• 한국IT서비스학회:학술대회논문집
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• 2005.11a
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• pp.311-318
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• 2005

최근 정보 시스템의 기능이 복잡화, 거대화하고 있는 추세에 따라 감리인이 수작업으로 시험시나리오를 작성하고, 검증시험을 실시하는 것은 매우 비효율적이라고 할 수 있으며, 결과로 얻어진 증적 자료는 신뢰성 및 객관성 면에서 한계를 가지게 된다. 정보시스템 감리의 시험단계에 대하여 적정한 시험도구를 도입 ${\cdot}$ 적용함으로써 감리 시행의 효율성을 제고하고 정량적인 판단 근거를 제시하여, 감리 의견의 신뢰성 및 일관성을 확보하는데 도움이 될 수 있다. 본 연구에서는 감리서비스요인이 감리품질과 감리성과간의 관계에 미치는 영향과 이들과 자동화 도구 적용의 적합관계를 규명하고, 나아가서 감리품질과 감리성과간의 관계를 규명하고자 하였다. 연구결과, 자동화 도구가 감리품질에 유의한 영향요인이며, 또한 감리품질은 감리성과에, 그리고 자동화 도구의 적용이 감리성과에 유의한 영향을 미치는 것으로 밝혀졌다.

• 한국IT서비스학회:학술대회논문집
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• 2006.11a
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• pp.449-454
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• 2006

본 연구는 감리품질에 따른 감리성과와 프로젝트성과에의 영향으로 감리의뢰기관이 해당 감리기관에 재구매의도 또는 재계약의도에 대한 영향을 조사하였다. 연구결과, 설정된 연구모형을 중심으로 전반적인 분석을 수행하였으며, 경로분석 결과 모든 영향관계가 유의한 것으로 나타났다. 감리품질이 프로젝트성과와 감리효과 및 만족도에 정의 유의한 영향을 미치는 것으로 나타나 프로젝트성과와 감리 효과 및 만족도를 향상시키기 위해서는 감리품질뿐만 아니라 감리품질에 영향을 미치는 감리서비스요인에 대해 판단할 필요가 있으며, 감리효과와 만족도가 높으면 재구매에 정의 영향을 미치고, 프로젝트 성과가 높으면 재구매에 정의 영향을 미치는 것으로 나타났다.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.51 no.7
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• pp.618-623
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• 2006

This study was carried out to select the acceptance test influenced by some quality characteristics of rice, and may provide the basic information on rice grade of appearance quality as distinguished the numerical values. Forty-four Japonica rice varieties mainly cultivated in Korea were evaluated for a consumer acceptance test. Color preferences of rice were highly correlated with appearance quality (r=-0.897**) and redness (r=-0.893**). Especially, appearance quality value resulted from interaction of $redness{\times}yellowness$ values was expected as a specific character used for grade of rice appearance. Shape preferences of rice showed the positive correlation with grain width (r=0.527**) and grain size (r=0.454**). Result of the consumer acceptance test of rice appearance conducted through a cluster analysis revealed five groups. Our study suggests that it may be feasible to be graded by average of quality character among groups, grain width, and grain size in Duncan's multiple range test.

• Journal of the Korean Geosynthetics Society
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• v.19 no.1
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• pp.45-53
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• 2020

There is an increasing tendency to try to make predictive analysis using measurement data based on machine learning techniques in the railway industries. In this paper, it was predicted that Track quality index (TQI) using vehicle acceleration data based on the machine learning method. The XGB (XGBoost) was the most accurate with 85% in the all data sets. Unlike the SVM model with a single algorithm, the RF and XGB model with a ensemble system were considered to be good at the prediction performance. In the case of the Surface TQI, it is shown that the acceleration of the z axis is highly related to the vertical direction and is in good agreement with the previous studies. Therefore, it is appropriate to apply the model with the ensemble algorithm to predict the track quality index using the vehicle vibration acceleration data because the accuracy may vary depending on the applied model in the machine learning methods.

• Journal of Bio-Environment Control
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• v.23 no.2
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• pp.131-138
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• 2014

'Hanareum' pear is expected to produce the high quality small and medium-sized fruits without any major changes in the current cultivation techniques, inasmuch as its basic characteristics are already included in the range of small and medium-sized fruits. Thus, we tested the possibility of utilization of 'Hanareum' pear for producing small and medium-sized fruits, while establishing the limit of minimum fruit weight for the fruits in high quality. With the results of correlation analysis, it was possible to predict the fruit weight through the observation of soluble solid contents and flesh firmness, because both factors were closely correlated to fruit weight in all treatments. Moreover, these factors were confirmed to be useful indicators of forecasting consumer preference in the sensory evaluation. The fruit marketability was excellent under the conditions that were greater than $11.6^{\circ}Bx$ and less than 25.6 N for soluble solid contents and flesh firmness, respectively. When applying these standards of fruit quality to the results of regression analysis for fruit weight, non-treated fruits fulfilled both standards when the fruit weight was higher than 436 g, and the quality uniformity was also high on this state. Therefore, the production of high quality small and medium-sized fruits was determined to be under this condition. The weight limit for GA treated fruits was 620 g, and both fruit quality and uniformity were below the weight range of small and medium-sized fruits, with 300~500 g. Thus, GA treatment was suggested to be avoided, in order to produce the high quality small and medium-sized fruits.

• Horticultural Science & Technology
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• v.31 no.3
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• pp.289-298
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• 2013

Effects of curing treatments and storage temperature on the quality of Chinese yams (Dioscorea polystachya Turcz.) were investigated stepwise in three consecutive years for the optimization of postharvest handling procedures. Tuberous roots were harvested in early to mid November and cured under ambient or $29^{\circ}C$ heated air conditions for various periods according to the treatment conditions. Storage temperatures in the range of 0.5 to $7.5^{\circ}C$ were phased in to avoid chilling injury while examining storage potential from 4 to 7 months. As poststorage technology, short-term $60^{\circ}C$ hot-air exposure or low shelf temperature treatments were additively imposed. Curing treatments, especially heated air curing for 3-5 days tended to reduce the respiration and weight loss during storage while maintaining flesh firmness. Storage at $0.5^{\circ}C$ brought out typical chilling injury symptoms on the shelf with increases in respiration and lower flesh firmness by tissue breakdown resulting in the rapid loss of marketability. Optimum storage temperature appeared to be the $3-4^{\circ}C$ range which suppresses quality deterioration while avoiding chilling injury. Low shelf temperature seemed to be a necessary part of postharvest handling system to keep marketability through control of poststorage disorders such as rooting and decay. Overall results suggested that optimized postharvest program consisting of heated-air curing, storage at $3-4^{\circ}C$, and low shelf temperature could extend storage potential of Chinese yam to longer than 7 months.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1793-1794
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• 2006

네트워크 전력계측 장치는 전국의 수용가 측에 설치되며 전력품질을 감시할 수 있는 단말기와 표준화된 이더넷망(유무선)을 사용한 네트워크 환경과 전국의 전력품질 데이터를 수집할 수 있는 서버로 크게 구성된다. 본 논문에서는 128 샘플링으로 계측되는 전력품질계측 단말기를 구현하고 전력품질 분석 알고리즘을 고안하였으며 이더넷망을 이용하여 전력품질 데이터를 수집하고 수집데이터를 분석하여 전력 품질에 대한 분석을 하였다. 뿐만아니라 전력품질에 영향을 주는 고조파신호들과 OVER/UNDER 전압과 전류 및 주파수, SAG, SWELL, INTERRUPT등을 인식하여 해당 데이터를 메모리에 저장하는 일련의 알고리즘을 연구하였으며 이렇게 저장된 정보를 이더넷망에서 무결성과 신뢰성이 있게 고속으로 전송받을 수 있는 통신 프로토콜에 관한 연구가 수행하였다. 뿐만 아니라 응용프로그램에서 소프트에웨어적인 필터링 기법과 분석알고리즘을 연구하여 이상신호에 대한 원인 판단이 가능하도록 연구한다. 본 논문은 네트워크(인터넷/이더넷)와 전력품질계측 관련 방법론과 SERVER개념을 도입한 유비쿼터스에서 센서네트워크 기법을 전력산업에 융합하려는 연구에 그 요점이 있다.

• Informatization Policy
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• v.22 no.1
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• pp.28-46
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• 2015

Although the demand for the use of public data increases in accordance with the expansion of Government 3.0, the poor level of data quality and its management currently implemented is becoming obstacles to opening data to the public. To improve the efficiency of management, linkage and usage for data, standardized processes for data quality management have to be prepared and appropriate data quality assessment criteria should be established. In this paper, we propose the organizational maturity model that can assess the public data quality management level. This model consists of the process reference model and the measurement framework. Fifteen processes grouped by the PDCA cycle are defined in the process reference model. The measurement framework measures the organizational maturity level based on process capability levels. The organizational maturity model can be used to establish objectives and directions for public data quality improvement by diagnosis of current level of public data quality management and problem solving. This model can also facilitate open to the private sector and activate usage of stable public data through reliability enhancement.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.199-200
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• 2016

스포츠 산업 응용 분야에서 공의 실시간 품질검사는 산업 생산성과 경쟁력 견지에서 중요한 이슈이다. 컴퓨터 비전 기반 자동 품질검사는 이 문제를 해결하는 하나의 방법이다. 머신 비전 시스템은 품질관리 및 산업프로세스의 실시간 피드백을 주어, 물리적인 제한과 사람의 주관적인 판단을 극복할 수 있다. 컴퓨터비전 기반 시스템에서 디지털카메라에서 취득되는 디지털이미지는 주로 24-비트 컬러이미지이다. 이처럼 많은 레벨을 가지는 이미지분석은 복잡한 이미지 처리기법을 필요로 한다. 그러나 실시간 애플리케이션에서, 한 부분은 실시간으로 검사되어져야 한다. 이 논문에서는 최적의 임계값을 사용하여 스포츠산업계의 산업요구 사항을 만족하는 골프공 품질검사 시스템을 개발하였다.

• Food Science and Preservation
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• v.10 no.1
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• pp.32-36
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• 2003

Quality stability of the dried layer Porphyra tenera depending on various light sources, water activities, packaging materials and storage temperatures were investigated by peroxide value and chlorophyll degradation. Major fatty acids of dried layer were 45.7％ eicosapentaenoic acid and 13.6% palmitic acid. Quality stability was increased in order of darkness, incandescent and fluorescent increased sharply with the decrease of water activity and temperature, and also improved by the packaging material with strong barriers of water vapor, oxygen and light.