• Journal of Digital Convergence
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• v.11 no.9
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• pp.319-324
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• 2013

The old man has different characteristics than those which have ages. To experience a variety of different environments and has tendencies because. Therefore, all the old uniform to the progress of art therapy is not possible and when you feel the need for self-treatment is effective participation hayeoyaman looks. Art therapy through the medium of art to express the inner feelings that are kept on the image of the elderly because of the feelings that naturally help revealing, emotion plays a role in mitigating the crisis. Art therapy in the treatment of non-verbal means of means of self-defense, so receives less control is reduced. In addition, the opportunity to use art media sensation itself reduced stimulation of the elderly a sense of the way so you are valued as a very useful educational program.

• Korean Journal of Cognitive Science
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• v.11 no.1
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• pp.33-45
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• 2000

The present study examined the usability of the web site design, focusing on the cognitive characteristics of the WWW. Specifically, we conducted two major non-experimental usability testing methods on the domestic web sites with various purposes. In research I. we used an on-line questionnaire method on 12 domestic web sites. As a result. several critical usability features and factors were identified. In research 2. we carried out a heuristic evaluation method to identify more specific usability problems The result of research 2 suggests that the heuristic evaluation method reveals more specific problems of the web site design than the questionnaire method.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.51-58
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• 2021

Microservices are not only developed independently, but can also be run and deployed independently, ensuring more flexible scaling and efficient collaboration in a cloud computing environment. This impact has led to a surge in migrating to microservices-oriented application environments in recent years. In order to introduce microservices, the problem of identifying microservice units in a single application built with a single architecture must first be solved. In this paper, we propose an algorithm-based approach to identify microservices from legacy systems. A graph is generated using the meta-information of the legacy code, and a microservice candidate is extracted by applying a clustering algorithm. Modularization quality is evaluated using metrics for the extracted microservice candidates. In addition, in order to validate the proposed method, candidate services are derived using codes of open software that are widely used for benchmarking, and the level of modularity is evaluated using metrics. It can be identified as a smaller unit of microservice, and as a result, the module quality has improved.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.935-949
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• 2014

Today, companies are facing business environments that are changing rapidly compared to the business environments of the past. These rapid changes can be observed in areas such as technology and market structure. To compete in rapidly changing business environments, companies are consistently releasing new innovative products to meet consumers' satisfaction. However, compared to the products that have already been successful in the past, innovative products have higher uncertainty in terms of meeting consumer's technical and emotional needs. Therefore, marketers of the companies put lots of efforts to reduce the risks of new innovative products' failure. In this study, we conducted 2(process simulation / outcome simulation) ${\times}2$ (hedonic / utilitarian) experiment to analyze the effect of mental simulation and product type on innovative new product evaluation. The results of this study are following. In process simulation, evaluation of utilitarian innovative new product was higher, but hedonic innovation showed higher evaluation in the outcome simulation. Based on research result, we recommend proper application of mental simulation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.243-253
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• 2012

An opinion mining technique which was developed from document classification in area of data mining now becomes a common interest in domestic as well as international industries. The core of opinion mining is to decide precisely whether an opinion document is a positive or negative one. Although many related approaches have been previously proposed, a classification accuracy was not satisfiable enough to applying them in practical applications. A opinion documents written in Korean are not easy to determine a polarity automatically because they often include various and ungrammatical words in expressing subjective opinions. Proposed in this paper is a new approach of classification of opinion documents, which considers only a frequency of word patterns and excludes the grammatical factors as much as possible. In proposed method, we express a document into a bag of words and then apply a learning algorithm using a frequency of word patterns, and finally decide the polarity of the document using a score function. Additionally, we also present the experiment results for evaluating the accuracy of the proposed method.

• Sleep Medicine and Psychophysiology
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• v.1 no.2
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• pp.163-171
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• 1994

Objectives: Symptoms of sleep apnea consisted of insomnia, excessive sleepiness during daytime, impaired cognitive functions and emotional disturbances. It was not so well known how these symptoms are correlated with various parameters of sleep and respiration, and what kind of psychophysiological processes are involved in development of these symptoms. Methods: In sixty patients with sleep apnea, sleep and respiration were studied by polysomnography of one night, also symptoms of sleep apnea were evaluated with the scales of insomnia, daytime sleepiness, emotional disturbance and cognitive impairment We studied correlations between apnea symptoms, and various parameters of sleep and respiration such as sleep efficiency, number severity of apnea, $O_2$ desaturation and number of snoring. Results: The result showing significant correlations are as follows. The patients with better sleep in insomnia scale showed more number of apnea, particularly more central type, and much more snoring in stage 3 sleep and mild desaturation of $O_2$. Excessive sleepiness during daytime correlated significantly with stage 1 sleep and its snoring, but correlated negatively with stage 2 sleep. However, no significant correlation was found with degree of $O_2$ desaturation. Emotional disturbance was more apparent in the patients with severe $O_2$ desaturation and smaller amounts of stage 4 sleep. Cognitive function was more impaired in cases of more REM sleep and less apnea. Conclusions: Symptoms of sleep apnea may occur through different causes and processes. The evaluation of apnea symptoms may be helpful to understand in some degree the condition of sleep and respiration during sleep in clinical setting.

• Journal of Ethics
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• no.82
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• pp.73-125
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• 2011

This article aims to search for moral educational implication of J. D. Greene's recent neuro-scientific approaches to deontological ethics. Recently new technique in neuroscience such as fMRI is applied to moral and social psychological concepts or terms, and 'affective primacy' and 'automaticity' principles are highlighted as basic concepts of the new paradigm. When these principles are introduced to ethical theories, it makes rooms of new and different interpretations of them. J. D. Greene et al. claim that deontological moral judgments or theories are just a kind of post hoc rationalization for intuitions or emotions by ways of neuroscientific findings and evolutionary interpretation. For example, Kant's categorical imperative in which a maxim should be universalizable to be as a principle, might be a product of moral intuition. Firstly this article tries to search for intellectual backgrounds of the social intuitionalism where Greens' thought originates. Secondly, this article tries to collect and summarize his arguments about moral dilemma responses, personal-impersonal dilemma catergorizing hypothesis, fMRI data interpretations by ways of evolutionary theory, cultural and social psychological theories, application to deontological and consequential theories, and his suggestion that deontological ethics shoud be rejected as a normative ethical thought and consequentialism be a promising theory etc. Thirdly, this tries to analyse and critically exam those aspects and argumentation, especially from viewpoints of the ethicists whose various strategies seek to defeat Greene's claims. Fourthly, this article criticizes that his arguments make a few critical mistakes in methodology and data interpretation. Last, this article seeks to find its implications for moral education in korea, in which in spite of incomplete argumentation of his neuroscientific approach to morality, neuroethics needs to be introduced as a new approach and educational content, and critical materials as well.

• The Journal of the Acoustical Society of Korea
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• v.17 no.6
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• pp.67-73
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• 1998

쾌적한 음환경을 창조하기 위해서는 무엇보다도 음이 갖는 심리적 속성과 인지구조 를 파악하는 것이 중요하다. 이 연구는 여러 가지 환경음중에서 유쾌음에 대한 심리적 속성, 그리고 그 속성과 음과의 관계를 정성적으로 파악하는데 목적을 두고 있다. 특히, 음에 대한 감정 및 정서표현에 사회문화적 차이가 있다는 점을 감안하여 한국어 표현어를 심층적으로 조사·분석하고, 36종류의 표현어와 34종류의 유쾌음에 대해서 평정척도법을 이용한 심리평 가 실험을 실시하였다. 실험의 분석결과, 유쾌음의 심리적 속성은 활동성, 안정성, 박력성의 3가지 요인이 중요한 요인으로 밝혀졌다. 또한, 음과 표현어사이의 관계를 파악하기 위해 다 차원척도법을 이용한 선호도분석에 의해서 3가지 요인과 음과의 관계를 파악해 보았다. 이 결과는 유쾌음에 대한 평가시 중요한 심리적 속성으로서, 음의 물리적 평가방법 및 음환경 의 쾌적성 창조를 위한 중요한 실마리를 제공해 줄 수 있을 것이다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.224-226
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• 2012

최근 스마트폰의 대중화와 더불어 스마트폰 애플리케이션의 공급과 수요 또한 활성화 되고 있다. 이에 스마트폰의 애플리케이션 시장 또한 활성화 되었다. 하지만 기하급수적으로 증가한 애플리케이션에 사용자가 자신에게 적합한 애플리케이션을 선택하기가 용이하지 않다. 이에 본 논문에서는 사용자 개인 정보와 감정을 이용한 애플리케이션 추천 시스템을 제안한다. 사용자 정보와 감정을 k-means 알고리즘을 이용하여 군집화를 시켜주었으며 사용자가 평가한 애플리케이션에 대한 만족도를 이용하여 유사도를 검출 및 추천하기 위하여 피어슨 상관계수와 교차추천을 이용하였다. 또한 협업 필터링의 신규 사용자에 대한 초기 평가치 부재에 의한 콜드 스타트(cold-start) 문제를 해결하기 위해 신규 사용자의 개인정보와 감성정보를 활용하여 기존 사용자와의 유사도를 비교한다. 이웃사용자를 추출하고 이웃사용자로부터 추천을 받는다. 즉, 추천시스템 데이터베이스 내의 정보가 충분한 사용자에게는 협업필터링을 그렇지 않은 신규 사용자에게는 협업필터링 대신 제시한 방법을 적용하는 하이브리드 추천 방법을 제안하였다.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.10
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• pp.776-780
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• 2009

As smartphones appear as suitable devices to implement ubiquitous computing recently, there are many researchers who study about personalized Intelligent services in smartphones. An intelligent synthetic character is one of them. This paper proposes a method generating behaviors of an intelligent synthetic character. In order to generate more natural behaviors for the character, the Bayesian networks are exploited to infer the user's states and OCC model is utilized to create the character's emotion. After inferring the contexts, the behaviors are generated through the behavior selection networks with using the information. A usability test verifies the usefulness of the proposed method.