Date of Award
5-2018
Thesis Date
5-2018
Degree Type
Honors Thesis-Restricted
Degree Name
B.S.
Department
Computer Science
Degree Program
Computer Science
Director
Mahdi Abdelguerfi
Abstract
Tracking an individual species has always been a challenge for scientists, especially when one has to make sure to not change its natural movement pattern. When the number of individuals being tracked is increased and water is added to the equation, the task becomes next to impossible. But thanks to technologies and tracking methods like telemetry, the task of tracking any species without affecting the natural movement pattern has not only become a reality but easily accessible to scientists. Underwater acoustic telemetry has become a standard tool for fisheries biologist to study the movement pattern of the fish (Heupel). This project develops a minimalistic database designed to meet the needs of the telemetry systems. The database is optimized for storing a large number of datasets generated by the telemetry system and also for the most common queries run against the system.
Recommended Citation
Regmi, Bijay, "Database Design and Optimization for Telemetric Aquatic Species-Tracking Systems" (2018). Senior Honors Theses. 118.
https://scholarworks.uno.edu/honors_theses/118
Rights
The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this honors thesis in whole or part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the honors thesis.