• Korean Journal of Human Ecology
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• v.5 no.1
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• pp.1-13
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• 2002

The purpose of this study was to verify the effectiveness of the parent education program through play to improve the relationships between mothers and children. The subject of this study consisted of 30 mothers with 4-7 aged child attending S-day-care center located in Ik-San. In order to examine the effectiveness of the parent education program through play, two groups were divided into 15 participants each. The experimental group participated in the parent education program for total 8 sessions(2 sessions per week over the 4 weeks) while the control group didn't. The instrument were 'Maternal Affection & Control Resources Scale developed by Cho, Bok Hee(1991) and 'Teacher-Child relationship Scale' by Pinata & Steinberg. Teacher-Child relationship Scale was modified to be appropriate for use with this program. Parental acceptance level was measured by modified Parental Acceptance Scale (P.P.A.S.) by porter(1954). The data were analyzed by SPSSWIN program. The statistical methods for data analysis were frequency, t-test. paired t-test. The main results of this study were as follows : First, the mothers who participated in the parent education program through play showed improvement in affectionate attitudes than before. Second, the mothers who participated in the parent education program through play have been improved in familiarity and have been decreased in conflict of relationships of mother-child than those who did not participated in. Third, the mothers who participated in parent education program through play improve the recognition on respect to children's emotion, emotional expression right, uniqueness of children's temperament and needs to children's independency and autonomy.

• The Journal of the Acoustical Society of Korea
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• v.39 no.5
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• pp.447-453
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• 2020

In this paper, we propose a system to extract effective speaker representations from a speech signal using a deep learning method. Based on the fact that speech signal contains identity unrelated information such as text content, emotion, background noise, and so on, we perform a training such that the extracted features only represent speaker-related information but do not represent speaker-unrelated information. Specifically, we propose an auto-encoder based disentanglement method that outputs both speaker-related and speaker-unrelated embeddings using effective loss functions. To further improve the reconstruction performance in the decoding process, we also introduce a discriminator popularly used in Generative Adversarial Network (GAN) structure. Since improving the decoding capability is helpful for preserving speaker information and disentanglement, it results in the improvement of speaker verification performance. Experimental results demonstrate the effectiveness of our proposed method by improving Equal Error Rate (EER) on benchmark dataset, Voxceleb1.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.67-80
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• 2012

Education market, with the opening of a recent study international recognition as part of an effort to broaden the Korean domestic universities paying attention on attracting foreign students. Foreign students in Korea domestic universities, particularly as a result of these efforts, and a surge in the number of Chinese students studying according to the learning outcomes and college life in adjusting to college life at the University of Chinese Students in Korea, and also heightened interest in social attachment and satisfaction, says impact on the student's college life due to the effects of Chinese students learning how to evaluate. Learning effects found emotion into college life, learning effects found body into college life, the perceptual learning effect to community college life, the perceptual learning effects, emotions college life, cognitive learning effect of the body into college life, academic college life college university of affecting life satisfaction, life satisfaction, body college life was.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.7
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• pp.907-912
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• 2007

The present level of ubiquitous computing technology have developed to the point where Home-server provides services that user require directly for user in the intelligent space. But it will need intelligent system to provides more active services for user in the near future. In this paper, we define the environment information about situation that user is in as Context, and collect the Context that stereotype as 4W1H form for construct the system that can decision service will be provide from information about a situation that user is in, without user's involvement. Additionally we collect information about user's emotional state, use these informations as nodes of Bayesian network for probabilistic reasoning. From that, we materialize Context Awareness system about it that what kind of situation user is in. And, we propose the Context-based Service reasoning model using Bayesian Network from the result of Context Awareness.

• Korean Journal of Childcare and Education
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• v.9 no.5
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• pp.321-334
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• 2013

The purpose of this study was to examine the relationship of father's verbal control modes, children's self efficacy, social competence and interactive peer play. The subjects were pairs of 195 three, four and five year-old-children and their fathers. Data were analyzed with mean, standard deviation, and bivariate correlation. Results indicated that father's verbal control modes were significantly correlated with children's self efficacy, social competence and interactive peer play. Father's person-oriented control verbal mode was positively related to children's self-recognition, self-emotion, social competence, leadership and interactive peer play while imperative control verbal mode was negatively related to children's instability, interrupted play behavior, and disturbed play behavior.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.1-18
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• 2017

Recently, identification of the extremely stressed condition of children is an essential skill for real-time recognition of a dangerous situation because incidents of children have been dramatically increased. In this paper, therefore, we present a model based on machine learning techniques for stress status identification of a child by using bio-signals such as voice and heart rate that are major factors for presenting a child's emotion. In addition, a smart band for collecting such bio-signals and a mobile application for monitoring child's stress status are also suggested. Specifically, the proposed method utilizes stress patterns of children that are obtained in advance for the purpose of training stress status identification model. Then, the model is used to predict the current stress status for a child and is designed based on conventional machine learning algorithms. The experiment results conducted by using a real-world dataset showed that the possibility of automated detection of a child's stress status with a satisfactory level of accuracy. Furthermore, the research results are expected to be used for preventing child's dangerous situations.

• Journal of the Korean Home Economics Association
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• v.50 no.8
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• pp.79-95
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• 2012

The purpose of this study is to seek improvement in clothing life education through a development and application of the clothing life education program for middle schools based on the education and experience in arts & culture. On the basis of art & culture education as well as, Dewey's experience, the clothing life area education program was designed and developed for the 2nd year students in the middle school. This program was applied to 350 students of 9 2nd year classes in M middle school during the 17 periods of clothing life area classes, beginning from May 23rd, 2011 and lasting to September 30th, 2011. The leaner-evaluation was performed in terms of the level of learning interest and academic achievement. To measure the level of academic achievement, a mind-map evaluation was performed and a learning effect survey, which evaluates the level of achievement of learning objectives, was carried out. For the purpose of class observation, classes were filmed and analyzed. Characteristics of a class were recorded on a teacher's diary and was used to support the qualitative evaluation. According to the results, the education program is analyzed as being helpful and useful in student understanding of fiber, textile and, clothes, which are materials and outcomes of culture and art; moreover, they have a historical, cultural and artistic value in themselves. It is also analyzed as being helpful for the development of student aesthetic sensibility and emotion, for the construction of meaningful experience through a learning process, for the improvement of learning interest and the level of academic achievement, and for the positive recognition of the learning effect.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.1147-1159
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• 2015

The purpose of this study was to verify the analysis of level of importance and satisfaction in recognitions of elementary school students on useful classes among school sport clubs using Importance-Performance analysis. In order to achieve this objective, samples were taken by using convenience sampling method among non-probability sampling methods, and 384 data were used as the final valid samples for this study except 16 data with missing items or insincere responses. The results of frequency analysis, exploratory factor analysis, independent samples t-test, IPA analysis by using SPSS 20.0 were as follows. First, Iquadrant included education contents of enhance ability to ingenuity, teaching method of provides option, teaching method of encourage participation activity, education contents of the aspect of fun, evaluation of motor function and emotion, education contents of explains key contents easily, and education contents of understanding overall context. II quadrant included education environment of good sport facility, class environment of fair opportunity for activity, class atmosphere of arouses interest, and class atmosphere of autonomous and voluntary. III quadrant included diverse teaching method and instructor's demonstration, class atmosphere of systematic learning, evaluation of fairness, objectivity, and credibility, and an atmosphere that can exercise. IV quadrant included education contents of enable acquisition of knowledge and degree of improvement into consideration, and class atmosphere of trust and respect between instructor and student.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.305-313
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• 2020

This study aims to examine the mediating effect of interpersonal trust on the effect of church conflict on church commitment. For this purpose, a survey was conducted on 218 christian adults. First, it was revealed that church conflict had a significant negative correlation with interpersonal trust. Second, church conflict had a significant negative correlation with church commitment. Third, the cognitive-based trust of church members showed a significant mediating effect on the effect of christian conflict on church commitment. Fourth, pastor's emotion-based trust had a significant mediating effect on the effect of christian conflict on church commitment. Based on these findings, we discussed the importance of trust based on pastor's sentiment and trust based on the recognition of fellow church members to manage church conflicts.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.271-273
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• 2006

본 논문에서는 신경망을 이용하여 텍스타일 영상으로부터 인간의 강성을 인식할 수 있는 시스템을 제안한다. 자동감성인식 시스템의 구현을 위해 220장의 텍스타일 영상을 수집한 후, 일반인 20명을 대상으로 설문조사를 실시하였다. 이를 통해 감성과 패턴간의 상관관계, 즉 특정 패턴이 사람의 감성에 영향을 준다는 것을 발견하였다. 따라서 본 연구에서는 영상에 포함된 패턴의 인식을 위해 신경망을 이용하였으며, 이때 패턴 정보의 추출을 위해 두 가지 특징 추출 방법을 사용한다. 첫 번째는 auto-regressive method를 이용한 raw-pixel data extraction scheme (RDES)을 사용하는 것이고, 두 번째는 wavelet transformed data extraction scheme (WTDES)을 사용하는 것이다. 제안된 시스템의 유용성을 증명하기 위해서 실제 100장의 텍스타일 영상에서의 감성을 인식하는데 사용했다. 그 결과 RDES와 WTDES를 사용했을 때 각각 71%와 90%의 인식률로, WTDES를 사용했을 때가 RDES를 사용했을 때보다 더 좋은 성능을 보였다. 데이터 추출방법에 따라 다소 차이가 있었지만 전체적으로 악 81%의 정확도를 보였다. 이러한 실험 결과는 제안된 방법이 감성인식 기반으로 텍스타일 데이터를 검색 할 수 있는 시스템 및 다양한 산업 분야에 응용 가능함을 보여주었다.