• Science of Emotion and Sensibility
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• v.24 no.3
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• pp.71-80
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• 2021

Previous studies using facial expressions have revealed valence and arousal as two core dimensions of affective space. However, it remains unknown if the two dimensional structure is consistent across ages. This study investigated affective dimensions using six facial expressions (angry, disgusted, fearful, happy, neutral, and sad) at three ages (young, middle-aged, and old). Several studies previously required participants to directly rate subjective similarity between facial expression pairs. In this study, we collected indirect measures by asking participants to decide if a pair of two stimuli conveyed the same emotions. Multidimensional scaling showed that "angry-disgusted" and "sad-disgusted" pairs are similar at all three ages. In addition, "angry-sad," "angry-neutral," "neutral-sad," and "disgusted-fearful" pairs were similar at old age. When two faces in a pair reflect the same emotion, "sad" was the most inaccurate in old age, suggesting that the ability to recognize "sad" decreases with old age. This study suggested that the general two-core dimension structure is robust across all age groups with the exception of specific emotions.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.3
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• pp.37-46
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• 2013

Similarity measure of catchments is essential for regionalization studies, which provide in depth analysis in hydrological response and flood estimations at ungauged catchments. However, this similarity measure is often biased to the selected catchments and is not clearly explained in hydrological sense. This study applied a type of hydrological similarity distance measure-Flood Estimation Handbook to 25 Geum River catchments, Korea. Three Catchment Characteristics, Area(A)-Annual precipitation(SAAR)-SCS Curve Number(CN), are used in Euclidian distance measures. Furthermore, six index of Flow Duration Curve are applied to clustering analysis of SPSS. The catchments' grouping of hydrological similarity measures suggests three groups (H1, H2 and H3) and the four catchments are not grouped in this study. The clustering analysis of FDC provides four Groups; F1, F2, F3 and F4. The six catchments (out of seven) of H1 are grouped in F1, while Sangyeogyo is grouped in F2. The four catchments (out of six) of H2 are also grouped in F2, while Cheongju and Guryong are grouped in F1. The catchments of H3 are categorized in F1. The authors examine the results (H1, H2 and H3) of similarity measure based on catchment physical descriptors with results (F1 and F2) of clustering based on catchment hydrological response. The results of hydrological similarity measures are supported by clustering analysis of FDC. This study shows a potential of hydrological catchment similarity measures in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1571-1574
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• 2012

소프트웨어 개발에 있어 각 단계별 프로세스 활동들에 대한 분석 및 평가는 소프트웨어의 품질을 좌우하는 큰 요인이다. 따라서 많은 소프트웨어 척도들이 소프트웨어 품질을 분석하는데 이용되고 있으며 유사 프로젝트를 통해 설정되는 기준치와 척도 값의 비교가 수행된다. 하지만 기존의 유사 프로젝트를 찾기란 쉽지 않은 일이며 유사 프로젝트를 찾더라도 해당 프로젝트의 개발 환경은 현재 개발 중인 프로젝트의 환경과 다른 경우가 많다. 따라서 본 논문에서는 외적인 기준치에 의존하지 않고 현재 개발 단계의 인스펙션 결과를 분석하는 방법을 제시하도록 한다. 산포도를 이용한 상대적 데이터 분석이 이용되며 국방 도메인에서 개발 중인 프로젝트 내부 31 개의 기능으로부터 수집된 데이터를 통한 사례분석을 수행하도록 한다. 이를 통해 기능들 간 현재 개발 과정의 일관성 유지 여부를 평가하고 다음 개발 단계의 프로세스 활동 강화 여부에 대한 권고 사항을 제시할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.83-89
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• 2022

As a representative technique of recommender systems, collaborative filtering has been successfully in service through many commercial and academic systems. This technique recommends items highly rated by similar neighbor users, based on similarity of ratings on common items rated by two users. Recently research on time-aware recommender systems has been conducted, which attempts to improve system performance by reflecting user rating time of items. However, the decay rate uniform to past ratings has a risk of lowering the rating prediction performance of the system. This study proposes a rating time-aware similarity measure between users, which is a novel approach different from previous ones. The proposed approach considers changes of similarity value over time, not item rating time. In order to evaluate performance of the proposed method, experiments using various parameter values and types of time change functions are conducted, resulting in improving prediction accuracy of existing traditional similarity measures significantly.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.7
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• pp.1243-1248
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• 2008

As development in technology of bioinformatics recently mates it possible to operate micro-level experiments, we can observe the expression pattern of total genome through on chip and analyze the interactions of thousands of genes at the same time. In this thesis, we used CDNA microarrays of 3840 genes obtained from neuronal differentiation experiment of cortical stem cells on white mouse with cancer. It analyzed and compared performance of each of the experiment result using existing DT, NB, SVM and multi-perceptron neural network classifier combined the similar scale combination method after constructing class classification model by extracting significant gene list with a similar scale combination method proposed in this paper through normalization. Result classifying in Multi-Perceptron neural network classifier for selected 200 genes using combination of PC(Pearson correlation coefficient) and ED(Euclidean distance coefficient) represented the accuracy of 98.84%, which show that it improve classification performance than case to experiment using other classifier.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.181-188
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• 2006

In this paper, we propose a search algorithm for similar example-sentences in the computer-aided translation. The search for similar examples, which is a main part in the computer-aided translation, is to retrieve the most similar examples in the aspect of structural and semantical analogy for a given query from examples. The proposed algorithm is based on the Needleman-Wunsch algorithm, which is used to measure similarity between protein or nucleotide sequences in bioinformatics. If the original Needleman-Wunsch algorithm is applied to the search for similar sentences, it is likely to fail to find them since similarity is sensitive to word's inflectional components. Therefore, we use the lemma in addition to (typographical) surface information. In addition, we use the part-of-speech to capture the structural analogy. In other word, this paper proposes the similarity metric combining the surface, lemma, and part-of-speech information of a word. Finally, we present a search algorithm with the proposed metric and present pairs contributed to similarity between a query and a found example. Our algorithm shows good performance in the area of electricity and communication.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.569-582
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• 2015

This study deals with six spa touristy places to analyze the similarity in image and selection factor recognition through multidimensional scaling method. The result is as following. First, as a result of analysis in the similarity in Image of the 6 touristy Spa places, each "Asan and Onyang" and "Suanbo and Ducksan" form different similar image groups. However, Yoosung does not share the similarity in Image that other Spa places own. Second, as a result of analysis of selection factors in the six touristy spa places, it is found out that there is no big difference in selection factors such as 'spa facility', 'a fee to use', and 'quality of service' in the six spa places. Yet, Onyang, Yoosung, Ducksan, and Suanbo spa reflect high selection factor as 'a recognized spa place' different from Asan and Dogo where the reflection of selection factor is low. Onyang, Yoosung, and Dogo regions reflect high selection factor as a 'Touristy destination' while Asan reflects low selection factor.

• Korean Security Journal
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• no.53
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• pp.137-157
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• 2017

The purpose of this study was to analyze similarity on types of illegal weapon self-report such as firearms, swords, shells, bullets, explosives in 16 regions of Korea in 2011, 2015. The results of this study were as follows. First, the types of illegal weapon self-report in 2011 were divided into two clusters, such as (1) 'cluster 1' including firearms, swords, shells and explosives, (2) 'cluster 2' including bullets. Second, the multidimensional scales on the types of illegal weapon self-report in 2011 were firearms located in the lower right corner(4/4), swords located in the lower right corner(4/4), shells located in the lower right corner(4/4), bullets located in the center left corner(3/4), explosives located in the higher right corner(1/4). Third, the types of illegal weapon self-report in 2015 were divided into two clusters, such as (1) 'cluster 1' including firearms, swords, shells and explosives, (2) 'cluster 2' including bullets. Forth, the multidimensional scales on the types of illegal weapon self-report in 2015 were firearms located in the lower right corner(4/4), swords located in the higher right corner(1/4), shells located in the higher right corner(1/4), bullets located in the center left corner(2/4), explosives located in the center right corner(4/4).

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.132-139
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• 2002

본 실험은 청각 사상관련전위(ERP)를 이용하여 다양한 성격 특질 모형들의 생물학적 근거와, 구조의 공통점과 차이점을 명확히 하기 위해서 설계되었다. 48명의 대학생 피험자들에게 4가지 성격 측정 검사(NEO-PI-R, EPQ-R, BIS/BAS 척도, IVE)를 시행하고, 이어 두 종류의 청각 자극 세트(50ms와 300ms)를 이용한 오드볼 과제를 통해 ERP를 측정하였다. 설문지 간의 상관과, 설문지와 ERP 내외생적 구성 요소 간의 상관, 그리고 그 상관의 두피 분포 양상을 통합적으로 고려하여 해석하였다. 각 성격 검사의 외향성 척도에 해당한다 할 수 있는 E, E, BAS-FUN은 양성 모두에서 높은 수준의 설문지 척도 간 정적 상관을 보였으나, 50ms 자극으로 유발된 P3 진폭은 E와 BAS-FUN에 대해서만 유의하게 높은 상관을 나타내었다. 이 결과는 Eysenck의 모델과 일견 일치하는 결과이지만, 그가 개발한 EPQ-R의 외향성 척도(E) 보다는 오히려 다른 척도들이 뇌파에 반영된 성격의 생물학적 기제를 측정하기 위한 적절한 도구일 수도 있음을 시사한다. 신경증적 경향성을 반영하는 N과 N 척도는 50ms 자극에 대한 여성 피험자의 N1, P2 진폭과 유의한 상관을 보였다. 그러나 이론적으로 두 척도에 등가적인 것으로 예상되었던 BIS 척도는 설문지 간 상관이나 ERP 요소와의 상관에서 모두 유의한 결과를 보이지 않았다. Eysenck가 성격의 세 번째 축(차원)으로 제시했던 P(정신병적 경향성) 역시 여성 피험자들에게서 두드러지는 설문지 간 상관을 보였으나, 300ms 자극에 대한 P2 진폭과의 정적인 상관은 양성을 합한 자료에서만 발견되었다. 여성의 상관 분포는 비록 통계적으로 유의한 수준에는 이르지 못하였으나, 양성 자료의 분포와 유사함이 확인되었다. 이 실험의 결과는 P3 진폭과 외향성 간의 부적인 상관 관계를 보고하였던 기존 연구들을 지지한다. 또한 본 실험에서 확인된 Eysenck 모델의 신경증적 경향성이나 정신병적 경향성이 ERP의 비교적 초기에 나타나는 외생적 구성 요소들(N1, P2)과의 상관 양상은, P3 요소에 집중하였던 기존 연구들이 외향성 이외의 차원으로 일관된 결과를 얻어내지 못했던 이유를 설명해줄 수 있을 것이다. 또한 성격 차원과 그것을 지표 하는 ERP 구성 요소 간의 관계를 해석할 때에 성별이나 유발 자극의 속성을 고려해야 함을 보여준다.

• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.1-10
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• 2009

The purpose of this study is to find out the relationship between the design factor and the sensitivity in web site. The classification of sensitivity-types consists of the research of books and the survey, and the language specialist's review and the analysis of factor. The research of the Image Scale accomplished through the analysis of the result of sensitivity-types. The major findings of the analysis are summarized as follows. The webpage sensitivity-types are classified into the 7 types, namely 'refreshment', 'calm', 'refinement', 'strongness', 'youth', 'uniqueness', 'futurity'. As a result of analyzing of similarity between the adjectives by multiple standards, the web site Image Scale space consists of the axis between 'heavy-light' and 'soft-hard'. As a result of the research of relationship between the web site design factor and the emotion, the color and the layout influenced into 'soft-hard' much, and the light and the color influenced into 'heavy-light' much.