• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.499-505
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• 2018

Shipping and logistics safety, security system is strengthening worldwide, the development of shipping and logistics safety security core technology for national security logistics system construction has been carried out. In addition, it is necessary to localize the Array Detection System, which is a core component of the container search machine, to cope with the 100% pre-inspection of the container scheduled for 2018 in the United States. In this research, we propose a test software program developed by using TI-RTOS (Texas Instruments - Real Time Operating System) with a test digital signal processing board which is developed self development. We have developed a program that can test GPIO, SRAM, TCP/IP, and SDcard using M4 MCU. Also we propose a study on a self-developed Digital Signal Processing Board among the array detection systems that replace foreign products. We have developed a test board that can test M4 MCU and developed an X-Ray Detector Digital Signal Processing Board that combines MCU and FPGA.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.2
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• pp.261-266
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• 2012

Due to rapid growth of East Asian economy, some changes are being made in trade volume and shipping market of this area. Busan port in Korea and Shanghai port in China are continually increasing their investment in port development and competitiveness in order to become the logistics hub of Northeast Asia. Especially the competition for transshipment containers becomes more and more fierce. So in this study, we set a goal of increasing the port competitiveness on transshipment cargo by an analysis of competition strategies. We choose the Busan port and the Shanghai port as the research objects, game competition model and real data is used to analyze the two ports' price strategies and market share. According to the results, some advices will be put forward to enhance competitiveness of the two ports.

• Journal of Navigation and Port Research
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• v.43 no.3
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• pp.197-208
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• 2019

This paper assessed the impacts of the specification of the yard, handling equipment, and operation approaches on the expected number of re-handles during the loading operation for empty containers. When the various types of empty containers from multiple shipping liners are placed in separate spaces from each other, then the storage space cannot be fully utilized. So as to increase the utilization of the storage space, empty containers from multiple vessel liners are stored together incurring additional re-handles during the loading operation. Several formulas are derived for the estimation of the expected number of handles, including re-handles, for empty container retrieval from a bay. Transfer cranes and top handlers are utilized as handling equipment and various retrieval strategies are examined. Numerical analysis was conducted to assess the effects of various designs and operational parameters of the container stacking yard on the expected number of handles.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.140-141
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• 2019

Busan Port is being operated inefficiently by a number of container terminal operators, which are dispersed in small groups. In particular, the small terminal at Busan Port is causing the dispersion of quantity, the increase of ITT cargo and the occurrence of a ship waiting at sea as the ship's Alliance became larger in 2016. As a result, studies such as integrated operations for the larger container terminals are being conducted. Therefore, in this study, we intend to set up a type of integrated operation for terminals at the new port of Busan and measure the practical effects through simulation to present an ideal direction for integrated operation.

• Journal of the Korea Organic Resources Recycling Association
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• v.13 no.3
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• pp.82-88
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• 2005

This study was carried out to investigate on the change of NaCl content during the food waste composting and on the safety of food waste compost(FWC) manufactured by the non-stirrer sealed fermenter. Plant culture test with pepper crop was also performed to see the effect of FWC, which was produced by the G co. ltd., on the growth of peper and migration of NaCl in soil. The culture test was performed at the farmland in Chungnam National University. The results were as follows; the NaCl content was gradually accumulated during food waste composting process, probably through water evaporation. Sodium concentration was, however, remarkably decreased at the final stage due to the desalting effect by water which was concentrated on the ceil of the fermentor. The analysis of chemical properties and humidity parameters on the food waste compost revealed that the product is quite a good qualified one. More than 0.5 tons of FWC application on red pepper cultivation caused diminished effect on the yield and the accumulation of salts on soil.

• Pallet News
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• s.40
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• pp.4-8
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• 2006

동북아 산업표준협력회의(S-Dialogue) 물류분야의 유일한 추진과제로 아시아 파렛트 표준화 과제가 선정된 것은 제2회 동북아산업표준협력회의(2003.10.31 북경)로 합의비망록 제4항에 명기함으로써 한 · 중 · 일 파렛트 표준화 전문가 회의가 구성되어 제1차(2004.9.24 서울), 제2차(2005.6.24 북경) 제3차(2005.11.11 후쿠오카)에 걸쳐 아시아 일관수송용 평파렛트 구격(안) 및 추진주제인 "아시아 파렛트시스템 연맹 규약(안)" 제정을 추진하여 2년여에 걸쳐 많은 어려움이 있었으나 산업자원부의 적극적 지원과 3개국 파렛트 전문가들의 폭 넓은 이해와 협조로 지난 제3차 후쿠오카 회의에서 최종안에 3개국 대표가 서명함으로써 제1단계 작업이 성공리에 완료되어 제2단계 실행단계에 진입함으로써 아시아 통합물류시스템구축에 역사적인 거보를 내딛게 되었다. 그간의 추진경과 및 최종합의 내용, 3개국 정부에 대한 건의, 규격안의 주요골자를 첨부한 보고서로 대신 하고자 한다. 본 보고서는 제4회 동북아 산업표준협력회의(2005.11.24 제주)에서 보고 되고 이 회의 공동합의문 2 · 7항에 명기 하였다.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.1
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• pp.19-29
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• 2021

In the Port Logistics system, Container Stowage planning is an important issue for cost-effective efficiency improvements. At present, Planners are mainly carrying out Stowage planning by manual or semi-automatically. However, as the trend of super-large container ships continues, it is difficult to calculate an efficient Stowage plan with manpower. With the recent rapid development of artificial intelligence-related technologies, many studies have been conducted to apply enhanced learning to optimization problems. Accordingly, in this paper, we intend to develop and present a Deep Q-Learning Network model for the Master Stowage planning of Container ships.

• Journal of Korea Port Economic Association
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• v.37 no.2
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• pp.55-71
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• 2021

While major alliance container carriers in the post-corona era are enjoying the largest boom in history with their fleet reduction strategy, shippers companies are in a state of deteriorating import and export price competitiveness due to increased logistics costs, and forwarders who act for shipping companies' logistics services are also experiencing the burden of rising freight rates It is in a state of overheated competition and worsening profits for attracting shippers. For this purpose, research data, literature studies, statistical data and data from overseas specialized networks were used as prior research. Online surveys and telephone interviews were conducted, and as a result, four areas of cold chain (including perishable cargo), project logistics, UN procurement logistics, and dangerous goods logistics, which were found to be particularly in high demand, were analyzed to suggest entry strategies.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.138-139
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• 2019

In the era of the 4th industrial revolution, automated technology innovation is emerging, and container terminals are being developed to introduce automation equipment and systems. With the advent of ultra-large vessels, terminals around the world are seeking to build port infrastructure by combining automated technology in order to attract more cargo and to enhance competitiveness to provide prompt service. To introduce automated technology that is emerging as a high-tech industry, this study proposes a structural equation model for the decision to introduce automated container terminal and conducts a questionnaire survey on workers engaged in terminal operators for empirical analysis. This paper presents the role and direction of guidelines for introduction of automated container terminal through decision model.

• 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.