{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:52:13Z","timestamp":1743126733832,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030624590"},{"type":"electronic","value":"9783030624606"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62460-6_33","type":"book-chapter","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T10:03:00Z","timestamp":1605002580000},"page":"370-383","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Accurate Seismic Events Detection Using Motion Sensors on Smartphones"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8387-1906","authenticated-orcid":false,"given":"Qingping","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2455-3040","authenticated-orcid":false,"given":"Yuqin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8337-992X","authenticated-orcid":false,"given":"Mei","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4790-3499","authenticated-orcid":false,"given":"Zhaohui","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,11]]},"reference":[{"issue":"2","key":"33_CR1","doi-asserted-by":"publisher","first-page":"e1501055","DOI":"10.1126\/sciadv.1501055","volume":"2","author":"Q Kong","year":"2016","unstructured":"Kong, Q., Allen, R.M., Schreier, L., et al.: MyShake: a smartphone seismic network for earthquake early warning and beyond. Sci. Adv. 2(2), e1501055 (2016)","journal-title":"Sci. Adv."},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Cochran, E.S., Lawrence, J.F., Christensen, C., Jakka, R.S.: The quake-catcher network: citizen science expanding seismic horizons. Seismol. Res. Lett. 80, 26\u201330 (2009)","DOI":"10.1785\/gssrl.80.1.26"},{"key":"33_CR3","unstructured":"Faulkner, M., Olson, M., Chandy, R., Krause, J., Chandy, K.M., Krause, A.: The next big one: detecting earthquakes and other rare events from community-based sensors. In: International Conference on Information Processing in Sensor Networks, pp. 13\u201324 (2011)"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Moumni, B., Frias-Martinez, V., Frias-Martinez, E.: Characterizing social response to urban earthquakes using cell-phone network data: the 2012 Oaxaca earthquake. In: 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, pp. 1199\u20131208. ACM (2013)","DOI":"10.1145\/2494091.2497350"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Wilson, R., zu Erbach-Schoenberg, E., Albert, M., Power, D., et al.: Rapid and near real-time assessments of population displacement using mobile phone data following disasters, the 2015 Nepal earthquake. PLOS Curr. 1(8), 1 (2016)","DOI":"10.1371\/currents.dis.d073fbece328e4c39087bc086d694b5c"},{"key":"33_CR6","unstructured":"Wald, D.J., Quitoriano, V., Worden, C.B., Hopper, M., Dewey, J.W.: USGS did you feel it? Internet-based macroseismic intensity maps. Ann. Geophys. 54(6), 688\u2013709 (2012)"},{"key":"33_CR7","unstructured":"Dashti, S., et al.: iShake: using personal devices to deliver rapid semi-qualitative earthquake shaking information. GeoEng. Rep. 28, 1\u201351 (2011)"},{"key":"33_CR8","unstructured":"Withers, M., et al.: A comparison of select trigger algorithms for automated global seismic phase and event detection. Bull. Seismol. Soc. Am. 88(1), 95\u2013106 (1998)"},{"key":"33_CR9","unstructured":"Allen, R.V.: Automatic earthquake recognition and timing from single traces. Bull. Seismol. Soc. Am. 68(5), 1521\u20131532 (1978)"},{"key":"33_CR10","doi-asserted-by":"crossref","unstructured":"Sleeman, R., Van Eck, T.: Robust automatic P-phase picking: an on-line implementation in the analysis of broadband seismogram recordings. Phys. Earth Planet. Inter. 113(1\u20134), 265\u2013275 (1999)","DOI":"10.1016\/S0031-9201(99)00007-2"},{"key":"33_CR11","unstructured":"Zhang, H., Thurber, C., Rowe, C.: Automatic P-wave arrival detection and picking with multiscale wavelet analysis for single-component recordings. Bull. Seismol. Soc. Am. 93(5), 1904\u20131912 (2003)"},{"key":"33_CR12","unstructured":"Clayton, R.W., Heaton, T., Chandy, M., et al.: Community seismic network. Ann. Geophys. 54(6), 738\u2013747 (2012)"},{"key":"33_CR13","unstructured":"Earle, P.S., Bowden, D.C., Guy, M.: Twitter earthquake detection: earthquake monitoring in a social world. Ann. Geophys. 54(6), 708\u2013715 (2012)"},{"key":"33_CR14","unstructured":"Qiang, M.: Study and application on earthquake early warning, pp. 305\u2013318 (2008)"},{"key":"33_CR15","unstructured":"Earle, P.S., Shearer, P.M.: Characterization of global seismograms using an automatic-picking algorithm. Bull. Seismol. Soc. Am. 84(2), 366\u2013376 (1994)"},{"key":"33_CR16","unstructured":"Shan, L.: Automatic P-arrival detection for earthquake early warning. Chin. J. Geophys. 56(7), 2313\u20132321 (2013)"},{"key":"33_CR17","series-title":"Springer Series in Statistics (Perspectives in Statistics)","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1007\/978-1-4612-1694-0_29","volume-title":"Selected Papers of Hirotugu Akaike","author":"H Akaike","year":"1987","unstructured":"Akaike, H.: Factor analysis and AIC. In: Parzen, E., Tanabe, K., Kitagawa, G. (eds.) Selected Papers of Hirotugu Akaike. Springer Series in Statistics (Perspectives in Statistics), pp. 371\u2013386D. Springer, New York (1987). https:\/\/doi.org\/10.1007\/978-1-4612-1694-0_29"},{"key":"33_CR18","volume-title":"Distributed Detection and Data Fusion","author":"PK Varshney","year":"2012","unstructured":"Varshney, P.K.: Distributed Detection and Data Fusion. Springer, New York (2012)"},{"key":"33_CR19","unstructured":"Tan, R., Xing, G., Wang, J., So, H.C.: Exploiting reactive mobility for collaborative target detection in wireless sensor networks. IEEE Trans. Mob. Comput. 9(3), 317\u2013332 (2009)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning for Cyber Security"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62460-6_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T10:33:37Z","timestamp":1605004417000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-62460-6_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030624590","9783030624606"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62460-6_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"11 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ML4CS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning for Cyber Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ml4cs2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/nsclab.org\/ml4cs2020\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"360","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"118","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}