• Information Systems Review
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• v.22 no.4
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• pp.163-184
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• 2020

The information on SNS, which is created by the forms of postings and comments, is being magnified and redistributed to news media expanding its impacts on real words. This amplifying effects of SNS comments have been increasingly discussed but there still lacks the answers for which dimensions of information is magnified, and what affects the direction and the degree of the amplification. This study, therefore, explores the detailed dimensions that are magnified by SNS comments and how SNS posting structure and social network characteristics affect them by using sentiment analysis. By analyzing 2,378 Facebook postings and news articles and their 26,312 SNS and 74,730 news site comments, this study shows that SNS comments magnify the sentiments of the posting articles they are attached to. In comparison to news site comments, SNS comments magnify the cognitive and social dimensions more than the news site comments. In the affective dimension, they tend to magnify only the positive emotion more than news site comments. Also, the findings reveal that whether the article in the posting is written by the posting owner affects the degree of amplification when the comments are remained positive or switched positive, while the opposite determines the amplification when comments remain negatively, suggesting that the user relationship in social network is the important factor that affects the direction and the degree of the information amplification in SNS.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.666-668
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• 2018

최근 반려동물을 키우는 가구 수의 증가와 함께, 반려묘에 대한 관심도 상당히 증가하고 있다. 특히 반려인은 반려묘와의 원활한 의사소통과 교감을 바라지만 반려묘의 세세한 감정 상태를 24시간 내내 파악하는 것은 어려운 일이다. 본 논문에서는 반려묘의 울음소리에 많은 감정 및 상태 정보가 담겨있는 것에 착안하여, 반려묘의 울음소리를 기반으로 감정을 분류하는 시스템을 제안한다. 제안된 시스템은 먼저, 이미 수집된 소리 데이터를 데이터 증폭 방법론을 이용하여 데이터를 확장 한 후, 해당 소리들의 멜 스펙트로그램 정보를 추출한다. 이를 시계열 정보 처리에 효과적인 LSTM에 적용하여 반려묘의 감정 상황을 식별할 수 있도록 학습을 수행한다. 실험 결과, 반려묘의 감정 상태 분류의 가능성을 확인하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.243-246
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• 2019

본 논문에서는 감성과 힐링, 머신러닝이라는 주제를 바탕으로 딥러닝을 통한 사용자의 얼굴표정을 인식하고 그 얼굴표정을 기반으로 음악을 재생해주는 얼굴표정 기반의 음악재생 프로그램을 제안한다. 얼굴표정 기반 음악재생 프로그램은 딥러닝 기반의 음악 프로그램으로써, 이미지 인식 분야에서 뛰어난 성능을 보여주고 있는 CNN 모델을 기반으로 얼굴의 표정을 인식할 수 있도록 데이터 학습을 진행하였고, 학습된 모델을 이용하여 웹캠으로부터 사용자의 얼굴표정을 인식하는 것을 통해 사용자의 감정을 추측해낸다. 그 후, 해당 감정에 맞게 감정을 더 증폭시켜줄 수 있도록, 감정과 매칭되는 노래를 재생해주고, 이를 통해, 사용자의 감정이 힐링 및 완화될 수 있도록 도움을 준다.

• Science of Emotion and Sensibility
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• v.9 no.4
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• pp.321-329
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• 2006

Recently there has been interested in the role of emotion in human computer interaction fields. The present study investigated whether the users emotional state effects on information search pattern for decision making in small screen display. In experiment, to induce specific emotional states(positive and negative emotional state), the participants were asked to listen to music and imagine autobiographic events with different emotional impacts. Subsequently, they performed time limit search tasks with three travel information on small screen display and their search patterns were recorded on real time. The results indicated that a positive emotional state caused more wide and fast Information search pattern in comparison with neutral and negative emotional state. And neutral and negative emotional state caused more cognitive resource to details in comparison with positive emotional state.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.613-621
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• 2016

This paper has the first aim to analyze Elsa's magic power of why and how she, as a heroine in the animation of Frozen, is in the emotion of fear and anger. This paper will explain why these two emotions are twisted compound to identify Elsa's iced emotion in the ice kingdom. And secondly, this paper attempts to connect Elsa's fear emotion in her real life is the other flip with that of anger throughout the characters' network in Frozen, which symbolically reflect the feminine pattern of real society that Walt Disney prospects for the dream society. Through the cognitive process for Elsa's ice kingdom between emotion status and social network, we can assume the pattern of social network with emotional chart and the archetype of human emotion through the cognitive-emotional storytelling on the emotion of Elsa in Frozen.

• Journal of Oral Medicine and Pain
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• v.24 no.3
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• pp.325-333
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• 1999

최근 중합효소연쇄반응을 이용한 분자생물학적 유전자분석기술의 발달로 성염색체상의 유전좌위 증폭을 통한 성별감정이 활발히 이루어지고 있다. 그중 사람 Y염색체상에 존재하는 남성 고환의 형성을 유도하는 sex-determining region Y(SRY) gene이 규명되어 유전질환의 조기 발견이나 예방 및 태아의 성별판정 등에 응용되고 있다. 그러나, 치아는 외부 환경에 대한 저항성이 가장 높은 장기로 성별감정 등 법의치과학적 개인식별에 널리 이용되고 있음에도 불구하고, SRY 유전자를 이용하여 치아에서의 성별감정에 대한 연구는 시도된 바 없다. 따라서, 본 연구에서는 사람 치아에서 중합효소연쇄반응법을 이용한 SRY 유전자를 검출하여 성별판정에 용용하고자 하였다. 남녀 각각 20개 치아의 치수와 상아질에서 DNA를 추출하여 중합효소연쇄반응 을 시행하고 SRY 유전자를 검색한 결과, 남성에서는 치수 13개중 8개, 상아질 7개중 4개에서 SRY 유전자가 검출되었고, 여생에서는 검출되지 않았다. 이러한 결과는 중합효소연쇄반응법을 이용하여 사람 치아에서 SRY 유전자를 검색할 때, 남성판별에 유용하고 치아를 이용한 성별감정시 기존의 성별감정에 이용되고 있는 다른 유전자와 함께 SRY 유전자를 검색함으로써 성별감정의 신뢰도를 높힐 수 있을 것으로 사료된다.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.343-344
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• 2007

본 논문은 의사표현이 어려운 전신마비환자의 뇌파(EEG)를 이용하여 긍정과 부정을 표현할 수 있는 방법에 대해서 소개한다. 더 나아가 인간의 감정에 따라 긍정과 부정을 민감하게 반응하는 뇌 영역을 분석하였다. 해당영역의 뇌파(EEG)변화를 측정하기 위해 컴퓨터 시스템과 접목시키는 목적도 포함하고 있다. 이를 위해서 미약한 뇌파를 증폭 시키는 전치 증폭기를 구현하였고 인공산물과 뇌파 주파수영역만을 통과시키는 아날로그 전자회로를 구현하였다. 또한 인간의 두뇌피질로부터 측정된 신호는 컴퓨터 시스템에 전송된다. 수신된 신호를 실시간 Fast Fourier Transform(FFT) 신호처리과정을 거쳐 뇌파의 주파수 영역을 분류하게 된다. 이때 분류된 뇌파를 바탕으로 인간의 긍정과 부정을 표현할 수 있는 방법을 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.662-672
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• 2017

Child sexual crimes have increased, but there has been no effective plan to combat this. Films reporting problems, amplify the attentions and propose countermeasures, which leads to changes. The current study examined the audiences' reactions to child sexual crime faction films using text-mining. The analysis of Naver's 2,727 blogs showed realistic words while 3,000 review comments' analysis demonstrated emotional responses. The positive and negative emotional category and degree were also different. In , the higher degree of negative emotions, such as 'angry' and 'unpleasant' appeared frequently. In , only negative emotional worlds were used. On the other hand, 'sad' was the highest ranked word, and the negative level was weak. In , 'good' a positive emotional word solely emerged. The audiences perceived the accidents objectively before release while they expressed their emotions and feelings after watching the movies. caused explosive anger and organized the participating citizens for changes. This movie provided an opportunity to enforce a legislative bill intensifying heavy punishments. The present study is significant in scrutinizing the audiences' diverse emotional reactions and discusses the future direction of society prosecution movies. Based on the text analysis of the audiences' linguistic expressions, a future study will be needed to hierarchically classify the diverse emotional expressions.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.209-214
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• 2019

The study is a hypothetical one about how to cut out a single emotion and activate it positively. The study could be used to treat literary therapy through AI. In this study, Hwang Jin-yi's Sijo "Long and Long Night of Winter Solstice Month" was studied. Because this work is very appropriate for the study of emotional cutting and interlinking. This counting method of treatment was used in this Sijo. Hwang Jin-yi's work cuts out "Long and Long Night of Winter Solstice Month" from the beginning. And they dream of regenerating their emotions by putting the time of their cut-off under the 'blanket of the spring breeze.' And in the end, the time of yearning unfolds to infinity, very finely. The extended hours of longing were added to the 'blanket of the spring breeze.' Spread out the times of yearning, it dreams of eternal love, the yearning for everlasting love. These literary acts are expected to lead to many changes in the human nervous system. This is the method of love that dreams of healing emotions in literature. Lover was left but not sent, lover's love amplifies feelings of joy. This method of emotional counting is believed to be very useful in the upcoming literary treatment by AI.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.187-201
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• 2016

The purpose of this study was to analyze the smart phone usage experience structure for college students. The phenomenology approach was used by conducting 4 times in-depth interviews with the 7 college students age between 20~23. Collected Data was analyzed by Giorgi's phenomenological method. There were 4 general structure descriptions and 28 themes. General structure descriptions were 'Dependence on smart phone', 'Phenomenon of smart phone usage', 'Results of smart phone usage' and 'Relationship between stress and smart phone'. Themes consisted of 'Ambivalence', 'Positive feelings for smart phones', 'Separation anxiety', 'Negative feelings for smart phones'. 'Dependent feelings for smart phones', 'A sense of unity with smart phones', 'Helpful for my life', 'Deeply involved with my life', 'Useful tool in my life', 'Study, communication, relaxation and health care', 'Maintain personal relationship', 'The most important thing in my life', 'Shallow relationship stress', 'Interference with personal relationship', 'Forming a negative relationship', 'Invasion of privacy', 'Forming a Incorrect relationship', 'Unwanted participation', 'No effort to improve relationship', 'Poor concentration', 'Interference with academic study', 'Study assistance', 'Limited help for study in depth', 'Shelter from the stress', 'Amplification of the stress', 'Obsessive focus', 'Feel separation for the reality' and 'Waste of time'. Smart phone usage make college students dependent on smart phones and had negative influence on both personal relationship and academic results. Usage of smart phone also amplified stress. Therefore we need fundamental principles on usage of smart phone and propose to build cultural etiquette that provides reasonable way to use smartphone.