• 보건행정학회지
• /
• 제21권1호
• /
• pp.115-131
• /
• 2011

Several common issues are encountered by countries - Germany, Japan, and the United States - that adopted long-term care (LTC) system. First, the demand for LTC and its associated costs have steeply risen following the implementation of the LTC policy. Second, ensuring the quality of services have been difficult. Third, the coordination of services among providers and between LTC and medical care has been inadequate. Learning from their experience, we suggest ways to improve the LTC system in Korea. The basic approach aims for efficiency over equity in the system. This would require promoting provider competition and consumer choice. We propose several policy options according to the major stakeholders. For consumers, cash benefits at fixed rates and personal savings accounts are feasible options to self-contain the demand and cost of services. On the insurer's side, creating an environment of multiple insurers will engender competition, leading to cost savings and quality care. For providers, delivery of quality services through competition, cost-containment through capitated reimbursements, and coordination of services through integrated delivery system can be achieved. From the assessors' perspective, establishing an information system to monitor the activities of insurers and providers would be important, empowering consumers with information to choose cost-effective service providers. In summary, the suggested approach would provide cost-effective LTC services by guaranteeing consumer choice and promoting major stakeholder accountability. Further studies are needed to test the feasibility of this model in ensuring quality LTC in Korea.

• 지식경영연구
• /
• 제20권3호
• /
• pp.155-171
• /
• 2019

In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

• 지역사회간호학회지
• /
• 제25권4호
• /
• pp.270-281
• /
• 2014

Purpose: The purpose of the study was to understand low-income elders' experiences of community-based u-Health services. Methods: Qualitative data were collected from 11 participants. All interviews were recorded and transcribed verbatim. The transcribed data were analyzed using qualitative content analysis. Results: Three themes and eight sub-themes emerged as a result of analysis. The three main themes were 'recovered confidence and health condition,' 'trial and error in change,' and 'hope.'The eight sub-themes were 'the burden and efforts to overcome it in using bio-signal device,' 'ambivalence due to changing lifestyle,' 'increase of care time, decrease of pressure', 'conflict under environmental constraints,' 'difficulty in prioritizing health management,' 'discouragement in handling new devices,' 'desire not to be a burden to their children-gradual fulfillment of learning needs,' and 'long for broadening coverage range of services.' Conclusion: The findings of this study demonstrate that low-income elders among the participants have different needs in using u-Health services. Therefore, health professionals need to give personalized education to deal with their conflicts and requirements, especially emotional and environmental support in order for them to successfully accept the u-Health services for self-care.

• International Journal of Computer Science & Network Security
• /
• 제22권6호
• /
• pp.390-399
• /
• 2022

Cyber security and resilience are phrases that describe safeguards of ICTs (information and communication technologies) from cyber-attacks or mitigations of cyber event impacts. The sole purpose of Risk models are detections, analyses, and handling by considering all relevant perceptions of risks. The current research effort has resulted in the development of a new paradigm for safeguarding services offered online which can be utilized by both service providers and users. customers. However, rather of relying on detailed studies, this approach emphasizes task selection and execution that leads to successful risk treatment outcomes. Modelling intelligent CSGs (Cyber Security Games) using MLTs (machine learning techniques) was the focus of this research. By limiting mission risk, CSGs maximize ability of systems to operate unhindered in cyber environments. The suggested framework's main components are the Threat and Risk models. These models are tailored to meet the special characteristics of online services as well as the cyberspace environment. A risk management procedure is included in the framework. Risk scores are computed by combining probabilities of successful attacks with findings of impact models that predict cyber catastrophe consequences. To assess successful attacks, models emulating defense against threats can be used in topologies. CSGs consider widespread interconnectivity of cyber systems which forces defending all multi-step attack paths. In contrast, attackers just need one of the paths to succeed. CSGs are game-theoretic methods for identifying defense measures and reducing risks for systems and probe for maximum cyber risks using game formulations (MiniMax). To detect the impacts, the attacker player creates an attack tree for each state of the game using a modified Extreme Gradient Boosting Decision Tree (that sees numerous compromises ahead). Based on the findings, the proposed model has a high level of security for the web sources used in the experiment.

• 한국정보통신학회논문지
• /
• 제16권12호
• /
• pp.2657-2664
• /
• 2012

웹 기반 학습은 시간과 공간의 제약을 받지 않고 활용될 수 있다는 점에서 효과적인 교육 방법으로 많은 관심을 받고 있다. 학습관리시스템은 교수와 학생들 간의 온라인 교육 환경을 제공하며, 학습 자원의 제공을 위한 다양한 기능을 지원한다. 일반적인 학습관리시스템들은 교수와 학생들 간의 단방향 또는 제한적인 양방향 교육 환경을 제공하여 교수와 학생 또는 학생들 서로 간에 협력 학습을 수행하기에 많은 어려움이 따른다. 본 논문에서는 대표적인 학습관리시스템인 Moodle에서 효과적인 협력 학습 환경을 제공하는 협업 워크스페이스의 개발에 대하여 기술한다. 다양한 형태로 제공되는 협업 워크스페이스를 통하여, 사용자들은 손쉽게 협력 학습을 수행하거나 적절한 접근 권한 제어 기법으로 학습 자원을 효과적으로 공유할 수 있다.

• 컴퓨터교육학회논문지
• /
• 제9권6호
• /
• pp.65-78
• /
• 2006

유비쿼터스 사회(Ubiquitous Society)의 핵심기술인 RFID(Radio Frequency Identification)를 물류, 유통, 교통, 의료 등 다양한 분야에서 개발, 적용하는 연구가 활발하게 진행되고 있다. RFID를 이용하여 u-Campus, u-Library 등 유비쿼터스 교육환경을 마련해주는 연구들은 있으나 직접적으로 학습에 적용한 연구는 아직 미미한 실정이다. 따라서 본 연구에서는 RFID 태그와 리더의 무선통신 기술을 이용하여 학습자의 위치와 상황을 인지하고 그에 부합하는 영어 상황학습 서비스를 제공하고자 한다. RFID 시스템을 이용하기 위해 본 연구에서 제안하는 RFID 미들웨어는 기존의 범용 RFID 미들웨어와 달리 PDA 기반에서 동작하는 모바일 RFID 미들웨어로 필수 API를 중심으로 최적화하여 개발하였다.

• 정보교육학회논문지
• /
• 제16권1호
• /
• pp.81-89
• /
• 2012

스마트러닝 품질은 전통적인 교육보다 복잡하고 다양한 요인으로 구성된다. 본 논문에서는 스마트러닝 품질을 콘텐츠, 시스템, 서비스측면에서 살펴보고 문헌연구와 표적집단면접법(FGI)에 의해서 스마트러닝 품질요인을 분류하였다. 설문조사는 리커트식 5점 척도에 의하여 사용자들이 품질요인의 만족도와 중요도를 상대적으로 평가하도록 하였다. 설문지는 39문항으로 구성하였으며 불성실하게 응답한 설문지 8부를 제외하고 112부가 최종분석을 위하여 활용되었다. 수집된 데이터는 SPSS 18.0을 활용하여 통계적으로 분석되었으며, 실증적 검증을 위해서 중요도-만족도 분석이 활용되었다.

• 미래기술융합논문지
• /
• 제1권2호
• /
• pp.01-09
• /
• 2022

최근 기업과 공공기관에서 안전 이슈는 더는 미룰 수 있는 상황이 아니며, 대형 안전사고가 발생했을 때 직접적인 금전적 손실뿐 아니라 해당 기업 및 공공기관에 대한 사회적 신뢰가 함께 떨어지는 간접적인 손실도 매우 커진다. 특히 사망 사고의 경우는 더욱 피해가 심각하다. 이에 따라 기업 및 공공기관은 산업 안전 교육과 예방에 대한 투자를 확대함에 따라, 고위험 상황이 존재하는 산업현장에서 사용자 행동반경에 영향을 받지 않고 안전관리 서비스가 가능한 개방형 AI 학습모델 생성 기술, 에지단말간 AI협업 기술, 클라우드-에지단말 연동 기술, 멀티모달 위험상황 판단기술, AI 모델 학습 지원 기술을 이용한 시스템 개발이 이루어지고 있다. 특히 인공지능 기술의 발전과 확산으로 안전 이슈에도 해당 기술을 적용하기 위한 연구가 활발해지고 있다. 따라서 본 논문에서는 고위험 현장 안전관리를 위해 AI 모델 학습 지원이 가능한 개방형 클라우드 플랫폼 설계 방안을 제시하였다.

• International journal of advanced smart convergence
• /
• 제12권4호
• /
• pp.208-216
• /
• 2023

The purpose of our study is to design datasets for Artificial Intelligence learning for cold sea fish farming. Salmon is considered one of the most popular fish species among men and women of all ages, but most supplies depend on imports. Recently, salmon farming, which is rapidly emerging as a specialized industry in Gangwon-do, has attracted attention. Therefore, in order to successfully develop salmon farming, the need to systematically build data related to salmon and salmon farming and use it to develop aquaculture techniques is raised. Meanwhile, the catch of pollack continues to decrease. Efforts should be made to improve the major factors affecting pollack survival based on data, as well as increasing the discharge volume for resource recovery. To this end, it is necessary to systematically collect and analyze data related to pollack catch and ecology to prepare a sustainable resource management strategy. Image data was obtained using CCTV and underwater cameras to establish an intelligent aquaculture strategy for salmon and pollock, which are considered representative fish species in Gangwon-do. Using these data, we built learning data suitable for AI analysis and prediction. Such data construction can be used to develop models for predicting the growth of salmon and pollack, and to develop algorithms for AI services that can predict water temperature, one of the key variables that determine the survival rate of pollack. This in turn will enable intelligent aquaculture and resource management taking into account the ecological characteristics of fish species. These studies look forward to achievements on an important level for sustainable fisheries and fisheries resource management.

• 한국응급구조학회지
• /
• 제18권3호
• /
• pp.91-104
• /
• 2014

Purpose: This study aimed to confirm the effects of a simulation-based program on knowledge and clinical performance in the post-operative management of emergency patients. Methods: This was a pre- and post-research design with a nonequivalent control group and randomly sampled 29 experimental and control groups, respectively from nursing department juniors for 4 weeks from September of 2014. The experimental group received lectures, team study, team simulation, and debriefing in post-operative management of simulation-based emergency patients and control group conducted in the traditional lecture-type setting. Educational learning effects were measured by using the knowledge and clinical performance measurement tools of 15 and 20 items, respectively. Data were analyzed by using the SPSS program, including frequency, ratio, and results from the Chi-square test, Fisher's exact test, Kolmogorov-Smirnov test, t-test. Results: Our research results indicate that, the experimental group showed significantly higher knowledge and clinical performance score compared with the control group. Conclusion: We confirmed that education on post-operative management of simulation-based emergency patients was an effective educational method to improve the knowledge and clinical performance of nursing students.