• Korean Journal of Social Welfare Studies
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• v.43 no.1
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• pp.5-29
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• 2012

The present study was to explore what makes adolescents think of themselves as troublemakers even without conduct problems. It was expected that the failure to attain socio-developmental milestones(e.g., healthy relationships with others, academic achievement) would lead to form trait aspect of deviant self-concept. A latent state-trait autoregressive modeling was used to analyze five annual waves of data from 3,449 adolescents taken from the Korean Youth Panel Study. We decomposed trait and state aspect of deviant self-concept and identified significant predictors of trait-like deviant self-concept, while additionally testing for gender differences. Our results showed that conduct problems had greater effect on deviant self-concept among girls compared with boys. Conduct problem was most predictive of deviant self-concept, and yet both poor peer-relations and school failures predisposed adolescents to have deviant self-concept. Low academic achievement conferred risk for trait aspects of deviant self-concept with no gender difference, whereas poor peer relation was more predictive among girls. It highlights the cultural value system underlying self-concept and how and why adolescents think of themselves as troublemakers.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.4
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• pp.319-325
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• 2007

In case of more than 50km baseline length, the correlation between receivers is reduced. Therefore, there are still some rooms for improvement of its positional accuracy. In this paper, the stochastic modeling of the ionospheric delay is applied and its effects are analyzed. The data processing has been performed by constructing a Kalman filter with states of positions, ambiguities, and the ionospheric delays in the double differenced mode. Considering the medium or long baseline length, both double differenced GPS phase and code observations are used as observables and LAMBDA has been applied to fix the ambiguities. The ionospheric delay is stochastically modeled by well-known 1st order Gauss-Markov process. And the correlation time and variation of 1st order Gauss-Markov process are calculated. This paper gives analyzed results of developed algorithm compared with commercial software and Bernese.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.129-130
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• 2021

본 연구의 목적은 학생의 주도적 학습을 돕는 하브루타 학습방법을 대학의 비대면 실시간 온라인 수업에서 활용할 수 있는 하브루타 학습모델 개발과 그 적용 가능성을 탐색하는 것이다. 이를 위해 온라인 학습환경에서 하브루타 학습법 적용사례에 대한 선행연구 고찰과 관련 이론들을 분석하고 하브루타 수업운영 경험자 2인의 인터뷰를 통해 비대면 실시간 온라인 수업 상황에서 적용 가능한 학습 모델안을 고안할 것이다. 이를 하브루타 수업 운영 경험이 풍부한 6인의 전문가를 대상으로 수업 모델안의 적절성과 적용가능성에 대한 평가를 실시하여 비대면 실시간 온라인 수업을 위한 하브루타 학습모델을 개발하고자 한다. 이 연구를 통해 비대면으로 수업을 해야 하는 상황에서도 학습자의 주도적 학습을 가능하게 함으로써 학습효과를 높여 미래 사회에 필요한 역량을 개발하는 데 기여할 수 있을 것이라고 기대한다.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.303-321
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• 2023

Metaverse shopping has emerged as a new phenomenon in social commerce. This study aims to investigate the user experience of metaverse stores shopping based on the S-O-R model. The results of the study show that telepresence, entertainment, personalized recommendation, and social interaction have significant positive effects on flow experience and satisfaction in metaverse shopping. Additionally, satisfaction and flow experience are shown to have significant positive effects on user intentions. This study provides valuable implications for the design and management of metaverse stores to improve user experience and increase user intention.

• 한국벤처창업학회:학술대회논문집
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• 2017.11a
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• pp.63-69
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• 2017

2015년 기업생멸 행정통계에 따르면, 우리나라의 최근 5년 동안('2010~2014년) 연평균 창업은 77만개, 폐업은 69만개인 것으로 나타났다. 지난 2015년 한해에만 개인사업자로 106만8313명이 창업을 하고 73만9420명이 폐업을 했다. 이는 하루 평균 3000명이 창업을 하고 2000명이 문을 닫는 셈이다. 실패를 경험한 기업인들은 여러 가지 심리적, 경제적 어려움에 직면하게 된다고 연구 보고되고 있다. 이같은 결과는 사업실패를 경험한 기업인들에 대한 케어의 필요성을 보여준다. 지난 2010년부터 정부가 실패기업인들에 대한 재기지원사업에 나서고는 있으나 재창업지원제도의 효과성에 대해서는 보장하기 어려운 상태다. 일각에서는 재창업지원이 양적인면에서는 활성화됐으나 질적으로는 아직 미흡하다고 지적이 나오고 있다. 이같은 상황에 착안하여 본 연구는 사업실패를 경험한 기업인들이 겪게되는 심리적 특성과 재기를 하고자 할 때 방해요소로 작용하는 감정요인에 초점을 맞추고자 한다. 따라서 선행연구를 통해 사업실패를 경험한 기업인들의 감정메카니즘을 규명한 모델(건강신념 모델:Health Belief Model)을 적용한 창업실패관련 개인평가와 사업실패경험(재무적 손실, 비재무적 손실)이 재창업의도에 어떠한 영향을 미치는지 규명하고자 한다. 감정요인인 창업실패관련 개인평가는 지각된 심각성, 지각된 취약성, 지각된 장애로 구성했다. 또 창업실패관련 개인평가와 재창업의도 사이, 사업실패경험과 재창업의도 사이에 재창업지원정책, 창업자기효능감이 각각 조절작용을 하는지 유의미한 관계성을 알아보고자한다. 연구 대상은 정부 재창업지원 프로그램을 진행하고 있는 중소기업진흥공단, 서울산업진흥원, 재도전지원센터등 기관의 재창업지원을 받은 기업인을 대상으로 설문을 실시하여 이들이 재창업지원서비스를 받기 전과 후에 대한 측정을 통해 실증분석을 하려고 한다.이 연구가 설정한 가설이 맞을 경우, 시사점으로는 정부의 재창업지원 프로그램의 효과성에 대한 검증이 될 것이다. 또 창업실패관련 감정메카니즘 규명으로 사업실패 기업인들의 재기를 도울 수 있는 재창업지원정책의 고도화가 가능해 질 것으로 판단된다.

• Journal of the Korean Institute of Gas
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• v.24 no.2
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• pp.50-55
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• 2020

The heuristics accumulated in the field activities of firefighters were reviewed through big data analysis of fire occurrences in Gyeonggi-do and researched to be utilized for proper fire prevention activities according to time, day, and target through quantitative modeling. Empirical rules with high sympathy were collected through direct interviews with firefighters. Among them, the rule of thumb that "Friday is the most fire-prone" is considered to be the most important in terms of fire monitoring and prediction. A big data comparison analysis was conducted, including the number of fires and damages that occurred in Gyeonggi-do in 2018. Furthermore, fire occurrence patterns by region, day of the week, time of day, and building type were derived. Regarding empirical rules that have been validated through research, relatively inexperienced firefighters also can make decisions by relying on refined quantitative predictive modeling and empirical rules including local government and time-based factors that reflect big fire occurrence data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3C
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• pp.115-125
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• 2009

The preconsolidation pressure has been commonly determined by oedometer test. However, it can also be determined by insitu test, such as piezocone test with theoretical and(or) empirical correlations. Recently, Neural Network (NN) theory was applied and some models were proposed to estimate the preconsolidation pressure or OCR. It was already found that NN model can come over the site dependency and prediction accuracy is greatly improved when compared with present theoretical and empirical models. However, since the optimization process of synaptic weights of NN model is dependent on the initial synaptic weights, NN models which are trained with different initial weights can't avoid the variability on prediction result for new database even though they have same structure and use same transfer function. In this study, Committee Neural Network (CNN) model is proposed to improve the initial weight dependency of multi-layered neural network model on the prediction of preconsolidation pressure of soft clay from piezocone test result. Prediction results of CNN model are compared with those of conventional empirical and theoretical models and multi-layered neural network model, which has the optimized structure. It was found that even though the NN model has the optimized structure for given training data set, it still has the initial weight dependency, while the proposed CNN model can improve the initial weight dependency of the NN model and provide a consistent and precise inference result than existing NN models.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.871-874
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• 2013

사용자 경험은 사용자가 제품을 사용 하면서 상호 작용을 통해 얻게 된 경험을 의미 하며 과정지향적인 인터랙티브 제품 일수록 보다 나은 경험을 위해 경험요소를 계획 하고 구성 하는 사용자 경험 디자인의 비중이 높다. 이는 어플리케이션의 기술적 완성도 및 상업적 성공 여부에도 영향을 미친다. 본 논문은, 인터랙션 디자인 분야의 사용자 모델 퍼소나(persona)와 이를 도입한 퍼소나 기반 시나리오 기법(Persona-Based Scenario)을 통하여 도출해낸 요구 사항을 토대로 기존의 사용자 경험 설계 연구 보다 사용자 중심적으로 향상된 인터랙션 프레임워크를 제공 하는데 목적을 두고 있다.

• Korean Journal of Culture and Social Issue
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• v.13 no.1
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• pp.63-89
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• 2007

This study introduces major models of psychological debriefing that has been utilized as an early psychological intervention after traumatic incidents and examines the controversy on the effects of psychological debriefing. It is difficult to make consistent conclusions regarding its effects based on the previous research data. Therefore, this study examines the major issues related to psychological debriefing and suggests the important points for best practice in crisis situations.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.95-102
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• 2004

In this paper, Experience Sensitive Cumulative Neural Network (ESCNN) is introduced, which can cumulate the same or similar experiences. As the same or similar training patterns are cumulated in the network, the system recognizes more important information in the training patterns. The functions of forgetting less important information and attending more important information resided in the training patterns are surveyed and implemented by simulations. The system behaves well under the noisy circumstances due to its forgetting and/or attending properties, even in 50 percents noisy environments. This paper also describes the creation of the generalized patterns for the input training patterns.