• International Area Studies Review
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• v.13 no.3
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• pp.461-480
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• 2009

In proposing the concept of flow which focuses on experiencing the sites visited by Korean wave tourists as induced by drama or movies, this paper investigated role of involvement variables for Korean wave tourists in influencing flow construct of film sites. The involvement of Korean wave was found to operate as a mechanism by which challenge, skills, focused attention on site might be more organized or more actively experienced. This recognizes that there is clearly a need for making the FIT sites exposed much by any mix of various media. This study showed that challenges and skills influence enjoyment as output factor of flow film site visitors are assumed to participate the roles of film characters, experiencing the places and atmosphere. The degree of visitors' reflections in the film optimizes awareness of flow experiences on the site. Therefore, it is necessary to provide more detailed experiential program on the film sites with the wide variety of flow-related contents in the film.

• Journal of Platform Technology
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• v.8 no.1
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• pp.16-23
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• 2020

For protecting copyright for trademark, convolutional neural network can be used to confirm genuine of trademark image. For this, repeated training one trademark image degrades the performance of machine learning because of overfitting problem. Therefore, this type of machine learning application generates training data in various way. But if genuine trademark image is rotated, this image is classified as not genuine trademark. In this paper, we propose the way for extending training data to confirm genuine of trademark image which is rotated. Our proposed way generates rotated image from genuine trademark image as training data. To show effectiveness of our proposed way, we use CNN machine learning model, and evaluate the accuracy with test image. From evaluation result, our way can be used to generate training data for machine learning application which confirms genuine of rotated trademark image.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.4 no.3
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• pp.245-253
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• 2006

A test of the 1/3 scale model was conducted to verify the tip-over analysis of a dry. concrete storage cask under a hypothetical accident condition. The tip-over analysis was executed using the velocity at each point as the initial conditions of the model just before the impact. The initial velocity was determined from the initial angular velocity, which would make the equivalent kinetic energy to the potential energy. To confirm the structural integrity of the canister, the visual testing and the non-detective testings such as Liquid Penetrant testing and Ultrasonic Testing were conducted. The lid of a storage cask was plastically deformed near the impact point. The structural integrity of storage cask was maintained. To verify the tip-over analysis the strains and the accelerations acquired by the tip-over test were compared with those by the analyses. The results of the analysis were larger than the test results about two times.

• Smart Media Journal
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• v.11 no.7
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• pp.70-75
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• 2022

In 2019, the government improved the system to reduce the maximum weight of economic feasibility items in the comprehensive evaluation from 50% to 45% in order to improve the problem that economic feasibility is a decisive factor in passing the preliminary feasibility study. This study is to analyze the effect of system improvement in 2019 and verified the difference between before and after system improvement. As a result of regression analysis and correlation analysis, both periods showed high correlation, and the difference through Z-test was analyzed as not statistically significant. This result means that institutional improvement to reduce the impact of economics was not effective. Therefore, it is judged that it is necessary to discuss the design of a more effective comprehensive evaluation study through research such as reevaluating the weights of each item in the comprehensive evaluation in various ways in existing projects.

• The Journal of Korean Association of Computer Education
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• v.14 no.4
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• pp.33-41
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• 2011

This study was conducted to identify factors that influenced teachers' adoption of digital textbooks and causal relationships among the factors identified. Chasm theory was used in developing strategies for adoption of digital textbooks that consider teachers' innovativeness. This study also employed the information technology adoption model of Davis (1989) that illustrates decision making processes for the adoption of instructional media such as digital textbooks. Based on these two theories, a measurement instrument measuring teachers' innovativeness, perceived usefulness, perceived ease of use, and intention of use was developed and validated through a series of reliability and validity tests. Causal relationships among the factors were examined using structural equation modeling. The result indicated that: a) perceived ease of use had a directional effect on perceived usefulness and an indirect effect on intention of use; and b) perceived usefulness had a direct effect on intention of use. Implications of this finding are discussed especially for the efforts in developing strategies for teachers' adoption of digital textbook. For example, when digital textbooks are introduced into public schools, teachers' perception of the usefulness of digital textbooks, beyond just ease of use, should be considered.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.1
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• pp.55-60
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• 2009

This study was conducted to measure tea surface colors using the visible bands ($400{\sim}700$ nm) with near-infrared spectroscopy (NIRS). The surface colors of 117 tea products were measured with a colorimeter. The $a^*/b^*$ (CIE color scale) or a/b (Hunter color scale) ratios in different tea products accounted for about 99.7% of the variation in fermentation degree (FD), indicating that the $a^*/b^*$ (a/b) ratio is a very useful trait for assessing fermentation degree. Also tea powders were scanned in the visible bands used with NIRS. Calibration equations for surface colors and fermentation degree were developed using the regression method of modified partial least-squares (MPLS) with internal cross validation. The equations had low SECV (standard errors of cross-validation), and high $R^2$ (coefficient of determination in calibration) values with $0.779{\sim}0.999$, indicating that the whole bands ($400{\sim}2500\;nm$) with NIRS could be used to rapidly measure traits related to surface color, fermentation degree and other chemical components in tea products with high precision and ease at a time.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.5
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• pp.29-36
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• 2012

Cloud computing has gained great popularity because users don't need to install any softwares as well as maintain hardwares and service providers also can utilize its resources through virtualization of servers. As workflows feature variableness and servers are heterogenous, efficient scheduling of workflows in cloud computing is important factor in view of responsibility and resource utilization. In this paper, we propose a new workflow scheduling named 2-step scheduling which prioritizes each workflow through its significance degree and allocates resources to workflows through decision table. The goal of this 2-step scheduling is to improve responsibility as well as availability versus cost. Simulation results show that the proposed scheme in contrast of counterparts can improve the responsibility as well as availability of resource.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.15 no.4
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• pp.168-174
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• 2005

In this study, the numerical simulation of drying processes for porous materials is performed by employing the hierarchical multi-scale modeling and the nano-scale material properties obtained from the molecular dynamics simulation. The multi-scale simulation system is set up using pre- and post-processors and the drying process of electric porous ceramic insulator is simulated. The temperature, moisture, residual stress, and displacement distributions are compared with those based on homogenized properties.

• Korean Journal of Forensic Psychology
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• v.12 no.2
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• pp.199-221
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• 2021

The purpose of this study is to examine some factors affecting the decision-making process of white-collar crime. In a between-subject experiment, 102 adult white-collar workers were randomly assigned to a financial pressure condition or tit for tat strategy condition. Participants went through a decision-making process in a modified iterated prisoner's dilemma for a white-collar crime scenario to earn points. The obtained score indicated the risk of committing a crime. The lower the score, the higher was the risk of participating in a crime. The results showed that participants who received only tit for tat strategy information without financial pressure instructions showed the lowest risk of participating in a crime, and those who received only financial pressure without the strategic information had the highest risk of participating in a crime. In addition, those who received the financial pressure instructions were more likely to participate in a crime than those who did not receive financial pressure instructions regardless of the provision of strategic information. The results of this study propose the need for measures to legally relieve financial pressure, the need for education on white-collar crimes for office workers, and the need for a decision-making structure within the enterprise that is not dogmatic but cooperative and mutually verifiable.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.1D
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• pp.107-117
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• 2008

Private financing is playing an increasing role in public infrastructure construction projects worldwide. However, private investors/operators are exposed to the financial risk of low profitability due to the inaccurate estimation of facility demand, operation income, maintenance costs, etc. From the operator's perspective, a sound and thorough financial feasibility study is required to establish the appropriate capital structure of a project. Operators tend to reduce the equity amount to minimize the level of risk exposure, while creditors persist to raise it, in an attempt to secure a sufficient level of financial involvement from the operators. Therefore, it is important for creditors and operators to reach an agreement for a balanced capital structure that synthetically considers both profitability and repayment capacity. This paper presents an optimal capital structure model for successful private infrastructure investment. This model finds the optimized point where the profitability is balanced with the repayment capacity, with the use of the concept of utility function and multi-objective GA (Generic Algorithm)-based optimization. A case study is presented to show the validity of the model and its verification. The research conclusions provide a proper capital structure for privately-financed infrastructure projects through a proposed multi-objective model.