Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title Anomaly detection on flight route using similarity and grouping approach based-on automatic dependent surveillance-broadcast
 
Creator Pusadan, Mohammad Yazdi
Buliali, Joko Lianto
Ginardi, Raden Venantius Hari
 
Subject Segment; Log-likelihood ratio; Grouping similarity; Accuracy; Anomaly detection
 
Description Flight anomaly detection is used to determine the abnormal state data on the flight route. This study focused on two groups: general aviation habits (C1)and anomalies (C2). Groups C1 and C2 are obtained through similarity test with references. The methods used are: 1) normalizing the training data form, 2) forming the training segment 3) calculating the log-likelihood value and determining the maximum log-likelihood (C1) and minimum log-likelihood (C2) values, 4) determining the percentage of data based on criteria C1 and C2 by grouping SVM, KNN, and K-means and 5) Testing with log-likelihood ratio. The results achieved in each segment are Log-likelihood value in C1Latitude is -15.97 and C1Longitude is -16.97. On the other hand, Log-likelihood value in C2Latitude is -19.3 (maximum) and -20.3 (minimum), and log-likelihood value in C2Longitude is -21.2 (maximum) and -24.8 (minimum). The largest percentage value in C1 is 96%, while the largest in C2 is 10%. Thus, the highest potential anomaly data is 10%, and the smallest is 3%. Also, there are performance tests based on F-measure to get accuracy and precision.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2019-11-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/232
10.26555/ijain.v5i3.232
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 3 (2019): November 2019; 285-296
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/232/ijain_v5i3_p285-296
http://ijain.org/index.php/IJAIN/article/downloadSuppFile/232/54
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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