• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.3-6
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• 1999

The study was performed to evaluate the sense of equilibrium by means of rotary chair system in middle school girls with dance learning. Control of equilibrium, which is the most important function in dancing, is maintained by vestibular, visual, and proprioceptive inputs. Experimental groups were divided into trained group with dance (experimental group, 13~14 ys, n=15) and untrained group (control group, 13~14 ys, n=15). experimental group was trained by programmed dancing for 12 weeks, 45 min/day and 5 day/week. Gain of eye movement was measured for vestibulocular reflex (VOR), visual vestibular stimulation (VVOR), optokinetic stimulation(OKN), and visual fixation (VFX). The gain of eye movement at higher than 0.08 hz was significant decrease in experimental group, and VVOR showed the similar fashion to VOR. The gain in OKN and VFX was not significant difference between experimental and control groups. These results suggest that programmed training of dancing improves control of balance by adaptation of the vestibular function, and rotary chair system would be useful to evaluate the sense of equilibrium ability.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.251-255
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• 1999

현대인의 활동범위가 넓어지고 작업의 양이 많아지면서, 육체적ㆍ정신적 피로를 해결할 수 있는 쾌적환경에 대한 관심이 높아지고 있다. 쾌적감이란 인간이 쉽게 동조하고 물입할 수 있어서, 인간과 환경이 일체가 되기 쉬운 상태로서 이에 대한 연구가 활발히 진행되어오고 있다. 본 논문은 수학적으로 표현하기 어려운 인간의 쾌적감 요소이미지와 물리적 환경 요소의 구조 분석에 신경망 이론을 적용한다. 인간감성 모델과 역인간감성모델을 제안하여, 지능제어 이론인 신경망(Neural Network)이 쾌적감 요소이미지와 물리적 환경 요소의 구조 분석에 유용하게 사용될 수 있음을 보인다.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.169-177
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• 2000

In general, the size of index set of the emotion-based control is smaller than that of the logic-based control. And thus, by using the concept of emotion we can control the behavior's patterns of multiple persons more softly from the global viewpoint. The principle just mentioned, we think, can be applied on fille general purpose system. In this paper we presented a n : n negotiation model in the deal based on emotional agent. Through the emotional layers of the agents we tried to show that the flexible control of the negotiation process is possible especially in case of dynamic environment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.147-153
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• 2014

In this paper, we propose smart emotional lighting control system based on the android platform. The proposed smart emotional lighting control system be configure android platform and sensibility lighting equipment, expansion device, zigbee module. Smart emotional lighting control system based on the android platform is automatic control possible using the illumination sensor, and by selecting the desired lighting partial control can be designed. The experimental results of the proposed smart emotional lighting control sensitivity than conventional lighting control system decreased the power consumption and efficient lighting control was possible. Office acts will be suitable conditions to control the color and brightness, so they can be controlled from the improves concentration and ability to work.

• 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.

• Cartoon and Animation Studies
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• s.39
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• pp.393-412
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• 2015

See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.43-55
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• 2009

The purpose of this study was to investigate the influences of environmental education program through educational theatre on student's environmental literacy of 5th graders in an elementary school in Seoul. The students were divided into an experimental group and a control group. Then, the experimental group had the emotion-centered environmental education program using educational theatre, and the control group had the regular education process, which is a general lecture about the environment. The SPSS 12.0 program was used to analyze the results. The major result of the study was as follows. First, the researcher was able to develop and apply professor-learning model for the environment education using the educational theatre by abstracting and recreating environment-related contents from the 5th grade curriculum. Second, the study has showed that applying the emotion-centered program using the education theatre for the environment education certainly contributes to the improvement of the environment knowledge of the elementary students. Third, the emotion-centered environment education program has influenced evenly on the elements of the environment knowledge divided by the four goal levels of the environment education. Finally, the higher the student's emotional quotient is, the more improvement of the environment knowledge the student gets when using the emotion-centered environment education program using the education theatre. In conclusion, the emotion-centered environment education program using the education theatre is a usable method to the elementary schools, and has a positive effect on increasing the environment knowledge of 5th grade students. In the time of requiring the diverse environment education methods, this program is worth to try as a new education method. Therefore, it is necessary to research more on the professor-learning activities related to this study.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.353-361
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• 2020

The aim of this study was to identify the factors related to clinical practice stress in nursing college students. The participants comprised 160 students in a nursing college. Data collection was conducted from December 1, 2019 to December 15, 2019. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and a multiple regression analysis. The average score for clinical practice stress was 3.19 out of a maximum of 5. clinical practice stress had a statistically significant relationship with self-esteem(r=.22, p=.005), nursing professionalism(r=-.26, p=.001) and cognitive emotion control strategy(r=.38, p<.001). The factors affecting clinical practice stress were maladaptive cognitive emotion control strategy(β=.46, p<.001), nursing professionalism(β=-.20, <.001), grade(β=.20, p=.002), motivation for nursing choice(β=-.15, p=.019); the explanatory power of the model was 35.5%. Therefore, in order to reduce the stress on clinical practice, it is necessary to develop a program that can lower the maladaptive cognitive emotion control strategy along with improving the nursing professionalism in stress situations.

• The Korean Journal of Emergency Medical Services
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• v.1 no.1
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• pp.100-111
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• 1997

This is the first Korea study to evaluate the effects od the safety of ambulance driving and the occurrence of ambulance traffic accidents and to provide basic informaion for the description of various factors to reduce the ambulance traffic accidents. The major insturment of this study were Krean Self-Analysis Driver Opinionnaire. Questionnaire contains 8 items which measure driver's opinions or attitudes : driving courtesy, emotion, traffic law, speed, vehicle conditions, the use of drugs, high-risk behaviors, and human factors. To take the analysis of data, the total of 350 divers were investigated ambulance divers and others in Taejon City and others (6 City) from 1996. 1. July to 1996. 31. July. The data were analyzed by the descriptive statistics and the logistic regression - path analysis - with SPSS and SAS package program. The result are as follows : 1. There was desirable attitude group(16.2%) and undesirable attitude group(17.6%) on safety ambulance driving. 2. It have suggested that risk factors of ambulance traffic accidents much affected with emotion and speed control on safety ambulance driving < Y(Accdient) = -2.64 + 0.57 $X_1$ (Emotion Control) + 0.30 $X_2$(Seed control) + E > and motor traffic acident much affected with emotion control and high-risk behavior on safety driving < Y(Accident) = -1.11 + 0.33 $X_1$(Emotion Control) + 0.29 $X_2$(High-risk Behvior) + E > 4. The primary emphassis of ambulance drivers was make us realized that improthatnt factors on safety ambulance driving were 1)making way for emergent ambulance, 2)driver's career, 3)The ability of emergency medical technics, and the knowledge or under standing of ambulance way difficut(or easy) of accdess. 5. Almost 96.6% of respondents have agreed to necessity of emergency medical technics for ambulance drivers. 6. Almost 94.6% of respondents have consented to necessity of emergtency medical technicians for ambulance driving. 7. It have suggested that the proportion of traffic accident proportion by desitable attitude group(16.7%) was much less than that of undesirable attitude group(30.8%) on safety ambulance driving(P < 0.05)/Ps) Accidents are unplanned, unforesen incidents which can lead to harmful or unfortunate outcomes, Collisons are not accidents, since the basic cause of the majority of collisons invovles high-risk human behavior. Although there are many factors which contribute to accident causation, four basic factors seem to predominate in most traffic related situations. These four factors include: the human factor, the vehicle factor, the environmental factors and destination factor(Peto G. et al. 1995).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.603-610
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• 2021

In this paper, we extract the user's power consumption patterns, and model the optimal consumption patterns by applying the user's environment and emotion. Based on the comparative analysis of these two patterns, we present an efficient power consumption method through changes in the user's power consumption behavior. To extract significant consumption patterns, vector standardization and binary data transformation methods are used, and learning about the ensemble's ensemble with k-means clustering is applied, and applying the support factor according to the value of k. The optimal power consumption pattern model is generated by applying forced and emotion-based control based on the learning results for ensemble aggregates with relatively low average consumption. Through experiments, we validate that it can be applied to a variety of windows through the number or size adjustment of clusters to enable forced and emotion-based control according to the user's intentions by identifying the correlation between the number of clusters and the consistency ratios.