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MASTER OF SCIENCE THESIS DEFENSE BY: David Prairie

When: Tuesday, May 19, 2015
10:00 AM - 12:00 PM
Where: > See description for location
Cost: free
Description: TOPIC: SYSTEMS ARCHITECTURE FOR INTERNET OF THINGS MACHINE TO MACHINE SUPPORTING SEASONAL LOAD RESTRICTIONS MANAGEMENT

LOCATION: Lester W. Cory Conference Room
Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Each year during the transition between winter and spring, roadways in the northern states of the United States go through a Frost-Thaw Cycle. The Frost-Thaw Cycle makes the roadways vulnerable to damage by passing heavy trucks; such as logging trucks. Due to this phenomenon, state agencies are forced to make costly repairs to these roadways year after year. The repair costs brought forth concerns and the need for a solution to forecast when roadway agencies should close down roads to avoid the roads being damaged.

The research discussed in this thesis explains the general background of the entire project and goes into detail about one specific portion of the project. The portion described in detail is responsible for extracting data from the wireless underground sensors and then packaging the data and posting it to the centralized repository located at the University of Massachusetts Dartmouth. The process used to select the various components is discussed in detail to explain why certain parts and designs were chosen over others. The several design iterations used will be discussed, along with the reasoning for why changes occurred and what changed in each of the iterations. Lastly, an analysis is conducted comparing component's cost and performance to see the cost effectiveness of the final design.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Paul J. Fortier
Committee Members: Dr. David Rancour and Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Ramprasad Balasubramanian, Department of Computer and Information Science
Topical Areas: General Public, University Community, Electrical and Computer Engineering