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_aevezon, Yanzy B.; Baños, Jerald M.; Osal, Mikaela; Paragas, Marianne Ysabel C.
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_aIoT-based life jacket tracker with dead-reckoning system for maritime search and rescue operations /
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_cDevezon, Yanzy B.; Baños, Jerald M.; Osal, Mikaela; Paragas, Marianne Ysabel C.
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_cJune 2024.46
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_c28 cm.
_a131 pp.
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_atext
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_aunmediated
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_aUndergraduate Thesis: (Bachelor of Science in Electronics Engineering) - Pamantasan ng Lungsod ng Maynila, 2024.
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_aABSTRACT: The consistent occurrence of maritime incidents leading to ship losses has been a longstanding concern within the Philippines due to its archipelagic geography. Life jackets play a crucial role in mitigating casualties during boat capsizing accidents. The researchers aim to enhance the capability of life jackets during Maritime Search And Rescue (MSAR) operations by implementing a tracking and dead reckoning system. A one-dimensional Kalman Filter (KF) was implemented to calibrate the Dead-Reckoning (DR) algorithm. A dedicated mobile application for MSAR operations displays the tracking features for the rescuers. The GPS tracker resulted in a Mean Absolute Error (MAE) value of 0.00006372 for latitude and 0.00005478 for longtitude 7.0092 and 6.09808 meters off, respectively. The DR algorithm without the KF has an MAE of 0.028003286 and 0.043925076 for its latitude and longtitude values and is off by 3.08 and 4.89 kilometers, respectively. The DR algorithm with KF has an MAE of 0.000196329 and 0.000167453 for its latitude and longtitude values and is off by 21.596 and 18.64 meters, respectively, significantly lower than the DR system without KF. Overall, the mobile application had positive reviews from respondents working/studying in the maritime industry per ISO 9126.
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