• Journal of Preventive Medicine and Public Health
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• 제54권2호
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• pp.129-136
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• 2021

Objectives: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. Methods: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. Results: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were-in descending order of frequency-insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. Conclusions: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.173-183
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• 2023

Recently, local governments that provide mobile-based public delivery app services have been increasing a lot. The purpose of this study is to analyze whether the restaurant self-employed's public delivery app selection attributes and public institutions' perception of support, which are under economic pressure due to the high delivery fee burden of private delivery apps, affect the intention to use public delivery app services. In this study, the degree of perception of each factor was measured using the Likert 5-point scale, and it was verified through statistical analysis using SPSS. The effect of the selection attribute of public delivery apps and the perception of self-employed people in the restaurant industry on the intention to use the service was empirically analyzed, and the hypothesis was verified using regression analysis. As a result of this study, it was confirmed that convenience, economy, and public interest had a significant effect among the factors of public app selection attributes, and educational support had a significant effect on public institution support.

• International Journal of Reliability and Applications
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• 제13권2호
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• pp.91-104
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• 2012

Sarhan and Kundu (2009) introduced a new distribution named as the generalized linear failure rate distribution. This distribution generalizes several well known distributions. The probability density function of the generalized linear failure rate distribution can be right skewed or unimodal and its hazard function can be increasing, decreasing or bathtub shaped. This distribution can be used quite effectively to analyze lifetime data in place of linear failure rate, generalized exponential and generalized Rayleigh distributions. In this paper, we apply the simulated annealing algorithm to obtain the maximum likelihood point estimates of the parameters of the generalized linear failure rate distribution. Simulated annealing algorithm can not only find the global optimum; it is also less likely to fail because it is a very robust algorithm. The estimators obtained using simulated annealing algorithm have been compared with the corresponding traditional maximum likelihood estimators for their risks.

• 인터넷정보학회논문지
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• 제15권5호
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• pp.33-41
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• 2014

본 연구는 효과적인 SNS의 교육적 활용 방안을 제안하고자 SNS의 사용률이 높은 대학생들을 대상으로 구체적인 SNS의 교육적 활용 방법에 대한 의견과 그 이유에 대해 조사하였다. NVivo S/W를 이용하여 개방형 응답을 분석하였으며, 교육 주체별 SNS의 교육적 활용 방법을 가시화 하고자 교수자 영역과 학습자 영역, 공통 영역으로 범주화 하였다. 그 결과 공통 영역에는 의견 교류 및 토론, 정보 공유, 학습내용에 대한 질의응답, 설문조사, 친밀감 형성, 상담 등이 포함되었으며, 교수자 영역에는 공지사항 전달, 수업자료 제공, 실시간 평가(퀴즈), 출석 체크, 과제평가 및 피드백 등이 포함되었고, 학습자 영역에는 과제활동(그룹별/개인별), 공유자료를 이용한 예습 및 복습, 동영상을 이용한 자율학습, 과제에 대한 동료평가 및 피드백, 강의 평가 등이 포함되었다.

• 인간식물환경학회지
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• 제23권4호
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• pp.433-443
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• 2020

Background and objective: The boom in urban agriculture has also resulted in the creation of many school gardens. With the increase in various hands-on education programs, people are interested in assessing the value of school gardens. This study was conducted to derive indicators for service value assessement of educational farming experience using school gardens. Methods: Through literature review, we selected assessment items and sub-factors. The indicators for evaluating the effectiveness of school gardens are classified using the Delphi method that involve a focus group experts. In order to increase the reliability and validity of the selected and classified items, an exploratory factor analysis was conducted. In addition, the relative importance and priority of each factor in each field were assessed using the analytic hierarchy process (AHP). Results: We classified the indicators into 4 criteria and come up with 13 items and 33 sub-factors in educational value, health value, economic value, and ecological and environmental value. Most of the items for the 4 value criteria derived were significant for assessing the value of agricultural experience services with content validity ratio (CVR) higher than 0.59 and reliability higher than .6 . In the value criteria, the experts rated educational value as the most important, followed by health value, ecological and environmental value, and economic value. In the assessment items, the most important was improvement of social functions. In the sub-factors, the most important was strengthening of ties (friendly interactions). Conclusion: Among the derived indicators assessing the value of school gardens, 4 criteria, 12 evaluation items and 29 sub-factors showed significance. The schematic index would be useful for the assessment.

• 사물인터넷융복합논문지
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• 제7권1호
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• pp.79-89
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• 2021

본 연구는 디지털 트랜스포메이션 시대에 사물인터넷(IoT) 기기와 서비스에 대한 정보 격차를 규명하고자 하였다. 이를 위하여 사물인터넷 기기와 서비스에 대한 미래 이슈를 전망하는 인식의 차이를 분석하고, 사물인터넷 기기와 서비스에 대한 인지도와 사용경험에 따른 디지털 기술의 필요성과 삶의 도움에 대한 차이를 분석하였다. 또한 교육수준과 교육수요를 분석하였다. 광주광역시와 전라남도에 거주자를 대상으로 2021년 2월 15일부터 3월 7일까지 설문조사를 실시하였고, 232명이 응답하였다. SPSS 21.0을 활용하여 분석하였고, 모든 통계값은 평균값으로 제시하였다. 연구 결과는 다음과 같다. 첫째, 지능정보사회 인지도에 따른 지능정보사회 미래이슈, 인공지능기기 및 서비스로 제공 받는 삶의 도움, 지능정보기술 필요성 차이를 제시하였다. 둘째, 인공지능기기의 인지도 및 사용 경험에 따른 인공지능으로 부터 제공 받는 삶의 도움 차이를 제시하였다. 셋째, 인공지능서비스의 인지도 및 사용 경험에 따른 인공지능으로 부터 제공 받는 삶의 도움 차이를 제시하였다. 넷째, 인공지능기술 인지도 및 사용 경험에 따른 필요성 차이를 제시하였다. 다섯째, 지능정보사회의 교육수준과 교육수요를 조사하여 제시하였다. 이러한 연구를 결과를 통하여 디지털 트랜스포메이션 시대에 정보 격차 해소를 위한 제언을 제시하였다.

• 한국응용과학기술학회지
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• 제38권1호
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• pp.75-87
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• 2021

본 연구는 국가지원 뷰티 관련 교육기관의 교육서비스품질이 수강생의 지각된유용성과 진로준비행동에 미치는 영향을 규명하는 것 이였다. 연구참여자는 서울·경기 소재 국비지원 교육기관(학원)에 수강자 362명을 임의표집방법으로 표집 하였다. 수집된 자료는 SPSS 통계패키지 26.0 버전을 이용하여 기술통계, 요인분석, 신뢰도분석, 상관관계분석 및 다중회귀분석을 통하여 자료를 분석하였다. 일련의 연구절차를 통하여 도출된 결과는 다음과 같다. 첫째, 교육서비스품질, 지각된 유용성 및 진로준비행동의 변인들은 상호 상관관계가 통계적 유의하게 나타내었다. 둘째, 교육서비스품질은 지각된 유용성에 통계적 유의하게 정적(+)영향이 있는 것으로 나타났다. 셋째, 교육서비스품질은 진로준비행동의 정보수집활동, 직무준비활동 요인에 통계적 유의하게 정적(+) 영향을 나타내었다. 넷째, 지각된 유용성은 진로준비행동의 정보수집활동과 직무준비활동 요인에 통계적 유의하게 정적(+) 영향이 있는 것으로 나타났다. 본 연구의 결과는 국비지원 뷰티관련 교육기관의 교육서비스품질을 재평가하여 뷰티관련 국비지원 사업의 효율성을 높이고 교육 서비스품질 향사아에 기초자료로서 활용할 수 있을 것이다.

• The Journal of Korean Physical Therapy
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• 제20권4호
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• pp.61-69
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• 2008

Purpose: We evaluated caregivers' understanding of patients' diseases and disuse syndrome, the understanding of exercise and massage related to rehabilitation and the necessity of education about these, the difference in education and realities of the care-giving field, and the extra services needed in the field. Methods: The survey using questionnaires was performed from June 2008 to August 2008 with 220 people participated in caregive education programme in daegu city and area near dagu city. Among the 220 submitted questionnaires, 184 which were faithfully answered were selected and they were analyzed by i-STATistics statistical program. Results: The educational focus of the first and second level caregivers, as defined by the second clause of the 29th article of the Elderly Welfare law, is on basic knowledge of diseases such as dementia, stroke, and depression. However, other diseases are not covered and the information does not include information on decreased function, complications, functional rehabilitating exercises, or preventing disuse syndrome for long term patients. The most common diseases, in order of prevalence, are stroke, dementia, diabetes mellitus, Parkinson disease, arthritis, and geriatric inertness. The general level of awareness about disuse syndrome was low, and patients, while understanding the need for massage and rehabilitative exercise, receive little education about the proper methods and therefore cannot use them. Patients also did not understand how participating in these activities could reduce medical fees, indicating that further education on massage and rehabilitative exercise is needed. Caregivers desired to include positive rehabilitation, massage, and exercise-related services in their services. Finally, differences in caregiver education and reality resulted from a lack of diversity in education. Conclusion: We suggest providing education on disuse atrophy and improving the lack of diversity in the care-giving education system.

• 한국문헌정보학회지
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• 제20권
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• pp.163-222
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• 1991

This dissertation are studying the conceptual structure of decision making situation in libraries, by analyzing the library function, decision makings of library and then seeking economic and efficient alternative decision making by programming the· decision making situations, and finally, introducing how to apply management information system or decision making support system. For this purpose, in order to analyzing necessary factors for the decision making system, the questionnaire used Lickert method were distributed to 400 librarians of 36 universities in Seoul by means of mail. 193 librarians, $48\%$ of the questionnaire, are returned are studied by using 'SYSTAT' statistical software to figure out the factors of the decision making system. This dissertation was put six hypotheses and tested with the returned questionnaire. The following five result can be asserted. First, to the higher degree of the librarians' participation in the important library decision makings, the quality of formal library services are improved regardless of seniority of the work. Secondly, the t-test results show that all of t-test scores of seniority of the work, educational background, and responsibilities of the work are exceeding significant level and perception of decision making was proved to be different depending on seniority of the work, educational background, and responsibilities of the work in libraries. Thirdly, as the results of factor af factor analysis, the encouragement on participation in the library academic activities, the extent to get useful information about performances of library and the improvements of library works were grouped by similar posibilities of distribution and therfore the academic activities, the collection of information and the improvement of library performances is proved to be interrelational each other. Fourthly, the fifth hypothesis of the close relationship between the decision making situation and types of advisor by it was more or less interrelational, but their relationship was not seen some significancies. Lastly, as the dynamic organization of library management forming a special commitee or a project team with librarian can improve the extent and quality of the librarian's participation in the decision making of library works, and thus library will become to performance more rational and effective library management.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.332-335
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• 2018

최근 IT분야에서는 빅 데이터를 활용한 인공지능이 크게 대두되고 있다. 이와 같이 빅 데이터를 효과적으로 처리하기 위한 서비스 또는 기술에 대하여 다양한 연구가 진행되고 있다. 교육분야에 있어서도 학생들에 대한 빅 데이터가 존재하나 이러한 데이터를 단순히 수집, 조회, 저장하는 단순처리과정을 거칠 뿐이다. 향후 인공지능이나 기계학습, 통계분석 등을 폭 넓게 이용하여 교육분야의 빅 데이터에서 의미 있는 규칙이나 패턴 및 관계를 찾아내어, 실제 학생들에게 도움이 되는 데이터를 생산 지능적인 활용이 요구되고 있다. 이에 따라서 본 연구에서는 학생들의 수업 관찰을 통한 데이터를 의사결정트리 알고리즘을 이용하여 학생들의 진로를 예측하는 프로그램을 설계하고자 한다. 진로예측 프로그램을 통하여 학생들의 상담에 활용 진로를 제시하고 또한 희망 진로에 따른 수업 태도 및 방향을 제시하는데 도움이 될 것으로 사료된다.