• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.5 s.153
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• pp.699-710
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• 2006

The objective of this study was to identify the texture-related components of woven fabrics and to develop a multidimensional perceptual structure map to represent the tactile textures. Eighty subjects in clothing and tektite industries were selected for multivariate data on each fabric of 30 using the questionnaire with 9 pointed semantic differential scales of 20 texture-related adjectives. Data were analyzed by factor analysis, hierarchical cluster analysis, and multidimensional scaling(MDS) using SPSS statistical package. The results showed that the five factors were selected and composed of density/warmth-coolness, stiffness, extensibility, drapeability, and surface/slipperiness. As a result of hierarchical cluster analysis, 30 fabrics were grouped by four clusters; each cluster was named with density/warmth-coolness, surface/slipperiness, stiffness, and extensibility, respectively. By MDS, three dimensions of tactile texture were obtained and a 3-dimensional perceptual structure map was suggested. The three dimensions were named as surface/slipperiness, extensibility, and stiffness. We proposed a positioning perceptual map of fabrics related to texture naming system(TNS). To classify the textural features of the woven fabrics, hierarchical cluster analysis containing all the data variations, even though it includes the errors, may be more desirable than texture-related multidimensional data analysis based on factor loading values in respect of the effective variables reduction without losing the critical variations.

• Journal of Korean Society on Water Environment
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• v.32 no.5
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• pp.433-441
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• 2016

Many large dams have been constructed for water supply, irrigation, flood control and hydropower in Korea for the last century. Meanwhile, recent studies indicated that the artificial reservoirs impounded by these dams are major sources of carbon dioxide (CO₂) to the atmosphere and relevant to global budget of green house gases. However, limited information is available on the seasonal variations of CO₂ evasion from the reservoirs located in the temperate monsoon regions including Korea. The objectives of this study were to estimate daily Net Atmospheric Flux (NAF) of CO₂ in Daecheong Reservoir located in Geum River basin of Korea, and analyze the influencing parameters that characterize the variation of NAF. Daily pH and alkalinity (Alk) data collected in wet year (2012) and dry year (2013) were used for estimating the NAFs in the reservoir. The dissolved inorganic carbon (DIC) was computed using the pH and Alk measurements supposing an equilibrium state among the carbonate species. The results showed seasonal variations of NAF; negative NAFs from May to October when the primary production of the reservoir increased with water temperature increase, while positive NAF for the rest of the period. Overall the reservoir acted as sources of CO₂ to the atmosphere. The estimated NAFs were 2,590 and 771 mg CO₂ m^-2d^-1 in 2012 and 2013, respectively, indicating that the NAFs vary a large extent for different hydrological years. Statistical analysis indicated that the NAFs are negatively correlated to pH, water temperature, and Chl-a concentration of the reservoir.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.1
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• pp.89-110
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• 2010

Relying on the concept of "multicultural space", this paper aims to examine the ways in which the adaptation of foreign professional migrants to the Korean society has been geographically differentiated. Due to the limits of spatial perspectives, existing studies on the adaptation of foreign migrants to the Korean society tend to ignore the geographical variations in the ways in, and the degrees at, which foreign migrants have been adapted into the Korean society. There are, however, significant regional variations in the living conditions, physical and cultural environments, and economic opportunities that are given to the foreign migrants in Korea, so that the adaptation of foreign migrants to the Korean society is regionally differentiated. In order to prove this, this paper explores whether and how the ways in which foreign professional migrants have adapted to the Korean society have been regionally differentiated on the basis of questionnaire surveys and statistical analyses.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.6
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• pp.1-9
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• 2020

Reservoir storage and water level information is essential for accurate drought monitoring and prediction. In particular, the agricultural drought has increased the risk of agricultural water shortages due to regional bias in reservoirs and water supply facilities, which are major water supply facilities for agricultural water. Therefore, it is important to evaluate the available water capacity of the reservoir, and it is necessary to determine the water surface area and water capacity. Remote sensing provides images of temporal water storage and level variations, and a combination of both measurement techniques can indicate a change in water volume. In areas of ungauged water volume, satellite remote sensing image acts as a powerful tool to measure changes in surface water level. The purpose of this study is to estimate of reservoir storage and level variations using satellite remote sensing image combined with hydrological statistical data and the Normalized Difference Water Index (NDWI). Water surface areas were estimated using the Sentinel-2 satellite images in Seosan, Chungcheongnam-do from 2016 to 2018. The remote sensing-based reservoir storage estimation algorithm from this study is general and transferable to applications for lakes and reservoirs. The data set can be used for improving the representation of water resources management for incorporating lakes into weather forecasting models and climate models, and hydrologic processes.

• Korean Journal of Remote Sensing
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• v.17 no.2
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• pp.183-188
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• 2001

The NOAA AVHRR remotely sensed SST data, collected by the National Fisheries Research and Development Institute (NFRDI), are analyzed in order to understand the spatial and temporal distributions of SST in the sea near korea. Our study is based on 10-day SST images during last 7 years (1991-1997). For a time series analysis of multiple SST images, all of images must be consistent exactly at the same position by adjusting the scales and positions of each SST image. We devised an algorithm which automatically detects cloud pixels from multiple SST images. The cloud detection algorithm is based on a physical constraint that SST anomalies in the ocean do not exceed certain limits (we used $\pm$3$^{\circ}C$ as a criterion of SST anomalies). The remotely sensed SST data are tuned by comparing remotely sensed data with observed SST at coastal stations. Seasonal variations of SST are studied by harmonic fit of SST normals at each pixel and the SST anomalies are studied by statistical method. It was found that the SST anomalies are rather persistent for one or two months. Utilizing the persistency of SST anomalies, we devised an algorithm for a prediction of future SST. In the Markov lprocess model of SST anomalies, autoregression coefficients of SST anomalies during a time elapse of 10 days are between 0.5 and 0.7. The developed algorithm with automatic cloud pixel detection and rediction of future SST is expected to be incorporated to the operational real time service of SST around Korea.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.46.3-47
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• 2020

Variations in the brightness of asteroids are caused by their spins, irregular shapes and companions. Thus, in principle, the spin state and shape model of a single object or, a combined model of spins, shapes and mutual orbit of a multiple components can be constructed from the analysis of light curves obtained from the time-series photometry. Using ground- and space-based facilities, a number of time-series photometric observations of asteroids have been conducted to find the possible causes of their light variations. Nonetheless, only about 2% of the known asteroids have been confirmed for their rotation periods. Therefore, a follow-on systematic photometric survey of asteroids is essential. We started an asteroid light curve survey for this purpose using Korea Microlensing Telescope Network (KMTNet) during 199 nights between the second half of 2019 and the first half of 2020. We monitored within a 2° × 14° region of the sky per each night with 25 min cadences. In order to observe as many asteroids as possible with a single exposure, we mostly focus on the ecliptic plane. In our survey, 25,925 asteroids were observed and about 8,000 of them were confirmed for their rotation periods. In addition, using KMTNet's 24-hour continuous monitoring, we collected many composite light curves of slow rotating asteroids that were rarely obtained with previous observations. In this presentation, we will introduce the typical light curves of asteroids obtained from our survey and present a statistical analysis of spin states and shapes of the asteroids from this study.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.9
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• pp.3785-3792
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• 2015

The CCAAT/enhancer-binding protein-alpha (CEBPA) is a transcriptional factor that plays a crucial role in the control of proliferation and differentiation of myeloid precursors. This gene was recognized as the target of genetic alterations and were associated with clinical complexity among AML. We here analyze the frequency and types of CEBPA mutations and polymorphisms in a de novo AML patients from South India and tried to find out associations of these variations with different clinical parameters and the prognostic significance in AML. Study was carried out in 248 de novo AML patients, cytogenetic analysis was performed from the bone marrow samples and was karyotyped. PCR-SSCP analysis and sequencing was performed for the detection of CEBPA gene variations. All the statistical analysis was performed using SPSS 17 (statistical package for social sciences) software. Pearson Chi-square test, Mann-Whitney U test, Kaplan-Meier survival analysis and log rank tests were performed. CEBPA mutations were detected in 18% and CEBPA polymorphisms were detected in 18.9% of AML cases studied. Most of the mutations occured at the C terminal region. Polymorphisms were detected in both N and C terminal region. with most common being, c.584_589dup ACCCGC and c.690G>T. A significant association was not observed for the mutation and polymorphism with respect to clinical and laboratory parameters. Survival advantage was observed for the mutated cases compared to non mutated cases, especially for the normal karyotype groups. Polymorphisms has no effect on the survival pattern of AML patients. CEBPA mutation and polymorphisms were observed with similar frequency and was identified in all the FAB subtypes as well as in cytogenetic risk groups in our study population, but CEBPA mutations alone confer a prognostic value for NK AML patients.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.85-98
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• 2016

This study makes an empirical comparison of various realized volatilities (RVs) in terms of overnight returns. In financial asset markets, during overnight or holidays, no or few trading data are available causing a difficulty in computing RVs for a whole span of a day. A review will be made on several RVs reflecting overnight return variations. The comparison is made for forecast accuracies of several RVs for some financial assets: the US S&P500 index, the US NASDAQ index, the KOSPI (Korean Stock Price Index), and the foreign exchange rate of the Korea won relative to the US dollar. The RV of a day is compared with the square of the next day log-return, which is a proxy for the integrated volatility of the day. The comparison is made by investigating the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). Statistical inference of MAE and RMSE is made by applying the model confidence set (MCS) approach and the Diebold-Mariano test. For the three index data, a specific RV emerges as the best one, which addresses overnight return variations by inflating daytime RV.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.661-672
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• 2009

Recently it was found that various genetic structural variations such as CNV(copy number variation) exist in the human genome, and these variations are closely related with disease susceptibility, reaction to treatment, and genetic characteristics. In this paper we propose a new CNV detection algorithm using millions of short DNA sequences generated by giga-sequencing technology. Our method maps the DNA sequences onto the reference sequence, and obtains the occurrence frequency of each read in the reference sequence. And then it detects the statistically significant regions which are longer than 1Kbp as the candidate CNV regions by analyzing the distribution of the occurrence frequency. To select a proper read alignment method, several methods are employed in our algorithm, and the performances are compared. To verify the superiority of our approach, we performed extensive experiments. The result of simulation experiments (using a reference sequence, build 35 of NCBI) revealed that our approach successfully finds all the CNV regions that have various shapes and arbitrary length (small, intermediate, or large size).

• Korean Journal of Veterinary Pathology
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• v.3 no.2
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• pp.87-91
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• 1999

The present study was undertaken to compare the variation on serum biochemical values by storage in the rats. Sera were prepared from 30 Sprague-Dawley rats of each sex. 5 aliquots from each serum were placed in a -80$^{\circ}C$ freezer with the exception of I aliquots which was analyzed immediately. The analysis was performed on the following months; 1, 2, 3, 6, and 12 months after freezing. The parameters measured) were aspartate aminotransferase(AST), alanine aminotransferase(ALT), alkaline phosphatase(ALP), blood urea nitrogen(BUN) creatinine(CRE), glucose(GLU), total cholesterol(TCHO), triglyceride (TG), total protein(TP), albumin(ALB), total bilirubin(TBIL), calcium(Ca$\^$＋＋/), inorganic phosphorus(IP), creatine kinase (CK), phospholipid(PL), albumin-globulin ratio(A/G), sodium(Na$\^$＋/), potassium(K$\^$＋/), and chloride(Cl$\^$－/) The statistical analysis with Repeated Measures ANOVA, did not show statistical significance in the parameters of AST, ALT, BUN, TG, CK, A/G, Na$\^$＋/ of 1 month freezed sera, in those of AST, TG, CK, K$\^$＋/) of 2 month freezed sera, in those of AST, ALT, BUN, CRE, TCHO, TP, TBIL, CK, PL, Na$\^$＋/), K$\^$＋/), Ct on month fteezed sera, in those of Cl$\^$－/ of 6 month fteezed sera, and in those of ALT, TG, ALB of 12 month freezed sera in male SD rats. On the other hand, it did not show statistical significance in the parameters of AST, ALT, ALP, BUN, GLU, TCHO, TG, TBIL, CK, PL, A/G, Na$\^$＋/ of 1 month freezed sera, in those of AST, TCHO of 2 month freezed sera, in those of AST, BUN, CRE, TCHO, TP, TBIL, CK, PL of 3 month freezed sera, in those of TCHO, IP, PL of 6 month freezed sera, and in those of ALB of 12 month freezed sera in female SD rats. On the basis of the results, although there are some statistical variations in the biochemical values of the sera, it is suggested that if sera are analysed at the same time before 12 months storage in a －80 $^{\circ}C$ freezer, the storing time does not affect the biochemical evaluation of the sera in SD rats.