{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:20:00Z","timestamp":1750220400397,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T00:00:00Z","timestamp":1637884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["42074178"],"award-info":[{"award-number":["42074178"]}]},{"name":"the Education Department of Jilin Province of China","award":["JJKH20200945KJ"],"award-info":[{"award-number":["JJKH20200945KJ"]}]},{"name":"the National Key R&D Program of China","award":["2019YFC1804805-4"],"award-info":[{"award-number":["2019YFC1804805-4"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,11,26]]},"DOI":"10.1145\/3503047.3503121","type":"proceedings-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T23:32:51Z","timestamp":1642635171000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic selection of ambient noise observation stations based on the clustering algorithm"],"prefix":"10.1145","author":[{"given":"Xiaohua","family":"Zhou","sequence":"first","affiliation":[{"name":"College of Instrumentation &amp; Electrical Engineering, Jilin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinkai","family":"Meng","sequence":"additional","affiliation":[{"name":"College of Instrumentation &amp; Electrical Engineering, Jilin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghui","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Instrumentation &amp; Electrical Engineering, Jilin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jainbin","family":"Zheng","sequence":"additional","affiliation":[{"name":"College of Instrumentation &amp; Electrical Engineering, Jilin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenrui","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Instrumentation &amp; Electrical Engineering, Jilin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"issue":"8","key":"e_1_3_2_1_1_1","first-page":"2618","article-title":"Methods of ambient noise-based seismology and their applications.\u00a0Chinese J","volume":"58","author":"Xu Y X","year":"2015","unstructured":"Xu Y X , Luo Yin-He . 2015 . Methods of ambient noise-based seismology and their applications.\u00a0Chinese J . Geophysics. 58 ( 8 ): 2618 - 2636 . Xu Y X, Luo Yin-He. 2015. Methods of ambient noise-based seismology and their applications.\u00a0Chinese J. Geophysics.58(8):2618-2636.","journal-title":"Geophysics."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5194\/se-10-363-2019"},{"issue":"15","key":"e_1_3_2_1_3_1","first-page":"1","article-title":"Magma transfer processes in the NE Japan Arc: insights from crustal ambient noise tomography combined with volcanic eruption records","volume":"3","author":"Geoyg F","year":"2019","unstructured":"Geoyg F , Chen K X , Gung Y C , Kuo B Y , Yoshida T. 2019 . Magma transfer processes in the NE Japan Arc: insights from crustal ambient noise tomography combined with volcanic eruption records . Frontiers in Earth Science. 3 ( 15 ): 1 - 8 . Geoyg F, Chen K X, Gung Y C, Kuo B Y, Yoshida T.2019.Magma transfer processes in the NE Japan Arc: insights from crustal ambient noise tomography combined with volcanic eruption records. Frontiers in Earth Science. 3(15):1-8.","journal-title":"Frontiers in Earth Science."},{"issue":"2","key":"e_1_3_2_1_4_1","first-page":"244","article-title":"Speeding the nine components cross correlation function calculation using cloud computing and its application on the dataset of ChinaArray -NE Tibet","volume":"34","author":"Li N","year":"2018","unstructured":"Li N , Wang W T , Wang B S . 2018 . Speeding the nine components cross correlation function calculation using cloud computing and its application on the dataset of ChinaArray -NE Tibet . Earthquake Research in China. 34 ( 2 ): 244 - 257 . Li N, Wang W T, Wang B S. 2018.Speeding the nine components cross correlation function calculation using cloud computing and its application on the dataset of ChinaArray -NE Tibet. Earthquake Research in China.34(2):244-257.","journal-title":"Earthquake Research in China."},{"issue":"16","key":"e_1_3_2_1_5_1","first-page":"1542","article-title":"Passive-source ocean bottom seismograph (OBS) array experiment in South China Sea and data quality analyses[J]","volume":"59","author":"Liu C G","year":"2014","unstructured":"Liu C G , Hua Q F , Pei Y L , 2014 . Passive-source ocean bottom seismograph (OBS) array experiment in South China Sea and data quality analyses[J] . Chinese Science Bulletin. 59 ( 16 ): 1542 - 1552 . Liu C G, Hua Q F, Pei Y L, 2014.Passive-source ocean bottom seismograph (OBS) array experiment in South China Sea and data quality analyses[J]. Chinese Science Bulletin. 59(16):1542-1552.","journal-title":"Chinese Science Bulletin."},{"key":"e_1_3_2_1_6_1","first-page":"90","article-title":"Sampling approaches for applying DBSCAN to large datasets","volume":"116","author":"Diego L C","year":"2019","unstructured":"Diego L C , Alexandre L R , Flavio M V . 2019 . Sampling approaches for applying DBSCAN to large datasets . Pattern Recognition Letters. 116 : 90 - 96 . Diego L C, Alexandre L R, Flavio M V. 2019.Sampling approaches for applying DBSCAN to large datasets. Pattern Recognition Letters.116: 90-96.","journal-title":"Pattern Recognition Letters."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.31695\/IJASRE.2019.33072"},{"key":"e_1_3_2_1_8_1","unstructured":"Bensen G D Barmin M P Levshin A L Lin F Moschetti M P Shapiro N M Yang Y Ritzwoller M H.2006. Processing seismic ambient noise data to obtain reliable broad\u2010band surface wave dispersion measurements. Bull. Seism. Soc. America. (7):1-41.  Bensen G D Barmin M P Levshin A L Lin F Moschetti M P Shapiro N M Yang Y Ritzwoller M H.2006. Processing seismic ambient noise data to obtain reliable broad\u2010band surface wave dispersion measurements. Bull. Seism. Soc. America. (7):1-41."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1029\/2005JB004237"},{"key":"e_1_3_2_1_10_1","first-page":"110","volume-title":"Signal Processing","author":"Nima R","year":"2017","unstructured":"Nima R , Peter G. Using graph clustering to locate sources within a dense sensor array[J] . Signal Processing , 2017 , 132: 110 - 120 . Nima R, Peter G. Using graph clustering to locate sources within a dense sensor array[J]. Signal Processing, 2017, 132: 110-120."},{"issue":"171","key":"e_1_3_2_1_11_1","first-page":"1","article-title":"An improved DBSCAN method for LiDAR data segmentation with automatic Eps estimation","volume":"19","author":"Wang C X","year":"2019","unstructured":"Wang C X , Ji M , Wang J , Wen W , Li T , Sun Y. 2019 . An improved DBSCAN method for LiDAR data segmentation with automatic Eps estimation . Sensors. 19 ( 171 ): 1 - 26 . Wang C X, Ji M, Wang J, Wen W, Li T, Sun Y. 2019.An improved DBSCAN method for LiDAR data segmentation with automatic Eps estimation. Sensors.19(171):1-26.","journal-title":"Sensors."}],"event":{"name":"AISS 2021: 2021 3rd International Conference on Advanced Information Science and System","acronym":"AISS 2021","location":"Sanya China"},"container-title":["Proceedings of the 3rd International Conference on Advanced Information Science and System"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503047.3503121","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503047.3503121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:49Z","timestamp":1750191529000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503047.3503121"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,26]]},"references-count":11,"alternative-id":["10.1145\/3503047.3503121","10.1145\/3503047"],"URL":"https:\/\/doi.org\/10.1145\/3503047.3503121","relation":{},"subject":[],"published":{"date-parts":[[2021,11,26]]},"assertion":[{"value":"2022-01-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}