Developing Chatbot for Training Seafarers for better Understanding and Communication by Using Real VTS Data

• 발행기관: 한국항해항만학회
• 저자명: 최성철 서원철 최승희 장은규
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2017 추계학술대회논문집, 36~38쪽, 전체 3쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2017.11.02

영문 초록

The advent of the era of data age and advances inartificial intelligence technology has led to innovations in various business areas. In particular, many attempts have been made to improve the stability of the marine accident, which has not previously been applied by a data-drive approach. Most of the marine accidents happen at a time when the vessel isapproaching a port and preparing for berthing. Although the cause of the accident has many factors, it is often caused by the difficulties of communication between the ship navigator and the control center. In particular, communication in English makes difficulties for navigators, not English astheir first language. To do this, proper English conversation education forsailors is very important. In order to support the issue, this study presents data and framework for the development of a chatbot for ship safety education.

키워드

Maritime Education Chatbot Framework Deeplearning LSTM