• Journal of Navigation and Port Research
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• v.27 no.4
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• pp.359-366
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• 2003

The paper describes on the construction and analysis of marine casualty numerical D/B (N-D/B) to implement Korean MArine Casualty Forecasting System (K-MACFOS). The main target of K-MACFOS is to broadcast the prediction number and risk level of marine casualties as like daily weather forecasting. The data relating to a total of 724 ship casualties in the west-southern sea area (33oN∼35oN, 124oE∼127oE) of Korean peninsula for 11 years (1990∼2000) have been compiled and converted into quantitative data with 14 numeric conversion scales. Through the statistical analysis using contour-map visualization, the usability of N-D/B and the casualty features of the target sea areas are discussed. In addition, the optimum year-band selection method is also proposed to provide correct N-D/B analysis and precise prediction of the number of marine casualties.

• Korean Journal of Food Science and Technology
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• v.32 no.2
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• pp.424-430
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• 2000

The purpose of the study was to investigate effect of addition of mutant strains of both Leuconostoc mesenteroides and Leu. paramesenteroides on extending shelf-life of Kimchi. The mutant strains have an increased adipic acid resistance in comparison with that of their paired wild types. Addition of both strains was more effective than that of one strain alone to extend shelf-life of Kimchi. The optimal amount of inoculation was determined as 0.005% of the two mixed mutant strains with a ratio of 1 : 10, Leu. mesenteroides : Leu. paramesenteroides based on the results of acidification and organoleptic tests.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.93-102
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• 2009

A prediction of streamflow based on multi-objective function is presented to check the performance of Probability Distributed Model(PDM) in Miho stream basin, Chungcheongbuk-do, Korea. PDM is a lumped conceptual rainfall runoff model which has been widely used for flood prevention activities in UK Environmental Agency. The Monte Carlo Analysis Toolkit(MCAT) is a numerical analysis tools based on population sampling, which allows evaluation of performance, identifiability, regional sensitivity and etc. PDM is calibrated for five model parameters by using MCAT. The results show that the performance of model parameters(cmax and k(q)) indicates high identifiability and the others obtain equifinality. In addition, the multi-objective function is applied to PDM for seeking suitable model parameters. The solution of the multi-objective function consists of the Pareto solution accounting to various trade-offs between the different objective functions considering properties of hydrograph. The result indicated the performance of model and simulated hydrograph are acceptable in terms on Nash Sutcliffe Effciency*(=0.035), FSB(=0.161), and FDBH(=0.809) to calibration periods, validation periods as well.

• The Journal of the Korea Contents Association
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• v.6 no.6
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• pp.26-32
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• 2006

Predictions on stock prices have been a hot issue in stock market as people get more interested in stock investments. Assuming that the stock price is moving by a trend in a specific pattern, we believe that a model can be derived from past data to describe the change of the price. The best model can help predict the future stock price. In this paper, our model derivation is based on automata over temporal data to which the model is explicable. We use Bayesian Information Criterion(BIC) to determine the best number of states of the model. We confirm the validity of Bayesian Information Criterion and apply it to building models over stock price indices. The model derived for predicting daily stock price are compared with real price. The comparisons show the predictions have been found to be successful over the data sets we chose.

• Journal of the Korean Society of Food Science and Nutrition
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• v.20 no.5
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• pp.503-508
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• 1991

The salted and dried mullet(Mugil Japonicus) roe had about 42% of protein and 41% of lipid content as major compoments. Therefore the lipid oxidation and the deterioration of protein occurred during drying and storage periods. In order to keep the good quality of the dried roe, acid, peroxide, thiobarbituric acid value and the contitutional amino acid were studied in the different drying air velocities at the conditions of 60% R.H. and $20^{\circ}C$ of drying air temperature. The optimum air velocity showed 2m/sec, which was excellently superior to the lipid and protein quality than those of other air velocities on the dried mullet roe. The drying period shortened from 20 days in the conventional processing method to 7 days in the modified processing method that had 2m/sec of drying air velocity. The drying rate curve had only a falling-rate drying period and not to have a constant-rate drying period.

• Journal of Applied Biological Chemistry
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• v.61 no.4
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• pp.357-365
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• 2018

The quality of Korean doenjang, which was traditionally made for this study, was monitored for physicochemical properties, antioxidant capacity, and sensory properties at six months intervals for three years. The collected data were comprehensively analyzed using the k-means clustering via principal component analysis (PCA) to determine the optimal intake duration and sensory factors associated with acceptance. Doenjang samples were classified with every year interval based on PCA, and then the classified doenjang samples were further grouped into cluster one, two, and three based on the k-means clustering. In Cluster three, doenjang that was aged for thirty and thirty-six months, respectively, showed high total phenolic content, antioxidant capacity, superoxide dismutase like activity, and 2,2-diphenyl-1-picryl-hydrazyl radical scavenging capacity. Interestingly, along with acceptance, the levels of free amino acids and organic acids were higher in Cluster 3. The sensory factors found to be associated with acceptance included umami taste and brown color. In conclusion, this study proposes the intake of doenjang aged for thirty months based on its antioxidant activity and sensory properties although doenjang is usually ready after twelve months of aging.

• Journal of Korea Water Resources Association
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• v.44 no.11
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• pp.889-902
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• 2011

In this study, frequency analysis using drought index had implemented for the derivation of drought severity-duration-frequency (SDF) curves to enable quantitative evaluations of past historical droughts having been occurred in Korean Peninsular. Seoul, Daejeon, Daegu, Gwangju, and Busan weather stations were selected and precipitation data during 1974~2010 (37 years) was used for the calculation of Standardized Precipitation Index (SPI) and frequency analysis. Based on the results of goodness of fit test on the probability distribution, Generalized Extreme Value (GEV) was selected as most suitable probability distribution for the drought frequency analysis using SPI. This study can suggest return periods for historical major drought events by using newrly derived SDF curves for each stations. In case of 1994~1995 droughts which had focused on southern part of Korea. SDF curves of Gwangju weather station showed 50~100 years of return period and Busan station showed 100~200 years of return period. Besides, in case of 1988~1989 droughts, SDF of Seoul weather station were appeared as having return periods of 300 years.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.354-354
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• 2011

금강유역에 대한 기후변화 영향을 기후모형 및 수자원영향평가모형을 통하여 정량적으로 분석하기 위하여 한반도 최적 GCM모형으로 기상청에서 제공하는 ECHO-G GCM모형과 역학적 다운스케일링 기법을 이용한 공간해상도 27km의 지역규모의 MM5 RCM모형을 이용하였다. A1B시나리오 기반으로 고해상도 기후변화 시나리오를 작성하여 분석기간을 2015년대(2001-2030), 2045년대(2031-2060), 2075년대(2061-2090)로 구분하여 미래 연평균강수량, 기온 등을 전망하였고, 과거 30년 자료의 100년빈도 강수량과 미래의 100년 빈도강수량의 변동성을 평가하였다. 기본적으로 GCM 및 RCM은 시공간적 스케일의 상이성으로 인해 수자원 영향 평가를 위한 자료로서 직접적인 이용은 현실적으로 곤란하다는 점에서 본 연구에서는 RCM 격자자료를 유역단위에서 강우관측소 지점 단위로 공간적 Downscaling을 실시하였으며 RCM 월자료에 대해서 일단위 자료로 시간적 Downscaling을 수행하여 기후모델로부터 발생하는 시공간적 스케일의 문제점을 극복하였다. 또한 유역단위의 상세수문시나리오를 생산하기 위해서 다지점 비정상성 Downscaling 기법을 활용하여 기존 일강수량 모의기법에서 간과 되었던 비정상성을 고려하여 미래 기후변화에 따른 강수사상의 변동성을 다양한 방법으로 검토하였다. 2001년~2006년 기간동안 SWAT모형을 이용하여 용담댐유역 용담댐 지점의 유입량과 SWAT의 최종방류부의 유량분석값을 비교한 결과 모의치와 실측치가 90.1% 일치하는 것으로 나타났고, 천천수위관측소 지점의 유량을 모형결과와 비교분석 한 결과에서도 91.3% 일치하는 것으로 나타났다. 한편, 대청댐 지점의 유입량과 SWAT의 최종방류부의 유량분석값을 비교한 결과 모의치와 실측치가 84.4% 일치하는 것으로 나타나 금강유역내 용담댐 및 대청댐을 대상으로 유출분석 검토 결과 적용성이 있음을 확인하였다. 기후변화 분석기간은 2011년부터 2090년까지 80년을 대상기간 으로 선정하였으며, 분석결과 2011~2020년 사이 유출량이 18%증가하는 것으로 전망되었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1243-1249
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• 2018

In this paper, we propose a scheme that tunes the backoff period for enhancing the system throughput with estimating the number of devices in IEEE 802.15.4 slotted carrier sense multiple access with collision avoidance (CSMA/CA) networks. Since each device does not sense the channel always in IEEE 802.15.4 slotted CSMA/CA networks, a personal area network (PAN) coordinator is used to estimate the number of active devices. The PAN coordinator broadcasts an optimal backoff period for the estimated number of devices through a beacon frame. In order to estimate the number of devices in run time, a simple moving average filter is utilized. We show the performance of our proposed scheme in terms of the estimated number of devices and the system throughput. The simulation results show that our proposed scheme can obtain higher system throughput than the IEEE 802.15.4 standard.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.677-683
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• 2006

If a node stops functioning in an ad-hoc wireless network, routing paths involving the node will also fail, when construction of replacement routes is required. A major cause of node failure is energy exhaustion, and route replacements may in turn lead to successive node failures by making more nodes consume their energy. The result could be performance degradation of networks. Therefore it is important to ensure that nodes with limited remaining energy are not included in route construction from the beginning. In this paper we propose a new routing protocol, which takes residue energy of nodes into account in order to prevent node failures resulting from energy shortage. Our routing protocol examines the smallest value of node residue energy ($E_{m}$) from each of all possible routing paths and selects the path which has the largest value of $E_{m}$. We prove, through simulation, that our routing protocol extends the lifetime of nodes which have limited amount of energy, reducing chances of path replacement. It is also shown that our proposed protocol helps alleviate network performance degradation.