• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.1
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• pp.60-66
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• 2023

Currently, the maritime industry is focusing on developing technologies that promote autonomy and intelligence, such as smart ships, autonomous ships, and eco-friendly technologies, to enhance ship operational efficiency. Many countries are conducting research on different methods to ensure ship safety while increasing operational efficiency. This study aims to develop a real-time ship operational efficiency analysis model using data analysis methods to address the current limitations of the present technologies in the real-time evaluation of operational efficiency. The model selected ship operational efficiency factors and ship operational condition factors to compare the operational efficiency of the ship with present and classified factors to determine whether the present ship operational efficiency is appropriate. The study involved selecting a target ship, collecting data, preprocessing data, and developing classification models. The results of the research were obtained by determining the improved ship operational efficiency based on the ship operational condition factors to support ship operators.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.158-159
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• 2018

It analyzed the domestic and overseas trends related to smart ship development in the world and identifies key functions required for smart vessels, especially autonomous vessels, and introduces key technologies that can be utilized in the development of INS(Integrated Navigation System) for autonomous vessels.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.395-398
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• 2017

The Smart Ship is considered one of the most discussed and novel topics in developing technological period. In this reason, the amount of running researches on it is evolving so fast. As a proof, the faced drawbacks such as the departure of ships, their safety, exchanging data, traffic and data monitoring system are being solved by presenting advanced technologies and innovations like Cloud, BigData, IoT and etc. Expanding the utilization of these technologies in the Marine world emphasizes not only the departure of the ships in the water but also they focus on solving the problems of the ships connected with the communication to the ports. In this paper, we present an IoT based smart reporting and mooring system for vessels and ports. In the proposed system, the ships automatically send all the data about themselves to the port and after getting the data, ports automatically send the information about possible spaces to moor for the ships using the sensors at the port. The intended system gives an amenity to minimize the time, effort and the cost while mooring the vessels.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2011.06a
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• pp.317-320
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• 2011

정보통신 기술의 발달과 환경오염 문제의 심각성에 대한 인식 때문에 근래에 선박에 새로운 개념이 도입되고 있다. 전전기 스마트선은 전기 추진체계를 포함한 선박 내 모든 전력계통 구성품의 관련 요소들을 선박의 목적과 특성에 맞게 운영 되어지는 신개념의 선박이다. 이 연구에서는 전전기선 체계통합 시스템에 대하여 설명할 것인데, 이는 선박의 추진 및 전력, 기관제어계통 등 전체 시스템에 대한 획득 및 수명주기 비용 절감을 위한 통합 관리 체계를 목적으로 한다. 전기추진체계를 이해하기 위해서는 선박 내에 모든 전력 구성품의 통합 적인 이해가 필요 하며, 이를 위해서 전력제어, 전력배전, 통합 최적화를 위한 개념에 대해서 정확히 이해하여야 한다. 이 연구에서는 체계통합기술의 전반적인 이해를 돕는 데에 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.333-335
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• 2022

The changes caused by the 4th industrial revolution are accelerating the convergence of technologies due to the COVID-19 Pandemic. As a result, rapid changes are expected in various fields of society and industry. The shipping and logistics industry is also in urgent need of smartization due to changes in environment and technology. However, in the case of Korea, the smartization of shipping and logistics technology is insufficient compared to that of advanced countries. For smartization for complex business processing with many related entities, smooth communication and visual confirmation using the latest technologies are becoming important. Such visualization and communication will become more important in smart shipping and logistics This study intends to present an integrated communication tool between self-driving ships and container terminals for the realization of smart shipping and logistics. In particular, a study was conducted on the development of a digital twin-based communication tool that satisfies the requirements of ship berthing and loading/unloading operations in which various actors participate and process complex tasks.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.305-310
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• 2014

We called a current society the convergence generation. In information society, digital convergence means a service or new product which appeared through fusion of unit technologies in information and communication regions. The effects of convergence technologies and social phenomenons are visualized in overall regions of society such as economy, society, culture, etc. In 2011, The Government introduced "IT Convergence Technology Prediction Survey 2025". This report includes 10 ICT industries. In this paper, we described a smart city which was leading case in digital convergence and related with our life.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.362-365
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• 2022

With the development of the 4th industrial revolution technology, smartization in various fields is accelerating. The shipping and logistics industry is also promoting smartization by combining advanced new technologies such as digital twin, Internet of Things, and artificial intelligence. In Korea, the Ministry of Maritime Affairs and Fisheries is promoting a strategy to spread the smart shipping logistics system in line with the changing global shipping logistics trend, and through this, it is creating a foundation for smart shipping logistics. This study aims to present the concept of a communication tool that recognizes the importance of communication between each logistics entity and exchanges opinions between logistics entities in a virtual digital twin environment to cope with the changing shipping logistics process. In addition, for the development of these communication tools, this study derive a software design model, including architecture.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1216-1221
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• 2022

Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.447-463
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• 2022

Artificial Intelligence (AI) technology is a major technology that develops smart ships into autonomous ships in the marine industry. Autonomous ships recognize a situation with the information collected without human judgment which allow them to operate on their own. Existing ship systems, like control systems on land, are not designed for security against cyberattacks. As a result, there are infringements on numerous data collected inside and outside the ship and potential cyber threats to AI technology to be applied to the ship. For the safety of autonomous ships, it is necessary to focus not only on the cybersecurity of the ship system, but also on the cybersecurity of AI technology. In this paper, we analyzed potential cyber threats that could arise in AI technologies to be applied to existing ship systems and autonomous ships, and derived categories that require security risks and the security of autonomous ships. Based on the derived results, it presents future directions for cybersecurity research on autonomous ships and contributes to improving cybersecurity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.305-309
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• 2006

The important field of research on ship operation is related to the high efficiency of transportation, the convenience of maneuvering ships and the safety of navigation. For these purposes, many intelligent technologies for ship automation have been required and studied. As a way of practical application for a smart ship based on network system, this paper proposes the intelligent control system for ship steering gear based on TCP/IP and desires to testify the validity of the proposal by applying the fuzzy control model to the steering gear system. As study method, the fuzzy inference was adopted to build the maneuvering models of steersman and then the network system was implemented using the TCP/IP Socket programming. Lastly, the miniature steering control system was designed to testify for its effectiveness.