• Journal of agricultural medicine and community health
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• v.13 no.1
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• pp.3-18
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• 1988

The general objective of this research is to study behavioral pattern of health care utilization and to measure the level of utilization of the traditional medicine. The specific objective is to study utilization pattern and content of folk medicine which is the indegenous medical technology recognized part of traditional medicine. This research was under taken to generate valid information that will provide basis data for formulating general direction for health education activities and for designing service package for general population. A social survey method was employed to obtain required information for the research activities, The survey field team consisted of 20 surveyors who all participated is an intensive 2 day training course. A total of 3091 households were visited and interviewed by the field team during the period 7 September to 6 October 1987. The major findings obtained from the information collected by the field survey are as follows ; 1) General characteristics of the study households 2562 households out of 3091 households visited were selected for final data process, 80.2 of the selected households were nuclear families ; 17.4%, extended families ; others 2.4%. Only 4.3 percent of the study population in the urban households indicated "no schooling" whereas 14.2% of the rural household members falls within this category. Study population in the urban areas are more protected against diseases by the national medical insurance system than those in rural areas. In their self appraisal of living standard, those who responded with low group are 39.6% and 50.3% respectively by urban and rural households. 2) Morbidity status Period prevalence rate for all diseases during the preceding 15 days before the date of the household interview v as 243,0 per 1,000 study population. For cases with the illness duration of within 15 days, the initial points of medical entry were diversied ; 56.9%, drug stores ; 30.9%, clinics and hospitals ; 4.6% folk medicine ; 1.7% clinics of Korean oriental medicine. Among the chronic case; with illness duration of over 90 days, 34.6% of these people utilized clinics and hospitals of modern medicine ; 31.6%, drug stores ; 18.6% clinics of Korean oriental medicine ; 6.8% folk medical techniques. Noticeable is the almost ten fold increase from the mere 0.9% in the utilization of Korean oriental medicine, whereas in the utilization of folk medicine, it is short of two-fold increase. 3) Folk medicine and its utilization Households that use folk medicine for relief and care of signs and symptoms commonly encountered in daily life, number 1969 households, which accounts for 76.9% of all the study households. This rather high level use of folk medicine is not different from rural to urban areas. The order of frequency of utilizing folk medicine among the study people are : the highest 14.3% for the relief of indigestion ; 8.6% for burns ; 5.1% for common cold ; 4.7% for hiccough ; and 4.2% for hordeolum. A present various procedures of folk medicine is being used to relieve all kinds of symptoms. 192 symptoms are identified at present. The most frequently used procedures of folk medicine appear to be based either on principles of the Korean oriental medicine or of scientific knowledge. Based on these survey findings, proposals for utilizing folk medicine are as follows First, this survey's findings will be feed back to both on the job training and on the spot guidance of community health practitioners, public health nurses and other peripheral work force in the health field, who are in daily contacts with community. This feed back will assure that the health personnel carry out their health education and information activities that are based on the utilization pattern of folk medicine as found in the survey result. Second, studies will be soon implemented that are designed to measure the efficiency and potency of these procedures and to improve these procedures of folk medicine were most frequently used by the community. Third, studies will continue to systematize medicinal plants and skills of Korean oriental medicine that are easily available at minimal cost in daily life for the prevention of diseases and management of emergency cases.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.243-264
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• 2018

Although the worldwide battery market is recently spurring the development of lithium secondary battery, lead acid batteries (rechargeable batteries) which have good-performance and can be reused are consumed in a wide range of industry fields. However, lead-acid batteries have a serious problem in that deterioration of a battery makes progress quickly in the presence of that degradation of only one cell among several cells which is packed in a battery begins. To overcome this problem, previous researches have attempted to identify the mechanism of deterioration of a battery in many ways. However, most of previous researches have used data obtained in a laboratory to analyze the mechanism of deterioration of a battery but not used data obtained in a real world. The usage of real data can increase the feasibility and the applicability of the findings of a research. Therefore, this study aims to develop a model which predicts the battery deterioration using data obtained in real world. To this end, we collected data which presents change of battery state by attaching sensors enabling to monitor the battery condition in real time to dozens of golf carts operated in the real golf field. As a result, total 16,883 samples were obtained. And then, we developed a model which predicts a precursor phenomenon representing deterioration of a battery by analyzing the data collected from the sensors using machine learning techniques. As initial independent variables, we used 1) inbound time of a cart, 2) outbound time of a cart, 3) duration(from outbound time to charge time), 4) charge amount, 5) used amount, 6) charge efficiency, 7) lowest temperature of battery cell 1 to 6, 8) lowest voltage of battery cell 1 to 6, 9) highest voltage of battery cell 1 to 6, 10) voltage of battery cell 1 to 6 at the beginning of operation, 11) voltage of battery cell 1 to 6 at the end of charge, 12) used amount of battery cell 1 to 6 during operation, 13) used amount of battery during operation(Max-Min), 14) duration of battery use, and 15) highest current during operation. Since the values of the independent variables, lowest temperature of battery cell 1 to 6, lowest voltage of battery cell 1 to 6, highest voltage of battery cell 1 to 6, voltage of battery cell 1 to 6 at the beginning of operation, voltage of battery cell 1 to 6 at the end of charge, and used amount of battery cell 1 to 6 during operation are similar to that of each battery cell, we conducted principal component analysis using verimax orthogonal rotation in order to mitigate the multiple collinearity problem. According to the results, we made new variables by averaging the values of independent variables clustered together, and used them as final independent variables instead of origin variables, thereby reducing the dimension. We used decision tree, logistic regression, Bayesian network as algorithms for building prediction models. And also, we built prediction models using the bagging of each of them, the boosting of each of them, and RandomForest. Experimental results show that the prediction model using the bagging of decision tree yields the best accuracy of 89.3923%. This study has some limitations in that the additional variables which affect the deterioration of battery such as weather (temperature, humidity) and driving habits, did not considered, therefore, we would like to consider the them in the future research. However, the battery deterioration prediction model proposed in the present study is expected to enable effective and efficient management of battery used in the real filed by dramatically and to reduce the cost caused by not detecting battery deterioration accordingly.

• Information Systems Review
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• v.11 no.1
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• pp.161-179
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• 2009

Nowadays an increasing number of Internet users are running individual websites as Blog or Cyworld. As this type of personal media has a great influence on communication among people, business comes to care about Network Effect, Network Software, and Social Network. For instance, Cyworld created the web service called 'Minihompy' for individual web-logs, and acquired 2.4milion users in 2007. Although many people assumed that the popularity of Minihompy, or Blog would be a passing fad, Cyworld has improved its service, and expanded its Network with various contents. This kind of expansion reflects survival efforts from infinite competitions among ISPs (Internet Service Provider) with focus on enhancing usability to users. However, Cyworld's Network Effect is gradually diminished in these days. Both of low production cost of service vendors and the low searching/conversing costs of users combine to make ISPs hard to keep their market share sustainable. To overcome this lackluster trend, Cyworld has adopted new strategies and try to lock their users in their service. Various efforts to improve the continuance and expansion of Network effect remain unclear and uncertain. If we understand beforehand how a service would improve Network effect, and which service could bring more effect, ISPs can get substantial help in launching their new business strategy. Regardless many diverse ideas to increase their user's duration online ISPs cannot guarantee 'how the new service strategies will end up in profitability. Therefore, this research studies about Network effect of Cyworld's 'Minihompy' using System-Dynamics method which could analyze dynamic relation between users and ISPs. Furthermore, the research aims to predict changes of Network Effect based on the strategy of new service. 'Page View' and 'Duration Time' can be enhanced for the short tenn because they enhance the service functionality. However, these services cannot increase the Network in the long-run. Limitations of this research include that we predict the future merely based on the limited data. We also limit the independent variables over Network Effect only to the following two issues: Increasing the number of users and increasing the Service Functionality. Despite of some limitations, this study perhaps gives some insights to the policy makers or others facing the stiff competition in the network business.

• Journal of Korea Water Resources Association
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• v.56 no.11
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• pp.751-764
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• 2023

Gangwon State is centered on the Taebaek Mountains with very different climate characteristics depending on the region, and localized heavy rainfall is a frequent occurrence. Heavy rain disasters have a short duration and high spatial and temporal variability, causing many casualties and property damage. In the last 10 years (2012~2021), the number of heavy rain disasters in Gangwon State was 28, with an average cost of 45.6 billion won. To reduce heavy rain disasters, it is necessary to establish a disaster management plan at the local level. In particular, the current criteria for heavy rain warnings are uniform and do not consider local characteristics. Therefore, this study aims to propose a heavy rainfall warning criteria that considers the threshold rainfall for the advisory areas located in Gangwon State. As a result of analyzing the representative value of threshold rainfall by advisory area, the Mean value was similar to the criteria for issuing a heavy rain warning, and it was selected as the criteria for a heavy rain warning in this study. The rainfall events of Typhoon Mitag in 2019, Typhoons Maysak and Haishen in 2020, and Typhoon Khanun in 2023 were applied as rainfall events to review the criteria for heavy rainfall warnings, as a result of Hit Rate accuracy verification, this study reflects the actual warning well with 72% in Gangneung Plain and 98% in Wonju. The criteria for heavy rain warnings in this study are the same as the crisis warning stages (Attention, Caution, Alert, and Danger), which are considered to be possible for preemptive rain disaster response. The results of this study are expected to complement the uniform decision-making system for responding to heavy rain disasters in the future and can be used as a basis for heavy rain warnings that consider disaster risk by region.

• Health Policy and Management
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• v.20 no.1
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• pp.103-124
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• 2010

Objectives: The out-of-pocket payment (OOP) of the Industrial Accident Compensation Insurance (IACI) in Korea was investigated empirically in terms of its incidence, magnitude and factors influencing them. Methods: The subjects were sampled with stratified, randomized methods among medical institutions of which the number of monthly IACI claims exceeded its median as of May 2008. Out of 204 institutions selected, 118 institutions (57.8%) responded to this survey. A total of 24,826 episodes(2,457 inpatient and 22,369 outpatient episodes) were included in this analysis. The incidence and magnitude of OOP of IACI were calculated by characteristics of institution as well as patient. Factors that affected the incidence and magnitude of OOP were investigated through multi-level analysis. Results: The overall incidence of OOP of IACI was 9.9% (25.6% for inpatient and 8.2% for outpatient) and the percentage of OOP among total expenditures was 8.3% on average (7.6% for inpatient and 26.8% for outpatient); 25.2% at traditional oriental medicine hospitals, 9.5% at general hospitals and 2.5% at the industrial-accident-designated medical institutions. The incidence of OOP of IACI was influenced by hospital size, ownership, longer duration of designation (over 5 years) and length of stay. On the other hand, its magnitude was influenced by medium-sized hospital, public hospital, location of large city and length of stay. Extra charges for upper grade room which accommodates less than 4 patients and treatment by specialists were the leading contributors to the magnitude of OOP of IACI. Conclusion: The incidence and magnitude OOP of IACI varied in institution type and were influenced by both institutional and patient's factors. In order to achieve the goal of Industrial Accident Compensation Insurance, appropriate level of compensation, that is, no incidence of OOP, for accident and disease of workers, it is necessary to take measures to reduce incidence and magnitude of OOP.

• Journal of Chest Surgery
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• v.32 no.5
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• pp.448-455
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• 1999

Background: Recent developments in techniques of video-assisted thoracic surgery(VATS) and endoscopic equipment has expanded the application of video-assisted surgical procedures in the field of thoracic surgery. Especially, it will probably become the treatment of choice of spontaneous pneumothorax(SP). There is, however, a high recurrence rate, high cost, and paucity of long-term results. We report the results of postoperative follow-up and analyze perioperative parameters affected to recurrence, retrospectively. Material and Method: From march 1992 to march 1997, 276 patients with spontaneous pneumothorax underwent 292 VATS procedures. Conversion to open thoracotomy was necessitated in eight patients, and this patients excluded from the study. Result: The sex distribution was 249 males and 31 females. The mean age was 28.1 12.2 years(range, 15 to 69 years). Primary SP was 237cases(83.5%) and secondary SP was 47cases(16.5%). The major underlying lung diseases associated with secondary SP were tuberculosis 27cases(57.4%) and emphysema 8cases (38.3%). Operative indications included Ipsilateral recurrence 123(43.9%), persistent air-leak 53(18.9%), x-ray visible bleb 40(14.3%), tension 30(10.7%), contralateral recurrence 21(7.5%), uncomplicated first episode 8(2.9%), bilateral 3(1.1%), complicated episode 2(0.7%). Blebs were visualized in 247cases(87%) and 244cases(85.9%) performed stapled blebectomy. Early postoperative complications occurred in 33 cases(11.6%): 16 prolonged air-leak more than 5 days(four of them were required a second operation and found missed blebs); 5 bleeding; 5 empyema; 2 atelectasis; 1 wound infection. No deaths occured. The mean operative time was 52.8 23.1 minutes(range, 20 to 165 minutes). The mean d ration of chest tube drainage was 5.0 4.5 days(range, 2 to 37 days). The mean duration ofhospital stay was 8.2 5.5 days (range, 3 to 43days). At a mean follow-up 22.3 18.4 months(range, 1 to 65 months), 12 patients(4.2%) were lost to follow-up. There were 24 recurrences and seven patients underwent second operation and 6 patients(85.7%) were found the missed blebs. 12 perioperative parameters(age, sex, site, underlying disease, extent of collapse, operative indication, size of bleb, number of bleb, location of bleb, bleb management, pleural procedure, prolonged postoperative air-leak) were analyzed statistically to identify significant predictors of recurrence. The significant predictors of recurrence was the underlying disease[17.0%(8/47): 6.8%(16/237), p=0.038], prolonged postoperative air-leakage[37.5%(6/16): 6.7%(18/268), p=0.001], and pleural procedure [11.4%(19/167): 4.3%(5/117), p=0.034]. Blebectomy has less recurrence rate then non-blebectomy [8.2%(20/244) : 10.0%(4/40), p>0. 5]. However, this difference was not statistically significant(p=0.758). Conclusion: We conclude that it is important that we shoud careful finding of bleb during VATS due to reducing of recurrnece, and cases of no bleb identified and secondary spontaneous pneumothorax were indicated of pleurodectomy. VATS is a valid alternative to open procedure for the treatment of spontaneous pneumothorax with less pain, shorter hospital stay, more rapid return to work, high patient acceptance, less scar and exellent cosmetics. But, there is high recurrence rate and high cost, and than it is necessary to evaluate of long-term results for recurrence and to observate carefully during VATS.

• Journal of Distribution Research
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• v.17 no.5
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• pp.59-83
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• 2012

Agriculture is a primary industry that influenced by the weather or meterological factors more than other industry. Global warming and worldwide climate changes, and unusual weather phenomena are fatal in agricultural industry and human life. Therefore, many previous studies have been made to find the relationship between weather and the productivity of agriculture. Meterological factors also influence on the distribution of agricultural product. For example, price of agricultural product is determined in the market, and also influenced by the weather of the market. However, there is only a few study was made to find this link. The objective of this study is to investigate the effects of meterological factors on the distribution of agricultural products, focusing on the distribution of chinese cabbages. Chinese cabbage is a main ingredient of Kimchi, and basic essential vegetable in Korean dinner table. However, the production of chinese cabbages is influenced by weather and very fluctuating so that the variation of its price is so unstable. Therefore, both consumers and farmers do not feel comfortable at the unstable price of chinese cabbages. In this study, we analyze the real transaction data of chinese cabbage in wholesale markets and meterological factors depending on the variety and geography. We collect and analyze data of meterological factors such as temperatures, humidity, cloudiness, rainfall, snowfall, wind speed, insolation, sunshine duration in producing and consuming region of chinese cabbages. The result of this study shows that the meterological factors such as temperature and humidity significantly influence on the volume and price of chinese cabbage transaction in wholesale market. Especially, the weather of consuming region has greater correlation effects on transaction than that of producing region in all types of chinese cabbages. Among the whole agricultural lifecycle of chinese cabbages, 'seeding - harvest - shipment - wholesale', meterological factors such as temperature and rainfall in shipment and wholesale period are significantly correlated with transaction volume and price of crops. Based on the result of correlation analysis, we make a regression analysis to verify the meterological factors' effects on the volume and price of chines cabbage transaction in wholesale market. The results of stepwise regression analysis are shown in