• 지역연구
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• 제35권1호
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• pp.19-31
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• 2019

본 연구의 목적은 국민정체성과 위협의식이 다문화 수용성에 미치는 영향과 접촉이론이 실제로 작동하는지를 분석하는 것이다. 분석을 위해 '2013년 한국종합사회조사' 자료를 이용하였으며, 구조방정식 모형을 활용하여 외국인 밀집지역 거주 여부에 따른 비교분석을 실시하였다. 분석 결과, 국민정체성은 다문화수용성에 직접적인 영향을 미치지 않으며, 위협의식이 국민정체성과 다문화수용성 간 관계에서 사이에서 완전한 매개효과를 갖는 것으로 나타났다. 또한, 다문화수용성에 대한 위협의식의 부정적인 효과는 외국인 밀집지역에 거주하는 집단에서 더 큰 것으로 나타났다. 분석 결과를 통해 본 연구는 외국인에 대한 위협의식을 줄이기 위한 다문화 인식교육이 필요하며, 외국인과 한국인 간 접촉으로 인해 발생하는 갈등을 예방하고 조정하는 지역사회 및 공동체 차원의 프로그램이 필요하다는 정책적 시사점을 제시한다.

• 한국지반공학회논문집
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• 제36권12호
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• pp.125-132
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• 2020

암반내의 절리는 암반의 전체적인 역학적 거동에 중요한 역할을 한다. 암반에 대한 수치해석은 절리면의 역학적 물성, 방향성, 간격 그리고 연속성을 정교하게 모델링할수 있어야 한다. 본 논문의 내재적 절리-연속체 접근법은 절리군을 포함한 암반의 역학적 모델을 제시한다. 암반에 대한 강성 텐서는 온전한 암석과 절리군의 역학적 특성으로부터 산정하였다. 이는 온전한 암석과 절리군에 대한 연속적 강성 시스템의 컴플라이언스 텐서 합으로부터 산정할 수 있다. 암반사면의 평면파괴에 대한 수치해석은 기존의 daylight envelope과 측면한계를 적용하는 경험적인 방법과 상당히 일치함을 확인하였다. 개발된 내재적 절리-연속체 모델은 연속체 기반으로 수식화되어 기존의 절리에 대한 열-수리-화학적 실험적 결과들을 실제 수치해석에 적용할수 있을 것이다.

• 대한건축학회논문집:계획계
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• 제34권3호
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• pp.23-34
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• 2018

Due to a waste of energy in korea, about 525,000 which are 75 percent of total buildings are at least 15 years old buildings that need remodeling. There are two current remodeling systems. One is a remodeling system to reduce a waste of resources from the reconstruction. The other is a green-remodeling system aimed to energy savings and reducing environmental costs. This study is to analyze quantitatively these current systems with respect to the cost-benefit caused by the life cycle and suggests the political and institutional implications through the interpretation of the results. For a quantitative analysis, we analyzed reducing maintenance costs and rent benefits with simulation by using opportunity costs, construction costs, plan costs and supervision costs as expense variables and using the reduced floor area ratio, institutional incentives, energy, water resources and certified emission reduction(CER) as benefit variables. As a result of the empirical study, the green-modeling was more beneficial in the field of environment such as the energy savings, however, the final benefits of remodeling which has no green building certification costs but more floor area ratio incentives were more economical. The green-remodeling system focused on reducing environmental costs and energy savings needs a equatable institutional incentive system.

• 한국콘텐츠학회논문지
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• 제21권3호
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• pp.783-795
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• 2021

본 연구는 정부 내 조직 관리상 자율성 증진 및 성과 중심 관리를 위하여 현재 운영 중인 책임운영기관에 대한 평가제도와 운영 효과 간 연계성에 대하여 살펴보았다. 이를 위하여 책임운영기관 중 지방통계청 공무원 510명을 대상으로 평가제도 운영에 대한 의사소통, 평가지표의 타당성, 기관장의 관심, 평가결과의 활용, 평가과정의 투명성, 책임운영기관 제도 운용상 효과성에 대한 설문 조사를 시행하였다. 구조방정식 분석결과에 의하면 평가지표의 타당성과 기관장 관심이 높을수록 평가결과의 활용과 평가과정의 투명성에 긍정적인 효과를 주며 제도운영에 효과성 또한 높게 인식하였다. 하지만 의사소통의 경우 평가 과정상 투명성에는 긍정적인 효과를 주었으나, 평가결과의 활용에는 효과가 나타나지 않았다. 이러한 연구결과는 책임운영기관 평가제도의 운영에 있어서 평가와 관련된 조직 내의 의사소통에 대한 고려가 필요하다는 점을 확인하였다는 데 의미가 있다.

• 산경연구논집
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• 제11권12호
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• pp.29-38
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• 2020

Purpose: The purpose of this study is to empirically analyze the effect of chatbot service quality, chatbot trust, and chatbot satisfaction on chatbot reuse intention and store reuse intention. Research design, data, and methodology: We reviewed the literature on domestic and international chatbots, established hypotheses, and analyzed them. We empirically analyzed the process model in which chatbot service quality (interaction quality, information quality) has a positive effect on chatbot trust and chatbot satisfaction, and that chatbot trust and satisfaction positively affect chatbot reuse intention and store reuse intention. A survey was conducted on 212 people who had used shopping mall chatbots and financial service chatbots after demonstrating the shopping mall chatbot video. Structural equation modeling was conducted by using AMOS 24.0 to test the proposed relationships. Results: As a result of the empirical analysis, the effects of interaction quality on chatbot trust and information quality on chatbot satisfaction were not supported, but the rest of the hypotheses were statistically significant. It was found that the information quality of chatbot service had a positive effect on chatbot trust, but did not significantly affect chatbot satisfaction. In addition, the interaction quality of the chatbot positively affects the satisfaction of the chatbot, but it does not significantly affect the trust of the chatbot. Chatbot trust was found to have a positive effect on chatbot satisfaction. Chatbot trust and chatbot satisfaction were found to have a positive influence on the intention to reuse the chatbot. And, chatbot trust and chatbot satisfaction were found to have a positive influence on store reuse intention. Conclusions: The findings of this study offer significant theoretical and managerial contributions in the context of chatbot. Chatbots should enhance customer contact quality management from the perspective of total customer experience management rather than partial function. When providing a chatbot service, it is more desirable to give priority to providing accurate information to increase trust, and at the same time to improve customer satisfaction by increasing the quality of interaction. And in order to increase the competitive advantage of companies, the purpose of introducing chatbots should be clarified and approached strategically.

• 시스템엔지니어링학술지
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• 제16권2호
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• pp.97-109
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• 2020

On March 11, 2011, an earthquake followed by a tsunami caused an extended station blackout (SBO) at the Fukushima Dai-ichi NPP Units. The accident was initiated by a total loss of both onsite and offsite electrical power resulting in the loss of the ultimate heat sink for several days, and a consequent core melt in some units where proper mitigation strategies could not be implemented in a timely fashion. To enhance the plant's coping capability, the Diverse and Flexible Strategies (FLEX) were proposed to append the Emergency Operation Procedures (EOPs) by relying on portable equipment as an additional line of defense. To assess the success window of FLEX strategies, all sources of uncertainties need to be considered, using a physics-based model or system code. This necessitates conducting a large number of simulations to reflect all potential variations in initial, boundary, and design conditions as well as thermophysical properties, empirical models, and scenario uncertainties. Alternatively, data-driven models may provide a fast tool to predict the success window of FLEX strategies given the underlying uncertainties. This paper explores the applicability of Artificial Intelligence (AI) to identify the success window of FLEX strategy for extended SBO. The developed model can be trained and validated using data produced by the lumped parameter thermal-hydraulic code, MARS-KS, as best estimate system code loosely coupled with Dakota for uncertainty quantification. A Systems Engineering (SE) approach is used to plan and manage the process of using AI to predict the success window of FLEX strategies under extended SBO conditions.

• 한국의상디자인학회지
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• 제23권4호
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• pp.1-17
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• 2021

This study was examined whether the experiential marketing factors proposed by Bernd Schmitt were applicable to the consumer behavior of active seniors. The study was analyzed the influence of SEMs have on value perception of brand and attitude formation as well as the behavioral intentions of active senior consumers and whether this effect differed between the level of commitment. For empirical analysis, frequency analysis, EFA, reliability, CFA, SEM, and multiple-group comparison analysis were performed. The results showed that sense and feel factor did not have a significant influence on the value perception of brand, while think factor had a positive effect on the value perception of brand. Act factor did not affect the value perception of brand; on the other hand, relate factor had a significant effect on the value perception of brand. The result of structural equation modeling also revealed that the value perception of brand had a positive influence on attitude formation and behavioral intentions. The result of multiple-group comparison analysis confirmed that the influence of act factor on value perception of brand differed according to the level of commitment, but the positive influence of act factor on value perception of brand was limited to the high-level of commitment group. As a result of the influence relate factor had on the value perception of brand, differences existed between the two groups, and the low-level of commitment group had a greater influence than the high-level of commitment group. So it will be effective for active senior consumers to form fashion communities and let them participate in to enhance positive consumer behavior toward fashion brands.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.726-741
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• 2022

The purpose of this study is to provide instructive theoretical models for art (music) education institutions especially when unpredictable risks, such as pandemics, occur again. Based on the customer behavior theory of the business-to-business-to-customer (B2B2C) platform, and in combination with the technology acceptance model (TAM) and expectation confirmation model (ECM), this study proposes an online education model from the perspective of art education. The framework is based on the three decision-making processes of the customer, and includes the product owner, content owner, and customer area. This paper highlights the factors that influence customers in making decisions when art education institutions are product owners. Regression analysis was introduced to study the factors influencing the expectation confirmation, and the overall fitting testing and six hypotheses testing of 385 effective samples were performed using the structural equation modeling (SEM). The results show that the course-design and after-service positively influenced the expectation confirmation, and the domain image positively influenced the continuance behavior. Negative emotions skipped the mediator (expectation confirmation) and directly exerted a significant negative impact on customers' willingness to continue system usage (continuance behavior). In addition, expectation confirmation positively influenced continuance behavior. The paths of detailed items comprising course-design, after-service, and negative emotion were also analyzed and discussed. In this path analysis, ordinary art learners did not believe that AI partners can play a very good auxiliary role. The findings contribute to the scope of information systems acting as an art education platform academically, and provide effective and theoretical support for the actual operation of art education institutions.

• Nuclear Engineering and Technology
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• 제54권2호
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• pp.589-600
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• 2022

Investigations on the molten-pool sloshing behavior are of essential value for improving nuclear safety evaluation of Core Disruptive Accidents (CDA) that would be possibly encountered for Sodium-cooled Fast Reactors (SFR). This paper is aimed at synthesizing the knowledge from our recent studies on molten-pool sloshing behavior with solid particles conducted at the Sun Yat-sen University. To better visualize and clarify the mechanism and characteristics of sloshing induced by local Fuel-Coolant Interaction (FCI), experiments were performed with various parameters by injecting nitrogen gas into a 2-dimensional liquid pool with accumulated solid particles. It was confirmed that under different particle-bed conditions, three representative flow regimes (i.e. the bubble-impulsion dominant, transitional and bed-inertia dominant regimes) are identifiable. Aimed at predicting the regime transitions during sloshing process, a predictive empirical model along with a regime map was proposed on the basis of experiments using single-sized spherical solid particles, and then was extended for covering more complex particle conditions (e.g. non-spherical, mixed-sized and mixed-density spherical particle conditions). To obtain more comprehensive understandings and verify the applicability and reliability of the predictive model under more realistic conditions (e.g. large-scale 3-dimensional condition), further experimental and modeling studies are also being prepared under other more complicated actual conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.3194-3210
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• 2022

Wall obstruction is the main factor leading to the non-line of sight (NLoS) error of indoor localization based on received signal strength indicator (RSSI). Modeling and correcting the path loss of the signals through the wall will improve the accuracy of RSSI localization. Based on electromagnetic wave propagation theory, the reflection and transmission process of wireless signals propagation through the wall is analyzed. The path loss of signals through wall is deduced based on power loss and RSSI definition, and the theoretical model of path loss of signals through wall is proposed. In view of electromagnetic characteristic parameters of the theoretical model usually cannot be accurately obtained, the statistical model of NLoS error caused by the signals through the wall is presented based on the log-distance path loss model to solve the parameters. Combining the statistical model and theoretical model, a hybrid model of path loss of signals through wall is proposed. Based on the empirical values of electromagnetic characteristic parameters of the concrete wall, the effect of each electromagnetic characteristic parameters on path loss is analyzed, and the theoretical model of regional path loss of signals through the wall is established. The statistical model and hybrid model of regional path loss of signals through wall are established by RSSI observation experiments, respectively. The hybrid model can solve the problem of path loss when the material of wall is unknown. The results show that the hybrid model can better express the actual trend of the regional path loss and maintain the pass loss continuity of adjacent areas. The validity of the hybrid model is verified by inverse computation of the RSSI of the extended region, and the calculated RSSI is basically consistent with the measured RSSI. The hybrid model can be used to forecast regional path loss of signals through the wall.