• Journal of the Korea Society for Simulation
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• v.19 no.2
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• pp.127-135
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• 2010

The validation of a simulation model is a key to demonstrate that the simulation model is reliable. However, among various validation methods have been introduced, it is very poor to research the specific techniques for the time series data. Therefore, this paper suggests the methodology to verify the simulation using the time series data by Wavelet Transform, Power Spectrum and Coherence. This method performs 2 steps as followed. Firstly, we get spectrum using the Wavelet transform available for non-periodic signal separation. Secondly, we compare 2 patterns of output data from simulation model and actual system by Coherence Analysis. As a result of comparing it with other validation techniques, the suggested way can judge simulation model accuracy more clearly. By this way, we can make it possible to perform the simulation validation test under various situations using detailed sectional validation method, which has been impossible using a single statistics for the whole model.

• Proceedings of the Korea Association of Information Systems Conference
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• 2000.05a
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• pp.177-183
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• 2000

• The KIPS Transactions:PartD
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• v.19D no.3
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• pp.257-262
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• 2012

The aim of this study is to present the importance of Risk Management and Risk Classification System in Supply Chain to cope with the rapidly changing distribution environment flexibly through the cooperation between a shipper and a distribution company. First of all, we considered existing studies related to the risks of Supply Chain Risk and analyzed 47 different risk factors by 18 kinds of risk causing factors. Second, we collected opinions of corporation specialist group based on the analyzed risk factors and then classified the risk factors into three categories and ten sub-categories. Third, we conducted a survey targeting shipping companies and distribution companies about classified risk and then verified the validity of Supply Chain Risk Classification using verification techniques such as Confirmatory Factor Analysis, Concentration Validity and Distinction Validity. Finally, we suggest some implications based on the verification results.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.103-109
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• 2023

In Korea, software education is implemented from elementary school. As a representative software education tool for elementary schools, various chess games reconstructed based on the rules of Western chess games are being used. On the other hand, Yutnori, one of our traditional games, also includes elements of software education, so research on this is needed. Therefore, in this study, a Yutnori program based on computational thinking using an educational programming language, Entry, and a turtle robot was developed and its validity verified. As a result of the validity verification, the CVR value was higher than 0.7 in the degree of agreement with the subject achievement standard (3 questions), the appropriateness of learning materials (4 questions), and the possibility of class application (3 questions). Therefore, it could be judged that the learning program developed in this study has a high level of agreement with the subject achievement standards, appropriate learning materials, and high possibility of being applied to classes. In order to generalize this content in the future, the effectiveness will need to be verified, and experimental research will be needed to understand this.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2583-2588
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• 2009

This study deals with the shock response analysis of HDD subjected to a half-sine shock pulse and its experimental verification. Comparatively, accurate computer simulation allows designers to determine complete mechanical information during the product impact time period, compared with only segmental messages by sensors in a test, to predict potential failures. But, impact/shock simulation technology is rather sensitive to various factors to predict the shock behavior without validation. In our shock simulation, the methodology of analysis with LS-DYNA3D and test validation is adopted to predict the shock behavior of HDD. We can confirm the soundness of the present shock simulation through the comparison with electromagnetic shock test(200G/1ms) and linear drop test(300G/2ms).

• International Area Studies Review
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• v.15 no.3
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• pp.583-603
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• 2011

This study was designed to comprehensively understand and separate the characteristics of recreation forests of Korea through the multi-variate analysis for the provision of fundamental materials for recreation forests development policies and planning, and attempted to evaluate on the validity of classification of recreation forests, which has never been performed before. According to analysis results, recreation forests could be divided into 4 types; type I(recreation forests whose ecological nature status is not good, but the risk of calamity is low and accessibility is good), type II(recreation forests whose the risk of calamity is low, but ecological nature status is not good, slope is steep, and accessibility is poor), type III(recreation forests that have charming vegetation and landscape, various rest opportunity, and a gentle slope, but poor accessibility), and type IV(recreation forests that ecological nature status is good, but have poor landscape, less rest opportunity, and a steep slope). Also, each type was adjusted as follows; type I($25{\rightarrow}24$ reviews), type II($25{\rightarrow}26$ reviews), type III($17{\rightarrow}16$ reviews), and type IV($25{\rightarrow}25$ reviews). This study can be said to show the usability of validation of classified types, which was not done before. It is clear that the classification of recreation forests increases the efficiency in policy making and performance. Furthermore, by validating the separated types, we could expect high efficiency in policy making and performance on planned recreation forests in the future.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.63-76
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• 2006

Several clustering algorithms to analyze gene expression data and cluster validation techniques that assess the quality of their outcomes, have been suggested, but evaluations of these cluster validation techniques have seldom been implemented. In this paper we compared various cluster validity indices for simulation data and real genomic data, and found that Dunn's index is more effective and robust through small simulations and with real gene expression data.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.267-272
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• 2001

The purpose of this study is to suggest the process and calculating method of feasibility study for the reconstruction apartment projects, and the results of this study is fundamental knowledge for the exact and exquisite plan. The process of this study are as following : 1. Research for the process and peculiar character of reconstruction project. 2. Investigate input and output item and suggest the calculating methods that are generally accepted. 3. Suggest the general process on feasibility study for reconstruction apartment project.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.44-54
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• 2008

The objective of this research is to develop a measurement instrument for service recovery quality in the Internet commerce setting. To this same end, Parasuraman et al.(2005) have devised a scale called E-RecS-QUAL, which we revised and supplemented to develop another instrument named eSR-Q. To guarantee its reliability and validity, this instrument went through the refinement and validation processes for internal consistency and construct validity in terms of convergent, discriminant, and nomological validity. Our final scale consists of four dimensions including responsiveness, compensation, contact, and apologies altogether with fourteen measures. Overall, this research deals with the related research background, the scale development and validation processes, its limitations, and future research directions.

• 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.