• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.319-322
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• 2012

초기 기술개발주체는 일원적인 기술진보 방향을 따랐으나 R&D 패러다임이 변화함에 따라 고객요구의 중요성을 인식하게 된다. 하지만 3세대 R&D와 같이 고객수요에만 중심을 둘 경우 기술혁신을 꾀하기 힘들어, 현재 보유한 기술개발역량 분석을 바탕으로 시장요구를 이해하고 다른 기술개발주체와 협력할 수 있는 기술투자전략이 요구된다. 광물자원, 에너지자원 기술과 같이 산업경제 및 국민 삶과 직결된, 경제사회 문제해결형 자원기술 개발의 중요성과 필요성은 증대하지만 공적 목표와 기술목표를 결합하는 것이 쉽지 않아 이를 해결할 수 있는 방법론 제시가 필요하다. 즉 효과적인 기술개발 우선순위 및 기술개발 투자전략을 수립하기 위해 기술개발역량 분석뿐만 아니라 정확한 고객수요 분석이 필수적임을 시사한다. 따라서 고객요구 속성을 고려한 사회적 기대 도출방법을 활용하여 3단계 수준의 자원기술 수요를 도출하였으며 수요의 변동성을 고려하여 3년후/5년후의 수요중요도를 측정하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.214-216
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• 2000

본 논문에서는 유전자 프로그래밍을 이용하여 온라인 적응 학습이 가능 진화 하드웨어의 진화 전략을 구성하였다. 유전자 프로그래밍은 특유의 트리형 개체구조가 여러 개의 프로세스의 합을 통한 복합 임무의 수행 구조로 해석될 수 있다는 이점에 비하여, 하드웨어 구현이 어렵고 crossover 연산자의 사용이 어렵다는 단점등에 의하여 진화 하드웨어의 동적 재구성 알고리즘으로 널리 사용되지 못하였다. 본 논문에서는 유전자 프로그래밍의 이러한 단점을 극복할 수 있는 개체 표현 및 하드웨어 구현 방법을 제안하였으며, 제안된 방법론에 기존의 연구 결과를 결합하여 유전자 프로그래밍의 수행 효율을 높일 수 있는 진화 전략을 구성하였다. 제안된 진화 전략은 자율 이동 로봇 실험에 적용되어 효율성을 확인하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.87-91
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• 2003

It has well known that MUSIC and ESPRIT algorithms estimate angle of arrival(AOA) with high resolution by eigenvalue decomposition of the covariance matrix which were obtained from the array antennas. However, the disadvantage of MUSIC and ESPRIT is that they are computationally ineffective, and then they are difficult to implement in real time. The other problem of MUSIC and ESRPIT is to require calibrated antennas with uniform features, and are sensitive to the manufacturing facult and other physical uncertainties. To overcome these disadvantages, several method using neural model have been study. For multiple signals, those require huge training data prior to AOA estimation. This paper proposes the algorithm for AOA estimation by interconnected hopfield neural model. Computer simulations show the validity of the proposed algorithm. The proposed method does not require huge training procedure and only assigns interconnected coefficients to the neural network prior to AOA estimation.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.6
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• pp.115-128
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• 2019

Huam-dong is a representative area from the Japanese colonial period and is the space where most Japanese-style buildings remain in Seoul. Interest in modern cultural heritage continues to increase, including the registration of cultural properties in 2001, building assets in 2015, and the registration of cultural property units in 2018. As the debate continues over the necessity of preserving cultural heritage that reminds us of the Japanese colonial, there is a need for research to grasp the perceptions of stakeholders along with the perceived value of such spaces. This study identified the subjective perception types of the stakeholders concerned with the Japanese-style building group in Huam-dong, analyzed characteristics by types, and debated the issues. For this purpose, Q methodology, which is a statistical technique for measuring human self-subjectivity and extracting common human perspectives, was used. A literature study on the values of Huam-dong and modern cultural heritage was conducted, and a Q questionnaire based on five aspects of modern cultural heritage values (historical, architectural, sociocultural, landscape, and economic) was applied. The results of the study depicted three types of cognition and showed different attitudes toward the Japanese building group. This study found a conflict comparing the perceptional differences between the types of cognition. This study is meaningful in that it provides an in-depth approach to the perspectives of the stakeholders concerned with the Japanese-style buildings clustered in central Seoul. It is also meant to present a theoretical framework that can be applied to the use area as sustainable cultural heritage through the establishment of preservation and utilization of Japanese-style areas and conflict resolution.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1265-1271
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• 2009

'I-Ching Storytelling Web-Cartoon Game' suggested by Prof. Shim and Research Group may provide users with the opportunity of writing story based on I-Ching. I-Ching is the cosmological thoughts intrinsic to East Asian culture. In the perspective of the narratology, I-Ching can bee seen as a kind of database of narratives since it classifies all events emerging from the meet between the actor(human-人) and the background(time/space-天地) as the story material into 384 narrative elements(sequence) and 64 themes(motive), and consistently constructs their causal relationships. So while trying to articulate I-ching with the digital storytelling methodology, we developed the web-cartoon game. With this game, users can creatively make their own story as a play by freely interpreting, retrieving, and recomposing those 386 narrative elements and 64 themes with the I-ching's narrative guideline.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.6
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• pp.545-555
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• 1991

In this paper, We discuss optical implementation of new optical adaptive patern recognition system based on single layer perception with learning capability and associative memory model having error corrective capability. The single layer perceptron is optically implemented by using 2 D LCTV spatial light modulators through the nonlinear quantization and polarization encoding methods, and 2 D hopfield associative memory is also implemented by using multifocus holographic lens. From some experimental results on classfication of Arabic numbers into even & edd numbers, it is shown that the proposed system can classify the patterns to the right classes correctly even for the partial and erronenous input patterns. Accordingly, the proposed optical adaptive pattern recognition system can be suggested for practical application in the fields of image processing and pattern recognition.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.200-200
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• 2022

본 연구에서는 총 강우량과 강우강도을 고려한 이변수 분석으로 연최대 호우사상을 선별하고, 두 변수를 Copula 함수로 결합하여 최적의 모델조합을 찾는 확률호우사상 산정 방법론을 제시하였다. 국내 69개 관측소의 2020년까지의 관측 자료를 대상으로 1mm 이하의 강우는 제거한 뒤, IETD(Inter-Event Time Definition) 12시간을 기준으로 강우자료를 독립적인 호우사상으로 분리하였다. 호우사상의 여러 특성 중 양의 상관관계를 갖는 총 강우량과 강우강도를 변수로 선택해 이변수 지수분포에 대입하였고, 각 지점의 연최대 호우사상 시계열을 생성하였다. 2변수 지수분포의 매개변수는 전체 기간과 연도별로 나누어 추정해 본 결과 연도별 변동성이 큰 것을 확인해 연도별 추정 방식을 선택하였다. 연최대 강우사상 시계열의 총 강우량과 강우강도는 극한 강우에 적용하는 확률분포형 중 Lognarmal, Gamma, Gumbel, GEV(Generalized Extreme Value), GPD(Generalized Pareto Distribution) 5가지를 사용하여 각각 CDF(Cumulative distribution Function) 값을 추정하였다. 계산된 CDF 값은 3가지 Copula 모형으로 결합해 joint CDF 값을 산출하였다. 총 75개의 모델조합 중 최적 모델을 찾기 위해 CVM(Cramer-von-Mises) 적합도 검정을 시행하였다. CVM의 통계량 Sn 값이 가장 작은 모델조합을 해당 지점의 최적 모델조합으로 선정하였다.

• Economic and Environmental Geology
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• v.36 no.3
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• pp.243-255
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• 2003

The mathematical models for GIS-based spatial data integration have been developed for geological applications such as mineral potential mapping or landslide susceptibility analysis. Among various models, the effectiveness of fuzzy logic based integration of multiple sets of geological data is investigated and discussed. Unlike a traditional target-driven fuzzy integration approach, we propose a data-driven approach that is derived from statistical relationships between the integration target and related spatial geological data. The proposed approach consists of four analytical steps; data representation, fuzzy combination, defuzzification and validation. For data representation, the fuzzy membership functions based on the likelihood ratio functions are proposed. To integrate them, the fuzzy inference network is designed that can combine a variety of different fuzzy operators. Defuzzification is carried out to effectively visualize the relative possibility levels from the integrated results. Finally, a validation approach based on the spatial partitioning of integration targets is proposed to quantitatively compare various fuzzy integration maps and obtain a meaningful interpretation with respect to future events. The effectiveness and some suggestions of the schemes proposed here are illustrated by describing a case study for landslide susceptibility analysis. The case study demonstrates that the proposed schemes can effectively identify areas that are susceptible to landslides and ${\gamma}$ operator shows the better prediction power than the results using max and min operators from the validation procedure.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.110-114
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• 2004

This paper deals with the dynamic characteristic analysis of linear actuator(LA) considered with coupling of mechanical spring system This application of linear actuator is increasing due to simple mechanical structure, a high efficiency, and a stable motional action. This paper proposed and analyzed the Serial Piston Actuator(SPA) by using mechanical spring system coupled with linear actuator through the simplified structure which was verified practical experiments.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.