• Title/Summary/Keyword: 부정감정

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The relationship between EEG prefrontal asymmetry and emotion following exercise deprivation in people with exercise addiction (운동박탈에 따른 운동중독자의 정서적 변화에 대한 뇌 생리심리적 접근: EEG 대뇌반구비대칭활성화 차이지표 적용 연구)

  • Kim, Sung-Woon;Kim, Han-Cheol
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.521-534
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    • 2016
  • This study examined the neurophysiological mechanisms of exercise deprivation by investigating differences in emotion changes and EEG prefrontal asymmetry in relation with exercise. Twenty male undergraduate university students in the 23-27 age range, amateur marathon runners, were selected as the participants (n=20) and divided into one of two experimental conditions at random: (1) exercise deprivation group (n=10), and (2) non-exercise deprivation group (n=10). PANAS-X measurement and EEG measurement from F3 and F4 scalp sites were performed at pre-test, 3 days after exercise deprivation, and 5 days after exercise deprivation. Results revealed that participants of EDG significantly decreased a positive effect after exercise deprivation on EEG and self-reported measures, and showed an increased negative effect after exercise deprivation on self-reported measures. In contrast, participants of NEDG significantly increased positive feelings after exercise and showed a decreased negative effect after exercise on EEG and self-reported measures. Our results showed that exercise deprivation increasing negative emotion after exercise deprivation. The findings of this study suggest that EEG frontal brain asymmetry can be used as diagnosing method for exercise deprivation.

Exploratory study on the Moral Injury among Female North Korean Refugees: Qualitative Content Analysis of Qualitative Studies on Female North Korean Refugees (탈북여성들이 경험하는 도덕적 손상에 관한 탐색적 연구: 탈북여성을 대상으로 한 질적 선행연구물 내용분석)

  • Shim, Woochan;Lee, Soon Min
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.636-652
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    • 2018
  • This study is about applying the concept of moral injury in reinterpreting and understanding the experience of female North Korean refugees who have experienced psychological trauma and are struggling with adjusting in their everyday lives. The database KISS and DBpia were used to search for academic peer-reviewed articles published before August 13th in 2017, using 'female or women North Korean,' 'female or women relocated North Korean,' and 'female or women North Korean defector' as keywords. In total 51 studies were finally selected for content analysis and the result were the following. First, listing from the most often occurring study topic to the least occurring topic in order: post-defection adjustment related, mothering experience, experience of North Korean regime and Korean War, work or job or employment related, recovering from psychological trauma as well as growth and resilience related, experiences in China, trauma and psychological difficulties, anxiety treatment process and effects. Second, words related to psychological aspect of moral injury appeared 260 times in 51 selected studies, changes in the existential belief appeared 82 times, cognitive aspects of moral injury appeared 71 times, and behavioral aspects 21 times. Third, two main contexts emerged to be the antecedent that led to moral injury and they were 'identity denial' and 'dismantled family.' In attempts to find opposite cases or stories where aspects of moral injury were not found despite the existence of its antecedents and it was 'identity restructuring.' Based on the finding, practice implications that could help female North Korean refugees prevent or recover from moral injury were suggested.

Streptococcus thermophilus K-1 및 Lactobacillus acidophilus LB12 균주에 있어 최대 Exopolysaccharide 생산에 영향을 미치는 물리적 원인 규명을 위한 연구

  • 강현미;엄양섭;정충일
    • Proceedings of the Korean Society of Food Hygiene and Safety Conference
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    • 1999.10a
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    • pp.119-119
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    • 1999
  • EPS를 생성하는 Str. thermophilus K-1 및 Lb. acidophilus LB12를 10% 환원 탈지유에 배양하고, EPS 생산을 위한 배지로는 Elliker broth를 사용하여 20, 25 및 $37^{\circ}C$에서 72시간까지 저장하면서 12시간 간격으로 시료를 꺼내어 EPS생산량, 생균수, 산도 및 점도 등을 측정하여 EPS생산과 이들 물리저 요인들과의 상호관계를 조사하였다. Str. thermophilus K-1의 경우, $20^{\circ}C,\;37^{\circ}C$에 저장한 시료의 EPS 생산량은저장 60시간에 각각 0.358, 0.386O.D.로 최대를 나타내었으며, 저장 72시간에는 다소 감소하는 것으로 나타났다. $25^{\circ}C$에 저장한 시료는 저장 36시간부터 O.D. 0.313으로 급속히 증가하여 72시간까지 그 수준을 거의 유지하는 것으로 나타났다. Lb. acidophilus CH-2의 경우에는 25, $37^{\circ}C$에서는 EPS생산이 서서히 증가하다가, 36, 48시간에 0.775, 0.833O.D.로 각각 최대를 나타낸 후에 다시 서서히 감소하는 것으로 나타났으며, 저장 $20^{\circ}C$에서는 저장 60시간에 1.123O.D.로 EPS생산이 최대에 도달한 후 저장 72시간에는 다시 감소하는 것으로 나타났다. 이 두균주의 세 가지 배양 온도에서 EPS가 최대를 나타내는 시점은 생균수가 감소하는 시점과 일치하므로, 균주 및 배양온도에 상관없이 균성장 말기 또는 균사멸기 초기에 EPS가 가장 많이 생산됨을 알 수 있었다. 또한 점도 및 산도는 저장 온도가 높을수록, 그리고 저장 기간이 길어질수록 대체로 많이 생성되는 것으로 나타났으며, EPS생산과의 유의성도 상당히 높은 것으로 나타났다. 것들이 부딛힘이 없이 공존하고 일상의 논리가 무시된다. 부정, 의심이 없고 확실한 것이 없다. 한 대상에 가졌던 생각이 다른 대상에 옮겨간다(displacement). 한 대상이 여러 대상이 갖고 있는 의미를 함축하고 있다(condensation). 시각적인 순서가 무시된다. 마음속의 생각과 외부의 실제적인 일을 구분하지 못한다. 시간 상의 순서가 있다가 없다가 한다. 차례로 일어나야 할 일이 동시에 한꺼번에 일어난다. 대상들이 서로 비슷해지고 동시에 있을 수 없는 대상들이 함께 나타난다. 사고의 정상적인 구조가 와해된다. Matte-Blance는 무의식에서는 여러 독립된 대상들간의 구분을 없애며, 주체와 객체를 하나로 보려는 대칭화(symmetrization)의 경향이 있기 때문에 이런 변화가 생긴다고 하였다. 또 대칭화가 진행되면 무한대의 느낌을 갖게 되어, 전지(moniscience), 전능(omnipotence), 무력감(impotence), 이상화(idealization)가 나타난다. 그러나 무의식에 대칭화만 있는 것은 아니며, 의식의 사고양식인 비대칭도 어느 정도 나타나며, 대칭화의 정도에 따라, 대상들이 잘 구분되어 있는 단계, 의식수준의 감정단계, 집단 내에서의 대칭화 단계, 집단간에서의 대칭화 단계, 구분이 없어지는 단계로 구분하였다.systems. We believe that this taxonomy is a significant contribution because it adds clarity, completeness, and "global perspective" to workflow architectural discussions. The vocabulary suggested here includes workflow levels and aspects, allowing very different architectures to be discussed,

Constructing an Evaluation Set for Korean Sentiment Analysis Systems Incorporating the Category and the Strength of Sentiment (감성 강도를 고려한 감성 분석 평가집합 구축)

  • Kim, Do-Yeon;Wu, Yong;Park, Hyuk-Ro
    • The Journal of the Korea Contents Association
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    • v.12 no.11
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    • pp.30-38
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    • 2012
  • Sentiment analysis is concerned with extracting and analyzing different kinds of user sentiment expressed in a variety of social media such as blog and twitter. Although sentiment analysis techniques are actively studied for these days, evaluation sets are not developed yet for Korean sentiment analysis. In this paper, we constructed an evaluation set for Korean sentiment analysis. To evaluate sentiment analysis systems more throughly, each sentence in our evaluation set is tagged with the polarity of the sentiment as well as the category and the strength of the sentiment. We divide kinds of sentiment into 7 positive categories and 15 negative categories. Each category is given the strength of the sentiment from 1 to 3. Our evaluation set consists of 3,270 sentences extracted from various social media. For each sentence, 5 human taggers assigned the category and the strength of the sentiment expressed in the sentence. The ratio of inter-taggers agreement was 93% in the polarity, 70% in the category, 58% in the strength of sentiment. The ratio of inter-taggers agreement our evaluation set is a bit higher than other evaluation sets developed for German and Spanish. This result shows our evaluation set can be used as a reliable resource for the evaluation of sentiment analysis systems.

Reliability Analysis of VOC Data for Opinion Mining (오피니언 마이닝을 위한 VOC 데이타의 신뢰성 분석)

  • Kim, Dongwon;Yu, Song Jin
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.217-245
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    • 2016
  • The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

A Study on Design Characteristics of Korean War Memorials in the United States (한국전쟁 메모리얼의 설계요소에 나타난 기념성)

  • Lee, Sang-Suk
    • Journal of the Korean Institute of Landscape Architecture
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    • v.38 no.1
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    • pp.12-24
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    • 2010
  • The purpose of this study was to analyze design characteristics of Korean War Memorials(KWM) in the United States(KWMUS). Through site survey and internet searching, the researcher selected 25 KWMUS and analyzed four analysis categories: design concept, spatial form, landscape details, and sculptures. The results are as follows: 1. The analysis revealed that main concepts of KWMUS were to cherish victims of the Korean War, show membership/locality/patriotism, express feelings and the meaning of war, and explain the Korean War realistically and symbolically. 2. Most KWMUS in memorial parks and plazas were designed to pursue the completion of each memorial assuming the form of typical and symmetrical circles and squares. Also, spatial order including spatial sequence was seen in some of KWMUS. 3. Stone walls, stone monument, flags, emblems and paving were used as main landscape details. The map of the Korean peninsula and Taegeuk were often introduced to symbolize Korea and the Korean War, and the symbolic phrase, 'Forgotten War' or 'Freedom is Not Free' were written on the stone to keep the Korean War in the minds of Americans. 4. Sculptures were used as important media to represent the Korean War in a variety of ways. Most of them were formed realistically, except for a few sculptures that aimed to represent the Korean War symbolically and narratively. In particular, the sculptures in Washington D.C. KWVM and Minnesota KWM were remarkable as symbolic media of war memorials in contemporary society. Further study will be required to analyze comparatively KWM in Korea and the U.S. and to understand characteristics of KWM in the point of design style.

정성적 시뮬레이션에 의한 화력발전소 보일러 프로세스의 고장진단

  • 김응석;오영일;변승현
    • Proceedings of the Korea Society for Simulation Conference
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    • 1999.10a
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    • pp.169-169
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    • 1999
  • 최근 산업 플랜트의 공정제어 시스템은 복잡하고 대규모화되어 고장 발생시 경제적 손실과 위험성이 증폭되어 규정된 안정서와 신뢰성 확보가 필수적이라 할 수 있다. 고장검출 및 진단기법은 시스템의 신뢰성을 높이기 위한 효과적인 방안을 연구하는 것으로 현대에 들어서 많은 학자들의 관심을 끌고 있으며 실제 계통에 점차적으로 응용되고 있다. 현재까지 개발된 고장검출 및 진단기법은 사용된 프로세스 모델의 형태, 고장검출 진단 알고리즘에 따라 다양하게 분류 될 수 있으며 일반적으로 사용된 모델에 따라 크게 1) 정량적 모델에 근거한 해석적 기법, 2) 정성적 모델에 근거한 기법, 3) 지식기반 진단 기법으로 구분 할 수 있다. 이중 정량적 모델 기법은 대상계통의 수학적 모델에 근거하여 운전 데이터를 분석함으로서 고장검출 진단을 수행하는 해석적 기법으로서 근본적으로 계통의 정확한 수학적 모델을 요구하므로 불확실성을 포함한 계통 및 비선형성이 강한 계통등에는 적용이 곤란하다. 정성적 모델 및 지식기반 기법은 정량적 진단 기법과는 달리 대상 프로세스에 대한 수학적 모델 대신에 운전자의 경험과 프로세스 변수간의 상호 작용 및 고장의 전파과정, 고장원인과 증상과의 직접적인 관계에 대한 구조적 지식에 근거한 것으로 고장원인에 대한 계통의 동작을 추론 할 수 있으며, 상황 변화에 따른 영향을 예측할 수 있다. 본 논문에서는 정성적 모델 및 지식기반 기법에 근거한 고장검출 및 진단 기술을 화력 발전소 보일로 프로세스에 적용하여 정성적 시뮬레이션에 의한 설비의 고장을 조기에 발견하여 고장 파급으로 인한 발전 정지 및 설비의 손상 확대를 방지하고 고장 발생시 신속한 원인 규명 및 후속 조치관련 정보들을 운전원에게 제공할 목적으로 현재 전력원에서 개발중인 지능형 경보시스템에 대하여 기술하고자 한다.음과 같이 설명하였다. 서로 상반되는 것들이 다음과 같이 설명하였다. 서로 상반되는 것들이 부딛힘이 없이 공존하고 일상의 논리가 무시된다. 부정, 의심이 없고 확실한 것이 없다. 한 대상에 가졌던 생각이 다른 대상에 옮겨간다(displacement). 한 대상이 여러 대상이 갖고 있는 의미를 함축하고 있다(condensation). 시각적인 순서가 무시된다. 마음속의 생각과 외부의 실제적인 일을 구분하지 못한다. 시간 상의 순서가 있다가 없다가 한다. 차례로 일어나야 할 일이 동시에 한꺼번에 일어난다. 대상들이 서로 비슷해지고 동시에 있을 수 없는 대상들이 함께 나타난다. 사고의 정상적인 구조가 와해된다. Matte-Blance는 무의식에서는 여러 독립된 대상들간의 구분을 없애며, 주체와 객체를 하나로 보려는 대칭화(symmetrization)의 경향이 있기 때문에 이런 변화가 생긴다고 하였다. 또 대칭화가 진행되면 무한대의 느낌을 갖게 되어, 전지(moniscience), 전능(omnipotence), 무력감(impotence), 이상화(idealization)가 나타난다. 그러나 무의식에 대칭화만 있는 것은 아니며, 의식의 사고양식인 비대칭도 어느 정도 나타나며, 대칭화의 정도에 따라, 대상들이 잘 구분되어 있는 단계, 의식수준의 감정단계, 집단 내에서의 대칭화 단계, 집단간에서의 대칭화 단계, 구분이 없어지는 단계로 구분하였다.systems. We believe that this taxonomy is a significant contribution because it adds clarity, completeness, and "global perspective" to workflow architectural discussions. The vocabulary suggested here

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Text-Mining Analysis on the Interaction between the American Consumers Aged over 60 and Companion Pets Robots: Focused on Amazon Reviews for Joy For All Companion Pets (텍스트 마이닝을 활용한 미국 노년 소비자와 애완용 로봇 간 상호작용에 대한 분석: Joy For All Companion Pets에 대한 아마존 리뷰를 중심으로)

  • Chung, Yea-Eun;Lee, Yu Lim;Chung, Jae-Eun
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.469-489
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    • 2021
  • This study explores consumers' responses to socially assistive robotics by using text-mining method focusing on Companion Pets from Hasbro as it gives emotional support. We conducted text frequency analysis, LDA analysis using R programming. The key findings are 1)the most frequently used words the mimicry of living pets and the appearance of companion pets, 2)the five topics were derived from the LDA analysis and classified keywords in each topic split between positive and negative, 3)user, product, environment affect the interaction between consumer and companion pets, 4)consumers who have difficulty in cognition and physical conditions use companion pets to replace living pets. This study provides an understanding of consumer responses in companion pets and gives practical implications that may improve the efficacy of usage for consumers and understand the companion robot, which provides emotional support in COVID-19.

Effects of Positive Psychology-Based Music Therapy on Family Members' Attitudes Towards Gambling Addicts (긍정심리기반 음악치료가 도박중독자에 대한 가족구성원의 태도에 미치는 영향)

  • Yoon, Hyae-Young;Seo, Sang-Beom;Park, Ji-Yeon
    • Journal of the Korea Convergence Society
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    • v.10 no.6
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    • pp.269-279
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    • 2019
  • The purpose of this study was to investigate if a positive psychological-based music therapy program for gambling addicts' families, causes explicit or implicit attitude change towards gambling addicts. The study focused on families with gambling addicts, who use counseling centers for gambling addiction, or participate in GAM-ANON (GA). The experimental group (n=11) participated in 8 sessions of a positive psychology-based group music therapy program, and the control group (n=8) participated in 8 sessions of personal counseling, or GA family gatherings. To confirm treatment effectiveness, the attitude towards the family relationship, was measured by the explicit (Family Relation Scale) and Implicit Association Task (IAT) methods. Additionally, change in emotions including and anger (PANAS, HBDIS), was measured. Results of the study showed that positive emotions increased significantly, in the positive psychotherapy-based music therapy group compared, to the control group. However, in the treatment group with implicit attitudes, the rate of association of negative words with families accelerated significantly, suggesting that gambling addicts' families may have higher negative emotions. For the future, we discussed the necessity of providing a treatment program, that can directly lead to changes in attitudes of family members of gambling addicts.

Exploring Feature Selection Methods for Effective Emotion Mining (효과적 이모션마이닝을 위한 속성선택 방법에 관한 연구)

  • Eo, Kyun Sun;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.107-117
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    • 2019
  • In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.