• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.473-476
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• 2006

천해역의 파랑발달에 대한 태풍경로의 영향력을 분석 하였다. 우리나라 남동해안에 주로 피해를 초래할 것으로 판단되는 태풍의 경로를 '남해안 상륙 후 내륙 통과'와 '대한해협통과'로 분류하고 각 경로에 따른 태풍규모와 파랑발달을 1956년 부터 2004년까지의 기상자료를 바탕으로 검토하였다. 태풍 경로의 영향력 분석은 천해역 파랑발달의 주요외력이 지형조건에 의해 결정되므로(즉, 폐쇄해역은 태풍의 바람장이 주요외력이며, 개방해역은 심해 전달파랑과 바람장의 영향을 동시에 받는다), 개방해역과 폐쇄해역의 경우로 나누어 수치모형실험을 통해 수행하였다. 실험조건은 태풍 "매미"의 강도와 특성 값을 기준으로 하였으며, 대상해역은 부산신항 인근해역과 원전항 인근해역을 개방형과 폐쇄형 해역으로 대별하여 실험을 수행하였다. 자료의 분석결과 최근 이상기후현상으로 태풍의 강도가 커지고 있음을 뒷받침 하는 근거는 찾아보기 힘들었으며, 2000년대 이후로 남해안에 상륙하는 경로'1'이 대한해협을 통과하는 경로(경로'2')보다 그 내습빈도가 커지고 있음을 볼 수 있었다. 태풍의 경로와 풍향이 같은 방향인 경로'1'일 때 에너지가 집중되어 태풍중심기압과 풍속과 파고의 증가가 함께 일어난다. 그러나 태풍의 경로와 풍속의 방향이 일치하지 않는 경로'2'의 경우는 에너지가 분산되므로 태풍중심기압과 풍속은 함께 증가하나 파랑에너지는 함께 발달하지 않는 것으로 보였다. 내습한 태풍의 강도를 경로별로 비교한 결과, 경로'1'이 경로'2'보다 큰 강도를 가지고 연악역에 영향을 미치는 것으로 판단되었다.

• Journal of Navigation and Port Research
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• v.34 no.10
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• pp.823-831
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• 2010

The shipping business industries which are the transport and logistics intensive in Busan, have been small sized and scattered in many areas, that is why they could not create a synergy effect utterly. Because of the need to develop the shipping business cluster complex in Busan in order to concentrate those industries and attract high value added firms, this study tries to suggest an approach to build the cluster. Firstly, how various shipping business related firms in Busan and capital area demand the cluster complex are searched through questioning survey. Secondly, the gradual scheme to integrate lots of business companies, governmental authorities and educational institutes and global strategy to invite domestic and foreign organizations in Myeong Ji area near to Busan New Port. Thirdly, the expected economic benefits of the cluster construction are calculated quantitatively.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.234-258
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• 2010

This research attempts to explore the competitive advantage of the Busan New Port based on the comparative analysis against the major ports. The competitive environment of the global shipping business poses a variety of challenges for the port authorities. Pursuing the hub position in the Northeast Asia, Busan new port needs an in-depth competitive analysis against the major ports in Singapore and China. This research proposes the strategies to exploit the locational advantage of the port while upgrading the operational efficiency. The recent development of the information technology suggests a viable solution for the Busan port.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.197-202
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• 2012

Block Train Services(BTS) are actively studied in many countries for higher productivity and eco-friendly systems of inland freight distribution. However it is difficult for an ordinary student or researcher to approach for understanding and studying BTS because rail transport is operated monopolistically by Korea government and most freight information in each company belongs to its business secret due to the industrial characteristics. For such reasons, the study aimed to develop a BTS simulation model that it supports understanding and strategic decision required for BT operation. To build the result, expert depth-interviews were conducted with analysis of relative references through the domestic representative BT operating company K. The simulator refers to the Busan NewPort-Uiwang section and functionally, it supports scenario generation and analysis on BT operation. It makes a contribution to study a new type's technological application for learning and strategic analysis of BTS.

• Journal of the Korean GEO-environmental Society
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• v.11 no.3
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• pp.43-51
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• 2010

In the downstream areas of the Nakdong river, Pusan clays are commonly found and thickness may reach to maximum of 100m. From geological point of view, Pusan clay are characterized as holocene clays, deposited for approximately 20,000 years ago. Recently, there have been many construction projects based on these soft ground areas. It is needed to know clearly soil properties of the areas for design and safety analysis, especially undrained shear strength of soft clays. However, Pusan clay have not been studied systematically because the clay layers are usually very deep, having high sensitivity characteristic. In this study, undisturbed UD samples obtained from the downstream areas of the Nakdong river were researched using laboratory tests (CthUE, CKcUC, CIUC, UU and UC) and in-situ tests (Field Vane, CPTu). The undrained shear strength characteristics of the samples were depicted using stress-strain relationship.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.157-164
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• 2003

Introduction of wave model, considered the effect of tide, wind and wave induced currents at the coastal waters of complex bathymetry, is a very important factor for most coastal engineering design and disaster protection problems. As the steady state spectral wave model could simulate depth induced wave shoaling and refraction, current induced refraction effect, steepness induced wave breaking, diffraction, wind wave growth, and wave-wave interaction that redistribute energy, this would support and compensate the gap in the real field of design where other wave models could not deal and cause wrong estimation. In this study, for that sense, we applied the spectral wave model t the large coastal waters near Gaduck Island where the Busan new port construction project is going on, for better understanding and analysis of wave transformation process. We also compared the simulation results with the calculated from the existing model. From such a trial of this study, we hope that broader and sager use of the spectral model in the area of port design and disaster prevention system come through in near future.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1081-1088
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• 2020

In this paper, the method of detecting sea fog through CCTV image is proposed based on convolutional neural networks. The study data randomly extracted 1,0004 images, sea-fog and not sea-fog, from a total of 11 ports or beaches (Busan Port, Busan New Port, Pyeongtaek Port, Incheon Port, Gunsan Port, Daesan Port, Mokpo Port, Yeosu Gwangyang Port, Ulsan Port, Pohang Port, and Haeundae Beach) based on 1km of visibility. 80% of the total 1,0004 datasets were extracted and used for learning the convolutional neural network model. The model has 16 convolutional layers and 3 fully connected layers, and a convolutional neural network that performs Softmax classification in the last fully connected layer is used. Model accuracy evaluation was performed using the remaining 20%, and the accuracy evaluation result showed a classification accuracy of about 96%.

• Journal of the Korean Geotechnical Society
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• v.24 no.8
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• pp.149-160
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• 2008

Offshore pile foundations are prone to lateral soil pressures resulting from embankment construction for the reclamation on deepwater soft clay. Since the 1990s, offshore reclamation has actively progressed in Korea, connecting with the development of Songdo newtown, Incheon newport, and Busan newport representatively. Special attention has been given to lateral soil-structure interaction problems related to passively-loaded offshore pile foundations. Based on a plane strain large deformation finite element (LDFE) approach, this paper presents the results of investigation into undrained (short-term) and drained (long-term) behavior of passively-loaded offshore pile foundations. This study examines the effects of major factors, such as soil profile, pile head boundary condition, magnitude of embankment load, and average degree of consolidation. The results allowed quantification of differences in the magnitude of lateral soil pressure acting on the piles between undrained and drained phases.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.27-33
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• 2024

Following the COVID-19 pandemic, congestion within container terminals has led to a significant increase in waiting time and turnaround time for external trucks, resulting in a severe inefficiency in gate-in and gate-out operations. In response, port authorities have implemented a Vehicle Booking System (VBS) for external trucks. It is currently in a pilot operation. However, due to issues such as information sharing among stakeholders and lukewarm participation from container transport entities, its improvement effects are not pronounced. Therefore, this study proposed a deep learning-based predictive model for external trucks turnaround time as a foundational dataset for addressing problems of waiting time for external trucks' turnaround time. We experimented with the presented predictive model using actual operational data from a container terminal, verifying its predictive accuracy by comparing it with real data. Results confirmed that the proposed predictive model exhibited a high level of accuracy in its predictions.

• Journal of Navigation and Port Research
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• v.34 no.10
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• pp.781-786
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• 2010

In this study, a new concept of ocean transport system, called the mobile harbor serving for a short distance transport of containers with cargo handling cranes between mother containerships and coastal ports, is introduced. Instead of direct berthing a very large containership at the coastal port, Mobile Harbor is moving to the offshore mooring basin with enough water depth condition. Therefore, investigation of the coastal environment, technical condition and limitation of the domestic trade ports for the application of Mobile Harbor, is essential process. To figure out the accessibility of mobile harbor, the environmental conditions, the cargo handling capacity and marine traffic volume and flow pattern has been analyzed with the tools for marine traffic simulation and virtual navigation aids system. The most proper Mobile Harbor mooring areas among trade ports of the south and east coast are selected by analyzing the obtained information and evaluating its application: (1) Under natural environmental conditions such as air and sea weather, three candidate areas are selected such as Masan port, Ulsan port, and Busan(New port) port. (2) Under marine traffic and appropriateness of water facilities, three candidate areas are selected as Mokpo port, Busan(New port) port, and Donghae & Mookho port (3) For a region-based analysis considering handling capacity and the local managed trade ports in vicinity, three candidate areas are selected as Busan region, Yosu & KwangYang region, and Mokpo region. Through this study, the basic guideline for selection of optimum trade port and offshore mooring basin for mothership and Mobile Harbor is recommended. In order to apply the Mobile Harbor to the real water, navigaton aids as the virtual route identification with AIS must be introduced for maritime safety in the vicinity of Mobile Harbor area which berthing and cargo handling is being conducted.