• Proceedings of the KOSOMBE Conference
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• v.1989 no.05
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• pp.75-76
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• 1989

The blood bank is a field of clinical pathology which requires the most accuratemaintenanceofrecording. Because the mistake in it is directly related to a patient's life. So, the computerization of the blood bank is urgent to maintain a log blook arid to compare the patient's current data with past result. We developed the blood bank management program using 32 bit minicomputer. This is composed of 4 parts; a management of routine test result, special test result, the blood issue and statistics. The management of routine test result handles the patient's information and blood typing and compares above results with the past one of same patient. The management of special test result are for special immunohematologic tests like an irregular antibody, Coombs' test, and etc. Blood issue part records the type of the blood bag, component, and the name of issuer. Statistic part are made to get statistics of each day and each month by the blood type, and the type the blood component. The program is secured by the maintenance of operator's operation history and thu provision of the security code to each operator, without which no one can enter the system and after the content. So the stability and reliability of the data is obtained. This program will be upgraded for bar-code using system in the near future.

• Health Policy and Management
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• v.26 no.3
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• pp.172-184
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• 2016

Background: The objective of this study was to examine the effect of occurrence and reoccurrence of catastrophic health expenditure (CHE) on transition to poverty and persistence of poverty in South Korea. Methods: The data of the year 2008-2011 from the Korea Health Panel were used. CHE was defined as the share of total health expenditure in a household out of a household's total income at various threshold levels (more than 5%, 10%, 15%, and 20%). The effect of catastrophic expenditure on transition to poverty and persistence of poverty was analyzed through multivariate logistic regression. Results: The shares of households facing CHE at various threshold levels have increased gradually with 37.7%, 21%, 13.1%, and 9.5% in 2011. Households facing CHE were more likely to experience transition to poverty at thresholds level of more than 5% and 20% in 2010 set. Households facing CHE seemed to experience persistence of poverty, but it was not statistically significant. About 40% of households facing CHE in 2009 encountered another shock of CHE in 2010. Households without CHE seemed to experience more transition to poverty and persistence of poverty, but it was not statistically significant. For household with multiple CHE, those with medical aid were more likely to experience transition to poverty with statistical significance, but the statistical significance disappeared in case of persistence of poverty. Conclusion: The Korean health system needs to be improved to serve as a social security net for addressing transition to poverty and persistence of poverty due to facing CHE.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.1
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• pp.29-37
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• 2006

Due to the spread of mobile communication with the development of computer network, nowadays various types of multimedia data play an important role in many areas such as entertainments, culture contents, e-commerce or medical science. But for the real application of these data, the security in the course of saving or transferring them through the public network should be assured. In this sense, many encryption algorithm have been developed and utilized. Nonetheless, most of them have focused on the text data. So they may not be suitable to the multimedia application because of their large size and real time constraint. In this paper, a chaotic map has been employed to create a symmetric stream type of encryption scheme which may be applied to the digital images with a large amounts of data. Then an efficient algebraic encryption algorithm based on the elementary operations of the Boolean matrix and image data characteristics.

• Fire Science and Engineering
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• v.26 no.3
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• pp.49-59
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• 2012

This study is aimed to increase the fire-fighting manpower utilization and the increasing of its services in aging society. Due to continuous improvement of living standards and development of medical technology, the elderly population rate is being increased and it brings rapid progresses of aging society. Therefore, as a fire-fighting organization which is responsible for safety from various disasters, they should grasp comprehensively and systematically exact status of weak person from disaster in perspective of it with conjunction of all concerned department and at the same time proceed to speedy move as well as determine the appropriate emergency measures. In order to do this, safe life education for elderly people and the comprehensive measures of home security should be taken by transforming the policy from particular object-oriented policy to demand-driven policy. And through the expansion of one one nine services such as using grandeur of powerful IT nation out of old-fashioned promotion way, they should provide fire-fighting service for convenient and comfortable life of elderly people after retirement. A consideration of the elderly people is the best way to penetrate a advancement fire-fighting in aging society.

• Health Policy and Management
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• v.30 no.2
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• pp.192-198
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• 2020

Background: Korea National Health Insurance Service (NHIS) is operated as a social insurance system in which people pay a portion of their monthly income as insurance premiums and receive benefits when they experience illness or injury. Since 2005, the national health insurance remained surplus accumulating cumulative reserves each year. However, as of 2018, NHIS revenue recorded 62.11 trillion won and spending of 62.29 trillion won. The deterioration of NHIS finances is expected to accelerate with the aging population, income growth, new medical technology development, and enhanced security policies. Methods: To examine the financial health and sustainability of NHIS, we estimated the future revenue and spending until 2030 using the data from Korea Health Insurance Review and Assessment Service statistical yearbook. 2004-2018 average percentage change in NHIS revenue and spending was calculated. We estimated the future NHIS financial status using two methods. In the first method, we calculated the revenue and spending of the future NHIS by applying the 2004-2018 average percentage change to the subsequent years consecutively. In the second method, we estimated the future NHIS financial status after adjusting for the predicted demographic changes such as the aging population and declining birth rate in South Korea. Results: The estimates from this study suggest that the NHIS's cumulative reserves will run out by 2024. Conclusion: In terms of spending on current health insurance, there should be a search for ways of more efficient spending and funding options.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.245-258
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• 2016

This paper aims to present the way to bring about significant results through performance improvement of learning algorithm in the research applying to machine learning. Research papers showing the results from machine learning methods were collected as data for this case study. In addition, suitable machine learning methods for each field were selected and suggested in this paper. As a result, SVM for engineering, decision-making tree algorithm for medical science, and SVM for other fields showed their efficiency in terms of their frequent use cases and classification/prediction. By analyzing cases of machine learning application, general characterization of application plans is drawn. Machine learning application has three steps: (1) data collection; (2) data learning through algorithm; and (3) significance test on algorithm. Performance is improved in each step by combining algorithm. Ways of performance improvement are classified as multiple machine learning structure modeling, $+{\alpha}$ machine learning structure modeling, and so forth.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.201-208
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• 2015

Recently computer, smart phone, medical devices, etc has become used in a variety of environments as the application fields of IT products have become diversification. Attack case of abuse of software security vulnerabilities is on the increase as the application fields of software have become diversification. Accordingly, secure coding program is of a varied but history management, updating, API module to be vulnerable to attack. Thus, this paper proposed a materialization of CMS linked system to enable check the vulnerability of the source code to content unit for secure software development, configuration management system that interwork on the transmission module. Implemented an efficient coding system secure way that departmentalized by the function of the program and by analyzing and applying secure coding standards.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.381-391
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• 2017

Biometric technology is a technology for authenticating a user using the physical or behavioral features of the inherent characteristics of the individual. With the necessity and efficiency of the technology in the fields of finance, security, access control, medical welfare, inspection, and entertainment, the service range has been expanding. Biometrics using biometric information such as fingerprints and faces have been exposed to counterfeit and disguised threats and become a social problem. Recent studies using a bio-signal from the inside of the body other than the bio-information of the external body are being developed. This paper analyzes the recent research and technology of biometric systems using bio-signals, ECG, heart sounds, EEG, and EMG to present the skills needed for the development direction. In the future, utilizing the deep learning to build and analyze database to manage bio-signal based big data for the complex condition of individuals, biometrics technologies suitable for real time environment are expected to be researched.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.4
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• pp.101-106
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• 2020

In the current medical field, ultrasound diagnosis can be said to be the same as a stethoscope in the past. However, due to the nature of ultrasound, it has the disadvantage that the prediction of results is uncertain depending on the skill level of the examiner. Therefore, this paper aims to improve the accuracy of liver lesion detection during ultrasound examination based on deep learning technology to solve this problem. In the proposed paper, we compared the accuracy of lesion classification using a CNN model and an ensemble model. As a result of the experiment, it was confirmed that the classification accuracy in the CNN model averaged 82.33% and the ensemble model averaged 89.9%, about 7% higher. Also, it was confirmed that the ensemble model was 0.97 in the average ROC curve, which is about 0.4 higher than the CNN model.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.4
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• pp.397-403
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• 2015

In this paper, a method of ISAR geometric calibration is represented by using impulse-radio UWB radar. The ir-UWB is good for using a signal processing in time domain, so, it does not occur a multi-path or coupling problem. If a signal that between antennas and target is assumed a plane wave, a center of rotation in ISAR geometry model can be estimated by using point target. Before image is reconstructed with sinogram, the center of rotation can be calculated by using least square fitting. This method can be obtained a more contrast image, and a maximum value of entropy of image. The method, that estimates a center of rotation in received data, will be used a initial setup of instruments or a periodic compensation to reconstruct image. It would be useful in medical, security and surveillance imaging equipments that have a fixed geometry.