• The Journal of the Korea Contents Association
• /
• v.21 no.2
• /
• pp.437-444
• /
• 2021

The aim of this study was to compare the cardiac CT and cardiac MRI in calculating and correcting the left ventricle ejection fraction by analyzing the physical and temporal resolution for reducing the misdiagnosis rate. One hundred thirty-eight patients with aortic value regurgitation who underwent both cardiac CT and cardiac MRI were analyzed. Left ventricle ejection fractions calculated from each exam were corrected based on the physical and temporal resolution differences and the reliability test evaluated whether the misdiagnosis rate of cardiac CT was improved after the correction. As a result of the study, the misdiagnosis rate of cardiac CT ejection fraction before correcting the difference in physical and temporal resolution was 38.4%(53 persons). In addition, it can be seen that the corrected cardiac CT ejection fraction confirmed in the Bland-Altman plot was highly consistent with the ejection fraction of cardiac MRI. In conclusion, as the cardiac CT is less well suited for measuring ejection fraction, physical characteristics and the time resolution correction using cardiac MRI is needed and the misdiagnosis rate after correction decreased to 14.5%(20 persons). Therefore, this study appears more appropriate for better prediction of ejection fraction and clinical utility.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.6
• /
• pp.167-178
• /
• 2021

Since 2014, the quality level survey of the defense industry has been carried out annually. The need for this was felt as the quality control policy was inadequately reflected in the survey results. In this study, to secure valid and reliable data, the quality level survey measurement indicators and questionnaires used previously were analyzed and developed as customized papers according to the size of the company. The questionnaire index was simplified through the elimination of unnecessary and redundant items to improve the response rate and reliability. In addition, a comprehensive score was computed based on the improvement index so that the result of the quantitative quality level survey could be calculated. Through this, it was possible to determine the quality level attained by the defense industry. Through the quality level survey, we intend to secure data that can analyze the quality management environment to maintain quality levels of the defense industry and identify ways to establish mid-to-long-term quality management strategies and improve systems to enhance the quality level of the defense industry in the future.

• Journal of Food Hygiene and Safety
• /
• v.36 no.1
• /
• pp.34-41
• /
• 2021

The purpose of this research is to improve analysis methods of determining the contents of fatty acids in infant formulas and follow-up formulas. A gas chromatography (GC) method was performed on a GC system coupled to flame ionization detector, with a fused silica capillary column (SP2560, 100 m×0.25 mm, 0.20 ㎛). The method was validated using standard reference material (SRM, NIST 1849a). Performance parameters for method validation such as specificity, linearity, limits of detection (LOD) and quantification (LOQ), accuracy and precision were examined. The linearity of standard solution with correlation coefficient was higher than 0.999 in the range of 0.1-5 mg/mL. The LOD and LOQ were 0.01-0.06 mg/mL and 0.03-0.2 mg/mL, respectively. The recovery using standard reference material was confirmed and the precision was found to be between 0.8% and 2.9% relative standard deviation (RSD). Optimized methods were applied in sample analysis to verify the reliability. All the tested products had acceptable contents of fatty acids compared with component specification for nutrition labeling. The result of this research will provide efficient experimental information and strengthen the management of nutrients in infant formula and follow-up formula.

• The Journal of Korean society of community based occupational therapy
• /
• v.10 no.3
• /
• pp.53-61
• /
• 2020

Objective : The purpose of this study was to find out the stress of vascular conditions and leisure activities for the elderly and the effect of stress problems on the vascular conditions of the elderly. Methods : The study surveyed 172 elderly people, conducted a validity and reliability analysis to organize items of leisure activities, analyzed vascular conditions and stress for leisure activities, and conducted a regression analysis to analyze stress factors affecting the blood vessel conditions of the elderly. Results : First, there was a significant difference in comparing the average value of vascular conditions for leisure activities in the elderly (p=.012) and sports activity was the most stable in vascular conditions. Second, there was a significant difference in comparing the average value of stress for leisure activities of the elderly (p=.035) and rest and other activities were higher than other activities. Third, the effect of stress problems in older people on vascular conditions has been shown to be influenced by financial difficulties and health problems. Conclusion : Leisure activities in older people can act as a factor in changing the quality of life. Older adults can expect improvement of vascular conditions and reduction of stress through leisure activities, especially sports activities have a high relationship of vascular conditions, and rest and other activities have a high relationship with stress. As a result, this study confirmed the importance of selecting and continuing participation in leisure activities for the elderly.

• Korean Journal of Remote Sensing
• /
• v.36 no.6_2
• /
• pp.1493-1507
• /
• 2020

The LEOP Cal/Val (Launch and Early Operation Phase Calibration/Validation) was carried out during 6 months after KOMPSAT-3A (KOMPSAT-3A Korea Multi-Purpose Satellite-3A) was launched in March 2015. After LEOP Cal/Val was successfully completed, high resolution KOMPSAT-3A has been successfully distributing to users over the past 8 years. The sub-meter high-resolution satellite image data obtained from KOMPSAT-3A is used as basic data for qualitative and quantitative information extraction in various fields such as mapping, GIS (Geographic Information System), and national land management, etc. The KARI (Korea Aerospace Research Institute) periodically checks and manages the quality of KOMPSAT-3A's product and the characteristics of satellite hardware to ensure the accuracy and reliability of information extracted from satellite data of KOMPSAT-3A. To minimize the deterioration of image quality due to aging of satellite hardware, payload and attitude sensors of KOMPSAT-3A, continuous improvement of image quality has been carried out. In this paper, the Cal/Val work-flow defined in the KOMPSAT-3A development phase was illustrated for the period of before and after the launch. The MTF, SNR, and location accuracy are the key parameters to estimate image quality and the methods of the measurements of each parameter are also described in this work. On the basis of defined quality parameters, the performance was evaluated and measured during the period of after LEOP Cal/Val. The current status and characteristics of MTF, SNR, and location accuracy of KOMPSAT-3A from 2016 to May 2020 were described as well.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.1
• /
• pp.9-18
• /
• 2021

This study was aimed to investigate the effects of hair dyeing and changes of hair quality by the application of indigo dye. Methods: Indigo dye was used after water bath. After application of the dye to healthy and bleached hair samples, they were treated with heat and remained naturally by different times. Each sample was measured before and after the application and compared for the analysis. To investigate the effects of dyeing, L⁎, a⁎, and b⁎ values and bleaching degree were measured using by color-difference meter. To understand the changes of hair quality, absorbance and gloss were measured using by tensile strength and methylene blue. Results: Upon the results of dyeing, all the samples showed the significant dyeing effects before and after the application in terms of L⁎, a⁎, and b⁎ values. With respect to the bleaching effects, it showed the greatest change on Day 1 and did not show any changes from Day 3. For the measurement of tensile strength, mean values of all the samples were increased. However, the results were not significant, statistically, demonstrating no change of hair quality. No statistically significant results were found in the samples except healthy 7L(3) sample upon the absorbance results using methylene blue. Gloss of samples was changed upon the statistical analysis results. Conclusion: Indigo dye showed the hair dyeing effects, significantly, while gloss was changed and tensile strength and absorbance were not changed in terms of hair quality. Further studies are required on the processing with a variety of dyes and on the measurements for reliability and objectivity.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
• /
• v.26 no.3
• /
• pp.185-200
• /
• 2021

The Marine Environment QA/QC management system has been operated since 2010 to secure the reliability of data and improve the analysis capabilities of measurement and analysis institutions. From 2010 to 2020, the cumulative number of measurement and analysis institutions participated in the QA/QC management system was 266. And the number of certificates issued by the ministry of oceans and fisheries is 182. A total of 32 reference materials for proficiency testing and interlaboratory comparisons have been developed. They were first developed focusing on items (Nutrients, COD) commonly analyzed in marine environmental measuring network, marine pollution impact surveys, sea area utilization impact assessment, deepsea water surveys, and information network on fishing ground environments. In addition, it is time to expand the filed of the QA/QC management system, such as seawater temperature, salinity, PCBs and PAHs in sediments, which are mainly analyzed in most monitoring programs. On-site assessment has been conducted for 162 laboratories according to ISO/IEC 17025 to evaluate their conformity of the quality management system and deficiency. In terms of management and technology requirements, about 4.2% of organizations showed insufficient division of duties among employees 8.7% of them revealed the lack of employee training. By test item, about 6.3% of organizations showed the lack of standard substance management and the state of the cleaning glassware was pointed out in about 5.4% of them. The QA/QC management system should be continuously supplemented by identifying the causes of nonconformities and area for improvement.

• The Journal of the Korea Contents Association
• /
• v.21 no.5
• /
• pp.607-626
• /
• 2021

The purpose of this study is to verify the effect of leader's managerial coaching behavior on employees' innovative behavior and to confirm the mediating effect of entrepreneurship and the moderating effect of LMX(Leader-Member Exchange). Hypotheses were established based on prior research and variety of theories including broaden-build theory and self-efficacy theory. The survey was accessed via the online, 279 employees over 20's or older, who have worked in various domestic organizations were participated. SPSS 25.0 and AMOS 25.0 were used to verify the reliability and validity of the collected data, and the hypothesis was analyzed by SPSS process macro 3.0. The study found that leader's managerial coaching behavior has positive effects on both employees' entrepreneurship and innovative behavior and that entrepreneurship has mediating effect between leader's managerial coaching behavior and an employees' innovative behavior. The results of this study suggested leader's managerial coaching behavior is a prominent factor in facilitating innovative behavior among employees. Implications include an organizational requirement to develop systems for initiating effective managerial coaching behavior in leadership, and for improvement of both entrepreneurship and LMX among employees.

• Journal of Internet of Things and Convergence
• /
• v.8 no.5
• /
• pp.11-16
• /
• 2022

As an interest in the development of artificial intelligence(AI) technology in the water supply sector increases, we have developed an AI algorithm that can predict improvement decision-making ratings through repetitive learning using the data of pipe condition evaluation results, and present the most reliable prediction model through a verification process. We have developed the algorithm that can predict pipe ratings by pre-processing 12 indirect evaluation items based on the 2020 Han River Basin's basic plan and applying the AI algorithm to update weighting factors through backpropagation. This method ensured that the concordance rate between the direct evaluation result value and the calculated result value through repetitive learning and verification was more than 90%. As a result of the algorithm accuracy verification process, it was confirmed that all water pipe type data were evenly distributed, and the more learning data, the higher prediction accuracy. If data from all across the country is collected, the reliability of the prediction technique for pipe ratings using AI algorithm will be improved, and therefore, it is expected that the AI algorithm will play a role in supporting decision-making in the objective evaluation of the condition of aging pipes.

• Journal of Internet Computing and Services
• /
• v.23 no.4
• /
• pp.45-55
• /
• 2022

The size of the cryptocurrency market is growing. For example, market capitalization of bitcoin exceeded 500 trillion won. Accordingly, many studies have been conducted to predict the price of cryptocurrency, and most of them have similar methodology of predicting stock prices. However, unlike stock price predictions, machine learning become best model in cryptocurrency price predictions, conceptually cryptocurrency has no passive income from ownership, and statistically, cryptocurrency has at least three times higher liquidity than stocks. Thats why we argue that a methodology different from stock price prediction should be applied to cryptocurrency price prediction studies. We propose Reverse Walk-forward Validation (RWFV), which modifies Walk-forward Validation (WFV). Unlike WFV, RWFV measures accuracy for Validation by pinning the Validation dataset directly in front of the Test dataset in time series, and gradually increasing the size of the Training dataset in front of it in time series. Train data were cut according to the size of the Train dataset with the highest accuracy among all measured Validation accuracy, and then combined with Validation data to measure the accuracy of the Test data. Logistic regression analysis and Support Vector Machine (SVM) were used as the analysis model, and various algorithms and parameters such as L1, L2, rbf, and poly were applied for the reliability of our proposed RWFV. As a result, it was confirmed that all analysis models showed improved accuracy compared to existing studies, and on average, the accuracy increased by 1.23%p. This is a significant improvement in accuracy, given that most of the accuracy of cryptocurrency price prediction remains between 50% and 60% through previous studies.