• 대한기계학회논문집B
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• 제31권8호
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• pp.663-671
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• 2007

In this work, shape optimization of a wire-wrapped fuel assembly in a liquid metal reactor has been carried out by combining a three-dimensional Reynolds-averaged Navier-Stokes analysis with the radial basis neural network method, a well known surrogate modeling technique for optimization. Sequential Quadratic Programming is used to search the optimal point from the constructed surrogate. Two geometric design variables are selected for the optimization and design space is sampled using Latin Hypercube Sampling. The optimization problem has been defined as a maximization of the objective function, which is as a linear combination of heat transfer and friction loss related terms with a weighing factor. The objective function value is more sensitive to the ratio of the wire spacer diameter to the fuel rod diameter than to the ratio of the wire wrap pitch to the fuel rod diameter. The optimal values of the design variables are obtained by varying the weighting factor.

• 디자인학연구
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• 제16권3호
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• pp.41-50
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• 2003

만화는 시각예술의 한 분야로서 창작이라는 예술의 본질을 추구하고 있으며, 대중예술문화에서 광범위한 파급효과를 지니고 있다. 만화는 글과 그림이 공존하는 커뮤니케이션의 기능으로 인해, 문자와 사진을 이용한 사실전달기능의 저널리즘에서 보다 효과적인 이해의 도움을 주기 때문에, 매우 독특한 위치를 차지하게 되었다. MAD는 시사 만화 잡지로서 사회의 모순을 드러내고 신랄하게 비판하는 기능을 가짐으로서 독자들의 공감을 이끌어 낸다. 만화의 효율적 활용을 위해 그 접근 방법은 장르별 비교 수강 단계를 거치게 함으로써 만화장르의 확대 또는 상승단계에 도달할 때에 만화는 사회에서 커뮤니케이션 측면, 저널리즘 측면, 또는 학문에서 문학, 디자인, 예술적 측면에서 새로운 시각 정보 매체로서의 위치에 설 수 있게 될 것이다.

• 한국통신학회논문지
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• 제36권5B호
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• pp.557-565
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• 2011

본 논문에서 고려하는 선박USN 환경에서는 선박의 특수성으로 인해 멀티홉으로 구성되며 선박의 안전운항과 관련된 센서 노드들은 센싱될 위치에 배치가 완료되면 이동할 필요 없어지게 되므로 고정이 되며, 센서노드 모두 FFD(Full Function Device)로 구성 된다고 가정하였다. 무선 센서 네트워크는 고정된 인프라의 도움이 없이 이동 노드만으로 구성된다. 이는 네트워크의 융통성을 높일 수 있지만 센서 노드의 멤버로서의 자유로운 참여와 이탈 또는 전력소모로 인하여 네트워크의 라우팅에 어려움이 발생하게 된다. 본 논문에서는 선박USN 환경의 고정된 센서 네트워크에서 비트맵과 클러스터 방식의 라우팅을 혼합한 알고리즘을 제안하고 모의실험을 통해 제안한 알고리즘의 타당성을 보였다.

• Industrial Engineering and Management Systems
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• 제8권4호
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• pp.257-263
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• 2009

Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent to (1, 1) order ARMA model equation, new method of estimation of smoothing constant in exponential smoothing method is proposed before by us which satisfies minimum variance of forecasting error. Theoretical solution was derived in a simple way. Mere application of ESM does not make good forecasting accuracy for the time series which has non-linear trend and/or trend by month. A new method to cope with this issue is required. In this paper, combining the trend removal method with this method, we aim to improve forecasting accuracy. An approach to this method is executed in the following method. Trend removal by a linear function is applied to the original shipping data of consumer goods. The combination of linear and non-linear function is also introduced in trend removal. For the comparison, monthly trend is removed after that. Theoretical solution of smoothing constant of ESM is calculated for both of the monthly trend removing data and the non monthly trend removing data. Then forecasting is executed on these data. The new method shows that it is useful especially for the time series that has stable characteristics and has rather strong seasonal trend and also the case that has non-linear trend. The effectiveness of this method should be examined in various cases.

• 사물인터넷융복합논문지
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• 제4권2호
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• pp.13-20
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• 2018

본 논문은 최근 대두된 신기술인 '블록체인' 기술을 기반으로 'Single-Sign-On'과 'Token 기반 인증 방식'을 접목한 인증 시스템을 제안하였다. Single-Sign-On 기반 인증 방식에 블록체인 기술을 접목하여 '접근제어' 기능과 '무결성'을 제공하였으며, Token 기반 인증 방식을 사용하여 Stateless한 Self-Contained 인증 기능을 제공하였다. 암호화 기반 Token 발급 및 인증 과정을 수행하여 보안성을 높일 수 있었으며, Web Server에 대한 인증 편리성을 제공하였다. 또한 SSO과 Token 기반 인증을 통해 번거로운 인증 과정을 보다 편리하게 개선할 수 있는 방법을 제시하였다.

• 대한기계학회논문집A
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• 제21권11호
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• pp.1844-1851
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• 1997

Displacement fields and interface stresses are obtained by modifying the potential energy functional with a penalty function which enforces the continuity of stresses at the interface of two-materials. Based on the displacement field and the interface stresses, a new methodology to generate a continuous stress field over the entire domain including the interface of the dissimilar materials has been proposed by combining the L$^{2}$ projection method of stress-smoothing and the Loubignac's iterative method of improving the displacement field. Stress analysis was carried out on two examples which are made of highly dissimilar materials. As a result of the analysis, it is found that the proposed method provides improved continuity of the stress field over the entire domain as well as predicting accurate nodal stresses at the interface. In contrast, the conventional displacement-based finite element method provides significant stress discontinuties at the interfaces. In addition, it was found that the total strain energy evaluated from the improved continuous stress field converge to the exact value as increasing the number of iterations in the proposed method.

• Journal of Biosystems Engineering
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• 제11권1호
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• pp.76-85
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• 1986

This study was intended to examine the failure characteristics and breakdowns of the head-fed type combines generally used on farms. The failure distribution was assumed to follow Weibull distribution function and the Weibull parameters of the major parts, units and combine as whole were estimated by using the data collected in a survey. A computer program for the estimation of the Weibull parameter was developed. Monte Carlo method was used in predicting the time between failures. The results of study may be summarized as follows: 1. The number of failures per combine was 4.83 times per year and 0.3 times per hectare of combines of different ages. 2. According to the Kolmogorov-Smirnov test method, it was proved that the Weibull distribution function is well fitted to the characteristics of the failure and breakdowns of combines. 3. Weibull parameters of failure distribution of the combine as a whole were estimated to give the shape parameter ${\beta}$=1.3089 and the scale parameter ${\alpha}$=105.2409. The combining area with 80% reliability was 1.1 ha, and the probability of operating the combine without any failure for a year, was $2.76{\times}10^{-4}$. 4. The mean time between failures (MTBF) of the combines was predicted to be 3.2 ha of operation, which corresponds to 32 hours of operation.

• 한국멀티미디어학회논문지
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• 제16권6호
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• pp.782-794
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• 2013

본 논문에서는 카메라를 이용한 웨이퍼 위치 인식 알고리즘을 제안한다. 먼저 챔버 외부의 조명 반사와 카메라로 인한 영상의 원근 왜곡을 제거하기 위하여 투영 변환을 적용하여 실제 웨이퍼와 같이 정원의 형태로 복원한다. 다음, 에지 검출 알고리즘을 이용하여 웨이퍼의 외부 경계를 추출한 후, 일반화 대칭 변환을 적용하여 원을 검출함으로서 웨이퍼의 위치를 검사한다. 일반화 대칭 변환은 영상에서 화소쌍들 사이의 대칭값을 거리 가중치 함수, 위상 가중치 함수, 화소들의 기울기 크기와 로그 맵핑이 결합되어 영상에서 관심 영역을 추출한다. 제안하는 방법을 적용하여 웨이퍼가 올바른 위치에 장착되었는가를 검사하여 클리닝 시스템 장비와 웨이퍼의 파손을 미연에 방지한다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.407-410
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• 1998

Configuration is a set of building block processes, a series of selection and combining parts or components which composes a whole thing. A whole thing could be such a configurable object as manufacturing product, network system, financial portfolio, system development plan, project team, etc. Configuration problem could happen during any phase of product life cycle: design, production, sales, installation, and maintenance. Configuration has long been one of cost and time consuming work, because only high salaried technical experts on product and components can do configuration. Rework for error adjustments of configurations at later process causes far much cost and time, so accurate configuration is required. Under the on-line electronic commerce environment, configuration problem solving becomes more important, because component-based sales should be done automatically on the merchant web site. Automated product search, order placement, order fulfillment and payment make that manual configuration is no longer feasible. Automated configuration means that all the constraints among components should be checked and confirmed by configuration engine automatically. In addition, technical constraints and customer preferences like price range and a specific function required should be considered. This paper gives an brief overview of configuration problems: characteristics, representation paradigms, and solving algorithms and introduce CRSP(Constraint and Rule Satisfaction Problem) method. CRSP method adopts both constraint and rule for configuration domain knowledge representation. A survey and analysis on web sites adopting configuration functions are provided. Future directions of configuration for EC is discussed in the three aspects: methodology itself, companies adopting configuration function, and electronic commerce industry.

• 한국멀티미디어학회논문지
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• 제21권8호
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• pp.952-959
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• 2018

Clustering is one of the most fundamental algorithms in machine learning. The performance of clustering is affected by the distribution of data, and when there are more data or more dimensions, the performance is degraded. For this reason, we use a stacked auto encoder, one of the deep learning algorithms, to reduce the dimension of data which generate a feature vector that best represents the input data. We use k-means, which is a famous algorithm, as a clustering. Sine the feature vector which reduced dimensions are also multi dimensional, we use the Euclidean distance as well as the cosine similarity to increase the performance which calculating the similarity between the center of the cluster and the data as a vector. A deep clustering networks combining a stacked auto encoder and k-means re-trains the networks when the k-means result changes. When re-training the networks, the loss function of the stacked auto encoder and the loss function of the k-means are combined to improve the performance and the stability of the network. Experiments of benchmark image ad document dataset empirically validated the power of the proposed algorithm.