• Korean Journal of Veterinary Research
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• v.44 no.4
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• pp.587-591
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• 2004

Blood samples from 622 pigs of 44 farms which were sero-positive to Mycoplasma hyopneumoniae (M. hyo) by ELISA method were collected from May 2003 to July 2004. And they were divided into 2 categories : M. hyo-vaccinated group (7 swine farms) and M. hyo-non-vaccinated group (37 swine farms). Then, each swine farm was analysed by sero-positive percentage per weeks of age. It was observed that the sero-positive percentage to M. hyo is directly proportional to weeks of age in the 44 swine farms that were selected. This meant that there has been a chronic infection of M. hyo in Korean swine herds and control of M. hyo infection did not have worked efficiently. In 7 M. hyo-vaccinated swine farms, there were no reliable patterns between sero-positive percentage to M. hyo and weeks of age. Although the swine farms have been used M. hyo vaccine, they had only little sero-positive percentage that was less than 50% at 6 to 11 weeks of age. This means a present vaccination program does not induce sufficiently a seroconversion expected. In 37 M. hyo-non-vaccinated swine farms, it was observed that sero-positive percentage was higher at above 15 weeks of age. This result showed that infection of M. hyo occurred commonly at between 7 and 12 weeks of age, at which pigs moved to the growing house. Because a risk of natural infection is severe at growing stage as well as nursery stage, it suggested that M. hyo vaccination at several weeks prior to the growing stage will give efficient effect to control the enzootic pneumonia.

• Journal of Preventive Medicine and Public Health
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• v.16 no.1
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• pp.5-11
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• 1983

The BCG vaccination has been employed as the main control measure for pulmonary tuberculosis in Korea since 1952. However, the protective efficacy of BCG against tuberculosis has been controversial worldwide. This study was conducted to evaluate the protective efficacy of BCG against pulmonary tuberculosis by a case-cotrol study. The study subjects included all the pulmonary tuberculous patients under 20 years of age who were registered in six health centers in Taegu City between May 1 and September 30, 1982. The controls were randomly selected among non-tuberculous out-patients matched by the age, sex and residence of the cases. The history of BCG vaccination was confirmed by the scar of 400 cases and 659 controls. The relative risk of the BCG recipients for pulmonary tuberculosis were 0.5 and the protective efficacy of the BCG was. 51.5%. It appears that the BCG vaccination is an efficient preventive measure in Korea where tuberculosis is prevalent. Thus the routine BCG vaccination should be continued.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.31-39
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• 2020

According to lessons learned from an accident of Fukushima Daiichi nuclear power plant, it is advisable to make a comprehensive radiation survey by the accident phase for efficient response and risk management using diverse survey platforms. This study focuses on the technical status of environmental radiation monitoring using a UAV (Unmanned aerial vehicle) and the performance test of developed aerial survey system based on two detectors with an high energy resolution through the field application to contaminated areas. Finally, the performance of aerial survey at diverse flight heights was successfully achieved by introducing the correction factor to represent the results into ambient dose rate at 1m above the ground.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.5
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• pp.458-463
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• 2005

The total asset management system is used for banks or financial institutions for the management of trusteed assets or own assets and it is divided into three systems: the front-office system, the middle-office system and the back-office system by its business areas and functionalities. This kind of asset management system is a huge and complex system handling large data and various financial products, and requires professional knowledges like accounting, financial product specific knowledge, compliance and regulations, etc. It also performs high level computation for NAV calculation and risk measurement on every day Therefore, it needs absolute stability, extendability and efficiency and should handle the frequent change of regulation and products and connectivity with outdoor institutions. In this paper, we report our successful development of such a system and discuss issues regarding its efficient system design and system construction.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.575-585
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• 2019

Purpose: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with that of the Braden Scale used in the study hospital. Methods: A retrospective case-control study was conducted in a tertiary teaching hospital in Korea. Data of 202 pressure ulcer patients and 14,705 non-pressure ulcer patients admitted between January 2015 and May 2016 were extracted from the EHRs. Three predictive models for pressure ulcer incidence were developed using logistic regression, Cox proportional hazards regression, and decision tree modeling. The predictive validity performance indicators of the three models were compared with those of the Braden Scale. Results: The logistic regression model was most efficient with a high area under the receiver operating characteristics curve (AUC) estimate of 0.97, followed by the decision tree model (AUC 0.95), Cox proportional hazards regression model (AUC 0.95), and the Braden Scale (AUC 0.82). Decreased mobility was the most significant factor in the logistic regression and Cox proportional hazards models, and the endotracheal tube was the most important factor in the decision tree model. Conclusion: Predictive validity performance indicators of the Braden Scale were lower than those of the logistic regression, Cox proportional hazards regression, and decision tree models. The models developed in this study can be used to develop a clinical decision support system that automatically assesses risk for pressure ulcers to aid nurses.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.94-103
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• 2021

This study aims to propose technical trading rules for Bitcoin futures and empirically analyze investment performance. Investment strategies include standard trading rules such as VMA, TRB, FR, MACD, RSI, BB, using Bitcoin futures daily data from December 18, 2017 to March 31, 2021. The trend-following rules showed higher investment performance than the comparative strategy B&H. Compared to KOSPI200 index futures, Bitcoin futures investment performance was higher. In particular, the investment performance has increased significantly in Sortino Ratio, which reflects downside risk. This study can find academic significance in that it is the first attempt to systematically analyze the investment performance of standard technical trading rules of Bitcoin futures. In future research, it is necessary to improve investment performance through the use of deep learning models or machine learning models to predict the price of Bitcoin futures.

• Archives of Craniofacial Surgery
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• v.20 no.1
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• pp.24-30
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• 2019

Background: Closed reduction of the fracture under general or local anesthesia with elevators or forceps is widely used to treat nasal bone fractures. However, operating under general anesthesia increases the risk of morbidity and raises the cost of management. Furthermore, using forceps or elevators may cause undercorrection, new fractures, mucosal damage, and nasal hemorrhage. We therefore performed manual reduction under local anesthesia, using the little finger, to minimize the demerits of treatment under general anesthesia with forceps or elevators and aimed to assess functional and aesthetic outcomes, and patient satisfaction. Methods: Patients who visited the plastic and reconstructive surgery department between November 2016 and November 2017 with nasal bone fractures and treated by a single surgeon were prospectively followed up. Patients with simple unilateral or bilateral nasal bone fractures were treated with bedside finger reduction under local anesthesia and patients with comminuted nasal bone or septal fractures were scheduled for closed reduction under general anesthesia. Results: Of 84 patients, 28 met the inclusion criterion and underwent bedside finger reduction under local anesthesia. Twenty-seven patients (96.4%) were successfully contacted via telephone for survey. Twenty-three (85.2%) showed good and three (11.1%) showed fair results. All 27 patients (100%) were satisfied with their postoperative function and 25 (92.6%) were satisfied with their postoperative aesthetic result. Twenty-five patients (92.6%) preferred the finger reduction method under local anesthesia over closed reduction under general anesthesia. Conclusion: Finger reduction under local anesthesia in patients with mild unilateral or bilateral nasal bone fractures is an easy and efficient procedure with high patient satisfaction and favorable postoperative functional and aesthetic outcomes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.807-808
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• 2016

With the recent rise in nuclear families and single-member families, there is a need for the kind of home management unaffected by neither space nor time. Moreover, electronic devices in and around the home need to be managed efficiently and prevented from overheating, and there is an increasing risk of fire, theft, and leak of personal data with these devices, which is leading to an increase in the economic costs. Accordingly, there is a growing need for an efficient and secure smart home management system. This paper proposes a home management system that uses smart devices. This system has addressed the shortcomings of a conventional Internet-based home network. Furthermore, it communicates with IoT-enabled devices and features intelligent information home appliances that are isolated from personally identifiable information and which are secure against advanced persistent threats, a type of cyber-attack.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.790-791
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• 2016

The system used in the laboratory of chemistry and medical is management only by measuring the temperature inside the reagent management within and recording in handwriting. When you hold the reagent, it can not recognize in real time the problems that occur in the interior, an accident occurs. you can not find a use record reagent storage, a problem with the management of an efficient reagent can be generated. In this paper, we propose a reagent management system that leverages the embedded boards and sensors in the laboratory reagents effectively manage to resolve it. As a result, Converting the information of the reagent to the data using the NFC, the administrator can identify the reagent user to register and manage hazardous reagents. Converted by using the NFC information of the reagent to the data, the administrator can identify the reagent user to register and manage hazardous reagents, temperature, humidity, so that it can be controlled by utilizing the VOC sensor to. Also it is passes the message to the administrator in the event of a particular risk situation. This is believed to enable the effective administration in a laboratory reagent.

• Journal of the Korean Institute of Educational Facilities
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• v.25 no.6
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• pp.35-44
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• 2018

The purpose of this study is to predict more accurate construction costs and to support efficient decision making in the planning and design stages of smart education facilities. The higher the error in the projected cost, the more risk a project manager takes. If the manager can predict a more accurate construction cost in the early stages of a project, he/she can secure a decision period and support a more rational decision. During the planning and design stages, there is a limited amount of variables that can be selected for the estimating model. Moreover, since the number of completed smart schools is limited, there is little data. In this study, various artificial intelligence models were used to accurately predict the construction cost in the planning and design phase with limited variables and lack of performance data. A theoretical study on an artificial neural network and deep learning was carried out. As the artificial neural network has frequent problems of overfitting, it is found that there is a problem in practical application. In order to overcome the problem, this study suggests that the improved models of Deep Neural Network and Deep Belief Network are more effective in making accurate predictions. Deep Neural Network (DNN) and Deep Belief Network (DBN) models were constructed for the prediction of construction cost. Average Error Rate and Root Mean Square Error (RMSE) were calculated to compare the error and accuracy of those models. This study proposes a cost prediction model that can be used practically in the planning and design stages.