• Journal of Institute of Convergence Technology
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• v.7 no.2
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• pp.7-12
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• 2017

At present, the Korea Meteorological Administration (KMA) measures the horizontal solar irradiation and meteorological data with time in 33 areas. Among these measured data, this study analyzed the tendency of applying the new analysis method by using the horizontal solar irradiation and meteorological data with the time which was measured in many regions across the country for thirty years from 1985 to 2014. The method applied to the analysis is to compare the value of the annual total horizontal solar irradiance and meteorological data for one year with the value of those for the previous year of each year, and give +1 when it is higher, and -1 when it is lower. The characteristics and relationships the horizontal solar irradiation and meteorological data in Daegu were evaluated and analyzed. Through the analysis results, the analysis method applied in this study could be well describe the characteristics and relationships of the solar irradiance and meteorological data during some years.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.219-232
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• 2023

Mobility services need to change according to the regional characteristics of the target service area. Accordingly, analysis of mobility patterns and characteristics based on Origin-Destination (OD) data that reflect travel behaviors in the target service area is required. However, since conventional methods construct the OD data obtained from the administrative district-based zone system, it is hard to ensure spatial homogeneity. Hence, there are limitations in analyzing the inherent travel patterns of each mobility service, particularly for new mobility service like Demand Responsive Transit (DRT). Unlike the conventional approach, this study applies a data-driven clustering technique to conduct spatial analyses on OD travel patterns of regional mobility services based on reconstructed OD data derived from re-aggregation for original OD distributions. Based on the reconstructed OD data that contains information on the inherent feature vectors of the original OD data, the proposed method enables analysis of the spatial characteristics of regional mobility services, including public transit bus, taxi and DRT.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.2
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• pp.1-13
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• 2004

The purpose of this study is followings. First, We analyze the times from initial works to present ones. Second, Detail element of Modificational process of Hanbok design with a expession element of clothes. Third, We intend to liquidate characteristics of External beauty and internal values for Lee Young Hee' s works, besides we expect that Hanbok is harmonized with modern times, is globalized, and is universalized. It is research method and region that we observe characteristics of korean beauty with theoretical background and we examinate formalism and contents of korean style of dresses through analysis of data. So, we insinuate a standard for analysis of beauty. Analysis data is her possession and slide from 1980 to ‘2000 A/W’ and ninety collection magazine data. We analyze beautiful characteristics along the expression elements of dresses and every year. So, We can find beautiful characteristics of works for expression elements of dresses, every year, and physical beauty and internal value of dresses. As a result, initial works have succession and development of tradition. But through second & third period, inclined physical beauty have duplicated aspects with closing and opening characteristics. So, She has expressed internal beauty.

• Korean Parent-Child Health Journal
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• v.16 no.1
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• pp.1-10
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• 2013

Purpose: This study is descriptive research to identify characteristics and childbirth experience of women who selected delivery with midwives. Methods: The research methods included structured questionnaires, open questions and charts and data were collected from March 2009 to May 2010 at one midwifery clinic. The 108 data of primipara and multipara were analyzed using descriptive statistics and grouping in same meaning. Results: The general characteristics of participants were age of 31~35, housewife, college or university graduate, religion 'yes', and economic state 'middle'. The obstetric characteristics of participants were abortion rate of 23.1%, none complication to pregnancy and delivery of 97.2%, and none postpartum complication. This study was analyzed using positive experiences of 3 categories, that is 'comfortable and natural childbirth', 'satisfaction and trust to personal care of midwives', and 'experience of baby-and-family-centered childbirth' and negative experiences of 3 categories, that is 'improvement of healthcare environment', 'insufficient facilities and nursing care', and'burden of cost'. Conclusion: This study is significant, since it investigates in the absence of domestic research on the characteristics of women who delivered at midwifery clinic. Thus, this study provided basic data on the characteristics of women who delivered at midwifery clinic.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.75-90
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• 2019

As the 24-hour society arrives, human activities in daytime and nighttime urban spaces are changing drastically, and the need for new urban management policies is steadily increasing. This study analyzes the types and characteristics of Seoul's human dynamics using location-based big data and the results are summarized as follows. First, the pattern of human dynamics in Seoul repeats itself every 7 days. Second, the types of human dynamics in Seoul can be classified into five types, and each of type has its own unique time-series and local characteristics. Third, the degree of match between human dynamics and zoning system in urban planning legislation was highest in 'Type 1' residence pattern and low in other types. The following implications can be drawn from these results. First, This paper examined the methodology of analyzing the regional characteristics of Seoul through the human dynamics and obtained meaningful results. Second, This paper can derive reliable and objective pattern analysis results using Big data that reflect the overall population characteristics. Third, the scale of night-time activity in the urban space of Seoul was understood, and its distribution, patterns and characteristics identified.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.197-214
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• 2017

This study sheds light on the source data quality in big data systems. Previous studies about big data success have called for future research and further examination of the quality factors and the importance of source data. This study extracted the quality factors of source data from the user's viewpoint and empirically tested the effects of source data quality on the usefulness and utilization of big data analytics results. Based on the previous researches and focus group evaluation, four quality factors have been established such as accuracy, completeness, timeliness and consistency. After setting up 11 hypotheses on how the quality of the source data contributes to the usefulness, utilization, and ongoing use of the big data analytics results, e-mail survey was conducted at a level of independent department using big data in domestic firms. The results of the hypothetical review identified the characteristics and impact of the source data quality in the big data systems and drew some meaningful findings about big data characteristics.

• Journal of the Ergonomics Society of Korea
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• v.25 no.2
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• pp.71-76
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• 2006

The goal of this research is to analyze the Korean anthropometric data collected through Project "Size Korea" by ATS from 2003 to 2004, to extract the characteristics for each age and sex group, and to establish an extensive reference for designers of related products. The result shows that the characteristics of Korean anthropometric data have the different ratio and distribution among mutually related factors for different age and sex. Especially, the difference between two groups, those in their twenties and those in their fifties and above, are huge, indicating that there are drastic changes in the data for recent decades. The result of this research can be used for the design of furniture, clothes and workplace, where there are different target ranges for specific age and sex.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.430-433
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• 2005

In this study, weight of evidence(WOE) technique based on the bayesian method was applied to estimate the groundwater yield characteristics in the Pocheon area in Kyungki-do. The ground water preservation depends on many hydrogeologic factors that include hydrologic data, landuse data, topographic data, geological map and other natural materials, even with man-made things. All these data can be digitally collected and managed by GIS database. In the applied technique of WOE, The prior probabilities were estimated as the factors that affect the yield on lineament, geology, drainage pattern or river system density, landuse and soil. We calculated the value of the Weight W+, W- of each factor and estimated the contrast value of it. Results by the ground water yield characteristic calculations were presented in the form of posterior probability map to the consideration of in-situ samples. It is concluded that this technique is regarded as one of the effective technique for the feasibility mapping related to detection of groundwater bearing zones and its spatial pattern.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.225-242
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• 2008

PM (Inconsistency Pattern Modeling) is a hybrid supervised learning technique using the inconsistence pattern of input variables in mining data sets. The IPM tries to improve prediction accuracy by combining more than two different supervised learning methods. The previous related studies have shown that the IPM was superior to the single usage of an existing supervised learning methods such as neural networks, decision tree induction, logistic regression and so on, and it was also superior to the existing combined model methods such as Bagging, Boosting, and Stacking. The objectives of this paper is explore the characteristics of the IPM. To understand characteristics of the IPM, three experiments were performed. In these experiments, there are high performance improvements when the prediction inconsistency ratio between two different supervised learning techniques is high and the distance among supervised learning methods on MDS (Multi-Dimensional Scaling) map is long.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.279-298
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• 2008

The purpose of this study is to review the trend in international marriage of Koreans based on Census data from 2001 to 2007 and to analyse socio-demographic characteristics of the married couples. This study remarks that as the primary causes underlying the recent increase in international marriages of Koreans, the change of worldwide condition such as globalization and localization, the condition of countries to leave immigrants, the change of sex/age ratio in population, and the change of value systems are addressed. Census data from the marriage and divorce registration for the period 2001-2007 are analysed. This study covers analysis of foreign partners' nationalities, remarriage, age gap between partners, education levels, male partners' occupation, region of residence and divorce in international marriage of Koreans.