• Journal of Korean Academy of Nursing
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• v.26 no.2
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• pp.345-358
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• 1996

All human health behavior is deeply rooted one's beliefs or value system usually encompassed within the culture in which they live. The Taegyo, based on Oriental folk medicine, is defined as the behavior and self care of pregnant women administered for herself and her fetus(unborn child). Taegyo is believed to be desirable, effective, and healthy behavior by most of Korean pregnant women. It is essential in our contemporary culture, to ascertain what the components of Taegyo are and to integrate them into current, western nursing care, particularly in the area of prenatal care. 910 Korean women were the subjects of this study, who were in a gestation period of pregnancy between 10 weeks to three months postpartum. The subjects were selected by clustered smpling from 10 representative cities in Korea. Data was collected from February 10 to March 30 1995 by a constructed Questionnaire which consisted of 95 items. The questionnaire was developed through three steps such as content analysis, calculation of content validity index, and pretest. Data was analyzed by descriptive statistics and rotated matrix factor analysis with pc-SAS. The mean age of the subjects was 28.9 years : 36.5％ of them were employed and the mean income per month was about 2000 dollars. The component of Taegyo was clustered into five factors such as fetus psychological stability(equity), fetus personality development, maternal-fetal interaction, fetus intellectual development and physical health promotion. The variance of each factor were 23.7％, 8.3％, 4. 7％, 4.1％, and 3.3％ respectively in that order. The Eigen value of each factor was 13.03, 4.57, 2.60, 2.23, and l.83 respectively. It was found that the Taegyo is an unique and holistic self care behavior of Korean pregnant women. Therefore it has been concluded that this study has broadened the understandability of the implications the Taegyo. It is suggested that further studies on the effects of the Taegyo are needed to provide a scientific basis for professional maternity nursing.

• Animal Systematics, Evolution and Diversity
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• v.12 no.2
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• pp.121-136
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• 1996

In order to understand affinities and phylogeny of three families of the Superfamily Entomobryoidea allozyme analysis was performed with three species presumably representing each family, in addition to four species belonging to the neighboring Superfamily Poduroidea together. Electrophoresis for this purpose produced data for calculating allele frequency and enabled to obtain genetic distance and to depict dendrograms as well. The species of Isotomidae, Entomobryidae and Tomoceridae were clustered together whereas those of Hypogastruridae, Onychiuridae and Neanuridae were grouped as monophylies, respectively. Even though Tomoceridae and Entomobryidae were brought together they are considered complete families by showing high genetic distance value between them, thus supporting the hypothesis on their affinity among others. Gulgastrura reticulosa has been revealed to be separated from Hypogastruridae by being clustered rather with Onychiuridae. However, its high genetic distance value suggests the status as an independent family. The present result agreed with the phylogeny of Suborder Arthropleona divided into two Superfamilies mentioned above as in conventional systematics and also when compared with analysis of data of their morphological characters as well as 18S rDNA performed and published elsewhere by the present writers.

• Korean Journal of Adult Nursing
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• v.20 no.6
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• pp.852-865
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• 2008

Purpose: This study was designed to explore what experiences nurses had while caring and providing emotional support for patients. Methods: Participants were eight nurses working at hospitals for more than one year. Data were collected from June, 2006 to January, 2007 through in-depth interview by using tape-recordings. Data were analysed with the phenomenological method proposed by Colazzi(1978). Results: From significant statements, 4 clustered themes, 7 themes and 23 sub-themes were extracted from the essential meaning of the emotional experience of hospital nurses. The 4 clustered themes were 'movement of mind', 'affection and service for patients', 'worthwhile and conflict' and 'control oneself'. The 7 themes were 'special feeling', 'rapport formation', 'consideration', 'human interaction', 'value discovery', 'loss of volition', and 'keep to balance'. Conclusion: Although nurses had tough experiences for providing care for patients' emotional support, they had also experienced spiritual maturity from its experience. The result of this study would contribute for nurses not only to care for patients who need emotional support but also to develop knowledge in nursing.

• Journal of the Korean Society for Railway
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• v.18 no.6
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• pp.586-595
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• 2015

Based on an observation that tag-out times of passengers from Smart Card data were clustered, Hong et al.[1] recently developed a precise algorithm that detects a logical path for metro passengers. The logical path means the sequence of train boarding and alighting. In this paper, we observe that tag-out times of passengers in Seoul Metro Line 9 were also clustered; we trace an actual logical path of passengers by applying the algorithm. As a result, we identify 91% of passengers successfully and find their logical paths; we also investigate passengers'preferences between express and local trains.

• 한국노년학
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• v.32 no.3
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• pp.675-687
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• 2012

This study is aimed to investigate the difference of leisure time use of elderly groups clustered with demographic factors and finally produce the leisure profile. A total 5392 time diaries, filled up by 65-years old and over in 2009 Time Use Survey, were analyzed by using descriptive statistics, correlation, cluster analysis, and ANOVA accompanied with the Scheffe's tests. The subjects could be clustered into 7 groups such as still working, work than leisure, hobby with friends, various leisure in a city, with religion and friendship, working and doing leisure in their spare time, and leisure in suburb based upon demographic factors such as age, gender, spouse, education, job, income and living area. The data also revealed that the clusters had different time use patterns in pursuing leisure. Overall, leisure in later life could be influenced by working status, and play an important role in filling their loss of job or spouse. The findings could help us plan upcoming leisure program and policies for the elderly.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.101-108
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• 2015

This paper presents the implementation of a system that recommends empirical best routes based on classification of large trajectory data. As many location-based services are used, we expect the amount of location and trajectory data to become big data. Then, we believe we can extract the best empirical routes from the large trajectory repositories. Large trajectory data is clustered into similar route groups using Hadoop MapReduce framework. Clustered route groups are stored and managed by a DBMS, and thus it supports rapid response to the end-users' request. We aim to find the best routes based on collected real data, not the ideal shortest path on maps. We have implemented 1) an Android application that collects trajectories from users, 2) Apache Hadoop MapReduce program that can cluster large trajectory data, 3) a service application to query start-destination from a web server and to display the recommended routes on mobile phones. We validated our approach using real data we collected for five days and have compared the results with commercial navigation systems. Experimental results show that the empirical best route is better than routes recommended by commercial navigation systems.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.121-125
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• 2007

Recently, constructing and complementing the road network database are a main key in all social operation in our life. However it needs high expenses for constructing and complementing the data, and relies on many people for finishing the tasks. This study propose a novel method to extract urban road networks from 3-D LiDAR data automatically. This method integrates height, reflectance, and clustered road point information. Geometric information of general roads is also applied to cluster road points group correctly. The proposed method has been tested on various urban areas which contain complicated road networks. The results conclude that the integration of height, reflectance, and geometric information worked reliably to cluster road points.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.426-431
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• 1998

We propose a fuzzy rule based method for structure preserving dimensionality reduction. This method selects a small representative sample and applies Sammon's method to project it. The input data points are then augmented by the corresponding projected(output) data points. The augmented data set thus obtained is clustered with the fuzzy c-means(FCM) clustering algorithm. Each cluster is then translated into a fuzzy rule for projection. Our rule based system is computationally very efficient compared to Sammon's method and is quite effective to project new points, i.e., it has good predictability.

• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.499-505
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• 2001

Kim and Baek (2000) tested the spatial randomness for he earthquake occurrence in the Korean Peninsula by using the nearest-neighbor test statistics and empirical distribution functions. The K-function, however, has obvious advantages over the methods used in Kim and Baek (2000), such as it does not depend on the shape of the study region and is an effective summary of spatial dependence over a wide range of scales. We applied the K-function method for testing the randomness to both of the historical and the instrumental seismicity data. It was found that he earthquake occurrences for historical and instrumental seismicity data are not random and clustered rather than scattered.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1209-1216
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• 2015

Competing-risks events are often observed in a clustered clinical study such as a multi-center clinical trial. We propose a joint modelling approach via a shared frailty term for competing risks survival data from a cluster. For the inference we use the hierarchical likelihood (or h-likelihood), which avoids an intractable integration. We derive the corresponding h-likelihood procedure. The proposed method is illustrated via the analysis of a practical data set.