• Journal of Information Technology and Architecture
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• v.11 no.3
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• pp.359-369
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• 2014

This paper aims to analyze the change of dominion in Russian automotive market and Korea port to export cars to the Russia. First, we provide the current market structure and growth potentials of Russian automotive industry by using literature reviews and data survey. Next, we analyze the current situation to export cars through the Korean seaports using the BCG (Boston Consulting Group)'s matrix method. The analysis shows that the Russian car market has growth potential. The result of expectation of Russian major car export's port within 3~5 years since the year 2013 shows that the Pohang Port will maintain current market share because it has higher market share and growth potential. On the contrary, the Guangyang Port, Busan Port, and Ulsan Port will lose the market share because of the low growth potential. Also, the Incheon Port will become the cash cow market because it has more than 10 percent market share and higher growth potential. To increase the car export volume of ports to Russian market, this paper proposes that we should provide a differentiated service to Russian port based on the analysis of domestic or foreign car export logistics structure and flow. For further study, EA-based framework should be applied for efficient and effective policies.

• Journal of Nutrition and Health
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• v.54 no.1
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• pp.116-128
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• 2021

Purpose: The extraction conditions for bioactive components from peanut shells, which is a byproduct of peanut processing, were optimized to enhance the total phenolic content (TPC, Y1), total flavonoid content (TFC, Y2), and 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity (RSA, Y3). In addition, this study evaluated the anti-obesity effect of peanut shell extract. Methods: Optimization of ultrasonic-assisted extraction (UAE) was performed using a response surface methodology. The independent variables applied for extraction were time (X1: 5.0-55.0), temperature (X2: 26.0-94.0), and ethanol concentration (X3: 0.0%-99.5%). Quadratic regression models were derived based on the results of 17 experimental sets, and an analysis of the variance was performed to verify its accuracy and precision of the regression equations. Results: When evaluating the effects of independent variables on responses using statistically-based optimization, the independent variable with the most significant effect on the TPC, TFC, and RSA was the ethanol concentration (p = 0.0008). The optimal extraction conditions to satisfy all three responses were 35.8 minutes, 82.7℃, and 96.0% ethanol. Under these conditions, the inhibitory activities of α-glucosidase and pancreatic lipase by the extract were 86.4% and 78.5%, respectively. Conclusion: In this study, UAE showed superior extraction efficiency compared to conventional hot-water extraction in the extraction of polyphenols and bioactive materials. In addition, α-glucosidase and pancreatic lipase inhibitory effects were identified, suggesting that peanut shells can be used as effective antioxidants and anti-obesity agents in functional foods and medicines.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.11-12
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• 2015

두 선박이 정면에서 마주치며 선박간 상호 통항하거나 상대선을 추월할 경우 각 선박의 선체형상과 선속에 의한 유체력 상호작용에 따른 선박간 간섭력이 발생한다. 선박간 간섭력의 주요한 평가 요소인 횡력과 회두 모멘트의 측정을 통해 두 선박이 근접하였을 때의 위험도와 충돌을 예측할 수 있다. 선행된 간섭력에 관한 연구는 대부분 경험에 의하거나 이론적인 측면에서 관련 연구가 진행되어왔으며, 학계에서 통상적으로 널리 알려진 뉴턴의 연구(1960)에서는 깊은 수심에서 두 선박을 평행하게 항주시켰을 때 선박간 최대 흡인력은 두 선박이 정횡으로 나란하게 위치되는 지점에서 발생하고, 이때의 간섭력은 선속의 제곱에 비례한다고 추정하였다. 현대의 조선기술이 발전함에 따라 선박의 크기는 점점 대형화되고 선박의 운항 효율성 증진을 위한 다양한 선형이 개발되어 실선에 적용되고 있다. 이런 경향에 따라 과거에 비해 현대 선박 운항환경에서의 선박간 간섭은 선박의 크기 및 선형에 의한 영향이 클 것으로 판단된다. 본 연구에서는 선박의 종류별로 대표 선종을 선정하여 두 선박이 정면에서 마주치며 통과하는 운항조건에서의 선속 증가에 따른 선박 상호간 간섭력의 변화를 통상적으로 사용되는 선박조종시뮬레이터를 이용하여 실험 및 분석하여 상관관계를 도출하였다. 선박 유형에 따른 시뮬레이션 실험 결과 최대 횡력은 주로 선미 부근에서 발생하였고 최대 회두모멘트는 선수가 근접할 때 발생하였으며, 선속이 증가할수록 선박 상호간 근접거리가 좁혀졌고 선형별로 각기 다른 선속에서 선미 충돌이 발생하였다. 이 실험연구는 선형에 따른 선박 상호간 근접 시의 횡거리와 통과속력에 대한 기준 설정의 연구 근간을 마련하였고 선박간 교항시 안전운항을 위한 지침이 될 것으로 판단된다.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1173-1183
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• 2023

Over the past 20 years, Korea's overall import and export cargo volume has increased at an average annual rate of approximately 5.3%. About 99% of the cargo is still being transported by sea. Due to recent increases in maritime cargo volume, congestion in maritime logistics has become challenging due to factors such as the COVID-19 pandemic and conflicts. Continuous monitoring of ports has become crucial. Various ground observation systems and Automatic Identification System (AIS) data have been utilized for monitoring ports and conducting numerous preliminary studies for the efficient operation of container terminals and cargo volume prediction. However, small and developing countries' ports face difficulties in monitoring due to environmental issues and aging infrastructure compared to large ports. Recently, with the increasing utility of artificial satellites, preliminary studies have been conducted using satellite imagery for continuous maritime cargo data collection and establishing ocean monitoring systems in vast and hard-to-reach areas. This study aims to visually detect ships docked at berths in the Busan New Port using high-resolution satellite imagery and quantitatively evaluate berth utilization rates. By utilizing high-resolution satellite imagery from Compact Advanced Satellite 500-1 (CAS500-1), Korea Multi-Purpose satellite-3 (KOMPSAT-3), PlanetScope, and Sentinel-2A, ships docked within the port berths were visually detected. The berth utilization rate was calculated using the total number of ships that could be docked at the berths. The results showed variations in berth utilization rates on June 2, 2022, with values of 0.67, 0.7, and 0.59, indicating fluctuations based on the time of satellite image capture. On June 3, 2022, the value remained at 0.7, signifying a consistent berth utilization rate despite changes in ship types. A higher berth utilization rate indicates active operations at the berth. This information can assist in basic planning for new ship operation schedules, as congested berths can lead to longer waiting times for ships in anchorages, potentially resulting in increased freight rates. The duration of operations at berths can vary from several hours to several days. The results of calculating changes in ships at berths based on differences in satellite image capture times, even with a time difference of 4 minutes and 49 seconds, demonstrated variations in ship presence. With short observation intervals and the utilization of high-resolution satellite imagery, continuous monitoring within ports can be achieved. Additionally, utilizing satellite imagery to monitor changes in ships at berths in minute increments could prove useful for small and developing country ports where harbor management is not well-established, offering valuable insights and solutions.

• Journal of Korea Port Economic Association
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• v.27 no.2
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• pp.241-260
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• 2011

This paper qualitatively describes logistics behaviors of 113 companies located in Daegu-Gyeongbuk by considering various characteristics such as business location, trade volume, cargo types and the possession of company's own warehouse. A logit model is developed to investigate how predictor variables affect these companies' inclination of utilizing Third Party Logistics Provider(3PL). The estimation results of 102 effective data points show that among the four predictors the location of company's HQs (HQADD) and trade volume (TRDTEU) significantly increase company's tendency towards utilizing 3PL while the remaining two variables (BULK, WAREHS) imparting statistically insignificant influence. The results indicate that those companies located outside the region tend to implement a strategy of using more 3PL and also that the larger the trade volume of the company the more 3PL the company uses to improve the efficiency in logistics.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.1019-1032
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• 2009

The city gas demand data has strong seasonality. Thus, the seasonality factor is the majority for the development of forecasting model for city gas supply amounts. Also, real city gas demand amounts can be affected by other factors; weekday effect, holiday effect, the number of validity day, and the number of consumptions. We examined the degree of effective power of these factors for the city gas demand and proposed a time-series model for efficient forecasting of city gas supply. We utilize the liner regression model with autoregressive regression errors and we have excellent forecasting results using real data.

• Proceedings of KOSOMES biannual meeting
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• 2007.05a
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• pp.203-210
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• 2007

This paper treats optimal route safety assessment system at seaway based on weather forecasting data through INMARSAT. Since early times, captain have been sailing to select the optimum route considering the weather, ship loading status condition and operational scheduling empirically. However, it is rare to find digitalized onboard route support system whereas weather facsimile or wave and swell chart are utilized for the officer, based on captain's experience. In this paper, optimal route safety assessment system which is composed of voyage efficiency and safety component is introduced. Optimum route minimized ETA(estimated time of arrival) and fuel consumption that shipping company. and captain are requiring to evaluate for efficient voyage considering speed loss and power increase based on wave added resistance of ship. In the view point of safety, seakeeping prediction is performed based on 3 dimensional panel method Basically, the weather forecast is assumed to be prepared previously in order to operate this system.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.6
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• pp.110-117
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• 2011

Seashore landfill projects use undersea pump dredging method for construction of airport and factory site. Coarse grain soil from the dredging is considered for use at inland. West sea shore bottom consists of primarily coarser grained silt-sand and this component contains far more percentage than is the case with East sea and South sea area. This soil shows very different characteristic at consolidation and compaction behavior. This research targets to utilize this type of dredging soil. Test specimen is from West sea (Saemangum) dredged soil landfill site. Model analysis is done for getting prediction of original soil relative density and N-value from dynamic compaction energy variance. Dynamic compaction energy is calculated for efficient foundation design.

• Journal of Korea Port Economic Association
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• v.37 no.1
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• pp.71-85
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• 2021

A variety of methods have been proposed through a number of studies on sophisticated demand forecasting models that can reduce logistics costs. These studies mainly determine the applicable demand forecasting model based on the pattern of demand quantity and try to judge the accuracy of the model through statistical verification. Demand patterns can be broadly divided into regularity and irregularity. A regular pattern means that the order is regular and the order quantity is constant. In this case, predicting demand mainly through regression model or time series model was used. However, this demand is called "intermittent demand" when irregular and fluctuating amount of order quantity is large, and there is a high possibility of error in demand prediction with existing regression model or time series model. For items that show intermittent demand, predicting demand is mainly done using Croston or HOLTS. In this study, we analyze the demand patterns of various items of air cargo with intermittent patterns and apply the most appropriate model to predict and verify the demand. In this process, intermittent optimal demand forecasting model of air cargo is proposed by analyzing the fit of various models of air cargo by item and region.

• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.475-483
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• 2009

In this paper we introduced a class of nonlinear time series models to analyse KOSPI data. We introduce the Generalized Power-Transformation TGARCH (GPT-TGARCH) model and the model includes Zakoian (1993) and Li and Li (1996) models as the special cases. We showed the effectiveness and efficiency of the new model based on KOSPI data.