• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.2
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• pp.338-343
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• 2004

In Block Matching Algorithm (BMA), a search pattern has a very important affect on the search time and the output quality. In this paper, we propose the HDS( Half Diamond Search) pattern based on the cross center-biased distribution property of a motion vector. At lust, the 4 points in the above, below, left, and right around the search center is calculated to decide the point of the MBD (Minimum Block Distortion). And an above point of the MBD is checked to calculate the SAD. If the SAD is less than the previous MBD, this process is repeated. Otherwise, the left and right points of MBD are calculated to decide the points that have the MBD between two points. These processes are repeated to the predicted direction for motion estimation. Experiments show that the speedup improvement of the proposed algorithm can be up to 23% while maintaining similar image quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.585-586
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• 2009

홉필드 네트웍은 패턴 매칭과 더불어 최적화 문제를 푸는 도구로 사용될 수 있다. Ali에 의해 제안된 최적 경로 탐색 알고리즘을 개선하여 계산량을 대폭 줄이고 효과적으로 최적 경로를 탐색할 수 있다. 노드의 제곱인 브랜치수의 뉴런이 필요한 Ali 알고리즘은 탐색 네트워크가 커지면 많은 시간이 소요되는 단점이 있다. 본 논문은 계산량은 줄이면서 효과적으로 최적 경로를 탐색하는 방법을 제안한다.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.333-341
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• 2014

Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. Multi-view video coding requires high computational complexity. To reduce computational complexity and maintain the image quality, an effective early termination motion estimation method is proposed in this paper. The proposed method exploiting the characteristic of motion vector distribution uses a hierarchical search strategy. This strategy method consists of multi-grid square search pattern, modified diamond search pattern, small diamond search pattern and raster search pattern. Experiment results show that the speedup improvement of the proposed method over TZ search method and FS(Full Search) method JMVC (Joint Multiview Video Coding) can be up to 1.7~4.5 times and 90 times faster respectively while maintaining similar video quality and bit rates.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2753-2758
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• 2009

The Navy is trying to develop a sonar-operation strategy that efficiently searches for underwater targets. To develop an efficient sonar-operation strategy, a simulation system, which can analyze the efficiency of various operation strategies, is needed. The simulation executes the strategical operation by collecting information of sea environment, destroyer, sonar, and target. Also, it should be able to provide diverse information according to its progression. In this study, the simulation system that can evaluate and analyze the effectiveness of the search strategy for underwater targets in different environments was designed and developed. The simulation system was developed, utilizing the sonar equation and the lateral-range-curve, and it portrays many patterns of realistic movements of a target. This system will contribute to developing and improving efficient sonar-operation strategies to find underwater targets in the future.

• Journal of Wetlands Research
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• v.19 no.4
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• pp.423-432
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• 2017

This study used SSARR model to predict the flood hydrograph for the Miho stream in the Geum river basin. First, we performed the sensitivity analysis on the parameters of SSARR model to know the characteristics of the parameters and set the range. For the parameter calibration, optimization methods such as genetic algorithm, pattern search and SCE-UA were used. WSSR and SSR were applied as objective functions, and the results of optimization method and objective function were compared and analyzed. As a result of this study, flood prediction was most accurate when using pattern search as an optimization method and WSSR as an objective function. If the parameters are optimized based on the results of this study, it can be helpful for decision making such as flood prediction and flood warning.

• Education of Primary School Mathematics
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• v.1 no.1
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• pp.3-22
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• 1997

본 연구는 첫째로는 수학교육에서 패턴이 강조되는 이론적 근거를 찾고자 역사적 맥락에서 수학의 성격변화를 탐색하였다. 수학의 성격 변화를 통하여 수학은 수의 탐구, 기하의 탐구, 운동ㆍ변화ㆍ공간의 탐구, 수학 연구의 도구에 대한 탐구로 그 영역을 점차 확대하여 왔으며, '수학은 패턴의 과학이다'라는 정의는 수학이 폭넓어짐에 따라 수학이 무엇인가에 대한 수학의 본성에 접근하는 논의라고 할 수 있다. 이러한 수학에 대한 새로운 관점은 수학교육의 새로운 방향 모색에 시사하는 바를 살펴보고, 특히 수학교실의 변화에 따른 패턴의 강조를 살펴보았다. 둘째로는 수학적 패턴을 밝힘과 동시에 수학 교육에서 수학적 패턴 분석의 틀을 마련하고자 수학적 패턴의 유형화를 시도하였다. 패턴의 속성에 따른 유형화와 패턴의 생성 방식에 따른 유형화를 통하여 수학적 패턴의 유형을 마련하였다. 초등학교 수학에서 다루어지는 패턴은 어떠한 것인가를 현행 4학년 수학교과서 및 익힘책에 제한하여 유형화한 틀로서 조사 분석하였다. 셋째로는 수학적 패턴에 관한 지도 방안의 모색으로서, 지도의 기본 방향을 설정하고 수학적 패턴에 관한 교수 전략을 마련하였다. 교수전략은 크게 패턴에서의 규칙 찾기, 패턴을 변형ㆍ확장하기, 자신의 새로운 패턴 만들기, 패턴을 수학적으로 설명하기로 나누고, 각각에 3-4개의 세부 전략과 세부 전략에 따른 예를 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.474-477
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• 2010

본 논문에서는 패턴인식을 이용한 의류의 결함을 자동으로 탐색하는 시스템을 설계하였다. 이는 히스토그램을 기반으로 하여 영상의 특징을 추출하고 템플릿 매칭을 이용해서 패턴을 추적하도록 하였스며, 또한, SSIM(Structural Similarity) Index를 통해 추적된 패턴과 원 패턴의 유사도를 HVS(Human Vision System)을 기준으로 하여 결함을 판별할수 있도록 하였다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.137-144
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• 2013

A sequential pattern mining is finding out frequent patterns from the data set in time order. In this field, a dynamic weighted sequential pattern mining is applied to a computing environment that changes depending on the time and it can be utilized in a variety of environments applying changes of dynamic weight. In this paper, we propose a new sequence data mining method to explore the stream data by applying the dynamic weight. This method reduces the candidate patterns that must be navigated by using the dynamic weight according to the relative time sequence, and it can find out frequent sequence patterns quickly as the data input and output using a hash structure. Using this method reduces the memory usage and processing time more than applying the existing methods. We show the importance of dynamic weighted mining through the comparison of different weighting sequential pattern mining techniques.

• KOGO NEWS
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• v.7 no.4
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• pp.3-9
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• 2007

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.3
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• pp.133-147
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• 2005

Various types of ray-tracing methods are used to predict the quantity measures of radiation illumination, the uniformity of illumination, radiation performance of LCD BLU(Hack-Light Unit). The uniformity of radiation illumination is one of the most important design factor of BLU and is usually controlled by the diffusive-ink pattern printed on the bottom of light-guide panel of BLU. Therefore it is desirable to produce an improved (ideally, the optimal) ink pattern to achieve the best uniformity of radiation illumination. In this paper, we applied the Welder-Mead simplex-search method among various direct search method to compute the optimal ink pattern. Direct search methods are widely used to optimize the functions which are often highly nonlinear, unpredictably discontinuous, and nondifferentiable, The ink-pattern controlling the uniformity of radiation illumination is one type of these functions. In this paper, we found that simplex search methods are well suited to computing the optimal diffusive-ink pattern. In extensive numerical testing, we have found the simplex search method to be reasonably efficient and reliable at computing the optimal diffusive-ink pattern. The result also suggests that optimization can improve the functionality of simulation tools which are used to design LCD BLU.