000011109 001__ 11109
000011109 005__ 20240625161605.0
000011109 245__ $$aDigital Initiatives, Infrastructures and Data Ecosystems in the Maritime Sector
000011109 269__ $$a2019-11-05
000011109 336__ $$aConference Proceedings
000011109 520__ $$aEfficiency, performance and monitoring of vessels becomes of paramount importance around the globe. Assets security, vessels efficiency, new directives and legislation with regard to emissions quality and many others, urge the global maritime industry to take the right initiatives and make the appropriate investments to develop data ecosystems, that over time, if used intelligently, coherently and consistently, will allow owners and managers to reap tangible benefits such as, among others, significant cost savings, better vessel management and longer vessel life span. As of today, most shipowners and related stakeholders face huge challenges when it comes to data collection, processing, streaming, sharing and storage. Relevant data, if any, is isolated in distinct silos, in spurious and inconsistent formats with little or non-existent interconnectivity between such silos or storage mechanisms. In effect, to face the new challenging landscape, a fresh mindset and an open-minded approach is required. The paper uses data and relevant building blocks, related to vessel performance, assets tracking, route planning, engine monitoring, fuel consumptions, emissions quality, vessels tracking, performance alarms and notifications; that is a wide variety of data modules and reporting tools, that eventually serve pure reporting, real-time monitoring and visualization objectives; but also some additional, more powerful modules being used for analytics and strategic decision making. Such modules can leverage on historical data being captured over prolonged time periods, in the various interrelated data sources and by the relevant data collectors and, if deployed effectively, to construct supervised, unsupervised or even semi-supervised machine learning models. 
000011109 542__ $$aCC-BY-4.0
000011109 7001_ $$aTheodossiou, S
000011109 7001_ $$aSingh Rainu, N
000011109 773__ $$tConference Proceedings of ICMET
000011109 773__ $$jICMET 2019
000011109 8564_ $$92cd3dc0e-8aa0-489d-bc5c-3ecd4203ee86$$s2225010$$uhttps://library.imarest.org/record/11109/files/Paper%2017%20-%20Digital%20Initiatives%2C%20Infrastructures%20and%20Data%20Ecosystems%20in%20the%20Maritime.pdf