• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.773-784
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• 2014

This study evaluated the applicability of the Modified Bartlett-Lewis Rectangular Pulse (MBLRP) rainfall generation model for modeling extreme rainfalls and floods in Korean Peninsula. Firstly, using the ISPSO (Isolated Species Particle Swarm Optimization) method, the parameters of the MBLRP model were estimated at the 61 ASOS (Automatic Surface Observation System) rain gauges located across Korean Peninsula. Then, the synthetic rainfall time series with the length of 100 years were generated using the MBLRP model for each of the rain gauges. Finally, design rainfalls and design floods with various recurrence intervals were estimated based on the generated synthetic rainfall time series, which were compared to the values based on the observed rainfall time series. The results of the comparison indicate that the design rainfalls based on the synthetic rainfall time series were smaller than the ones based on the observation by 20% to 42%. The amount of underestimation increased with the increase of return period. In case of the design floods, the degree of underestimation was 31% to 50%, which increases along with the return period of flood and the curve number of basin.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.23-30
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• 2006

A clustering method for temporal data takes a model-based approach. This uses automata based model for each cluster. It is necessary to construct global models for a set of data in order to elicit individual models for the cluster. The preparation for building individual models is completed by determining the number of clusters inherent in the data set. In this paper, BIC(Bayesian Information Criterion) approximation is used to determine the number clusters and confirmed its applicability. A search technique to improve efficiency is also suggested by analyzing the relationship between data size and BIC values. A number of experiments have been performed to check its validity using artificially generated data sets. BIC approximation measure has been confirmed that it suggests best number of clusters through experiments provided that the number of data is relatively large.

• Survey Research
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• v.9 no.1
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• pp.69-85
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• 2008

Stratification is a feature of the majority of field sample design. This paper considers the multivariate stratification strategy for multipurpose sample survey with several auxiliary variables. In a multipurpose survey, stratification procedure is very complicated because we have to simultaneously consider the efficiencies of stratification for several variables of interest. We propose stratification strategy based on factor analysis and cluster analysis using several stratification variables. To improve the efficiency of stratification, we first select the stratification variables by factor analysis, and then apply the K-means clustering algorithm to the formation of strata. An application of the stratification strategy in the sampling design for the Fisher Production Survey is discussed, and it turns out that the variances of estimators are significantly less than those obtained by simple random sampling.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.64-75
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• 2008

Since the current database systems for managing geotechnical investigation results were limited by being described boring test result in point feature, it has been trouble for using other GIS data. Although there are some studies for spatial characteristics of subsurface modeling, it is rather lack of being interoperable with GIS, considering geotechnical engineering facts. This is reason for difficulty of practical uses. In this study, we has developed subsurface spatial information model through extracting needed geotechnical engineering data from geotechnical information DB. The developed geotechnical information clustering program(GEOCL) has made a cluster of boring formation(and formation ratio), classification of layer, and strength characteristics of subsurface. The interpolation of boring data has been achieved through zonal kriging method in the consideration of spatial distribution of created cluster. Finally, we make a subsurface spatial information model to integrate with digital elevation model, and visualize 3-dimensional model by subsurface spatial information viewing program(SSIVIEW). We expect to strengthen application capacity of developed model in subsurface interpretation and foundation design of construction works.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.405-406
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• 2006

Recently, the flat display modules such as plasma or TFT-LCD employ thin crystallized panels which are normally weak to high level transient mechanical energy inputs. As a result, anti-shock performance is one of the most important design specifications for TFT-LCD modules. However, most of large display module designs are generated based on engineers own experiences. Also, a large-scale analysis to evaluate complex material and structural behaviors is one of interesting topic in diverse engineering and scientific fields. The utilization of massively parallel processors has also been a recent trend of high performance computing. The objective of this paper is to introduce a parallel process system which consists of general purpose finite element analysis solver as well as parallelized PC cluster. The parallel processing system is constructed using thirty-two processing elements and the finite element program is developed by adopting hierarchical domain decomposition method. In order to verify the efficiency of the established system, an impact analysis on thin and complex sub-parts of flat display modules is performed. The evaluation results showed a good agreement with the corresponding reference solutions, and thus, the parallel process system seems to be a useful tool fur the complex structural analysis such as IT related products.

• Journal of the Korean Regional Science Association
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• v.32 no.2
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• pp.15-29
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• 2016

Suburbs rural areas in the Capital region have been diversified by the influence of the Seoul and large cities for the last 10 years. This study aims to classify suburban rural areas and to analyze the differentiated characteristics of different types in order to propose more area-specific policy approach to suburban rural areas in the Capital region. Using the cluster analysis method, the suburban rural areas in the Capital region have been classified into four types; garden villages in rural areas, urbanization areas, agricultural-industrial mixed use areas, general rural areas. The result of this study shows that the four types of suburban rural areas are much differentiated one another in terms of internal characteristics and local dynamics and problems. In order to suburban rural sustainable development in the Capital region, the policy efforts should be address the area-specific problems and policy demand for each type of suburban rural areas.

• Animal Systematics, Evolution and Diversity
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• v.7 no.1
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• pp.65-72
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• 1991

The interspecific relationships of the genus Leucophenga, L.concilia, L.maculata, L.orientalis , and L.quinquenmaculipennis were investigated by soluble proteins analysis. the electrophoretic banding patterns of the four species analyzed by SDS-PAGE were scanned by densitormeter. The soluble protein patters of L.maculata and L.concilia by SDS-PAGE appeared similarly and on the other hand, those of L.quinquemaculipennis had a different forms from three other species. The genetic distance among the four species of TDE analysis was calculated by formula of the Aquadro and Avis(1981) . The genetic distance between L.maculata and L.concilia was 0.393 , the lowest of all and between L.maculata and L.quinquemaculipennis was 0.496, the highest of all. The dendrogram was established using UPGMA method based on genetic distance obtained by TDE analysis. Clustered patterns as follows ; first, L.maculata and L.concilia were clustered, and L.orientalis and L. quinquemaculipennis followed the firstone in order. In consequence, it seems that the interspecific relationship of L.quinquemaculipennis was farther from the other three species, while that of L.maculata and L.concilia was closer than that of L.orientalis.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.17-26
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• 2018

Recently, through the emergence and convergence of Internet services, the unified Internet of thing(IoT) service platform have been researched. Currently, the IoT service is constructed as an independent system according to the purpose of the service provider, so information exchange and module reuse are impossible among similar services. In this paper, we propose a operation based service classification algorithm for various services in order to provide an environment of unfied Internet platform. In implementation, we classify and cluster more than 100 commercial IoT services. Based on this, we evaluated the performance of the proposed algorithm compared with the K-means algorithm. In order to prevent a single clustering due to the lack of sample groups, we re-cluster them using K-means algorithm. In future study, we will expand existing service sample groups and use the currently implemented classification system on Apache Spark for faster and more massive data processing.

• Korean Journal of Food Science and Technology
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• v.41 no.2
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• pp.162-166
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• 2009

In an effort to determine the effect of ingredients on the sensory characteristics of dongchimi, 10 different samples of dongchimi were prepared in various combinations of 4 ingredients most notably red pepper, garlic, ginger, and green onion and their physicochemical, microbiological, and sensory characteristics were assessed. Each ingredient utilized for the preparation of dongchimi did not affect changes in pH and titratable acidity, but exerted significant effects on sensory scores of overall acceptability, acid odor, salty, and hot taste. In cluster analysis using the 'Ward' method, dongchimi samples were classified into three groups. The first group was the samples prepared with a variety of ingredients including garlic, and the second group included samples prepared with the sole ingredient, except for red pepper. The third group had features similar to those of the sample prepared without other ingredients. It was determined that garlic played a crucial role in the sensory properties of dongchimi, and the addition of various ingredients enhanced hot taste and reduced acid odor, sourness, moldy odor, and carbonated taste by their interaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.983-994
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• 2004

The aim of this study is to provide fundamental data on the development of ready-to-wear clothes appropriate for the body types of elderly women. The study was conducted targeting 318 elderly women over 60 years of age whose fields of action were colleges for the elderly, sports centers, or business sites in Seoul and the neighboring districts. A total of 44 features in the upper body were used for the anthropometric measurement and analysis using anthropometry and photometry. The results of the study are as follows: 1. Somatotypes were classified into three types according to a cluster analysis using height and weight indices. Type 1 is the group with long and undersized upper body and straight body type since the face of the upper body is long relative to height and width, girth and depth are the smallest relative to weight, the breasts are somewhat fat, with a small extent of drooping and a straight back. Type 2 is the group that is considered fat relative to the body, has broad shoulders, drooping breasts with a wide space between them, and a back-bent upper body. Type 3 is the group that has a bent shape, the shortest upper body relative to height, and showing average obesity factors. 2. Indices of height and weight were used for factor analysis, cluster analysis, and discriminant analysis in order to classify upper body somatotype according to shape while excluding size factors of elderly women＇s upper body somatotype. The same method was used to compare and verify the result according to the absolute measurement and height index. Classification based on height and weight indices demonstrate that such somatotype classification minimizes the personal equation of body shape and it induces better classification based on shape as the results showed the highest cumulative sum of square(CUSUM) at 78.38% while six factors showed the smallest result and the hit rate for the classified three groups showed the highest result at 95.30%.