• Journal of KIISE:Software and Applications
• /
• v.27 no.3
• /
• pp.217-226
• /
• 2000

In order to develop high quality software, software metrics have been made to assess the quality of software, and recently, many object-oriented metrics have been suggested for this purpose as well. However, research on the utilization of metrics to control software quality in a development process has been inadequate. This is due to the difficulty in assessing the significance of metrics in a software development process from the perspective of overall software quality. In this paper, we propose a method of applying metrics to a development process using the Hierarchical Software Quality Model(H-SQM) which is defined in terms of the products' special features. The method represents the H-SQM as the cause-and-effect diagram and changes the diagram to the process-analysis diagram. And it applies software quality metrics to each development stage by the process-analysis diagram. In this way, we could utilize the software quality metrics efficiently in order to improve the quality of software in the software development process.

• Nutrition Research and Practice
• /
• v.14 no.4
• /
• pp.352-364
• /
• 2020

BACKGROUND/OBJECTIVES: Given the increasing proportion of the Korean population that is aged 65 years and older, the present study analyzed the relationship between diet quality and sarcopenia in elderly persons by using data from the 2008-2011 Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: Data for 3,373 persons aged 65 years and over (men: 1,455, 43.1%) were selected from the 2008-2011 KNHANES. Sarcopenia assessments are based on a formula that divides a subject's appendicular skeletal muscle mass (ASM) by their weight (wt) and multiplies that result by 100 ([ASM/wt] × 100). Sarcopenia is present if the subject's result was less than one standard deviation (SD) below the sex-specific mean for a young reference group. For evaluation of diet quality, data obtained via the 24-hour recall method were used to calculate the Diet Quality Index for Koreans (DQI-K). A general linear model was applied in order to analyze general information and nutritional intake according to sarcopenia status. For analysis of the relationship between diet quality and sarcopenia, a binominal logistic regression analysis was undertaken. RESULTS: The sarcopenia prevalence rate among the study subjects aged 65 years and over was 37.6%. The DQI-K of those without sarcopenia was 3.33 ± 0.04 points, while that of those with sarcopenia was 3.45 ± 0.04 points (P < 0.05). The relationship between diet quality and sarcopenia revealed that subjects aged 75 and older had a poor diet quality, and their odds ratio (OR) of sarcopenia presence was significantly higher (OR: 1.807, 95% confidence interval: 1.003-3.254, P < 0.05). CONCLUSIONS: This study revealed that poor diet quality was related to sarcopenia presence in Koreans aged 75 and older. In order to improve the diet quality of the elderly (aged 75 and older), it is necessary to develop dietary improvement guidelines.

• Physical Therapy Korea
• /
• v.17 no.2
• /
• pp.75-83
• /
• 2010

This study purposed to analyze difference in the perception of service quality between physical therapy patients and physical therapists and to provide basic materials for maintaining high service quality that meets patients' expectation in each service area. For this study, we conducted a questionnaire survey with physical therapy patients and physical therapists in Jeju from the 6 to 30 of January, 2010. In the survey, we received 133 questionnaires from patients and 125 from physical therapists, and used them in analysis. The instrument used in this study to measure service quality was prepared by the researcher through adapting and supplementing the SERVQUAL model developed by Parasuraman et al (1991). For our physical therapy environment, and it consisted of a total of 23 questions in five areas, namely, tangibility, reliability, responsiveness, assurance, and empathy. Patients' perception of service quality was high in order of reliability, assurance, empathy, responsiveness, and tangibility. In four areas with exception of reliability, quality perceived by patients was lower than that perceived by physical therapists, and particularly in responsiveness(t=2.82, p=.00) and empathy(t=2.02, p=.04), the difference between patients and physical therapists was statistically significant. In order to reduce the difference in the perception of service quality between patients and physical therapists, it is considered necessary to enhance physical therapists' perception of service quality and to prepare measures for improving service equality so that services would be provided through respectful communication with maintaining the dignity of patients, rather than focusing on disease.

• International Journal of Computer Science & Network Security
• /
• v.24 no.2
• /
• pp.31-42
• /
• 2024

Different industries mostly rely on quality certification for promoting their products or brands. Although getting quality certification, specifically by human experts is a tough job to do. But the field of machine learning play a vital role in every aspect of life, if we talk about quality certification, machine learning is having a lot of applications concerning, assigning and assessing quality certifications to different products on a macro level. Like other brands, wine is also having different brands. In order to ensure the quality of wine, machine learning plays an important role. In this research, we use two datasets that are publicly available on the "UC Irvine machine learning repository", for predicting the wine quality. Datasets that we have opted for our experimental research study were comprised of white wine and red wine datasets, there are 1599 records for red wine and 4898 records for white wine datasets. The research study was twofold. First, we have used a technique called backward elimination in order to find out the dependency of the dependent variable on the independent variable and predict the dependent variable, the technique is useful for predicting which independent variable has maximum probability for improving the wine quality. Second, we used a robust machine learning algorithm known as "XGBoost" for efficient prediction of wine quality. We evaluate our model on the basis of error measures, root mean square error, mean absolute error, R2 error and mean square error. We have compared the results generated by "XGBoost" with the other state-of-the-art machine learning techniques, experimental results have showed, "XGBoost" outperform as compared to other state of the art machine learning techniques.

• Journal of Korean Society for Quality Management
• /
• v.30 no.3
• /
• pp.120-138
• /
• 2002

In order to carry out TQM and 6 Sigma management, it is the key elements to make clear a goal and a mission. Above all, we can succeed In achieving a dramatic change and a great outcome only when we make clear the method, incentives, organization and plans under the clear objective. In order to secure the competitiveness against the external challenge, it is essential to keep the several crucial factors such as CEO's will, the systematic process to measure and manage, monitoring to satisfy customer's needs and an aggressive development of TQM activity to encourage the endeavour of the relentless enhancement, and also a positive effort Is to be made for evaluating all quality culture like training experts internally by an outstanding training program under CEO's firm leadership. This study is carried out to understand that which features and factors of success can exist in a company culture if a company accepts a theoretical basis and concept, the general of TQM and 6 Sigma which are one of a management strategy, and carries out TQM and 6 Sigma for achieving improvement of quality and customer's satisfaction.

• Journal of Korea Multimedia Society
• /
• v.20 no.10
• /
• pp.1662-1670
• /
• 2017

A-Scan NDT equipment is widely used in the industrial field because it is inexpensive and easy to carry but it is necessary to have a skilled inspection specialist who is trained to analyze the waveform of ultrasonic signal. Since the welding quality is judged subjectively by the specialist, there is a problem in the reliability of the quality. In the C-Scan NDT which overcomes the shortcomings of the A-Scan, welding part can be represented in the form of two dimensional image by combining one dimensional ultrasonic waveform so that the quality of welding can be grasped without the help of specialist. In order to develop C-Scan NDT, it is necessary to develop an array type two dimensional transducer and an algorithm to composing image by combining ultrasonic signals generated from a two dimensional transducer. In addition, the noise component must be minimized in the ultrasonic signal in order to display the quality of welding in the form of images. Therefore we propose a method to remove noise component from the ultrasonic wave and construct a two dimensional ultrasonic image.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.5 no.3
• /
• pp.605-611
• /
• 2001

In order to offer the service information of high-quality, we should develop the software of high-Quality. We need the united estimate method, because existing developed quality measurements individually measure attributes using the different viewpoint. Therefor, this paper propose the model that able to include many method of measurements. Our model selects the ratio scales and calculates the relative significance of them by using rough logic. Then, in order to measure the quality of module, it integrates the significance of scales and the measured value of them by using fuzzy integral. Finally, we analyze the correlation between the existing scales with our measurement and validate our model through statistical technique.

• The KIPS Transactions:PartD
• /
• v.11D no.7 s.96
• /
• pp.1459-1466
• /
• 2004

As the area of software application is increased. the software is becoming larger and more complex. In addition, development of the high quality software within the limits of the budget is strongly demanded. Many methodologies, such as software process improvement, object-ori-ented development, requirement-engineering, and software metrics have been introduced in the software development process in order to attain such objectives. Among those techniques. Requirements-Engineering gives basic guideline to develop high quality software. In other word. in order to develop high quality software, requirements should be elicited, and described. And with proper reviews and management. the quality of requirements can be improved. In this paper, quantitative measurement method that is based on IEEE Std-830-1998 for the require-ment-specifications is proposed.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.28 no.5
• /
• pp.1064-1068
• /
• 1999

This study was quality changes of sulgiduk added green tea powder during storage. Sulgiduk prepared with various concentrations of green tea powder; 0%(control group), 0.5%(GT 0.5 group), 1%(GT 1.0 group), 1.5%(GT 1.5 group), 2%(GT 2.0 group), and the changes of its quality during 7 days of storage were investigated. Total microbe numbers, the acidity and pH in sulgiduk during storage were decreased with increasing the added amounts of a green tea powder, and especially those of GT 1.0 and GT 1.5 groups had relatively the lower than other groups. The "L" value(lightness) of the control group was the highest among five groups, and its value was decreased throughout storage, and especially GT 0.5 groups had the lowest brightness. The "a" value(reddness) of the control group was higher than other four groups, and increased GT 2.0>GT 1.5>GT 1.0>GT 0.5 groups, in that order. The "b" value(yel lowness) was increased in the order; GT 2.0>GT 1.5>GT 1.0>GT 0.5 groups. These results indicated that GT 1.0 group showed the best quality than other groups of sulgiduk during storage. of sulgiduk during storage.

• Transactions of the Korean hydrogen and new energy society
• /
• v.28 no.6
• /
• pp.704-711
• /
• 2017

Korea, which has a high dependency on energy imports, is greatly affected by fluctuations in international oil prices. In order to offset these effects, various policies such as 'diversification of energy sources' and 'energy mix' are being pursued. Renewable Fuel Standard (RFS) is a policy promoted for this purpose, and a compulsory mixing system is applied only to the diesel. In order to reduce dependence on fossil fuels in various countries, they are concentrating on the dissemination of bio-alcohol as well as bio-diesel, and commercialization through various verification. In this study, evaluation of domestic materials and vehicles was carried out to promote domestic bio alcohol fuel. We analyzed the fuel characteristics of domestic quality standard items by mixing them with gasoline of automobile at a certain mixing ratio (0%, 3%, 6%, and 10%).