• 한국항공운항학회지
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• 제18권1호
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• pp.11-18
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• 2010

GNSS(Global Navigation Satellite System) Ground Station performs GNSS signal acquisition and processing. This system generates error correction information and distributes them to GNSS users. GNSS Ground Station consists of sensor station which contains receiver and meteorological sensor, monitoring and control subsystem which monitors and controls sensor station, control center which generates error correction information, and uplink station which transmits correction information to navigation satellites. Monitoring and control subsystem acquires and processes navigation data from sensor station. The processed data is transmitted to GNSS control center. Monitoring and control subsystem consists of data acquisition module, data formatting and archiving module, data error correction module, navigation determination module, independent quality monitoring module, and system maintenance and management module. The independent quality monitoring module inspects navigation signal, data, and measurement. This paper introduces independent quality monitoring and performs the analysis using measurement data.

• 대기
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• 제24권1호
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• pp.77-87
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• 2014

The radar reflectivity is significantly affected by ground clutter, beam blockage, anomalous propagation (AP), birds, insects, chaff, etc. The quality of radar reflectivity is very important in quantitative precipitation estimation. Therefore, Weather Radar Center (WRC) of Korea Meteorological Administration (KMA) employed two quality control algorithms: 1) Open Radar Product Generator (ORPG) and 2) fuzzy quality control algorithm to improve quality of radar reflectivity. In this study, an occurrence of AP echoes and the performance of both quality control algorithms are investigated. Consequently, AP echoes frequently occur during the spring and fall seasons. Moreover, while the ORPG QC algorithm has the merit of removing non-precipitation echoes, such as AP echoes, it also removes weak rain echoes and snow echoes. In contrast, the fuzzy QC algorithm has the advantage of preserving snow echoes and weak rain echoes, but it eliminates the partial area of the contaminated echo, including the AP echoes.

• 한국의학물리학회지:의학물리
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• 제4권1호
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• pp.23-28
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• 1993

치료계획을 수행하는데 수반되는 isodose planning system 과 isodose calculation system, data set, equipment 등에 관한 치료계획의 성능관리에 대한 고찰을 시도하여 치료 오차의 한계를 최소화하여 치료행위의 정확성을 기하고자 한다.

• Spatial Information Research
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• 제17권2호
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• pp.231-241
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• 2009

현재 21세기 지식정보화사회와 유비쿼터스국토의 기반을 조성하는 3차원 국토공간정보의 구축을 위한 품질 관리의 중요성이 강조되고 있다. 통합품질관리를 통한 3차원 국토공간정보 품질관리의 향상은 공급자가 효과적으로 데이터를 갱신하고, 사용자가 최상의 자료를 취득할 수 있게 해준다. 본 연구는 기존 3차원 품질관리와 사례분석를 통하여 3차원 국토공간정보 품질관리개선안을 마련하고자 하였다. 본 연구에서는 첫째, 3차원 국토공간정보 품질관리의 개념을 수립하였고 둘째, 3차원 국토공간정보 품질관리의 범위와 내용 및 절차는 구체적인 세부 항목으로 분류하여 설정하였으며, 마지막으로 구축지침 개선안에 따라 3차원 국토공간정보의 구축 공정과정별로 품질관리표 등 품질과 관련된 개선사항을 도출하였다.

• 한국해양학회지:바다
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• 제26권3호
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• pp.277-289
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• 2021

해양에서 얻을 수 있는 여러 자료 중 화학, 물리, 지질분야에서 취득되는 비생물 자료에 대한 정도관리는 이미 부분적으로 정립되어 있으나, 생물자료는 채집과 분석 방법을 통일하기 어려워 자료의 정도관리 방법은 시작단계에 있다. 특히 해양어류의 경우, 자료의 사용 용도가 넓어 정도관리의 필요성이 더욱 요구되고 있지만 어종별 크기, 수명, 생활사 및 서식처에 따른 채집방법, 생산하는 자료의 종류가 다양하고 방대하여 현재 일관된 정도관리 지침을 제시하지 못하고 있다. 본 논문에서는 해양어류 자료가 활용되는 사례를 설명하고, 해양어류 자료수집 방법, 자료수집 방법의 한계, 그리고 해양어류 자료의 품질 개선 방안을 소개한다. 이 자료가 향후 국내에서 생산되는 해양어류자료에 관한 정도관리의 방향 정립에 도움이 되기를 희망한다.

• 품질경영학회지
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• 제24권2호
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• pp.113-127
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• 1996

A various quality data are produced during nuclear fuel fabrication. In order to control quality data efficiently, Computerization of Quality Information System(QIS) using personal computer was established. Database control software and analysis software were developed for QIS. QIS was applied the fuel manufacturing and quality inspection. Quality trend analysis, process control, process capability and quality history docket for nuclear fuel manufacturing were performed by QIS. Through the Quality Information System, quality assurance, quality control, process control and manufacturing engineering were performed efficiently in nuclear fuel manufacturing.

• Journal of Information Technology Applications and Management
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• 제17권1호
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• pp.83-105
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• 2010

The competence of enterprise for managing information is evaluated not by the amount of information but by the quality of information such as response time, data consistency, and data correctness. The degradation of data quality is usually caused by the inappropriate process of managing the structure and value of stored data. According to the recent survey on the actual condition of data quality management, the correctness and consistency of data appeared to be the most problematic area among the six criteria of data quality management such as correctness, consistency, availability, timeliness, accessibility, and security. Moreover, the problem was more serious in case of small and medium-sized companies than large enterprises. In this paper, therefore, we attempt to propose a new data quality control methodology for small and medium-sized companies that can improve the correctness and consistency of data without consuming too much time and cost. To adopt the proposed methodology to real application immediately, we provided some scripts for as-is analysis and devised automation tools for managing naming rules of vocabulary, terminology, and data code. Additionally, we performed case study on the distribution service of a small-sized company to estimate the applicability of our tool and methodology.

• 대한본초학회지
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• 제24권4호
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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.

• 품질경영학회지
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• 제51권4호
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• pp.663-675
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• 2023

Purpose: Skewness is an indicator used to measure the asymmetry of data distribution. In the past, product quality was judged only by mean and variance, but in modern management and manufacturing environments, various factors and volatility must be considered. Therefore, skewness helps accurately understand the shape of data distribution and identify outliers or problems, and skewness can be utilized from this new perspective. Therefore, we would like to propose a statistical quality control method using skewness. Methods: In order to generate data with the same mean and variance but different skewness, data was generated using normal distribution and gamma distribution. Using Minitab 18, we created 20 sets of 1,000 random data of normal distribution and gamma distribution. Using this data, it was proven that the process state can be sensitively identified by using skewness. Results: As a result of the analysis of this study, if the skewness is within ± 0.2, there is no difference in judgment from management based on the probability of errors that can be made in the management state as discussed in quality control. However, if the skewness exceeds ±0.2, the control chart considering only the standard deviation determines that it is in control, but it can be seen that the data is out of control. Conclusion: By using skewness in process management, the ability to evaluate data quality is improved and the ability to detect abnormal signals is excellent. By using this, process improvement and process non-sub-stitutability issues can be quickly identified and improved.

• 한국환경과학회지
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• 제17권12호
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• pp.1353-1361
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• 2008

Quality control of Argo(Array for Real-time Geostrophic Oceanography) data is crucial by reason that salinity measurements are liable to experience some drift and offset due to biofouling, contamination of sensor and wash-out of biocide. The automated Argo real-time quality control has a limit of sorting data quality, so that WJO program is adopted as standardized method of Argo delayed mode quality control (DMQc) in the world that is a precise quality control method. We conducted DMQC on pressure, temperature and salinity measured by Argo floats in the Pacific Ocean including expert evaluation. Particularly, salinity data were corrected using WJO program. 4 salinity profiles of Argo delayed mode were compared with nearby in situ CTD data and other Argo data in deep layer where oceanographic conditions are stable in time and space. The differences of both salinities were lower than target accuracy of Argo. As compared with the difference of salinities before DMQC, those after DMQC decreased by 60-80 percent. Quality of delayed mode salinity data seemed to be improved correcting salinity data suggested by WJO program.