• 건축역사연구
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• 제6권1호
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• pp.47-65
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• 1997

In the time of the rule of Japanese imperialism, Japanese style official residence played major role at the implantation of modern dwellings into Korea and its influences on Korean modern dwellings are distinguishable. This study focuses on the Japanese style official residence implanted into Korea before 1910. Before 1910 Japanese civilians in Korea builded just a traditional Japanese dwellings at the Japanese settlement in the ports opened. But Japanese engineers engaged in governmental organization of construction in the Old-Korean Empire builded a central corridor type Japanese dwellings as official residence. The central corridor type Japanese dwelling was an urban dwelling compromised between Japanese style and western style and distinguished by an outer-court type plan, Japanese entrance hall, central corridor and western style reception room. It is certified that the central corridor type Japanese dwelling was implanted into Korea before 1910 and this was the first time an urban dwelling to be implanted and spread through the whole Korea. The central corridor type Japanese dwelling implanted into Korea took in On-Dol and transformed to Korea-Japanese eclectic style. The central corridor type Japanese dwellings implanted into Korea in the time of the rule of Japanese imperialism makes function as a precedent of a modern urban dwelling to Korean and makes Korean dwellings transform from the rural inner court type into the urban outer court type.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.256-261
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• 2008

본 연구에서는 모바일 기기에서의 진동 패턴을 손쉽고 빠르게 디자인 할 수 있는 저작도구를 개발하였다. 개발한 진동 패턴 디자인 저작 도구는 드래그-앤-드랍 저작 방식을 통해서 손쉽고 빠르게 진동 패턴을 디자인 할 수 있으며, 만들어진 진동 패턴을 데이터베이스에 등록하여 관리함으로써 진동 패턴의 재사용성을 높이고, XML 형식을 통해 진동 패턴을 저장하므로 진동 패턴 데이터 형식의 확장성이 뛰어나다. 또한, 다수의 진동자를 사용하는 환경을 위해 멀티 채널 진동 패턴을 디자인 할 수 있으며, 내부 플레이어를 통해서 진동 패턴을 빠르게 검증하며 수정할 수 있고, 사용자의 인지 모델을 고려한 진동 렌더링방법을 통해서 디자인 할 때 고려한 인지적 효과별 사용자가 통일하게 느낄 수 있게 하였다. 진동 패턴 저작 도구는 기본적으로 모바일 기기에서 진동 모터를 사용하는 환경에 적합하도록 개발되었으나 가상 현실이나 햅틱 인터랙션과 같은 진동 모터를 사용하는 연구 분야에도 적용하여 사용할 수 있다.

• 한국유체기계학회 논문집
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• 제5권4호
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• pp.47-53
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• 2002

The steam generator feedwater flow-rate in a nuclear power plant was estimated by means of artificial neural networks with the wavelet analysis for enhanced information extraction. The fouling of venturi meters, used for steam generator feedwater flow-rate in pressurized water reactors, may result in unnecessary plant power derating. The back-propagation network was used to generate models of signals for a pressurized water reactor Multiple-input, single-output hetero-associative networks were used for evaluating the feedwater flow rate as a function of a set of related variables. The wavelet was used as a low pass filter eliminating the noise from the raw signals. The results have shown that possible fouling of venturi can be detected by neural networks, and the feedwater flow-rate can be predicted as an alternative to existing methods. The research has also indicated that the decomposition of signals by wavelet transform is a powerful approach to signal analysis for denoising.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제11권3호
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• pp.165-170
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• 2011

Due to advances in hardware performance, user-friendly interfaces are becoming one of the major concerns in information systems. Linguistic conversation is a very natural way of human communications. Fuzzy techniques have been employed to liaison the discrepancy between the qualitative linguistic terms and quantitative computerized data. This paper deals with linguistic queries using clustering results on data sets, which are intended to retrieve the close clusters or distant clusters from the clustering results. In order to support such queries, a fuzzy technique-based method is proposed. The method introduces distance membership functions, namely, close and distant membership functions which transform the metric distance between two objects into the degree of closeness or farness, respectively. In order to measure the degree of closeness or farness between two clusters, both cluster closeness measure and cluster farness measure which incorporate distance membership function and cluster memberships are considered. For the flexibility of clustering, fuzzy clusters are assumed to be formed. This allows us to linguistically query close or distant clusters by constructing fuzzy relation based on the measures.

• 한국전자파학회논문지
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• 제12권6호
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• pp.931-939
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• 2001

DBS(Direct Broadcast Satellite) 수신용 radial-line slot antenna(RLSA)의 설계를 위한 슬롯을 통한 결합 특성을 해석하였다. RLSA에서 이미 제안된, narrow wall이 주기 경계 조건(periodic boundary condition)을 만족시키고 wide wall에 슬롯이 주기적으로 배열되어 있는 구형 도파관 모델을 이용하였다. 자장 적분 방정식과 필요한 그린 함수를 유도하여 모멘트 법으로 풀었다. 이때 수치 해석의 효율을 극대화하고 그린 함수에 의한 특이점 문제를 해결하기 위해 entire domain 기저 함수와 sub-domain 기저 함수를 모두 사용하였다. 한편 그린 함수를 빠르게 계산하기 위한 가속화 방법으로 구형 도파관 영역은 Ewald합 기법을, 반공간 영역은 Shanks 변환을 이용하였다. 시뮬레이션 결과로부터 RLSA의 설계에 이용되는 다양한 변수들이 결합에 미치는 영향을 예측할 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권2호
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• pp.288-307
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• 2013

This paper formulates resource allocation for decode-and-forward (DF) relay assisted multi-cell orthogonal frequency division multiple (OFDM) networks as an optimization problem taking into account of inter-cell interference and users fairness. To maximize the transmit rate of system we propose a joint interference coordination, subcarrier and power allocation algorithm. To reduce the complexity, this semi-distributed algorithm divides the primal optimization into three sub-optimization problems, which transforms the mixed binary nonlinear programming problem (BNLP) into standard convex optimization problems. The first layer optimization problem is used to get the optimal subcarrier distribution index. The second is to solve the problem that how to allocate power optimally in a certain subcarrier distribution order. Based on the concept of equivalent channel gain (ECG) we transform the max-min function into standard closed expression. Subsequently, with the aid of dual decomposition, water-filling theorem and iterative power allocation algorithm the optimal solution of the original problem can be got with acceptable complexity. The third sub-problem considers dynamic co-channel interference caused by adjacent cells and redistributes resources to achieve the goal of maximizing system throughput. Finally, simulation results are provided to corroborate the proposed algorithm.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.754-759
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• 2007

This study exploits the data discriminating capability of silhouette statistics, which combines wavelet-based vertical energy threshold technique for the purpose of extracting damage-sensitive features and clustering signals of the same class. This threshold technique allows to first obtain a suitable subset of the extracted or modified features of our data, i.e., good predictor sets should contain features that are strongly correlated to the characteristics of the data without considering the classification method used, although each of these features should be as uncorrelated with each other as possible. The silhouette statistics have been used to assess the quality of clustering by measuring how well an object is assigned to its corresponding cluster. We use this concept for the discriminant power function used in this paper. The simulation results of damage detection in a truss structure show that the approach proposed in this study can be successfully applied for locating both open- and breathing-type damage even in the presence of a considerable amount of process and measurement noise.

• 한국통신학회논문지
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• 제24권7B호
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• pp.1361-1369
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• 1999

다중 물체의 왜곡불변 인식을 위하여 수정합성형태소를 이용한 HMT를 제안하였다. HMT에서 중요한 문제 중의 하나는 오인식을 줄이고 다양한 모양의 왜곡된 물체를 검출하기 위하여 필요한 최적의 형태소를 결정하는 것이다. 제안된 형태소 합성방법은 이런 문제를 해결하는데 적절하다. 한 방법은 집합이론만을 이용하여 참영상의 형태소를 다단계로 합성하는 것이고, 다른 한 방법은 집합이론과 SDF합성법을 이용하여 참영상과 거짓영상의 형태소를 다단계로 합성하는 것이다. 시뮬레이션을 통하여 제안된 방법이 동일 집단의 왜곡된 물체를 인식하고, 다른 집단의 유사한 물체를 구분하여 인식할 수 있음을 확인하였다.

• 전기학회논문지
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• 제58권6호
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• pp.1078-1086
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• 2009

This paper presents a Fourier based algorithm for estimating the parameters of the low frequency oscillating modes. The proposed methods estimates various parameters(frequency, damping factor, mode magnitude, phase) by fitting Fourier spectrum and phase with a damped exponential cosine function. Dominant frequency is selected by taking frequency corresponding to the peak spectrum, and damping factor is estimated using the left/right spectra of Fourier spectrum. In addition, mode magnitude is calculated by the normalized peak spectrum, and phase is estimated from spectrum phase. Also, we introduce an accuracy index in order to determine the accuracy of the estimated parameters, and the index is calculated using the deviations of the peak spectrum and the left/right spectra. The parameter estimation methods proposed in this paper include very simple arithmetical processes, so the algorithms are simple and the calculation speed is very fast. The proposed methods are applied to test functions with two dominant modes. The results show that the proposed methods are highly applicable to low frequency parameter estimation.

• Journal of Electrical Engineering and Technology
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• 제11권2호
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• pp.309-319
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• 2016

This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corresponding disturbance pattern to set membership functions. This method also sets the fuzzy rules by analyzing the distribution regularities of the input variable values. One characteristic of this method is that the linguistic values of fuzzy input variables and the setting of membership functions are not only related to the input variables but also to the character of classification disturbance and the classification results. Furthermore, the number of fuzzy rules is equal to the number of disturbance patterns. By using this method for disturbance classification, the membership function and design of fuzzy rules are directly related to the objective of classification, thus effectively reducing the complexity of the design process and yielding accurate classification results. The classification results of the simulation and measured data verify the feasibility and effectiveness of this method.