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.
| Identifer | oai:union.ndltd.org:uno.edu/oai:scholarworks.uno.edu:honors_theses-1116 |
| Date | 01 May 2018 |
| Creators | Regmi, Bijay |
| Publisher | ScholarWorks@UNO |
| Source Sets | University of New Orleans |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Senior Honors Theses |
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