• 한국노년학
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• v.25 no.2
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• pp.211-227
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• 2005

The purpose of this study was to investigate the characteristics of emotional life across the life span and to examine the affective optimization theory emphasized positive aspect of aging. Three age groups(young group N=238. middle group N=495, old group N=283) were participated in this study. As a result, there were no age differences between the old and the middle group in the frequency of positive emotion experiences, but the old group experience more negative emotions than the middle group. However, generally they experienced positive emotions more often than negative emotions. Also, there were age differences in choosing social goals. The older group took the goals that related to emotional regulation and personal relationship more important than the goals related to learn something new or approve their ability. Interestingly, there were no age differences among three age groups in subjective well-being even though there existed differences in experiences of frequency of positive and negative emotions. Finally, the importance of role of the affective optimization in subjective well-being and adaptation in later life was discussed.

• 한국노년학
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• v.37 no.1
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• pp.201-219
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• 2017

This study was performed to test the socioemotional selectivity theory (SST) with Korean adults. According to SST, perceiving their life as limited, people are motivated to enhance their mood by regulating their mood in such a way to maximize the positive emotions and weaken the negative ones. Being founded on the dialectical constructs which assume the positive and negative sides of emotional experience coexist, Korean adults were supposed to be less motivated to maximize positive emotions and weaken negative emotions. Thus the elderly koreans might regulate emotions not in the direction of maximizing the positive emotions and weakening the negative ones, but in the direction of not being highly aroused. 166 youth, middle-aged, and elderly were asked to rate the frequencies of 31 positive and negative emotions they had experienced during the last month. In addition, they were asked to judge whether they weaken / adapt / maximize their emotions after experiencing positive and negative events. The elderly experienced less positive emotions as well as negative emotions than youth. Youth experienced emotions of high arousal more often than those of low arousal, but the elderly experienced emotions of high arousal less often. The responses of weakening their negative emotions and their positive emotions were largest in the elderly group. On the other hand, the response of maximizing their positive emotions were largest in the youth group. These results show that the elderly maintains emotional stability by weakening both positive and negative emotions of high arousal.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.395-400
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• 2011

In this paper, we propose an study of the facial emotion recognition considering the dynamical variation of emotional state in facial image sequences. The proposed system consists of two main step: facial image based emotional feature extraction and emotional state classification/recognition. At first, we propose a method for extracting and analyzing the emotional feature region using a combination of Active Shape Model (ASM) and Facial Action Units (FAUs). And then, it is proposed that emotional state classification and recognition method based on Hidden Markov Model (HMM) type of dynamic Bayesian network. Also, we adopt a Harmony Search (HS) algorithm based heuristic optimization procedure in a parameter learning of HMM in order to classify the emotional state more accurately. By using all these methods, we construct the emotion recognition system based on variations of the dynamic facial image sequence and make an attempt at improvement of the recognition performance.

• 한국노년학
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• v.29 no.2
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• pp.729-742
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• 2009

The purpose of this study was to examine the changes of emotion experiences in old age and confirm the effects of emotional characteristics on the subjective well-being in old age by the longitudinal study. This longitudinal study started from 2003 and every two year we performed panel study. We analysed the data from old participants who participated tree-times(2003, 2005, 2007)and over 65 year-old. Finally, 844 old participants(male, 340; female, 504)' data were analysed. The elderly experienced more positive emotions than negatives and these results represented affective optimization. We performed mixed ANOVA method and confirmed significant change of emotion experiences during 6 years. Positive emotion experiences and negative emotion experiences were decreased as they get older. We also examined the effects of emotional experiences on the subjective well-being. In results, emotion experiences were more effective than the demographic variables for maintaining subjective well-being in old age. Decreasing negative emotion experiences and increasing positive emotion experiences can keep happy life up in old age. The importance of the quality of emotional life in old age and the necessity of longitudinal study of aging were discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1715-1717
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• 2015

최근 의학 및 게임 분야에서 뉴로 피드백에 관한 연구들이 활발하다. 뉴로 피드백이란 뇌의 전기적 활동을 뜻하는EEG(Electroencephalogram)을 대상으로 하는 바이오피드백(biofeedback) 시스템의 일종이다. 좌 우뇌의 불균형은 불안과 우울 등의 정서적 장애를 초래한다. 본 논문에서는 좌, 우뇌 활성도를 대칭적으로 향상시켜 뇌기능의 최적화를 위한 시스템을 제안하며 뇌파를 분석하여 정서 상태 파악 후 규칙적 훈련을 통한 우울, 불안 등의 정서적 문제를 개선하는 뉴로 피드백 시스템 개발에 대한 결과를 보고한다. 실험을 통한 시스템의 검증으로 3주간 진행한 훈련 결과를 비교하였으며 그 증가율을 살펴보았다. 1주차와 3주차의 데이터를 비교해본 결과 평균적으로 26.18%의 증가율을 보였고 좌, 우뇌의 활성도의 대칭이 향상된 것을 알 수 있었다.

• Polymer Science and Technology
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• v.15 no.4
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• pp.396-401
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• 2004

약물전달시스템 (DDS, drug delivery system)이란 기존 약물의 부작용을 최소화하고 약물이 가지고 있는 효능 및 효과를 최적화시켜 질병치유에 필요한 최소의 약물을 효과적으로 전달하기 위한 제형으로 정의될 수 있다. DDS 분야는 저비용과 짧은 개발기간으로 기존 약물의 새로운 제형개발을 가능하게 함으로써 차세대 바이오산업의 핵심으로 인식되고 있다.(중략)

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.1-7
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• 2019

With the in-depth development of machine learning, the deep learning method has made great progress, especially with the Convolution Neural Network(CNN). Compared with traditional text sentiment classification methods, deep learning based CNNs have made great progress in text classification and processing of complex multi-label and multi-classification experiments. However, there are also problems with the neural network for text sentiment classification. In this paper, we propose a fusion model based on Long-Short Term Memory networks(LSTM) and CNN deep learning methods, and applied to multi-category news datasets, and achieved good results. Experiments show that the fusion model based on deep learning has greatly improved the precision and accuracy of text sentiment classification. This method will become an important way to optimize the model and improve the performance of the model.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.215-215
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• 2012

사회는 우리의 예상보다 빠르게 혹은 느리게 발전할 수 있고, 정부의 법령이나 규정은 때때로 수정되며, 대중의 선호도나 정서 등도 시시각각 변화한다. 이러한 불확실하고 변화가 많은 환경하에서 수자원기술자들은 시스템의 구축에 있어서 종종 딜레마에 직면하게 된다. 즉, 언제(when), 얼마만한(how big) 규모의 시스템을 구축해야 불투명한 미래에 충분히 대비할 수 있을까란 의문이 바로 그것이다. 시스템의 계획단계(planning stage)에서 시스템과 관련된 여러 가지 불확실성을 고려할 수 있는 가장 강력하면서 또한 직감적인 방법은 바로 여러 가지 미래에 대한 가상 시나리오(scenario)를 구성하여 그것에 대비하는 방법이다. 최근 들어 시나리오에 기반한 시스템 플래닝 기법이 수자원분야에서 주목을 받고 있다. 미래에 발생 가능한 여러 가지 시나리오를 고려하여 구축된 시스템은 그 자체로 유연성을 발휘하여 미래에 발생할 수 있는 (예측에 어긋난) 다양한 변화에도 큰 사회적인 혼란 없이 최소의 추가비용만으로도 본래의 역할을 수행해 나갈 수 있다. 본 연구에서는 최적화 기법을 시나리오 플래닝 기법 (scenario planning technique)과 접목하여 분산형 용수공급 시스템(decentralized water supply system)의 최적설계에 적용하였다. 대상지역은 미국의 대표적인 준사막지역의 하나인 애리조나주에 위치한 투산시의 통합 물공급시스템으로 향후 20년을 대비한 시스템의 최적화에 본 연구에서 제안된 기법을 적용하여, 그 결과를 정리하였다.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.591-601
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• 2017

The purpose of this study was to investigate the relationship between psychomotorik and brain function in domestic and foreign literature, and to clarify the mechanism of psychomotorik from the viewpoint of brain science, and to provide the teachers, therapists, The purpose of this study is to provide basic data which can enhance the understanding of the mechanism of psychomotorik. From the viewpoint of brain science, the study of domestic and foreign literature related to the mechanism of psychomotorik and the positive learning environment and various physical experiences in early life through the movement of psychomotorik are very important from the brain physiological point of view. The results of this study showed that the more the children move, the more the learning is improved and the healthy emotional control ability is improved and the brain is more likely to be optimized. Therefore, it is considered that this study, which has been studied through the brain science approach, provided very important basic information to understand the relation between movement of psychomotorik and brain function. In particular, understanding the possibility of optimizing the brain by cultivating a healthy emotional control ability and improving learning as children move more and more is considered to be a necessary process for educating our children well in the future. Until now, research on psychomotorik and brain function was lacking. Through this study, I hope that more people will have an opportunity to expand their understanding of the psychomotorik.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.651-653
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• 2011

본 논문에서는 모바일 노드들의 움직임이 심한 MANET 환경에서의 데이터의 전송을 안정적이고 신뢰성있게 하기 위한 방법을 제시하고자 한다. 우회경로가 적은 경우보다 우회경로가 많이 확보되었을 때 상호간의 통신이 더욱 안정적이나, 기존 연구에서는 이러한 고려가 충분히 되어있지 않고, 경로 설정 당시 알고리즘에 의해 최적화된 경로라고 판단된 경로만 기억해 놓기때문에 경로 손실이 되었을 때에 우회경로가 존재 함에도 불구하고 패킷 전송을 실패하게 된다. 본 논문에서는 확률에 기반한 안정도를 측정하고 MANET 환경에서 패킷전달 가능성이 높은 다중경로 라우팅 프로토콜 아이디어를 제시한다.