• Title/Summary/Keyword: Model-ship correlation

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Analysis of Correlation between Marine Traffic Congestion and Waterway Risk based on IWRAP Mk2 (해상교통혼잡도와 IWRAP Mk2 기반의 항로 위험도 연관성 분석에 관한 연구)

  • Lee, Euijong;Lee, Yun-sok
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.5
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    • pp.527-534
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    • 2019
  • Several types of mathematical analysis methods are used for port waterway risk assessment based on marine traffic volume. In Korea, a marine traffic congestion model that standardizes the size of the vessels passing through the port waterway is applied to evaluate the risk of the waterway. For example, when marine traffic congestion is high, risk situations such as collisions are likely to occur. However, a scientific review is required to determine if there is a correlation between high density of maritime traffic and a high risk of waterway incidents. In this study, IWRAP Mk2(IALA official recommendation evaluation model) and a marine traffic congestion model were used to analyze the correlation between port waterway risk and marine traffic congestion in the same area. As a result, the linear function of R2 was calculated as 0.943 and it was determined to be significant. The Pearson correlation coefficient was calculated as 0.971, indicating a strong positive correlation. It was confirmed that the port waterway risk and the marine traffic congestion have a strong correlation due to the influence of the common input variables of each model. It is expected that these results will be used in the development of advanced models for the prediction of port waterway risk assessment.

Panamax Second-hand Vessel Valuation Model (파나막스 중고선가치 추정모델 연구)

  • Lim, Sang-Seop;Lee, Ki-Hwan;Yang, Huck-Jun;Yun, Hee-Sung
    • Journal of Navigation and Port Research
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    • v.43 no.1
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    • pp.72-78
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    • 2019
  • The second-hand ship market provides immediate access to the freight market for shipping investors. When introducing second-hand vessels, the precise estimate of the price is crucial to the decision-making process because it directly affects the burden of capital cost to investors in the future. Previous studies on the second-hand market have mainly focused on the market efficiency. The number of papers on the estimation of second-hand vessel values is very limited. This study proposes an artificial neural network model that has not been attempted in previous studies. Six factors, freight, new-building price, orderbook, scrap price, age and vessel size, that affect the second-hand ship price were identified through literature review. The employed data is 366 real trading records of Panamax second-hand vessels reported to Clarkson between January 2016 and December 2018. Statistical filtering was carried out through correlation analysis and stepwise regression analysis, and three parameters, which are freight, age and size, were selected. Ten-fold cross validation was used to estimate the hyper-parameters of the artificial neural network model. The result of this study confirmed that the performance of the artificial neural network model is better than that of simple stepwise regression analysis. The application of the statistical verification process and artificial neural network model differentiates this paper from others. In addition, it is expected that a scientific model that satisfies both statistical rationality and accuracy of the results will make a contribution to real-life practices.

Verification of Propeller-Induced Fluctuating Pressure in Sea Trials (실선에서의 프로펠러 변동압력 성능 검증)

  • Song In-Haeng;Seo Jongsoo;Paik Kwangjun;Jung Jaekwon
    • Special Issue of the Society of Naval Architects of Korea
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    • 2005.06a
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    • pp.44-50
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    • 2005
  • Since a cavitation pattern in model scale can be different from that in full scale, it has been highly demanded to measure a fluctuating pressure induced by propeller in full scale. For the verification of the cavitation test for 105K lanker in the large cavitation tunnel in Samsung Ship Model Basin(SSMB), an effective pressure fluctuation measurement system was developed and a series of full scale measurements was carried out. These results were compared with those of cavitation tests in SSMB. The measured results in full scale gave good agreements to those in model tests. The fluctuating pressure at $2^{nd}$ blade frequency in full scale seems to be highly dependent upon tip loading.

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Parametric Modeling and Numerical Simulation of 3-D Woven Materials (3차원 엮임 재료의 파라메트릭 모델링 및 수치적 재료 특성 분석)

  • Sim, Kichan;Ha, Seung-Hyun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.5
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    • pp.331-338
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    • 2020
  • In this study, the characteristic of a 3-D micro-woven material, which is one of the newly developed periodic open-cell structure, is analyzed through various computational simulations. To increase the accuracy of the numerical simulations, the distance between each directional wire is parameterized using six design variables, and its model geometry is precisely discretized using tetrahedron elements. Using the improved computational model, the material properties of the mechanical, thermal, and fluidic behavior are investigated using commercial software and compared with the previous experimental results. By changing the space between the x- and y-directional wires, a parametric test is performed to determine the tendency of the change in the material properties. In addition, the correlation between two different material properties is investigated using the Ashby chart. The result can further be used in determining the optimal pattern and wire spacing in 3-D micro-woven materials.

The Effect of Uncertainty in Sea Trial Measurement System on Speed-Power Performance

  • Seo, Dae-Won;Noh, Jackyou
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.3
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    • pp.269-276
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    • 2020
  • Sea trial tests are necessary to verify speed-power performance, and are an import contract between ship owners and shipyards. The International Organization for Standardization (ISO) published ISO 15016:2015, which specifies the correlation method between model and full-scale ships. The results of sea trials have been questioned because of the uncertainty of speed and power measurements, especially when sea conditions differ from ideal calm water conditions. In this paper, such uncertainties were investigated by utilizing the standard speed-power trial analysis procedure defined in ISO 15016:2015 through Monte Carlo simulations. It was found that the expanded uncertainty of the delivered power (PDid) at 95 % confidence interval (k = 2) was ±1.5 % under 75 % MCR conditions.

Animation construction and application example by the post-processing of PIV data (PIV데이터의 post-processing에 의한 애니메이션 제작 및 적용예)

  • Kim, M.Y.;Choi, J.W.;Lee, H.;Lee, Y.H.
    • Proceedings of the KSME Conference
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    • 2000.04b
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    • pp.655-660
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    • 2000
  • Animation technique from the PIV database is particularly emphasized to give macroscopic and quantitative description of complex flow fields. This paper shows animation construction and application example for the post-processing of PIV data. As examples, first case is a pitching airfoil immersed in tree surface water circulating tunnel. Second case is a wake of a model-ship. Third case of PIV data is a large scale surface flow field. Obtained images are processed in time sequence by PIV exclusive routines where an efficient and reliable cross correlation algorithm is included for vector identification. All. animation Jobs are implemented completely on single personal computer environment. Compressed digital images are obtained initially by Motion-JPEG board and various An files are finally obtained through graphic processes.

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A Study on the Early Warning Model of Crude Oil Shipping Market Using Signal Approach (신호접근법에 의한 유조선 해운시장 위기 예측 연구)

  • Bong Keun Choi;Dong-Keun Ryoo
    • Journal of Navigation and Port Research
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    • v.47 no.3
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    • pp.167-173
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    • 2023
  • The manufacturing industry is the backbone of the Korean economy. Among them, the petrochemical industry is a strategic growth industry, which makes a profit through reexports based on eminent technology in South Korea which imports all of its crude oil. South Korea imports whole amount of crude oil, which is the raw material for many manufacturing industries, by sea transportation. Therefore, it must respond swiftly to a highly volatile tanker freight market. This study aimed to make an early warning model of crude oil shipping market using a signal approach. The crisis of crude oil shipping market is defined by BDTI. The overall leading index is made of 38 factors from macro economy, financial data, and shipping market data. Only leading correlation factors were chosen to be used for the overall leading index. The overall leading index had the highest correlation coefficient factor of 0.499 two months ago. It showed a significant correlation coefficient five months ago. The QPS value was 0.13, which was found to have high accuracy for crisis prediction. Furthermore, unlike other previous time series forecasting model studies, this study quantitatively approached the time lag between economic crisis and the crisis of the tanker ship market, providing workers and policy makers in the shipping industry with an framework for strategies that could effectively deal with the crisis.

Wave Prediction in a Harbour using Deep Learning with Offshore Data (딥러닝을 이용한 외해 해양기상자료로부터의 항내파고 예측)

  • Lee, Geun Se;Jeong, Dong Hyeon;Moon, Yong Ho;Park, Won Kyung;Chae, Jang Won
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.33 no.6
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    • pp.367-373
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    • 2021
  • In this study, deep learning model was set up to predict the wave heights inside a harbour. Various machine learning techniques were applied to the model in consideration of the transformation characteristics of offshore waves while propagating into the harbour. Pohang New Port was selected for model application, which had a serious problem of unloading due to swell and has lots of available wave data. Wave height, wave period, and wave direction at offshore sites and wave heights inside the harbour were used for the model input and output, respectively, and then the model was trained using deep learning method. By considering the correlation between the time series wave data of offshore and inside the harbour, the data set was separated into prevailing wave directions as a pre-processing method. As a result, It was confirmed that accuracy and stability of the model prediction are considerably increased.

A Comparsion study of Phonation Threshold Pressure and Nasalance according to vowels (모음에 따른 발성역치압력과 비성도 특성 비교 연구)

  • Lee, Inae;Hwang, Young-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.2
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    • pp.721-727
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    • 2013
  • This study sought to compare the difference of Phonation Threshold Pressure and Nasalance according to vowels. We tested 28 normal females(20~30age) who be in attendance at a school from May to August 2012. We measured Phonation Threshold Pressure through PAS(Phonatory aerodynamic system, model 6600, KAY electronics, Inc) that aero-mechanical instrument called. Phonation Threshold Pressure was measured by using the consonant /p/ and the three vowels /a, i, u/ and was analyzed the three times of Phonation the five times. Also We measured Nasalance through the Nasometer${\Pi}$(model 6450, KAY electronics, Inc). The vowel's phonation was recored by using the three vowels /a, i, u/. the nasalance score was measured via Nasometer. As a Result, Phonation Threshold Pressure according to three vowels show significantly difference. Also, Nasalance according to three vowels show significantly difference. Finally, Correlation coefficient of Phonation Threshold Pressure and Nasalance according to three vowels show positive relation ship. Therefore Phonation Threshold Pressure and Nasalance according to three vowels have closely relationship.

Cooperative Experimental Study on Deck Wettings for the S-175 Container Ship Model (S-175 콘테이너 모형선의 갑판침수현상에 대한 공동 조사연구)

  • Kwang-June Bai;Do-Chun Hong;Seok-Won Hong;Sa-Young Hong;Deuk-Joon Yum;In-Kyu Park
    • Journal of the Society of Naval Architects of Korea
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    • v.29 no.1
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    • pp.71-80
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    • 1992
  • The Seakeeping committee of Korea Towing Tank Conference executed the cooperative experimental study on deck wetting phenomena using S-175 contatiner model ships. Two members, Korea Research Institute of Ships and Ocean Engineering(KRISO) and Hyundai Maritime Research Institute(HMRI) participated in the study. This study was initiated by the ITTC(International Towing Tank Conference) Seakeeping Committee as the cooperative study of the 19th ITTC aiming at the establishement of the model test procedure on the deck wetting phenomena. Special emphasis was made on the determination of reliable record length for experimental measurement on rarely occurring events(such as deck wetness, slamming etc). Comparisons were made on both the test results and the test procedrues in this research. The measured frequencies of deck wetting show remarkable deviations between the runs. This fart implies that sufficiently long record length is required in the deck wetness measurement compared to the conventional ship motion tests. Careful considerations were made on the physical interpretation of the deck wetting phenomena, the correlation between the measured relative motion at stemhead and the measured deck wetness, and the estimation of deck wetting frequencies by Poisson process.

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