• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.89-99
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• 2000

To cope with the limits of conventional O-D trip matrix collecting methods, several approaches have been developed. One of them is bilevel Programming method Proposed by Yang(1995), which uses Sensitivity Analysis Based(SAB) algorithm to solve Generalized Least Square(GLS) problem. However, the SAB a1gorithm has revealed two critical short-comings. The first is that when there exists a significant difference between target O-D matrix and true O-D matrix, SAB algorithm may not produce correct solution. This stems from the heavy dependance on the historical O-D information, in special when gravel Patterns are dramatically changed. The second is the assumption of iterative linear approximation to original Problem. Because of the approximation, SAB algorithm has difficulty in converging to Perfect Stackelberg game condition. So as to avoid the Problems. we need a more robust and stable solution method. The main purpose of this Paper is to show the problem of the dependency of Previous models and to Propose an alternative solution method to handle it. The Problem of O-D matrix estimation is intrinsically nonlinear and nonconvex. thus it has multiple solutions. Therefore it is necessary to require a method for searching globa1 solution. In this paper, we develop a solution algorithm combined with genetic algorithm(GA) , which is widely used as probabilistic global searching method To compare the efficiency of the algorithm, SAB algorithm suggested by Yang et al. (1992,1995) is used. From the results of numerical example, the Proposed algorithm is superior to SAB algorithm irrespective of travel patterns.

• Journal of Service Research and Studies
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• v.7 no.4
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• pp.151-164
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• 2017

This study aims to explore the effect of quality factors and learning styles on users' satisfaction in the use of business simulation tools in business education. For this purpose, statistical methods such as reliability test, factor analysis, ANOVA, regression analysis were carried out using the survey data from university students. The quality factors of education using simulation were classified into contents, education environment, interpersonal activities, and instructor support while learning styles were classified into proactive, self-directed, environmental-dependent, and passive styles. The results showed that each quality factors of education using business simulation had a strong positive effect on user satisfaction. Proactive and environment-dependent group had higher satisfaction than other groups. Learning styles had moderating effects on the quality-satisfaction relationship, and the direction and degree varied depending on the quality factors and learning styles. Theoretical and practical implications were drawn from these findings.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.285-297
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• 2014

This research is involved in looking into the cognition pattern of social worker position of a fourth-year student majoring in Social Welfare. The purpose of this research is to offer a basic data needed for education of the students who are preparing to get a job of a social worker. For this, applying Q methodology, this research made an objective analysis of their subjective response to social worker position targeting the 30 students in the department of social welfare at the four-year-course college located in Gyeongsangbuk-do and Gyeongsangnam-do. The research results showed that the cognition pattern of the college students' occupational view on social welfare position could be categorized into the three; The first pattern is a "job-skeptic & reality-evasive" type, who tends to perceive the position of a social worker as the one having a lot of job exhaustion and much workload, showing a pessimistic view on the meaning or a sense of mission of a social worker position. The second pattern is a "practice-centered & specialized-job-seeking type" who tends to think much of practical aspects of a social worker job and to seek after the position of a social worker as a specialized job, and at the same time to rely on the policy or system for a social worker position. The third pattern is a "value-oriented & self-achievement type", who tends to think much of the necessity of value or ethics in putting social welfare into practice and also to make much of self-achievement through the channel of a social welfare worker position. Taken together, it might be possibile to turn out professional human resources, but this research thinks it is more necessary to place the education of values of a social welfare worker.

• Journal of the Korea Society for Simulation
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• v.15 no.1
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• pp.77-85
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• 2006

The cost of downloading content from the Internet may be costly for mobile device users using its 3G connection, because the 3G connection cost to download data from the Internet is a function of the amount of data downloaded. This paper introduces an approach in which mobile devices, called peers, form an ad hoc network and share their downloaded content with others. As an example, spectators may want to collect/share information about players and game records in a stadium. In an art gallery, visitors may want to retrieve some background information about the displayed work from the nearby ad hoc network. In an outdoor class, a teacher may download today's topic files from the Internet, and all students may share the content with minimal or no cost paid. This is possible if mobile device has both a 3G interface and a wireless LAN interface. If the peers want to improve privacy md discourage traffic analysis when sharing content, this paper describes a low-delay anonymous connection between the sending peer and the receiving peer using two additional peers. Simulation results show that the transmission time overhead of the anonymous connection may increase 50% or less as the number of peers increase or the peers are scattered over the larger area.

• Korean Security Journal
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• no.42
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• pp.205-227
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• 2015

The Korean Peninsula is put in a position to carry out a highly strategic game vis-a-vis nK, which is asserting itself as a nuclear power amongst Northeast Asia's complex dynamics. While the international community recognizes nK's possession of nuclear weapons as released secret based on nK's three nuclear tests, shrewd strategic thinking is needed by ROK to secure itself as a non-nuclear nation in order to assume a responsible role to the international community, while simultaneously being ready to respond at all times for nK's military provocations. ROK must continue with its twofold strategy, by firm response to military confrontation with nK and maintaining flexible policy of tolerance in the areas of economy and ethnicity. Various strategic options to overcome nK's nuclear threats have been presented to ROK, whose possession of nuclear weapons have been difficult, and nK's nuclear capability is a real threat to ROK's national security. We must be able to respond to nK's nuclear threats strictly from ROK's national security perspective. This thesis aims to propose a response policy for nK's nuclear capability and nK's nuclear attack based on analysis of such nuclear damage, ROK Government's response posture against nK's nuclear threats, centered around ROK Government's non-military response posture.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.463-473
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• 2019

This study aimed to investigate the relationship between soccer games of Korea vs. Japan and emotions of anti-Japan and anti-Korea, empirically. For that, this study selected 2,400 comments from Naver and 5CH where people could write their SNS comments on EAFF E-1 football championship 2017. The study results got by frequency analysis and one-way ANOVA were as follows. First, Korean showed amity with own team and hostility to the opponents, and stronger hostility toward Japan. Japanese showed hostility to own team, and it was especially strong when vs. Korea. Second, Korean showed stronger hostility toward Japan than others. Japanese showed stronger hostility to own team when vs Korea. From those results, this study could conclude that soccer games of Korea vs. Japan could be a field to express those emotions rather than effect on the emotions of anti-Korea and anti-Japan. By the empirical method of this study on the emotions of anti-Japan and anti-Korea unlike advance studies, this could receive favorable evaluation.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.171-187
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• 2018

The purpose of this study is to investigate the lifestyle factors influencing behavioral problems such as Inattention, hyperactivity/impulsivity, and internet overuse in elementary and middle school students. Data from 889 elementary school students and 676 middle school students were used and teacher reporting on students' attention deficit and hyperactivity and impulsivity symptoms was also included in the analysis. Lifestyle included opportunities for family interaction, sleep, watching TV, playing Video games, eating breakfast, eating junk food, and private education. As a result of stepwise regression analysis, Video games, junk foods, and family interactions significantly predicted the inattention of elementary and middle school students. Video games, TV, junk foods, and family interactions significantly predicted elementary school students' hyperactivity and impulsivity, but the lifestyle variables hardly accounted for the hyperactivity/impulsivity of middle school students. Video game, and family interactions significantly predicted Internet overuse for both elementary and middle school students. Current study suggest that family interaction opportunities and the use of video games, TV and junk food should be considered to intervene in behavior problems.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.1-9
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• 2019

In this paper, we propose an evaluation model to evaluate the usability of locomotion technologies in a virtual environment (VE; Virtual Environment) and try to verify them through a case study. The order of this study firstly, the factors for analysis are derived through theoretical approach to locomotion technology on VR. Second, the definition and concept of mobile technology and usability evaluation in VR are established theoretically and the elements for analysis are derived through the literature survey through the theoretical approach to VE. Third, based on this, a usability evaluation model is proposed to evaluate locomotion technologies in the VE. Finally, the results are derived by experimenting and analyzing the existing VR games applied with the three locomotion technologies derived from the literature survey. Through this paper, the locomotion technology in VR is not used separately, but can propose mobile technology that conforms to VR game content characteristics by assessing its usability and analyzing it, and it is considered to be a significant data that can suggest criteria for identifying problems in locomotion technology.

• The Journal of Bigdata
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• v.5 no.2
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• pp.77-84
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• 2020

In this study, we conducted a study on the win-loss predicton analysis of korean professional baseball by artificial intelligence models. Based on the model, we predicted the winner as well as each team's final rank in the league. Additionally, we developed a website for viewers' understanding. In each game's first, third, and fifth inning, we analyze to select the best model that performs the highest accuracy and minimizes errors. Based on the result, we generate the rankings. We used the predicted data started from May 5, the season's opening day, to August 30, 2020 to generate the rankings. In the games which Kia Tigers did not play, however, we used actual games' results in the data. KNN and AdaBoost selected the most optimized machine learning model. As a result, we observe a decreasing trend of the predicted results' ranking error as the season progresses. The deep learning model recorded 89% of the model accuracy. It provides the same result of decreasing ranking error trends of the predicted results that we observe in the machine learning model. We estimate that this study's result applies to future KBO predictions as well as other fields. We expect broadcasting enhancements by posting the predicted winning percentage per inning which is generated by AI algorism. We expect this will bring new interest to the KBO fans. Furthermore, the prediction generated at each inning would provide insights to teams so that they can analyze data and come up with successful strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.429-438
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• 2021

Owing to the development of science technology, particularly the smart concept and defense policy factors of the 4th industry, military weapon systems are advanced, and the scientific and operational force is reduced dramatically. The aspect of the future war is characterized by the operation of troops with reduced forces from advanced and scientific weapon systems in an operational area that has expanded more than four times compared to the present. Reflecting on these situational factors, it is necessary to improve combat methods based on the changes in the battlefield environment and advanced weapon systems. In this study, to find a more efficient future combat method in a changing war pattern, this study applied the battle experiment methodology using Vision21 war game model, which is an analytical model used by the army. Finally, this study aimed to verify the future combat method and unit structure. Therefore, the scenario composition and experiment method that reflect the change in the ground operational environment and weapon system was first composed. Subsequently, an analysis method based on the combat effectiveness was applied to verify the effective combat performance method and unit structure of future infantry units.