Purpose: In vitro uses dose response curve with 6 to 7 standard concentrations in every examination to analyze examination results and this use of dose response curve comprises a large portion of the consumption of medicine material. At this present, some ones of in-hospital examination items have shown mostly low result of distribution in the analyzed features and these examinations have been judged that it would be unnecessary to use the last standard concentration. Hence, this study selects those examination items showing low result of distribution and reviews the cases contributed to less consumption of medicine material and revenue growth of hospital by reduction of medicine material used in the place of the last standard concentration. Materials and Methods: The study was made targeting 11 examination items out of total 43 items of the in-hospital examination and since these examination items were mostly low in the features as the examination results of patients or the examination results were distributed to show lower concentration than the previous last standard concentration, it carried out the examination without using the last standard concentration, which could generate the effect to reduce medicine material (examination tube) used in the last standard concentration as many as the number of examination carried out. For this, it examined the number of medicine material reduction by month during the period from July, 2009 to February, 2011 and estimated the reduction amount of medicine material calculated the number of reduction by the unit cost of medicine material as well as the profit generated by the reduced medicine material to use for the medicine material of patient examination. Results: The total number of medicine material reduced during the period from July, 2009 to February, 2011 was 3,131 pieces, which had the effect to reduce the medicine material equivalent to about 31 kits of reagent. To calculate this by the unit cost of the medicine material, it analyzed to reduce about 6.4 million won of medicine material cost. Also the reduced medicine materials were used for medicine materials of patient examination and this was analyzed to generate about 13.75 million won of profit based on the ABC cost accounting. Conclusion: It showed no problem in the analysis of examination result even without using the last standard concentration regarding those examination items with low distribution of the patient examination result. For these examination items, it was able to reduce medicine material used for the last standard as many as the number of examination carried out. Also, the adjustment of concentration range was found to have no problem in the reliability of examination result. Therefore, this case will be applicable in those occasions of when the analysis of patient examination result is mostly distributed at the lower level or when an examination with the distribution of patient results in the range of lower concentration than the previous last standard concentration is carried out and this is considered to increase the efficiency in the use of medicine material in vitro as well as contribute to the profit of hospitals.
In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.
Machine learning is a field of artificial intelligence. It refers to an area of computer science related to providing machines the ability to perform their own data analysis, decision making and forecasting. For example, one of the representative machine learning models is artificial neural network, which is a statistical learning algorithm inspired by the neural network structure of biology. In addition, there are other machine learning models such as decision tree model, naive bayes model and SVM(support vector machine) model. Among the machine learning models, we use SVM model in this study because it is mainly used for classification and regression analysis that fits well to our study. The core principle of SVM is to find a reasonable hyperplane that distinguishes different group in the data space. Given information about the data in any two groups, the SVM model judges to which group the new data belongs based on the hyperplane obtained from the given data set. Thus, the more the amount of meaningful data, the better the machine learning ability. In recent years, many financial experts have focused on machine learning, seeing the possibility of combining with machine learning and the financial field where vast amounts of financial data exist. Machine learning techniques have been proved to be powerful in describing the non-stationary and chaotic stock price dynamics. A lot of researches have been successfully conducted on forecasting of stock prices using machine learning algorithms. Recently, financial companies have begun to provide Robo-Advisor service, a compound word of Robot and Advisor, which can perform various financial tasks through advanced algorithms using rapidly changing huge amount of data. Robo-Adviser's main task is to advise the investors about the investor's personal investment propensity and to provide the service to manage the portfolio automatically. In this study, we propose a method of forecasting the Korean volatility index, VKOSPI, using the SVM model, which is one of the machine learning methods, and applying it to real option trading to increase the trading performance. VKOSPI is a measure of the future volatility of the KOSPI 200 index based on KOSPI 200 index option prices. VKOSPI is similar to the VIX index, which is based on S&P 500 option price in the United States. The Korea Exchange(KRX) calculates and announce the real-time VKOSPI index. VKOSPI is the same as the usual volatility and affects the option prices. The direction of VKOSPI and option prices show positive relation regardless of the option type (call and put options with various striking prices). If the volatility increases, all of the call and put option premium increases because the probability of the option's exercise possibility increases. The investor can know the rising value of the option price with respect to the volatility rising value in real time through Vega, a Black-Scholes's measurement index of an option's sensitivity to changes in the volatility. Therefore, accurate forecasting of VKOSPI movements is one of the important factors that can generate profit in option trading. In this study, we verified through real option data that the accurate forecast of VKOSPI is able to make a big profit in real option trading. To the best of our knowledge, there have been no studies on the idea of predicting the direction of VKOSPI based on machine learning and introducing the idea of applying it to actual option trading. In this study predicted daily VKOSPI changes through SVM model and then made intraday option strangle position, which gives profit as option prices reduce, only when VKOSPI is expected to decline during daytime. We analyzed the results and tested whether it is applicable to real option trading based on SVM's prediction. The results showed the prediction accuracy of VKOSPI was 57.83% on average, and the number of position entry times was 43.2 times, which is less than half of the benchmark (100 times). A small number of trading is an indicator of trading efficiency. In addition, the experiment proved that the trading performance was significantly higher than the benchmark.
Journal of the Korean Society for information Management
/
v.19
no.1
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pp.115-134
/
2002
According to increase share ratio of information on library be unable bring to maintain knowledge and information resource management for information audit and control on management vision in non-profit organization. Application of information management system was necessary to the systems integration and total management activity in total management system of organization. Library must be to investigate knowledge and information promotion and management innovation needs to consider to gather into a bundle problems to include social and economic requirements. This research be able to adaption all library standardization rule review adapt ability of information management system through the analysis compared to various developed performance indicator for library and level evaluation indicator for information management system. Library will be expanse efficiency of organization, satisfaction of users and level up the National competition through the adaptation of information management system.
In this paper, scheduling problem is dealt for the minimization of due date penalty for the customer order. Multiproduct batch processes have been dealt with for their suitability for high value added low volume products. Their scheduling problems take minimization of process operation for objective function, which is not enough to meet the customer satisfaction and the process efficiency simultaneously because of increasing requirement of fast adaptation for rapid changing market condition. So new target function has been suggested by other researches to meet two goals. Penalty function minimization is one of them. To present more precisely production scheduling, we develop new scheduling model with penalty function of earliness and tardiness We can find many real cases that penalty parameters are divergent by the difference between the completion time of operation and due date. That is to say, the penalty parameter values for the product change by the customer demand condition. If the order charges different value for due date, we can solve it with the due date period. The period means the time scope where penalty parameter value is 0. If we make use of the due date period, the optimal sequence of our model is not always same with that of fixed due date point. And if every product have due date period, due date of them are overlapped which needs optimization for the maximum profit and minimum penalty. Due date period extension can be enlarged to makespan minimization if every product has the same abundant due date period and same penalty parameter. We solve this new scheduling model by simulated annealing method. We also develop the program, which can calculate the optimal sequence and display the Gantt chart showing the unit progress and time allocation only with processing data.
Journal of the Korean Data and Information Science Society
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v.20
no.4
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pp.673-684
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2009
Lower Prices are offered through sales by telemarketing. This is to serve our customers by the fastest and most appropriate referral product that is most important to attract insurance. Therefore, Considering the time the customer's preferred products and preferred customer for screening and targeting, depending on what is the difference between the premiums. This study of the logistic regression model using datamining techniques, the life insurance companies in outbound telemarketing to support sales of the effect you want to validate. To join existing life insurance companies for the customer response and sales strategy based on the L segment and by age group, family-love insurance, accident insurance, and cancer insurance were in progress for the modeling. Set model based on the progress of the campaign to existing customers marketing methods and how to extract and run the model results has proven the superiority of the model. In addition, over time, depending on the aging model is set to a decline in operating profit to maximize the profits th update the model which was derived.
This study aims to theoretically examine the validity of argument that market-opening will improve the audience welfare of media and cultural contents. To accomplish its purpose, first of all, this study classifies the spectrum of approaches on cultural market-opening in Korea. Then, it examines, by the concept of public goods, whether market-opening can bring on economic gains for audience as consumer. Finally, this study inspects the profit and loss for audience as citizen which will be brought on by market-opening on the grounds of democratic value. As a result of this study, the improvement of economic efficiency and competence, the expansion of consumer‘s choices, the preservation of cultural value that the positive approach on market-opening is promising cannot be justified theoretically and logically. Therefore, at least in theoretically, the conclusion that market-opening cannot improve the audience welfare is deduced. However, the objection of market-opening cannot be related to the distorted protectionism of nation culture. On the contrary, this study suggests the condition of market-opening debate must be a opportunity to reconsider and reform of cultural diversity in Korea.
The contemporary concept of publicness is reinterpreted from the point of view of contemporary publicness. Contemporary perception of public space has now branched and grown into a multitude of non-traditional sites with a variety of programs in mind. In this study, the aim is to discuss how contemporary public library has been evolved as public space and how to create User-centered interaction. In the case of developed countries, the Public Libraries have showed the expected effects because they have more systematic and efficient plan. Also, these libraries are placed with each facility, not distributed separately. It promotes the accumulation of profit on the space and Increases the efficiency. They support more effectively users' activities through the linkages between each facility and create the active interaction between users. Formation of the various interactions and synergies between space had been induced. Publicity means that the state will relate a combination of a number of specific public area. In addition, open space, public place, shall be directed to: This place as one of the users in order to have meaning, must be equipped with the facilities and space to communicate and understand the local role. Methods of the study are to analyze the concept and role of the users with the concept of modern publicity, to examine the concept of multi-complexity of public libraries for the user-oriented publicness, to learn about the characteristics of public spaces in the public libraries that appear in the advanced countries, to examine how to affect these characteristics in the public libraries, and to suggest the possibility and the various application methods on the characteristics of a public space. In the end, the public libraries for the realization of the publicity, support program complexity such as education and culture, welfare facilities, and public service facilities. In the 21st century, these complexity to improve the quality of service in public libraries. These spaces can be an alternative to be kept comfortable in a more vibrant area, and can affect the social, natural, cultural, and environmental aspects of the physical environment and the objects and relationships, as well as expand.
Purpose: At a time when the distribution industry is dominated by capital and technology, win-win growth among businesses groups (BGs) in wholesale market is becoming a social issue. Therefore, through analysis of market growth, market concentration (MC) and market power (MP), we want to identify the structure of the wholesale market and the competitiveness of the BGs in terms of market share (MS), sales-profit ratio (SPR), and labor productivity (LP) to explore the possibility of win-win growth. Market situation: Wholesale and Retail sales ratio (W/S) continues to increase, which also means inefficiency in distribution channels or opportunities in wholesale markets. Wholesale sales have grown 8.3 percent annually over the past 15 years, while the number of companies and workers has declined since 2017, which is why some restructuring is believed to begin in the wholesale industry. In terms of MC and MP, the growth potential of SBG can be found in FCB, ARM, FBT and CME BTs. Methodology and data: Through ANOVA and Regression Analysis, the 2015 Economic Census Data of KOSTAT was analyzed. Results: The results of ANOVA show that statistically significant SBG has a larger MS than LBG. The SPR was not different among BGs. LP is higher for LBG than for other BGs. Regression results show that the employment weight (EW) and the company size (SC) have positive effects on the MS, but the company weight (CW) and employment size (SE) have negative effects. In the case of SPR, the CW is positive and the EW is negative. In addition, LP appears to be more positive as SC in the BGs is larger. Conclusions: Although there is sufficient potential for SBG in the wholesale market, there is a problem that needs to increase LP. Therefore, the SBG needs to restructure in terms of number of companies and SC to improve the efficiency of employment. In terms of MC and MP, the SBG looks for possibilities in FCB, ARM, FBT and CME BTs. In addition, SBG that seeks higher returns with human services rather than simple sales is found to be competitive in the HHG, MES and CME BTs.
Journal of the Korea Organic Resources Recycling Association
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v.20
no.2
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pp.76-88
/
2012
In this study, the treatment flow of the recyclables(paper, plastic, metal, etc.) collected and separated from MSW was investigated throughout entire phase from separation and collection to final disposal. Based on the site survey, most recyclables came into six material recovery facilities were comparatively managed well. However, some of recyclables showed irrelatively transportation flow. Because the main income source of the recyclables transportation companies is profit margin between treatment and transportation cost based on economics only therefore, it occurs an unnecessary route and long distance transportation while going to final destination. This unreasonable system should be a serious problem relating establishment of the resource recycling system. As a result of this study, in order to establish the reasonably resource recycling system, recycling center including material recovery facility has to manage the recyclables generated in close range preferentially. Also integrated its treatment system over a wide area will need to be considered as a basic step for the reasonable reasonably resource recycling system.
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