• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.372-383
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• 2011

Our study was carried out to develop the severity-adjustment model for length of stay in hospital for percutaneous coronary interventions so that we would analysis the factors on the variation in length of stay(LOS). The subjects were 1,011 percutaneous coronary interventions inpatients of the Korean National Hospital Discharge In-depth Injury Survey 2004-2006 data. The data were analyzed using t-test and ANOVA and the severity-adjustment model was developed using data mining technique. After yielding the standardized value of the difference between crude and expected length of stay, we analysed the variation of length of stay for percutaneous coronary interventions. There was variation of LOS in regional differences, size of sickbed and insurance type. The variation of length of stay controlling the case mix or severity of illness can be explained the factors of provider. This supply factors in LOS variations should be more studied for individual practice style or patient management practices and healthcare resources or environment. We expect that the severity-adjustment model using administrative databases should be more adapted in other diseases in practical.

• Journal of the Korean Statistical Society
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• v.33 no.2
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• pp.219-231
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• 2004

Process adjustment is a complimentary tool to process monitoring in process control. Although original intention of process adjustment is not identifying a special cause, detection and elimination of special causes may lead to significant process improvement. In this paper, we examine the impact of special causes on process adjustment. The bias in the adjusted output process is derived for each type of special causes, and average run length (ARL) of the Shewhart chart applied to the adjusted output is computed for each special cause types. Numerical results are illustrated for the ARL of the Shewhart chart, thereupon seriousness of special causes on process adjustment is evaluated for each type of special causes.

• International Journal of Human Ecology
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• v.10 no.1
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• pp.87-98
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• 2009

This study examines the socio-cultural readjustment of the Korean students returning from overseas study at an early age. For this study 259 returnee students from elementary through high school completed a questionnaire which covered aspects such as school adjustment and re-acculturative stress in relationship to gender, grade, number of parents accompanying the students overseas, length of overseas stay, age of return, length of stay in Korea, and the acculturative stress experienced in a host culture. The findings indicate that re-acculturative stress level of returnee students is higher than the level of the acculturative stress, and that the two are positively related. Hierarchical multiple regression analyses reveal the grade and acculturative stress of returnee students as a significant predictor of school adjustment. The length of overseas stay and acculturative stress significantly predicted the re-acculturative stress level. The acculturative stress significantly affected both school adjustment and re-acculturative stress of returnee students back in Korea.

• Korean Journal of Adult Nursing
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• v.22 no.5
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• pp.519-528
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• 2010

Purpose: The purposes of this study were to examine the relationships among the sense of control, social support, depression and nursing home adjustment, and to identify the influencing factors of nursing home adjustment in nursing home residents. Methods: The study design was a cross-sectional descriptive study. Data were collected from May to June of 2010 using structured questionnaires from 212 elderly residents without dementia from 15 nursing homes. Results: The levels of nursing home adjustment depended on the self-rated health, the voluntary institutionalization, and the length of stay. The nursing home adjustment was significantly correlated with a sense of control, social support and depression. The five most influential factors affecting adjustment were self-rated health, placement decision maker, the length of stay, a sense of control and depression, which explained about 51.5% of the variances. Conclusion: The findings reflect the importance of voluntary institutionalization, a sense of control, avoiding depressive mood and social support which facilitate residents' adjustment. These results can provide guidance for nursing interventions to facilitate nursing home adjustment.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.111-122
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• 2010

In this study, a length adjustment algorithm for cyclic signals in manufacturing process using Time Invariant Feature point Extraction and Matching(TIFEM) is proposed. In order to precisely compensate the length of cyclic signals which have irregular length in the middle of signal as well as in the full length more feature points are needed. The extracted feature must involve information about the pattern of signal and should have invariant properties on time and scale. The proposed TIFEM algorithm extracts features having the intrinsic properties of the signal characteristics at first. By using those extracted features, feature vector is constructed for each time point. Among those extracted features, the only effective features are filtered and are chosen such as basis for the length adjustment. And then the partial length adjustment is performed by matching feature points. To verify the performance of the proposed algorithm, the experiments were performed with the experimental data mimicking the three kinds of signals generated from the actual semiconductor process.

• Proceedings of the Safety Management and Science Conference
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• 1999.11a
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• pp.237-246
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• 1999

An important problem in process adjustment using feedback is how often to sample the process and when to apply an adjustment. Schemes designed to minimize the overall cost. The cost taken the frequency with which they require observations to be made, and the resulting overall length of time between adjustment. In this article, the process adjustment which is based on the adaptive EWMA forecasts are derived. An example is presented to improve confirm standard varation through the analysis of a data series.

• Journal of the Korea Safety Management & Science
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• v.1 no.1
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• pp.111-121
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• 1999

An important problem in process adjustment using feedback is how often to sample the process and when to apply an adjustment. Schemes are designed to minimize the overall cost. The cost is taken the frequency with which they require observations to be made, and the resulting overall length of time between adjustments. In this article, the process adjustment which is based on the adaptive EWMA forecasts is derived. An example is presented to improve the standard variation through the analysis of data series.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1234-1243
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• 2011

Our study was carried out to develop the severity-adjustment model for length of stay in hospital for community-acquired pneumonia so that we analysed the factors on the variation in length of stay(LOS). The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge In-depth Injury Survey data from 2004 through 2006. The data were analyzed using t-test and ANOVA and the severity-adjustment model was developed using data mining technique. There are differences according to gender, age, type of insurance, type of admission, but there is no difference of whether patients died in hospital. After yielding the standardized value of the difference between crude and expected length of stay, we analysed the variation of length of stay for community-acquired pneumonia. There was variation of LOS in regional differences and insurance type, though there was no variation according whether patients receive their care in their residences. The variation of length of stay controlling the case mix or severity of illness can be explained the factors of provider. This supply factors in LOS variations should be more studied for individual practice style or patient management practices and healthcare resources or environment. We expect that the severity-adjustment model using administrative databases should be more adapted in other diseases in practical.

• International Journal of Human Ecology
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• v.10 no.2
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• pp.1-12
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• 2009

The purpose of this study was to explore the dynamics of stepfamilies and the adjustment difficulties such families may experience. The study describes some sociodemographic characteristics of a sample of 117 stepfamilies. The independent variables were stresses due to adjustment difficulties, which were defined as "role strains". Sociodemographic variables included gender, family income level, length of time since remarriage, type of stepfamily, and the existence of any children born to the new marriage. The dependent variable was the extent of stepfamily adjustment, expressed as a scale. The factors influencing family adjustment included stepparent gender, family income level, type of stepfamily, and various role strain variables (family boundary ambiguity, role conflict, etc.). Practical recommendations for social work are made and possibilities for future research in this area are discussed based on the results of this study.

• Korean Journal of Optics and Photonics
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• v.22 no.5
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• pp.230-238
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• 2011

There are many types of interchangeable zoom lens in the digital single lens reflex camera and the compact digital still camera system in order to meet various specifications such as the field angle. Thus special cases for which the focus adjustment using only an auto-focus group is not available in the focal point correction (that is, the focus adjustment) of both wide and tele-zoom positions are sometimes generated. In order to make each BFL(back focal length, BFL) coincide at wide and tele-zoom positions with each designed BFL, focus adjustment processes must be performed at least in these two points within the zoom lens system. In this paper, we propose a method of focus adjustment by using the concept of focus sensitivity, and we calculate a limit on focus adjustment distance by means of statistical analysis.