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Resolving problems in symbol identification in compilation of electronic navigational charts utilising paper charts.

Authors :
Fernando, P.B.A.
Lewis, S.N.
Perera, A.N.D.
Gunathilaka, M.D.E.K.
Source :
Journal of Navigation. Mar2023, Vol. 76 Issue 2/3, p394-411. 18p.
Publication Year :
2023

Abstract

Electronic navigational charts (ENCs) can be compiled using existing paper charts to improve their coverage of the world's oceans. However, in the process of assigning symbols on ENCs, in some cases the software uses the same symbol for different paper chart symbols. This could ultimately compromise maritime safety. Addressing this issue, this paper describes a methodology for developing a new tool that complements the efficient production of ENCs using paper charts. First, the ENC product was produced utilising CARIS S-57 Composer. After considering the difficulties in assigning symbols through the compilation process, a new web application named SYMO EXPERT was introduced. It was developed using Firebase Realtime Database and React app. A questionnaire was prepared to collect data about the time factor and accuracy of using SYMO EXPERT. Results showed that it supports the users in selecting relevant symbols efficiently with an accuracy of up to 98%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03734633
Volume :
76
Issue :
2/3
Database :
Academic Search Index
Journal :
Journal of Navigation
Publication Type :
Academic Journal
Accession number :
169952651
Full Text :
https://doi.org/10.1017/S0373463323000188