• Journal of Korean Society of Transportation
• /
• v.34 no.1
• /
• pp.43-54
• /
• 2016

Although there are continuous demands for activating BSSs(Bicycle Sharing Systems) due to the convenience and positive health effects, it is difficult to make a decision to support the existing systems and build more systems because of the deficit resulting from the operation of BSSs. Consequently, this study estimated the economic effects(WTP; Willingness to Pay) of BSS and analyzed the impact factors of WTP to support the above decision making in Daejeon. For this, we conducted a survey and collected 668 samples from the users and non-users of TASHU that is the BSS operated in Daejeon. Also, we used CVM(Contingent Valuation Method) for the estimation of WTP. The results show that the number of bicycle uses is a determinant factor having a positive relationship with WTP and car ownership and age are also determinant factors having a negative relationship with WTP. On the other hand, income and sex have no significant statistical relationship with WTP. Also, the economic benefit of TASHU was estimated as much as 49.9 billion KRW to 63.6 billion KRW. Considering the operation cost of 2.5 billion KRW, it is quite big benefit. Based on the results, it needs to support TASHU from a user perspective for the efficient operation of the system.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.135-144
• /
• 2019

The importance of logistics of warehouse stores has increased as their prices are cheaper and more convenient than those of large supermarkets. However, few studies on integrated depot location selection of warehouse stores have been conducted. In this regard, this study aims to derive factors for integrated depot location selection and calculate weights and select the location priority of target candidates by introducing an analytic hierarchy process (AHP). The analysis results exhibited that the most important selection factor was the cost reduction in transportation and delivery (0.198) followed by distance reduction in transportation and delivery (0.168), and time reduction in transportation. This study quantified the reduction in cost and increase in efficiency if depots were integrated and operated thereby presenting more realistic foundational data to hands-on workers. For the future study, the analysis model will be needed to be advanced through additional investigation on the factors in the analysis.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.61-69
• /
• 2020

This paper examined the operational efficiency of the new rice variety "Sindongjin" farmed by the Rural Development Administration. Thirty farmers were surveyed in the survey area--Jeonbuk-do Province. The operational efficiency was analyzed by studying the data of these 30 farmers. The operational efficiency of the farmers was analyzed through a survey using the DEA model for analysis. DEA analysis was performed to obtain the technical efficiency of the farmers. The results showed that the DEA technical efficiencies of 12 farmers were efficient, and 18 farmers were inefficient. Farmers No. 13 and No. 25 were representative of inefficiency, and the results show that the cost of input elements was high. An analysis of the determinants of efficiency through the Tobit model found that the operating efficiency increased with decreasing variable costs (Seed costs, By-product fertilizer costs, General fertilizer cost, Pesticides cost, Cost of water, electricity, gas, and Cost of small farm implements) and fixed costs (Repair cost and Other costs). There is a problem of excess input from farmers, and these input costs need to be reduced.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.6
• /
• pp.1423-1432
• /
• 2021

This study aimed to understand the relationship between nurses' rewards and job enthusiasm, using the data from the 5th Korean Working Conditions Survey(2017). The subjects of this study consist of 359 nurses randomly sampled nationwide(218 from youth group, 141 from midddle age group). The effects of intrinsic and extrinsic rewards on job enthusiasm was indentified through GLM analysis. The results reveal that, for the entire group, participation in decision making, sense of achievement, self esteem, career prospects, recognition at work, work-life balance influence job enthusiasm. For the youth group, participation in decision making, sense of achievement, self esteem, career prospects, and work-life balance are the influencing factors; while for the middle age group, sense of achievement, self-esteem, and recognition at work are the influencing factors. In conclusion, we suggest establishing a reward system that incorporates participation in decision making, sense of achievement, self esteem, career prospects, recognition at work, and work-life balance, in order to boost nurses' job enthusiasm. Also, taking age groups into account when establishing such system may improve efficiency.

• Journal of Korean Society of Transportation
• /
• v.27 no.6
• /
• pp.45-53
• /
• 2009

This study presumes the efficiency of each route by utilizing data of Seoul's exclusive bus routes for the 2008 and the DEA model. In the estimation, it is assumed that the number of passengers and profits of each route is calculated by considering the number of buses and stops, travel distance, intervals and management cost. This study computed the efficiency scores of each bus line in Seoul based on the data for the first half of 2008 and one of the DEA models, namely the BCC model. After analysis using the input-oriented BCC model, out of a total of 18 lines of interest, there were 2 CRS lines and 16 IRS lines. Also, the Tobit Regression Analysis that helps identify the impact of the elements used in the analysis on efficiency scores proved that the most influential element to exclusive buses is the length of intervals.

• The Microorganisms and Industry
• /
• v.17 no.2
• /
• pp.28-30
• /
• 1991

APM의 화학적, 효소적 합성방법의 선택은 각기의 장단점을 비교 검토한 후 결정해야 할 문제로서, 수율, 공정의 효율성, 작업환경, 경제성 등의 여러 요인이 영향을 줄 수 있으나, 최근의 연구동향 및 산업적 생산의 추이는 효소를 이용한 bioconversion process에 의한 방식으로 나아가는 듯 하다. 결론적으로 bioconversion process에 의한 APM의 생산은 반응매질로써 유기용매의 사용이 불가피하므로 효소의 안정성을 증가시켜 장기간 사용할 수 있는 신기술의 개발이 필요하며 기존의 고정화 기술은 그 좋은 예가 될 수 있다. 또한 보호기의 도입과 제거과정이 보다 용이해야하며 더 나아가서 보호기의 부착없이도 반응을 가능케하는, 기질에 대한 특이성이 높은 새로운 효소(예를 들어 exopeptidase를 사용하면 기질에 보호기를 붙일 필요가 없으므로 화학적 방법에 비해 훨씬 유리하다)의 screening이 절실하다. 아울러 유기용매로 인한 효소의 deactivation mechanism의 규명과 반응기 운전 system의 개발이 요구된다 하겠다.

• Convergence Security Journal
• /
• v.11 no.6
• /
• pp.73-80
• /
• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software and tools for effective learning effects perspective has been studied using the NHPP software. The delayed software S-shaped reliability model applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$(coefficient of determination).

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.10
• /
• pp.4543-4549
• /
• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The Burr distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$.

• Convergence Security Journal
• /
• v.13 no.1
• /
• pp.71-78
• /
• 2013

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The doubly bounded power law distribution model makeup Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$.

• Convergence Security Journal
• /
• v.11 no.1
• /
• pp.25-32
• /
• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R_{sq}$.