• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.159-171
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• 2013

This paper aims to analyse the relative efficiency of logistics facilities and suggest the policy alternatives for exploring and activating them. This study also divides the logistics facilities into airport terminals, logistics complexes, container terminals, and trucking freight terminals. For this purpose, the CCR-DEA as well as the BCC-DEA techniques are employed to show which part explains the primary cause of inefficiencies of each DMU(Decision Making Unit). The empirical results indicate that the efficiency of logistics complex is the lowest of all, while freight trucking terminal has the highest efficiency. This study also reveals that operation inefficiency is greater than scale inefficiency in most of DMUs, showing that much more effort be done for alleviating the cost resulting from irrational management.

• Journal of Navigation and Port Research
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• v.34 no.6
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• pp.493-501
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• 2010

In the central Busan area from Haeundae to Saha, fishing villages are vanished actually in the progress of urbanization, and 17 fishing ports surrounded by urbanized area are left alone and isolated. But, we think these urbanized fishing ports are the very resource which grant the identity as the marine city and they have considerable potentials to enhance the value of neighboring community depending on the proper development of it. In this study, we defined the fishing ports in central Busan area as the representatives of 'urban fishing port', and tried to find the way of coexistence and harmony between 'city' and 'fishing port'. For this purpose, we investigated the fishery potentials, physical environments and development demands of 17 fishing ports in central Busan area, and composed opinions from fishing communities and neighboring inhabitants to set up the long term directions of urban fishing ports development for harmonious coexistence of city and fishing port.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.107-108
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• 2019

In the past, regional pilot service is provided by individual pilots directly on board each ship, but it will be difficult to provide this type of service in the near future when autonomous vessels are activated. This can be seen as the need for automation and intelligence of pilot service and provision of remote control system. In this paper, we propose a method, system, and service target that can carry out the electronic pilot service through the intelligence aids to navigation for smart port operation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.193-199
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• 2018

Due to the rapid development of AI, autonomous vessels will be realized in the near future. However, the curriculum of nautical science in maritime university is not prepared for this trend. In addition, after the expiration of the mandatory boarding period, a number of junior merchant marine officers are leaving offshore jobs to find onshore jobs. This is a comparative analysis of curriculum of nautical science in maritime universities. Since most of seafaring countries ratified STCW 2010, nearly all themaritime universities train their cadets by followings the procedures required by STCW. Therefore, it is necessary to examine the curriculum of these marine universities in oder to confirm the appropriateness of our curriculum of nautical science. This will ultimately be used as a reference for the development of an ideal curriculum to prepare for rapid technological development and to prepare for a job on the ground.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.710-719
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• 2011

Shipping companies have become interested in the development of strategic ship assets management systems which are implemented for high competitiveness and business rationalization to meet the tough business environment of high oil prices and decrease in cargo. In this paper we introduce a ship assets management system that is suitable for the SAN(Ship Area Network) environment. This system is designed to execute business strategy of ship owners giving consideration to requirements of shipping stakeholders. In addition we have implemented it in a web-based ERP system (SHERP) which separates user interface and business logic. The SHERP is based on STEP and PLIB, which are international standards for data exchange of mechanical devices and parts. It also adopts a ship ontology to manage the ship information and knowledge during its life-cycle. The SHERP will be a concrete example of servitization of shipbuilding, as an information system which is used in ships and ship groups.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.534-540
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• 2020

Like most developed countries, South Korea is experiencing a severe lack of seafarers. Because young people's demands for a high quality of life has led them to seek shore-based careers. The wage difference between seafaring and shore-based careers has been decreasing gradually, however South Korea's unique Boarding Service Reserve System Policy has helped recruit and retain young sailors and, since 2017, the government has focused on creating new jobs and stabilizing the status of irregular workers in both private and public sectors. It specifically established the Economic, Social & Labor Council to carefully analyze seafarers' employment stability, which previously had been overlooked in the country. This research used the Binary Logit Model (BLM) to analyze the determinants of seafarers' employment stability in both permanent and non-permanent positions. We found that seafarers' employment stability correlated highly with their education level. This means that seafarers who graduated from the above mentioned two maritime universities would have more job stablity than those who graduated from maritime high schools or general universities. Other independent variables, such as the shipping company, vessel, hip management companies, work assignment, rank, and license had no significant impact on employment stability.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.23-31
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• 2022

This study analyzed the actual frozen container operation data of Starcool provided by H Shipping. Through interviews with H's field experts, only Critical and Fatal Alarms among the four failure alarms were defined as failures, and it was confirmed that using all variables due to the nature of frozen containers resulted in cost inefficiency. Therefore, this study proposes a method for detecting failure of frozen containers through characteristic importance and PCA techniques. To improve the performance of the model, we select variables based on feature importance through tree series models such as XGBoost and LGBoost, and use PCA to reduce the dimension of the entire variables for each model. The boosting-based XGBoost and LGBoost techniques showed that the results of the model proposed in this study improved the reproduction rate by 0.36 and 0.39 respectively compared to the results of supervised learning using all 62 variables.

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.95-101
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• 2021

Marine Incidents based on Heinrich's law are very important in preventing accidents. However, marine Incident data are mainly qualitative and are used to prevent similar accidents through case sharing rather than statistical analysis, which can be confirmed in the marine Incident-related data posted in the Korea Maritime Safety Tribunal. Therefore, this study derived quantitative results by analyzing the causes of marine incidents during berthing using various methods of statistical analysis. To this end, data involving marine incidents from various shipping companies were collected and reclassified for easy analysis. The main keywords were derived via primary analysis using text mining. Only meaningful words were selected via verification by an expert group, and time series and cluster analysis were performed to predict marine incidents that may occur during berthing. Although the role of an expert group was still required during the analysis, it was confirmed that quantitative analysis of marine incidents was feasible, and iused to provide cause and accident prevention information.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.54-55
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• 2020

In 4th Industrial Revolution, technologies such as artificial intelligence, Internet of Things, and Big data are closely related to the maritime industry, which led to the birth of autonomous vessels. Due to the technical characteristics of the current vessel, the speed cannot be suddenly lowered, so complex communication such as the help of a tug boat, boarding of a pilot, and control of the vessel at the onshore control center is required to berth at the port. In this study, clustering analysis was used to resolve how to establish control criteria for vessels to enter port when autonomous vessels are operating. K-Means clustering was used to quantitatively stage the arrival pattern based on the accumulated AIS(Automatic Identification System) data of the incoming vessel, and the arrival phase using SOG(Speed over Ground), COG(Course over Ground), and ROT(Rate of Turn) Was divided into six phase.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.4
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• pp.374-381
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• 2020

According to international regulations, it is mandatory for navigators or engineers to acquire suitable skillsets before their designation as a duty officer on board. One of the most important elements is Maritime English (ME), wherein students are taught a required set of basic skills that enable them to process various documents related to accidents, ship conditions, and inspections. Students have to be equipped not only with the use of general English skills but also with the coherent use of technical terms and phrases. However, due to the unique circumstances that exist in the maritime domain, the methods used for imparting maritime knowledge and the manner in which it is evaluated are restricted. Hence, this study aims to utilize an online Maritime English learning and testing platform that can be accessed on smart devices to analyze its impact on the students' learning process. An experiment was conducted on two groups of cadets, one that used the platform and another group that did not. After six-week, the experiment results showed a significant difference between the ME test scores of the two groups. The test scores were further analyzed by incorporating the students' personal elements to measure the ef icacy of the ME test platform. Therefore, the learning and evaluation processes are expected to be implemented in ways that are appropriate and convenient to specific circumstances and be widely used in the field of maritime education in the future.