• Research in Community and Public Health Nursing
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• v.22 no.4
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• pp.438-450
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• 2011

Purpose: This study was to investigate the effect of home visiting care service and to evaluate the effect from the cost-benefit perspective. Methods: Target participants were enrolled in 2007~2008 for home visiting care and provided with a home visiting nursing service for more than 18 months in J Ward of S City. Of 391 participants, 244 who satisfied the inclusion criteria were used in the final analysis. Cost-benefit analysis was done using the net benefit and benefit/cost ratio. Results: After providing the home care nursing service, the blood pressure control rate increased from 50.8% to 75.4%. Of the subjects, 39.8% maintained their blood pressure level within the target range. As a whole, the net benefit of home visiting care per person ranged from 434,964.86 to 447,112.43 won and the benefit/cost ratio ranged from 2.82 to 2.84. Conclusion: Home visiting care for vulnerable populations with hypertension was effective in both maintaining blood pressure and reducing blood pressure to the target range. Therefore these results are especially useful for establishing the value of home visiting services for policy makers as well as for prioritizing vulnerable populations.

• 한국전산유체공학회:학술대회논문집
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• 2008.03b
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• pp.381-384
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• 2008

This paper presents an operational technique to maximize profit of a cogeneration power plant. To minimize errors in a loss and gain analysis of a cogeneration power plant, the energy sale profit in the cost-based-pool electric power trade market, the heat sale profit, and the supplementary fund profit for electric power industry are taken into consideration. The objective is to optimize the heat-electric power ratio to maximize profit of a cogeneration power plant. Furthermore, the constrained bidding technique to optimize heat-electric power ratiocan be obtained. Profits from of a cogeneration power plant are composed of three categories, such as the energy sale profit in the cost-based-pool electric power trade market, the heat sale profit, and the supplementary fund profit for electric power industry. Profits of a cogeneration power plant are varied enormously by the operation modes. The profits are mainly determined by the amount of constrained heat generation in each trading time. And the three profit categories arecoupled tightly via the heat-electric power ratio. The result of this case study can be used as a reference to a cogeneration power plant under the power trading system considered in this case.

• Structural Engineering and Mechanics
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• v.83 no.5
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• pp.671-680
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• 2022

The shear capacity of beams is an essential parameter in designing beams carrying shear loads. Precise estimation of the ultimate shear capacity typically requires comprehensive calculation methods. For steel fiber reinforced concrete (SFRC) beams, traditional design methods may not accurately predict the interaction between different parameters affecting ultimate shear capacity. In this study, artificial neural network (ANN) modeling was utilized to predict the ultimate shear capacity of SFRC beams using ten input parameters. The results demonstrated that the ANN with 30 neurons had the best performance based on the values of root mean square error (RMSE) and coefficient of determination (R²) compared to other ANN models with different neurons. Analysis of the ANN model has shown that the clear shear span to depth ratio significantly affects the predicted ultimate shear capacity, followed by the reinforcement steel tensile strength and steel fiber tensile strength. Moreover, a Genetic Algorithm (GA) was used to optimize the ANN model's input parameters, resulting in the least cost for the SFRC beams. Results have shown that SFRC beams' cost increased with the clear span to depth ratio. Increasing the clear span to depth ratio has increased the depth, height, steel, and fiber ratio needed to support the SFRC beams against shear failures. This study approach is considered among the earliest in the field of SFRC.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.10
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• pp.225-234
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• 2019

The purpose of this paper is to analyze the additional construction cost of G-SEED certification for domestic office building reflecting the latest standard(G-SEED 2016-2), and to derive cost impact by category and level. Therefore, it is intended to provide quantitave cost data according to G-SEED certification at the planning phase of the project, estimate the additional construction cost per level according to G-SEED Certification of similar project to be carried out in the future, and encourage G-SEED certification by supporting the decision of the owners. Method: The Process and method of this study are summarized in five steps, 1) Review of previous research, 2) Selection of target project, 3) Scenario setting by level, 4) Additional construction cost for each evaluation category, 5) Extraction of additional construction cost ratio by level. Result: This paper analyzed the cost impact by deriving the additional construction cost of detailed category for level improvement according to the revised G-SEED certification(G-SEED 2016-2). In conclusion, an additional construction cost(ratio) of G-SEED projects to the reference building is drawn as good level; 157,426,241 KWN(+0.43%), very good level; 321,907,802 KWN(+0.88%), excellent level; 999,371,478 KWN(+2.74%), and outstanding level; 1,467,047,718 KWN(+4.02%).

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.315-324
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• 2022

The goal of this study is to understand better the relationship between hospital bed occupancy rate and cost rigidity as a proxy for the degree of hospital bed congestion, as well as the relationship between the risk of changes in hospital bed occupancy rate and congestion cost, targeting public hospitals. As public hospitals for analysis, we selected hospital projects from the Public Enterprises Survey Reports published by the Department of Public Enterprises, Ministry of Finance, and obtained unbalanced panel data consisting of 1,505 hospitals and 15 years, totaling 12,595 hospitals and years. The analysis revealed that the risk of changes in the bed occupancy rate increases the degree of cost rigidity and leads to a decrease in the variable cost ratio; furthermore, an increase in the bed occupancy rate decreases the degree of cost rigidity and leads to an increase in the variable cost ratio. These findings suggest that although public hospitals are taking managerial actions to avoid congestion costs, congestion costs resulting from higher bed occupancy rates have not been eliminated. The regression analysis results show that even if congestion costs arise as the occupancy rate increases, they are covered by the increase in revenue associated with the increase in the occupancy rate.

• Journal of the Korea Institute of Building Construction
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• v.4 no.4
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• pp.117-126
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• 2004

Construction industry is faced with the problems such as the quickly changeable circumstance and increasing construction companies due to regulation mollification of company registration. In order to overcome these problems, new estimation system based on historical estimation cost is ready to introduce by government step by step. But the time of transition for estimation system causes another problems such as chaos addition to simultaneity of a standard of estimation system and new estimation system, lack of related regulation, accumulation of historical extensive cost data, and adjustment methodology when historical estimation data is applied to next projects. The purpose of this study is to suggest the change factors by activities for estimating historical cost for apartment housing projects. New estimation system is based on historical construction data. For application of this system, the standard adjustment methodology system is necessary. and extensive cost data should be accumulated under an unified construction work classification system. Therefore in this study, according to the construction work classification system, every apartment housing project was classified to 16 work classifications, and 7 major composed items which occupy more than 85% of construction costs are analyzed by detailed activities and by average ratio and maximum ratio each of them. In the result of the study, furniture work, foundation work and masonry work are the works which have big gap of costs between average ration and maximum ratio. In addition to suggestion of change factor by work species, 5 qualified construction specialists are interviewed and change factors in 7 major works are analyzed.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.1 s.31
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• pp.27-35
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• 2005

It is impossible to call in the cost of map-production from the supply cost because the map produced in NGI is the public property. The aims of this research are to calculate a map manufacture cost and to assess the reasonable map prices with considering public property of map. For these aims, We have calculated the cost according to the scale and the form of paper and digital map, have determined the map supply cost, and have analyzed the situation of map supply and the map circulation market. We propose two alternatives. Firstly, supply price of map is reached the goal price after 6-years(raising ratio 30%) and Secondly, supply price of map is reached the goal price after 3-years(raising ratio 50%) because map supply price raising ratio is very much if research results are reflected after 1-year.

• The Research Journal of the Costume Culture
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• v.25 no.3
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• pp.359-374
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• 2017

The objective of this study was to compare business management indicators among textiles and fashion companies. Business management indicators of 356 textiles and fashion companies for the year 2015 were analyzed, using income statements showing their management results. The results were as follows. First, there were statistically significant differences between the operating income ratios of textiles and fashion companies for the term, but there were none when it came to net income ratio. Second, the differences between cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios among textiles and fashion companies were all statistically significant. The cost of goods sold, cost of finished goods sold, and cost of merchandise sold to sales ratios were higher for fiber and thread companies, fabric companies, and dyeing and finishing companies than for clothing and fashion accessories companies. Third, there were statistically significant differences between the ratio of salaries and the ratio of advertising expenses among textiles and fashion companies. The salaries ratios and advertising expenses ratios for clothing companies were higher than those of fiber and yarn companies, fabric companies, and dyeing and finishing companies. This study is meaningful as it has identified the business characteristics of textiles and fashion companies using the management indicators of those companies, which have not been sufficiently explored by previous studies. It has also helped to improve understanding of the industrial structure of the upstream and midstream sectors of the textiles and fashion industries.

• Current Research on Agriculture and Life Sciences
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• v.32 no.4
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• pp.231-235
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• 2014

This study performed a benefit cost analysis of an automatic eggshell crack detection system. Based on various cost benefit analysis methods, including the net present value (NPV), internal rate of return (IRR), and benefit cost ratio (B/C Ratio), the automatic eggshell crack detection system was confirmed to have economic validity. The NPVs were 175,035,645 won at a 5% discount rate and 129,082,393 won at a 10% discount rate. Plus, the IRRs were 0.686 at a 5% discount rate and 0.660 at a 10% discount rate. Finally, the B/C ratios were 1.981 at a 5% discount rate and 1.900 at a 10% discount rate.

• Korean Journal of Social Welfare
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• v.60 no.4
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• pp.31-53
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• 2008

This study intends to verify the poverty characteristics of the rural elderly households so as to provide more specific data for the intervention of social welfare in the improvement of quality of life of the rural elderly. According to my study of the absolute poverty ratio, the poverty gap, the relative poverty ratio, the subjective poverty ratio, the subjective economic level and the life satisfaction level of the rural elderly households in comparison with those of the other groups, the conclusion is as follows: First, the total living cost of the rural elderly households is rather low with the food cost taking about 30% of the total living cost. Second, in terms of the poverty ratio based on socio-demographic characteristics, higher poverty ratio show among women, older people and households of fewer members. Third, 82.2% of the rural elderly households living with an income below the minimum living cost is found around the poverty line. Fourth, the rural elderly households show a comparatively higher poverty ratio than the other groups in the absolute and relative poverty, but lower economic strain than other groups in the subjective poverty ratio and life satisfaction level. In short, the rural elderly households' poverty level is generally high and therefore need ways of active economic supports, while a political approach to the subjective needs of the regional and intergenerational groups is also required.