A Framework for Incorporating a National Maritime Surveillance System into the European Common Information Sharing Environment

Mihailović, Andrej; Kapidani, Nexhat; Kočan, Enis; Lukšić, Žarko; Delgado, David Merino; Antonopoulos, Spyros; Moutzouris, Marios

doi:10.1109/it51528.2021.9390138

Cited by 14 publications

(9 citation statements)

References 1 publication

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“…For instance, mostly exchanged services include collaboration services, vessel details, location and voyage, intervention assets, incident history/event notification, identified risks, cargo and distributed search services. The CISE Data & Services Model is based on XSD (XML Schema Definition) accompanied by UML diagrams (Unified Modelling Language), providing the models for classes and subclasses, related to enumeration of authority and message and service core entities ( [11], [12], [13]).…”

Section: Maritime Cise Initiative and Information Exchangementioning

confidence: 99%

A Maritime Big Data Framework Integration in a Common Information Sharing Environment

Paladin

Kapidani

Lukšić

et al. 2022

2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)

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Ensuring a high level of vessel traffic surveillance and maritime safety is determined by exploiting innovative ICT technologies and international cooperation among maritime authorities. Therefore, initiatives for maritime surveillance, global and regional integrations are realised through a collaborative, cost-effective and interoperable Common Information Sharing Environment (CISE). Consisting of the institutional network of maritime authorities that cooperate on various domains like safety, border control, environmental and rescue missions at sea, CISE enables the efficient transfer and economic exchange of maritime data and information via different interoperable systems using modern digital technologies. The ever-increasing amount of data received from heterogeneous data sources requires specific processing through the adoption of a Big Data framework which hosts, manages and distributes data to maritime users, contributing with great overall benefits to the CISE network core functionality. Specifically, this paper analyses the advantages of the Data Lake infrastructure, including its processes, techniques, tools and applications used to enhance maritime surveillance and safety across the CISE network. This part contains the deployment and interoperability achieved through the components of the participating command and control (C2) systems.Last, as a case study, an overview of the EU project EFFECTOR is provided which aims to demonstrate an end-to-end interoperability framework of data-driven solutions for maritime situational awareness at strategic and tactical operations.

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Section: Maritime Cise Initiative and Information Exchangementioning

confidence: 99%

A Maritime Big Data Framework Integration in a Common Information Sharing Environment

Paladin

Kapidani

Lukšić

et al. 2022

2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)

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“…AMSPM has participated in many regional cooperation schemes in the maritime affairs, e.g. Vessel Traffic Management Information System (VTMIS) with Albania, South Adriatic connectivity projects also including Italy, installation of National Maritime Single Window (NMSW) in Montenegro ( [7][13] [14]) and recent H2020 EU projects COMPASS2020 [2] and RESPOND-A [15] on tools for expedited maritime surveillance and responsivity. In fact, AMSPM just completed a participation in EU H2020 project ANDROMEDA [6][7] [8] working on enhancing the CISE data and services models (eCISE) and conducting trial implementations.…”

Section: A Amspm Position In the Cise Integrationsmentioning

confidence: 99%

Planning a Case for Shared Data Retrieval across the European Maritime Common Information Sharing Environment

Mihailović

Kapidani

Lukšić³

et al. 2022

2022 26th International Conference on Information Technology (IT)

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“…Being enhanced, the CISE Model introduces tasks, mission, operations, movement, maritime anomalies and sensors (AIS, radar, camera). For instance, the maritime risk type identifies crisis, border crossings, areas, vessels collisions, military and environmental risks (Mihailović et al, 2021a and2021b). In general, AI technologies, with their cognitive, forecasting and reasoning functions are intensively developed toward providing greater software support to human operators and agencies, increasing the level of automation in the maritime transport sector.…”

Section: Cise Eu Initiative In Maritime Safetymentioning

confidence: 99%

How to Use Data to Increase Bike Use by Travelers

Exalto-Sijbrands¹,

Baars²,

Wijers³

et al. 2022

35 Th Bled eConference Digital Restructuring and Human (Re)action

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The Government of the Netherlands wants to be energy neutral by 2050 (Rijksoverheid, sd). A transition towards nonfossil energy sources also affects transport, which is one of the industries significantly contributing to CO2 emission (Centraal Bureau Statistiek, 2019). Road authorities at municipalities and provinces want a shift from fossil fuel-consuming to zero emission transport choices by their inhabitants. For this the Province of Utrecht has data available. However, they struggle how to deploy data to positively influence inhabitants’ mobility behavior. A problem analysis scoped the research towards data to stimulate cycling. Three interviews, desk research and a survey revealed the gap between the province’s current data-item approach that is infrastructure oriented and the required approach that adopts traveler’s personas to successfully stimulate cycling. For this more precisely defined captured data is needed and the focus should shift from already motivated cyclists to non-cyclers.

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A Framework for Incorporating a National Maritime Surveillance System into the European Common Information Sharing Environment

Cited by 14 publications

References 1 publication

A Maritime Big Data Framework Integration in a Common Information Sharing Environment

A Maritime Big Data Framework Integration in a Common Information Sharing Environment

Planning a Case for Shared Data Retrieval across the European Maritime Common Information Sharing Environment

How to Use Data to Increase Bike Use by Travelers

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