• Journal of the Computational Structural Engineering Institute of Korea
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• v.12 no.3
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• pp.457-464
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• 1999

The object of this study is form finding, stress-strain analysis and cutting pattern analysis of membrane structures under the following assumptions : (1) material is linearly elastic (2) stress state is plane stress. The cable and membrane structures undergo large deformation because of its highly flexibility, therefore, we must take account of its geometric nonlinearity. The analysis procedure is consisted of three steps considering geometric nonlinearity unlike any other structures. First step is the form finding analysis to determine the initial equilibrium shape. Second step is the stress-strain analysis to investigate the behaviors of structures under various external loads. Once a stationary shape has been fount a cutting pattern based on the form finding analysis may be generated for manufacturing procedure. In this paper, form finding, stress-strain analysis and cutting pattern analysis is carried out for applying to Seoguipo worldcup soccer stadium roof structures and optimal cutting pattern analysis technique is proposed.

• Journal of the Korea Society for Simulation
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• v.22 no.4
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• pp.139-147
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• 2013

This paper proposes a novel method for feature selection for mass spectrometric proteomic data based on Random Forest. The method includes an effective preprocessing step to filter a large amount of redundant features with high correlation and applies a tournament strategy to get an optimal feature subset. Experiments on three public datasets, Ovarian 4-3-02, Ovarian 7-8-02 and Prostate shows that the new method achieves high performance comparing with widely used methods and balanced rate of specificity and sensitivity.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.421-423
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• 2010

본 논문에서는 ART2 알고리즘을 이용하여 잠금 상태에서 스마트폰의 어플리케이션을 쉽고 빠르게 구동하기 위한 방법을 제안한다. 자신이 원하는 그림과 설치되어 있는 어플리케이션과의 대응 테이블을 만들기 위하여 학습 어플리케이션을 실행한다. 학습 어플리케이션의 동작 순서는 어플리케이션 실행 후 화면 하단에서 빠른 실행을 하고자 하는 어플리케이션을 선택하고 좌측상단에 위치하고 있는 입력 부분에 그림을 그린 후, 학습 버튼을 클릭한다. 그려진 그림의 배경은 0으로 그림은 1로 변환하고 ART2의 입력으로 사용할 수 있도록 일정한 크기로 정규화한다. 정규화 된 데이터를 팽창 연산을 통하여 학습에 용이하도록 최외각 픽셀을 확장하여 ART2의 입력 데이터로 적용한다. 학습이 끝난 후, 잠금 상태에서 액정 윗부분에 학습된 것과 같은 모양의 그림을 그리면 해당 어플리케이션이 실행된다. 제안된 방법은 기존의 방식인 잠금 해제 후, 어플리케이션을 탐색하고, 해당 어플리케이션을 실행하는 3 단계로 된 방식을 1 단계로 줄이기 때문에 원하는 어플리케이션을 실행하는데 시간이 적게 소요되는 장점이 있다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.10
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• pp.43-48
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• 2010

In general, in order to reduce an initial cell searching time, W-CDMA systems adopt a three-step cell search scheme: slot synchronization, frame synchronization, and primary scrambling code identification. We consider the second step (frame synchronization), in which a coherent detection using P-SCH (primary synchronization channel) is possible. In this paper, we propose a new coherent detection scheme, where a first order recursive filter is used to enhance channel estimation performance. Computer simulation results indicate that the detection performance of the proposed scheme can be robust over large range of frequency offset.

• Korean Journal of Childcare and Education
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• v.9 no.3
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• pp.75-93
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• 2013

The present study was to investigate if quality of childcare curriculum implementation could be predicted by educational climate, teachers' professionalism, and teacher/classroom characteristics. According to the results, strong positive associations existed between eudcational climate, professionalism, and implementation of childcare curriculum. The most powerful predictor of curriculum implementation quality was 'respect and acceptance' which was a sub-factor of educational climate. Also, 'public service', a sub-factor of professionalism, explained a significant amount of variances in quality of curriculum implementation. Among teacher/childcare characteristics, the type of centers was one of the strong predictors. These study results provide meaningful implications regarding the importance of socio-cultural contexts in childcare centers as well as teachers'professionalism.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.1-17
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• 2023

With the recent rapid development of ICT(Information and Communication Technology) and the popularization of digital devices, the size of the online market continues to grow. As a result, we live in a flood of information. Thus, customers are facing information overload problems that require a lot of time and money to select products. Therefore, a personalized recommender system has become an essential methodology to address such issues. Collaborative Filtering(CF) is the most widely used recommender system. Traditional recommender systems mainly utilize quantitative data such as rating values, resulting in poor recommendation accuracy. Quantitative data cannot fully reflect the user's preference. To solve such a problem, studies that reflect qualitative data, such as review contents, are being actively conducted these days. To quantify user review contents, text mining was used in this study. The general CF consists of the following three steps: user-item matrix generation, Top-N neighborhood group search, and Top-K recommendation list generation. In this study, we propose a recommendation algorithm that applies an extended similarity measure, which utilize quantified review contents in addition to user rating values. After calculating review similarity by applying TF-IDF, Word2Vec, and Doc2Vec techniques to review content, extended similarity is created by combining user rating similarity and quantified review contents. To verify this, we used user ratings and review data from the e-commerce site Amazon's "Health and Personal Care". The proposed recommendation model using extended similarity measure showed superior performance to the traditional recommendation model using only user rating value-based similarity measure. In addition, among the various text mining techniques, the similarity obtained using the TF-IDF technique showed the best performance when used in the neighbor group search and recommendation list generation step.

• Journal of the Korea Society for Simulation
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• v.26 no.1
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• pp.13-19
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• 2017

6-DOF flight simulation program is most generally used M&S tool in domestic missile development procedure. The 6-DOF M&S method, however, cannot validate the performance of a imaging seeker-adopted missile in various conditions. A M&S tool for the analysis of the integrated-flight simulation is required since the tracking performance of the imaging seeker is highly dependent on the missile maneuvering, which introduces the displacement and rotation of the target in the seeker imagery. Through the development of the $3^{rd}$ generation anti-tank missile, Raybolt, the integrated-flight M&S tool was developed and applied to the missile configuration design. It integrates synthetic image generation S/W, imaging tracker, and flight simulation program and computes the main system performance criteria, hit probability by Monte-Carlo Simulation. In this paper, the issues in the $3^{rd}$ generation anti-tank missile configuration and the integrated-flight M&S method and results are described.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.95-110
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• 2006

To enhance the rule-based reasoning capability of Semantic Web, the XRML (eXtensible Rule Markup Language) approach embraces the meta-information necessary for the extraction of explicit rules from Web pages and its maintenance. To effectuate the automatic identification of rules from unstructured texts, this research develops a framework of using rule ontology. The ontology can be acquired from a similar site first, and then can be used for multiple sites in the same domain. The procedure of ontology-based rule identification is regarded as a graph search problem with incomplete nodes, and an A* algorithm is devised to solve the problem. The procedure is demonstrated with the domain of shipping rates and return policy comparison portal, which needs rule based reasoning capability to answer the customer's inquiries. An example ontology is created from Amazon.com, and is applied to the many online retailers in the same domain. The experimental result shows a high performance of this approach.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.183-192
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• 2020

This study conducted an exploratory study to derive the success factors of entrepreneurial marketing for startups. Through Delphi analysis, we derived the items of proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity, value creation, price setting, marketing communication, channel management, product development, sales and marketing information management. The importance and execution of success factors were measured through IPA analysis. The first quadrant(keep up the good work) has proactive orientation, risk management, resource leveraging, customer intensity. The second quadrant(concentrate here) has innovation. The third quadrant(low priority) has channel management, sales, marketing information management. The fourth quadrant(possible overkill) has prices setting, product development. These results showed that the success factors of startup's entrepreneurial marketing were proactive orientation, risk management, innovation, opportunity driven, resource leveraging, customer intensity and value creation.

• Journal of Korean Society of Steel Construction
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• v.16 no.5 s.72
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• pp.683-694
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• 2004

Advanced analysis and optimal design of semi-rigid space steel frames were presented. The advanced analysis can predict the combined nonlinear effects of connection, geometry, and material on the behavior and strength of semi-rigid frames. The Kishi-Chen power model was used to describe the nonlinear behavior of semi-rigid connections. Geometric nonlinearity was determined using stability functions. Material nonlinearity was determined using the Column Research Council (CRC) tangent modulus and the parabolic function. The direct search method proposed by Choi and Kim was used as optimization technique. One by one, the member with the largest unit value evaluated using the LRFD interaction equation were placed adjacent to a larger member selected from the database. The objective function was assumed to be the weight of steel frame, while the constraint functions were load-carrying capacities, deflections, inter-story drifts, and the ductility requirements. The member sizes determined using the proposed method were compared to those derived from the conventional LRFD method.