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Oakland University

2008 Projects

Advisor: Dr. Zohdy
In this project, Self Organizing Feature Maps are trained to categorize animal communication sounds into danger hunger and mating calls for Humpback, Whales, Bottlenose, Dolphins and Coyotes. Features are extracted in time domain frequency domain and joint time frequency domain from audio files of animal communication. Unknown calls are then fed into the map to identify the sound. Several contributions have been made to the maps to improve the quality speed and accuracy. Correlation has been implemented as the activation function to improve the accuracy of identifying sounds. A history function to update previous winning nodes has been implemented to decrease the time necessary to complete the training phase. Sammon mapping has also been proposed to provide better initialization of vectors.
Advisor: Dr. Li
Ultra Wide Bandwidth (UWB) acts as a potential way to construct the intra- vehicle wireless sensor network. We measured and modeled by UWB propagation channel for the commercial vehicle environment. We have two scenarios of channel sounding and their measurements. In the first scenario we have both antennas beneath the chassis, the other scenario both antennas are inside the engine compartment. The results that are given are to be group into clusters. A cluster is commonly known to be a group of multipath components with similar parameters. Clusters are usually identified manually. However we have a very large amount of data, this would be impractical to do. Therefore we designed an algorithm to cluster the data automatically. Our algorithm clusters our data with little or no error.
Advisor: Dr. Mili
Route guidance refers to all decision aids that help drivers select a route from their source to destination location. In its simplest form, route guidance is the search for a shortest path in a directed graph. In practice, the problem is complicated by the facts that: 1.Many time variable factors affect the quality of a route, 2. optimal decisions made in light of a current configuration (state of the roads, traffic congestion) change the situation by potentially causing congestions elsewhere and making the selected route sub-optimal. In this project, we survey existing algorithms, analyze their properties, and perform a comparative simulation using the TRANSIMS environment. TRANSIMS is an integrated system of travel forecasting open source traffic simulation environment developed by the Los Alamos National Laboatory for the Department of Transportation.
Advisor: Dr. Fu
Vehicular Ad-Hoc Networks (VANETs) are networks of communication between vehicles and roadside units. These networks have the potential to increase safety and provide many services to drivers, but they also present risks to privacy. Researching mechanisms to protect privacy requires two key ingredients: 1. a precise definition of privacy that reflects citizens concerns and perceptions, and 2. an understanding of the type of attacks that VANETS are vulnerable to. In this research, we formulate a workable definition of privacy, and focus on tracking attacks, which we found to be lacking. Although considerable research has been performed in tracking none of the published solutions ensures full protection. We propose to combine a set of published solutions, namely: Mix Zones, Silent Periods, and Group Signatures in order to improve the protection of privacy of drivers. Vehicles enter a region where, vehicles change their pseudonyms (Mix Zone) as well as network addresses, and then enter the silent period, and use one group key for communication. The solution prevents attackers from linking transmission to a particular vehicle after an intersection. It could help make tracking more difficult and increase the safety and confidence of drivers using VANET.