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ORCID

https://orcid.org/0000-0003-4048-5586

Access Type

Campus-Only Access for One (1) Year

Document Type

thesis

Embargo Period

5-14-2022

Degree Program

Electrical & Computer Engineering

Degree Type

Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)

Year Degree Awarded

2021

Month Degree Awarded

May

Abstract

Ambient temperature sensing plays an important role in a number of applications in agriculture, industry, daily health care. In this thesis project, we propose a new acoustic-based ambient temperature sensing method called Mtemp. Mtemp empowers acoustic-enabled IoT devices, smartphones to perform ambient air temperature sensing without additional hardware. Basically, Mtemp utilizes on-board speaker and microphone to calculate the propagation speed of acoustic signal by measuring the phrase of the target signal, thereby estimate the ambient temperature according to a roughly linear relationship between temperature and sound speed. Mtemp is portable and economical, making it competitive compared with traditional thermometers for ubiquitous sensing.

DOI

https://doi.org/10.7275/22470564.0

First Advisor

Jie Xiong

Second Advisor

Jeremy Gummeson

Third Advisor

Yadi Eslami

Available for download on Saturday, May 14, 2022

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