• 품질경영학회지
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• 제26권1호
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• pp.48-60
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• 1998

This paper proposes a fourth generation index $C_{psk}$, constructed from $C_{psk}$, by introducing the factor｜$\mu$-T｜ in the numerator as an extra penalty for the departure of the process mean from the preassigned target value T. The motivation behind the introduction of $C_{psk}$ is that when $T\neqM$ process shifts away from target are evaluated without respect to direction. All indices that are now in use assume normally distributed data, and any use of the indices on non-normal data results in inaccurate capability measurements. In this paper, a new process capability index $C_{psk}$ is introduced for non-normal process. The Pearson curve and the Johnson curve are selected for capability index calculation and data modeling the normal-based index $C_{psk}$ is used as the model for non-normal process. A significant result of this research find that the ranking of the six indices, $C_{p}$, $C_{pk}$, $C_{pm}$, ${C^*}_{psk}$, $C_{pmk}$, $C_{psk}$in terms of sensitivity to departure of the process median from the target value from the most sensitive one up to the least sensitive are $C_{psk}$, $C_{pmk}$, ${C^*}_{psk}$,$C_{pm}$, $C_{pk}$, $C_{p}$.

• 디지털융복합연구
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• 제12권12호
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• pp.227-232
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• 2014

전 세계적으로 기술의 융합은 과학기술 분야에서 메가트렌드를 형성하고 있으며 선진국에서는 자국이 보유한 강점 기술을 기반으로 하는 새로운 융합기술의 도출에 주력하고 있다. 융복합과제의 융합지수를 도출함에 있어서 임의로 융합지수를 올리기 위한 조작이 가능하고, 사업계획서의 내용과 다소 차이가 있는 항목들이 추가되어 융합지수가 산출되는 등의 문제점이 예상되지만 평가 시에 이를 검증하기가 쉽지 않다. 따라서 본 논문에서는 융복합과제에 대한 융합지수 도출 시 연계되는 항목을 정하여 일관성을 유지할 수 있도록 하고, 평가 시 에도 이를 쉽게 확인할 수 있도록 하는 방안에 대해 제시하였다.

• 품질경영학회지
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• 제34권3호
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• pp.66-72
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• 2006

The process capability indices are widely used to measure the capability of the process to manufacture items within the specified tolerance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. The index $C_p$ has been widely used in various industries to assess process performance. In this paper, we propose new testing procedure on assessing $C_p$ index for practitioners to use in determining whether a given process is capable. The provided approach is easy to use and the decision making is more reliable. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on the proposed approach is illustrated.

• 한국농공학회지
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• 제26권3호
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• pp.35-45
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• 1984

Generally speaking, agriculture exist in a climatic environment of uncertainty. Namely, normal rainfall value, as given by the mean values, does not exist. Thought on exists, itl does not affect like extreme Precipitation value on the part of agriculture and of others. Therefore, it is important that we measure the duration and severity index of drought caused by extreme precipitation deficit. In this purpose, this study was dealt with the calculation of drought duration and severity indexs by the method of monthly weighting coefficient. There is no quantitive definition of drought that is universally acceptable. Most of the criteria was used to identify drought have been arbitrary because a drought is a 'non-event' as opposed to a distinct event such as a flood. Therefore, confusion arises when an attempt is made to define the drought phenomenon, the calculation of duration, drought index is based on the following four fundamental question, and this study was dealt with the answers of these four questions as they related to this analytical method, as follows. First, the primary interest in this study is to be the lack of precipitation as it relates to agricultural effective rainfall. Second, the time interval was used to be month in this analysis. Third, Drought event, distinguished analytically from other event, is noted by monthly weighting coefficient method based on monthly rainfall data. Fin-ally, the seven regions used in this study have continually affected by drought on account of their rainfall deficit. The result from this method was very similar to the previous papers studied by many workers. Therefore, I think that this method is very available in Korea to identify the duration of drought, the deficit of precipitation and severity index of drought, But according to the climate of Korea exist the Asia Monsoon zone. The monthly weighting coefficient is modify a little, Because get out of 0.1-0.4 occasionally.

• Journal of Biosystems Engineering
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• 제38권4호
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• pp.264-269
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• 2013

Purpose: This study was carried out to develop a classification index and grade levels to rate agricultural heaters for energy efficiency classification. Methods: The classification index was developed mainly by taking simplicity of calculation and easy access to relevant data into consideration. The grade levels were developed on the basis of a 5-grade classification system in which graded heaters are to be normally distributed over the grades. The value of each grade level were determined in terms of the classification index values calculated using the published performance data of agricultural heaters tested at the FACT in Korea over the past 12 years. Results: The thermal efficiency of agricultural heaters based on the enthalpy method was proposed as a reasonable classification index. The grade levels were proposed in equation form for three types of agricultural heaters: fossil fuel heaters, wood pellet heaters and wood pellet boilers. A reasonable energy efficiency classification of agricultural heaters could be performed using the proposed classification index and grade levels. Conclusions: It is expected that energy saving programs will be extended to agricultural machines in the near future. The classification index and grade levels to rate agricultural heaters for energy efficiency classification were developed and proposed for such near future to come.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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• pp.594-609
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• 1998

In this dissertation, a new process capability index $C_{psk}$ is introduced for non-normal process. The Pearson curve and the Johnson curve are selected for capability index calculation and data modeling the normal-based index $C_{psk}$ is used as the model for non-normal process. A significant result of this research find that the ranking of the seven indices, $C_p,\;C_{pk},\;C_{pm},\;C^{\ast}_{pm},\;C_{pmk},\;C_s,\;C_{psk}$ in terms of sensitivity to departure of the process median from the target value T=M from the most sensitive one up to the least sensitive are $C_{psk},\;C_{s},\;C_{pmk},\;C^{\ast}_{pm},\;C_{pm},\;C_{pk},\;C_p$. i.e, By the criteria adopted for evaluation of PCI's $C_{psk}$ is the most sensitive to the departure of the process median from target and $C_p$ is least

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2003년도 봄 학술발표회 논문집
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• pp.875-883
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• 2003

Slurry clay has much higher water content than liquid limit of clay and even if small loads apply, it suffers a great settlement. Accordingly it is very difficult to perform a general consolidation test about slurry clay because of high water content. In this study consolidation tests have been performed successfully using Rowe Cell Tester about 1 remolding clay and 3 slurry clays with a water content of 100%, 133% and 150%. From the test results compression index characteristics, secondary compression index characteristics and consolidation coefficient characteristics have been investigated about slurry clay and remolding clay. Also two kinds of theory, by Terzaghi theory and by Mikasa theory, has been used to calculate consolidation coefficients. Compared to the calculation results, they had a similar value of consolidation coefficient. However if Mikasa theory is applied in the field design, the period which reach to the required consolidation degree will be much reduced compared to the period by Terzaghi theory because the time coefficient T$\_$v/ by Mikasa theory is far smaller than T$\_$v/ by Terzaghi theory.

• 한국경영과학회지
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• 제41권3호
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• pp.59-74
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• 2016

Electricity sales are directly measured from individual consumers, which could minimize the time gap between data collection and public announcement. Furthermore, industrial electricity sales are highly linked with production and output. Therefore, industrial electricity consumption can be used to track production and output in real time. By using the high-frequency data of industrial electricity sales, this study develops the daily electricity business index (DEBI) to capture the daily economic status. The steps used to formulate DEBI are as follows: (1)selection of the explanatory variables and period, (2) amendment of the seasonal adjustment to eliminate daily temperature and effective day effects, (3) estimation of the weighted value via variables by using PCA, (4) calculation of DEBI and commencement of validation tests. Our empirical analysis and the Hodrick-Prescott filter analysis show that DEBI is highly related to existing economic indices.

• 재활치료과학
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• 제9권1호
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• pp.56-68
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• 2020

목적 : 본 연구는 치매로 인한 이상행동으로 인하여 음식물의 섭취에 영향을 보이는 환자들을 대상으로 행동관찰에 기반하여 식이 문제를 파악할 수 있는 국외의 체계화된 평가 도구들을 소개하고, 전문가 집단에 의한 내용타당도 검증을 통하여 한국화 하는 데 있다. 연구 방법 : 폭넓은 관련 문헌 검색에 기초한 수차례의 회의를 통하여 최종으로 한국판으로 개발할 평가도구 3종(Eating Behavior Scale; EBS, Edinburgh Feeding Evaluation in Dementia Scale; EdFED, Feeding Difficulty Index; FDI)을 선택하였다. 수정된 평가 도구 3종은 연구진들에 의하여 1차 번역되었으며, 9인으로 구성된 전문가팀을 대상으로 내용타당도지수(Content Validity Index; CVI)를 검증 하였다. 결과 : EBS 내용타당도 산출 결과 6개의 질문 항목 및 1개의 응답 항목 모두에서 CVI가 0.9 이상인 것으로 나타나 항목의 수정 없이 모든 항목을 한국판 EBS에 수록하였다. EdFED 내용타당도 산출 결과 11개의 질문 항목 모두에서 CVI값 0.9 이상인 것으로 나타나 항목의 수정 없이 모든 항목을 한국판 EdFED에 수록하였다. FDI의 내용타당도 산출 결과 19개의 질문 항목 모두에서 CVI값 0.8 이상인 것으로 나타나 항목의 수정 없이 모든 항목을 한국판 FDI에 수록하였다. 결론 : 국외에서 많이 활용되고 있는 치매 환자 대상의 행동 관찰기반 식이 평가도구 인 EBS, EdFED, FDI의 한국판을 개발하였다. 관찰기반의 한국판 평가 도구를 통하여 치매 환자들의 식이 관련 문제점들을 조기에 판단하고, 적절한 중재를 제공하는 것은 환자의 영양섭취 강화와 보호자의 부담 저하 측면에서 매우 중요하게 활용될 수 있을 것이다.

• 한국환경생태학회지
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• 제16권3호
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• pp.223-232
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• 2002

자연생태계의 보전을 위한 지역구분을 위하여 백두대간(피재-도래기재) 구간을 조사한 식생조사 자료를 바탕으로 식생의 보전가치를 식생지수라는 것으로 수치화하는 방법을 제시해 보고자 한다. 식생지수는 생물다양성, 임분의 보전가치, 환경의 청정성, 임분의 역사성 입지의 생산성 등을 바탕으로 수치화하였다. 식생지수는 백두대간 관리범위 설정에 이용될 수 있을 것이라 사료된다. 식생지수 I의 경우 총 113개의 조사지 중에서 59개 지역 52.2%가 핵심지역에 속하고, 34개 지역 30.1%, 20개 지역 17.7%가 각각 완충지역과 전이지역에 속하는 것으로 나타났다. 식생지수II의 경우 49개 지역 43.4%가 핵심지역에 속하고, 38개 지역 33.6%, 26개 지역 23.0%가 각각 완충지역과 전이지역에 속하는 것으로 나타났다.