Masters Theses

Keywords and Phrases

Sampling rate; Sensors; Signal processing

Abstract

"The increasing frequency of explosive disasters throughout the world in recent years have created a clear need for the systems to monitor for them continuously for better detection and to improve the post disaster rescue operations. Dedicated sensors deployed in the public places and their associated networks to monitor such explosive events are still inadequate and must be complemented for making the detection more pervasive and effective. Modern smart phones are a rich source of sensing because of the fact that they are equipped with wide range of sensors making these devices an appealing platform for pervasive computing applications. The processing capabilities of the smartphone are fairly good for its sensors to be used in building explosive detection systems on them which will make the existing systems more robust and sensing handy to the mobile users. This thesis presents various challenges and opportunities in utilizing the capabilities of the sensors in smartphone for building those systems.

Using inexpensive accelerometer sensors in the smartphone, a design of Smartphone based Seismometer for explosion detection is been proposed in this work. We have evaluated the design using the accelerometer raw-data collected by the smartphone from a real explosion blasted in a mining laboratory"--Abstract, page iii.

Advisor(s)

Chellappan, Sriram

Committee Member(s)

Jiang, Wei
Lin, Dan

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2014

Pagination

viii, 33 pages

Note about bibliography

Includes bibliographical references (pages 31-32).

Rights

© 2014 Srinivas Chakravarthi Thandu, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

ExplosivesSmartphonesAccelerometersTime-domain analysisSeismometers -- Design

Thesis Number

T 10599

Electronic OCLC #

902737033

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