• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.145-146
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• 2020

최근 급증하고 있는 다문화사회에서 다문화 가정의 가족 구성원의 안정적인 상태로의 정착과 특히 그 자녀들이 '건강하고 행복한 한국인'으로 동반 성장할 수 있는 방안 마련이 현재 주요 과제 중 하나라고 할 수 있다. 무엇보다도 한국의 저출산율은 사회를 구성하는 문제와 인구 노동력 감소로 이어져 국력까지 약화시킨다. 이를 해소할 방안 중 하나로 외국인들을 부족한 한국사회의 인구로 보충하는 것이다. 다문화 가정을 통한 자녀 출산과 그 자녀들로 하여금 성인인구를 늘리는가 하면 다문화가정의 자녀들이 사회의 구성원으로서 올바른 성장과 건강하고 행복한 한국인이 될 수 있도록 돕는 일이 우리 한국의 심각한 사회적 상황을 안정적으로 잘 지탱할 수 있는 길이다. 무엇보다도 감정의 기복이 심한 청소년기를 겪고 있는 다문화 가정의 청소년들의 학교생활적응과 관련된 연구의 필요성은 매우 중요한 역역이라고 볼 수 있다. 이에 본 연구는 학교생활적응에 중요한 작용을 하고 도움을 줄 수 있는 연구들의 필요성에 관한 방안들을 모색하고 향후 연구에 적용함으로써 학교생활에 대한 적응력을 높일 수 있는 기초적인 자료가 제공될 수 있도록 하는데 목적이 있다.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.114-129
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• 2010

The purpose of this study is the suggestion of tempos and genres to make a effective mood in a hotel and restaurant. As a result of this study, it was verified which genre and tempo is the most effective at each case of various restaurant. The result of this study shows that the genres and tempos of background music effect to a mood of customer, and a satisfaction related to a return visit and a recommendation. This paper offer a useful method when a manager want to change a ambience of business place. For example, a manager will be able to choose a change of background music instead of remodeling requiring much money. At the other case, a manager will be able to maximize a expression effect of business concept as following the suggestion of this study. This thesis suggests how a managers can simultaneously achieve a customer's satisfaction and a financial benefit by selection of music.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.333-340
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• 2022

The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.229-234
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• 2022

This study conducted a preliminary survey to study humanities healing methods for college students. Based on the student survey, we would like to present the research direction of humanities healing and find an appropriate humanities healing method. For quantitative analysis, 10 questions were constructed, focusing on BPS-Modell, Bio, Psycho, and Sozio of life. In the question of the Bio, 50% of the students said they understood their body, mind, and will and acted accordingly, but 20% of the students showed that their actions according to their body, mind, and will did not fit. In the question of Psycho, more than 50% of students said they communicated well with their inner selves, but less than 20% of students did not. In the question of Sozio of life, more than 60% of students form a social network well, but about 10% of students have very low attitudes or meanings toward life. The ultimate purpose of humanities is 'happiness', and the purpose of human life is also 'happiness'. We hope that the power of positivity to realize a stable future society and improve the quality of life will be expanded through humanities healing.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.105-111
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• 2023

The purpose of this study is to find out what self-reflection, relationship reflection, gratitude and happiness reflection, and social reflection among the sayings of Confucius in the Analects of Confucius are reinterpreted in various ways depending on the times and what meaning they contain today. Self-reflection is the process of considering one's identity, values, emotions, thoughts, and actions. Humans grow through reflection because they can identify their own problems, acknowledge their mistakes, find opportunities for improvement, and set a direction for the future. Confucius pursued the life of a gentleman as a person who constantly reflects on his life and grows. We classified it into the four categories presented above and examined them. In an era of coexistence with generative AI, Confucius' reflective life and teachings are recognized as important values in modern society in terms of human-centered value orientation, mature human relationships, and continuous social value realization, and reflection on happiness is the best attitude to life.

• The Journal of the Acoustical Society of Korea
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• v.16 no.2
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• pp.66-70
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• 1997

In order to obtain natural emotional voice in laboratory, an autobiographical recall method was used and happy, angry, sad and afraid feelings were induced in 16 college students. Three independent judges rated the subject's facial expressions and vocal characteristics. The mood induction results were compared with those from the actor-initiated method. Data analysis showed that recall-induced voices successfully conveyed subtle emotional cues, while actor-induced voices signaled more extreme emotioms. Implications of the autobiographical recall method in emotional voice research and potential problems are discussed.

• Journal of Popular Narrative
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• v.25 no.1
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• pp.123-161
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• 2019

The popularity of melodrama indicates that melodrama is composed in a historical context. This is the reason why it is necessary to analyze the imagination of melodrama within a sociocultural context rather than asking the essentialistic question of "What is melodrama?". (2016) and (2018) caused sensations while holding unchallenged top positions in terms of viewing rate and popularity. These dramas indicate the popular imagination and desire of Korean society in the 2010s during a period of upheaval. This paper analyzed imagination in melodrama with a focus on nation and emotions of individuals in and . In preexisting dramas, conflicts are often limited to individuals and families; on the contrary, in and , a nation appears as a motif that forms conflicts between individuals. In these intense situations of conflict, people make rational judgments at first; however, they soon dispose of such judgments and reveal value-oriented attitudes through emotions, which drive actions. Both dramas form poésie mainly through poetic rhyming and the mise-en-scène of objects. The dramas also amplify emotions. The main emotions of these dramas are sympathy and sadness. Such emotions are not consumed in itself; instead, they show moral aims through performativity. Consequently, sympathy becomes solidarity, and sadness becomes mourning. Unlike preexisting melodramas whose endings were simply pursuits of love and happiness within the realm of individuals, and demonstrate a moral imagination that simultaneously reminds us of the individual and community through solidarity and mourning.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.77-86
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• 2022

In this study, we reported the validation results of the Korean Affective Voice Database (KAV DB), an affective voice database available for scientific and clinical use, comprising a total of 113 validated affective voice stimuli. The KAV DB includes audio-recordings of two actors (one male and one female), each uttering 10 semantically neutral sentences with the intention to convey six different affective states (happiness, anger, fear, sadness, surprise, and neutral). The database was organized into three separate voice stimulus sets in order to validate the KAV DB. Participants rated the stimuli on six rating scales corresponding to the six targeted affective states by using a 100 horizontal visual analog scale. The KAV DB showed high internal consistency for voice stimuli (Cronbach's α=.847). The database had high sensitivity (mean=82.8%) and specificity (mean=83.8%). The KAV DB is expected to be useful for both academic research and clinical purposes in the field of communication disorders. The KAV DB is available for download at https://kav-db.notion.site/KAV-DB-75 39a36abe2e414ebf4a50d80436b41a.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.213-220
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• 2019

Desire for a happy life becomes the will that man instinctively desires. In that the conditions of happiness are subjective and varied, the will of subjective desires has been studied with the attention of objective tendencies. The positive and meaningful will of life in the desire for happiness leads us to be the functionaries who act. These wills can be the driving force of a happy life, which allows one to have a hopeful reflective will in one's inner life, connecting oneself with others, and working in relationships with others. In addition, those who become lazy or lose their orientation in life can instill a will to be the main character of life, and furthermore, to give the ultimate meaning and goals of life. To understand and analyze these wills for happy lives more specifically, structural model compatibility and confirmatory factors were conducted. relatively reliable α=.855 value, the coefficient of correlation between recognition and will **p<.01, *p<.05 statistically significant measuring tool of not less than 05 was used. The study results of the structural model suitability of the factors of will and the confirmatory factor analysis showed that the model set by the researcher could reflect the characteristics of the data collected, and that the χ²(Chi-square) value was .126, which was consistent with the model by satisfying the acceptance criteria, and that the comparison of the reference values of the study model showed a relatively high level of suitability. To identify the relationship between cognitive and defined and behavioral factors of subjective will and existent will variables, the results of a verification factor analysis show that the χ²(Chi-square) value is 2.36 and the model and data are consistent with the acceptance criteria, and that the test data is consistent with the model and data set by the researcher are consistent with the model5.0 Through structural model analysis of human will, it was confirmed that the variables of subjective and existential, sensible and reflective will directly and indirectly influence and form a complex relationship. Our will is recognized as the subjective will, and the structure of the subjective will consists of the sensible and reflective will, and the relationship between the cognitive and just action elements and the subjective will of the human life and the will to exist is shown to be very meaningful, so we should conduct the education of the happy will of the emotional and just areas of life as well as the reestablishment of the cognitive educational direction that can lead to action.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2894-2896
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• 2005

본 논문에서는 퍼지모델을 기반으로 한 형판 벡터를 이용하여 인간의 감성을 인식할 수 있는 방법을 제안한다. 먼저 형판을 이용하여 얼굴 영상으로부터 얼굴의 특징(눈썹, 눈, 입)들을 추출한다. 추출한 형판으로부터 형판 벡터를 추출하고 이를 퍼지모델에 적용한다. 그 다음 감정에 따라 변하는 각각의 상태정보 이용하여 인간의 감성(놀람, 화남, 행복함, 슬픔)을 인식하는 방법을 제안한다. 마지막으로, 제안된 방법은 실험을 통해 그 응용 가능성을 확인한다.