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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Recommender System for Navigation Safety: Requirements and Methodology
Times cited (SCOPUS): 3
ABSTRACT: Low maneuverability of ships together with growing intensity of marine traffic result in new challenges related to navigation safety. This paper reports a research aimed at design of methodology of operation of recommender systems for navigation safety. First, a specification of requirements to systems of the considered class has been carried out. Based on these, the major principles of functioning of such systems have been defined. The principles were a basis for development of the mentioned above methodology, which is based on the usage of context patterns and characterized by the presence of feedback to update the system’s knowledge base.
REFERENCES
R. van der Meulen, “Gartner Says 6.4 Billion Connected ‘Things’ Will Be in Use in 2016, Up 30 Percent From 2015,” 2015. [Online]. Available: https://www.gartner.com/en/newsroom/press- releases/2015-11-10-gartner-says-6-billion-connected-things-will-be-in-use-in-2016-up-30- percent-from-2015. [Accessed: 26-Mar-2019].
J. Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, and A. Marrs, “Disruptive technologies: Advances that will transform life, business, and the global economy,” 2013.
S. Y. Huang, W. J. Hsu, H. Fang, and T. Song, “MTSS -- A Marine Traffic Simulation System and Scenario Studies for a Major Hub Port,” ACM Trans. Model. Comput. Simul., vol. 27, no. 1, pp. 1– 26, Aug. 2016. - doi:10.1145/2897512
B. Dragović, E. Tzannatos, and N. K. Park, “Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool,” Flex. Serv. Manuf. J., vol. 29, no. 1, pp. 4–34, Mar. 2017. - doi:10.1007/s10696-016-9239-5
S.-L. Kao, K.-Y. Chang, and T.-W. Hsu, “Fuzzy grounding alert system for vessel traffic service via 3D marine GIS,” J. Mar. Sci. Technol., vol. 25, no. 2, pp. 186–195, 2017.
E. Krishnamoorthy, S. Manikandan, M. M. Shalik, and M. Kumarasamy, “Border alert system and emergency contact for fisherman using GPS,” Int. J. Res. Eng., vol. 4, no. 3, pp. 66–68, 2017.
E. Pratiwi, K. B. Artana, and A. A. B. Dinariyana, “Fuzzy Inference System for Determining Collision Risk of Ship in Madura Strait Using Automatic Identification System,” Int. J. Mar. Environ. Sci., vol. 11, no. 2, pp. 401–405, 2017.
“Mobileye,” 2019. [Online]. Available: https://www.mobileye.com/. [Accessed: 26-Mar-2019].
A. Taramov and N. Shilov, “A systematic review of proactive driver support systems and underlying technologies,” in 2017 20th Conference of Open Innovations Association (FRUCT), 2017, pp. 448– 459. - doi:10.23919/FRUCT.2017.8071347
Harman, “Advanced Driver Assistance Systems,” 2019. [Online]. Available: https://car.harman.com/solutions/ advanced-driver-assistance-systems. [Accessed: 26-Mar- 2019].
A. Smirnov, T. Levashova, N. Shilov, and A. Kashevnik, “Hybrid technology for self-organization of resources of pervasive environment for operational decision support,” Int. J. Artif. Intell. Tools, vol. 19, no. 2, pp. 211–229, 2010. - doi:10.1142/S0218213010000121
A. K. Dey, G. D. Abowd, and D. Salber, “A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications,” Human–Computer Interact., vol. 16, no. 2–4, pp. 97–166, Dec. 2001. - doi:10.1207/S15327051HCI16234_02
H. Dibowski, “Semantic interoperability evaluation model for devices in automation systems,” in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017, pp. 1–6. - doi:10.1109/ETFA.2017.8247709
P.-P. J. Beaujean, E. A. Carlson, J. Spruance, and D. Kriel, “HERMES - A high-speed acoustic modem for real-time transmission of uncompressed image and status transmission in port environment and very shallow water,” in OCEANS 2008, 2008, pp. 1–9. - doi:10.1109/OCEANS.2008.5151835
D. Locke, “MQ Telemetry Transport (MQTT) V3.1 Protocol Specification,” 2010.
J. Rodríguez-Molina, B. Martínez, S. Bilbao, and T. Martín-Wanton, “Maritime Data Transfer Protocol (MDTP): A Proposal for a Data Transmission Protocol in Resource-Constrained Underwater Environments Involving Cyber-Physical Systems,” Sensors, vol. 17, no. 6, p. 1330, Jun. 2017. - doi:10.3390/s17061330
W3C, “SOAP Version 1.2 Part 1: Messaging Framework (Second Edition),” W3C Recommendation, 2007. [Online]. Available: https://www.w3.org/TR/soap12/. [Accessed: 26-Mar-2019].
W3C, “Extensible Markup Language (XML) 1.0 (Fifth Edition),” W3C Recommendation, 2008. [Online]. Available: https://www.w3.org/TR/xml/. [Accessed: 26-Mar-2019].
ECMA-International, “The JSON Data Interchange Syntax,” 2017. [Online]. Available: http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-404.pdf. [Accessed: 26- Mar-2019].
P. G. Larsen, J. Fitzgerald, J. Woodcock, R. Nilsson, C. Gamble, and S. Foster, “Towards Semantically Integrated Models and Tools for Cyber-Physical Systems Design,” in ISoLA 2016: Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications. Lecture Notes in Computer Science, Springer, 2016, pp. 171–186. - doi:10.1007/978-3-319-47169-3_13
G. De Giacomo, D. Lembo, M. Lenzerini, A. Poggi, and R. Rosati, “Using Ontologies for Semantic Data Integration,” in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, Springer, 2018, pp. 187–202. - doi:10.1007/978-3-319-61893-7_11
Z. Wang, N. Chen, W. Zhang, F. Pu, and C. Du, “Semantic integration of wireless sensor networks into open geospatial consortium sensor observation service to access and share environmental monitoring systems,” IET Softw., vol. 10, no. 2, pp. 45–53, Apr. 2016. - doi:10.1049/iet-sen.2014.0141
F. Carrez, T. Elsaleh, D. Gomez, L. Sanchez, J. Lanza, and P. Grace, “A Reference Architecture for federating IoT infrastructures supporting semantic interoperability,” in 2017 European Conference on Networks and Communications (EuCNC), 2017, pp. 1–6. - doi:10.1109/EuCNC.2017.7980765
A. Gyrard, S. K. Datta, and C. Bonnet, “A survey and analysis of ontology-based software tools for semantic interoperability in IoT and WoT landscapes,” in 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 2018, pp. 86–91. - doi:10.1109/WF-IoT.2018.8355091
K. Sandkuhl and A. Smirnov, “Context-oriented Knowledge Management in Production Networks,” Appl. Comput. Syst., vol. 23, no. 2, pp. 81–89, Dec. 2018. - doi:10.2478/acss-2018-0011
A. Smirnov, K. Sandkuhl, N. Shilov, and N. Teslya, “Service Self-Contextualization in Cyber-Physical Systems based on Context Modeling and Context Variation,” in Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference Perspectives in Business Informatics Research (BIR 2018), 2018, pp. 94–105.
Citation note:
Shilov N.: Recommender System for Navigation Safety: Requirements and Methodology. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 14, No. 2, doi:10.12716/1001.14.02.18, pp. 405-410, 2020

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