A data analytics, decision support and circular economy – based multi-layer optimisation platform towards a holistic energy efficiency, fuel consumption and emissions management of vessels

Informazioni relative al progetto

SmartShip

ID dell’accordo di sovvenzione: 823916

DOI

10.3030/823916

Progetto chiuso

Data della firma CE 25 Settembre 2018

Data di avvio 1 Aprile 2019

Data di completamento 31 Marzo 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 1 472 000,00

Contributo UE

€ 1 472 000,00

Coordinato da

DANAOS SHIPPING COMPANY LIMITED
Cyprus

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Demonstrators, pilots, prototypes (4)

Decision support module and multi-layer optimization tools and technologies
Integrated SmartShip framework
Overall Smartship framework demonstration/exhibition activity

Overall Smartship framework demonstration/exhibition activity, including project’s communication channels (website, social media accounts)

Report on final pilot design and implementation

Documents, reports (4)

Third year progress report
SmartShip circular economy-based functional architecture

SmartShip circular economybased functional architecture

SmartShip requirements analysis, scenarios and KPIs definition

SmartShip requirements analysis scenarios and KPIs definition

First year progress report including initial exploitation, dissemination and training plans

First year progress report including initial exploitation dissemination and training plans

Other (1)

Mid-term project meeting

Midterm project meeting

Pubblicazioni

Conference proceedings (2)

Circular Business Models & Technologies for a circular transition of containership companies

Autori: Vlatka Katusic, Giorgos Demetriou, Hernan Ruiz Ocampo, Fotis Oikonomou
Pubblicato in: New Business Models Conference Proceedings 2023, 2023
Editore: Maastricht University
DOI: 10.26481/mup.2302.23

A real-time trajectory classification module

Autori: Ioannis Kontopoulos, Antonios Makris, and Konstantinos Tserpes
Pubblicato in: 2023
Editore: Association for Computing Machinery
DOI: 10.1145/3615885.3628005

Peer reviewed articles (8)

A distributed framework for extracting maritime traffic patterns

Autori: Ioannis Kontopoulos, Iraklis Varlamis, Konstantinos Tserpes
Pubblicato in: International Journal of Geographical Information Science, 2020, Pagina/e 1-26, ISSN 1365-8816
Editore: Taylor & Francis
DOI: 10.1080/13658816.2020.1792914

A Comparison of Trajectory Compression Algorithms Over AIS Data

Autori: Antonios Makris, Ioannis Kontopoulos, Panagiotis Alimisis, Konstantinos Tserpes
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 92516 - 92530, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3092948

AIS-Enabled Weather Routing for Cargo Loss Prevention

Autori: Kalliopi Spyrou-Sioula; Ioannis Kontopoulos; Dimitrios Kaklis; Antonios Makris; Konstantinos Tserpes; Pavlos Eirinakis; Fotis Oikonomou
Pubblicato in: Journal of Marine Science and Engineering; Volume 10; Numero 11; Pages: 1755, 2022, ISSN 2077-1312
Editore: MDPI
DOI: 10.3390/jmse10111755

A Deep Learning Streaming Methodology for Trajectory Classification

Autori: Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes
Pubblicato in: International Journal of geo information, Numero 4, 2021, ISSN 2220-9964
Editore: MDPI
DOI: 10.3390/ijgi10040250

TraClets: A trajectory representation and classification library

Autori: Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes
Pubblicato in: SoftwareX, 2023, ISSN 2352-7110
Editore: Elsevier
DOI: 10.1016/j.softx.2023.101306

MongoDB Vs PostgreSQL: A comparative study on performance aspects

Autori: Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimitrios Zissis, Dimosthenis Anagnostopoulos
Pubblicato in: GeoInformatica, 2020, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-020-00407-w

Evaluating the effect of compressing algorithms for trajectory similarity and classification problems

Autori: Antonios Makris, Camila Leite da Silva, Vania Bogorny, Luis Otavio Alvares, Jose Antonio Macedo, Konstantinos Tserpes
Pubblicato in: GeoInformatica, 2021, ISSN 1384-6175
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10707-021-00434-1

Performance Analysis of Storage Systems in Edge Computing Infrastructures

Autori: Antonios Makris; Ioannis Kontopoulos; Evangelos Psomakelis; Stylianos Nektarios Xyalis; Theodoros Theodoropoulos; Konstantinos Tserpes
Pubblicato in: Applied Sciences; Volume 12; Numero 17; Pages: 8923, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12178923

Book chapters (1)

Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection

Autori: Ioannis Kontopoulos, Iraklis Varlamis, Konstantinos Tserpes
Pubblicato in: Multiple-Aspect Analysis of Semantic Trajectories - First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceedings, Numero 11889, 2020, Pagina/e 6-20, ISBN 978-3-030-38080-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-38081-6_2