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Tuesday, May 19, 2015
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1:00 PM
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3:00 PM
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MASTER OF SCIENCE THESIS DEFENSE BY: Brandon David Malaguti
- Location: > See description for location
- Cost: free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: MONITORING REAL TIME PAVEMENT CONDITIONS USING AN RFID WIRELESS SENSING NETWORK
LOCATION: Lester W. Cory Conference Room
Science & Engineering Building (Group II), Room 213A
ABSTRACT:
States deal with below freezing weather causing roads and the ground below to freeze. When the ground begins to thaw, ice melts, leaving the ground under the roads softer. Large trucks carrying heavy loads can cause permanent damage to roads when the roads are in a soft state. For this reason, a seasonal load restriction (SLR) policy is implemented to restrict truck loads during the road thaw period. Consequently, SLR imposition results in a lack of profit from trucking and related industry. During the SLR period there are times when the roads could be safe for larger loads. Currently, no cheap real-time method exists for roads to be monitored to allow trucks to change loads based on real-time circumstances.
The proposed solution to this problem is to implement an affordable system for monitoring road temperatures and moisture using radio frequency identification (RFID) sensors. To successfully place and remove SLRs, the RFID sensors need to detect the current condition of the pavement and relay the condition to a collector, or RFID reader. The current condition of the pavement is measured through the use of external temperature and moisture sensors. An onboard microcontroller unit (MCU) gathers the measured readings and store them into memory with a corresponding time. The MCU connects to an RF transceiver allowing for the data in memory to be wirelessly transmitted to an RFID reader. Collected data is used by the State Department of Transportation (DOT) to properly decide the real-time road conditions on a daily or hourly basis, effectively allowing the DOT to place or remove restrictions as necessary.
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. Heather Miller, Department of Civil and Environmental Engineering
- Topical Areas: General Public, University Community, Electrical and Computer Engineering
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9:30 AM
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10:30 AM
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CANCELLED:
Acalog Training for Editors
- Location: Claire T. Carney Library, Room 226
, 285 Old Westport Road, Dartmouth, MA
- Contact: > See Description for contact information
- Description: This class will allow Editors in Acalog to learn the appropriate procedures for updating information in the Acalog catalog.
Contact Verena Lisinski (vlisinski) at x8609 for more information or questions.
- Topical Areas: Training, Workshop, audience: Faculty
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10:00 AM
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12:00 PM
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MASTER OF SCIENCE THESIS DEFENSE BY: David Prairie
- Location: > See description for location
- Cost: free
- Contact: ECE: Electrical & Computer Engineering Department
- 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
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