• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.367-379
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• 2022

In this paper, a multilayer radar absorbing structure was designed using the Particle Swarm Optimization (PSO) algorithm, and the characteristics of the multilayer radar absorbing structure were analyzed. It was shown that design values can be derived quickly and accurately by applying PSO to the design of a multilayer radar absorbing structure, and it is also shown that the optimal multilayer radar absorbing structure can be designed especially for an oblique incident. In addition, it was shown that the optimal value that meets the performance requirements can be determined even in a combination of various design parameters. It is presented through a comprehensive flowchart including the equations and detailed descriptions of all variables for each step. From the results of this paper, it is possible to omit complex and many calculations for designing a multilayer radar absorbing structure, and it is possible to use various composite materials. It can be utilized in the design and development of multilayer radar absorbing structures.

• Analytical Science and Technology
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• v.15 no.3
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• pp.236-242
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• 2002

A method was investigated to determine the thickness of coating on steel sheet using rf glow discharge atomic emission spectrometer. The RF gas-jet boosted glow discharge has such salient feature as good pleasure stability and high sputtering efficiency that it was possible to determine the thickness of silicon resin film on zinc electroplated steel. The erosion speed variation is dependent on discharge power, gas flow rate and discharge pressure. therefore determine discharge condition to measure the thickness of coating on steels. The fundamental studies have been carried out to investigate an optimum condition for in-depth analysis and composition of zinc coating on steel. In this study, the calibration curve for thickness determination of silicon resin film was found to be linear in the range of $1000{\sim}3500mg/m^2$ film thickness. The developed rf gas-jet boosted glow discharge was applied to the analysis of zinc coating and silicon resin film on steel made by RIST.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.244-246
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• 1999

본 논문에서는, multiple-buffered crossbar 스위치를 이용한 다층 연결 망의 성능 분석 모형을 제안하고, 스위치에 장착된 buffer의 개수 증가에 따른 성능 향상 추이를 분석하였다. Buffered 스위치 기법은 다층 연결 망 (Multistage Interconnection Network, MIN)의 내부의 데이터 충돌 문제를 효과적으로 해결할 수 있는 방법으로 알려져 있다. 제안된 성능 분석 모형은 먼저 네트웍 내부 임의 스위치 입력 단에 유입되는 데이터 패킷이 buffered 스위치 내부에서 전송되는 패턴을 확률적으로 분석하여 수립하였다. 분석 모형의 수학적 복잡도 절감을 위하여 확률식 유도 과정에 정상상태 확률 rosa(steady state probability)을 도입하였다. 제안한 모형은 스위치의 크기 및 스위치에 장착된 buffer의 수와 무관하게 확대 적용이 가능하다. 제안한 수학적 성능 분석 연구의 실효성 검증을 위하여 병행된 시뮬레이션 처리 결과는 상호 미세한 오차 범위 내에서 모형의 예측 데이터와 일치하는 결과를 보여 분석 모형의 타당성을 입증하였다. 2$\times$2 스위치로 구성된 8$\times$8 MIN을 대상으로 분석을 시행한 결과 스위치에 2~4개의 buffer를 장착했을 경우 unbuffer 스위치 경우와 비교하여 네트웍 정상상태 Throughout의 증가율이 높고 네트웍 Delay 또한 낮아져 효율적인 것으로 나타났다. 따라서 2~2 crossbar 스위치로 구성된 MIN의 경우 스위치에 장착된 buffer의 개수가 네 개 정도일 경우가 가격 대 성능비 면에서 가장 유리한 것으로 연구되었다.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.55-70
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• 2017

In order to understand job burnout, it is necessary to consider not only the working environment according to the market environment but also the social situation of the team or the organization. This study analyzed the effects of job demands and job resources on job burnout based on JD-R theory. In other words, the team-level variables, servant leadership and HRM control types, were tested for the effect of moderating the individual workload, emotional labor and job burnout. The results of empirical analysis showed that the higher the self-efficacy, the less job burnout, whereas the higher the workload and emotional labor, the more job burnout. Second, the more positive the team level input and result oriented HRM are, the less positive regression relation of workload and job burnout is. Finally, it was found that the intensity of the regression relation of negative self-efficacy and job burnout was amplified in the team with servant leadership.

• Journal of the Korean Society of Child Welfare
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• no.55
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• pp.143-171
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• 2016

This study investigated the effects of individual characteristics, school factors, and community factors on adolescent school violence behaviors. Data from a total of 1,777 middle school students from 50 schools in the Seoul and Gyeonggi regions were used for analysis. A hierarchical generalized linear modeling was employed to conduct a two-level analysis. Results showed that adolescents' individual factors, including attitudes toward violence, parental attachment, child abuse experiences, and affiliation with delinquent peers, as well as school factors including teacher's abusive classroom discipline, affected adolescent school violence behaviors. In addition, neighborhood disorder was found to be significantly positively correlated with adolescents' school violence. The results of this study suggest that for an understanding of school violence and to prepare countermeasures accordingly, integrated consideration of various environmental contexts in adolescents' daily lives, such as family, school, and community environments, is necessary. A multidimensional, integrated intervention plan to effectively resolve school violence based on these research results is discussed.

• Journal of the Korean Geosynthetics Society
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• v.20 no.1
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• pp.21-34
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• 2021

In this study, to solve a problem that cannot consider the contribution effect of each layers when the apparent earth pressure in homogeneous ground is applied to multi-layered ground, the measured earth pressures at World were investigated and analyzed. It has been confirmed that the apparent earth pressure in mulit-layered ground is different from single ground and that the extra layer's contribution to the earth pressure cannot be considered. The conventional method of calculating the apparent earth pressure for single ground was extended to mulit-layered ground, and proposed and verified the applicable method for both single and mulit-layered ground. The proposed methods predicted the earth pressure closer to the measurements at the excavation depth of 0.1Z/H or below, and the prediction reliability was evaluated to be better than the conventional method. Among the proposed methods, the method of considering the area ratio of the active failure has a geotechnical validity and predicts the most similar results to the actual earth pressure. To confirm the applicability of the proposed methods, it was presented by comparing and analyzing the results of the proposed methods with the conventional method for the actual case.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.5
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• pp.55-64
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• 2015

In this study, negative air ions, which can increase comfort and positively influence human health, was set as an evaluative factor for school forests. The characteristics, location and microclimate of school forests were examined to determine an effective school forest model for maximum negative air ion generation. It also aimed to provide basic data for the development of urban green fields. The negative air ion concentrations were different according to the green types. The order from the highest to the lowest was: single-layer structure($934ea/cm^3$) > multi-layer structure($794ea/cm^3$) > grass($553ea/cm^3$) > bare ground($529ea/cm^3$). As for the correlation with microclimate, negative air ion concentration was negatively correlated with temperature. The negative air ion concentration was significantly different according to planting type. The negative air ion concentration was higher at single-layer structure sites than at multi-layer structure sites, which appears to indicate that the temperature is higher when the vegetation structure was single-layer compared to multi-layer. Wind speed was higher at the single-layer planted site than at the multi-layer planted site. The vegetation wind shielding effect was lower at single-layer planted sites than at multi-layer planted sites. The single-layer planted site provided more favorable conditions for the generation and dispersion of negative air ions.

• The KIPS Transactions:PartB
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• v.8B no.4
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• pp.327-334
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• 2001

본 논문에서는 기울기하강과 동적터널링이 조합된 학습알고리즘의 다층신경망을 이용한 고신회성의 회귀분석 모델을 제안하였다. 기울기하강은 빠른 수렴속도의 최적화가 가능하도록 하기 위함이고, 동적터널링은 국소최적해를 만났을 때 이를 벗어난 새로운 연결가중치를 설정하여 전역최적해로 수렴되도록 하기 위함이다. 또한 대용량의 입력 데이터를 통계적으로 독립인 특징들의 집합으로 변환시키는 주요성분분석 기법의 속성을 살려 학습데이터의 차원을 감소시킴으로서 고차원의 학습데이터에 따른 회귀분석 모델의 제약도 동시에 해결하였다. 제안된 기법의 신경망을 3개의 독립변수 패턴을 가진 암모니아 제조공정문제와 10개의 독립변수 패턴을 가진 자동차 연비문제에 각각 적용하여 시뮬레이션한 결과, 기존의 역전과 알고리즘의 신경망이나 주요성분분석에 의한 차원을 감소시키지 않은 학습패턴을 이용한 신경망보다 각각 더욱 우수한 학습성능과 회귀성능이 있음을 확인할 수 있었다. 또한 학습패턴의 영평균 정규화로 회귀용 신경망의 성능을 더욱 더 개선하였다.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.2
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• pp.192-200
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• 1999

위성의 전지는 위성의 수명과 직접적인 영향을 갖고 있으며 이것의 정상동작여부에 따라 위성의 안정적인 임무수행여부가 결정된다. 상대적으로 일반화된 셀 모델링의 최근 개발은 NiH2셀의 동특성을 시뮬레이션 하기 위한 기본적인 원리에 기반을 둔 접근방식이다. 그러나 이러한 일반적인 방정식을 통해 비선형성과 전력상태를 포함하는 전지 특성을 예측하는 것은 사실상 불가능하다. 본 연구에서는 다층신경회로망을 이용하여 비선형 특성를 갖는 니켈-하이드로진 전지 특성을 모델링 하였으며, 모델링된 상수값은 위성의 식시간 동안의 전지 전력상태 분석을 위해 사용되었다. 모델링 결과의 정확성을 확인하기 위해 니켈-하이드로진 전지시험결과 분석자료와 비교 검토 되었다. 전지 동작모드는 정상동작모드와 실패모드로 나누어 분석되었다. 정상동작모드는 위성의 식시간 동안 아크젯 동작 여부에 의해 각각 분석되었으며, 또한 태양전지와 배터리 셀 일부의 고장으로 인한 실패모드에서의 전지전력상태가 분석되었다.

• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.119-141
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• 2006

This study aims to explore the status and characteristics of the working poor and to identify the major determinants of their statistic status. For this, longitudinal panel data (from 2nd wave(1999) data to 7th wave(2004) data) from Korean Labor and Income Panel Study (KLIPS), is used. The data is analyzed by adopting Hierarchical Generalized Linear Model (HGLM), which is known as an app.opriate data analysis method for the hierarchically structured data, to look at the factors that affect on the poverty status of the working people. The results show that 1) it is estimated that about 1 out of 10 working people (about 10.0%) are poor, and 2) sex, education level, marital status, region where they lives, employment status, occupation type, and industry type that they are working at are significant predictors in determining their poverty status. Unlike the results of the previous studies, however, the number of the household member, age are not influenced on their poverty status. Based on these results, several policy implications are presented at the end of this paper.