• Ship Performance and Navigation Data Compression and Communication under Autoencoder System Architecture 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-04-21)
      Modern vessels are designed to collect, store and communicate large quantities of ship performance and navigation information through complex onboard data handling processes. That data should be transferred to shore based data centers for further analysis and storage. However, the associated transfer cost in large-scale data sets is a major challenge for the shipping industry, today. The same cost ...
    • Ship Performance and Navigation Information under High Dimensional Digital Models 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-03-04)
      Future vessels will be facilitated by modern internet of things to collect various ship performance and navigation information. Such information is collected as large-scale data sets, the so-called Big Data, that should be utilized towards digitalization of the shipping industry. However, various data handling challenges are encountered by the shipping industry during the phase of digitalization, ...
    • Ship speed power performance under relative wind profiles in relation to sensor fault detection 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-19)
      Statistical Data analysis and visualization approaches to identify ship speed power performance under relative wind (i.e. apparent wind) profiles are considered in this study. Ship performance and navigation data of a selected vessel are analyzed, where various data anomalies, i.e. sensor related erroneous data conditions, are identified. Those erroneous data conditions are investigated and several ...