• 보건행정학회지
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• 제6권2호
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• pp.58-90
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• 1996

This study provides an empirical analysis of location competition for demand maximization by central place theory among physicians in nonmetropolitan areas of Korea. The results show that the primary care physicians distribute themselves evenly from urban communities to rural communities. The subspecialists, however, cluster together in major cities rather than decentralize themselves in rural counties. This study establishes the three statistical models : Primary care physicians, subspecialist physicians, and total physicians. Two models of primary care physicians and total physicians have a strong significance in multiple regression analysis (p=-.0001). The primary care model explains approximately 45% of the variation and the total physicians model explains approximately 70% of the variation in physician/1,000 population ratios across national counties. The subspecialist physicians model analysze the tobit regreassion because of the left consored and truncated values(57 cases = 0). In all three models, analysis of the coefficiencts for physician centralization degrees in the 0- to 5- and 5- to 10-km rings around the core county reveals each a positive and negative association betwee these degrees and the physician/1,000 population ratios in the core county. Also, the results provide moderate evidence that the relationship between clinic physicians and community hospitals is competitive, and the relationship between clinic physicians and pharmaceutists is synergistic. This suggests that public policy makers and local self-governing bodies must take an active role to ensure procider availability and the regional health planning in all nonmetropolitan areas of Korea.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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• pp.136-139
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• 2001

This paper develops a sensor based navigation method that utilizes fuzzy logic and the Dempster-Shafer evidence theory for mobile robot in uncertain environment. The proposed navigator consists of two behaviors: obstacle avoidance and goal seeking. To navigate reliably in the environment, we make a map building process before the robot finds a goal position and create a robust fuzzy controller. In this paper, the map is constructed on a two-dimensional occupancy grid. The sensor readings are fused into the map using D-S inference rule. Whenever the robot moves, it catches new information about the environment and replaces the old map with new one. With that process the robot can go wandering and finding the goal position. The usefulness of the proposed method is verified by a series of simulations. This paper deals with the fuzzy modeling for the complex and uncertain nonlinear systems, in which conventional and mathematical models may fail to give satisfactory results. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper.

• 정보과학회 논문지
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• 제43권7호
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• pp.812-819
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• 2016

본 논문에서는 기존의 영상분할에서 발생하는 초기값 배정문제와 영상분할 가능여부를 확인할 수 있는 방법에 대한 이론적 근거를 분석하고 제시한다. 본 논문의 앞 부분에서는 위상수학의 이론에 근거한 수학적 논증을 바탕으로 적절한 초기값 배정의 대한 위상적 근거와 방법론을 제시한다. 이어서 위상수학의 분리공리 이론에 근거하여 영상이 영역 분할되기 위한 최소의 위상조건을 확인하고 해당 조건을 이용하여 영상분할을 위해 사용된 모델의 유효성을 검증하는 방법론을 제시한다. 즉, 본 논문은 기존의 통계적 분석과 달리, 위상적 분석을 통해 영상 영역 분할의 수학적 근거를 제시한 것에 그 특징이 있다. 마지막으로 기존의 가우시안 랜덤 필드 모델 기반 영상 분할에 본 논문에서 제시한 이론과 방법론을 적용하여 가우시안 랜덤 필드 모델의 유효성을 확인한다.

• Nuclear Engineering and Technology
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• 제46권1호
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• pp.11-26
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• 2014

The analyses carried out within the Seismic Probabilistic Risk Assessments (SPRAs) of Nuclear Power Plants (NPPs) are affected by significant aleatory and epistemic uncertainties. These uncertainties have to be represented and quantified coherently with the data, information and knowledge available, to provide reasonable assurance that related decisions can be taken robustly and with confidence. The amount of data, information and knowledge available for seismic risk assessment is typically limited, so that the analysis must strongly rely on expert judgments. In this paper, a Dempster-Shafer Theory (DST) framework for handling uncertainties in NPP SPRAs is proposed and applied to an example case study. The main contributions of this paper are two: (i) applying the complete DST framework to SPRA models, showing how to build the Dempster-Shafer structures of the uncertainty parameters based on industry generic data, and (ii) embedding Bayesian updating based on plant specific data into the framework. The results of the application to a case study show that the approach is feasible and effective in (i) describing and jointly propagating aleatory and epistemic uncertainties in SPRA models and (ii) providing 'conservative' bounds on the safety quantities of interest (i.e. Core Damage Frequency, CDF) that reflect the (limited) state of knowledge of the experts about the system of interest.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.875-883
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• 2021

In view of integration and development, compliance with regulations on information disclosure has important implications for users. Corporate social responsibility disclosure (CSRD) is an increasing concern of the community and society. CSRD always poses many challenges for the profitability of banks. The article uses the ordinary least square method to examine this relationship and employs timeseries data of five years from 18 Vietnamese listed banks from 2015 to 2019. The analysis is informed by Jensen and Meckling's Agency theory, Freeman's Stakeholder theory, and Dowling and Pfeffer's Legitimacy theory. The study results show that, with the CSRD dependent variable, return on assets (ROA) and net interest margin (NIM) have an opposite influence, but return on equity (ROE) has no effect on CSRD, while on the profitability dependent variable, CSRD has a different influence from ROA, ROE, and NIM. To enhance the relationship between CSRD and profitability, Vietnamese listed banks need to comply with CSRD as well as demonstrate responsibility to the community and society. Managers need to have clear development policies and strategies to ensure both profitability and responsibility regarding social and community activities. The State Securities Commission of Vietnam should enforce strict sanctions, conduct inspection, and complete evaluation criteria for Vietnamese listed banks.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.67-78
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• 2021

The COVID-19 pandemic sweeping the world has rendered a large proportion of the workforce unable to commute to work, to mitigate the spread of the virus. This has resulted in both employers and employees seeking alternative work arrangements. Due to the pandemic, most if not all workers experienced work from home Hence work from home has become a policy priority for most governments. Individuals have started to change their behavior to stick to the curfew and rapidly conform to the new way of life. This study is conducted to understand how organizations and people adjust to these developments and challenges. Numerous organizations are changing to the online method of working because of the COVID-19. Because of the continuous adoption of a specific behavior after the COVID-19 pandemic situation ended, employees were expected to continue working from home. To investigate deep into the behavioral consequences of such a pandemic situation, in-depth interviews were conducted in several companies in Saudi Arabia. This study was conducted by extending the Theory of Planned Behavior (TPB) and the theory of reasoned action (TRA) to explore and assess the various factors that determine the continuous adoption intention of work-from-home by the Saudis. The finding shows that the employees' positive attitude, subjective norms, and self-efficacy affect the employees' intention to adopt work from home. The continuous adoption of work from home has been affected by employees' relevant intention and controllability.

• 한국의류학회지
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• 제47권6호
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• pp.1204-1220
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• 2023

With the rising importance placed on sustainability for brands, a plethora of research addresses consumer responses concerning eco-friendly products. While positive effects of eco-friendly traits on beauty products have been discussed, this study addresses a wide research gap in the makeup category. Based on the goal-attribute theory and the lay theory of ethicality, detrimental effects of eco-friendly ingredient claims on perceived appearance enhancement attributes (AEA) were examined. A between-subject, single-factor (eco-friendly ingredient claims present vs. absent) web-based experimental design tested the effect of conditions on makeup products that emphasized AEA. Results found a negative effect of eco-friendly ingredient claims on perceived AEA, supporting previous literature regarding the 'green gap'. Evidence showed that perceived AEA fully mediated the effect of eco-friendly claims on purchase intention, which was moderated by AEA preference. Interestingly, findings show that the purchase intention of respondents with a near-average preference for AEA was not moderated. Results contribute to preexisting literature by extending the lay theory of ethicality and product function mismatch to the field of makeup. Managerial implications are discussed, including opportunities for eco-friendly makeup products to appeal to alternative benefits.

• 한국치위생학회지
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• 제20권4호
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• pp.395-408
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• 2020

Objectives: This study was performed in order to provide evidence-based data for the expected professional impact of dental hygienists, and to apply and disclose the comprehensive dental hygiene care process through an in-depth analysis of their scaling experience and investigation of the importance of an evidence-based scaling work performance. Methods: The data were collected from June 3, 2019 to October 3, 2019 by conducting in-depth individual interviews on 10 dental hygienists who are working in dental clinics and hospitals by region. The data were analyzed by using the grounded theory methodology, which is a field of qualitative research method. Results: Study results showed that the core category derived from the paradigm model and change process in this study was 'a process of becoming a mature professional outside practical work'. Conclusions: In this study, the participants were able to gain a sense of occupational accomplishment as dental hygienists by performing scaling based on the comprehensive dental hygiene care (CDHC) process, and to advance into professionals through continuous efforts and research in order to enhance their job competencies.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제23권1호
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• pp.15-24
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• 2017

Purpose: Korea is expected to enter an aged society in 2018 and then a super-aged society in early 2025. The country's aging is progressing faster than any other country in the world. However, the foundation of the elderly friendly industry is weak, and measures at the government level are urgently needed. Especially, housing problems of the elderly are one of the most urgent measures to be taken. Korea does not have the minimum residential area standard for the elderly, and the current general minimum residential area standard is based on the survey of the housing situation without scientific evidence. Therefore, both standards need to be revised as soon as possible based on scientific evidence. Methods: The minimum residential area standard has been calculated following Karl H. E. Kroemer's Min or Max design also being called as-single cut and dual cut theory- as the maximum population value and minimum population value theory of Ernest J. McCormick. Therefore there is a need for a formula made using a few key factors, such as corresponding dimension, practical dimension, clearance, spare dimension, integrated dimension. These elements can be defined and used as formulas to calculate minimum residential area standards. Results: Assuming the results of the spatial variability in this study showed that it is possible to raise the standard of living in a terms of sustainable minimum size for the young, old and all residents. Implications: The government should set a minimum residential area standard with scientific grounds and set up a policy improving the life of people who live in an needy residential environment.

• 대한원격탐사학회지
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• 제20권6호
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• pp.419-425
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• 2004

본 연구에서는 Dempster-Shafer evidence theory에 기반하여 Gaussian 질량 함수를 사용하는 융합 기법을 제안하고 있다. Dempster-Shafer 융합은 비정확성과 불확실성 measures를 각각 belief 함수와 plausibility 함수로 나타내며 이 두 함수 값 사이의 간격을 나타내는 "belief interval"에 의해 불확실성의 정도가 표현된다. 이러한 Dempster-Shafer 융합기술을 이용하여 서로 다른 센서에서 수집된 영상 자료를 융합하여 사용하여 분류 결과의 정확성을 높이고 특히 분류를 위한 매개변수를 추정하는 훈련과정에서 복합 클래스를 설정할 수 있어 단순 클래스 설정으로 인한 훈련과정이 어려움을 피할 수 있다. 이 연구에서는 경기도 용인/능평 지역에서 관측 된 KOMPSAT EOC의 범색 영상 자료와 LANDSAT ETM+의 식생지수 자료에 대해 제안된 Dempster-Shafer 융합기술을 이용하여 분류 실험을 수행하였고 분류 결과는 서로 다른 센서간의 영상자료 융합을 위한 제안된 기법의 잠재적 효과성을 보여주고 있다.