Strengthening the capacity for excellence of Slovenian and Croatian innovation ecosystems to support the digital and green transitions of maritime regions

Informations projet

INNO2MARE

N° de convention de subvention: 101087348

DOI

10.3030/101087348

Date de signature de la CE 10 Novembre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Widening participation and spreading excellence

Coût total

€ 4 985 150,00

Contribution de l’UE

€ 4 985 150,00

Coordonné par

UNIVERZA V LJUBLJANI
Slovenia

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Data Management Plan (1)

D1.1 Data Management Plan - first version

DMP - Data Management Plan represents a report comprising information on project data generation, collection and processing. This deliverable will be the output of Task 1.1 and will be formulated (in line with the EC Guidelines on FAIR Data Management) from the early stages of the project (M6 to be updated on M48 as final version), describing the data management life cycle of the data to be collected, processed and/or generated by the project and laying out the approach for their sound and FAIR management. It will evolve during the lifespan of the project as a living document and provide details on the data (schemas, datasets, etc.) as well as their management (what type of data, how the data will be collected, shared, handled and preserved according to GDPR), ensuring that all aspects of data handling, treatment, reporting and access are clear to partners.

Documents, reports (3)

D2.1 Report on ecosystems’ mapping

Mapping the ecosystems: actors, roles, activities, collaborative and competitive links. The resulting report will provide information on various actors’ roles in the ecosystems, where each of the actors can have more than one role. Also, missing roles and links will be identified. The task will include desk research, database search and exercises with different identified actors using an innovation ecosystem canvas tool.

D1.3 Quality Assurance plan including gender monitoring

Quality Assurance plan including Gender and Equal Opportunities monitoring procedures containing reporting and review guidelines, checklists and templates, describing how the gender and equal opportunities aspects of the project will be monitored. Quality Assurance Committee will be established, appointed by Management Board (MB); responsible for review of project deliverables and other outputs for conformity with the project plan before the submission to EC.

D2.2 Report on innovation ecosystems’ needs

The common and distinct R&I needs, gaps, challenges & opportunities as well as innovative performance enablers and inhibitors for the two place-based ecosystems’ (Western Slovenia and Adriatic Croatia) will be assessed in detail through a series of workshops with ecosystem stakeholders aimed to collect their views on the best practices, unmet needs and possible solutions.

Publications

Peer reviewed articles (10)

Exploring the Perceived Ease of Use of an Immersive VR Engine Room Simulator among Maritime Students: A Segmentation Approach

Auteurs: David Bačnar; Demir Barić; Dario Ogrizović
Publié dans: Applied Sciences, 2024, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/APP14188208

Application of VR Technology for Maritime Firefighting and Evacuation Training - A Review

Auteurs: Goran Vukelic, Dario Ogrizovic, Dean Bernecic, Darko Glujic, Goran Vizentin
Publié dans: Journal of Marine Science and Engineering, 2023, ISSN 2077-1312
Éditeur: MDPI
DOI: 10.3390/jmse11091732

A Bayesian and Markov chain approach to short-term and long-term personal watercraft trajectory forecasting

Auteurs: Lucija Žužić, Ivan Dražić, Loredana Simčić, Franko Hržić, Jonatan Lerga
Publié dans: Journal of the Franklin Institute, Numéro 362, 2025, ISSN 0016-0032
Éditeur: Elsevier BV
DOI: 10.1016/J.JFRANKLIN.2025.107509

Detection of motor imagery based on short-term entropy of time-frequency representations

Auteurs: Luka, Batistić; Jonatan, Lerga; Isidora, Stanković
Publié dans: BioMedical Engineering, Numéro 2023, OnLine, Vol 22, Iss 1, Pp 1-23, 2023, ISSN 1475-925X
Éditeur: BioMed Central
DOI: 10.1186/s12938-023-01102-1

Application of Raycast Method for Person Geolocalization and Distance Determination Using Uav Images in Real-World Land Search and Rescue Scenarios

Auteurs: Goran Paulin; Sasa Sambolek; Marina Ivasic-Kos
Publié dans: Expert Systems with Applications, Numéro 2024, Volume 237, Part A, 1 March 2024, 121495, 2024, ISSN 1873-6793
Éditeur: 0957-4174/© 2023 Elsevier Ltd.
DOI: 10.1016/j.eswa.2023.121495

Integrating Digital Twin Technology to Achieve Higher Operational Efficiency and Sustainability in Manufacturing Systems

Auteurs: Resman, Matevž; Herakovič, Niko; Debevec, Mihael
Publié dans: Systems, Numéro 180, 2025, ISSN 2079-8954
Éditeur: MDPI
DOI: 10.3390/SYSTEMS13030180

Algorithms

Auteurs: Hugo Zupan; Niko Herakovič; Janez Žerovnik
Publié dans: Algorithms, Numéro 568, 2024, ISSN 1999-4893
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/A17120568

Estimation of sea state parameters from ship motion responses using attention-based neural networks

Auteurs: Denis Selimovic, Franko Hrzic, Jasna Prpic-Orsic, Jonatan Lerga
Publié dans: Ocean Engineering, Numéro 2023, Volume 281, 114915, 2023, ISSN 1873-5258
Éditeur: Elsevier
DOI: 10.1016/j.oceaneng.2023.114915

Coupling CFD and VR for advanced firefighting training in a virtual ship engine room

Auteurs: Darko Glujic, Goran Vukelic, Dean Bernecic, Goran Vizentin, Dario Ogrizovic
Publié dans: Results in Engineering, Numéro 24, 2025, ISSN 2590-1230
Éditeur: Elsevier BV
DOI: 10.1016/J.RINENG.2024.103025

Forecasting the trajectory of personal watercrafts using models based on recurrent neural networks

Auteurs: Lucija Žužić, Franko Hržić, Jonatan Lerga
Publié dans: Expert Systems with Applications, Numéro 284, 2025, ISSN 0957-4174
Éditeur: Elsevier BV
DOI: 10.1016/J.ESWA.2025.127964

Conference proceedings (4)

Evaluating YOLOV5, YOLOV6, YOLOV7, and YOLOV8 in Underwater Environment: Is There Real Improvement?

Auteurs: Boris Gašparović, Goran Mauša, Josip Rukavina, Jonatan Lerga
Publié dans: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), 2023
Éditeur: IEEE
DOI: 10.23919/SPLITECH58164.2023.10193505

Advanced CFD Fire Model in Ship Engine Room with VR Integration

Auteurs: Darko Glujic, Goran Vizentin, Gorak Vukelic, Dean Bernecic, Dario Ogrizovic
Publié dans: Proceedings of The International Association of Maritime Universities (IAMU) Conference, 2024, ISSN 2706-6762
Éditeur: International Association of Maritime Universities

Coupling CFD and VR for Advanced Fire Training in Ship Engine Room

Auteurs: Goran Vizentin, Darko Glujic, Goran Vukelic, Dean Bernecic, Dario Ogrizovic
Publié dans: Proceedings of The International Association of Maritime Universities (IAMU) Conference, 2023, ISSN 2706-6762
Éditeur: International Association of Maritime Universities

SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles

Auteurs: Trinh, Linh; Anwar, Ali; Mercelis, Siegfried
Publié dans: 2024, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, ISSN 2472-6737
Éditeur: Cornel University, arXiv
DOI: 10.48550/arXiv.2311.11580