Adaptive Information Visualization for Maritime Traffic Stream Sensor Data with Parallel Context Acquisition and Machine Learning

Excessive information significantly increases the mental burden on operators of critical monitoring services such as maritime and air traffic control. In these fields, vessels and aircraft have sensors that transmit data to a control center. Because of the large volume of collected data, it is infea...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 19; číslo 23; s. 5273
Hlavní autori:	Kim, Kwang-il, Lee, Keon Myung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 29.11.2019 MDPI
Predmet:	Information overload Information systems Machine learning Questionnaires Roads & highways Sensors Traffic control Wireless networks stream data vessel traffic service maritime traffic stream sensor data context-aware service big data distributed and parallel processing
ISSN:	1424-8220, 1424-8220
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