ | |||
+ | Throughout the course, the student is required to maintain a course | ||
+ | website to report any progress and details about the project. | ||
+ | |||
+ | ====== An Open Source Structural Equation Modeling Graph Drawing Application ====== | ||
+ | |||
+ | **Student**: | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | __Description__ | ||
+ | |||
+ | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular in the sciences. SEM allows researchers to test the validity of hypothesized models involving complex relationships among multiple variables. These models can include latent variables, which are not measured directly but are constructs inferred by observed variables. Structural equation models can be represented visually by graphs. To generate such graphs currently in R would require over 80 lines of code which has no reusability and has to be re written each time a new graph has to be developed or analyzed (R is a UNIX based command line only program, however it is a very powerful analytic research tool). | ||
+ | |||
+ | Collected data is used to estimate the parameters of the equations and assessing the fit of the model. There are several SEM software options available to researchers, | ||
+ | |||
+ | We propose developing an application which will allow the user to load observed variables from a data file to create graphs, or allow using an intuitive graphical interface, and convert the graphs into a text based model specification file (ie generate the code required so the graph can be used in other programs such as R). This text file can then be used as input for the sem() function in R. The application will be implemented in Java, which can then be used with any OS. Later versions may include the ability to call R functions directly from within the application and provide options for more advanced structural equation modeling techniques. | ||
+ | |||
+ | ====== Exploring the notion of Variability in Business Process Modeling (and its relationship with Goals) ====== | ||
+ | |||
+ | **Student**: | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | __Description__ | ||
+ | |||
+ | Business Process Modeling (BPM) notations are an increasingly popular subject of investigation in the analysis and design of Information Systems. Such notations allow analysts to represent different ways by which actors of a domain can collaboratively perform tasks in order to meet certain business goals. The diagrammatic result allows understanding of the involved activities at various levels of abstraction each being useful for different stakeholders, | ||
+ | |||
+ | Variability occurs in business processes, in that the same business process may need to either be reused in a different context (e.g. a different organization) or adapt to changing requirements or environmental constraints. Thus, each variation of the business process is applicable to a different situation affects specified customization criteria in a different way. Such criteria may include high-level qualities or non-functional goals e.g. such as key performance indicators (KPIs) or operational constraints that prescribe patterns which the business process must follow. To some extend BPMs offer constructs for modeling such variability. However, both the problems of modeling customization criteria and that of using them to derive business process variations that best satisfy them have not enjoyed significant attention in the literature. | ||
+ | |||
+ | In this project we shall investigate ways of modeling and reasoning about business process variability. We will pick a BPM, possibly BPMN, and explore different ways by which variability can be expressed. Then we will look at criteria that define variant selection and how such can be represented as well. Through possible formalizations in specification frameworks that are used in AI such as Situation Calculus or planning definition languages, the problem of automatically selecting variants of interest in order to meet certain customization criteria shall be studied. In the end we are hoping to develop a concrete framework for representing and reasoning about business process variability in light of high-level goal-based customization criteria. | ||
+ | |||
+ | ====== Mobile Software Development Platform Comparison: Windows Phone 7 and Android ====== | ||
+ | |||
+ | **Student**: | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | __Description__ | ||
+ | |||
+ | Over the past decade the development and use of smartphone technologies has become increasingly sophisticated. The computational power of modern smartphones is growing to match the power of conventional desktop computers. More people and organizations are becoming increasingly dependent on their mobile devices being able to perform sophisticated computations. As the leaders in the technology industry move towards providing advanced products and development platforms, the environment of traditional software development is changing rapidly. Mobile applications that provide a variety of services involving cloud computing, GPS, games, and automation. | ||
+ | |||
+ | The goal of this project is to explore and compare the software development platforms for popular mobile phone operating systems for the development of applications and games. | ||
+ | |||
+ | Business applications and games have distinctive features in the context of mobile platforms. For regular applications, | ||
+ | |||
+ | The games developed in each platform are intended to serve as explorations into the graphics capabilities of both systems. Graphics environments and frameworks are another area in mobile devices that are becoming increasingly important. Rich graphics and animation capabilities are important for providing immersive user experiences and games are excellent environments to develop and test interactive graphics capabilities on mobile devices. The Windows Phone 7 game development framework uses and extension of Microsoft’s well established XNA framework. This provides libraries to develop and debug game and graphics engines and easily integrate multimedia content into mobile games. Android game applications depend on a to be determined open source game engine. | ||
+ | |||
+ | This project aims to compare the mobile platforms with respect to development languages, the use of object oriented software development principles and the utility of the tools. The applications and documentation developed through the course of this project should also provide a good source of information for computer science and engineering students who might want to develop software on mobile platforms. Using standard libraries and working with established frameworks and as well as open source frameworks to develop reliable, extendible and reusable code for mobile platforms would be an excellent experience for students to learn about new emerging technologies and the software engineering concepts that apply to them. | ||
====== CPS/1 Emulator ====== | ====== CPS/1 Emulator ====== | ||
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http:// | http:// | ||
- | ====== | + | ====== |
- | **Student**: | + | **Student**: |
- | **Supervisor**: | + | **Supervisor**: |
__Description__ | __Description__ | ||
- | Business Process Modeling | + | Quantum mechanics makes it impossible |
- | + | ||
- | Variability occurs in business processes, in that the same business process may need to either be reused in a different context (e.g. a different organization) or adapt to changing requirements or environmental constraints. Thus, each variation of the business process is applicable to a different situation affects specified customization criteria in a different way. Such criteria may include high-level qualities or non-functional goals e.g. such as key performance indicators (KPIs) or operational constraints that prescribe patterns which the business process must follow. To some extend BPMs offer constructs for modeling such variability. However, both the problems of modeling customization criteria | + | |
- | + | ||
- | In this project we shall investigate ways of modeling and reasoning about business process variability. We will pick a BPM, possibly BPMN, and explore different ways by which variability can be expressed. Then we will look at criteria that define variant selection and how such can be represented as well. Through possible formalizations in specification frameworks that are used in AI such as Situation Calculus or planning definition languages, the problem of automatically selecting variants of interest in order to meet certain customization criteria shall be studied. In the end we are hoping to develop a concrete framework for representing and reasoning about business process variability in light of high-level goal-based customization criteria. | + | |
- | + | ||
- | ====== Mobile Software Development Platform Comparison: Windows Phone 7 and Android ====== | + | |
- | + | ||
- | **Student**: | + | |
- | + | ||
- | **Supervisor**: | + | |
- | + | ||
- | __Description__ | + | |
- | + | ||
- | Over the past decade the development and use of smartphone technologies | + | |
- | + | ||
- | The goal of this project is to explore and compare the software development platforms for popular mobile phone operating systems for the development of applications and games. | + | |
- | + | ||
- | Business applications and games have distinctive features in the context of mobile platforms. For regular applications, | + | |
- | + | ||
- | The games developed in each platform are intended to serve as explorations into the graphics capabilities of both systems. Graphics environments and frameworks are another area in mobile devices that are becoming increasingly important. Rich graphics and animation capabilities are important for providing immersive user experiences and games are excellent environments to develop and test interactive graphics capabilities on mobile devices. The Windows Phone 7 game development framework uses and extension of Microsoft’s well established XNA framework. This provides libraries to develop and debug game and graphics engines and easily integrate multimedia content into mobile games. Android game applications depend on a to be determined open source game engine. | + | |
- | + | ||
- | This project aims to compare the mobile platforms with respect to development languages, the use of object oriented software development principles and the utility of the tools. The applications and documentation developed through the course of this project should also provide a good source of information for computer science and engineering students who might want to develop software on mobile platforms. Using standard libraries and working with established frameworks and as well as open source frameworks to develop reliable, extendible and reusable code for mobile platforms would be an excellent experience for students to learn about new emerging technologies and the software engineering concepts that apply to them. | + | |
+ | Determining the block size in this protocol is critical due to its exponential effect on information leaked to an eavesdropper. If the block size is too small, too much information is leaked, and if it is too large, not enough bits will be shared. | ||
+ | |||
+ | The purpose of this project is to simulate the protocol in a Java program and then run the simulation for a variety of error rates and block sizes while monitoring the leakage. This will allow us to determine the optimal block size for the BB84 Quantum Key Distribution Protocol. |
ongoing.1304971707.txt.gz · Last modified: 2011/05/09 20:08 by bil