• 기술혁신학회지
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• 제10권1호
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• pp.121-142
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• 2007

본 연구의 목적은 과학기술경쟁력 향상을 위한 대형연구시설 및 장비구축 평가모형을 도출하고 이 평가모형의 신뢰성 및 타당성을 검토하고자 한다. 분석결과, 대형연구시설 및 장비구축 평가모형에 대한 신뢰성 및 타당성이 높게 나타났다. 과학기술과 국가정책차원의 신뢰성 분석결과에서 2개의 구성요인의 신뢰성은 높게 나타나고 있어, 과학기술차원의 5개 측정지표들, 국가정책차원의 6개 측정지표들의 내적일관성이 매우 높음을 보여주고 있다. 또한 타당성 분석결과에서 과학기술, 국가정책차원은 내용타당성, 구성타당성 그리고 기준타당성이 높게 나타나고 있다. 또한 고차요인 분석결과에서 대형연구시설 및 장비구축 평가모형 적합도가 대체로 적합하게 나타나고 있어 평가모형과 자료가 잘 부합되고 있음을 보여주고 있다. 이러한 분석결과를 토대로 본 연구에서는 정책적 함의를 제시하고 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권14호
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• pp.5593-5596
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• 2014

Background: The objective of this study was to determine a diagnostic classification scheme using a decision tree based model. Materials and Methods: The study was conducted as a retrospective case-control study in Imam Khomeini hospital in Tehran during 2001 to 2009. Data, including demographic and clinical-pathological characteristics, were uniformly collected from 624 females, 312 of them were referred with positive diagnosis of breast cancer (cases) and 312 healthy women (controls). The decision tree was implemented to develop a diagnostic classification scheme using CART 6.0 Software. The AUC (area under curve), was measured as the overall performance of diagnostic classification of the decision tree. Results: Five variables as main risk factors of breast cancer and six subgroups as high risk were identified. The results indicated that increasing age, low age at menarche, single and divorced statues, irregular menarche pattern and family history of breast cancer are the important diagnostic factors in Iranian breast cancer patients. The sensitivity and specificity of the analysis were 66% and 86.9% respectively. The high AUC (0.82) also showed an excellent classification and diagnostic performance of the model. Conclusions: Decision tree based model appears to be suitable for identifying risk factors and high or low risk subgroups. It can also assists clinicians in making a decision, since it can identify underlying prognostic relationships and understanding the model is very explicit.

• 대한영양사협회학술지
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• 제16권3호
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• pp.208-225
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• 2010

Our research consisted of a qualitative study investigating the quality attributes of university foodservices through focus group interviews and a quantitative study evaluating service quality of university foodservices through a survey. Sixteen quality attributes were derived and customer satisfaction questionnaires included these 16 quality attributes with a five-point Likert scale. An Importance-Performance Analysis (IPA) model was applied in order to identify operational strategies necessary to improve service quality. The survey questionnaires were distributed to 600 university students enrolled in a university located in Kwangju and statistical analysis was performed on 555 surveys using an SPSS package. Overall customer satisfaction with the quality of university foodservices was relatively low (under 3.0) while the expectation was inclined to be high (over 4.0). The main reasons for using the university foodservice were given as inexpensive price (67.6%) and time saving (22.9%). A factor analysis of 16 quality attributes revealed two separate factors: food quality (Cronbach's alpha=0.911) and service quality (Cronbach's alpha=0.934). Variety of menu, convenient location, and sanitation of utensils and facilities were identified by an IPA model as factors needing improvement in operational strategies.

• 한국전자거래학회지
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• 제10권4호
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• pp.83-100
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• 2005

본 논문은 인터넷 이용자들이 가지고 있는 사이버 공간상의 자아에 대한 개념을 살펴보고 사이버 자아에 대한 정체성 강화가 구매활동에 어떠한 영향을 주는지 분석한다. 사이버 자아를 크게 개인적인 자아와 사회적인 자아로 구분하였으며 5개의 구성요소를 설정하였다. 아바타와 온라인 게임에서의 능력치를 개인적 자아 형성요소로, 커뮤니티와 메신저를 사회적 자아의 형성요소로 설정하였으며 블로그는 개인적인 자아와 사회적 자아에 동시에 속하는 요소로 설정하였다. 사이버 자아를 강화시키기 위해 인터넷 사용자 들이 아바타, 온라인 게임의 아이템, 배경 그림 등의 사이버 아이템을 구매하려는 의도가 있는지 알아보기 위해 사이버 자아의 인지와 해당 웹사이트에 대한 충성도 및 구매의도와 관련된 설문조사를 실시하였다. 설문 결과를 바탕으로 개인적 자아와 사회적 자아를 구성하는 요인을 요인분석을 통해 도출한 후 이러한 요인이 충성도와 구매의도에 미치는 영향을 구조방정식 모형(Structural Equation Model)을 이용하여 분석하였다.

• 반도체디스플레이기술학회지
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• 제20권2호
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• pp.92-97
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• 2021

The importance of processes in cryogenic environments is increasing in a way to address problems such as critical dimension (CD) narrow and bottlenecks in micro-processing. Accordingly, in this paper, we proceed with the design and analysis of Electrostatic Chuck(ESC) and Coolant in cryogenic environments, and present optimal model conditions to provide the temperature distribution analysis of ESC in these environments and the appropriate optimal design. The wafer temperature uniformity was selected as the reference model that the operating conditions of the refrigerant of the liquid nitrogen in the doubled aluminum path were excellent. Design of simulation (DOS) was carried out based on the wheel settings within the selected reference model and the classification of three mass flow and diameter case, respectively. The comparison between factors with p-value less than 0.05 indicates that the optimal design point is when five turns of coolant have a flow rate of 0.3 kg/s and a diameter of 12 mm. ANOVA determines the interactions between the above factor, indicating that mass flow is the most significant among the parameters of interests. In variable selection procedure, Case 2 was also determined to be superior through the two-Sample T-Test of the mean and variance values by dividing five coolant wheels into two (Case 1 : 2+3, Case 2: 3+2). Finally, heat transfer analysis processes such as final difference method (FDM) and heat transfer were also performed to demonstrate the feasibility and adequacy of the analysis process.

• 대한방사선기술학회지:방사선기술과학
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• 제40권3호
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• pp.469-484
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• 2017

방사선사는 사람의 생명을 대상으로 하므로 전문적인 직무역량(job competency)이 요구된다. 그럼에도 현재 한국에서는 방사선사의 직무역량을 밝히고 있는 연구가 이루어진 바 없다. 이에 한국 방사선사의 핵심 직무역량 지표를 정의하고 역량군별 요인모델을 제시하고자 방사선사 직무역량에 대한 설문을 실시하여 최종 147명의 응답내용을 취합하였다. 응답 내용은 PASW Statistics Version 18.0와 AMOS Version 18.0을 이용하여 탐색적 요인분석과 확인적 요인분석을 실시하였다. 요인분석 결과 전문직업성', '환자관리', '건강 및 안전', '장비의 운영', '절차와 관리'의 5개 핵심 직무역량군과 17개의 하위 역량으로 구성된 모델을 구성하였다. 5개 핵심 직무역량군의 측정 모델 RMSEA 값은 0.1, CFI와 TLI 값이 0.9에 근사하게 나타나 양호한 적합도를 보였으며, 타당도 분석 결과 평균분산추출 값 0.5이상, 개념신뢰도 값 0.7이상으로 각 하위 역량에 포함된 세부 항목 간에 상관관계도 높게 나타났다. 이 연구의 결과는 한국의 의료 환경에서 방사선사에게 요구되는 직무역량을 명확히 제시하여 역량 중심의 인적 자원 양성과 관리에 필요한 구체적인 정보를 제공해 줄 수 있을 것으로 기대된다.

• 한국산업정보학회논문지
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• 제17권3호
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• pp.83-94
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• 2012

본 연구에서는 취업 선호도 상위 기업의 상징적 이미지(개성) 측정을 위하여 브랜드 개성 측정 방식을 활용, 그 타당성을 입증하고, 한국기업의 특유한 상징적 이미지 요인을 규명하는 것이다. 먼저, 기업의 상징적 이미지 측정 도구 개발을 위하여 브랜드 개성에 관한 기존 연구를 바탕으로 이미지 측정 항목을 구성하고, 558명 조사를 바탕으로 구성된 항목들이 어떠한 요인으로 분류되는지 알아보기 위하여 탐색적 요인분석을 실시하였다. 그 결과, 기업의 상징적 이미지 항목은 성실함(Sincerity), 유능함(Competence), 정감(Affection), 활달함(Excitement), 세련됨(Sophistication)으로 명명된 요인으로 분류되었다. 확인적 요인분석 결과, 모든 요인에 대하여 신뢰성과 수렴타당성은 확보되었다. 본 결과를 통하여 기업의 상징적 이미지 측정 도구를 개발하는데 기업의 상징적 이미지는 브랜드 개성과 같은 맥락에서 접근되고 측정될 수 있다는 가정을 확인하였다. 또한, 브랜드 개성의 체계가 표준화의 패러다임보다는 사회 문화적 특성을 토대로 한 개성을 고려하여 현재의 패러다임 속에서 지속적으로 재해석되듯이 기업이미지 체계도 지속적으로 재해석되어야 함을 발견하였다. 본 연구를 통하여 발견된 "정감'의 항목이 재해석된 한국 기업의 상징적 이미지 요인의 하나라고 할 수 있다.

• 수산경영론집
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• 제50권2호
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• pp.41-56
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• 2019

The aim of this study is to analyze the productivity change of pollock enterprise by applying a mutually quadratic hyperbolic model and a bootstrapping model. This study used 20 units of pollock firms data (from 2013 to 2017). As a result of total productivity analysis of twenty pollock enterprises, total factor productivity was estimated to have decreased by 24.9% over the last five years (2013~2017). The main cause of this productivity decline was analyzed by technical change. In terms of annual productivity change, it showed decrease 3.0% in 2013~2014, 7.8% in 2014~2015, 4.5% in 2015~2016 and 4.7% in 2016~2017 respectively. In the analysis of productivity by corporation type, total factor productivity showed a significant decrease in both general corporation and external corporation, and productivity decrease (-29.3%) was larger than general corporation (-23.0%). In the productivity analysis by type of business, total factor productivity decreased significantly in the order of wholesale and commodity brokerage (-26.3%), food manufacturing (-25.1%) and fisheries (-15.3%). This decrease in productivity was caused by the technological change which indicates a downward shift in the production curve that is significant in all sectors.

• Journal of Korea Trade
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• 제24권3호
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• pp.20-36
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• 2020

Purpose - As the global product network expands through both internationalization and diversification of the multimodal transportation system, corporate strategies have shifted to emphasize the importance of a high value-added international logistics system. To guide policies and strategies to attract relevant industries, this study aims to analyze the location competitiveness of regional logistics distribution center to serve Northeast Asia. Design/methodology - Multi-criteria techniques are considered to offer a promising framework for evaluating decision-making factors. This paper employed an analytic hierarchy process to analyze the hierarchal structure of determinants for selecting the location of a regional logistics distribution center. Adopting both qualitative and quantitative evaluations, this study suggest political implications for a regional logistics distribution center development, such as the direction of political support, service differentiation and infrastructure development. Findings - This study developed a location competitiveness evaluation model, based on the case study of the major port-cities in Northeast Asia. Evaluation model incorporates five factors underpinning 17 components extracted using factor analysis. The results revealed that the logistics factor is the most significant factor for evaluating the competitiveness of a regional logistics distribution center. The remaining factors were market, costs, and services environment. Comparing qualitative and quantitative evaluations, results provide useful insights for a regional logistics distribution center development in Northeast Asia. Originality/value - This study revealed differences between qualitative and quantitative evaluations. The finding implies that prior works on evaluation models of competitiveness has not successfully measured the gap between quantitative data and expert' evaluations. To overcome this limitation, this paper considered both actual data such as actual distance, cost, the number of companies located, and expert opinions.

• Computers and Concrete
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• 제30권2호
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• pp.99-111
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• 2022

In this study, deep learning and k-Nearest Neighbor (kNN) models were used to estimate the sorptivity and freeze-thaw resistance of self-compacting mortars (SCMs) having binary and ternary blends of mineral admixtures. Twenty-five environment-friendly SCMs were designed as binary and ternary blends of fly ash (FA) and silica fume (SF) except for control mixture with only Portland cement (PC). The capillary water absorption and freeze-thaw resistance tests were conducted for 91 days. It was found that the use of SF with FA as ternary blends reduced sorptivity coefficient values compared to the use of FA as binary blends while the presence of FA with SF improved freeze-thaw resistance of SCMs with ternary blends. The input variables used the models for the estimation of sorptivity were defined as PC content, SF content, FA content, sand content, HRWRA, water/cementitious materials (W/C) and freeze-thaw cycles. The input variables used the models for the estimation of sorptivity were selected as PC content, SF content, FA content, sand content, HRWRA, W/C and predefined intervals of the sample in water. The deep learning and k-NN models estimated the durability factor of SCM with 94.43% and 92.55% accuracy and the sorptivity of SCM was estimated with 97.87% and 86.14% accuracy, respectively. This study found that deep learning model estimated the sorptivity and durability factor of SCMs having binary and ternary blends of mineral admixtures higher accuracy than k-NN model.