Doctoral Dissertations

Keywords and Phrases

Algorithms; Explosions; Participatory Sensing; Pevasive Sensing; Sensors; Smartphones


"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 to improve the post-disaster emergency events such as rescue and recovery operations. Disasters both man-made and natural are unfortunate and not preferred, however monitoring them may be a lifesaving phenomenon in emergency scenarios. Dedicated sensors deployed in the public places and their associated networks to monitor such events may be inadequate and must be complemented for making the monitoring more pervasive and effective. In the recent past, modern smartphones with significant processing, networking and storage capabilities have become a rich source of mobile infrastructure empowering participatory sensing to address many problems in the area of pervasive computing.

In the work presented in this dissertation, smartphone sensed data during disastrous scenarios is extensively studied, analyzed and algorithms were built for participatory sensing to address the problems, specifically in the context of Explosion -- Events which are of interest to the current study. This work presents description of the systems for assisting people by detecting, ranging and estimating intensity of the explosion events leveraging multi-modal smartphone sensors. This work also presents various challenges and opportunities in utilizing the capabilities of the sensors in smartphone for building such systems along with practical applications, limitations and future directions"--Abstract, page iii.


Yin, Zhaozheng
Chellappan, Sriram

Committee Member(s)

Jiang, Wei
Lin, Dan
Zawodniok, Maciej Jan, 1975-


Computer Science

Degree Name

Ph. D. in Computer Science


Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)

Research Center/Lab(s)

Intelligent Systems Center


Missouri University of Science and Technology

Publication Date

Summer 2016


x, 97 pages

Note about bibliography

Includes bibliographic references (pages 91-96).


© 2016 Srinivas Chakravarthi Thandu, All rights reserved.

Document Type

Dissertation - Open Access

File Type




Subject Headings

Remote sensing

Thesis Number

T 10983

Electronic OCLC #