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Article

April 30, 2023


Implementation of Ship Trajectory Following Algorithm
Wonjin Choi, Seung-Hwan Jun
J Navig Port Res. 2023;47(2):49-56.

As interest in autonomous ships continues to grow, researchers around the world are dedicating themselves to the development of relevant technologies. However, these technologies are not yet perfect. Several technical...

Article

April 30, 2023


Cybersecurity Development Status and AI-Based Ship Network Security Device Configuration for MASS
Yunja Yoo, Kyoung-Kuk Yoon, David Kwak, et al.
J Navig Port Res. 2023;47(2):57-65.

In 2017, the International Maritime Organization (IMO) adopted MSC.428 (98), which recommends establishing a cyberrisk management system in Ship Safety Management Systems (SMSs) from January 2021. The 27th International Association...

Article

April 30, 2023


Optimal Route Planning for Maritime Autonomous Surface Ships Using a Nonlinear Model Predictive Control
Daejeong Kim, Zhang Ming, Jeongbin Yim
J Navig Port Res. 2023;47(2):66-74.

With the increase of interest in developing Maritime Autonomous Surface Ships (MASS), an optimal ship route planning is gradually gaining popularity as one of the important subsystems for autonomy of...

Article

April 30, 2023


A Study on Ship Route Generation with Deep Q Network and Route Following Control
Min-Kyu Kim, Hyeong-Tak Lee
J Navig Port Res. 2023;47(2):75-84.

Ships need to ensure safety during their navigation, which makes route determination highly important. It must be accompanied by a route following controller that can accurately follow the route. This...

Article

April 30, 2023


Design and Implementation of Green Coastal Lighting System for Entrance to Coastal Pier
Jae-Kyung Lee, Jae-Hong Yim
J Navig Port Res. 2023;47(2):85-92.

The hardware of an LED lighting control system for coastal lighting at coastal pier entrance consists of a power supply unit, an AVR control unit, a CLCD output unit, an...

Article

April 30, 2023


Understanding Relationships Among Risk Factors in Container Port Operation Using Bayesian Network
Tsenskhuu Nyamjav, Min-Ho Ha
J Navig Port Res. 2023;47(2):93-99.

This study aimed to determine relationships among risk factors influencing container port operation using Bayesian network. Risk factors identified from prior studies were classified into five groups: human error, machinery...

Article

April 30, 2023


Factors Affecting Stock Beta Variations of Korean Listed Shipping Companies
Deog-Heon Park, Chi-Yeo Kim
J Navig Port Res. 2023;47(2):100-105.

This study investigated determinants of stock betas of shipping companies in Korea. Beta is a measurement of sensitivity of an individual stock to the movement of the whole stock market....

Article

April 30, 2023


Design and Analysis of a Novel Methanol SOFC Combined System for Marine Applications Toward Future Green Shipping Goals
Duong Phan Anh, Ryu Bo Rim, Hokeun Kang
J Navig Port Res. 2023;47(2):106-119.

Due to global decarbonization movement and tightening of maritime emissions restrictions, the shipping industry is going to switch to alternative fuels. Among candidates of alternative fuel, methanol is promising for...
Current Issue
Volume 47(2); Apr 2023
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Jun 30, 2022

Journal of Navigation and Port Research

Print ISSN: 1598-5725
Online ISSN: 2093-8470

  • 2,950 Analysis of Safety Considerations for Application of Artificial Intelligencein Marine Software Systems
    1,315 Real-time Wave Overtopping Detection and Measuring Wave Run-up Heights Based on Convolutional Neural Networks (CNN)
    1,640 A Study on the Entry of the Domestic Cold Chain Industry into the UN Procurement Market
    823 Disposition Effect in the Ship Investment Market: A Case Study
    1,228 Simple Kinematic Model Generation by Learning Control Inputs and Velocity Outputs of a Ship

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