ECE MS Thesis Defense by Zaidan Sheabar
When: Thursday,
January 22, 2015
1:30 PM
-
2:30 PM
Where: Science and Engineering Building 285 Old Westport Road, Dartmouth, MA
Description: TOPIC: Wireless Underground Sensing: A Semi-Passive RFID Smart Sensor Node Design
ABSTRACT:
Current radio frequency identification (RFID) tagging methods are not applicable to all scopes and applications due to design limitations. The RFID tags are often used in system inventorying and cold-storage monitoring applications without the option to expand upon the wireless nodes operation. In this thesis, we present a designed and developed underground semi-passive RFID smart sensor node which utilizes four sensors to monitor its surrounding environment. Hardware and software additions are discussed, which offer improvements over current technology by providing moisture, temperature, pressure, and deflection sensing capabilities along with data logging at user-specified intervals.
The sensor node presented was developed in relation to the United States (US) Department of Transportation (DOT) Office of Assistant Secretary for Research and Technology grant (OASRTRS-14-H-UMDA). The research grant supports development of wired and wireless sensor nodes and support sub-systems for use in frost/thaw forecast modeling and a decision support system.
ABSTRACT:
Current radio frequency identification (RFID) tagging methods are not applicable to all scopes and applications due to design limitations. The RFID tags are often used in system inventorying and cold-storage monitoring applications without the option to expand upon the wireless nodes operation. In this thesis, we present a designed and developed underground semi-passive RFID smart sensor node which utilizes four sensors to monitor its surrounding environment. Hardware and software additions are discussed, which offer improvements over current technology by providing moisture, temperature, pressure, and deflection sensing capabilities along with data logging at user-specified intervals.
The sensor node presented was developed in relation to the United States (US) Department of Transportation (DOT) Office of Assistant Secretary for Research and Technology grant (OASRTRS-14-H-UMDA). The research grant supports development of wired and wireless sensor nodes and support sub-systems for use in frost/thaw forecast modeling and a decision support system.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: Faculty, Students, Graduate, Electrical and Computer Engineering