• 한국병원경영학회지
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• 제24권2호
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• pp.38-55
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• 2019

Purpose / Approach : This study aims to analyze the level of public service motivation and its antecedents by using survey data of 1,498 professional employees in public and private hospitals. Findings : Among job-related, organization-related, and socialization-related factors of professional employees, the socialization factors have a strong effect on individual's overall and the four sub-dimensions of public service motivation. While the effect of organizational identification is prominent in the public hospital, professional identification is more powerful in the private hospital. Person-job fit and person-organizational value fit also play a significant role in determining public service motivation. Organizational vision salience in public hospital has negative effect on public service motivation and attraction-to-public-service dimension. The significant determinants and its effect size are different according to hospital type and each sub-dimension of public service motivation. Practical Implications : The empirical findings show that individual's level of public service motivation in hospitals could be enhanced through the interaction between individual and their organization, and various organization-related factors. Further implications of the study are discussed from human resource management perspective in hospitals.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.109-119
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• 2015

The interaction between wireless sensors such as Internet of Things (IoT) and Cloud is a new paradigm of communication virtualization to overcome resource and efficiency restriction. Cloud computing provides unlimited platform, resources, services and also covers almost every area of computing. On the other hand, Wireless Sensor Networks (WSN) has gained attention for their potential supports and attractive solutions such as IoT, environment monitoring, healthcare, military, critical infrastructure monitoring, home and industrial automation, transportation, business, etc. Besides, our virtual groups and social networks are in main role of information sharing. However, this sensor network lacks resource, storage capacity and computational power along with extensibility, fault-tolerance, reliability and openness. These data are not available to community groups or cloud environment for general purpose research or utilization yet. If we reduce the gap between real and virtual world by adding this WSN driven data to cloud environment and virtual communities, then it can gain a remarkable attention from all over, along with giving us the benefit in various sectors. We have proposed a Pub/Sub-based sensor virtualization framework Cloud environment. This integration provides resource, service, and storage with sensor driven data to the community. We have virtualized physical sensors as virtual sensors on cloud computing, while this middleware and virtual sensors are provisioned automatically to end users whenever they required. Our architecture provides service to end users without being concerned about its implementation details. Furthermore, we have proposed an efficient content-based event matching algorithm to analyze subscriptions and to publish proper contents in a cost-effective manner. We have evaluated our algorithm which shows better performance while comparing to that of previously proposed algorithms.

• 보건행정학회지
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• 제19권4호
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• pp.121-139
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• 2009

Objectives : The purpose of this study was to investigate regional commitment index(RGI) of hospital in Korea, and the relationship RGI and hospital characteristics, such as foundation, region, size. Therefore, we are to suggest fundamental information to make and evaluate healthcare resource policy in hospital- and government-level. Methods : The 'Patient Survey 2002(administered by Ministry of Health and Social Welfare(MOHW)' was analyzed. We selected the patient data of the hospitals above 100 beds. Then, we calculated the RGI, number of same cases divided by all cases in each hospital. By using SPSS/win ver 14.0, statistical analysis such as t-test, ANOVA, correlational and regression analysis was carried out. Results : The results are as follows. 1. Overall mean and standard deviation of RGI were revealed as 0.805${\pm}$0.225 in inpatients, and 0.871${\pm}$0.184 in outpatient. The median of inpatients' and outpatients' RGI were 0.890 and 0.933. The RGI of inpatients of private hospitals were revealed significantly higher than that of the public(public: 0.727, private: 0.822). However, outpatients' RGI was not revealed as significantly different. 2. The RGI of general specialty hospitals were significantly lower than others, therefore we could think that more inpatients and outpatients of general specialty hospitals flowed in from others province or metropolitan cities than other hospital types. 3. The RGI of hospitals holding above 400 beds were significantly lower than others in inpatients and outpatients. 5. The RGI of hospitals were significantly different among sixteen province and metropolitan cities. The RGI inpatients of Gwangju and Daejon metropolitan city were lowest sub-group(0.659, 0.664), and the RGI inpatients of Jeju was revealed as highest, 0.979. 6. Available beds, total doctors, and total employees were negatively correlated with RGI of inpatients and outpatients. 7. The significant influencing factors to RGI of inpatients and outpatients were appeared samely such as available beds, wide healthcare region, hospital size, and foundation type. Conclusions : It is considered that RGI of hospital represent competitive power in healthcare market. Also, the competitive advantage and quality of hospital clustered by characteristics could made out by RGI. Therefore, the results of this study would be useful to develop and evaluate hospital policy of individual hospital or local government.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.701-705
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• 2011

RFID is a widely adopted in the field of identification technology these days. Radio Frequency IDentification (RFID) has wide applications in many areas including manufacturing, healthcare, and transportation. Because limited resource RFID tags are used, various risks could threaten their abilities to provide essential services to users. A number of RFID protocols have done by researcher in order to protect against some malicious attacks and threat. Existing RFID protocols are able to resolve a number of security and privacy issues, but still unable to overcome other security & privacy related issues. In this paper, we analyses security schemes and vulnerability in RFID application. Considering this RFID security issues, we survey the security threats and open problems related to issues by means of information security and privacy. Neither a symmetric nor an asymmetric cryptographic deployment is necessarily used with light weighted algorithm in the future.

• 한국병원경영학회지
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• 제15권1호
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• pp.13-26
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• 2010

A Health Promotion Center (HPC) whose capacity is partially idle causes inefficiency in resource usage of a country as well as the hospital itself. Meanwhile, Increased demand in HPC would lead to increased revenue for the HPC as well as reduced national expenditures on healthcare. We introduced a way to enhance revenue by Revenue Management (RM) on HPC services, in which demand forecasting and pricing strategies are considered. In addition, a real data analysis had been performed to evaluate the usefulness of the proposed approach.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 추계학술발표대회
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• pp.721-724
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• 2006

최근 인간 유전체 연구에 대한 관심이 증대되어 유전자원 정보에 대한 효율적 활용을 위한 정보 수집 및 관리 활동이 지속적으로 이루어지고 있다. 그러나 현재까지 연구된 보건의료분야 표준 코드체계들은 유전자원 정보 식별을 위한 적합한 표현방법을 고려하지 않아 유전자원 정보관리에 적용하기 어려운 문제점을 갖고 있으며, 현재 사용되는 식별체계 또한 기관에 따라 자체적으로 운영되고 있는 것이 현실이다. 따라서 이 논문에서는 보건의료 정보 관리에 적용되는 국내 외 표준 코드체계를 분석하고 유전자원 표준 코드체계 설계를 위한 정보 요구사항 및 기본방향을 제시하였다.

• International journal of advanced smart convergence
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• 제7권4호
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• pp.1-9
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• 2018

With developments in science and technology and improvement in living standards, human life expectancy is steadily increasing worldwide. For effective healthcare, it is necessary to check health conditions according to individuals' behavior and acquire prior knowledge on possible diseases. In this study, we classified the diseases that are major causes of death in Korea by referring to data provided by the Korea National Health and Nutrition Examination Survey. We selected indexes that could be used as indicators of major diseases and created the LCBB-SC. In the LCBB-SC, the data are systematically subdivided into related fields to provide integrated data related to each disease and to provide an infrastructure that can be used by researchers. In addition, by developing a web interface allowing for self-symptom assessments, this resource will be beneficial to people who want to check their own health condition using a list of diseases that might be caused by their behaviors.

• Journal of Preventive Medicine and Public Health
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• 제54권1호
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• pp.81-84
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• 2021

The delivery of high-quality antenatal care is a perennial global concern for improving maternal and neonatal outcomes. Antenatal care is currently provided mainly on a one-to-one basis, but growing evidence has emerged to support the effectiveness of group antenatal care. Providing care in a small group gives expectant mothers the opportunity to have discussions with their peers about certain issues and concerns that are unique to them and to form a support system that will improve the quality and utilization of antenatal care services. The aim of this article is to promote group antenatal care as a means to increase utilization of healthcare.

• Parasites, Hosts and Diseases
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• 제58권2호
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• pp.147-152
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• 2020

Malaria is a potent burden on public healthcare worldwide due to requiring rapid diagnosis and treatment. Nowadays, prompt diagnosis with rapid diagnostic tests (RDTs) has been widely accepted as an effective diagnostic technique in malaria-endemic countries, primarily due to their easy operation, fast output, and straightforward interpretation. The global availability and use of RDTs have gradually grown over recent decades as field-applicable diagnostic tests for the reliable confirmation of malaria infection and proper case management. This study was conducted to evaluate diagnostic performance of 3 commercially available malaria RDT kits : BIOCREDIT^TM Malaria Ag Pf(pLDH), Malaria Ag Pf(pLDH/pHRPII), and Malaria Ag Pf/Pv(pLDH/pLDH) (where pLDH and pHRPII stand for plasmodium lactate dehydrogenase and histidine-rich protein 2, respectively) for the specific detection of Plasmodium falciparum. A total of 1,129 blood samples including 95 blood samples, confirmed as vivax malaria infection by microscopic examinations and a nested-PCR method, were tested for falciparum malaria infection. The overall sensitivity and specificity of Malaria Ag Pf(pLDH/pHRPII), Malaria Ag Pf/Pv(pLDH/pLDH), and Pf(pLDH) for P. falciparum were 99.0% and 100%, 95.8% and 100%, and 100% and 100%, respectively. It is proposed that the 3 RDT kits perform reliable level of diagnostic accuracy of detection for P. falciparum parasites.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권4호
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• pp.163-168
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• 2022

클라우드 컴퓨팅과 사물인터넷의 대중화에 따라 사물인터넷 컴퓨팅 환경에 존재하는 인터넷 연결이 가능한 장치들의 수가 점차 증가하고 있다. 또한 스마트홈, 헬스케어 등 사물인터넷을 이용한 다양한 인터넷 응용이 많아짐에 따라 통신 지연 및 연산의 신뢰성과 같은 지표의 서비스품질과 관련된 연구들이 진행되고 있다. 사물인터넷 응용의 서비스품질 향상을 위해 중앙집중형 클라우드 서버에 연결하기 보다 장치와 가까이 존재하고 중앙집중형 클라우드 서버와의 오프로드(offload) 협업을 위해 에지 컴퓨팅(edge computing)이 결함된 클라우드-포그 컴퓨팅 환경이 주목을 받고 있다. 하지만 클라우드-포그 컴퓨팅 환경에서 장치들이 이동성을 특성을 가질 때 사물인터넷 응용 서비스의 연속성이 떨어지고 서비스품질 수준이 저하되는 문제점이 발생하고 있다. 이 논문에서는 에지 기반 포그 컴퓨팅 환경에서 이동성 지원을 위한 라이브 마이그레이션 기반 자원 관리 기법을 제안한다. 제안하는 자원 관리 알고리즘은 사용자의 이동성 방향과 속도를 기반으로 일정 시간 뒤의 위치를 예측하고 이를 기반으로 라이브 마이그레이션을 통해 사물인터넷 서비스 이주를 지원한다. 성능 평가를 통해 제안하는 자원 관리 알고리즘의 효용성을 측정하였으며, 성능 실험에서 정지시간(downtime)과 서비스 작업의 신뢰성이 크게 향상됨을 보였다.