• 한국소음진동공학회논문집
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• 제18권11호
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• pp.1185-1191
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• 2008

This paper presents an approach to define an optimal piezoactuator length to actively control structural vibration. The optimal ratio of the piezoactuator length against the beam length when a pair of piezoceramic actuator and accelerometer is used to suppress unwanted vibration with direct velocity feedback(DVFB) control strategy is not clearly defined so far. It is well known that DVFB control can be very useful when a pair of sensor and actuator is collocated on structures with a high gain and excellent stability. It is considered that three different collocated Pairs of piezoelectric actuators (20, 50 and 100 mm long) and accelerometers installed on three identical clamped-clamped beams($30{\times}20{\times}1mm$). The response of each sensor-actuator pair requires strictly positive real(SPR) property to apply a high feedback gain. However the length of the piezoactuator affects the SPR property of the sensor-actuator response. Intensive simulation and experiment show the effect of the actuator length variation is strongly related with the frequency range of the SPR property. Thus an optimal length ratio was suggested to obtain relevant performance with a good stability under the DVFB strategy.

• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2236-2244
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• 2018

We make optimal consecutive offer curves for an energy storage system (ESS) integrated wind power producer (WPP) in the co-optimized day-ahead energy and regulation markets. We build the offer curves by solving multi-stage stochastic optimization (MSSO) problems based on the scenarios of pairs consisting of real-time price and wind power forecasts through the progressive hedging method (PHM). We also use the rolling horizon method (RHM) to build the consecutive offer curves for several hours in chronological order. We test the profitability of the offer curves by using the data sampled from the Iberian Peninsula. We show that the offer curves obtained by solving MSSO problems with the PHM and RHM have a higher profitability than offer curves obtained by solving deterministic problems.

• 응용통계연구
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• 제22권6호
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• pp.1331-1343
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• 2009

본 논문에서는 테니스 동호인의 복식경기에 대하여 참여선수들의 실력이 순서화되어 있는 경우 공정하면서 각 경기가 가능한 대등한 경기가 될 수 있도록 복식조를 편성하는 방법을 다루었다. 라운드 로빙 방식과 파트너-상대 테이블과 ox(경기-휴식)표를 이용하여 경기 참가자수 및 게임 수에 따라 편성된 복식조를 이용하여 새롭게 정의된 손실함수 값을 최소로 하는 최적의 복식조를 결정하였다.

• ETRI Journal
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• 제29권6호
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• pp.769-778
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• 2007

This paper proposes a multiplication algorithm for $F_{p^m}$, which can be efficiently applied to many pairs of characteristic p and extension degree m except for the case that 8p divides m(p-1). It uses a special class of type- Gauss period normal bases. This algorithm has several advantages: it is easily parallelized; Frobenius mapping is easily carried out since its basis is a normal basis; its calculation cost is clearly given; and it is sufficiently practical and useful when parameters k and m are small.

• 응용통계연구
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• 제21권6호
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• pp.1015-1026
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• 2008

본 논문에서는 테니스 동호인의 복식경기에 대하여 참여 선수 n이 4의 배수인 경우(n = 4, 8)와 그렇지 않은 경우(n = 5, 7)로 나누어 복식조를 편성하는 방법을 다루었다. 라운드로빙 방식에 기초하여 최초의 복식조를 편성하고, 파트너-상대 표와 ox(경기-휴식) 표를 이용하여 일반적으로 좋아하는 경기 진행패턴에 따른 손실함수를 정의하고 정의 된 손실함수 값을 최소로 하는 복식조 및 경기순서를 결정하였다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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• pp.162-163
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• 2016

This paper presents a mathematical model for optimizing earthwork allocation plan that minimizes earthwork cost. The model takes into account operational constraints in the real-world earthwork such as material-type (i.e., quality level of material) and quantities excavated from cut-sections, required quality of material and quantities for each embankment layer, top-down cutting and bottom-up filling constraints, and allocation orders. These constraints are successfully handled by assuming the rock-earth material as the three dimensional (3D) blocks. The study is of value to project scheduler because the model identifies the optimal earth allocation plan (i.e., haul direction (cut and fill pairs), quantities of soil, type of material, and order of allocations) expeditiously and is developed as an automated system for usability. It is also relevant to estimator in that it computes more realistic earthworks costs estimation. The economic impact and validity of the mathematical model was confirmed by performing test cases.

• 한국통신학회논문지
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• 제21권4호
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• pp.848-854
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• 1996

Many image display devices allow only a limited number of colors to be simultaneously displayed. in disphaying of natural color image using color palette, it is necessary to construct an optimal color palette and the optimal mapping of each pixed of the original image to a color from the palette. In this paper, we proposed the clustering algorithm using local region block centered one color cluster in the prequantized 3-D histogram. Cluster pairs which have the least distortion error are merged by considering distortion measure. The clustering process is continued until to obtain the desired number of colors. The same as the clustering process, original color value. The proposed algorithm incroporated with a spatial activity weighting value which is reflected sensitivity of HVS quantization errors in smoothing region. This method produces high quality display images and considerably reduces computation time.

• 한국정밀공학회지
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• 제14권8호
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• pp.122-129
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• 1997

In this paper, we propose a Hopfield model for solving the part-matching in case that is the number of parts and positions are changed. The goal of this paper is to minimize part-connection in pairs and total path of part-connections. Therefore, this kind of problem is referred to as a combinatiorial optimization problem. First of all, we review the theoretical basis for Hopfield model and present two optimal algorithms of part-matching. The first algorithm is Traveling Salesman Problem(TSP) which improved the original and the second algorithm is Wdighted Matching Problem (WMP). Finally, we show demonstration through com- puter simulation and analyze the stability and feasibility of the generated solutions for the proposed con- nection methods. Therefore, we prove that the second algorithm is better than the first algorithm.

• Genomics & Informatics
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• 제17권3호
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• pp.28.1-28.9
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• 2019

Bar-code (tag) microarrays of yeast gene-deletion collections facilitate the systematic identification of genes required for growth in any condition of interest. Anti-sense strands of amplified bar-codes hybridize with ~10,000 (5,000 each for up-and down-tags) different kinds of sense-strand probes on an array. In this study, we optimized the hybridization processes of an array for fission yeast. Compared to the first version of the array (11 ㎛, 100K) consisting of three sectors with probe pairs (perfect match and mismatch), the second version (11 ㎛, 48K) could represent ~10,000 up-/ down-tags in quadruplicate along with 1,508 negative controls in quadruplicate and a single set of 1,000 unique negative controls at random dispersed positions without mismatch pairs. For PCR, the optimal annealing temperature (maximizing yield and minimizing extra bands) was 58℃ for both tags. Intriguingly, up-tags required 3× higher amounts of blocking oligonucleotides than down-tags. A 1:1 mix ratio between up- and down-tags was satisfactory. A lower temperature (25℃) was optimal for cultivation instead of a normal temperature (30℃) because of extra temperature-sensitive mutants in a subset of the deletion library. Activation of frozen pooled cells for >1 day showed better resolution of intensity than no activation. A tag intensity analysis showed that tag(s) of 4,316 of the 4,526 strains tested were represented at least once; 3,706 strains were represented by both tags, 4,072 strains by up-tags only, and 3,950 strains by down-tags only. The results indicate that this microarray will be a powerful analytical platform for elucidating currently unknown gene functions.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권4호
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• pp.525-536
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• 2004

유전발현 데이타는 생명체의 특정 조직에서 채취한 샘플을 microarray상에서 측정한 것으로, 유전자들의 발현 정도가 수치로 나타난 데이타이다. 일반적으로 정상조직과 이상조직에서 관련 유전자들의 발현정도는 차이를 보이기 때문에, 유전발현 데이타를 통하여 질병을 분류할 수 있다. 이러한 분류에 모든 유전자들이 관여하지는 않으므로 관련 유전자를 선별하는 작업인 특징선택이 필요하며, 선택된 유전자들을 적절히 분류하는 방법이 필요하다. 본 논문에서는 상관계수, 유사도, 정보이론 등에 기반을 둔 7가지 특징선택 방법과 대표적인 6가지 분류기에 대하여 특징-분류기 쌍의 최적 앙상블을 탐색하기 위한 유전자 알고리즘 기반 방법을 제안한다. 두 가지 암 관련 유전자 발현 데이타에 대하여 leave-one-out cross validation을 포함한 실험을 해본 결과, 림프종 데이타와 대장암 데이타 모두 단일 특징-분류기 쌍보다 훨씬 우수한 성능을 보이는 앙상블들을 발견할 수 있었다.