• Journal of Biosystems Engineering
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• 제29권4호
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• pp.335-340
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• 2004

This study was conducted to evaluate the internal quality of Korean red ginseng using VIS/NIR transmittance spectra. To classify the internal qualities, partial least squares(PLS) regression was conducted. The main results are as follows: To develop the PLS model, several wave bands were divided and incorporated into the model. Among the bands, the wavelength range of 550-1,020nm, excluded noise signal, showed the best evaluation results. Effect of step size on the performance of quality evaluation showed optimal at 15 steps. In order to enhance the accuracy of quality evaluation, the abnormal spectrum shape was considered first and then the PLS model was applied. Among the 150 samples, 12 samples were evaluated by the spectrum shape. In this study, to develop the optimal PLS regression model, among the 150 samples, 138 samples was used with exception of 12 samples which could evaluate the spectrum shape. The result of quality evaluation was promising as SEC and correlation coefficient were 1.09 and 0.967, respectively, and SEP and correlation coefficient were 1.04 and 0.958, respectively.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
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• pp.81-85
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• 2009

This study was to execute the basic property evaluation of recycled sand which produced by the sand flux device in order to evaluate the performance of differences between small large sand flux device. As a result, this study has found out that the recycled sand after passing the sand flux device had excellent quality characteristics compared with the One before passing the device. In additional experiment On the basic material properties, this study showed a tendency to improve the quality and performance significantly in case of fineness modulus, absolute surface dried density, 0.08mm sieve throughput, volume of clay lumps, and content of organic foreign matter. In conclusion, it was considered as various quality performances of recycled sand were improved through the production stage of prototype.

• 한국소음진동공학회논문집
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• 제22권6호
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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.

• 여성건강간호학회지
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• 제26권2호
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to investigate the effects of anxiety and smartphone dependency on sleep quality in pregnant women with preterm labor. Methods: The participants of this study were 111 pregnant women who were between 20 and 37 weeks of gestation and experienced preterm labor. The data were collected from October 1, 2018 to October 25, 2019. The collected data were analyzed using descriptive statistics (frequency, percentage, and standard deviation), as well as the t-test, Pearson correlation coefficients, and hierarchical multiple regression. Results: Significant negative correlations were found between anxiety and sleep quality and between smartphone dependency and sleep quality. Participants' history of preterm birth, pregnancy method, bowel movements, anxiety, and smartphone dependency significantly affected sleep quality, with an explanatory power of 18%. Conclusion: In order to improve the quality of sleep, which is an important health-related factor for pregnant women experiencing preterm labor, it will be necessary to identify a history of premature birth, pregnancies achieved using artificial reproductive technology, bowel problems, and smartphone dependency in advance and to provide nursing interventions accordingly.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.375-382
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• 2021

The paper introduces a model for evaluating and prioritizing mobile quality attributes and refactoring techniques through the examination of their effectiveness during the mobile application development process. The astonishing evolution of software and hardware has increased the demand for techniques and best practices to overcome the many challenges related to mobile devices, such as those concerning device storage, network bandwidth, and energy consumption. A number of studies have investigated the influence of refactoring, leading to the enhancement of mobile applications and the overcoming of code issues as well as hardware issues. Furthermore, rapid and continuous mobile developments make it necessary for teams to apply effective techniques to produce reliable mobile applications and reduce time to market. Thus, we investigated the influence of various refactoring techniques on mobile applications to understand their effectiveness in terms of quality attributes. First, we extracted the most important mobile refactoring techniques and a set of quality attributes from the literature. Then, mobile application developers from nine mobile application teams were recruited to evaluate and prioritize these quality attributes and refactoring techniques for their projects. A prioritization-based model is examined that integrates the lightweight multi-criteria decision making method, called the best-worst method, with the process of refactoring within mobile applications. The results prove the applicability and suitability of adopting the model for the mobile development process in order to expedite application production while using well-defined procedures to select the best refactoring techniques. Finally, a variety of quality attributes are shown to be influenced by the adoption of various refactoring techniques.

• 전기전자학회논문지
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• 제23권1호
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• pp.22-28
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• 2019

본 연구는 차량용 보링 생산 공정에서 기계적인 에러를 체크하기 위한 품질 체크용 모니터링 시스템을 개발한다. 기계적인 에러는 이상적인 절단경로와 비교하여 실제 절단경로의 공간위치 차이에서 나타난다. 제조공정 제품의 오차를 모니터하기 위해 제품의 인지왜곡, 죄임 에러, 기계공구의 회전과 운동에러의 반경회전과 같이 보링 품질에 영향을 미치는 다수 요소들을 설명한다. 생산품질을 입증하기 위해 IT 융합에 기반한 공정 에러율을 분석하고 분석 데이터를 메모리에 저장하는 품질체크 방법을 제안한다. 따라서 불량 생산 제품을 감지함으로써, 생산 코스트와 베어링의 손실을 줄일 수 있다.

• 한국학교ㆍ지역보건교육학회지
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• 제22권3호
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• pp.17-27
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• 2021

Objectives: As COVID-19 drags on, university students experience more stress and feel more anxious about their studies and career plans. Against the backdrop, this study aims to analyze the moderating effect of family health on the relationship between the spread of COVID-19 and the quality of life in university students. Methods: In order to achieve the purpose of this study, the results of an online survey performed with 216 university students in cities K and D were analyzed using frequency analysis, factor analysis, correlation analysis, regression analysis, and moderating effect analysis. Results: It was found that COVID-19 stress had a significant negative effect on the quality of life in university students, while family health showed a significant positive effect. In addition, the moderating effect of family health was statistically significant on the relationship between COVID-19 stress and the quality of life in university students. Conclusions: This study found that family health plays an essential role as a safety net in reducing stress and improve the quality of life in university students amid the social crisis of the COVID-19 pandemic. In this regard, it is required to develop various programs for communication with parents, including parent-child communication techniques.

• 산경연구논집
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• 제11권12호
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• pp.17-28
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• 2020

Purpose: The purpose of this study is to confirm the strategic direction of the firm regarding the capabilities of the organization and its employees in order to increase the utilization and business performance of employees by that introduce smart factories in the domestic manufacturing industry. Research design, data, and methodology: This study derived a structured research model to confirm the mediating effect of recognition responses between the quality characteristics of smart factories and dynamic capabilities. For the analysis, a total of 143 valid questionnaires were used for 200 companies that introduced smart factories from domestic SME's. Results: Quality Characteristics of Smart Factory and Dynamic Capabilities had a statistically significant effect on Usefulness. Recognition Response had a statistically mediating on the relationship between quality characteristics of smart factory and business performance. Recognition Response had a statistically significant effect on business performance. Conclusions: It suggests that firms introducing smart factory reflect them in their empowerment strategic because the recognition responses of its employees differ according to the quality characteristics and dynamic capabilities of smart factories. It also means that the information derived from the smart factory system is useful and effective to business performance and employees.

• 한국농촌간호학회지
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• 제16권1호
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• pp.11-17
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• 2021

Purpose: The purpose of this study was to compare the quality of life and depression in nursing students between Korean and Cambodians. Methods: The subjects of this study were 223 students taking up a four-year nursing course in colleges located in Area A in Korea and Area B in Cambodia. The collected data were analyzed using SPSS 22.0. Results: The total score on quality of life among the Korean students was significantly higher than that of the Cambodian students (t=-4.596, p<.001), while the total score on depression was lower in the Korean students compared to that of the Cambodian students. There was a statistically significant difference in the scores (t=5.179, p<001). When the levels of depression were compared, the difference between the two groups was statistically significant - the Korean students had 92.7% normal and 7.3% mild depression, while the Cambodian students had 80.9% normal and 19.1% mild depression (x²=6.781, p=.009). As a result of analyzing the correlation between the total scores on depression and quality of life, a statistically significant correlation was found in both Korean (r=-.721, p<.001) and Cambodian (r=-.508, p<.001) students. Conclusion: Therefore, a nursing intervention that considers the cultural differences should be developed in order to improve emotional response and quality of life of cambodian students.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.133-137
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• 2022

In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.