• Bulletin of Food Technology
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• v.26 no.2
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• pp.92-100
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• 2013

배추 절임 공정에서 위해 미생물로부터의 안전성 확보를 위한 위생적 세척 처리기술개발로 효율적인 재활용 시스템을 개발하고자 전기분해수를 활용하여 실험하였다. 전기 분해수의 농도는 100 ppm 으로 염수와 전해수의 비율을 1:9, 2:8, 5:5로 20회 반복 실험을 하였다. 그 결과 기존의 절임수 재활용 횟수인 3~5회를 훨씬 초과하여 10회 이상 반복하여도 총균수가 초기에 비해 2 log CFU/g 이상 감소된 결과를 나타내었다. 또한 재활용 처리된 염수의 pH나 산도 또한 초기에 비해 큰 차이를 보이지 않아 기존의 재활용 방법에 비해 효율적인 결과를 나타내었다. 조사되어진 바에 따르면 절임 공정에서 사용되어진 염수의 회수율은 70~80%에 달했으며, 절임공정에서 본 연구에서와 같이 전해수와 사용된 절임수가 1:9 또는 2:8 비율이 효율적일 것으로 판단된다. 재활용 처리되어진 염수로 절인 배추로 김치를 제조하여 관능평가를 한 결과, 기존의 방법으로 만들어진 김치와 큰 차이를 보이지 않아 본 재활용 시스템 방법은 기존의 시스템의 문제점으로 제기되었던 절인 배추의 성상 변화와 김치의 맛의 변화의 문제점을 해결할 수 있을 것으로 판단된다.

• Economic and Environmental Geology
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• v.54 no.1
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• pp.117-126
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• 2021

Satellite magnetic observations reflect the magnetic properties of deep crust about the depth of Curie isotherm that is a boundary where the magnetic nature of the rocks is disappeared, showing long wavelength anomalies that are not easily detected in near-surface data from airborne and shipborne surveys. For this reason, they are important not only in the analyses on such as plate reconstruction of tectonic boundaries and deep crustal structures, but in the studies of geothermal distribution in Antarctic and Greenland crust, related to global warming issue. It is a conventional method to compute the spherical harmonic coefficients from global coverage of satellite magnetic observations but it should be noted that inclusion of erroneous data from the equator and the poles where magnetic observations are highly disturbed might mislead the global model of the coefficients. Otherwise, the reduced anomaly model can be obtained with less corruption by choosing the area of interest with proper data processing to the area. In this study, I produced a satellite crustal magnetic anomaly map over East Asia (20° ~ 55°N, 108° ~ 150°E) centered on Korean Peninsula, from CHAMP satellite magnetic measurements about mean altitude of 280 km during the last year of the mission, and compared with the one from global crustal magnetic model (MF7). Also, a comparison was made with long wavelength anomalies from EMAG2 model compiled from all near-surface data over the globe.

• Journal of the Korean earth science society
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• v.35 no.7
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• pp.529-536
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• 2014

In this paper, the automatic determination algorithm of strike and dip of a line source using gravity gradient on a single profile is proposed. In general, the gravity gradient tensor due to a line source has only two independent components because of its 2-Dimensional (2-D) characteristics. However, if the line source has the strike and dip regarding the observation profile, it comes to have five independent components. The proposed algorithm of the determination both strike and dip is based on the rotational transform that converts full gravity gradient tensor to reduced 2-D gravity gradient tensor. The least-square method is applied in order to find optimum rotational angles that make one of the row components minimalized simultaneously. The two synthetic cases of a line source are represented; one has strike only and the other has both strike and dip. This study finds that the automatic determination method using gravity gradient tensor can find directions of a line source in each case.

• Journal of the Korea Society for Simulation
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• v.21 no.2
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• pp.79-90
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• 2012

In this paper, a feature signal extraction method is proposed in order to enhance the low performance of fault detection caused by unbalanced data which denotes the situations when severe disparity exists between the numbers of class instances. Most of the cyclic signals gathered during the process are recognized as normal, while only a few signals are regarded as fault; the majorities of cyclic signals data are unbalanced data. SOM(Self-Organizing Map)-based feature signal extraction method is considered to fix the adverse effects caused by unbalanced data. The weight neurons, mapped to the every node of SOM grid, are extracted as the feature signals of both class data which are used as a reference data set for fault detection. kNN(k-Nearest Neighbor) and SVM(Support Vector Machine) are considered to make fault detection models with comparisons to Hotelling's $T^2$ Control Chart, the most widely used method for fault detection. Experiments are conducted by using simulated process signals which resembles the frequent cyclic signals in semiconductor manufacturing.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.131-142
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• 2016

Outliers in surveys can have a large effect on estimates of totals. This is especially true in business surveys where the populations are drawn are typically skewed. In this paper, we discussed the practical development and implementation of methods to identify and deal with outliers. A detection method is based on quartile method and detected outlier is processed in various ways. The study examines two versions of winsorised estimators with three different cut-off thresholds for each one. For the simulation study, four types of weight transformation function have been considered.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.317-330
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• 2013

The yield of rice production is affected severely by abnormal weather events, such as flood, drought, high temperature etc. The objective of this paper is to assess impacts of abnormal weather events on rice production, using a panel model which analyzes both cross-section data and ti- me series data. Abnormal weather is defined as the weather event which goes beyond the range of ${\pm}2{\sigma}$ from the average of a weather factor. The result of an analysis on impacts of high temperature on rice production showed that the yield of rice was decreased 5.8% to 16.3% under the conditions of extremely high temperature, and it was decreased 8.8 to 20.8% under the conditions of both extremely high and heavy rain. Adaptation strategies, development of new varieties enduring high temperature and heavy rain, adaptation of crop insurance, modernization of irrigation facilities are needed to minimize the impacts of abnormal weather on rice production, and to stabilize farmers' income.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.953-961
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• 2011

IGS (International GNSS Service) predicted orbits contained in IGS ultra-rapid orbits is suitable for real-time or near-real-time precise positioning. In this paper, we analyzed orbit anomalies of the IGS predicted orbits and detected the anomalies NANU (Current Notice Advisories to NAVSTAR Users) messages and IGS BRDC (Broadcast Ephemerides). As a results, the orbit anomalies of the predicted orbits were observed 93 times in 2010. In case of using the NANUs, we could get detection performance of 88% about the IGS predicted orbits's anomalies. And we could achieve 95% detection performance when the NANUs and BRDCs were used together.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.75-80
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• 2012

Abnormal navigating ships affact the ships navigating normal routes seriously. So VTS centers and Korean Coast Guard co-work(cooperate) closely to trace the ships which break the regulations and make accidents. But it is evident that there is limitations to indetify the risk factors caused by men. Unfortunately there is very few of the researches on the identificaton of risk elements by men. This paper is to implement the intelligent system for identifying abnormal navigating ships by using fuzzy inference.

• Proceedings of the KSMRM Conference
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• 1999.04a
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• pp.99-108
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• 1999

선천성 대사 이상은 다양한 뇌질환으로 나타낸다. 일반적으로 이 질환들은 하나 또는 둘이상의 대사경로에 대한 생화학적 이상에 원인이 있다. 정상적 생화학적 산물의 결핍이나 비정상적 산물의 축적에 의한 뇌기능 이상에 의해 임상증상이 나타내게 되는데 그 증상은 대개 경기, 경직성, 발육지연 등으로 비특이적이고 영상소견도 마찬가지로 비특이적이다. 대사 이상에 있어서의 신경병변은 일부 뇌백질을 주로 침범하는 경우를 제외하면 대부분 뇌백질을 침범하고 따라서 일반적으로 일차성 뇌백질 질환이 대사성 뇌질환을 일컫는다고 할 수가 있다. 뇌백질 질환은 뇌백질의 구성원중 가장 큰 부분을 차지하는 수초(myelin)를 침범하는 질환을 일컫는다. 중추신경계의 백질은 수초로 싸여있는 축삭(axon)과 선경교세포 (neuroglial cell) 및 혈관 등으로 구성되어 있으며, 이중 대부분을 수초가 차지하고 이 수초로 인하여 정상 뇌백질이 흰색을 나타낸다. 백질내의 신경교세포로는 성상세포 (astrocyte) 와 핍지세포 (oligodendrocyte)가 있으며 신 경교세포의 가장 중요한 기능은 핍지세포에 의한 축삭의 외피화 (ensheathment) 즉, 수초이다. 수초는 핍지세포의 세포질 돌기 (cytoplasmic process)의 일부이며 따라서 수초의 생존과 대사는 핍지세포와 운명을 같이한다. 일반적으로 세포의 생존, 대사와 가장 관련있는 기능은 세포질내에 함유되어 있는 구조물인 소기관(organelle)에 의하여 수행된다. 따라서, 비록 모든 소기관들이 백질 질환을 이르키는데 직접 연관되어 있지는 않더라도 수초의 생존과 대사에는 핍지세포의 소기관들이 매우 중요한 역할을 하게 된다. 세포질내 중요한 소기관으로는 세포 막, 미토콘드리아 (mitochondria), endoplasmic reticulum, Golgi 체, lysosome, peroxisome 그리고 세포질등이 있으며, 이들중에서 lysosomes, peroxisomes, 그리고 미토콘드리아가 특정한 유전성 백질질환에 중요한 역할을 하는 것이 밝혀졌다. 이러한 질환들은 최소한 각 소기관에 의한 질환군으로 분류될 수 있다.

• The Korean Journal of Applied Statistics
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• v.5 no.2
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• pp.255-268
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• 1992

We propose an iterated interpolation approach for the estimation fo time series parameters in the presence of outliers. The proposed approach iterates the parameter estimation stage and the outlier detection stage until no further outliers are detected. For the detection of outliers, interpolation diagnostic is applied, where the atypical observations by the one-step-ahead predictor instead of downweighting is also proposed. The performance of the proposed estimation methods is compared with other robust estimation methods by simulation study. It is observed that the iterated interpolation approach performs reasonably well is general, especially for single AO case and large $\phi$ in absolute values.