• 셀메드
• /
• 제8권2호
• /
• pp.9.1-9.3
• /
• 2018

The purpose of this article is to discuss that ajaeng sanjo music playing (ASMP) can change a person's life. Ajaeng is often called a Korean cello and is the largest and lowest-pitched instrument in the string instrument family in Korean music. From far away it has a deep, low sound. Its low sound adds to its comfort and peace. Listening to a low tone music can help you calm down and heart-easing. As soon as he listened ajaeng sanjo music he felt that low sound is mildly under his patronage. He felt much more interesting energy and vitality about our minds and bodies are in ajaeng sanjo music. He could immerse himself in playing ajaeng sanjo music (ASMP) for several years. The Korean music, tune is one of expression, meaning it is inseparable from the feeling. Many studies show that low tone music not only activates brain power, but soothes minds. Music always stood by him during difficult times. In a word, ASMP leads him to change of life and music is the language of emotion to him.

• 디지털콘텐츠학회 논문지
• /
• 제18권1호
• /
• pp.217-224
• /
• 2017

최근에 카오스 이론을 사회과학의 한 분야의 사랑 모델에 적용하고자 하는 노력을 지속하고 있다. 로미오와 줄리엣으로 표현하는 미분 방정식에서 카오스 거동을 만들기 위해서 외력을 인가한다. 그러나 이 외력은 사람의 감정을 정확하게 표현하지 못하는 단점을 가진다. 본 논문에서는 이러한 단점을 해결하기 위하여, 로미오와 줄리엣의 사랑모델에서 외력을 사람의 말이나 행동에 가장 유사한 형태로 제공하기 위해 퍼지 소속 함수를 도입하고 이를 삼각 퍼지 소속 함수를 제시하였다. 또한 제시된 퍼지 소속 함수를 가진 로미오와 줄리엣의 사랑모델에서 카오스 거동을 확인하기 위하여, 시계열과 위상공간을 이용하였으며 이를 통하여 카오스 거동의 존재를 확인한다.

• 성인간호학회지
• /
• 제22권3호
• /
• pp.329-341
• /
• 2010

Purpose: The purpose of this study was to understand the meaning of death experienced by medical and nursing students through end-of-life care practice. Methods: Data were collected by in-depth interviews with twelve (six nursing and six medical) students. Conventional qualitative content analysis was used to analyze the data. Results: This findings were analyzed in three areas: 'feeling from the word of death', 'color association of death', and 'relation between life and death'. Results were three major themes and sixteen categories from the analysis. Three major themes include 'reality of uncertain death', 'have to leave, and 'new perception about death'. Sixteen categories include 'being well', 'fear', 'unknown', 'boundless', 'being with', 'out of sight', 'new start', 'go back to', 'place going by itself', 'place to meet with', 'being transformed', 'a sense of futility', 'the same point', 'a different point', 'continuous line', and 'a crossroad'. Conclusion: The findings suggest a number of themes that nursing and medical students reported about the end of life experiences that could be explored as a way of improving end of life care.

• 한국환경과학회지
• /
• 제27권9호
• /
• pp.789-796
• /
• 2018

This study aims to measure the emotional effects of pet plants, which have become popular in recent years. A questionnaire regarding perceptions of these indoor plants was administered to 78 university students. Thirty of these students took care of two species of pet plants for 90 days, and the emotional effects of this exercise were determined based on the type of words used in their daily records. The questionnaire results showed that the general recognition of emotional effects was low, though awareness of the term "pet plants" was high. However, after gardening for 90 days, participants began to consider their pet plants friends or family members, noting feelings of affection and sympathy in their daily writeups. These participants also experienced positive changes in their emotional well-being, including feelings of joy, hope, relaxation, confidence, and accomplishment. This study argues that pet plants can have positive effects on emotional stability and suggests that their adoption would be beneficial to humanity at large.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권10호
• /
• pp.865-874
• /
• 2020

In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제6권1호
• /
• pp.27-32
• /
• 2006

Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.

• 한국지능시스템학회논문지
• /
• 제20권5호
• /
• pp.683-687
• /
• 2010

본 논문에서는 인간의 감정 변화에 강인한 음성 인식 시스템을 구현하기 위하여 음성 변환 방법 중의 한가지인 주파수 와핑 방법을 사용한 연구를 수행하였다. 이러한 목표를 위하여 다양한 감정이 포함된 음성 데이터베이스를 사용하여 감정의 변화에 따라 음성의 스펙트럼이 변화한다는 것과 이러한 변화는 음성 인식 시스템의 성능을 저하시키는 원인 중의 하나임을 관찰하였다. 본 논문에서는 이러한 음성의 변화를 감소시키는 방법으로 주파수 와핑을 학습 과정에 사용하는 방법을 제안하여 감정 변화에 강인한 음성 인식 시스템을 구현하였고 성도 길이 정규화 방법을 사용한 방법과 성능을 비교하였다. HMM을 사용한 단독음 인식 실험에서 제안된 학습 방법은 사용하면 감정이 포함된 데이터에 대한 인식 오차가 기존 방법보다 감소되었다.

• 한국중재학회지:중재연구
• /
• 제31권1호
• /
• pp.173-194
• /
• 2021

This study was conducted to investigate the effect of the factors of delivery app service failure on consumption well conflict emotion and complaining behavior targeting consumers with experience using delivery apps, and the results of the study are summarized as follows. First, when looking at the demographic analysis, the proportion of men was 58.1% and women were 41.9%, and the age group was the highest with 91.9% in their 20s. Second, as a result of testing hypothesis 1 that the factor of delivery app service failure will have a significant influence on consumer conflict emotions, failure to provide app information and failure to deliver/food service showed a significant positive (+) relationship. Third, as a result of the verification of Hypothesis 2, that consumer conflict emotions will have a significant effect on the consumer's continued use intention, it was found to be insignificant and rejected. Lastly, hypothesis 3 that consumer conflict emotions will have a significant effect on consumer complaints behavior is that negative word of mouth behavior, complaint behavior from service providers, and complaint behavior from service managers were adopted, but the complaint behavior was rejected by third parties.

• 아태비즈니스연구
• /
• 제14권4호
• /
• pp.37-48
• /
• 2023

Purpose - This study aims to explore the influence of emotional discrepancies among investors on the cryptocurrency market. It focuses on how varying emotions affect market dynamics such as volatility and trading volume in the context of Bitcoin trading. Design/methodology/approach - This study involves analyzing data from Bitcointalk.org, consisting of 57,963 posts and 2,215,776 responses from November 22, 2009, to December 31, 2022. Tools used include the Linguistic Inquiry and Word Count (LIWC) software for classifying emotional content and the Python Pattern library for sentiment analysis. Findings - The results show that heterogeneous emotional feedback, whether positive or negative, significantly influences Bitcoin's intraday volatility, skewness, and trading volume. These findings are more pronounced when the underlying emotion in the feedback is amplified. Research implications or Originality - This study underscores the significance of emotional factors in financial decision-making, especially within the realm of social media. It suggests that investors and market strategists should consider the emotional landscape of online forums when making investment choices or formulating market strategies. The research also paves the way for future studies regarding the behavioral impact of emotions on the cryptocurrency market.

• 지능정보연구
• /
• 제19권4호
• /
• pp.81-96
• /
• 2013

웹의 발전과 콘텐츠 산업의 팽창으로 비디오 데이터가 폭발적으로 증가함에 따라 데이터의 정보 검색은 매우 중요한 문제가 되었다. 그동안 비디오 데이터의 정보 검색과 브라우징을 위해 비디오의 프레임(frame)이나 숏(shot)으로부터 색채(color)와 질감(texture), 모양(shape)과 같은 시각적 특징(features)들을 추출하여 비디오의 내용을 표현하고 유사도를 측정하는 내용 기반(content-based)방식의 비디오 분석이 주를 이루었다. 영화는 하위 레벨의 시청각적 정보와 상위 레벨의 스토리 정보를 포함하고 있다. 저차원의 시각적 특징을 통해 내용을 표현하는 내용 기반 분석을 영화에 적용할 경우 내용 기반 분석과 인간이 인지하는 영화의 내용 사이에는 의미적 격차(semantic gap)가 발생한다. 왜냐하면 영화의 스토리는 시간의 진행에 따라 그 내용이 변하고, 관점에 따라 주관적 해석이 가능한 고차원의 의미정보이기 때문이다. 따라서 스토리 차원의 정보 검색을 위해서는 스토리를 모델링하는 정형화된 모형이 필요하다. 최근 들어 소셜 네트워크 개념을 활용한 스토리 기반의 비디오 분석 방법들이 등장하고 있다. 그러나 영화 속 등장인물들의 소셜 네트워크를 통해 스토리를 표현하는 이 방법들은 몇 가지 문제점들을 드러내고 있다. 첫째, 등장인물들의 관계에만 초점이 맞추어져 있으며, 스토리 진행에 따른 등장인물들의 관계 변화를 역동적으로 표현하지 못한다. 둘째, 등장인물의 정체성과 심리상태를 보여주는 감정(emotion)과 같은 심층적 정보를 간과하고 있다. 셋째, 등장인물 이외에 스토리를 구성하는 사건과 배경에 대한 정보들을 반영하지 못하고 있다. 따라서 본 연구는 기존의 스토리 기반의 비디오 분석 방법들의 한계를 살펴보고, 문제 해결을 위해 문학 이론에서 제시하고 있는 서사 구조에 근거하여 스토리 모델링에 필요한 요소들을 인물, 배경, 사건의 세 가지 측면에서 제시하고자 한다.