• Journal of Korean Academy of Nursing
• /
• v.27 no.3
• /
• pp.477-488
• /
• 1997

The purpose of this study was to understand the subjective breastfeeding experience of primiparous women to identify how breastfeeding was started and to explore the process of breastfeeding. The Grounded theory methodology was used. Data was collected from 6 primiparous women who had breastfed their infants for at least over 8weeks, recently breastfeeding or having breatfed their infants within the last 6 months. With the permission of the subjects, the interviews were recorded and transcribed. The data were analysed in the framework of grounded theory method as mapped out by Strauss and Corbin(1990). 105 concepts and 21 subcategories were confirmed in the analysis. In the process of data analysis, "Identity as a mother" was found to be the core phenomenon. The 21 sub-categories were as follows : natural food, neighbour inducement, self purpose, good feeling, tenderness, breast pain, change of breast shape, physical discomfort, loss of physical energy, confirmation of maternal role, formation of affection feeling of adhesion, one body through coupling, tie, capacity, role performance, mental comfort, healthy mother, healthy infant, confidence of breast milk, feeling of satisfaction. The sub -categories were again grouped into 14 categories including infant nutritious food, formation of breastfeeding opportunity, feeling of satisfaction, injury of the breast, physical suffering, awareness of mothering, formation of maternal affection, connecting, coupling, acceptance, effort, emotional stability, mother and child health and feeling of achievement.hievement.

• Electronics and Telecommunications Trends
• /
• v.14 no.4 s.58
• /
• pp.1-9
• /
• 1999

In this paper, we summarize the lessons learned from the applications of the software reliability engineering to a large-scale software project. The considered software is the software system of the TDX-10 ISDN switching system. The considered software consists of many components, called functional blocks. These functional blocks serve as the unit of coding and test. The software is continuing to be developed by adding new functional blocks. We are mainly concerned with the analysis of the effects of these software components to software reliability and with the analysis of the reliability evolution. We analyze the static characteristics of the software related to software reliability using failure data collected during system test. We also discussed a pattern which represents a local and global growth of the software reliability as version evolves. To find the pattern of software of the TDX-10 ISDN system, we apply the S-shaped model to a collection of failure data sets of each evolutionary version and the Goel-Okumoto (G-O) model to a grouped overall failure data set. We expect this pattern analysis will be helpful to plan and manage necessary human/resources for a new similar software project which is developed under the same developing circumstances by estimating the total software failures with respect to its size and time.

• ALGAE
• /
• v.20 no.3
• /
• pp.183-196
• /
• 2005

Nuclear SSU and ITS1 rDNA and plastid rbcL sequences were determined to identify the seven samples of Porphyra cultivated by means of natural seeding on the southwest coast of Korea and analyzed to access the phylogenetic relationships of them with the natural populations of P. tenera and P. yezoensis from Korea and Japan. SSU, rbcL and ITS1 data from 18, 21 and 31 samples, respectively, including previously published sequences were investigated in the study. Results from our individual and combined data indicated that the seven samples were all P. yezoensis and the entities except one from Muan 2 aquafarm strongly grouped together with the natural populations of P. yezoensis from the south and the west coast of Korea. The sample from Muan 2 seems to be derived from a strain of P. yezoensis introduced from Japan by Porphyra farmers, based on DNA sequence data.

• Korean Journal of Human Ecology
• /
• v.9 no.3
• /
• pp.363-369
• /
• 2000

This study examined to obtain the basic data related to fashion information and to identify residents for educational program for the community residents. The data were analyzed by using $x^2-test$ by sex, age, education level, and income. Total 476 subjects were surveyed in Taejon. Findings of the this study provided some results to develop educational programs for community people. The major results were as follows. 1. There were significant differences in needs of community residents by age. Needs were divided into two categories, they grouped teen aged and twenties into thirties and forties. Thus, education contents necessarily involved fashion design, fashion coordination. The data suggested that educational program contents should be differed by age such as the image making by clothes, clothing construction, and checking of body shape. 2. It showed significant differences in residents by educational level. 3. There were not significant differences in residents by income. 4. About 70% of residents answered that educational program should be implicated clothing recycling and management of clothing and textiles.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.28 no.3_4
• /
• pp.499-508
• /
• 2004

The purpose of this research is to define body characteristics of middle-aged men at ages between 35 and 55 whose physical changes are very prominent, by comparing the measurement data collected from this age group. This research also classifies different body types, and provides basic data for designing slacks' original forms according to each body type. Based on factor analysis of the measured data, seven key factors are grouped. And five different body types are classified based on the cluster analysis using factor marks. Type 1 refers to those who are tall and standard. This body type is characterized by trapezoid body shape when looked from the front, and slim abdomen when looked from the side. Type 2 refers to short and a little fat body shapes, with trapezoid front and protruding hip and abdomen. Type 3 refers to tall and fat body shapes, with rectangular front, protruding abdomen, and slim hip. Type 4 refers to those who are of medium height and a little obese, with rectangular front and protruding abdomen and hip. Type 5 refers to short and obese body shapes, with rectangular front, slim abdomen, and protruding hip. 12 items are available to judge middle-aged men's low body types and the hit ratio is 90%.

• Korea Journal of Hospital Management
• /
• v.6 no.2
• /
• pp.22-36
• /
• 2001

The hospital bankruptcy rate is increasing, therefore it is very important to predict the bankruptcy using the existing hospital management information. The hospital bankruptcy is often measured in year intervals, called grouped duration data, not by the continuous time elapsed to the bankruptcy. This study introduces a hierarchical generalized linear model(HGLM) for analysis of hospital bankruptcy data. The hazard function for each hospital may be influenced by unobservable latent variables, and these unknown variables are usually termed as random effects or frailties which explain correlations among repeated measures of the same hospital and describe individual heterogeneities of hospitals. Practically, the data of twenty bankrupt and sixty profitable hospitals were collected for five years, and were fitted to HGLM. The results were compared with those of the logit model. While the logit model resulted only in the effects of explanatory variables on the bankruptcy status at specific period, the HGLM showed variables with significant effects over all observed years. It is concluded that the HGLM with a fixed ratio and a period of total asset turnrounds was justified, and could find significant within and between hospital variations.

• The Research Journal of the Costume Culture
• /
• v.7 no.4
• /
• pp.111-126
• /
• 1999

Apparel purchase behaviors were investigated for the high school girls grouped by attitude toward fashion. Differences in attitudes toward fashion were also investigated among the groups determined by demographic characteristics. Data were collected by a self-administered questionnaire survey to 600 high school girls living in Seoul, and 480 were used for the data analysis. Cluster analysis, Chi-sguare analysis, ANOVA, and Duncan\`s multiple range test were used for data analysis. Technical school students and those who spending higher amount of monthly allowances showed favorable attitudes toward fashion. Based on the attitudes toward fashion, respondents were classified into 3 groups : fashion-oriented(32.3%), fashion-conformed(47.3%), and unconcerned(20.4%). Among the 3 groups, the Fashion-oriented tended to make purchase decision for clothing based on there own, or peer\`s opinions, to use personal sources for information search, to spend more money for clothing, and to consider design and brand names as the most important criteria when purchasing apparel products than the less fashion-oriented did. Among clothing styles popular to students, the most appropriately perceived for student wear were semi-formal style, and the least appropriate ones were wearing bold colored and patterned underwear for the purpose of showing out. Most of the popular styles among high school girls were perceived less than appropriate student\`s attire.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.4A
• /
• pp.399-414
• /
• 2004

In this paper, an evolution of software reliability engineering in a large-scale software project is summarized. The considered software consists of many components, called functional blocks in software of switching system. These functional blocks are served as the unit of coding and test, and the software is continuously updated by adding new functional blocks. We are mainly concerned with the analysis of the effects of these software components in software reliability and reliability evolution. We analyze the static characteristics of the software related to software reliability using collected failure data during system test. We also discussed a pattern which represents a local and global growth of the software reliability as version evolves. To find the pattern of system software, we apply the S-shaped model to a collection of failure data sets of each evolutionary version and the Goel-Okumoto(G-O) model to a grouped overall failure data set. We expect this pattern analysis will be helpful to plan and manage necessary human/resources fur a new similar software project which is developed under the same developing circumstances by estimating the total software failures with respect to its size and time.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.147-153
• /
• 2018

In this paper, we propose an efficient WBC 14-Diff classification which performs using the WBC-ResNet-152, a type of CNN model. The main point of view is to use Super-pixel for the segmentation of the image of WBC, and to use ResNet for the classification of WBC. A total of 136,164 blood image samples (224x224) were grouped for image segmentation, training, training verification, and final test performance analysis. Image segmentation using super-pixels have different number of images for each classes, so weighted average was applied and therefore image segmentation error was low at 7.23%. Using the training data-set for training 50 times, and using soft-max classifier, TPR average of 80.3% for the training set of 8,827 images was achieved. Based on this, using verification data-set of 21,437 images, 14-Diff classification TPR average of normal WBCs were at 93.4% and TPR average of abnormal WBCs were at 83.3%. The result and methodology of this research demonstrates the usefulness of artificial intelligence technology in the blood cell image classification field. WBC-ResNet-152 based morphology approach is shown to be meaningful and worthwhile method. And based on stored medical data, in-depth diagnosis and early detection of curable diseases is expected to improve the quality of treatment.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.28 no.4
• /
• pp.501-518
• /
• 2017

Reducing the time it takes for researchers to acquire knowledge and introduce them into research activities can be regarded as an indispensable factor in improving the productivity of research. The purpose of this research is to cluster the information usage patterns of KOSEN users and to suggest optimization method of personalized recommendation service algorithm for grouped users. Based on user research activities and usage information, after identifying appropriate services and contents, we applied a Spark based big data analysis technology to derive a personal recommendation algorithm. Individual recommendation algorithms can save time to search for user information and can help to find appropriate information.