• Journal of Families and Better Life
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• v.5 no.2
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• pp.65-82
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• 1987

Product characteristic approach and hedonic method were explained and applied to demand behavior of housing for 360 households sampled from four districts of Seoul. Th major findings are: 1) Housing prices are determined by housing characteristics, i.e., basic structure, interior space, interior quality, and neighborhood quality. 2) as income increase , the demand for basic structure, interior space, interior of quality, and neighbor hood quality increases. As compared to the counties that have advanced housing financial systems, income elasticity form housing characteristics was low. 3) householder's educational level has insignificant effects on the demand for neighborhood quality. 4) the housing need of family is different to a family life cycle. In the first stage, the increase of income enhances the demand for basic structure. interior space, and interior quality, but inversed with neighborhood quality. In the second and third stages, the demand for basic structure, interior space, and interior quality increases as the income increases. 5) It is predicted that the larger the family size, the more housing space is required. But in the low-income group, an increase in family size results in a decrease in the demand for interior space because expenses for food and education are indispensable ones. In the middle -income group the demand for interior space, interior quality increases as the family size increases, In the high-income group, the larger the family size the more interior quality is demanded. As mentioned above, the demand for housing is derived form characteristics and the demand behavior far housing characteristics is varied with individual household's characteristics. Therefore, the fact that different housing needs according to various income groups should be considered in housing policy.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.162-165
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• 1996

In accordance with the growing importance of software in computer systems, software quality and performance has become a hot issue in all computer-related fields and businesses. But the measurement and evaluation of software quality still poses a problem, due to the different viewpoints of software developers and users. This study attempts to combine the external characteristics of quality representing the viewpoint of users, and the internal characteristics representing the viewpoint of developers of quality. In order to do this, this study provides multiple models which select the appropriate internal characteristics which reflect user requirements from earlier phases of development. The goal of this study is to enhance the applicability of 40 internal characteristics of ISO 9126 to the models.

• The Korean Journal of Community Living Science
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• v.23 no.1
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• pp.31-39
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• 2012

Yam($Dioscorea$ $japonica$) has been used in oriental medicine to modulate physiology, and it is considered as a potential functional food. So far, however, limited efforts has been performed to use yam for food processing and development. Thus, in this study, rice cakes called 'Backsulgi' containing 3%, 6% and 9% yam powder were prepared and the quality characteristics were evaluated. The results of this study showed that adding yam powder reduced the moisture content of Backsulgi, which led to a decrease in the strength of textural characteristics such as hardness, adhesiveness, cohesiveness, gumminess, chewiness, and springiness. In contrast, the quality characteristics of the sample containing 3% yam powder were not significantly different from those of the control in moisture content, texture, and overall acceptability. Consequently, adding 3% yam powder could improve the biofunctionality and quality characteristics of Backsulgi in the case of adjusting moisture content.

• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.69-79
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• 2004

Process capability indices are widely used in industries and quality assurance system. When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in considertion of the correlations among the characteristics. To solve the issue on the optimal design for multiple quality characteristics, the study propose the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of terms. Therefore, the analysis have to be required a multivariate statistical technique. This paper introduces to multivariate capability indices and then selects a multivariate process capability index incorporated both the process variation and the process deviation from target among these indices under the multivariate normal distribution. We propose a new multivariate capability index $MC_{pm}^{++}$ using quality loss function instead of the process variation and this index is compared with the proposed indices when quality characteristics are independent and dependent of each other.

• Knowledge Management Research
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• v.8 no.2
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• pp.31-52
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• 2007

Since the introduction of knowledge management systems, many studies have attempted to analyze its performance and identify the success factors. However, few studies have investigated the relationship between KMS technology characteristics and its quality. This paper attempts to categorize KMS technology functions into socialization, externalization, combination and internalization and then find the relationship between these functions and KMS quality. It also attempts to investigate the moderating effect of task characteristics in this relationship. Our research frame is derived from the well known task-technology fit model and the related KMS performance studies. A survey was conducted from 157 KMS users. It is found that both externalization and combination are important for KMS quality and this quality influences the KMS performance. Furthermore, it is confirmed that the task characteristics can moderate between the KMS technology and its quality.

• Journal of Korean Society for Quality Management
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• v.25 no.2
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• pp.140-153
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• 1997

As product quality is maily determined in the product design and process design step, systematic design should be performed through parameter design and tolerance design. Therefore, we introduced analysis of variance and regression analysis as a statistical method which determine optimal levels of affective design factors to product characteristics, then we compared that process and result. In analysis of variance, variation of quality characteristics arises from noise factors, so the optimal levels of design factors are selected to minimize the effect of noise factors. In regression analysis, variation of quality characteristics aries from variation of each own design factors. As a method to reduce variation of these quality characteristics, sensitivity analysis was performed about each design factors. Through this sensitivity analysis, we represented process to calculate the interaction term of the factors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1956-1959
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• 2021

AIS(Automatic Identification System) provides navigational information including identification, position, a ship's course and status to ground and other vessels. To obtain AIS Marine Equipment Approval Service, various requirements are required and meet the requirements International Standards. However, most of the requirements are to identify essential functions, response time, hardware requirements, and communication protocols of AIS. The requirements for the quality of SW are not sufficient or detailed, and the weight is relatively low. As role of SW grows and types become more diverse, AIS SW quality inspection is essential. In this paper, We apply eight-quality characteristics of ISO/IEC 25023 standard to improve SW coverage quality of AIS. Suggest additional AIS SW requirements based on the eight quality characteristics of ISO/IEC 25023 standard.

• Korean Journal of Occupational Health Nursing
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• v.18 no.1
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• pp.33-43
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• 2009

Purpose: This study was aimed to identify the health related quality of life(HRQoL) by job characteristics and its predictors in Korean adult women. Methods: This study used data from cross-sectional surveys conducted for the 2005 National Health and Nutrition Survey, which was performed by using a face-to-face interview method. The data were analyzed by ANOVA, t-test and multiple regression using the SPSS program. Demographic characteristics, subject health state, EQ-5D were included in the study instruments. Results: The mean HRQoL index in the subjects was $0.792{\pm}0.102$. There were significant statistical differences on HRQoL among job characteristics. The health related quality of life of non-physical workers was the highest. The significant predictors of the HRQoL of all subjects were the subjective health status, the present health status compared to the previous year, education, age, marital status and income. The factors accounted for 22.1% of variance in the health related quality of life and the predictors of the HRQoL among job characteristics were different. Conclusion: These results may contribute to development of nursing strategy to improve female health related quality of life. The health related quality of life program for adult women by job characteristics is advised based on results of the study.

• Proceedings of the Safety Management and Science Conference
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• 2004.05a
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• pp.137-144
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• 2004

Consumers require various quality characteristics including safety. The reduction of risk concerned on product safety becomes urgent issue in leading companies. The strategy for customer satisfaction by choosing attractive quality characteristic is not enough for risk reduction in view of producer. This paper presents a method for choosing quality characteristics and risk characteristics by integrating QFD based on quality requirements and AHP based on safety requirements, also shows its application for complex equipment.

• Food Science of Animal Resources
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• v.39 no.2
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• pp.197-208
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• 2019

The aim of this study was to investigate the relation of sensory quality traits of cooked beef to fresh meat quality and histochemical characteristics, especially muscle bundle traits, in the longissimus thoracis muscle of Hanwoo steers. Cooking loss negatively correlated with softness, initial tenderness, chewiness, rate of breakdown (RB), and amount of perceptible residue (AR) after chewing (p<0.05), and drip loss showed negative correlation with RB and AR (p<0.05). All the attributes of tenderness exhibited negative correlation with the Warner-Bratzler shear force value (p<0.05). Marbling score and the intramuscular fat (IMF) content showed positive correlation with all the organoleptic characteristics, including tenderness attributes, juiciness, and flavor (p<0.05). Regarding histochemical characteristics, muscle fiber size did not have a significant correlation with all the sensory quality traits, although the area percentage of type I fiber was related with softness, initial tenderness, and chewiness (p<0.05). On the contrary, the characteristics of muscle bundle were related to all the sensory tenderness attributes (p<0.05), and the sensory tenderness increased with smaller muscle bundle size (p<0.05). These results suggest that the IMF content and bundle characteristics can be used as indicators for explaining the variations in sensory tenderness in well-marbled beef.