Date of Award

Summer 8-7-2020

Degree Type

Thesis-Restricted

Degree Name

M.S.

Degree Program

Computer Science

Department

Computer Science

Major Professor

Christopher Summa

Second Advisor

Adlai Depano

Third Advisor

Phani Vadrevu

Fourth Advisor

Shaikh Arifuzzaman

Abstract

Sound propagated underwater can possibly travel according to several different patterns. One such pattern, convergence zone (CZ), is the main focus of this thesis. This thesis presents an ArcGIS-based tool to easily choose specific points in the Atlantic Ocean based on latitude and longitude, then gather data about the propagation of sound at that point. In addition to this, a mini-app that generates machine learning datasets was created. It easily allows for one to label thousands of images in a short amount of time. A thousand CZ and a thousand non-CZ images were used to train a machine learning algorithm based on neural networks. The TensorFlow software library was used. To the best of our knowledge, this research work is the first attempt to detect a particular type of underwater sound propagation path from an image using machine learning. The algorithm can recognize CZ in images with 96% accuracy.

Rights

The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or in part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

Share

COinS