• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.502-503
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• 2013

Triple-E(1만 8천 TEU급) 컨테이너선은 경제성, 에너지효율, 친환경 등을 고려한 초대형 컨테이너선으로 2013년 7월경에 부산신항에 입항할 예정이다. 부산신항에는 현재까지 1만 6천 TEU급 컨테이너선이 입항한 바 있으며, 이러한 세계최대 크기급 컨테이너선 입항 계획에 따라, 선박조종시뮬레이터를 이용하여 부산신항 진입항로 및 토도 부근 수역에서의 선박운항 안전성 검토를 수행하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2005.10a
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• pp.319-325
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• 2005

The objective of this paper is to forecast the port productivity of container terminal to response very large container ship. In general, the productivity of container terminal is evaluated by productivity of stevedoring system including container cranes, yard cranes, and yard tractors. Therefore, we analyzed the current productivity of container crane as port productivity in Pusan ports and forecast net productivity and gross productivity of container cranes to handle the containers cf very large container ship. In order to improve the productivity, we summarize alternatives of stevedoring system and operation system.

• Journal of Korea Port Economic Association
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• v.32 no.1
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• pp.97-122
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• 2016

Incheon port attained two million TEU of container throughput between 2013 and 2014 as a third port in domestic container throughput. It opened a new port in Song-do, Incheon in June 2015 to prepare for the continuing increase in container throughput.Therefore, it has provided the platform for being the major container port domestically and internationally. As the role of the new port increases, the role and direction of the Incheon port liner service network attracts attention. This study analyzes the centrality of the Incheon port liner service network by using SNA (Social Network Analysis), which was introduced in the maritime economics area recently, focusing on the Incheon port liner service network. We recognize the degree centrality, closeness centrality, and betweenness centrality of each port and its effect on the Incheon port liner service network. The study showed that for Incheon port, the centrality of the Busan port in Korea, and the Hong Kong port, is high outside the country. This helps us determine that the hub of the Incheon port is neither Shanghai nor Singapore, which ranks first and second, respectively, on container throughput. It is also helps us to know that eastern China's ports have not played a role of the hub of the Incheon port until now because of the relatively low centrality of eastern China's ports.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.111-123
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• 2022

In the era of the Covid19, container shipping rates are surging up. Many studies have attempted to investigate the factors affecting a surge in container shipping rates. However, there is limited literature using text mining techniques for analyzing the underlying causes of the surge. This study aims to identify the factors behind the unprecedented surge in shipping rates using network text analysis and LDA topic modeling. For the analysis, we collected the data and keywords from articles in Lloyd's List during past two years(2020-2021). The results of the text analysis showed that the current surge is mainly due to "US-China trade war", "rising blanking sailings", "port congestion", "container shortage", and "unexpected events such as the Suez canal blockage".

• Journal of Navigation and Port Research
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• v.30 no.8 s.114
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• pp.663-668
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• 2006

This thesis tries to evaluate the economic benefit of space chartering in comparison with time chartering with respect to mega container ships. For this it reviews the method of obtaining ship's carrying capacity such as time chartering and space chartering. Based on this, it tries to make comparison between the time chartering and space chartering on economic base. Finally, it suggest the economic benefit of space chartering with direction for further study.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.235-239
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• 2002

운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다 된 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, 검출된 에지 정보를 이용하여 수직 블록과 수평 블록을 추출하여 컨테이너의 식별자 영역을 추출한다. 추출된 컨테이너의 식별자 영역에서 히스토그램 방법과 윤곽선 추적 알고리즘을 이용하여 개별 식별자를 추출한다. 컨테이너의 개별 식별자 인식은 ART1을 개선하여 지도 학습 방법과 결합한 개선된 신경망을 제안하여 적용한다. 실험 결과에서는 제안된 컨테이너 식별자 추출 린 인식 방법이 다양한 컨테이너 영상에 대해 효율적인 것을 보인다.

• 해운
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• no.1 s.47
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• pp.14-22
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• 2008

최근들어 1만TEU급 초대형 컨테이너선이 잇따라 시장에 투입되면서 선복과잉이 우려되고 있다. 과연 메가급 컨테이너선이 규모경제의 잇점을 살릴 수 있을지, 아니면 메가급 위기로 다가올지 기대와 우려가 교차되고 있다. 다음은 로이즈 쉬핑 에코노미스트(Lloyd's Shipping Economist)지 2007년 10월호에 실린 스테판 메튜(Stephen Matthews)의 "Mega-risk"를 번역한 것이다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.490-494
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• 2003

운송 컨테이너의 식별자를 추출하고 인식하는 것은 컨테이너 식별자들의 크기나 위치가 정형화되어 있지 않고 외부의 잡음으로 인하여 식별자의 형태가 훼손되어 있기 때문에 어렵다. 본 논문에서는 이러한 특성을 고려하여 컨테이너 영상에 대해 Canny 마스크를 이용하여 에지를 검출하고, Canny 마스크가 적용된 영상에서 수직·수평 히스토그램을 적용하여 컨테이너의 식별자 영역을 추출한다. 추출된 컨테이너의 식별자 영역을 삼각형 타입의 퍼지 이진화 방법을 적용하여 이진화하고 이진화된 컨테이너 식별자 영역을 윤곽선 추적 알고리즘으로 개별 식별자를 추출한다. 제안된 방법의 성능을 평가하기 위하여 실제 컨테이너 영상에 적용한 결과, 기존의 방법보다 컨테이너의 식별자 추출에서 우수한 성능이 있음을 확인하였다.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.62-77
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• 2024

In the maritime shipping industry, imbalance between supply and demand has persistently increased, leading to the utilization of blank sailings by major shipping companies worldwide as a key means of flexibly adjusting vessel capacity in response to shipping market conditions. Traditionally, blank sailings have been frequently implemented around the Chinese New Year period. However, due to unique circumstances such as the global pandemic starting in 2020 and trade tensions between the United States and China, shipping companies have recently conducted larger-scale blank sailings compared to the past. As blank sailings directly impact freight transport delays, they can have negative repercussions from perspectives of both businesses and consumers. Therefore, this study employed Poisson regression models and negative binomial regression models to analyze the influence of maritime freight rate determinants on shipping companies' decisions regarding blank sailings, aiming to proactively address potential consequences. Results of the analysis indicated that, in Poisson regression analysis for 2M, significant variables included global container shipping volume, container vessel capacity, container ship scrapping volume, container ship newbuilding index, and OECD inflation. In negative binomial regression analysis, ocean alliance showed significance with global container shipping volume and container ship order volume, the alliance with container ship capacity and interest rates, non-alliance with international oil prices, global supply chain pressure index, container ship capacity, OECD inflation, and total alliance with container ship capacity and interest rates.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.246-246
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• 2017