• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2004년도 춘계 학술발표대회 논문집
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• pp.356-357
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• 2004

• 한국지진공학회논문집
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• 제8권4호
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• pp.63-69
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• 2004

본 논문에서는 납삽입 적층 고무베어링의 비선형 모델링에 대해 신경망 이론을 적용한 수학적 모델링 기법을 제안하였다. 신경망 모델의 수치검증을 위해 납삽입 적층 고무베어링이 설치된 프레임 축소모델의 진동대 실험 자료가 사용되었는데, 제안된 신경망의 학습 및 예측을 위한 하중 자료로써 백색잡음과 세 종류의 지진파를 선택하였다. 지진파의 경우 PGA의 세기를 달리하여 신경망 모델의 계산정도를 고찰하였다. 그 결과, 납삽입 적층 고무베어링의 전단변위가 신경망의 학습 영역을 벗어나지 않는 경우 실험결과의 복잡한 이력곡선을 잘 추종하였고 신경망 이론에 의한 비선형 모델링 기법이 유용하게 활용될 수 있다는 가능성을 확인할 수 있었다.

• Spatial Information Research
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• 제17권3호
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• pp.251-259
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• 2009

생태계 회복의 중요성이 부각됨에 따라 생태네트워크 구축을 위한 다양한 연구가 수행되고 있다. 특히 GIS를 이용한 환경정보자료의 구축과 분석기법의 개발은 이를 더욱 효과적으로 수행하게 하였다. 본 연구에서는 경관생태학 이론을 기반으로 도시생태네트워크 구축을 위한 공간의사결정지원체계를 제시하였다. 제시된 공간의사결정지원체계는 다음과 같은 4단계로 구성된다. 첫째, 생태네트워크의 주요 골격을 형성하는 핵심 녹지를 중첩기법을 통해 도출한다. 둘째, 서식지 분포자료를 이용하여 서식녹지를 파악하고, 중력모형을 적용한 연결성 평가를 통해 연결녹지의 도입이 필요한 지역을 도출한다. 셋째, 최소비용경로분석을 이용하여 파편화된 녹지를 연결하기 위한 최적의 경로를 도출한다. 마지막으로 도시 생태네트워크 분석결과와 현재 토지이용간의 비교를 통하여 분석결과의 적정성을 검증한다. 본 연구는 도시 내 생태공간을 증진하기 위한 계획적 도구로서 난개발 방지, 종 다양성 증진 등에 기여할 수 있을 것이다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.221-242
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• 2020

Purpose This study collects data of the recently activated online black market and analyzes it to present a specific method for preparing for a hacking attack. This study aims to make safe from the cyber attacks, including hacking, from the perspective of individuals and businesses by closely analyzing hacking methods and tools in a situation where they are easily shared. Design/methodology/approach To prepare for the hacking attack through the online black market, this study uses the routine activity theory to identify the opportunity factors of the hacking attack. Based on this, text mining and social network techniques are applied to reveal the most dangerous areas of security. It finds out suitable targets in routine activity theory through text mining techniques and motivated offenders through social network analysis. Lastly, the absence of guardians and the parts required by guardians are extracted using both analysis techniques simultaneously. Findings As a result of text mining, there was a large supply of hacking gift cards, and the demand to attack sites such as Amazon and Netflix was very high. In addition, interest in accounts and combos was in high demand and supply. As a result of social network analysis, users who actively share hacking information and tools can be identified. When these two analyzes were synthesized, it was found that specialized managers are required in the areas of proxy, maker and many managers are required for the buyer network, and skilled managers are required for the seller network.

• 한국콘텐츠학회논문지
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• 제22권5호
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• pp.319-326
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• 2022

OTT(over-the-top) 비디오 서비스가 성장하면서 스마트TV가 동반 성장 중이다. 이 연구는 간접 네트워크 효과와 보완 이론을 적용하여 디지털 콘텐츠 이용과 스마트TV 이용 간의 관계를 탐색했다. 전국 대상 설문조사를 실시한 한국미디어패널데이터를 활용하여 디지털 콘텐츠 이용(OTT 이용여부/이용량/유형별 이용, 온라인 게임/음악/교육/뉴스 서비스 이용)이 스마트TV 이용에 미치는 영향을 분석했다. 연구결과 OTT 이용자일수록, OTT 이용시간이 많을수록 스마트TV를 이용했으며, 유료OTT단독가입, 유료OTT복수가입, 무료OTT 이용자들이 OTT 비이용자 대비 스마트TV를 이용했다. 온라인 서비스 중에서 교육서비스 이용은 스마트TV 이용과 정(+)의 관계가, 뉴스 이용은 부(-)의 관계가 있었다. 이 연구결과로 디지털 콘텐츠의 다양성과 이용증대가 스마트TV의 수요를 증대시킨다는 간접 네트워크 효과 이론이 지지되었으며, OTT 이용자가 대형 TV화면을 이용하면서 OTT와 스마트TV간 보완관계가 형성된다는 보완이론이 지지되었다.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2008년도 춘계학술대회
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• pp.52-63
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• 2008

Virtuality is a product of the information age, and as it plays a larger role in the activities of individuals, groups and organizations, the issue of how human behavior varies between virtual and physical space has become one of the most important questions facing the management environment of today. The purpose of this article is to examine how virtuality shapes individuals' social relationships within and outside their work groups. We developed a conceptual framework that explores the links between virtuality and social network based on computer-mediated communication theory and social network theory. Using data from 172 individuals of 42 project teams in 5 global business consulting firms, we tested cross-level hypotheses. The results of hierarchical linear modeling (HLM) indicate that virtuality significantly influences individual's internal tie strength as well as external bridging ties. The results also show the effects of virtual process via CMC vary along with the virtual context.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.1760-1764
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• 2003

This study was carried out to establish an analytical method on the open circuit seawater pipeline network for open rack vaporizers(ORVs). The linear theory method was chosen to solve this network system. In particular, the method was modified to calculate the static pressure at each node and to determine the operating condition of each pump with the mean static pressure of pumps and ORVs. The proposed method is the first report demonstrating that can be used as a solver for the complicated open circuit. Also, the method indicated the importance for exactly calculating equivalent length of pipes including valves, bends, fittings, and others to raise the accuracy. Although this technique is good for solving this system, it is still required to improve the convergence rate.

• Journal of Mechanical Science and Technology
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• 제18권12호
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• pp.2137-2147
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• 2004

The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end-of-life phase. Disposal products have the uncertainties of product status by usage influences during product use phase, and recycling cells are formed design, process and usage attributes. In order to deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

• 대한기계학회논문집A
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• 제33권8호
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• pp.753-759
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• 2009

Feed-forward neural networks have been widely used as function approximation tools in the context of global approximate optimization. In the present study, a wavelet neural network (WNN) which is based on wavelet transform theory is suggested as an alternative to a traditional back-propagation neural network (BPN). The basic theory of wavelet neural network is briefly described, and approximation performance is tested using a nonlinear multimodal function and a composite rotor blade analysis problem. Laplacian of Gaussian function, Mexican function, and Morlet function are considered during the construction of WNN architectures. In addition, approximation results from WNN are compared with those from BPN.

• 지식경영연구
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• 제10권4호
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• pp.43-60
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• 2009

The current study attempts to provide the field of knowledge management with theoretical grounds from the perspective of social network, resource dependency, and institutional theory. Social network theory considers that knowledge management plays a critical role in organizational innovation through the process of knowledge sharing/creation, communication systems, and a cooperative culture and trust, whereas resource dependency perceives knowledge management as contributing to cost reduction through the process of knowledge capture/storage, database systems, and reward/incentive systems. Plus, from the perspective of institutionalization, this study discusses that organizations can not benefit from knowledge management if it is adopted with the motive of isomorphic change. Finally, this study compares and integrates the three perspectives, and discusses the implications and limitations.