• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.6
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• pp.564-573
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• 2012

The objective of this study is to determine the effect for the sound quality according to the noise source and to build the sound quality index of the laundry noise. In order to compare laundry noise among the influence of noise sources, we made virtual laundry noises by synthesizing an actual laundry noise and each noise source such as a dropping noise, water noise, motor noise and circulation pump noise. We conducted a listening test by customers using virtual laundry noises. As a result of listening test, we found that the dropping noise has a decisive effect on the sound quality of the laundry noise. We conducted the multi regression analysis of sound quality for the laundry noise using the statistical data processing. It is verified to the reliability of the multi regression index by comparison with listening results and index results of other actual laundry noises. This study is expected to provide a guide line for improvement of the laundry noise.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.555-566
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• 2013

Purpose: The purpose of this study is to develop innovation index of hospital service integrating 6 sigma and SERVQUAL. Methods: This study used DMA(Define, Measure and Analysis) from 6 sigma and 5 Factors from SEVQUAL. To test data, chi-squire text, association analysis and behavior analysis was conducted. Results: This study indicated the management index through CTQ (Critical to Quality) and Chosen few X using 6 sigma process. Finally, And this study developed 5 Factors; Equipment Utilization in Tangibility, Ratio of Patients/Disease/Behavior/Treatment in Reliability, Survival RAte, Canselation Rate of Reservation, Churn Rate, Interval of Treatment and Confidence in Responsiveness, Frequency of Patients/Disease/Behavior/Treatment in Assurance and Contrast to Best Department/Best Doctor/Best Doctor in Faculty/Average of Mine in Empathy. Conclusion: This study developed innovation index of hospital service. Managing this index, hospital is able to achieve the decline of total treatment cycle, adjustment of patients behavior and increase of equipment utilization. Ultimately, hospital is able to accomplish innovation of healthcare service.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2945-2965
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• 2023

The laser inertial measurement unit is a precision device widely used in rocket navigation system and other equipment, and its quality is directly related to navigation accuracy. In the quality evaluation of laser inertial measurement unit, there is inevitably uncertainty in the index input information. First, the input numerical information is in interval form. Second, the index input grade and the quality evaluation result grade are given according to different national standards. So, it is a key step to transform the interval information input by the index into the data form consistent with the evaluation result grade. In the case of uncertain input, this paper puts forward a method based on probability distribution to solve the problem of asymmetry between the reference grade given by the index and the evaluation result grade when evaluating the quality of laser inertial measurement unit. By mapping the numerical relationship between the designated reference level and the evaluation reference level of the index information under different distributions, the index evidence symmetrical with the evaluation reference level is given. After the uncertain input information is transformed into evidence of interval degree distribution by this method, the information fusion of interval degree distribution evidence is carried out by interval evidential reasoning algorithm, and the evaluation result is obtained by projection covariance matrix adaptive evolution strategy optimization. Taking a five-meter redundant laser inertial measurement unit as an example, the applicability and effectiveness of this method are verified.

• Journal of Korean Society on Water Environment
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• v.27 no.1
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• pp.120-128
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• 2011

Korea Groundwater Quality Monitoring Network is a database of annual groundwater quality survey results to prevent groundwater pollution. We estimated contamination index (CI) values for each type of land use, and analyzed temporal trends of pollutant concentration data in the Groundwater Quality Monitoring Network from 2001 to 2009. Among the pollutants considered in the database, the concentrations of nitrate and chloride were higher than their standards. In the case of nitrate, recreation parks, golf courses and general waste dumping regions showed increasing trends according to linear regression analysis, whereas industrial complexes and residential regions of urgan and recreation parks showed increasing trends in the chloride concentration data. According to multiple variable linear regression analysis, EC, pH and topography were major factors influencing CI values. These results suggest that groundwater with a high CI value and increasing trend is vulnerable for potential contamination, which requires more careful groundwater pollution control.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• Journal of Korean Academy of Nursing
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• v.45 no.6
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• pp.846-856
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• 2015

Purpose: The focus of this study was on symptom management to predict quality of life among individuals with heart failure. The theoretical model was constructed based on situation-specific theory of heart failure self-care and literature review. Methods: For participants, 241 outpatients at a university hospital were invited to the study from May 19 to July 30, 2014. Data were collected with structured questionnaires and analyzed using SPSSWIN and AMOS 20.0. Results: The goodness of fit index for the hypothetical model was .93, incremental fit index, .90, and comparative fit index, .90. As the outcomes satisfied the recommended level, the hypothetical model appeared to fit the data. Seven of the eight hypotheses selected for the hypothetical model were statistically significant. The predictors of symptom management, symptom management confidence and social support together explained 32% of the variance in quality of life. The 28% of variance in symptom management was explained by symptom recognition, heart failure knowledge and symptom management confidence. The 4% of variance in symptom management confidence was explained by social support. Conclusion: The hypothetical model of this study was confirmed to be adequate in explaining and predicting quality of life among patients with heart failure through symptom management. Effective strategies to improve quality of life among patients with heart failure should focus on symptom management. Symptom management can be enhanced by providing educational programs, encouraging social support and confidence, consequently improving quality of life among this population.

• Journal of Nutrition and Health
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• v.37 no.3
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• pp.210-222
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• 2004

In recent years, the number and proportion of Korean elderly have grown rapidly, and elderly individuals show a disproportionate risk for poor nutritional status. The purpose of this study was to examine the relationship of sociodemographic background to nutrient intake of persons 65 years of age or older, living in 15 cities in Korea. Data on 1973 subjects (603 males, 1370 females), who participated in the Korean Elderly Nutrition Survey (2000), were analyzed. Their mean age was 72.3 years and their mean body mass index (BMI) was 24.2 kg/$m^2$. Basic sociodemographic data were obtained through personal interviews. The 98-item semi-food frequency questionnaire, developed and previously validated for Korean middle-aged and elderly subjects, was administered. “Percentage of subjects who consumed under 75％ Korean RDA,” “number of nutrients consumed below 75％ Korean RDA,” “mean nutrient adequacy ratio,” and “nutrient density” were used to determine nutritional status. Male elderly had better nutritional quality than female elderly. Nutritional quality decreased with age, especially in older elderly (over 75). Elderly who were underweight (BMI 〈 20 kg/$m^2$) showed poorer nutritional quality than those who were normal weight (BMI 20∼25 kg/$m^2$) and overweight (BMI $\geq$ 25 kg/$m^2$). Elderly who lived alone had significantly poorer nutritional quality than those who lived with a spouse, and/or with children. Lower education level and economic dependence also showed lower nutritional quality. A stepwise multiple regression analysis was performed to examine the effects of specific sociodemographic factors on nutritional quality. For number of nutrients under 75％ RDA as a dependent variable, education level explained 4.8％ of the variance, followed by living status, age, body mass index, gender, and living expense support (Model $R^2$ = 0.091). For mean nutrient adequacy ratio as a dependent variable, model $R^2$ was 0.098. Therefore, sociodemographic variables such as gender, age, body mass index, living status, educational level, and economic status influenced elderly nutrition status. These results indicate that an elderly nutrition intervention should focus on subjects who are poorly educated, living alone, age 75 or older, and/or underweight.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.473-490
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• 2022

Purpose: The purpose of this study is to propose a new useful suggestion to monitor the stability of process by developing a stability ratio or index related to investigating how well the process is controlled or operated to the specified target. Methods: The proposed method to monitor the stability of process is building up a new measure index which is making up for the weakness of the existing index in terms of short or long term period of production. This new index is a combined one considering both stability and capability of process to the specification limits. We suppose that both process mean and process variation(or deviation) are changing on time period. Results: The results of this study are as follows: regarding the stability of process as well as capability of process, it was shown that two indices, called SI(stability index) and PI(performance index), can be expressed in two-dimensional X-Y graph simultaneously. This graph is categorized as 4 separated partitions, which are characterized by its numerical value intervals of SI and PI which are evaluated by test statistics. Conclusion: The new revised index is more robust than the existing one in investigating the stability of process in terms of short and long period of production, even in case both process mean and variation are changing.

• The Journal of Internal Korean Medicine
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• v.45 no.3
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• pp.342-357
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• 2024

Background: Cold hypersensitivity (CH) and sleep disorders are not limited to patients with specific diseases, as they are also commonly observed in the general population. The objective of this study was to investigate the relationship between CH and sleep quality. Methods: This cross-sectional study analyzed data from a cohort of 5,052 individuals living in South Korea. Based on the results of a questionnaire on CH, the participants were classified into four groups: non-CH, CH in the hands (CHH), CH in the feet (CHF), and CH in the hands and feet (CHHF). Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Multiple regression was used for groupwise comparisons of total PSQI scores and the scores for each component, and logistic regression was used to find the odds ratios of being a "poor sleeper" (PSQI≥8.5). Results: The CHF and CHHF groups showed significantly higher scores than the non-CH group on the overall PSQI as well as on the following sleep components: subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and sleep medication use. The odds ratios for being a "poor sleeper" were significant in the CHF (1.84; CI=1.38-2.43) and CHHF groups (1.54; CI=1.25-1.89), but the CHH group did not show any difference from the non-CH group. We identified a correlation between CH in the feet and poor sleep quality. Conclusions: These findings help to elucidate the relationship between sleep and CH and highlight the need to clarify the underlying mechanism.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.2
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• pp.57-66
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• 2017

The academic research on data governance is still in its infancy and focused on the definition of concept and components. However, we need to study of evaluation on data governance to help make decision of establishment. The purpose of this paper is to develop of attribute index in data governance framework. Therefore, in this paper, we used RGT (repertory grid technique) and Laddering techniques for experts interview and survey for validation of disinterested third party experts and analysis statistically. We completed data governance attribute index which is composed of data compliance area including 8 components, data quality area including 16 components and data organization area including 7 components. Moreover, the evaluation attributes is prioritized and ranked using the AHP. As a result of the study, this paper can be used for the base line data in introducing and operating data governance in an IT company.