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Electrical and Computer Engineering Department


2009 REU Projects

 

Name of Intern: Allen George, Wayne State University, Detroit, Michigan

Title of Project: Network Simulators for VANET Broadcast Methods

Abstract: Complex broadcast methods in VANETs (vehicular ad-hoc networks) require specialized simulation techniques. Previous methods like theoretical calculations or general simulations will not work. Network simulators like OPNET, ns2, and GloMoSim are able to handle the large amounts of nodes and traffic needed to test broadcast methods. Because they can configure nodes into groups, they can test how groups can help improve broadcast methods.

 

Name of Intern: Andrew John Walter, Western Michigan University, Kalamazoo, Michigan

Title of Project: Optical Signal Detection in Strong Turbulence

Abstract: In this study the signal detector performance for an optical communications system employing a p-i-n photodiode and operating through the turbulent atmosphere is investigated.  The effect of the turbulent atmosphere on the signal is modeled as a gamma-gamma random process which can be manipulated to fit weak to strong turbulence.  The probability of miss is evaluated through Monte Carlo simulations.  Using the probability of miss and the probability of false alarm, the appropriate signal length and detection threshold can be determined so that the required system performance is met.

 

Name of Intern: Bradley Martens, Wayne State University, Detroit, Michigan

Title of Project: Raman Spectral Analysis and Classification

Abstract: Raman spectroscopy is a promising tool for cancer detection.  However, there are drawbacks associated with sending the data to a lab to be analyzed, such as a long wait period for results.  The Raman processing software application is being developed to make it easier to use automated preprocessing and data analysis methods on Raman spectra.  In addition, the application will provide the ability to analyze Raman spectral peaks.  These peak analysis methods output either what a particular peak may represent or various products that the spectrum as a whole may contain.  Support vector machine classification will allow unknown data to be tested against a support vector machine that has been trained with two classes of known data thereby allowing the user to determine which type that it belongs.

 

Name of Intern: Charles Toeppe, Monroe Community College, Monroe, Michigan

Title of Project: Increase Performance with Remote Procedure Calls

Abstract: Mobile devices are increasing in popularity, but are limited by weak hardware. We propose and examine using remote procedure calls to export tasks from mobile devices to more powerful, remote systems in an attempt to increase application performance and potential. An implementation of checkers is created to compare the use of classical and remote procedure call techniques. It was found that the use of Remote Procedure Calls were practical and delivered consistent performance gain.

 

Name of Intern: Claire Maki, University of Michigan, Ann Arbor, Michigan

Title of Project: Performance Variations in Cloud Computing

Abstract: Cloud computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry [1]. It is a cost-effective, scalable solution to traditional computing.  Amazon and Google have already created their own clouds, and many more companies are predicted to follow. The following sections introduce the concept of cloud computing along with its advantages and challenges.

 

Name of Intern: Eduardo E. Villalba, Universidad Metropolitan, Puerto Rico

Title of Project: Using The YouTube API’S And Tools To Develop Application For Vehicles

Abstract: Multimedia is very important in our daily life. We have multimedia everywhere in computers, televisions and even on the fridge and the oven. But since a couple of years ago multimedia which is used in contrast to media which only use traditional forms of printed or hand-produced material. Multimedia includes a combination of text, audio, still images, animation, video, and interactivity content forms have being implemented on cars for several different reasons. These reasons mainly include safety, entertainment, communication and the all popular Global Positioning Systems (GPS). In this project my main focus is to create a user friendly interface to let the user in this case the driver or the passengers of the car to connect to an online video service in this case YouTube using the YouTube API’S and Tools. This application may lead us to others application such medical, safety and communication applications among many others.

 

Name of Intern: Elizabeth Halash, Wayne State University, Detroit, Michigan

Title of Project: Offloading CPU Intensive Applications to the Cloud Using Java RMI

Abstract: The term “cloud computing” is becoming more and more popular in the mass media, but what does the term really mean and what are its implications?  The current consensus of the definition of the “cloud” is the combination of hardware and software provided remotely as a service. My research focused on analyzing the potential of cloud computing.   More specifically, I am researching whether it is beneficial in terms of speed to offload CPU intensive applications to a powerful server in the cloud.  While I have currently only run tests using a desktop computer as the client, the ultimate goal is to offload applications from a mobile device. My current research has shown that offloading a  computationally intensive application to a remote server can be significantly faster than running the same application on a local machine.  In fact, it can take 80% less time to run an application on the server compared to running it on the local client machine.

 

Name of Intern: Malek Musleh, University of Michigan Dearborn, Dearborn, Michigan

Title of Project: Digital Document Authentication

Abstract: The goal of this paper is to illustrate a new method of certifying and authenticating digital documents. This method aims to exploit the distinctive characteristic of a paper document’s grain structure to develop a unique paper signature to certify the document’s authenticity. The grain structure of one sample of paper, will never have quite the same characteristics of another sample paper, even if both samples are of the same color, type, or originated from the same source. The documents are compared digitally, requiring the authenticator to have a digital image of the paper document in question as well as a digital image of the original document. The intent of this method is to apply a “fingerprint” signature to each certifying document in order to safeguard against counterfeiting. This certification method is highly invulnerable to the main forms of counterfeiting, copying and spoofing, as replicating or reconstructing a paper’s grain structure becomes quite difficult. Figure 1 illustrates a type of copy attack.

 

Name of Intern: Niesha Amos, Wayne State University, Detroit, Michigan

Title of Project: Fashion Computing

Abstract: Construction kits have a long history in encouraging and enhancing creativity with engineering and design amongst children, novices and professionals. In response to the growing research of integrating human interaction with computers, electronic textiles construction kits have been formed to introduce and engage interest in electrical engineering and computer science. The LilyPad Arduino construction kit , the latest construction kit within the electronic textile prototype family, allows users to create their own wearable computer designs.

 

Name of Intern: Showkat Hossain, SUNY Buffalo, Buffalo, New York

Title of Project: Sonic Infrared Imaging (SIRI)

Abstract: A simple process is necessary to detect defects in materials and structures in  a short period of time to maximize the materials potential in the industry. With sonic infrared  imaging (SIRI) it is possible to identify defects, surface or subsurface, such as cracks, delaminations, disbonds and others in less than sixty seconds. SIRI is a simple three step NDE technique, ultrasonic excitation, infrared imaging, and data/image analysis, used to simplify and eliminate complications with nondestructive evaluation.  The process involves a short ultrasonic pulse which excites the material being tested and a sonic infrared video camera is used simultaneously to capture the temperature change caused by frictional heating by the excitation source. The data/image produced is then analyzed using a temperature-time plot. The ultrasonic pulse causes vibrations and if there is a defect then rubbing or clapping of the faying surface causes frictional heating thus temperature change. Sonic infrared imaging can be used to improve product quality, increase safety, lower the cost of manufacturing and reduce scrap.

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