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  Partner: UNT College of Engineering
 Department: Computer Science and Engineering
 Department: Electrical Engineering
Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks

Indoor Propagation Modeling at 2.4 GHZ for IEEE 802.11 Networks

Date: April 2006
Creator: Akl, Robert G.; Tummala, Dinesh & Li, Xinrong
Description: This paper discusses indoor propagation modeling. Abstract: The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This work presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The Chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. A numerical analysis of measurements in each scenario was conducted and the study determined equations that describe path loss for each scenario.
Contributing Partner: UNT College of Engineering
Shared Ride: Transportation, Carbon Footprint and Ridesharing

Shared Ride: Transportation, Carbon Footprint and Ridesharing

Date: 2012
Creator: Garrett, Kim; Bell, Jesse; Huang, Yan & Powell, James
Description: This poster discusses transportation, carbon footprinting and ridesharing. The focus of this research project was to analyze and collect travel trajectories to calculate carbon footprints under different travel modes and identify ways to reduce it.
Contributing Partner: UNT College of Engineering
Shared Ride: Transportation, Carbon Footprint and Ridesharing

Shared Ride: Transportation, Carbon Footprint and Ridesharing

Date: 2012
Creator: Garrett, Kim; Bell, Jesse; Huang, Yan & Powell, James
Description: This report discusses reducing our carbon footprint through ridesharing. Abstract: The focus of this research project was to analyze and collect travel trajectories to calculate carbon footprints under different travel modes and identify ways to reduce it. We collected trajectory data using GPS from RET participants and translated it into energy consumption to determine if shared ride modes were available and the corresponding amount of reduced carbon footprints. We also researched issues associated with ridesharing such as coordination of routes, safety concerns, time costs, and social discomfort. Ridesharing is a possible solution to help reduce increasing amount of carbon emissions in our growing communities.
Contributing Partner: UNT College of Engineering