• Title/Summary/Keyword: 유사성 탐색

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Gaussian Noise Reduction Algorithm using Self-similarity (자기 유사성을 이용한 가우시안 노이즈 제거 알고리즘)

  • Jeon, Yougn-Eun;Eom, Min-Young;Choe, Yoon-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.5
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    • pp.1-10
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    • 2007
  • Most of natural images have a special property, what is called self-similarity, which is the basis of fractal image coding. Even though an image has local stationarity in several homogeneous regions, it is generally non-stationarysignal, especially in edge region. This is the main reason that poor results are induced in linear techniques. In order to overcome the difficulty we propose a non-linear technique using self-similarity in the image. In our work, an image is classified into stationary and non-stationary region with respect to sample variance. In case of stationary region, do-noising is performed as simply averaging of its neighborhoods. However, if the region is non-stationary region, stationalization is conducted as make a set of center pixels by similarity matching with respect to bMSE(block Mean Square Error). And then do-nosing is performed by Gaussian weighted averaging of center pixels of similar blocks, because the set of center pixels of similar blocks can be regarded as nearly stationary. The true image value is estimated by weighted average of the elements of the set. The experimental results show that our method has better performance and smaller variance than other methods as estimator.

Identification of the Differentially Expressed Genes of Hanwoo During the Growth Stage by Subtractive cDNA Hybridization (Subtraction 기법을 이용한 한우 성장 단계 특이 발현 유전자 탐색)

  • Jang, Y.S.;Kim, T.H.;Yoon, D.H.;Park, E.W.;Cheong, I.C.;Jo, J.K.
    • Journal of Animal Science and Technology
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    • v.44 no.1
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    • pp.13-22
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    • 2002
  • To identify the differentially expressed genes at growth stage of Hanwoo, we constructed the subtractive cDNA library from loin mRNA of 12- and 24-month old Hanwoo by PCR-based subtraction. The fourteen genes were confirmed by sequencing and reverse northern blot analysis, and they were selected as candidate of putative genes differentially expressed at the growth stage of Hanwoo. Three subtracted cDNA fragments that expressed specific signal to cDNA probe for 6-month-old loin of Hanwoo were highly homologous to those of the genes encoding EPV 20, Ca2+ATPase, and TCTP, respectively. The nine cDNA clones showed intense signal to cDNA probe from 12-month-old loin of Hanwoo, and highly homologus to those of genes encoding VCP, HSP 70, aldolase A, MSSK1, GM-2 activator protein, ryanodine receptor, acidic ribosomal phosphoprotein p1, ADP/ATP translocase, and UCP 2, respectively. Two subtracted cDNA clones that expressed specific signal to cDNA probes for 12- and 24-month-old loin of Hanwoo were detected. One of them was highly homologus to the gene encoding ferrochelatase and the other was highly homologus to the gene encoding ADRP.

A Fast Motion Estimation Algorithm using Predictive Motion Vector (예측 움직임 벡터를 이용한 고속 블록 추정 알고리즘)

  • Kim, Jin-Wook;Park, Tae-Geun
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.331-334
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    • 2005
  • 움직임 추정은 비디오신호의 압축에 중요한 역할을 한다. 본 논문은 효율적으로 움직임 벡터를 찾기 위하여 움직임 벡터의 시간적, 공간적 유사성을 이용하였다. 벡터를 검색하기 이전에 움직임 벡터의 검색 범위를 크게 9개의 영역으로 나눈 후, 이전 프레임에서 동일한 위치, 현재 프레임의 현재 매크로블록의 상위, 상우와 좌측의 매크로블록에서의 움직임 벡터까지 총 4개의 움직임 벡터를 이용하여 9개의 영역 중 한 영역을 제 1 후보, 그를 둘러싼 영역을 제 2 후보라 정하고 극소점들(Local Minima)을 피하였다. 모의실험을 통한 결과 NDS(New Diamond Search) 알고리즘에 비하여 매크로블록 당 평균 탐색 포인트 수가 5.79 포인트 감소하고, MSE는 최대 104.23 감소한 것을 확인할 수 있었다.

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Antecedents of consumers' decision postponement on purchasing fast fashion brands (패스트 패션 브랜드에 대한 소비자 의사결정 연기의 선행변수)

  • Park, Hye-Jung
    • The Research Journal of the Costume Culture
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    • v.22 no.5
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    • pp.743-759
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    • 2014
  • The purpose of this study is to identify the antecedents of consumers' decision postponement on purchasing fast fashion brands. Ongoing search behavior, overchoice confusion, and similarity confusion were considered as antecedents. It was hypothesized that ongoing search behavior influences decision postponement both directly and indirectly through overchoice confusion and similarity confusion. Data were gathered by surveying university students in Seoul, using convenience sampling. Three hundred five questionnaires were used in the statistical analysis, which were exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. Factor analysis proved that ongoing search behavior, overchoice confusion, similarity confusion, and decision postponement were uni-dimensions. Tests of the hypothesized path proved that ongoing search behavior influences decision postponement indirectly through overchoice confusion. In addition, similarity confusion influences decision postponement. The results suggest some confusion reduction strategies for marketers of fast fashion brands. Suggestions for future study are also discussed.

An Explorative Analysis of Hypothesis-Generation by Pre-service Science Teachers (예비 과학교사들의 가설 창안 과정에 대한 탐색적 분석)

  • Kwon, Yong-Ju;Yang, II-Ho;Chung, Won-Woo
    • Journal of The Korean Association For Science Education
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    • v.20 no.1
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    • pp.29-42
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    • 2000
  • Hypothesis is defined as a single proposition proposed as a possible explanation for the occurrence of some observed phenomena. The purpose of this study was to analyze and categorize hypotheses generated by students on the cause of difference between the structures of muscles of the fishes and the terrestrial animals. A hypothesis-generating test was administered to 23 three college students who were majoring in science education. The study showed that college students generated manipulative and theoretical hypotheses as proposed explanations for the structural difference between muscles of the fishes and the terrestrial animals. Furthermore, students generated several hypotheses which were categorized by the quality of abductive process based on the degree of likeness between experienced knowledge and current phenomena. This study also discusses the implications of these findings for teaching and research in science education.

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Government's Social Media: A Study of Twitter Use and Network among Seven Nations (정부부처의 소셜미디어 소통방식: 국가간 트위터 이용 및 연결망에 대한 탐색적 연구)

  • Cho, Seong Eun;Park, Han Woo
    • The Journal of the Korea Contents Association
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    • v.13 no.8
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    • pp.160-170
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    • 2013
  • The present study analyzes a Twitter network of some 175 government organizations belonging to seven countries. They are South Korea, U.S., U.K., Australia, Canada, Singapore, and Japan. The results showed that the U.S. occupied the most central position in terms of the incoming followings. Next, some clusters among countries were also noticeable according to their cultural proximities including national languages. The findings also indicate that some governmental organizations are likely to make international ties with others whose main duties are similar to each other. Finally, the structural connectivity pattern of some inter-governmental Twitter networks was visualized using a social network software. On the other hand, it suggests that there is a potential for a soft power through social media and as a result, it could be assumed that a new knowledge hegemony appears in the future.

Inflow Forecasting Using Fuzzy-Grey Model (Fuzzy-Grey 모형을 이용한 유입량 예측)

  • Kim, Yong;Yi, Choong Sung;Kim, Hung Soo;Shim, Myung Pil
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.759-764
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    • 2004
  • 본 연구는 Deng(1989)이 제시한 Grey 모형을 이용하여 성진강댐의 월유입량을 예측하였고 그 방법을 제시하였다. Grey 모형은 시계열모형이나 다른 모형에 비해 비교적 적은 수의 자료를 이용하고, 간단할 수식으로 구성되어 있는 장점이 있으나, 적은 수의 자료로 인해 입력자료가 가지는 증감의 경향(trend)으로 오차가 발생하기 쉽다. 그러므로 예측오차를 극복하기 위해서 Fuzzy 시스템을 결합한 Fuzzy-Grey 모형을 구성하였고 Fuzzy 시스템에 필요한 매개변수를 추정하기 위해 최적화기법인 유전자 알고리즘(GA; Genetic Algorithm)을 이용하였다. Grey 모형과 결합된 Fuzzy 시스템은 현재의 입력자료가 가지는 패턴과 가장 유사한 패턴의 과거자료를 이용하여 현재의 입력자료의 예측오차를 추론해내는 기능을 가진다. 오차를 추론하기 위해서 과거 월유입량 자료중 현재 입력 자료와 유사한 패턴을 Grey 상관도를 이용하여 검색하고, 보다 높은 유사성을 가지는 패턴을 선별하고자 노름(norm)을 사용하였고, 유전자 알고리즘의 탐색공간을 제한하였다. 이렇게 구성한 Fuzzy-Grey 모형을 이용하여 전국적인 가뭄년도였던 1992년, 1988년, 2001년에 대해 섬진강댐의 월유입량을 예측하였다. 오차는 1982년, 2001년, 1988년 순으로 비슷한 크기의 오차가 발생하였는데 결과를 분석하여 보면, 급격한 월유입량의 변화가 있었던 경우에 오차가 크게 발생하였으나 가뭄년도에 대해 월유입량의 불확실성이 큼에도 불구하고 비교적 월유입량의 추세를 잘 예측한 것으로 판단된다. 본 연구에서 적용한 Fuzzy-Grey 모형은 적은 수의 자료를 이용하여 예측하고 예측결과를 다시 입력자료로 사용하는 업데이트 방식을 사용하기 때문에 예측결과의 오차가 완전하게 보정되지 않으면 다음 결과에 역시 오차를 주게 되어 오차보정이 상당히 중요하다는 것을 알 수 있었다. 오차를 보다 효과적으로 보정하기 위해서는 퍼지제어에 사용되는 퍼지규칙의 수를 늘리고, 유입량에 직접적인 영향을 주는 강우량과 연계한 2변수의 Fuzzy-Grey 모형을 이용한다면 보다 정확한 유입량 예측이 가능할 것으로 사료된다.

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A Route Search of Urban Traffic Network using Fuzzy Non-Additive Control (퍼지 비가법 제어를 이용한 도시 교통망의 경로 탐색)

  • 이상훈;김성환
    • Journal of Korean Society of Transportation
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    • v.21 no.1
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    • pp.103-113
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    • 2003
  • This paper shows alternative route search and preference route search for the traffic route search, and proposes the use of the fuzzy non-additive controller by the application of AHP(analytic hierarchy process). It is different from classical route search and notices thinking method of human. Appraisal element, weight of route is extracted from basic of the opinion gathering for the driving expert and example of route model was used for the finding of practice utility. Model evaluation was performed attribute membership function making of estimate element, estimate value setting, weight define by the AHP, non additive presentation of weight according to $\lambda$-fuzzy measure and Choquet fuzzy integral. Finally, alternative route search was possible to real time traffic route search for the well variable traffic environment, and preference route search showed reflection of traffic route search disposition for the driver individual. This paper has five important meaning. (1)The approach is similar to the driver's route selection decision process. (2)The approach is able to control of route appraisal criteria for the multiple attribute. (3)The approach makes subjective judgement objective by a non additive. (4)The approach shows dynamic route search for the alternative route search. (5)The approach is able to consider characteristics of individual drivers attributed for the preference route search.

An Exploratory Study on the Classification of Digital Game Genre based on the Degree of Interactivity (상호작용성 정도에 따른 게임 장르 유형의 탐색적 연구)

  • Kim, Yong-Young;Kim, Mi-Hye
    • Journal of Korea Game Society
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    • v.10 no.5
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    • pp.39-49
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    • 2010
  • The fundamental characteristic that digital games have is interactivity. Digital games need to be systematically categorized so that similarities and differences can be identified and analyzed. Research in the past, however, has not established common criteria for categorizing digital games. This paper resolves that gap by identifying the fundamental characteristic of games, interactivity, and develops a conceptual framework consisting of primary and corresponding participants, and controlling characters. Through an empirical analysis on some digital games, this study shows that the framework could be comprehensive covering all of interactivity during the game. Future research topics are presented based on this framework.

Development of Design Space Exploration for Warship using the Concept of Negative Design (네거티브 설계 개념을 이용한 함정 설계영역탐색법 개발)

  • Park, Jin-Won
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.412-419
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    • 2019
  • Negative space in the discipline of art defines the space around and between the subject of an image. The use of negative space is an element of artistic composition, since it is occasionally used to artistic effect as the "real" subject of an image. In painting, it is a technique that negatively touches the background of an object to be expressed, so that it gives a feeling of unique texture and silhouette by touching unnecessary parts while leaving necessary parts. As in art, negative space in a design can also be useful to identify an image of infeasible design ranges with a straightforward view. Similarity between two disciplines leads to the introduction of the negative space concept for design space exploration. A rough design space exploration using statistics and visual analytics may support more efficient decision-making, and can provide meaningful insights into the direction of early-phase system design. For this, the approach guarantees dynamic interactions between visualized information and human cognitive systems. Visual analytics is useful to summarize complex and large-scale data. It is useful for identifying feasible design spaces, as well as for avoiding infeasible spaces or highly risky spaces. This paper investigates the possible use of the negative space concept by using an application example.