• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.284-292
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• 2017

With the development of Internet of Things (IoT) technology, the combination of ICT and medical services has been increasing to improve the quality of medical services. Using the IoTs, we can collect personal health information continuously in a patient's everyday life. We expect that this will improve the quality of medical service through analysis. However, the problem of ensuring the protection of personal information within the personal health information has been hampering the research, development, and application of such services. Other problems include lack of IoT devices and lack of user convenience for collecting health information about a patient's everyday life. Therefore, in this study, we construct a daily health information management service that can collect the health related information at any time and store this data in personal storage. This data is then only provided to the healthcare worker when necessary. We built a test bed for an IoT-based smart home platform and are currently conducting user experiments. Based on the results of this study, we are attempting to provide a high quality medical trial service based on daily health information through linkage with medical device manufacturers, medical clinics, insurance companies, etc. We expect the proposed health information management service will contribute to the revitalization of smart health care services via activating various health related IoT devices and analyzing daily health information.

• Journal of radiological science and technology
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• v.37 no.3
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• pp.169-175
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• 2014

According to database of medical institutions of health insurance review & assessment service in 2013, 1118 hospitals and clinics have department of radiology in Korea. And there are CT, fluoroscopic and general radiographic equipment in those hospitals. Above all, general radiographic equipment is the most commonly used in the radiology department. And most of the general radiographic equipment are changing the digital radiography system from the film-screen types of the radiography system nowadays. However, most of the digital radiography department are used the film-screen types of the radiography system. Therefore, in this study, we confirmed present conditions of technical items for general radiography used in hospital and research on general radiographic techniques in domestic medical institutions. We analyzed 26 radiography projection method including chest, skull, spine and pelvis which are generally used in the radiography department.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.45 no.1
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• pp.1-7
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• 2008

Today, Korean medical community faces rapid changes in medical environment due to opening of medical market, more emphasis on making profit and introduction of private medical insurance. Therefore, it is apparent that around, major university hospitals, efforts are being made to adapt to such changes by establishing mid to long range strategic plans. We want to keep pace with changing times and diverse demand of patients by introducing state of the art system, utilizing Ubiquitous technologies for improvements. In doing so, we want to distinguish our hospital services from others. However, Hospital Information System that integrates ubiquitous technologies are introduced in limited basis due to problems like standardization and limits on medical use etc. Particularly, problems like absence of tag design suitable for medical environment, compatibility and extension issue with RFID system need to be addressed on application of RFID technologies. In order to solve such problems, this paper implemented RFID tag system, RFID-SIP UA program, location tracking program. This paper provides a comprehensive basic review of RFID and SIP model suggests the evolution direction of further advanced RFID application service. The design of RFID-SIP application offers advance RFID system with drawback and reduction search time of medical object. so there is a improvement of hospital information system in ubiquitous environment.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.219-225
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• 2020

With the aging population, the prevalence of musculoskeletal disorders in the elderly continues to increase. In addition, musculoskeletal disorders are the third most common social and economic loss among occupational illnesses in Workers' compensation insurance benefits as of 2015 standard and are also common among workers. In this study, a vest that can assist in the prevention and treatment of musculoskeletal disorders of the waist was produced, and it is intended to confirm the presence or absence of the effect through experiments. Diseases of the waist are closely related to core muscles. Therefore, the produced vest was made in a form that supports the core muscles. Before and after wearing the vest for effectiveness verification, the While performing 10-times of the Mackenzie exercises, a waist extension exercise, collected the EMG data of the internal oblique, Rectus abdominis, and Erector spinae, which correspond to the core muscles. The collected data were analyzed through the electromyography analysis program RM-3 to obtain RMS values for 10-times measurements of each muscle and to compare the average values. After comparing the data, to verify the significance, the technical statistical value of the measurement result was calculated and the average difference was verified through PASW ver18.0, And the paired t-test is performed on the experimental results to perform statistical processing. and Statistical processing was performed by setting the significance level to α=.05.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.2
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• pp.87-96
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• 2023

Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specific conditions. In this study, in order to generalize the research results, patients were further expanded and subdivided to derive the results of a study predicting mortality after lung cancer diagnosis for men and women in their 80s, 90s, and 100s. Using AutoML, which provides large-scale medical information and various deep learning algorithms from the Health Insurance Review and Assessment Service, five algorithms such as Decision Tree, Random Forest, Gradient Boosting, XGBoost, and Logistic Registration were created to predict mortality rates for 84 months after lung cancer diagnosis. As a result of the study, men in their 80s and 90s had a higher mortality prediction rate than women, and women in their 100s had a higher mortality prediction rate than men. And the factor that has the greatest influence on the mortality rate was analyzed as the treatment period.

• Korean Journal of Remote Sensing
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• v.39 no.5_4
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• pp.1075-1084
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• 2023

Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.155-166
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• 2008

The Equipment Expenses section of the Poom-Saem that is used for Construction Cost Estimation of public sectors in Korea has been rarely revised, and so does not reflect changes of Construction Equipment technology and construction methods, since it was established based on data from Japan and the U.S in the early 1960s. In order to make reasonable estimation of equipment expenses for a bulldozer and a loader, the domestic and overseas documentary records were investigated. Further, 16 construction sites were visited, and 20 Construction Equipment leasing services were surveyed. The optimum level of each item which consists of equipment costs was revealed based on the result of the analysis on the figures of equipment costs calculation from the Poom-Saem and the collected data. The research will be the foundation for applying the rapid development of Construction Equipment and technology to the appropriate cost estimations and the ground work of related studies.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.2
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• pp.45-59
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• 2011

Objective : he aim of this study is to describe on the definition of the welfare state and scope of the social welfare and to analyze the development of the social welfare policy for the disabled in South Korea. Methods : We described on the definition of the welfare state and scope of the social welfare and analyzed the social welfare policy and welfare policy for the disabled among Korean Government through literature review. Finally, We also analyzed the welfare policy for the disabled in the Roh Moo-hyun Administration. Results : Welfare policy or welfare policy for the disabled was developed as economic growth from 'selective welfare' to 'universal welfare'. Scope of the social welfare was expanded from 'minimum guarantee' of the Lee seong-man administration to 'participatory welfare' of the Roh moo-hyun administration and that was similar to the welfare policy of administration for the disabled. Conclusion : We suggest that occupational therapist based community should find unmet health need and provide home-based rehabilitation services to the disabled and the elderly.

• The Journal of Fisheries Business Administration
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• v.32 no.1
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• pp.41-55
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• 2001

본 논문의 목적은 김 양식 있어서 무기산 또는 유기산 사용 문제와 김 양식 어업인들의 생산위험 회피행위를 고찰하기 위한 이론적 틀을 개발하고, 정책함의를 도출하는데 있다. 김 양식의 생산위험 또는 가격위험은 김 양식 어업인들이 직면하고 있는 가장 중요한 의 사길정변수라고 할 수 있으며, 특히 문제가 되고 있는 무기산(또는 폐염산) 또는 유기산은 농업에 있어서 농약처럼 김 양식 어업인들이 생산위험을 최소화하기 위한 일종의 보험 생산요소(insurance production inputs)으로 볼 수 있다. 김 양식 어업인들의 생산위험은 평균(1차 적률 mean), 분산(2차 적률 variance), 왜곡도(3차 적률 skewnesss)에 의해 측정될 수 있으며, 특히 김 양식 어업인들은 확률이 낮을지라도 일단 첫병과 잡태(예: 파래 등)가 광범위하고 심각하게 발생하게 되면 생산물의 심각한 질적 저하가 야기된다는 사실을 경험적으로 인식하고 있다. 따라서 김 양식 어업인들은 평균생산 뿐만 아니라 생산의 분산과 하향성 확률 분포를 최소화할 수 있는 생산기술을 이용하게 된다. 이러한 김 양식 어업인들의 위험회피행위를 분석하기 위해 기대효용이론을 채택하고, 미지의 진효용함수를 테일러 시리즈 확장에 의해 3차 적률까지를 근사치로 이용하였다. 이윤에 대한 기대효용 극대화를 위한 1차 최적조건을 구하면, 어떤 산(무기산 또는 유기산)을 얼마만큼 이용하느냐 하는 문제는 생산량의 분산과 하향성 분포에 대한 김 양식 어업인들의 위험회피계수의 크기와 생산요소의 탄성치에 의해 결정된다. 특히 하향성 위험회피계수가 높고 3차 적률에 대한 생산요소 산의 탄성치가 클 경우 김 양식 어업인들른 하향성 위험을 줄이기 위해 상대적으로 강력하고 가격이 저렴한 산을 더 많이 이용하게 된다. 또한 두 가지 산의 효과가 같다면 무기산/유기산의 시장가격과 정부 산 가격 정책이 김 양식 어업인들의 산 종류 선택과 사용량 결정에 유의한 영향을 미치게 될 것이다. 무기산의 사용이 광범위하고 집약적으로 이루어질 경우 김 양식부문에서 폐공업용 염산 이용에 의한 생산위험 감소는 해양생태환경 파괴위험 증가로 이어질 수 있으며 여기에 바로 정부 산정책의 딜레마가 있다. 따라서 김 양식의 생산성 증대와 환경보전의 균형 유지에 대한 확고한 정책목표가 필요하며, 이러한 정책목표가 흔들릴 경우 산 문제에 대한 정부정책은 생산성 증대와 환경보전 어느 한쪽 부문에 심각한 왜곡현상을 초래할 수 있다.