Fang, Y.-Y.Y.-Y.FangLiu, M.-C.M.-C.LiuChou, S.-E.S.-E.ChouChen, C.C.ChenCHIEN-KANG HUANGCHI-FANG CHEN2020-01-172020-01-172013https://scholars.lib.ntu.edu.tw/handle/123456789/451141This paper presents an automated event detector of long time series of hydrophone data from Marine Cable Hosted Observatory (MACHO) system installed by the Central Weather Bureau in the offshore region of Taiwan's northeast coast. The detector includes time-varying ambient noise level estimation via SEL (Sound Exposure Level per second) and Leq (equivalent continuous sound level, averaged over 30 seconds), and an energy detector with the estimated ambient noise level as threshold. A user friendly UI (user interface) is written to enhance the utilization. A full year of data are analyzed with the detector, and the results are satisfactory in the robustness the detection rate and the efficiency of analysis of large amount of data. © 2013 IEEE.[SDGs]SDG14Central weather bureaux; Detection rates; Energy detectors; Event detection; Event detectors; Long time series; Sound exposure levels; Underwater acoustic data; Acoustic noise; Underwater acoustics; User interfaces; Detectorsconference paper10.1109/UT.2013.65198872-s2.0-84879424319https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879424319&doi=10.1109%2fUT.2013.6519887&partnerID=40&md5=2f962ce1b159469b37d6a1bb5d0f3d85