Now showing items 1-8 of 8

    • Automated port traffic statistics: from raw data to visualization 

      Cazzanti, Luca; Davoli, Antonio; Millefiori, Leonardo (CMRE, 2017/11)
      We describe how we leveraged best practices in big data processing pipeline design and visual analytics to prototype the Maritime Patterns-of-Life Information Service (MPoLIS), an information product currently under ...
    • Decision tree-based adaptive modulation for underwater acoustic communications 

      Pelekanakis, Konstantinos; Cazzanti, Luca; Zappa, Giovanni; Alves, João (CMRE, 2017/11)
      Underwater acoustic channels are characterised by non-stationary fading statistics and consequently, a modulation scheme optimally designed for a specific fading model will underperform when the channel statistics ...
    • A distributed approach to estimating sea port operational regions from lots of AIS data 

      Millefiori, Leonardo; Zissis, Dimitrios; Cazzanti, Luca; Arcieri, Gianfranco (CMRE, 2019/06)
      Seaports play a vital role in the global economy, as they operate as the connection corridors to all other modes of transport and as engines of growth for the wider region. But ports today are faced with numerous unique ...
    • A document-based data model for large scale computational maritime situational awareness 

      Cazzanti, Luca; Millefiori, Leonardo; Arcieri, Gianfranco (CMRE, 2019/06)
      Computational Maritime Situational Awareness (MSA) supports the maritime industry, governments, and international organizations with machine learning and big data techniques for analyzing vessel traffic data available ...
    • Maritime situational awareness use cases enabled by space-borne sensors 

      Millefiori, Leonardo; Vivone, Gemine; Braca, Paolo; Cazzanti, Luca; Bryan, Karna (CMRE, 2019/06)
      This paper discusses a technique for predicting a vessel?s position over a long time horizon with much lower uncertainty than current methods. Lowering the uncertainty of long-range prediction is a key challenge in maritime ...
    • Mining maritime vessel traffic: promises, challenges, techniques 

      Cazzanti, Luca; Pallotta, Giuliana (CMRE, 2019/06)
      This paper discusses machine learning and data mining approaches to analyzing maritime vessel traffic based on the Automated Information System (AIS). We review recent efforts to apply machine learning techniques to AIS ...
    • On adaptive modulation for low SNR underwater acoustic communications 

      Pelekanakis, Konstantinos; Cazzanti, Luca (CMRE, 2019/05)
      This paper deals with adaptive underwater acoustic (UWA) communications where the receiver must operate at low signal-to-noise ratios (SNRs). The proposed modem is equipped with a set of direct sequence spread spectrum ...
    • Scalable and distributed sea port operational areas estimation from AIS data 

      Millefiori, Leonardo; Zissis, Dimitrios; Cazzanti, Luca; Arcieri, Gianfranco (CMRE, 2019/06)
      Seaports are spatial units that do not remain static over time. They are constantly in flux, evolving according to environmental and connectivity patterns both in size and operational capacity. As such any valid decision ...