{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:30:42Z","timestamp":1761060642604,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,4]],"date-time":"2018-09-04T00:00:00Z","timestamp":1536019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61735013","61402345"],"award-info":[{"award-number":["61735013","61402345"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>To detect perimeter intrusion accurately and quickly, a stream computing technology was used to improve real-time data processing in perimeter intrusion detection systems. Based on the traditional density-based spatial clustering of applications with noise (T-DBSCAN) algorithm, which depends on manual adjustments of neighborhood parameters, an adaptive parameters DBSCAN (AP-DBSCAN) method that can achieve unsupervised calculations was proposed. The proposed AP-DBSCAN method was implemented on a Spark Streaming platform to deal with the problems of data stream collection and real-time analysis, as well as judging and identifying the different types of intrusion. A number of sensing and processing experiments were finished and the experimental data indicated that the proposed AP-DBSCAN method on the Spark Streaming platform exhibited a fine calibration capacity for the adaptive parameters and the same accuracy as the T-DBSCAN method without the artificial setting of neighborhood parameters, in addition to achieving good performances in the perimeter intrusion detection systems.<\/jats:p>","DOI":"10.3390\/s18092937","type":"journal-article","created":{"date-parts":[[2018,9,5]],"date-time":"2018-09-05T03:08:55Z","timestamp":1536116935000},"page":"2937","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Signal Processing for Time Domain Wavelengths of Ultra-Weak FBGs Array in Perimeter Security Monitoring Based on Spark Streaming"],"prefix":"10.3390","volume":"18","author":[{"given":"Zhenhao","family":"Yu","sequence":"first","affiliation":[{"name":"National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China"},{"name":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China"}]},{"given":"Fang","family":"Liu","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China"},{"name":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China"}]},{"given":"Yinquan","family":"Yuan","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China"}]},{"given":"Sihan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4600-2795","authenticated-orcid":false,"given":"Zhengying","family":"Li","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China"},{"name":"School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,4]]},"reference":[{"key":"ref_1","first-page":"12001","article-title":"Research progress in online preparation techniques of fiber Bragg gratings on optical fiber drawing tower","volume":"45","author":"Yu","year":"2014","journal-title":"J. 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