• Journal of Korean society of Dental Hygiene
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• v.12 no.3
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• pp.503-511
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• 2012

Objectives : This research seeks to present the data needed for the development of coping strategy, following medical market opening by identifying dental hygienists' perspective and coping measures towards the opening. Methods : One hundred eighty-eight dental hygienists were targeted to identify their level of perception towards medical market opening, attitude towards medical market opening, question of whether they agree or not with the opening and reasons, and coping measures and benefits of the medical market opening. t-test, chi-square test and cross-tabulation analysis were used for the analysis Results : First, team leaders are more aware of the medical market opening and hold greater sense of crisis towards opening compared to the rank and file. Second, the reasons cited for agreeing with the medical market opening included improvement of medical services' quality and diversification of services. As for the reasons for disagreeing, they cited the increase medical expenses paid by public. Third, limitation of the hospital management technique was cited the most when it comes to the scope of Korean hospitals' management crisis, followed by the limitations of the diagnosis procedure, limitations of the medical services, limitations of the medical techniques and increase in the number of large hospitals, in the order cited. Fourth, team leaders perceive greater need to seek coping measures from the aspect of realizing medical insurance fee from the policy development, service and system level aspects when it comes to the coping measures depending on their ranks. Conclusions : Therefore, Dental Hygienist has a comparatively low awareness of medical market opening, coping measures need to be explored to cope with the medical market opening by ensuring the dissemination of accurate knowledge through the education on the fees for dental hygienist and seminars in relation to the medical market opening.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.2
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• pp.72-83
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• 2003

The main purpose of this study was to analyze the causal relationship, in the perspective of Total Quality Management, among the education quality factors, which were suggested in the previous researches, including education leadership, process improvement, educational environment, regional commitment, student performance and satisfaction of education quality. In this study, education quality factors were measured by several measures, and were processed with the most efficient statistical package in the SEM area, AMOS. In order to analyze the causal relationship among the education quality, this study designed the structural equation model with suggested factors and established several the research hypotheses. Also this study found that there was a prominent causality among the education quality factors, such as education leadership, education environment, student performance and satisfaction of education quality.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.41-55
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• 2005

In this research, we've studied to the software productivity and quality measures and metrics for raise UP the advanced software industry. For the purpose, we've studied relative research and reorganized 74 metrics. Reorganized 74 metrics were developed considering scalability, measurement and acquisition possibility and verified by software development experts. Finally, we've conducted a survey on the high measurement possibility metrics. Data were gathered from 20 software development project. It was found from the result need more efforts for the software development productivity improvement for advanced software industry.

• Journal of the Korean Society of Safety
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• v.33 no.5
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• pp.177-185
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• 2018

The school space is a place for learning activities and community activities, and it is used as a shelter for various disasters. Recently, the frequency and magnitude of damages of school facilities due to various disasters are increasing, and similar accidents occur repeatedly every year, causing enormous damage to school classes. Furthermore, damage to school facilities will require considerable time and safety confirmation measures to restore disaster and normalize the class. In this regards, based on the questionnaire survey on the difficulties and improvement measures of the disaster recovery work of the school safety manager, we propose the application of in-kind compensation for damage to school facilities to ensure rapid disaster recovery, simplification of administrative procedures, and quality of restoration work.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.11-16
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• 2022

Applying predictive analytics to predict software defects has improved the overall quality and decreased maintenance costs. Many supervised and unsupervised learning algorithms have been used for defect prediction on publicly available datasets. Most of these datasets suffer from an imbalance in the output classes. We study the impact of class imbalance in the defect datasets on the efficiency of the defect prediction model and propose a CPP method for handling imbalances in the dataset. The performance of the methods is evaluated using measures like Matthew's Correlation Coefficient (MCC), Recall, and Accuracy measures. The proposed sampling technique shows significant improvement in the efficiency of the classifier in predicting defects.

• The Journal of the Acoustical Society of Korea
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• v.23 no.4E
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• pp.125-133
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• 2004

In this paper, we propose a critical banded wavelet packet-based spectral subtraction for speech enhancement. Critical banded wavelet packet, which reflects the human auditory system, may lead to minimization of intelligibility loss and quality improvement of the enhanced speech in the spectral domain, when combined with an appropriate spectral subtraction gain function. The proposed method shows better performance than the conventional one in comparative assessments. We also show that, for effective evaluation of enhanced speech, it is essential to consider the characteristics of speech quality measures.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.217-218
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• 2017

In this study, we analyzed the main factors contributing to SCM quality improvement. The external factors influencing the SCM are environmental aspects and aspects of cooperation with other companies. Internal factors include agility management, flexibility management, and uncertainty management. We analyzed how the factors on each side can improve the quality of SCM and proposed new measures to improve overall SCM performance.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.184-185
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• 2019

Korea has defined fine dust as a social disaster as the problem of fine dust and air pollution becomes serious. Fine dust is classified as class one carcinogens because it is harmful to human body. When fine dusts enter the human body, they cause bronchial and skin diseases such as respiratory allergies, irritable pneumonia, asthma and atopy. As the air pollution becomes serious, the government is demanding measures to reduce fine dust. The polluted air in the outdoor is introduced into the room, thereby increasing the pollution degree of the indoor air quality. In this study, an adsorption type matrix for the improvement of indoor air quality was produced. Magnesium oxide and magnesium chloride were used as binders and diatomaceous earth was used as a adsorption material.

• Journal of Applied Reliability
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• v.17 no.4
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• pp.362-369
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• 2017

Purpose: Recently, the government of China has established new safety regulations for towing devices. The new Chinese regulation has more unfavorable conditions than the conditions of other countries. So the various measures have been reviewed to satisfy this regulation. Methods: The regulation conditions were compared through analysis of strain energy, and a method for improving the accuracy of analysis is suggested. In addition, the test method considering the tolerance is presented through tolerance analysis. This paper also explained importance of confirming the quality of products through a case of poor quality of Chinese products such as poor heat treatment. Result: We could know how strong Chinese regulations are stronger than other national laws and investigated which member receives a lot of strain energy. In order to cope with these Chinese regulations, we suggested improvement of analysis accuracy, test method through tolerance analysis, and heat treatment quality. Conclusion: This paper contributed to general counterplan of the strengthened new Chinese regulations for towing device.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.194-204
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• 2020

Cultivar parameters, which are key inputs to a crop growth model, have been estimated using observation data in good quality. Observation data with high quality often require considerable labor and cost, which makes it challenging to gather a large quantity of data for calibration of cultivar parameters. Alternatively, data in sufficient quantity can be collected from the reports on the evaluation of cultivars by region although these data are of questionable quality. The objective of our study was to assess the quality of crop and management data available from the reports on the regional adaptation trials for rice cultivars. We also aimed to propose the measures for improvement of the data quality, which would aid reliable estimation of cultivar parameters. DatasetRanker, which is the tool designed for quantitative assessment of the data for parameter calibration, was used to evaluate the quality of the data available from the regional adaptation trials. It was found that these data for rice cultivars were classified into the Silver class, which could be used for validation or calibration of key cultivar parameters. However, those regional adaptation trial data would fall short of the quality for model improvement. Additional information on management, e.g., harvest and irrigation management, can increase the quantitative quality by 10% with the minimum effort and cost. The quality of the data can also be improved through measurements of initial conditions for crop growth simulations such as soil moisture and nutrients. In addition, crop model improvement can be facilitated using crop growth data in time series, which merits further studies on development of approaches for non-destructive methods to monitor the crop growth.