• Korean Journal of Agricultural Science
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• v.31 no.2
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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.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.06a
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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.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.169-187
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• 2010

The purposes of this study are to find factors that have influences on the knowledge contribution activities, and to offer some suggestions to improve the knowledge contribution. Especially this study suggests to improve knowledge contribution by analyzing both on-line and off-line knowledge contribution activities in the public sector. The results of data analysis by structured equation model(SEM) indicate that leadership, intrinsic motivation, and knowledge quality significantly influence on-line and off-line knowledge contribution. Based on the results, the potential implications for the strategy of effective knowledge contribution are discussed.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2013.04a
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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.

• Journal of KSNVE
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• v.9 no.5
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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.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.771-782
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• 2021

Social entrepreneurship plays a key role in organizational performance, and social contribution activities are related to organizational members' perception of social enterprise value and performance sharing. The purpose of this study is to verify the mediating effect of social contribution activities in the relationship between social entrepreneurship and organizational performance. For the study, a questionnaire survey was conducted on members of social enterprises, and data of 186 valid copies were used for statistical analysis. Statistical analysis used reliability of measurement variables, confirmatory factor analysis, correlation analysis, and mediating effect analysis. The results of the study are as follows. First, there was a significant correlation between social entrepreneurship, social contribution activities, and organizational performance. Second, social entrepreneurship has a significant correlation with organizational performance. Social purpose and initiative, sub-factors of social entrepreneurship, had a significant influence on organizational commitment. Third, social contribution activities showed a significant relationship with organizational performance. Fourth, in the relationship between social entrepreneurship and organizational performance, social contribution activities showed a partial mediating effect. This suggests that social contribution activities play an important role in improving the performance of social enterprises.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.29-47
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• 2016

The government has been implementing the preliminary feasibility study to examine previously a plan of the national R&D program submitted by each government ministry or institution and decide whether to reflect its budget. However, although R&D investments obviously have a different contribution depending on the different types of project, the current system applies the average R&D contribution rate to whole industry across the board in order to estimate benefits of the creating value from the R&D activity. This system in turn will cause a distorted result in the economic feasibility analysis. Therefore, this paper conducts an empirical analysis on the ICT R&D contribution for the creating value added, on behalf of all industries, through the growth accounting method and explores an applicability of the differential R&D contribution rate as an alternative by comparing to the existing R&D contribution rate. The result of this paper shows the ICT R&D contribution rate is 48.2%, and we can find out there is a significant difference compared to the existing R&D contribution rate. In light of this, it is necessary to adopt carefully the differentiated R&D contribution rate considering project characteristics.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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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.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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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.

• Journal of Korea Multimedia Society
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• v.24 no.8
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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.