• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.371-372
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• 2006

In this paper, we propose a method that measures quality of digital correlator. Quality of digital correlator in field of image composition of radio astronomy have as important position for acquisition of radio wave image with high precision. Digital correlator should have wide bandwidth and high precision to study on deep space. Digital correlator, therefore, should be designed to have high speed processing and high precision. But, real time measurement of quality of digital correlator using acquisition data is difficult to compare accuracy of result because digital correlator should process a large quantity of data with high speed. Measurement method of quality, also, has intricate implementation of experiment equipment. this paper present methods that compose experiment equipment without external installation easily and verify quality of digital correlator perfectly.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.63-70
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• 2013

The multimedia data of game affects the immersion of the game depending on its quality. It is difficult to design the evaluation criteria of artistic quality of the data. But, in a technical point of view, it is possible to evaluate its quality. Thus, the design of evaluation standard can ensure the reliability and objectivity of quality. However, multimedia data quality evaluation metrics had not yet been designed. Therefore, in this study, we extracted quality evaluation elements of Game Multimedia Data, and verified the reliability of the elements. And we defined detailed evaluation items of each element, developed Multimedia Data Quality Evaluation Metrics. We expect that the results of this study will serve as a guide in the development of high-quality games, have a positive impact on the growth of the game industry.

• Korea Journal of Hospital Management
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• v.22 no.1
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• pp.10-20
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• 2017

Purposes: This study analyzed activities for improvement of quality of care in nursing units to identify group-level success factors of quality improving efforts. Methodology/Approach: Research subjects were 31 general wards of C university hospital, which has 1,200 beds. Data were collected through survey and focus group interview. The mean value of nurses in a ward was converted to unit-level variable value of the ward. The SPSS 24.0 version was used to analyse the data. The units were classified into two groups, high performing and low performing, by the subjective level of quality improvement performance. Findings: The main findings are as follows: 1. The high performing groups participated more in education related to quality improvement and showed more quality improvement cases in progress than that of their counterpart. 2. The high performing group's nurses show more positive perception and attitude on quality improvement activities, and they have positive assessment on the necessity, effect, satisfaction about the quality improvement activities. 3. Middle managers' ability, attitude, motivation, and effective communication across members of the ward played pivotal roles in boosting the quality improvement activities of wards.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.40-54
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• 2006

It's not easy to detect the high quality and functional compounds for control quality of food materials. The electronic nose was an instrument, which comprised of an array of electronic chemical sensors with partial specificity and an appropriate pattern recognition system, capable of recognizing simple or complex odors. It can conduct fast analysis and provide simple and straightforward results and is best suited for quality control and process monitoring in the field of functional foods. Numbers of applications of an electronic nose in the functional food industry include discrimination of habitats for medicinal food materials, monitoring storage process, lipid oxidation, and quality control of food and/or processing with principal component analysis, neural network analysis and the electronic nose based on GC-SAW sensor. The electronic nose would be possibly useful for a wide variety of quality control in the functional food and plant cultivation when correlating traditional analytical instrumental data with sensory evaluation results or electronic nose data.

• Journal of Korea Trade
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• v.26 no.7
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• pp.77-92
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• 2022

Purpose - This paper is an empirical investigation of the mediation effect of innovation activity in industry transformation considering the relationship between the semiconductor industry and high-quality economic development. The research questions are whether the semiconductor industry drives high-quality economic development and if so, what is the semiconductor industry's role in high-quality development? We found that the semiconductor industry has clearly improved the quality of economic development, and its comparative advantage has significantly increased per capita national incomes. Furthermore, innovation activity proved to be an intermediary factor for the semiconductor industry to promote high-quality economic development. The world economy should aim to reasonably develop the international semiconductor industry and cultivate innovation markets. Design/methodology - Our empirical model considers the relationship between the semiconductor industry, innovation activity, and high-quality economic development. We constructed an analysis framework based on data from 199 World Bank economies between 1995 and 2019, and we used a mediation effect method to calculate the total effect of the semiconductor industry on promoting high-quality economic development, the indirect effect of the semiconductor industry on promoting innovation activity, and the mediation effect of these innovation activities on the promotion of high-quality economic development. Findings - The results show that the semiconductor industry has significantly promoted high-quality economic development. This is true even after the robustness test of grouping and alternative variables was applied. An analysis of the mechanism shows that promoting patents, scientific research, efficient government, and urban management innovation are important mechanisms for the semiconductor industry to release high-quality development dividends. Originality/value - Although it has been shown that specific industries like semiconductors can affect high-quality economic development through industrial upgrading, few researchers have attempted to empirically test the impact of the semiconductor industry on high-quality economic development. In this paper, we use a mediation effect model, alternative variables and a grouping test to find the internal mechanisms of the comparative advantage of the semiconductor industry in high-quality economic development from the perspective of innovation activity.

• Journal of Welding and Joining
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• v.35 no.2
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• pp.30-34
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• 2017

The trend of the plasma cutting and laser cutting technology of metal alloys including high strength steel, aluminum alloys for the welding structures has been studied. The high-precision plasma systems offer a denser, higher energy arc that in effect produces a sharper cutting tool and high quality cutting products. The high-quality fiber laser systems with compact design and easy set-up make it ideal for cutting in the pipeline or steel structre manufacturing. This paper covers the scientometric analysis of the high efficient cutting technology which are based on the published research works in the 'plasma and laser', and 'cutting technology' obtained from Web of Science, and deals with the details of the background data of the plasma cutting and laser cutting technology.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.4 s.181
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• pp.99-108
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• 2006

Since mold industries are regarded as belonging to three types of bad business, capable young people are reluctant to work in this field. The industries are hard to employ skilled workers who have much experience and knowledge On the mold manufacturing. Thus, effective CAM systems are required for unskilled workers to create process plans and NC data for the manufacturing, and process plans play important roles in the downstream manufacturing processes, such as NC machining, polishing, and final assembly. This study proposes a decision support system that facilitates unskilled workers to easily select high quality NC-data, as well as to increase productivity. The proposed system is assumed to follow a CAM operation scenario that consists of next three steps: 1) identifying several process plans and enumerating feasible unit machining operations (UMOs) from material and part surface information, 2) creating all feasible NC-data based on UMOs using a commercial CAM system, 3) selecting the best NC data among the feasible NC data using four screening criteria, such as machining accuracy, machining allowance, cutting load, and processing time. A case study on the machining of a camera core mold is provided to demonstrate the proposed system.

• The Korea Journal of Herbology
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• v.24 no.4
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• pp.63-67
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• 2009

Objectives : Quality control for imported medicinal herbs is duty for regulation, however to the best of our knowledge there has been no report regarding quality control of imported ones. Therefore, this study investigated the data of imported ones for monitoring quality issue. Methods : These data are categorized according to item, the amount of import, country, inspection item, suitability, and incongruity reason based on the 248 results performed by KIOM. Results : China is the number one country for import with the value of 73%. Inspected medicinal herbs were 139 species, among them Poria is ranked as top for requested number and the amount of import. The amount of import is similar between high ranking 20 species and low ranking 119 ones, showing high ranking ones are major. The incongruity ratio was 7.7% from the total number of inspected items, the reason for incongruity was excess of tolerable amount of Cd residue. Conclusions : From the data, it is effective way to focus on high ranking herbs for evaluating imported herbs for quality control. The study of mechanism on Cd accumulation and its decrease is essential for environmental matter. And identification and storage for mixed used and easily decomposable herbs are remained for further study. Our study might be small step for showing guideline for proper quality control.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.441-452
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• 2018

Purpose: The purpose of this paper is to study quantitative risk grade assessment for objective government quality assurance activities based on risk management in initial mass production for weapon systems. Methods: The Defense quality management regulations and foreign risk assessment documents are referred to analyze problems performing quality assurance actives. The failure rate data, maintainability and cost of products have been studied to quantify the risk Likelihood and impact. The analyzed data were classified as risk grade assessment through K-means Cluster Analysis method. Results: Results show that a proposed method can objectively evaluate risk grade. The analyzed results are clustered into three levels such as high, middle and low. Two products are allocated high, eleven low and seven middle. Conclusion: In this paper, quantitative risk grade assessment methods were presented by analyzing risk ratings based on objective data. The findings showed that the methods would be effective for initial mass production for weapon systems.