• 농업과학연구
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• 제31권2호
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• pp.135-148
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• 2004

Rice is not only main food but also key farm income source of Korean farmers. In spite of the above facts, rice productivity was decreased on account of drought in every 2 or 3 years interval owing to the vulnerability of irrigation facilities throughout Korea in the past decades. As an context of the first five year economic development plan, all weather farming programme including 4 big river basin comprehensive development projects and large and medium sized irrigation water development projects were carried out successfully. Therefore the area of irrigated paddy were increased from 58% in 1970 to 76.2% in 1999. In the past decades, the Government had invested heavy financial funds to develop irrigation water but as an factor share analysis, the contribution rates of irrigation water and investment for farmland base development project have not been identified yet in national agricultural economic level. It is very scarce to find out the papers concerned to macro-economic factor share analysis or contribution rates of water and investment cost to rice production value in Korea considering the production function of the quantity of irrigation water and investment cost as independent variables. Accordingly this paper covered and aimed at identifying (1) derivation of rice production function with the time serial data from 1965 to 1999 and the contribution rates of irrigation water and total investment cost for farmland base development project. The analytical model of the contribution rates was adapted the famous Cobb-Douglass production function. According to the model analysis, the contribution rate of irrigation water to rice production in Korea was shown 37.8% which was equivalent to 0.28 of the production elasticity of water. The contribution rate of farmland base development project cost was revealed 22% and direct production cost of rice was contributed 60% in the growth of rice production and farm mechanization costs contributed to 18% of it respectively. The two contribution rates comparing with the direct production cost were small but without irrigation water and farmland base development, application of high-pay off inputs and farm mechanization might be impossible. Considering the food security and to cope with the frequent drought, rice farming and investment for the irrigation water development should be continued even in WTO system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.1473-1478
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• 2000

Severe fork-lift truck noise is annoying to an operator as well as one of the noise pollution elements. This paper presents the noise contribution analysis of a cabin type fork-lift truck to identify the major sources and its usage to reduce the interior noise level. The methodologies for this work are sound field analysis, sound intensity test, insertion loss test of duct system and etc. An effective method to suppress interior noise level of fork-lift truck and design guides are suggested.

• 정보관리학회지
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• 제27권3호
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• pp.169-187
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• 2010

본 연구의 목적은 지식기여 활동의 영향요인을 분석하고, 지식기여 활성화 방안을 모색하는데 있다. 특히 본 연구에서는 공공부문을 대상으로 온라인에서의 지식기여와 오프라인에서의 지식기여 활동에 영향을 미치는 요인을 분석하고, 이를 통해 지식기여 활성화 방안을 제시하고자 하였다. 구조방정식 모형 분석을 통한 가설검증 결과, 온라인 지식기여와 오프라인 지식기여에 유의미한 영향을 미치는 요인으로는 지지적 리더십, 내재적 동기, 지식품질 등으로 나타났다. 이러한 분석결과를 토대로 본 연구에서는 지식기여 활성화를 위한 전략 및 함의를 제시하였다.

• 한국콘텐츠학회논문지
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• 제21권3호
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• pp.771-782
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• 2021

사회적기업가정신은 조직성과에 핵심적인 역할을 담당하며 사회공헌활동은 조직구성원들의 사회적기업 가치 인식과 성과공유에 관계가 있다. 이에 본 연구는 사회적기업가정신과 조직성과 간의 관계에서 사회공헌활동의 매개효과 검증에 목적이 있다. 연구를 위해 사회적기업 구성원을 대상으로 설문조사를 실시하고 유효한 186부의 자료를 통계분석에 활용하였다. 통계분석은 측정변수의 신뢰도, 확인적 요인분석, 상관관계분석, 매개효과분석을 사용하였다. 연구 결과는 다음과 같다. 첫째, 사회적기업가정신, 사회공헌활동, 조직성과 간에는 정적으로 유의한 상관관계가 나타났다. 둘째, 사회적기업가정신은 조직성과에 유의한 정(+)의 상관관계를 나타냈다. 사회적기업가정신의 하위요인 중 사회적 목적, 진취성은 조직몰입에 유의한 영향을 미쳤다. 셋째, 사회공헌활동은 조직성과에 유의한 정(+)의 관계를 나타냈다. 넷째, 사회적기업가정신과 조직성과 간 관계에서 사회공헌활동은 부분매개효과가 나타났다. 이는 사회적기업의 성과향상에 사회공헌활동이 중요한 역할 담당하고 있음을 시사한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2013년도 춘계학술대회 논문집
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• pp.476-481
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• 2013

Transfer path analysis(TPA) and operational deflection shape(ODS) have been widely utilized to analyze the characteristics of noise. TPA enables to decompose a noise into air-borne and structure-borne noises then estimate the path contribution of noise. ODS enables to analyze a moving shape and direction of interest components at a particular frequency. In this paper, TPA and ODS are applied to transfer paths of air-conditioner booming noise in a vehicle to reduce noise level, then a fixture is mounted it's path for distributing the high portion path contribution to the low portion path contribution. Through this experiment, the reduction of sound pressure level in air-conditioner booming noise is observed. Thereafter, TPA is again employed to verify the results of contribution.

• 소음진동
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• 제9권5호
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• pp.949-954
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• 1999

Speed-up and mass reduction of railway vehicle usually causes increased of the interior noise. One of the best ways to control the interior noise is to identify the noise level radiated from each of parts in the cabin. In this paper, we describe the method to estimate the interior noise nad evaluate the noise contribution to each of parts. This method is based that the sound pressure can be calculated by using the frequency response function and acceleration. According to analysis of the noise contribution, we validated that the noise radiated from the floor is the higher in the cabin. We also measured the noise distribution for the side and floor by using the microphone array in order to analyze the effect of the noise flowing into the cabin from the outdoors. Finally, we presented the plan of the interior noise reduction based on the noise levels radiated from each of parts.

• 기술혁신학회지
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• 제19권1호
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• pp.29-47
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• 2016

정부는 각 부처와 기관들이 제출한 국가연구개발사업계획의 타당성을 사전에 검증하고 그 예산 반영 여부를 결정하기 위하여 예비타당성조사를 실시하고 있다. 그러나 사업에 따라 R&D투자에 대한 기여율이 상이함에도 편익추정에 있어서 전 산업의 평균 R&D기여율을 일괄적으로 원용하고 있는 실정이다. 이는 결국 경제적 타당성 분석의 결과를 왜곡시킬 가능성이 높다. 따라서 본 연구에서는 여러 업종들 중 정보통신기술을 대표로 R&D투자가 정보통신기술산업의 성장에 얼마나 기여하는지를 성장회계방법을 통하여 실증적으로 살펴보았으며, 그 결과를 바탕으로 기존 R&D기여율과 비교해봄으로써 사업별 R&D기여율의 차등적용 가능성을 타진해 보았다. 본 연구결과에서 정보통신기술의 R&D기여율은 48.2%인 것으로 나타났으며, 이는 기존 기여율과 큰 차이가 난다고 할 수 있다. 이러한 결과로 보건대, 사업별 특성을 감안한 차등적인 R&D기여율의 도입을 조심스럽게 고려해볼 필요가 있을 것이다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.75-81
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• 2006

Recently, customers interest about noise of household electric appliance is growing. so, designer of product must study to reduce noise of product. Specially, in case of household electric appliance such as washing machine, there was consumers' complaint about noise that is radiated under dehydrating condition. But, in the case of washing machine, identification of noise source is not easy when washing machine is under dehydrating condition. Because various noise source influence each other, it is difficult to find out pure contribution degree about output noise. Multi-Dimensional Spectral Analysis(MDSA) is method that can remove correlation between inputs each other and express pure contribution degree about output of single input. So in this study, we analyzed contribution of each noise source on transfer pass of noise that is radiated at dehydration of washing machine using MDSA.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 추계학술대회논문집
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• pp.155-158
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• 2005

Sub-frame is a key component to damp the vibration of engine-born and isolate the input force from a ground. To enhance the performance of the sub-frame of vehicle, its structure should be designed to be a high performing mechanical filter that exclude the low frequency vibration elements. In this paper, a contribution analysis based on the frequency response function(FRF) is introduced to detect a high sensitive position of the target sub-frame and its results are validated with a SDM(structural dynamic modification) analysis.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1122-1137
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• 2021

PM_2.5 concentration in Seoul could be predicted by deep neural network model. In this paper, the contribution of input factors to the model's prediction results is analyzed using the LRP(Layer-wise Relevance Propagation) technique. LRP analysis is performed by dividing the input data by time and PM concentration, respectively. As a result of the analysis by time, the contribution of the measurement factors is high in the forecast for the day, and those of the forecast factors are high in the forecast for the tomorrow and the day after tomorrow. In the case of the PM concentration analysis, the contribution of the weather factors is high in the low-concentration pattern, and that of the air quality factors is high in the high-concentration pattern. In addition, the date and the temperature factors contribute significantly regardless of time and concentration.