The optimum assessment of the information systems of shipboard hardware reliability in cloud services

Authors

DOI:

https://doi.org/10.55056/cte.115

Keywords:

cloud services, electronic learning, shipboard navigation and information system, probability of navigation equipment failure, service reliability

Abstract

The world wide pandemic situation revealed the problems in all spheres of human life which haven’t been faced before. Recently the world has changed greatly as well as the relationship between people and their professional activity. The great bunch of the workload, if basically acceptable, is done with the use of modern innovative technologies. Such problems have not trampled down the sphere of higher education as well. Distance learning, which was previously addressed to only as accompanying possibility of lessons conduct, nowadays is considered to be the only practicable form of conducting lectures, practical lessons, tests, i.e. it has become a usual daily practice for both teachers and students.
Among the basic functional requirements to the electronic educational resources in the system of distance learning there are the visualization and interaction principles both when getting familiar with the theoretical material and when completing virtual laboratory and practical tasks.
The Microsoft Office documents have become the most widespread elements among the electronic educational resources. That is why there is a pressing need in presenting the electronic MS Excel spreadsheets on the resource web-pages.
The simple and convenient way to solve the problem of Excel documents introduction into the electronic resources of the distance learning systems is the use of cloud services. The services help to acquire the access to the information resources of any level and of any capacity with the possibility to allocate the rights of the users belonging to different groups in relation to the resources. For that purpose the availability of the Internet network access and web-browser would be enough.
The cloud calculation technologies introduction allows for the use of the programs that do not require special licensing, update versions monitoring and eliminates the need of software technical support as the provider himself exercises control over the functioning, data saving, antivirus protection and possible cyberassaults.
The peculiarities of professional training of navigators require the students to acquire the knowledge of professionally-oriented tasks algorithms as well as the knowledge of technologies that can help to implements them. One of the main routines the officer needs to deal with on the navigational bridge is the use of the information systems of shipboard hardware. But before usage he needs to assure of the systems reliability. That is why it is extremely important to gain during the course of professional training the necessary skills of navigation equipment exploitation reliability assessment by means of Microsoft Office documents and cloud services.
So the subject matter of the suggested research is the procedure development for the navigation equipment exploitation reliability assessment by means of modern services use in the course of professional training of future seafarers.
The aim of the paper is the solution of the problems of optimum assessment of the information systems of shipboard hardware reliability by means of cloud technologies usage.
The following tasks are completed in the course of the research: the peculiarities and characteristics of navigational information processed by the shipboard navigation and information system have been analyzed; the results of the information systems of shipboard hardware usage have been studied; the technological diagram of the basic components structuring of the “Information systems of shipboard hardware” complex for the Master’s degree training course has been created; the effective technology of the program Excel documents processing has been chosen; the system of access and usage of web-services for calculation tables processing in the system of distance learning has been designed;the process of competency formation which will enable students to use cloud services has been suggested.

Downloads

Download data is not yet available.
Abstract views: 175 / PDF views: 99

References

Aleksanyan, G., 2012. The use of yandex cloud services in the organization of independent activities of SSE students. Pedagogy: traditions and innovation. vol. 2, pp.150–153. Available from: https://moluch.ru/conf/ped/archive/63/2605/.

Balyk, N., Oleksiuk, V., Vasylenko, Y. and Shmyger, G., 2019. Designing of virtual cloud labs for the learning CISCO cybersecurity operations course. Ceur workshop proceedings, 2393, pp.960–967. DOI: https://doi.org/10.31812/123456789/3177

Bilousova, L.I., Gryzun, L.E., Sherstiuk, D.H. and Shmeltser, E.O., 2019. Cloud-based complex of computer transdisciplinary models in the context of holistic educational approach. Ceur workshop proceedings, 2433, pp.336–351. DOI: https://doi.org/10.55056/cte.395

Bondarchuk, O., Balakhtar, V. and Balakhtar, K., 2020. Monitoring of the quality of the psychological component of teachers’ activity of higher education institutions based on Google Forms. E3s web of conferences, 166, p.10024. Available from: https://doi.org/10.1051/e3sconf/202016610024. DOI: https://doi.org/10.1051/e3sconf/202016610024

Bondarenko, O.V., Mantulenko, S.V. and Pikilnyak, A.V., 2018. Google Classroom as a tool of support of blended learning for geography students. Ceur workshop proceedings, 2257, pp.182–191. DOI: https://doi.org/10.31812/123456789/2655

Demyanenko, V.M., Kovalenko, V.V., Kravchenko, A.O., Nosenko, Y.G., Popel, M.V., Rassovytska, M.V., Striuk, A.M., Shishkina, M.P. and Yatsishin, A.V., 2017. Methodology of formation of cloud-oriented educational and scientific environment of pedagogical educational institution. Kyiv: Pedahohichna dumka.

Fedorenko, E.H., Velychko, V.Y., Omelchenko, S.O. and Zaselskiy, V.I., 2020. Learning free software using cloud services. Ceur workshop proceedings, 2643, pp.487–499. 213CTE Workshop Proceedings, 2022, Vol. 9: CTE-2021, pp. 200-215 DOI: https://doi.org/10.55056/cte.387

Glazunova, O., Voloshyna, T., Korolchuk, V. and Parhomenko, O., 2020. Cloud-oriented environment for flipped learning of the future IT specialists. E3s web of conferences, 166, p.10014. Available from: https://doi.org/10.1051/e3sconf/202016610014. DOI: https://doi.org/10.1051/e3sconf/202016610014

Khmil, N., Morkvian, I. and Kyselova, O., 2020. Creation the site-quest by using the cloud services: From the experience of teaching future teachers. Ceur workshop proceedings, 2732, pp.1164–1171.

Kolgatin, O.H., Kolgatina, L.S., Ponomareva, N.S. and Shmeltser, E.O., 2019. Systematicity of students’ independent work in cloud learning environment. Ceur workshop proceedings, 2433, pp.184–196. DOI: https://doi.org/10.55056/cte.379

Korobeinikova, T.I., Volkova, N.P., Kozhushko, S.P., Holub, D.O., Zinukova, N.V., Kozhushkina, T.L. and Vakarchuk, S.B., 2020. Google cloud services as a way to enhance learning and teaching at university. Ceur workshop proceedings, 2643, pp.106–118. DOI: https://doi.org/10.55056/cte.315

Korotun, O.V., Vakaliuk, T.A. and Soloviev, V.N., 2020. Model of using cloud-based environment in training databases of future IT specialists. Ceur workshop proceedings, 2643, pp.281–292. Available from: http://ceur-ws.org/Vol-2643/paper16.pdf. DOI: https://doi.org/10.55056/cte.360

Kravtsova, L., Kaminska, N. and Kravtsov, H., 2020. Cloud services in the distance learning system for future sailors. Ceur workshop proceedings, 2732, pp.1187–1202. Available from: http://ceur-ws.org/Vol-2732/20201187.pdf.

Lytvynova, S. and Burov, O., 2017. Methods, forms and safety of learning in corporate social networks. Ceur workshop proceedings, 1844, pp.406–413. Available from: http://ceur-ws.org/Vol-1844/10000406.pdf.

Lytvynova, S.H., Spirin, O.M. and Anikina, L.P., 2015. Cloud services office 365: Tutorial. Kyiv: Komprint.

Markova, O.M., Semerikov, S.O. and Striuk, A.M., 2015. The cloud technologies of learning: Origin. Information technologies and learning tools, 46(2), pp.29–44. Available from: https://doi.org/10.33407/itlt.v46i2.1234. DOI: https://doi.org/10.33407/itlt.v46i2.1234

Markova, O.M., Semerikov, S.O., Striuk, A.M., Shalatska, H.M., Nechypurenko, P.P. and Tron, V.V., 2019. Implementation of cloud service models in training of future information technology specialists. Ceur workshop proceedings, 2433, pp.499–515. Available from: http://ceur-ws.org/Vol-2433/paper34.pdf. DOI: https://doi.org/10.55056/cte.409

Oleksiuk, V.P. and Oleksiuk, O.R., 2020. Methodology of teaching cloud technologies to future computer science teachers. Ceur workshop proceedings, 2643, pp.592–608. DOI: https://doi.org/10.55056/cte.415

Osadcha, K.P. and Osadchyi, V.V., 2020. The use of cloud computing technology in professional training of future programmers. Ceur workshop proceedings, 2879, pp.155–164. DOI: https://doi.org/10.55056/cte.229

Shklyar, V., 2009. Reliability of control systems. Tomsk: Tomsk Polytechnic University Publishing House.

Spirin, O., Oleksiuk, V., Balyk, N., Lytvynova, S. and Sydorenko, S., 2019. The blended methodology of learning computer networks: Cloud-based approach. Ceur workshop proceedings, 2393, pp.68–80.

Striuk, A.M. and Rassovytska, M.V., 2014. The system of cloud oriented learning tools as an element of educational and scientific environment of high school. Information technologies and learning tools, 42(4), p.150–158. Available from: https://doi.org/10.33407/itlt.v42i4.1087. DOI: https://doi.org/10.33407/itlt.v42i4.1087

Sultanova, L.Y., Tsiuniak, O.P., Milto, L.O., Zheludenko, M.O., Lyktei, L.M., Petrenko, L.M. and Uchitel, A.D., 2020. The potential of Google Classroom web service for lecturers of higher educational establishments under pandemic conditions. Ceur workshop proceedings, 2879, pp.346–365. DOI: https://doi.org/10.55056/cte.279

Symonenko, S.V., Osadchyi, V.V., Sysoieva, S.O., Osadcha, K.P. and Azaryan, A.A., 2020. Cloud technologies for enhancing communication of IT-professionals. Ceur workshop proceedings, 2643, pp.225–236. Available from: http://ceur-ws.org/Vol-2643/paper12.pdf. DOI: https://doi.org/10.55056/cte.355

Vagushchenko, L., 2004. Ship navigation information systems. Odessa: Phoenix.

Vakaliuk, T.A., Korotun, O.V. and Semerikov, S.O., 2020. The selection of cloud services for ER-diagrams construction in IT specialists databases teaching. Ceur workshop proceedings, 2879, pp.384–397. Available from: http://ceur-ws.org/Vol-2879/paper21.pdf. DOI: https://doi.org/10.55056/cte.295

Vakaliuk, T.A. and Marienko, M.V., 2021. Experience of using cloud-oriented open science systems in the process of teaching and professional development of natural and mathematical teachers. Information technologies and learning tools, 81(1), p.340–355. Available from: https://doi.org/10.33407/itlt.v81i1.4225. DOI: https://doi.org/10.33407/itlt.v81i1.4225

Valko, N.V., Kushnir, N.O. and Osadchyi, V.V., 2020. Cloud technologies for STEM education. Ceur workshop proceedings, 2643, pp.435–447. Available from: http://ceur-ws.org/Vol-2643/paper25.pdf. DOI: https://doi.org/10.55056/cte.384

Vasilevskyi, O. and Ignatenko, O., 2013. Standardization of indicators of reliability technical means. Vinnitsa: VSTU.

Velychko, V.Y., Fedorenko, E.H., Kaidan, N.V., Soloviev, V.N. and Bondarenko, O.V., 2020. The support of the process of training pre-service mathematics teachers by means of cloud services. Ceur workshop proceedings, 2879, pp.318–332. DOI: https://doi.org/10.55056/cte.265

Vilskiy, G.B., 2013. Research of information support for traffic management system of marine vessels. Ukrainian scientific journal of information security, 3(19), pp.198–203. Available from: https://doi.org/10.18372/2225-5036.19.5626. DOI: https://doi.org/10.18372/2225-5036.19.5626

Vilsky, G.B., 2016. Information the risks of navigation in the diagram of Ishikawa. Scientific bulletin of the ksma, 1(14), pp.19–25. Available from: http://journals.ksma.ks.ua/nvksma/article/view/731.

Vilskyi, H. and Nadych, M., 2012. Methodology for probabilistic assessment of the safe parameters of a vessel in conditions of restricted navigation. Odessa: VydavInform.

Voloshynov, S.A., Zhuravlev, F.M., Riabukha, I.M., Smolets, V.V. and Popova, H.V., 2021. Application of VR technologies in building future maritime specialists’ professional competences. Ceur workshop proceedings, 2898, pp.68–81. Available from: http://ceur-ws.org/Vol-2898/paper03.pdf. DOI: https://doi.org/10.31812/123456789/4623

Zaytseva, T., Kravtsova, L., Tereshchenkova, O. and Yurzhenko, A., 2022. Simulation modeling as a means of solving professionally-oriented problems in maritime industry. In: S. Babichev and V. Lytvynenko, eds. Lecture notes in computational intelligence and decision making. Cham: Springer International Publishing, pp.94–106. Available from: https://doi.org/10.1007/978-3-030-82014-5_7. DOI: https://doi.org/10.1007/978-3-030-82014-5_7

Downloads

Published

2022-03-21

Issue

Section

Cloud-based Learning Environments

How to Cite

Kravtsova, L.V., Zaytseva, T.V., Bezbakh, O.M., Kravtsov, H.M. and Kaminska, N.H., 2022. The optimum assessment of the information systems of shipboard hardware reliability in cloud services. CTE Workshop Proceedings [Online], 9, pp.200–215. Available from: https://doi.org/10.55056/cte.115 [Accessed 24 May 2024].
Received 2021-10-04
Accepted 2021-12-17
Published 2022-03-21

Similar Articles

1-10 of 393

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)