• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.185-193
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• 2005

This study develops and introduces the program for letting learners study statistics in a systematic and efficient way by using Excel tools such as VBA and Macro, when they study statistical inference at two populations. This study helps learners understand the steps on statistical inference at two populations by utilizing the systematic and visual techniques.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.11a
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• pp.319-320
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• 2007

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.383-391
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• 2020

The purpose of this study was to identify the moderating effect of self-control in the relationship between online game addiction and depression among adolescents exposed to the online game environment. A total of 378 respondents who are high school students in K Metropolitan City were selected for the current study. The process macro program developed by Andrew F. Hayes was used to analyze for the moderating effect and the SPSS 25.0 program was used for frequency, descriptive statistics, and correlation analysis. The results showed that online game addiction in adolescents had a significant positive effect on depression and self-control had a negative effect on depression, and self-control had a moderating effect on the relationship between online game addiction and depression in adolescents. The higher the online game addiction among adolescents, the higher the depression, and the influence depends on the level of self-control.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.1-8
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• 2022

In this paper, we propose a more effective unique identifier allocation method for macro expansion in a single-process multicore parallel computing environment that does not require locks. Our key idea for such an allocation method is to remove sequential dependencies using the remainder operation. We confirmed that our lock-free method is suitable for improving the performance of parallel macro expansion through the following benchmark: we patched an existing library, which is based on a sequential unique identifier allocation, with our proposed method, and compared the performances of the same program but using two different versions of the library, before and after the patch.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.6
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• pp.1509-1517
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• 1993

The purpose of this study is to develop a program for the automatic derivation of the symbolic equations necessary for the kinematic and dynamic analyses of the spatial mechanism. For this purpose, a symbolic manipulation package called MCSYMA is used. Every symbolic equation is formulated using relative joint coordinate to obtain the numerically efficient system equations. These equations are produced in FORTRAN statements and linked to a FORTRAN program for numerical analysis. Several examples are taken for comparison with the commercial package called DADS which is using Cartesian coordinate approach. Also, this symbolic formulation approach is compared with a conventional numerical approach for an example. The results show that this symbolic approach with relative joint coordinate system is most efficient in computational time among three and is recommended for the derivation of macro elements frequently used.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.18 no.1
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• pp.13-21
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• 2009

Interactive Graphic Robotics Integrated Programming(IGRIP) can handle various types of robot models and can exchange graphic or numerical data easily with other CAD software. In a cutting process of shape-steels, however. IGRIP is inconvenient because the users must generate all the tag points manually. In this study we developed an automation program module in order to generate the tag points automatically in IGRIP This program can read and analyze the macro data containing the information for cutting processes of shape-steels and can generate automatically the parts, the devices, the tag points and the Graphic Simulation Language(GSL) program files useful in IGRIP.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.279-287
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• 2007

Data fusion is the process of combining multiple data in order to produce information of tactical value to the user. Data fusion is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences. Data fusion is also called data combination or data matching. Data fusion is divided in five branch types which are exact matching, judgemental matching, probability matching, statistical matching, and data linking. In this paper, we develop was macro program for statistical matching which is one of five branch types for data fusion. And then we apply data fusion and association rule techniques to environmental data.

• The Korean Journal of Applied Statistics
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• v.17 no.1
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• pp.165-172
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• 2004

Recently, there have been several studies to develop the multivariate data analysis system which can be readily used. The common characteristic of these studies is to develop the GUI system to which advanced statistical methods can be conveniently applied. In an extension of these studies, this study aims to supply users in various fields an interactive system with the convenience of the environment of GUI, which is constructed with the Excel macro and VBA, to apply multivariate data analysis methods easily. This system provides a graphic-oriented and menu-centered user interface in the Microsoft Excel which is widely used spreadsheet and analysis program.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1703-1711
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• 2010

Electric power utilities are facing increasing uncertainties regarding the economic, political, societal, environmental constraints under they operate and plan their future systems. The utilities have to integrate consumers' interruption cost representing reliability worth of electricity into the process of determining the optimum investment level. In order to do so, the estimated outage cost must be included into quantitative index corresponding to system capital and operation investment cost to establish an optimal expansion plan. This paper is a study on the outage cost assessment by using macro approach for calculating IEAR(Interrupted Energy Assessment Rates) and the TRELSS(Transmission Reliability Evaluation for Large-Scale Systems) program was used to calculate EENS(Expected Energy Not Served).

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.576-585
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• 2021

This study was a descriptive research study to examine the factors influencing cyberbullying tendency among college students. The data used in this study were collected from July 31 to August 13, 2020, from 396 students attending universities across South Korea. The collected data were analyzed using frequency, percentage, mean, standard deviation, Pearson correlation coefficients, PROCESS macro model 4, Bootstrap, Sobel test using IBM SPSS Statistics version 20.0 and PROCESS macro for SPSS. The results of this study are as follows. First, there was a significantly negative correlation between academic stress and self-control (r=-.246, p<.001). There was also a positive correlation between academic stress and cyberbullying tendency, but it was not significant (r=.096, p=.055). Second, the mediation effect of self-control is significant between academic stress and cyberbullying tendency (R2=.039, p<.001). Therefore, Academic stress and self-control should be considered in the development of cyberbullying prevention programs, and further research is also needed to verify the effectiveness of the cyberbullying prevention program based on this study.