• 보건행정학회지
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• 제25권3호
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• pp.229-239
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• 2015

Background: The hospital accreditation program in Korea has been conducted since 2011 in order to improve patient safety and healthcare service quality. This study was conducted to find factors associated with satisfaction as surveyor and reliability of surveyors in hospital accreditation program. Methods: This study was performed targeting 217 responded to the survey among 412 surveyors who had participated in the accreditation survey for acute care hospitals from December 2010 to February 2014. Results: The average number of survey per surveyor is 2.35. We divided surveyors into those who participated in the survey more than 3 times and less than 3 times in order to judge the professionalism of surveyors according to the number of survey participation. Those factors that have an influence on the satisfaction as surveyors include: activity period as surveyor, role in the survey team, experience of survey in other fields, experience as consultant and the useful education and proper composition of survey team (p<0.05). Those factors that have an influence on the reliability for fellow surveyors include: number of beds of hospitals they belong, experience of survey in other fields, useful education, proper composition of survey team and difficulty in leadership interview (p<0.05). Conclusion: It is important to provide useful education and proper composition of survey team to increase the satisfaction as surveyors and the reliability for fellow surveyors.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.76-78
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• 2019

Sampling-based algorithms are one of the most commonly approaches which give good results in robot path planning with many degree of freedom. So that many proposed methods as well as their improvement based on these approaches have been proposed. The purpose of this paper is to survey some current algorithms using for path planning, the original proposed methods as well as their improvement. Some advantages and disadvantages of these algorithms will be also mentioned, how the improved version of the proposed methods overcome the original proposed methods' drawback.

• 대한임베디드공학회논문지
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• 제16권5호
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• pp.215-223
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• 2021

3D data can be categorized into two parts : Euclidean data and non-Euclidean data. In general, 3D data exists in the form of non-Euclidean data. Due to irregularities in non-Euclidean data such as mesh and point cloud, early 3D deep learning studies transformed these data into regular forms of Euclidean data to utilize them. This approach, however, cannot use memory efficiently and causes loses of essential information on objects. Thus, various approaches that can directly apply deep learning architecture to non-Euclidean 3D data have emerged. In this survey, we introduce various deep learning methods for mesh and point cloud data. After analyzing the operating principles of these methods designed for irregular data, we compare the performance of existing methods for shape classification and segmentation tasks.

• Imaging Science in Dentistry
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• 제53권1호
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• pp.35-42
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• 2023

Purpose: This study investigated the current dental radiology reporting methods and the recording rate of 10 mandatory reporting items in Korea. Materials and Methods: An original online survey created using Google Forms was distributed to dental practitioners. The survey asked about the participants' age, experience, workplace, use of radiologic equipment, radiology reporting methods, and recording reporting items. Results: In total, 354 responses were analyzed. Radiologic reporting in dental charts was the most commonly used method for each modality. Four out of 10 mandatory items were recorded at a high rate, but the remaining 6 items had substantially lower recording rates, often below 50%. The participants who reported radiographic findings through other separate methods had higher item scores than those who wrote findings in dental charts(P<0.05). Conclusion: Radiologic societies and dental associations should encourage the use of separate reports for radiographic examinations. Education regarding radiology reports and the justification for reporting items should be reinforced in dental schools, training courses on radiology, and the continuing education curriculum.

• Journal of Preventive Medicine and Public Health
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• 제31권4호
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• pp.875-884
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• 1998

Missing observations are common in medical research and health survey research. Several statistical methods to handle the missing data problem have been proposed. The EM algorithm (Expectation-Maximization algorithm) is one of the ways of efficiently handling the missing data problem based on sufficient statistics. In this paper, we developed statistical models and methods for survey data with multivariate missing observations. Especially, we adopted the EM algorithm to handle the multivariate missing observations. We assume that the multivariate observations follow a multivariate normal distribution, where the mean vector and the covariance matrix are primarily of interest. We applied the proposed statistical method to analyze data from a health survey. The data set we used came from a physician survey on Resource-Based Relative Value Scale(RBRVS). In addition to the EM algorithm, we applied the complete case analysis, which uses only completely observed cases, and the available case analysis, which utilizes all available information. The residual and normal probability plots were evaluated to access the assumption of normality. We found that the residual sum of squares from the EM algorithm was smaller than those of the complete-case and the available-case analyses.

• 품질경영학회지
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• 제44권4호
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• pp.799-811
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• 2016

Purpose: The conjoint analyst in marketing are interested in detecting whether there exist synergy or antagonistic effects between two attributes. In the cases where attributes have two or three levels, we research on the design of survey questionnaire to estimate all the main effect and as many two factor interaction effects as possible. Methods: We consider the balanced incomplete block (BIB) mixed level factorial design $2^f{\times}3^g$ or fractional factorial design. To reduce the number of questions in a questionnaire, we propose the balanced incomplete block mixed level design with minimum aberration which is generated by implementing proc factex in SAS. Also, we propose using two or three level BIB factorial design instead of mixed level designs by transforming three level attributes into two attributes of two levels and two level attribute into three level attribute by using dummy level technique. Results: We propose three methods for designing survey questionnaire where the block and design generators are found with practical number of questions in a questionnaire. By analyzing all the respondents survey data generated by the simulation study, we find the proper model and do the concepts optimization. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that the proper model, and then the optimal concept is found in a case study where all the respondents survey data are generated by the simulation study.

• 수산해양기술연구
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• 제57권4호
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• pp.351-364
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• 2021

In this study, the vertical distribution of giant jellyfish analyzed echo counting method and such survey methods as sighting and trawl were used to compare its density estimates. In May and July 2021, surveys were conducted in the East China Sea and the coastal waters of Korea. As a result, Nemopilema nomurai were evenly distributed in all water layers in East China Sea in May and July. When considered the correlation by each survey methods, it is possible to identify jellyfish in the surface area by sighting method and using sampling net; however, it has a low correlation with acoustic estimates due to marine environmental factor such as weather condition, wind and atmospheric pressure. Therefore, the result can be utilized by basic data when estimating jellyfish's distribution patterns and density estimates from each survey methods hereafter.

• 한국임상약학회지
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• 제32권2호
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• pp.84-92
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• 2022

Background: Topical corticosteroids (TCs) are available both as over-the-counter drugs and prescription medicines at pharmacies. Although they are generally safe drugs, inappropriate and excessive use could result in potential side effects. Thus, it is important to have appropriate knowledge regarding the use of TCs. We performed a cross-sectional survey to assess public knowledge and the potential misuse or overuse of TCs. Methods: A cross-sectional and nationwide online survey was conducted among participants who were aware of TCs. The survey items included sources of information, indications, potential side effects, and methods of application of TCs. A comparative analysis was conducted between those with (TC users) and without (TC non-users) an experience of using TCs. Results: Among 3,000 participants, 74.4% were TC users. The mass media was the most common information source of TCs, and only one-third of the surveyed people relied on pharmacists or doctors for information. Regarding indications and application methods, incorrect answer rate was high in some items, but respondents showed adequate knowledge. However, awareness of the safety of TCs was low. Overall, the TC users showed a higher knowledge of TCs than TC non-users. Conclusions: Public knowledge of the use of TCs appears to be appropriate. However, we found potential misuse or overuse of some items and a lack of awareness of the side effects concerning TCs. Thus, healthcare professionals' significant role is required.

• 한국조사연구학회지:조사연구
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• 제11권1호
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• pp.1-18
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• 2010

본 논문에서는 패널조사에서 발생하는 웨이브 무응답을 대체하는 방법을 고찰하였다. 패널조사에서는 이전 조사 데이터를 무응답 대체에 활용할 수 있기 때문에 이러한 성질을 이용하면 횡단면 무응답 대체보다 더 효과적인 웨이브 무응답 대체법을 찾을 수 있다. 먼저 웨이브 무응답 대체를 사용하는 해외의 주요 패널조사를 살펴보고, 웨이브 무응답 대체방법 중 종단면 회귀대체법, 이월대체법, 최근방 회귀대체법, 그리고 행렬대체법을 고찰하였다. 그리고 웨이브 무응답 대체법의 성능을 비교하기 위하여 한국복지패널 데이터를 대상으로 모의실험을 실시하였다. 성능을 비교하기 위하여 평균대체, 회귀대체, 비대체, 최근방 대체, 핫덱 대체를 고려하였고 성능평가 지표로는 예측 정확성 지표와 추정 정확성 지표를 이용하였다. 모의실험 결과 비대체, 행렬대체는 두 지표 모두 우수했고, 회귀대체, 종단면 회귀대체, 이월대체는 예측 정확성은 우수한 반면 추정 정확성은 다소 떨어졌으며, 반대로 최근방 회귀대체, 최근방 대체, 핫덱 대체는 예측 정확성은 떨어지나 추정 정확성은 높은 것으로 나타났다. 마지막으로 평균 대체는 두 지표 모두 좋지 않았다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 1999년도 제2회 학술발표회
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• pp.37-47
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• 1999

전자탐사는 매우 다양한 탐사 방법론 및 탐사장비가 개발되어 있으며 그 적용 분야 또한 매우 넓다. 전자탐사는 탐사기법 및 사용되는 기기 즉, 특정 송${\cdot}$수신 배열이나 사용 주파수 대역 등에 따라 탐사심도 및 분해능이 서로 다른 결과를 제공한다 그러나 이러한 전자탐사 방법의 다양성은 주어진 문제를 해결할 수 있는 여러가지 기술 중 가장 적절한 방법을 선택할 수 있는 기회를 부여하므로 전자탐사의 중요한 장점중의 하나이다. 또한 현대의 전자탐사 측정장비는 그 복잡성에 비추어 장비의 이동성이 뛰어나다. 전자탐사는 최근 급속한 컴퓨터 기술의 발달에 힘입어 정확한 모델링 및 정밀 해석기술이 계속 개발됨에 따라 그 적용이 확대되고 있으며, 특히 지반조사 및 환경분야에의 적용이 활발히 추진되고 있다. 여기서는 다양한 전자탐사 방법 중에서 환경분야 및 지반조사에 효과적이고 현재 국내에서 수행 가능한 방법 및 조속한 시일 내에 국내에 도입 가능한 기술에 대하여 현장자료를 위주로 소개한다.