Normalization of maritime accident data using AIS

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey

The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth of information useful for maritime safety, security and efficiency. This paper surveys AIS data sources and relevant aspects of navigation in which such data ...

cDNA Microarray Data Normalization

Inter-channel interference rejection for maritime AIS system

We study inter-channel interferences in VHF transmissions for the maritime automatic identification system and propose solutions to avoid them. The inter-channel interference is caused by the brevity of SOTDMA frames used by ships to transmit their position. In order to avoid the spreading of the spectrum, two solutions are considered. A Tukey window is first used to avoid a too hard transition...

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining

In recent years, maritime safety and efficiency become more and more important across the world. Automatic Identification System (AIS) tracks vessel movement by onboard transceiver and terrestrial and/or satellite base station. The data collected by AIS contains broadcast kinematic information and static information. Both of them are useful for anomaly detection and route prediction which are k...

Data Mining of Causal Relations from Text: Analysing Maritime Accident Investigation Reports

Text mining is a process of extracting information of interest from text. Such a method includes techniques from various areas such as Information Retrieval (IR), Natural Language Processing (NLP), and Information Extraction (IE). In this study, text mining methods are applied to extract causal relations from maritime accident investigation reports collected from the Marine Accident Investigati...