• Korea Journal of Hospital Management
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• v.9 no.1
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• pp.66-94
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• 2004

The objective of this study is to examine how to maximize the efficiency of hospital management by minimizing the unit cost of hospital operation. For this purpose, this paper proposes to develop a model of the profit maximization based on the cost minimization dictum using the statistical tools of arriving at the maximum likelihood values. The preliminary survey data are collected from the annual statistics and their analyses published by Korea Health Industry Development Institute and Korean Hospital Association. The maximum likelihood value statistical analyses are conducted from the information on the cost (function) of each of 36 hospitals selected by the random stratified sampling method according to the size and location (urban or rural) of hospitals. We believe that, although the size of sample is relatively small, because of the sampling method used and the high response rate, the power of estimation of the results of the statistical analyses of the sample hospitals is acceptable. The conceptual framework of analyses is adopted from the various models of the determinants of hospital costs used by the previous studies. According to this framework, the study postulates that the unit cost of hospital operation is determined by the size, scope of service, technology (production function) as measured by capacity utilization, labor capital ratio and labor input-mix variables, and by exogeneous variables. The variables to represent the above cost determinants are selected by using the step-wise regression so that only the statistically significant variables may be utilized in analyzing how these variables impact on the hospital unit cost. The results of the analyses show that the models of hospital cost determinants adopted are well chosen. The various models analyzed have the (goodness of fit) overall determination (R2) which all turned out to be significant, regardless of the variables put in to represent the cost determinants. Specifically, the size and scope of service, no matter how it is measured, i. e., number of admissions per bed, number of ambulatory visits per bed, adjusted inpatient days and adjusted outpatients, have overall effects of reducing the hospital unit costs as measured by the cost per admission, per inpatient day, or office visit implying the existence of the economy of scale in the hospital operation. Thirdly, the technology used in operating a hospital has turned out to have its ramifications on the hospital unit cost similar to those postulated in the static theory of the firm. For example, the capacity utilization as represented by the inpatient days per employee tuned out to have statistically significant negative impacts on the unit cost of hospital operation, while payroll expenses per inpatient cost has a positive effect. The input-mix of hospital operation, as represented by the ratio of the number of doctor, nurse or medical staff per general employee, supports the known thesis that the specialized manpower costs more than the general employees. The labor/capital ratio as represented by the employees per 100 beds is shown to have a positive effect on the cost as expected. As for the exogeneous variable's impacts on the cost, when this variable is represented by the percent of urban 100 population at the location where the hospital is located, the regression analysis shows that the hospitals located in the urban area have a higher cost than those in the rural area. Finally, the case study of the sample hospitals offers a specific information to hospital administrators about how they share in terms of the cost they are incurring in comparison to other hospitals. For example, if his/her hospital is of small size and located in a city, he/she can compare the various costs of his/her hospital operation with those of other similar hospitals. Therefore, he/she may be able to find the reasons why the cost of his/her hospital operation has a higher or lower cost than other similar hospitals in what factors of the hospital cost determinants.

• Journal of Korean Library and Information Science Society
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• v.5
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• pp.119-168
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• 1978

This is a survey of the reserved book system in the pilot universities in Korea. We have surveyed only 22 university libraries among 29 pilot schools as of 1977, because of the differences in the library users, library organization, library facilities, and library materials between universities and colleges. In 1972, the Korean Ministry of Education developed a reformation plan for their higher education based on the teaching method of curriculum-oriented faculty instead of that of the faculty-oriented curriculum. The former puts emphasis on the cultivation of a student's thinking, creativity, and judgement through self-teaching to do a given assignment. The reserved book system in a college or university library is one of the most important methods necessary to accomplish the above educational aim. The survey used a questionnaire with 50 question on 28 items concerning the various aspects of the reserved book system in 22 pilot universities. the survey result discovered many problems needing correction. The following list describes the measures needed to correct the problems found in the pilot universities. 1. The management of a centralized reserved book system is much more effective and economical than the decentralized reserved book system when a university is located on the same campus. 2. In the university library, an independent reserved book department requires to gain the desired educational aims as compared with the reserved book room controlled by any other department in the library. 3. The reserved book system should not be adopted by all the departments at once but enlarged gradually, for it needs the understanding and support of faculty members and the university itself. 4. As competence is essential to the effective operation of the reserved book room, the university library should not place an unqualified person in charge of the reserved book department. 5. The librarian in charge of the reserved book department is required to do more professional works such as analysis of users, collection and analysis of syllabuses, maintenance of faculty member cooperation, establishment of measures to acquire unavailable materials, and drawing up an effective management plan. However, he is spending most of his time in clerical works, that is, non-professional works. 6. Three to five titles of each reserved book are considered reasonable and required materials should be shelved in proportion to the number of students, that is, one copy per eight or ten students if the materials are allowed to lend for two hours at a time. For the supplementary materials, the library needs to place two or three copies per subject. 7. Professors must select reserved books with care so that they can be used year after year. 8. Few universities are asking professors the number of class students and the date when the reserved material will no longer be needed on reserve. 9. The library should gather all the lists of reserved books from every professor at least three to five months before the courses open, because it takes a long time to obtain foreign materials. 10. It is desirable that the reserved book department should collect the lists and prepare the materials with promptness and consistency. 11. Instead of block buying, it is desirable to purchase reserved books at the time the library gets the reserved book list from the professors. The library should also inform faculty members whether it obtained each reserved book or not before the course open. 12. The library should make a copy of materials if a professor requires to reserve an out-of-print book or partial contents of a book, journal, and thesis. 13. An independent budger for reserved books from the budget for general materials is desired. 14. The shelf arrangement of reserved books by courses or professors under the same department is much more preferable than a classified arrangement. 15. While most of the universities adopted the open shelves system for all the reserved books, it is more effective and economical to take a compromise system, that is, closed shelves for requires materials and open shelves for supplementary materials. 18. Circulation of reserved books needs a different system between required materials and supplementary materials: two or three hours and/or overnight loan for the former and two and/or three days loan for the latter. 17. A reserved book room should be open a long time after class so that students can have sufficient time to use the room. 18. The library must take daily and monthly statistic as well as statistics on every aspect of the reserved book system in order that the library ma decide on policy and management of the reserved book room in collaboration with the university. Furthermore, regular reports on the use of the reserved book room should be made to the president and the executive council by the library to acquire their understanding and cooperation for the reserved book system. 19. Cooperation of faculty members is indispensable to the effective management of the reserved book department and it is desirable to make a committee which will fix various decisions about the system. Whenever the director of the library make his decision, he must consult with his staff in order to involve them earnestly in the operation of the system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2293-2303
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• 2013

Objective: This study aims to determine whether national patient safety indicators (PSIs) can be calculated. Methods: Using PSI criteria from Organization for Economic Co-Operation and Development (OECD) Health Technical Papers 19 based on the Agency for Healthcare Research and Quality (AHRQ), PSIs were identified in the Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) database for 875,622 inpatient admissions between 2004 and 2008. Logistic regression was used to estimate factors of variations for PSIs. Results: From 2004 to 2008, 3,084 PSI events of 8 PSIs occurred for over 80 thousands discharges. Rates per 1,000 events for decubitus ulcer (PSI3, 4.88), foreign body left during procedure (PSI5, 0.05), postoperative sepsis (PSI13, 1.32), birth trauma-injury to neonate (PSI17, 7.92) and obstetric trauma-vaginal delivery (PSI18, 32.81) are all identified between ranges from maximum to minimum of OECD rates, respectively. However, rates per 1,000 events for selected infections due to medical care (PSI7, 0.22), postoperative pulmonary embolism or deep vein thrombosis (PSI12, 0.90) and accidental puncture or laceration (PSI15, 0.71) are below the minimum of OECD range. 7 PSIs except PSI 18 showed statistically significant relationship with number of secondary diagnoses. When adjusting patient characteristics, there are statistically significant different rates according to bed size or location of hospitals. Conclusion: This is the first empirical study to identify nationally number of adverse events and PSIs using administrative database. While many factors influencing these results such as quality of data, clinical data and so on are remain, the results indicate opportunities for estimate national statistics for patient safety. Furthermore outcome research such as mortality related to adverse events is needed based on results of this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.479-488
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• 2018

This study was conducted to investigate factors affecting low body weight of solitary elderly people by grasping the illness and health behavior of elderly living alone. Using the raw data of the community health survey from 2014, the data of 922 elderly living alone who are 65 years or older were used for the final analysis. Data were analyzed by technical analysis statistics, The Rao Scott $x^2$ test, and logistic regression analysis using the composite analysis module of the SPSS/WIN 22.0 program. The results of this study showed that elderly living alone had a high percentage of chronic diseases as well as poor health behaviors such as smoking, drinking, lack of exercise, poor eating habits, difficulties in dentistry due to dentures, and poor subjective health status. Result of logistic regression analysis the risk probability of low-weight due to gender of the elderly living alone is as follows. Risk of low body weight because of smoking was 3.004 times among occasional smokers in women and the elderly, while risk of low body weight due to walking amount is less than 3 days the possibility that the person walking is low is 1.420 times significantly higher. When feeling subjective stress, the possibility of low body weight was 2.220 times greater for male elderly and 1.282 times for female elderly. The probability of low body weight for a person with a poor subjective health level was 3.633 times for male elderly and 1.590 times for female elderly. Based on the results of this study, it is necessary to establish appropriate nursing intervention and management strategies to improve health behavior of low body weight elderly living alone. It is also necessary to conduct additional studies considering various variables such as physical, psychological, and social characteristics of low-weight elderly individuals.

• Korean Journal of Soil Science and Fertilizer
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• v.45 no.4
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• pp.475-483
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• 2012

Recently, agricultural lands decrease sharply, which was caused by urbanization, land consolidation, road construction, and innovation city construction, etc. In particular, Goyang, Chenan and Wonju city were had severe land use change. Therefore, we analyzed changes of land use, soil properties, and soil information in order to provide the basic soil information and soil management practice in these cities. The results are summarized as follows. The area of crop cultivated land in Korea (2011) was reduced to 17.3ha compared to ones from the previous year (2009). The paddy field decreased by 24.2 ha but, upland field increased by 7.0 ha. The reasons for the reduction of the paddy field were converting paddy field to upland (20.7 ha) > public facilities (3.2) ${\geq}$ building (3.2) > idle land (1.3) > and others (0.9). Other reasons for reduction in the upland field were switching upland to paddy field, (20.7 ha) > land developed (4.5) > and restoration (0.3) respectively. The main reason of converting paddy field to upland was changing from rice to more profitable upland or greenhouse crops. The cropland area (paddy fields, upland, orchard) of Goyang, Cheonan, and Wonju city were reduced to 1,466 ha, 9,708 ha and 6,980 ha respectively. The ratio of cropland area in each city was reduced by 45~25% dramatically compared to upland soil survey project in Korea (1995~1999). These data were compared with MiFAFF statistics data to use for land use cover map of Ministry of environment. But they were differences significantly. Therefore, intensive investigation should be advised throughout the utilization plan. The paddy fields located in small valley in Wonju city were changed into upland or orchard. The drainage classes of soil have been deteriorated because the flows of water were intercepted by road construction and other disturbance to water flows. In particular, paddy fields have been changed to not only upland, orchard, greenhouse cultivation but also to fallow and soil dressing on paddy in Wonju city. The soil suitability classes of paddy field in Wonju innovation city were the 3rd grade for 70.8% of the area and the 4th grade for 29.2%. The soil suitability classes of upland was the 4th grade for 88.7% of the area. Fortunately, good soil suitability classes were not belong to innovation city in Wonju. So, the good farm land should be conserved and revise the related law.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.218-229
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• 2018

The purpose of this study was to provide basic data on smartphone addiction intervention as well as college adaptation education and policy development by confirming the mediating effect of social support in relation to the effect of smartphone addiction on college life adaptation in nursing college students. The subjects of this study were 173 students who agreed to participate in this study among 4-year nursing college students in D city. The collected data were analyzed by descriptive statistics, One-way ANOVA, Pearson's Correlation, Hierarchical Multiple Regression, and Sobel test using the SPSS 23.0 statistical program. In the results, the number of subjects showing smartphone addiction was 47 in the high risk group, 29 in the potential risk group, and 97 in the general group, and the average level of adaptation to college life in the smartphone addiction group was statistically lower as the level of addiction increased. The average social support level of the smartphone addiction group was not significant. There was a negative correlation between students' adaptation to college life and smartphone addiction (r=-.34, p<.001) and a positive correlation with social support (r=.38, p<.001). Social support showed a significant negative correlation with smartphone addiction (r=-.17, p=.023). Moreover, social support was partially mediated. Based on the results of the study, it was found that social support and related college policies are needed to improve students' adaptation to college life.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.432-442
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• 2009

This research had a look at what effect of the pursing benefit has on satisfaction, behavioral intention, and attitude of the visitors to the Gwangju Biennale. The survey was conducted for 320 visitors who finished their exhibition viewing schedule starting September 5 until September 19 [15 days]. 300 questionnaires excepting 20 unfaithfully responded copies among those collected from the surveyed were used for the analysis. As for the statistical disposal of the collected data, after going through the process of Data Coding, this research conducted an frequency analysis using SPSS 12.0 for window & statistics package program AMOS 5.0, an exploratory factor analysis to test the reliability and feasibility of the data, and reliability test of each factor; then, this research tested a hypothesis using structural equation model. The research results are as follows: First, as a result of factor analysis of the 15 pursuing benefits, 4 factors were elicited, such as pursuit of an intellectual experience, pursuit of a novel, exotic experience, pursuit of interpersonal, cultural exchange, and pursuit of internal fullness, etc.; as a result of factor analysis of the 10 attitudes, three factors were elicited, such as affective, cognitive, behavioral factors; as a result of factor analysis of 12 types of satisfaction, two factors, such as satisfaction with facilities and convenience matters, etc. were elicited. Second, as a result of the suitability of research model, suitability, its fidelity came out as $x^2=107.508$, d.f.=48, p=.000, Q=2.240, GFI=.942, AGFI=.906, RMR=.024, NFI=.952, TLI=.963, CFI=.973, RMSEA=.064. Third, pursuing benefit was found out to have a positive effect on satisfaction, attitude, and behavioral intention. Fourth, attitude was found out to have a positive significant effect on satisfaction. Fifth, attitude was found out to have a positive effect on behavioral intention. Sixth, satisfaction was found out to have a positive effect on behavioral intention.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.157-173
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• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Journal of radiological science and technology
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• v.37 no.3
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• pp.177-185
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• 2014

This study focused on effects of patient exposure dose reduction with AEC (Auto Exposure Control) marker that is designed for showing location of AEC in X-ray Chest radiography. It included 880 adults who have to use Chest X-ray Digital Radiography system (DRS, LISTEM, Korea). AEC (Ion chambers are posited in top of both sides) are used to every adult and set X-ray system as Field size $17{\times}17inch$, 120kVp, FFD 180cm. 440 people of control group are posited on detector to include both sides of lung field and the other 440 people of experimental group are set to contact their lung directly to Ion chamber (making marker to shows location). Then, measured every DAP and, estimated patient effective dose by using PCXMC 2.0. The average age of control group (M:F=245:195) is 53.9 and the average BMI is 23.4. BMI ranges from under weight: 35, normal range: 279, over weight: 106 to obese: 20 and average DAP is 223.56mGycm2, Mean effective dose is 0.045mSv. The average age of experimental group (M:F=197:243) is 53.7 and the average BMI is 22.7. BMI ranges from under weight: 34, normal range: 315, over weight: 85 to obese: 6 and average DAP is 207.36mGycm2, Mean effective dose is 0.041mSv. Experimental group shows less Mean effective dose as 0.004mSv (9.7%) than control group. Also, patient numbers who got over exposure more than 0.056mSv (limit point to know efficiency of AEC marker) is 65 in control group (14.7%), 19 in experimental group (4.3%) and take statistics with t-Test. The statistical difference between two groups is 0.006. In order to use proper amount of X-ray in auto exposure controlled chest X-ray system, matching location between ion chamber and body part is needed, and using AEC marker (designed for showing location of ion chamber) is a way to reduce unnecessary patient exposure dose.

• Journal of the Korea Organic Resources Recycling Association
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• v.3 no.2
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• pp.25-36
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• 1995

It is important to separate the compostables from waste for successful operation of composting plant, since various compositions are mixed in it. For the separation of compostables, it is necessary to estimate total amounts of compostables from several sources. Based on it, required capacity and number of composting plant as well as proper waste collection and transportation system can be determined. So, amounts of garbage, major target material for composting. were estimated in this study. In survey of unit garbage generation(UGG). different estimation results would be obtained depending on the basis of its measurement. However, previous researches did not consider it. In this paper, the correlations between area and the number of user of garbage source were analyzed to find the related equations which were apllyed to estimation of total generation. Obtained results are as the following. Relative variations of measured UGG based on area and custumer are 62.5 and 52.8, respectively. In linear regression, related equation between area and custumer was Y=0.244X+59.0 (X=area, Y=custumer). The correlation factor r is 0.904. Equation Y=616.5X/(X+1215.4) was also obtained from linear regression using Monod equation (r=0.720). From the first order equation and measured data of UGG based on custumer, amounts of garbage generation from restaurant in Seoul and the whole country were calculated to 2043.9 ton/d and 9014.0 ton/d, respectively. But, the values calculated from measured data of UGG based on area were as low as 821.3 ton/d Cin Seoul) and 3821.0 ton/d(in the whole country). Consequently, the measurement of unit garbage generation based on the number of custumer was more favorable to lessen the points of survey and to guarantee the representative values. Especially, it would fit well on restaurant having statistics of area.