• Title/Summary/Keyword: Costs analysis

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The Clinical and Cost Effectiveness of Medical Nutrition Therapy for Patients with Type 2 Diabetes Mellitus (제2형 당뇨병환자에서 임상영앙치료의 임상적 효과와 비용효과 연구)

  • Cho, Youn-Yun;Lee, Moon-Kyu;Jang, Hak-Chul;Rha, Mi-Yong;Kim, Ji-Young;Park, Young-Mi;Sohn, Cheong-Min
    • Journal of Nutrition and Health
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    • v.41 no.2
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    • pp.147-155
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    • 2008
  • Medical nutrition therapy (MNT) is considered a keystone of medical treatment of chronic diseases. However, only few studies have evaluated medical and economical outcome of MNT. The study was performed on the patient with type 2 diabetes mellitus to evaluate the effect of clinical and cost-effective outcomes of MNT. Subjects from two general hospitals were randomly assigned to two different groups; One receiving basic nutritional education (BE) (n = 35), and the other receiving intensive nutritional education (IE) (n = 32) for a 6-month clinical trial. The group which received BE had a single visit with a dietitian, while the other group which received IE had an initial visit with a dietitian addition to two visits during the first 4 weeks of the study periods. Anthropometric parameters, blood components, and dietary intake were measures at the beginning of study period and after 6 month. Cost-effective analysis included direct labor costs, educational materials and medication cost difference during 6 months. After 6 month, subjects from IE group showed significant reduction of body weight (p <0.05) and systolic blood pressure (p <0.05), whereas BE group did not show any significant changes. Result from biochemical indices showed glycated hemoglobin concentration was significantly reduced by 0.7% (p <0.05) only in the IE group. The ratio of energy intake to prescribed energy intake decreased significantly in both groups (p <0.05). Mean time taken for a dietitian to educate the subject was 67.9 ${\pm}$ 9.3 min/person for BE group, while 96.4 ${\pm}$ 12.2 min/person for IE group. Mean number of educational materials was 1.9 ${\pm}$ 0.7/person for BE group and 2.5 ${\pm}$ 0.7/person for IE group. Change in glycated hemoglobin level along the 6 month period of study can be achieved with an investment of \88,510/% by implementing BE and \53,691/% by implementing IE. Considering the net cost-effect of blood glucose control and HbA Ic, IE which provides MNT by dietitian had a cost efficiency advantage than that of BE. According to this study, MNT provided by dietitian had a significant improvements in medical and clinical outcomes compared to that of BE intervention. Therefore, MNT protocol should be performed by systemic intensive nutrition care by dietitian in clinical setting to achieve good therapeutic results of DM with lower cost.

A Study on the Analysis of Difference between IT and Non-IT Companies on the Consumer Dispute Resolution System's Continuous Use Intention -Focusing on Korean Small and Medium Enterprises (소비자 분쟁처리시스템 지속사용의도에 대하여 IT기업과 비IT기업 간의 차이분석에 관한 연구 -한국 중소기업을 중심으로)

  • Jung, Soo-Yong;Shin, Yong-tae;Han, Jeong-Hoon;Lee, Sung-Hoon
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.203-212
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    • 2017
  • This research analyzed the factors that have the influences on the intentions to use the consumer dispute settlement system for the small- and medium-sized corporations. The consumer dispute settlement system is a general Internet information portal service which enables the small- and medium-sized corporations and the small businesses receive the support for the accurate damage handling method and the legal service through the Internet in their disputes with the black consumers or the consumers. With the small- and medium-sized corporation users who use the consumer dispute settlement system as the subjects, the research took a lot at what influences the consumer dispute settlement system has on the quality of the information, the quality of the system, the ease-of-use regarding which the environmental factors are perceived, and the ease that was perceived and, finally, what influences it has on the intention of the use. The accuracy, the convenience, and the costs of the consumer dispute settlement system had the positive influences on the ease-of-use that was perceived and the accuracy and the convenience, also had the positive influences on the usefulness that was perceived. Also, it was verified that the ease-of-use of the consumer dispute settlement system that was perceived and the usefulness of use of the consumer dispute settlement system that was perceived finally had the positive influence relationships with the intention of the use. It is highly expected that if, based on the results of this research, the quality of the consumer dispute settlement system is maintained and supplemented to fit the priority order, there will be the maintenance of, and the development toward, a system that is even more improved than the previously existent system.

Analysis of Sawmill Productivity and Optimum Combination of Production Factors (제재생산성(製材生産性)과 적정생산요소투입량(適正生産要素投入量) 계측(計測))

  • Cho, Woong Hyuk
    • Journal of Korean Society of Forest Science
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    • v.32 no.1
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    • pp.29-35
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    • 1976
  • In order to estimate sawmill productivities, rates of technical change and optimum combination of production factors, Cobb-Douglas production functions have been derived using data obtained from 96 sample mills in Busan-Incheon, southwestern and northeastern areas. The results may be summarized as follows: 1. There is a tendency of expanding average sawmill size in the areas. The horse-power holdings per mill have been increased at the rates of 91 percent in Busan-Incheon, 7.7 percent in southwestern and 16.9 percent in northeastern areas. This implies that the mills around log-importing ports have made rapid development, compared with those in forest regions. 2. The regression coefficients (production elasticities) of the functions for the year of 1967 in the above three areas are much similar each other, but significant differencies are found in the production functions of 1975. In other words, sawmill productivity was mainly restricted by capital deficiencies in all areas in 1967, but this situation was succeeded only by N-E area in 1975. The range of sum of regression coefficients is 1.0437-1.4214, this indicates increasing rates of return to scale. 3. The annual rates of technical changes in B-I, S-W and N-E areas for the observed period are 17.6, 7.6 and 2.2 percents respectively. Busan-Incheon is the only area where labor productivity is higher than that of capital. 4. The best combination of production factors for maximizing firm's profit is subject to the changes of input and output prices. With some assumptions of prices and costs, the optimum levels of power and labor input in B-I, S-W and N-E areas are 57:17, 427:94 and 192:27.

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An Analysis of Imports by Domestic Producers of Competing Goods (메이커에 의한 수입(輸入)의 문제점(問題點)과 대응방안(對應方案))

  • Nam, Il-chong
    • KDI Journal of Economic Policy
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    • v.14 no.2
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    • pp.55-75
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    • 1992
  • At the outset of import liberalization, most economists expected a significant drop in the prices of domestic goods that faced foreign competition. However, it is now generally acknowledge that a significant drop in prices of those goods has not occurred. A common claim is that the prices did not drop significantly because the major importers of many imported goods were also the domestic producers of competing goods. The objective of this paper is to analyze the welfare effect of importation by domestic firms that produce competing goods, to identify the factors that facilitate such business practices, and to formulate a policy that could improve the welfare. We proved that importation by competing domestic firms definitely raises the prices of both imported and domestic goods compared to the situation where foreign goods are imported by non-producers, ceteris paribus. The intuition behind this result is that since a producer-importer is essentially a cartel, its overall profit maximization requires reduced competition between the products that it sells. On the other hand, if a producer-importer is more efficient at distrinbution than a simple importer, the comparison between the two cases is a priori indeterminate. We also find that the industries in which domestic producers are actively involved in importing competing goods are the ones in which the distribution channels are tightly controlled by importer-producers. This finding suggests that exclusive dealing contracts, which work as an entry barrier, may be the source of importing by domestic producers. We argue that in a country such as Korea, where financial market is highly incomplete, tight control of the distribution channels by oligopolistic manufacturers is likely to be an effective entry barrier that leads to importing by domestic producers of similar goods. We further argue that seemingly superior distribution costs of importer-producers is likely to be a result of market foreclosure which would disappear once the entry barrier of exclusive dealing contracts is removed. Above findings suggest that market imperfections are the source of importation by domestic competitors, which in turn constitutes a market imperfection in itself and reduces consumer welfare. As potential remedies, we considered three alternatives; direct price control by the government over the imported goods sold by major domestic producers, regulation of trade itself between major producers, and regulation of exclusive dealing contracts. For reasons both theoretical and pratical, we find that the last alternative is the most attrative. Prohibiting exclusive contracts between manufacturers and dealers in industries where exclusive dealing contracts are a significant entry barrier is expected to break up the importer-producer cartel and improve the welfare.

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A Study on Analysis of Investment Effects of Farm Mechanization, Korea -Mainly on the Case Study of Saemaeul Farm Mechanization Groups in Nonsan Area, Chungnam Province- (농업기계화(農業機械化)의 투자효과분석(投資效果分析)에 관(關)한 연구(硏究) -충남논산지역(忠南論山地域) 새마을 기계화영농단(機械化營農團)을 중심(中心)으로-)

  • Lim, Jae Hwan;Han, Gwan Soon
    • Korean Journal of Agricultural Science
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    • v.14 no.1
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    • pp.164-185
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    • 1987
  • The Korean economy has been developed rapidly in the course of implementing the five year economic development plans since 1962. Accordingly the industrial and employment structure have been changed from the traditional agriculture to modem industrial economy. In the course of implementing export oriented industrialization policies, rural farm economy has been encountered labour shortage owing to rural farm population drain to urban areas, rural wage hike and pressure on farm operation costs, and possibility of farm productivity decrease. To cope with the above problems the Korean government has supplied farm machinery such as power tillers, tractors, transplanters, binders, combines, dryers and etc. by means of the favorable credit support and subsidies. The main objectives of this study are to identify the investment effects of farm mechanization such as B/C and Internal Rate of Return by machinery and operation patterns, changes of labour requirement per 10a for rice culture since 1965, partial farm budget of rice with and without mechanization, and estimation labour input with full mechanization. To achieve the objectives Saemaeul farm mechanization groups, common ownership and operation, and farms with private ownership and operation were surveyed mainly in Nonsan granary area, Chungnam province. The results of this study are as follows 1. The national average of labor input per 10a of paddy has decreased from 150.1Hr in 1965 to 87.2Hr in 1985 which showes 42% decrease of labour inputs. On the other hand the hours of labour input in Nonsan area have also decreased from 150.1Hr to 92.8Hr, 38% of that in 1965, during the same periods. 2. The possible labor saving hours per 10a of Paddy was estimated at 60 hours by substituting machine power for labor forces in the works of plowing, puddling, transplanting, harvesting and threshing, transporting and drying The labor savings were derived from 92.8 hours in 1986 deducting 30 hours of labor input with full mechanization in Nonsan area. 3. Social benefits of farm mechanization were estimated at 124,734won/10a including increment of rice (10%): 34,064won,labour saving: 65,800won,savings of conventional farm implements: 18,000 won and savings of animal power: 6,870won. 4. Rental charges by works prevailing in the area were 12,000won for land preparation, 15,000won for transplanting with seedlings, 19,500won for combine works and 6,000won for drying paddy. 5. Farm income per 10a of paddy with and without mechanization were amounted to 247,278won and 224,768won respectively. 6. Social rate of return of the machinery were estimated at more than 50% in all operation patterns. On the other hand internal rate of return of the machinery except tractors were also more than 50% but IRR of tractors by operation patterns were equivalent to 0 to 9%. From the view point of farmers financial status, private owner-operation of tractors is considered uneconomical. Tractor operation by Saemaeul mechanization groups would be economical considering the government subsidy, 40% of tractor price. 7. Farmers recommendations for the government that gained through field operation of farm machinery are to train maintenance technology for rural youth, to standardize the necessary parts of machinery, to implement price tag system, to intercede spare parts and provide marketing information to farmers by rural institutions as RDA,NACF,GUN office and FLIA.

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Predictive Clustering-based Collaborative Filtering Technique for Performance-Stability of Recommendation System (추천 시스템의 성능 안정성을 위한 예측적 군집화 기반 협업 필터링 기법)

  • Lee, O-Joun;You, Eun-Soon
    • Journal of Intelligence and Information Systems
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    • v.21 no.1
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    • pp.119-142
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    • 2015
  • With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.

An Analysis of the Behavior and the Preference of Roof Spaces Depending on Building Types - A Focus on the Case of Seoul, Korea - (건물용도별 옥상공간의 이용행태 및 선호도 분석 - 서울특별시의 사례를 중심으로 -)

  • Kim, Eun-Jin;Jung, Tae-Yeol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.6
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    • pp.10-20
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    • 2014
  • Today, most roof spaces are being designed as places for resting. The use of the roof spaces needs to be raised otherwise, budgeting or costs involved can be wasteful. A well-made plan is needed to increase the use of the roof spaces. The behavior of and preference for roof spaces could differ depending on building usage because the users of these roof spaces can be different. Therefore, this study selected 4 building types depending on usage: public buildings, educational and research buildings, medical buildings, and commercial buildings. Two buildings that created roof spaces per building type were selected. A survey was undertaken of the user experience of roof spaces on the buildings. The behavior and preference of roof spaces depending on building types were analyzed and the results are as follows. The behavior of using roof spaces regarding purpose, motivation, frequency, and average length of stay were different depending on the building types. In terms of purpose, over all four building types, taking a rest was the primary reason for using roof spaces. However, talking and smoking in public buildings, smoking, taking a walk or stretching, and viewing the exterior landscape in educational and research buildings, taking a walk or stretching and talking in medical buildings, taking care of children and talking in commercial buildings were also important reasons for using roof spaces. The preference of roof space components such as plants, paving materials, and facilities were different depending on the building types. In terms of plants, the users of public buildings preferred herbaceous plants and vegetables/aquatic plants more than the users of other building types. The users of medical buildings preferred vegetables/aquatic plants, and the users of commercial buildings preferred arbores, herbaceous plants, and vegetables/aquatic plants more than the users of other building types. This study provides empirical data for the behavior and the preference of roof spaces depending on building types. These findings could provide new insights into how to increase the use of roof spaces.

Biogas Production from Agricultural Wastes and Residues in Tropical Region (열대지역(熱帶地域)에서 농산폐유기물(農産廢有機物)을 원료(原料)로한 멘탄가스발생(發生))

  • Joo, Yeong-Hee;Jeon, Yong-Woon;Calilung, Edwin J.;Elepano, Arnold R.
    • Korean Journal of Soil Science and Fertilizer
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    • v.18 no.4
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    • pp.325-335
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    • 1985
  • Biogas production from agricultural wastes were summarized as follows: 1. Biogas Generation Characteristics of Various Manures and Residues a. Gas yield from crop residues like rice straw, rice hull, corn stalk and coconut husk can be improved by addition of animal manures. b. Gas yield from coconut husk can be improved through aerobic fermentation for at least one week before loading in the digester. c. Gas yield from fresh rice straw is better than from pre-fermented one, whether alone or in combination with animal manures. d. Initial study has shown that fresh azolla can be substituted for animal manures in manurerice straw combinations and gas yield derived based on unit volatile solids loaded is actually better than for manure-residue combinations. e. Gas production is highly sensitive to substrate pH and becomes almost nil at a pH of below 6. 2. Effect of ambient conditions and other factors on biogas production in a house hold-size digester. a. Results showed that compaction of rice straw in straw-manure combination can reduce gas yield compared with loosely mixed straw. b. The effective gas production period extended to 70 days using freshly threshed rice straw and fresh cattle manure as feed material. c. Underground and above ground digesters with shade have relatively more stable substrate temperature than aboveground exposed digesters. This relative temperature instability may likely be the reason for lower gas yield for the exposed aboveground digester loaded with loose straw-cattle manure substrate, compared with the underground digester with the same substrate. 3. Economic Analysis a. Based on prevailing costs of fuel, materials, and labor in the Philippines, biogas produced from the household size system is cheaper than either LPG or kerosene. b. If other benefits like organic fertilizer, pollution control and convenience are considered, biogas will surely be the best alternative fuel source.

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A Study on the Possibility of Recycling Coir Organic Substrates for using Strawberry Hydroponics Media (토마토 폐배지를 딸기 수경재배 배지로 재이용 가능성 연구)

  • Lee, Gyu-Bin;Park, Young-Hoon;Choi, Young-Whan;Son, Beung-Gu;Kim, Jooh-Yup;Kang, Nam-Jun;Kang, Jum-Soon
    • Journal of Korea Society of Waste Management
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    • v.34 no.2
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    • pp.205-213
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    • 2017
  • The current study was performed to investigate the effect of recycling coir substrates on the growth, fruit yield, and quality of strawberry plants. Analysis of physical properties revealed that the pH of a fresh coir substrate was 5.04 while those of substrates reused for one and two years were 5.20 and 5.33, respectively. The electrical conductivity (EC) of a new substrate was as high as $4.58dS{\cdot}m^{-1}$. This can cause salt stress after transplanting. The EC tended to decrease as the substrate was recycled, and the EC of a two-year recycled substrate was $1.48dS{\cdot}m^{-1}$. The fresh substrate had lower nitrogen and calcium concentrations, but higher phosphate, potassium, and sodium concentrations than the recycled coir substrate. The coir substrates recycled for one or two years maintained better chemical properties for plant growth than the fresh substrate. Strawberry growth varied depending on the number of years that the coir substrate was recycled. In general, strawberries grown in substrates that had been reused for two years did better than those grown in substrates that had been reused once or were fresh. Ninety days after transplanting, a plant grown in a substrate that had been reused for two years contained 25 leaves, which was 3.6 more than with a fresh substrate. In addition, the plants grown in a substrate that had been reused for two years exhibited larger leaf areas than those grown in other substrates. Coir substrates that had been reused for one year increased the number and area of leaves, but not as much as the substrate that had been reused for two years. One- and two-year reused coir substrates increased the weight of strawberries produced relative to the unused substrate, but the difference was not statistically significant. The plants grown in two-year reused substrates were longer and wider, as well. Also, the number of fruits per plant was higher when substrates were reused. Specifically, the number of fruits per plant was 28.7 with a two-year reused substrate, but only 22.2 with a fresh substrate. The fruit color indices (as represented by their Hunter L, a, b values) were not considerably affected by recycling of the coir substrate. The Hunter L value, which indicates the brightness of the fruit, did not change significantly when the substrate was recycled. Neither Hunter a (red) nor b (yellow) values were changed by recycling. In addition, there were no significant changes in the hardnesses, acidities, or soluble solid-acid ratios of fruits grown in recycled substrates. Thus, it is thought that recycling the coir substrate does not affect measures of fruit quality such as color, hardness, and sugar content. Overall, reuse of coir substrates from hydroponic culture as high-bed strawberry growth substrates would solve the problems of new substrate costs and the disposal of substrates that had been used once.

Regeneration of a defective Railroad Surface for defect detection with Deep Convolution Neural Networks (Deep Convolution Neural Networks 이용하여 결함 검출을 위한 결함이 있는 철도선로표면 디지털영상 재 생성)

  • Kim, Hyeonho;Han, Seokmin
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.23-31
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    • 2020
  • This study was carried out to generate various images of railroad surfaces with random defects as training data to be better at the detection of defects. Defects on the surface of railroads are caused by various factors such as friction between track binding devices and adjacent tracks and can cause accidents such as broken rails, so railroad maintenance for defects is necessary. Therefore, various researches on defect detection and inspection using image processing or machine learning on railway surface images have been conducted to automate railroad inspection and to reduce railroad maintenance costs. In general, the performance of the image processing analysis method and machine learning technology is affected by the quantity and quality of data. For this reason, some researches require specific devices or vehicles to acquire images of the track surface at regular intervals to obtain a database of various railway surface images. On the contrary, in this study, in order to reduce and improve the operating cost of image acquisition, we constructed the 'Defective Railroad Surface Regeneration Model' by applying the methods presented in the related studies of the Generative Adversarial Network (GAN). Thus, we aimed to detect defects on railroad surface even without a dedicated database. This constructed model is designed to learn to generate the railroad surface combining the different railroad surface textures and the original surface, considering the ground truth of the railroad defects. The generated images of the railroad surface were used as training data in defect detection network, which is based on Fully Convolutional Network (FCN). To validate its performance, we clustered and divided the railroad data into three subsets, one subset as original railroad texture images and the remaining two subsets as another railroad surface texture images. In the first experiment, we used only original texture images for training sets in the defect detection model. And in the second experiment, we trained the generated images that were generated by combining the original images with a few railroad textures of the other images. Each defect detection model was evaluated in terms of 'intersection of union(IoU)' and F1-score measures with ground truths. As a result, the scores increased by about 10~15% when the generated images were used, compared to the case that only the original images were used. This proves that it is possible to detect defects by using the existing data and a few different texture images, even for the railroad surface images in which dedicated training database is not constructed.