• 동아시아경상학회지
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• 제9권4호
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• pp.17-28
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• 2021

Purpose - This article aims to explore the mechanism in which environmental regulations have positive effects on corporate competitiveness through technological innovation. This study also attempts to examine the relationship between environmental regulation and corporate competitiveness from a technological innovation perspective and explore a desirable relationship between those two. Research design, data, and methodology - Discourse analysis and SWOT analysis is used in terms of methodology, and this study is based on literature review theoretically. The methodology is employed in various ways to describe a variety of environmental issues. Result - The results support that technological innovation is able to play a role in coordinating relationship between environmental regulations and corporate competitiveness. The uncertainty and time lag problems innate to technological innovation function as disturbing factors for individual companies to actively increase R&D investment in response to environmental regulations. Environmental regulations may be considered to be working as a factor consolidating corporate competitiveness through technological innovation to respond to the environmental regulations including climate change issue. Conclusion - This study proposes that to achieve two goals of environmental protection and corporate competitiveness consolidation, policy support from various aspects is implied to be required. This implies that environmental regulations and technical innovation must be harmoniously balanced for future corporate success.

• 한국게임학회 논문지
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• 제19권3호
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• pp.101-112
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• 2019

본 연구는 <블랙미러: 밴더스내치>의 서사를 게이미피케이션 개념을 통해 읽음으로써, 현재의 인터랙티브 영화의 가능성과 한계 및 발전 방안을 살펴보고자 한다. <밴더스내치>의 '도전과제'는 예측 불가능한 세계에서 이야기를 진행하는 것이며, '보상'은 엔딩의 위계화이다. 이 영화의 재미 요소의 한계 극복을 위해서는 선택지와 엔딩 사이의 불확실성을 줄이고, 유희성을 강화해야 하며 다양하고 차별적인 결말을 마련해야 한다. 이러한 분석은 게이미피케이션 요소의 강화가 인터랙티브 영화의 몰입에 긍정적 영향을 줄 수 있음을 함의한다.

• Wind and Structures
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• 제28권2호
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• pp.111-128
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• 2019

In this paper an octagon plan shaped building (study building) in presence of three square plan shaped building is subjected to boundary layer wind flow and the interference effects on the study building is investigated using Computational fluid dynamics. The variation of the pressure coefficients on different faces of the octagon building is studied both in isolated and interference conditions. Interference Factors (IF) are calculated for different faces of the study building which can be a powerful tool for designing similar plan shaped buildings in similar conditions. A metamodel of the IF, in terms of the distances among buildings is also established using Response Surface Method (RSM). This set of equations are optimized to get the optimum values of the distances where the IF is unity. An upstream Interference zone for this building setup and wind environment is established from these data. Uncertainty principle is also utilised to determine the optimum positions of the interfering buildings considering the uncertain nature of wind flow for minimum interference effect. The proposed procedure is observed to be computationally efficient in deciding optimum layout at buildings often required in city planning. The results show that the proposed RSM-based optimization approach captures the interference zone accurately with substantially less number of experiments.

• Structural Engineering and Mechanics
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• 제68권5호
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• pp.549-561
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• 2018

Sobol method is applied as a powerful variance decomposition technique in the field of global sensitivity analysis (GSA). The paper is devoted to increase convergence speed of the extracted Sobol indices using a new proposed sampling technique called genetic based Latine hypercube sampling (GBLHS). This technique is indeed an improved version of restricted Latine hypercube sampling (LHS) and the optimization algorithm is inspired from genetic algorithm in a new approach. The new approach is based on the optimization of minimax value of LHS arrays using manipulation of array indices as chromosomes in genetic algorithm. The improved Sobol method is implemented to perform factor prioritization and fixing of an uncertain comprehensive high speed rotor-bearing system. The finite element method is employed for rotor-bearing modeling by considering Eshleman-Eubanks assumption and interaction of axial force on the rotor whirling behavior. The performance of the GBLHS technique are compared with the Monte Carlo Simulation (MCS), LHS and Optimized LHS (Minimax. criteria). Comparison of the GBLHS with other techniques demonstrates its capability for increasing convergence speed of the sensitivity indices and improving computational time of the GSA.

• 한국멀티미디어학회논문지
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• 제24권4호
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• pp.569-582
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• 2021

Education emphasizes problem-solving skills based on convergent thinking power in an era of rising uncertainty and rapid progress. This paper proactively designed e-Learning team teaching convergence liberal arts courses for prospective teachers by these social needs. It analyzed the empirical effects on the operation of the subjects to foster future talent who can converge and apply knowledge in various fields. The curriculum consisted of professors of mathematics, practical Arts, computer, and education, and was operated to convey convergent knowledge of information technology and humanities, and consisted of 15 liberal arts courses at J University. Besides, textbooks and teaching materials were also developed by the faculty. As a result of the primary research, prospective teachers who took the course generally showed high satisfaction with the class, especially for the faculty. The students' overall convergent thinking ability has increased to a statistically significant level (p<.01), and the students' major has been found to be irrelevant. On the other hand, it can be seen that communication, content convergence, and caring factors, excluding creativity factor, have all risen to a significant level.

• Nuclear Engineering and Technology
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• 제53권4호
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• pp.1331-1344
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• 2021

This study is to evaluate the seismic capacity of the fire-damaged cabinet facility in a nuclear power plant (NPP). A prototype of an electrical cabinet is modeled using OpenSees for the numerical simulation. To capture the nonlinear behavior of the cabinet, the constitutive law of the material model under the fire environment is considered. The experimental record from the impact hammer test is extracted trough the frequency-domain decomposition (FDD) method, which is used to verify the effectiveness of the numerical model through modal assurance criteria (MAC). Assuming different temperatures, the nonlinear time history analysis is conducted using a set of fifty earthquakes and the seismic outputs are investigated by the fragility analysis. To get a threshold of intensity measure, the Monte Carlo Simulation (MCS) is adopted for uncertainty reduction purposes. Finally, a capacity estimation model has been proposed through the investigation, which will be helpful for the engineer or NPP operator to evaluate the fire-damaged cabinet strength under seismic excitation. This capacity model is presented in terms of the High Confidence of Low Probability of Failure (HCLPF) point. The results are validated by the proper judgment and can be used to analyze the influences of fire on the electrical cabinet.

• 한국의학물리학회지:의학물리
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• 제32권4호
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• pp.122-129
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• 2021

Purpose: This study aimed to design a multipurpose dose verification phantom for external audits to secure safe and optimal radiation therapy. Methods: In this study, we used International Atomic Energy Agency (IAEA) LiF powder thermoluminescence dosimeter (TLD), which is generally used in the therapeutic radiation dose assurance project. The newly designed multipurpose phantom (MPP) consists of a container filled with water, a TLD holder, and two water-pressing covers. The size of the phantom was designed to be sufficient (30×30×30 cm³). The water container was filled with water and pressed with the cover for normal incidence to be fixed. The surface of the MPP was devised to maintain the same distance from the source at all times, even in the case of oblique incidence regardless of the water level. The MPP was irradiated with 6, 10, and 15 MV photon beams from Varian Linear Accelerator and measured by a 1.25 cm³ ionization chamber to get the correction factors. Monte Carlo (MC) simulation was also used to compare the measurements. Results: The result obtained by MC had a relatively high uncertainty of 1% at the dosimetry point, but it showed a correction factor value of 1.3% at the 5 cm point. The energy dependence was large at 6 MV and small at 15 MV. Various dosimetric parameters for external audits can be performed within an hour. Conclusions: The results allow an objective comparison of the quality assurance (QA) of individual hospitals. Therefore, this can be employed for external audits or QA systems in radiation therapy institutions.

• 산업경영시스템학회지
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• 제45권3호
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• pp.40-48
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• 2022

An automated material handling system (AMHS) has been emerging as an important factor in the semiconductor wafer manufacturing industry. In general, an automated guided vehicle (AGV) in the Fab's AMHS travels hundreds of miles on guided paths to transport a lot through hundreds of operations. The AMHS aims to transfer wafers while ensuring a short delivery time and high operational reliability. Many linear and analytic approaches have evaluated and improved the performance of the AMHS under a deterministic environment. However, the analytic approaches cannot consider a non-linear, non-convex, and black-box performance measurement of the AMHS owing to the AMHS's complexity and uncertainty. Unexpected vehicle congestion increases the delivery time and deteriorates the Fab's production efficiency. In this study, we propose a Q-Learning based dynamic routing algorithm considering vehicle congestion to reduce the delivery time. The proposed algorithm captures time-variant vehicle traffic and decreases vehicle congestion. Through simulation experiments, we confirm that the proposed algorithm finds an efficient path for the vehicles compared to benchmark algorithms with a reduced mean and decreased standard deviation of the delivery time in the Fab's AMHS.

• 아태비즈니스연구
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• 제13권2호
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• pp.95-106
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• 2022

Purpose - The purpose of this study was to examine the mediating effect of employee competence on the relationship between the utilization of non-regular workers and firm performance. Design/methodology/approach - This study utilized 427 firm level data from HCCP. The Exploratory Factor Analysis (EFA) and the multiple regression analysis were conducted to verify the hypotheses. Findings - We found that the utilization of non-regular workers is not significantly related to firm performance. However, the utilization of non-regular workers had a negative relationship with employee competence, and that employee competence mediated the relationship between the utilization of non-regular workers and firm performance. Research implications or Originality - As environmental uncertainty and competition between firms intensify, more and more firms are utilizing non-regular workers. Research on the relationship between the utilization of non-regular workers and firm performance is continuously conducted, but research on the process of explaining the specific relationship between them is still insufficient. Our study contributes the related research area by identifying the mediating role of employee competence on the utilization of non-regular workers and firm performance relationship.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.168-174
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• 2023

The purpose of this paper is to analyze entrepreneurship and to find out the impact of CEOs in the restaurant industry on corporate performance when they have entrepreneurship. Entrepreneurs need entrepreneurship to take risks and jump into the market to generate profits. Entrepreneurship is not limited to the abilities or resources held, but it is not limited to the ability or resources held, and entrepreneurship to act means the spirit to take uncertainty and preempt opportunities through innovative activities [1]. In this study, the CEO's entrepreneurship was set as an independent variable and corporate performance as a dependent variable. By applying and analyzing how the CEO's entrepreneurship affects corporate performance in the restaurant industry, the importance of entrepreneurship in the restaurant industry and the impact relationship on corporate performance are analyzed. To this end, 100 CEOs working in the restaurant industry will be surveyed using the Likert 5-point scale[2]. And an empirical analysis will be conducted through the SPSS program[3]. Entrepreneurship is a spirit that can take risks and seize opportunities through bold challenges to generate profits. Therefore, it has been confirmed that it affects corporate performance as a key factor for improving corporate performance, and from related studies, the entrepreneurship of the CEO of the restaurant industry is expected to have a positive (+) effect on corporate performance.