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dc.contributor.authorPerera, Lokukaluge Prasad
dc.contributor.authorCzachorowski, Karen Vanessa
dc.date.accessioned2020-04-02T11:49:28Z
dc.date.available2020-04-02T11:49:28Z
dc.date.issued2019-10-14
dc.description.abstractData driven networks applicable for shipping industrial applications to create decentralized system intelligence are considered in this study. Such system intelligence can facilitate to improve the respective operational efficiency in local (i.e. vessel operations) and global (i.e. logistics operations) scales in shipping as the main advantage. The main features of these data driven networks are summarized in the first part of this study. Two applications of digital models and blockchain technologies are discussed and compared with their features to illustrate their similarities and differences in the second part of this study. A digital model represents a vector based mathematical structure derived from ship performance and navigation data sets and has categorized as a low-level information model. It is also believed that the respective data sets from industrial IoT (internet of things) should go through such low-level models to improve their quality. These data driven networks can be used to quantify ship performance and navigation conditions, where the outcome can also be used to improve vessel energy efficiency and reduce engine emissions in a local scale. A blockchain represents a decentralized, distributed and digital ledger system in a public domain and can handle and record transactions executed by many users. That has categorized as a high-level information model due the high quality data sets from industrial processes that these networks are handling. Such data driven networks can be used to formulate various logistics operations in shipping and optimize their operational conditions in a global scale. The outcomes of these data driven networks can be used to improve operational efficiency and reduce the respective costs in the shipping industry.en_US
dc.identifier.citationPerera, L.P.; Czachorowski, K.V.(2019) Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies.<i> Proceedings of OCEANS 2019 - Marseille, 2019</i>, IEEE. http://dx.doi.org/10.1109/OCEANSE.2019.8867045en_US
dc.identifier.cristinIDFRIDAID 1740597
dc.identifier.doi10.1109/OCEANSE.2019.8867045
dc.identifier.isbn9781728114507
dc.identifier.urihttps://hdl.handle.net/10037/17984
dc.language.isoengen_US
dc.publisherIEEE (Institute of Electrical and Electronical Engineers)en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holder© Copyright 2019 IEEE - All rights reserveden_US
dc.subjectVDP::Technology: 500::Marine technology: 580::Ship technology: 582en_US
dc.subjectVDP::Teknologi: 500::Marin teknologi: 580::Skipsteknologi: 582en_US
dc.titleDecentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologiesen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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