• Journal of the Society of Naval Architects of Korea
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• v.59 no.2
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• pp.89-95
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• 2022

The stability of the existing ships has been evaluated through numerical calculations in the steady-state, but recently the IMO proposed a new stability assessment criteria that the stability is evaluated in the state in which environmental loads from such as waves and wind act like the loads under actual ship operating conditions. In this study, IMO 2nd generation stability assessment method and procedure were summarized for the dead ship condition, and Direct Stability Assessment (DSA) was performed on 13K chemical tanker through basin model test. The model test is performed in the ocean engineering basin to implement wave and wind loads, and environmental conditions for waves were set height and period of the incident wave, considering the regular wave and wind generation range reproducible in the ocean engineering basin. In addition, to consider the effect of wind speed, the Beaufort Scale for wind speed was applied in the model test.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.4
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• pp.402-407
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• 2013

In this paper, we consider an interference scenario and interference simulation method of intra-wireless vessel communications using SEAMCAT (Spectrum Engineering Advanced Monte-Carlo Analysis) simulator. The interference between electromagnetic equipment and low power radio apparatus can deteriorate a stability of vessel system and it is necessary to analyze the interference probability between radio devices. The proposed simulation method in the 13.56MHz ISM frequency band shows that the interference effect can be minimized when the distance between the devices is greater than 4.7m and 2.7m in case that the victim receiver (VR) are RFID and remote control(RC) toy, respectively. The proposed interference scenario and simulation method are expected to be helpful in the interference probability analysis and regulation policy in the ISM frequency band.

• Journal of the Korean Society for Marine Environment & Energy
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• v.10 no.3
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• pp.167-172
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• 2007

Since 1990s, these many researchers have been fully involved in developing recycling methods for FRP boats. There are four basic classes of recycling covered in the literature. the first is "Mechanical recycling" which involves shredding and grinding of the scrap FRP in a new product. Despite of the safety hazards, mechanical recycling is one of the simpler and more technically proven methods. Recent researchers should be more interested in these methods. It is fact that most of FRP wastes are depended on incineration or reclamation. Because it Is made up of reinforced fiber glass, it is very difficult to break into pieces. By the disposing of waste FRP this way, it also occurs secondary problem such as air pollution and unacceptable noise. This study is to propose a new method which is efficient and environment friendly waste FRP regenerating.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.591-596
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• 2018

In Designing a Small Ship, the Design of the Trim for Sailing has a great influence on the Stability of the Ship as well as Resistance. The Center of Gravity of a Ship is mostly determined during Initial Design. This Study confirms the Effect of Trim on changes in Vertical Center of Gravity by Numerical Analysis for a Small Catamaran. The Results were examined in a Model test. However, No Model tests were conducted while varying the changes in Vertical Center of Gravity. Nonetheless, Investigation was completed for the Purpose of presenting Vertical Center of Gravity results according to plans for the Trim during Initial Design of a Small Ship. In order to verify the Results of Numerical Analysis, a Comparison with Experimental results was carried out. Alternation of Trim angle and Resistance performance according to changes in the Center of Gravity were studied.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.117-127
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• 2001

The Main object of this research is directed to LG Oil company harbor in kwangyang-hang, where various ships ranging from 300 ton to 48000ton DWT use seven berths in the harbor. This harbor suffered from inefficient and unsafe management procedures since it is difficult to set guidelines for arrival and departure of ships according to the weather conditions and the current guidelines dose not offer clear basis of its implications. Therefore, it has long been suggested that these guidelines should be improved. This paper proposes a decision-support system, which can quantitatively decide the possibility of entry or departure on a harbor by analyzing the weather conditions (wind, current, and wave) and taking account of factors such as harbor characteristics, ship characteristics, weight condition, and operator characteristics. This system has been verified using 5$_{th}$ and 7$_{th}$ berth in Kwangyang-hang harbor. Machine learning technique using genetic programming(GP) is introduced to the system to quantitatively decide and produce results about the possibility of entry or arrival, and weighted linear associative memory (WLAM) method is also used to reduce the amount of calculation the GP has to perform. Group of additive genetic programming trees (GAGPT) is also used to improve learning performance by making it easy to find global optimum.mum.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.30-32
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• 2015

최근 대형 여객선 및 소형 낚시선 등의 전복사고 사례가 급증하고 있으며 이는 많은 인명사고와 함께 큰 경제적 손실로 이어지고 있다. 이로 인해 선박의 복원 안정성에 관한 관심이 더욱 높아지고 있다. 본 논문에서는 모형선의 복원력을 계측하여 평가 할 수 있는 복원성 시험 도구로서 복원력 계측 장비를 개발하였으며 성능 평가를 함께 실시하였다. 성능평가는 이론적 계산과 시험 결과의 비교분석을 통해 이루어졌고, 이론치와 상용프로그램 및 시험치 결과와의 오차가 각각 0.04%, 3.7%로 양호한 일치를 보여주고 있다. 이와 같이 4%이내의 매우 낮은 오차로 나타남으로서 본 계측 장비의 정밀성과 유용성을 확인할 수 있었다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.1
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• pp.13-21
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• 2021

The purpose of this study is to develop the ship valuation model by utilizing the neural network model. The target of the valuation was secondhand VLCC. The variables were set as major factors inducing changes in the value of ship through prior research, and the corresponding data were collected on a monthly basis from January 2000 to August 2020. To determine the stability of subsequent variables, a multi-collinearity test was carried out and finally the research structure was designed by selecting six independent variables and one dependent variable. Based on this structure, a total of nine simulation models were designed using linear regression, neural network regression, and random forest algorithm. In addition, the accuracy of the evaluation results are improved through comparative verification between each model. As a result of the evaluation, it was found that the most accurate when the neural network regression model, which consist of a hidden layer composed of two layers, was simulated through comparison with actual VLCC values. The possible implications of this study first, creative research in terms of applying neural network model to ship valuation; this deviates from the existing formalized evaluation techniques. Second, the objectivity of research results was enhanced from a dynamic perspective by analyzing and predicting the factors of changes in the shipping. market.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.853-861
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• 2010

Experimental conditions are set with environmental factors which can affect ship navigation. In FTS simulation, infinite simulation can be theoretically tested with no time constraint but the simulated result with the same experimental condition is repeated due to mathematical model. RTS simulation can give more resonable results but costs at lest 30 minutes for only experimental time. The mixture of two simulation methods using probability density function has been proposed: some of experimental conditions in which ship-handling is most difficult are selected with FTS and are tested in RTS. It has drawback that it does not consider the navigation route but aggregated track index. In this paper, anomaly detection approach is suggested to select some experimental conditions of FTS simulation which are most difficult in ship-handling during the navigation route. An empirical result has been shown.

• Journal of Navigation and Port Research
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• v.44 no.3
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• pp.166-173
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• 2020

AtoN Accident causes navigation dangerous to ships and reduces the credibility of aids to navigation. The most light buoys on the sea have the highest accident rate from the influence of sea weather such as wind, current, and waves. However, in Korea, despite the different sea weather conditions in each sea area, in calculating the dynamic stability of the light buoy, there is a problem that only limit value conditions are applied to all sea areas. Thus, the purpose of this study was to analyze the dynamic stability of the LL-26(M) light buoy, the most installed buoy of its kind on the sea and suggest a stable operation plan for the LL-26(M) light buoy. To achieve this, after analyzing the weather for each sea area of the previous study related to the light buoy, the dynamic stability (inclination angle) was estimated by applying to the representative light buoys of each sea area wherein the number of accidents caused by sea weather was high. As a result of this study, the inclination angle of LL-26(M) light buoy for each sea area was different. That is, the inclination angle caused by winds was 10.329°-36.868°, the inclination angle caused by currents was 0.123°-18.834° and the inclination angle caused by waves was 4.777°-20.695°. The results of study can be used as basic data useful for installation standards for each sea area for stable operation of the LL-26(M) light buoy.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.1-3
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• 2016

연안여객운송은 도서와 육지의 인적 및 물적 교류가 이루어질 수 있도록 하는 유일한 교통수단으로서 그 중요성이 매우 크다. 그럼에도 불구하고 연안여객선에서의 수익성이 낮다는 이유로 그 중요성을 인식하지 못하고 있는 것이 사실이다. 그렇지만 앞으로의 연안여객 수요에 따라 향후 도서민들에게 안정적인 서비스를 제공하기 위해 선박의 추가 투입 및 시설 확충을 위한 의사결정에서 가장 기본이 되는 것이 연안여객의 수요를 예측하는 것이다. 본 논문 에서는 가장 많은 여객 수요를 가지고 있는 제주지역 중에서도 세월호 이후에 끊긴 인천과 제주 항로에 초점을 맞추어 연구를 진행할 것이다. 2007년 1월부터 2013년 12월 까지 84개의 월별 자료를 바탕으로 예측 기법 중에서도 계량적 기법인 시계열 분석을 통해 여객 수요를 예측하고자 한다. 예측 작업에 있어 항상 우수한 성과를 보이는 단 하나의 모형은 존재하지 않기 때문에 예측에 수반된 불확실성을 줄이기 위해 다양한 예측모형을 사용한다. 여러 방법론 중에서 가장 적합도가 높은 모형을 찾아 여객 수요를 예측하고 결과를 도출하였다.