Optimum partition in flight route anomaly detection
| Autor: | Raden Venantius Hari Ginardi, Joko Lianto Buliali, Mohammad Yazdi Pusadan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020301 aerospace & aeronautics
0209 industrial biotechnology Control and Optimization Automatic dependent surveillance-broadcast Computer Networks and Communications 02 engineering and technology Partition (database) Identification rate 020901 industrial engineering & automation 0203 mechanical engineering Hardware and Architecture Signal Processing Anomaly detection Timestamp Electrical and Electronic Engineering Cluster analysis Algorithm Flight data Information Systems Mathematics |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 14:1315 |
| ISSN: | 2502-4760 2502-4752 |
| DOI: | 10.11591/ijeecs.v14.i3.pp1315-1329 |
| Popis: | Anomaly detection of flight route can be analyzed with the availability of flight data set. Automatic Dependent Surveillance (ADS-B) is the data set used. The parameters used are timestamp, latitude, longitude, and speed. The purpose of the research is to determine the optimum area for anomaly detection through real time approach. The methods used are: a) clustering and cluster validity analysis; and b) False Identification Rate (FIR). The results archieved are four steps, i.e: a) Build segments based on waypoints; b) Partition area based on 3-Dimension features P1 and P2; c) grouping; and d) Measurement of cluster validity. The optimum partition is generated by calculating the minimum percentage of FIR. The results achieved are: i) there are five partitions, i.e: (n/2, n/3, n/4, n/5) and ii) optimal partition of each 3D, that is: for P1 was five partitions and the P2 feature was four partitions |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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