• Korean Journal of Culture and Social Issue
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• v.29 no.4
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• pp.477-496
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• 2023

The purpose of this study is to examine the relationship between rejection sensitivity and reactive aggression among college students, as well as to determine the mediating effects of self-concept clarity and hostile attribution bias on the relationship between rejection sensitivity and reactive aggression. A self-report questionnaire was conducted online for the purpose of gathering data from university students aged 18 years and older. A total of 250 participants were included in the analysis. SPSS 27.0 was used for data analysis to check the basic statistics of the variables, frequency analysis, reliability analysis, and correlation analysis. In addition, the model fit was checked using Amos 21.0, and the bootstrapping method verified the significance of the indirect effect. The results of this study are as follows. The results of this study are as follows. First, rejection sensitivity positively affects reactive aggression through self-concept clarity. Second, rejection sensitivity increases the hostile attribution bias, leading to an increase in reactive aggression. Third, rejection sensitivity positively influences reactive aggression in an indirect way by sequentially affecting self-concept clarity and hostile attribution bias. These findings have implications as they identify psychological factors that affect reactive aggression in college students. This suggests the importance of utilizing psychological interventions to address reactive aggression associated with social problems, such as crime, and provides a foundation for both treatment and prevention. Finally, implications for further research and limitations of this study are suggested.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.205-212
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• 2016

This study attempts to empirically investigate if value strategy and momentum strategy could be improved by using past financial data such as ROE and PER in the Korean stock market. The study observes that both strategies which are refined by the portfolios consisting of companies with higher ROE/PER ratio show higher positive excessive returns than the traditional value strategy and momentum strategy. The study discusses that the excessive returns could be due to investors' behavioral biases such as conservatism, anchoring, confirmation, and herding by using convergent approach based on psychology theory. The results are not consistent with the efficient market hypothesis insisting investors' rational behavior.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.232-232
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• 2012

반도체 공정에서 일반적으로 오염입자를 측정하는 방법은 테스트 웨이퍼를 ex-situ 방식인 surface scanner를 이용하여 분석하는 particle per wafer pass (PWP) 방식이 주를 이루고 있다. 이러한 오염입자는 반도체 수율에 결정적인 역할을 하는 것으로 알려져 있으며 반도체 선폭이 작아지면서 제어해야하는 오염입자의 크기도 작아지고 있다. 하지만, 현재 사용하는 PWP 방식은 실시간 분석이 불가능하기 때문에 즉각적인 대처가 불가능 하고 이는 수율향상에 도움이 되지 못하는 후처리 방식이다. 따라서 저압에서 오염입자를 실시간으로 측정할 수 있는 장비에 대한 요구가 늘어나고 있는 실정이다. 저압에서 나노입자를 측정할 수 있는 장비로 PBMS가 있다. PBMS는 electron gun을 이용하여 입자를 하전시킨 후 편향판을 이용하여 크기를 분류하고 Faraday cup으로 측정된 전류를 환산하여 입자의 농도를 측정하는 장비이다. 편향판에 의하여 Faraday cup으로 이동되는 입자들은 농도 차에 의한 확산현상이 발생한다. 본 연구에서는 Faraday cup 이동 시 발생하는 확산현상을 여러 크기의 Faraday cup과 polystyrene latex (PSL) 표준입자를 이용하여 분석하였다. Faraday cup을 고정 식이 아닌 이동 식으로 설계를 하여 축의 원점을 기준으로 이동시켜 가면서 입자 전류량을 측정하였으며, 이를 기준 (reference) Faraday cup의 측정량과 비교하여 효율을 계산하였다. PSL 표준 입자 100, 200 nm 크기에 대하여 cup의 크기를 바꿔 가면서 각각 평가 하였다. 그 결과 입자의 크기가 작을 수록 더 넓은 구간으로 확산되었고 크기가 작은 Faraday cup의 경우에 정밀한 결과를 얻을 수 있었다. 본 연구를 통하여 편향판을 지나면서 발생하는 입자의 확산현상에 대한 정량적 평가를 수행할 수 있었으며, 추후 PBMS 설계 시 Faraday cup 크기를 결정하고 Faraday cup array 기술을 적용하는데 유용하게 활용 될 수 있을 것으로 기대 된다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.267-277
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• 2022

Due to the increasing proportion of cloud and remote working environments, various information security incidents are occurring. Insider threats have emerged as a major issue, with cases in which corporate insiders attempting to leak confidential data by accessing it remotely. In response, insider threat detection approaches based on machine learning have been developed. However, existing machine learning methods used to detect insider threats do not take biases and variances into account, which leads to limited performance. In this paper, boosting-type ensemble learning algorithms are applied to verify the performance of malicious insider detection, conduct a close analysis, and even consider the imbalance in datasets to determine the final result. Through experiments, we show that using ensemble learning achieves similar or higher accuracy to other existing malicious insider detection approaches while considering bias-variance tradeoff. The experimental results show that ensemble learning using bagging and boosting methods reached an accuracy of over 98%, which improves malicious insider detection performance by 5.62% compared to the average accuracy of single learning models used.

• Journal of Environmental Impact Assessment
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• v.30 no.3
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• pp.155-163
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• 2021

The number of trees to be removed trees (ART) in the environmental impact assessment is an environmental indicator used in various parts such as greenhouse gas emissions and waste of forest trees calculation. Until now, the ART has depended on the forest tree density of the vegetation survey, and the uncertainty of estimating the amount of removed trees has increased due to the sampling bias. A full-scale survey can be offered as an alternative to improve the accuracy of ART, but the reality is that it is impossible. As an alternative, there is an individual tree detection using aerial image (ITD), and in this study, we compared the ARTs estimated by full-scale survey, sample survey, and ITD. According to the research results, compared to the result of full-scale survey, the result of ITD was overestimated by 25. While 58 were overestimated by the sample survey (average). However, as the sample survey is an estimate based on random samples, ART will be overestimated or underestimated depending on the number and size of quadrats.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.641-649
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• 2020

This study was conducted to examine the effects of instruction (explicit, implicit) and stimulus presentation time (300 ms, 500 ms) in ABM training. According to the Social Avoidance and Distress Scale (SADS) and the attention bias score (ABS), 60 undergraduate students were selected. All participants' SADS scores were above 82 and their ABS score was greater than 0. The training group was explicit-300 ms training group (n=10), explicit-500 ms training group (n=10), implicit-300 ms training group (n=10) and implicit-500 ms training group (n=10). In the implicit instruction group, only information about procedure was included. In the explicit instruction group, additional information about training manipulation (the probe always presented at the location of the preceding neutral stimuli) was provided. The control group were placebo-300 ms control group(n=10) and placebo-500 ms control group(n=10). After 8 sessions of training, the effect was only found in instruction conditions. The explicit training group showed significantly decreased SADS after training. ABS changed significantly in all three conditions but the treatment effect was most effective in the explicit instruction condition. No significant effect was found in the stimulus presentation time. These results suggest that explicit instruction might promote the effect of ABM training compared to implicit instruction.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.135-142
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• 2016

Although growth potential of trade between Korea and the GCC region has existed in various fields through economic and business cooperation, few data and practical study related with trade structure and cooperation between Korea and GCC region have been found and the potential for further economic expansion has not been extensively explored. In this sense, this study is to analyze trade flows between Korea and GCC region countries(Saudi Arabia, Unites Arab Emirates, Qatar) using trade intensity index, trade complementarity index and special country bias index, identify potential for further expansion of Korea's trade into the GCC region and further propose the implication of FTA between mutual countries. Our analysis of trade flows also demonstrates that there is a high level of trade complementarity between Korea and GCC region. It means that increase of trade complementarity and special country bias come from removing not only trade barrier and increasing but also capital movement. Especially, the study reveals that there is an untapped potential for Korea to increase its exports to Saudi, based on the highest complementarities. Export expansion between Korea and Saudi through FTA will create new opportunity in near future.

• Journal of the Korean Society of Propulsion Engineers
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• v.8 no.1
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• pp.8-15
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• 2004

Supersonic jets impinging on $60^{\cire}$ wedge were investigated to obtain fundamental design data for jet deflector It was of interest to study flow phenomena such as shock interaction and separation induced by shear layer. Experiments using supersonic cold flow system were conducted for Schlieren flow visualization and measurement of surface pressure. Numerical results were compared with the experimental results. The major parameters are underexpansion ratio, distance from nozzle to apex and design Mach number. Flow conditions were obtained for the wedge shock to attach on or detach from the wedge. The dominant feature of flow-field is shock pattern induced by the Interaction between the wedge shock and the barrel shock.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2009.05a
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• pp.123-127
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• 2009

The purpose of this research is to investigate the dynamic characteristics of fluidic thrust vector control using the co-flow injection. In previous research, both numerical and experimental approaches for steady state were conducted to investigate operation-parameters and detail flow structure of the fluidic thrust vector control system. Based upon the previous results, numerical unsteady calculation was conducted to analyze the dynamic characteristics of jet up- and down-ward vectoring so that the transition time and the pressure distribution along the wall, and so on were investigated.

• Survey Research
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• v.12 no.3
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• pp.49-62
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• 2011

In this paper we investigate design-based properties of both the ordinary least square estimator and the weighted least square estimator for regression coefficients in panel regression model. We derive formulas of approximate bias, variance and mean square error for the ordinary least square estimator and approximate variance for the weighted least square estimator after linearization of least square estimators. Also we compare their magnitudes each other numerically through a simulation study. We consider a three years data of Korean Welfare Panel Study as a finite population and take household income as a dependent variable and choose 7 exploratory variables related household as independent variables in panel regression model. Then we calculate approximate bias, variance, mean square error for the ordinary least square estimator and approximate variance for the weighted least square estimator based on several sample sizes from 50 to 1,000 by 50. Through the simulation study we found some tendencies as follows. First, the mean square error of the ordinary least square estimator is getting larger than the variance of the weighted least square estimator as sample sizes increase. Next, the magnitude of mean square error of the ordinary least square estimator is depending on the magnitude of the bias of the estimator, which is large when the bias is large. Finally, with regard to approximate variance, variances of the ordinary least square estimator are smaller than those of the weighted least square estimator in many cases in the simulation.