• 대한간호학회지
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• 제50권2호
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• pp.210-227
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• 2020

Purpose: This study aimed to develop a scale to measure variables related to alcohol drinking prevention behavior in early elementary school, based on the theory of planned behavior. Methods: A scale was developed to measure variables related to alcohol drinking prevention behavior. Initial items for direct evaluation were constructed through a literature review, and those for belief-based indirect measure were generated through interviews with 30 second- and third-grade elementary school students. The collected data from 286 third-grade elementary school students were then subjected to item analysis, exploratory and confirmative factor analysis, criterion-related validity testing, and internal consistency assessment. Results: The final scale consisted of 35 items. Intention, attitudes, subjective norms, and perceived behavioral control explained 82.7% of the variance; behavioral beliefs, normative beliefs, and control beliefs explained 65.6% of the variance; and evaluation of outcome, motivation to comply, and power of control beliefs explained 72.8% of the variance. The confirmatory factor analysis indicated that the theoretical models had a satisfactory goodness of fit. Criterion-related validity was confirmed between the direct evaluation variables and the indirect measure variables (attitudes r=.64, p<.001; subjective norms r=.39, p<.001; perceived behavioral control r=.62, p<.001). Cronbach's α was .89 for the direct evaluation variables and .93 for the indirect measure variables. Conclusion: The scale developed in this study is valid and reliable. It could be used to measure and explain variables related to alcohol drinking prevention behavior in early elementary school.

• 감성과학
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• 제15권1호
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• pp.87-96
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• 2012

본 논문에서는 사용자의 감성적 요구에 적합한 이미지를 탐색한 후 문-스펜서(P. Moon&D. E. Spencer)의 색채 조화론에 기초하여 조화의 정도가 가장 높은 이미지들을 순위별로 제시하는 이미지 검색법을 제안하였다. 이미지 검색은 키워드로 주어진 감성어휘와 관련된 색채성분이 가장 많이 포함된 이미지 화상을 검색하여 미도(Aesthetic Measure)를 계산한 후 순위별로 제시하는 방법으로 이루어진다. 문-스펜서의 색채 조화론을 적용한 이미지 검색법의 타당성을 검증하기 위하여 200개의 샘플 이미지를 대상으로 시스템이 제시한 미도순위와 사용자 만족도 평가에 의한 순위를 비교하였다. 분석결과 15개의 감성어휘별로 시스템이 출력한 이미지들의 미도 순위에 대한 실험 참가자들의 평균 만족도는 7점 척도 중 5.0으로 나타났다. 또한 시스템이 산출한 이미지들의 미도 순위와 설문 참가자가 평가한 만족도 순위 사이와의 일치 여부를 알아보기 위해 상관분석을 실시한 결과 감성어휘 'Clear'를 제외한 14개의 어휘 모두에서 상관계수 0.5 이상의 양호한 정적상관을 보였다. 이와 같은 연구결과로부터 문-스펜서의 색채 조화론을 바탕으로 제안한 감성검색법이 이미지 데이터베이스와 같은 시각자극의 검색에 있어서도 사용자의 감성을 적절히 반영할 수 있는 가능성을 확인하였다.

• ETRI Journal
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• 제18권1호
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• pp.29-41
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• 1996

This paper describes a method to select a suitable feature for speech recognition using information theoretic measure. Conventional speech recognition systems heuristically choose a portion of frequency components, cepstrum, mel-cepstrum, energy, and their time differences of speech waveforms as their speech features. However, these systems never have good performance if the selected features are not suitable for speech recognition. Since the recognition rate is the only performance measure of speech recognition system, it is hard to judge how suitable the selected feature is. To solve this problem, it is essential to analyze the feature itself, and measure how good the feature itself is. Good speech features should contain all of the class-related information and as small amount of the class-irrelevant variation as possible. In this paper, we suggest a method to measure the class-related information and the amount of the class-irrelevant variation based on the Shannon's information theory. Using this method, we compare the mel-scaled FFT, cepstrum, mel-cepstrum, and wavelet features of the TIMIT speech data. The result shows that, among these features, the mel-scaled FFT is the best feature for speech recognition based on the proposed measure.

• 산업기술연구
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• 제3권
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• pp.39-46
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• 1983

This paper presents a quantitative measure of the degree of part commonality and redundancy in a product line based on entropy measure of information theory. The several possible methods of analysis are discussed and the use of the entropy measure is discussed. These commonality and redundancy measure can be applied to analyze the usage pattern of part across a product line and to determine which parts have the broadest usage across the firm's product lines. An analysis of the results by entropy statistics is compared with the practical part usage in a simulation of several types of part usage's distributions.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제3권1호
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• pp.37-42
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• 2014

연관 규칙들을 이용한 분류학습은 최근 활발히 연구되는 분야의 하나이다. 이러한 연관 규칙을 이용한 분류에는 연관 규칙들에 대한 수치적 중요도를 계산하는 것이 중요하다. 본 논문에서는 정보 이론을 사용한 H measure 라는 새로운 규칙 중요도 기법을 제안한다. 구체적으로 Hellinger 변량을 이용하여 연관규칙의 중요도를 계산한다. 제안된 H measure 의 다양한 특성들을 분석하였으며 또한 이러한 H measure를 이용한 분류학습의 성능을 다른 규칙 measure를 이용한 분류학습의 성능과 비교하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.686-689
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• 2004

As the demands of X-Y linear motors increase, it becomes very important to measure flatness errors and to compensate them. In this study, in order to investigate flatness errors, a laser interferometer is used for measurement. To improve the measurement efficiency, a Union Jack method is adopted instead of a square method. The square method is frequently used because of its accuracy, but it requires many measurement points. In this study, the Union Jack method with Grey Theory is used. By using the Grey Theory, unmeasured data are predicted, and these are compared with results of the square method. The results show that the Union Jack method with Grey Theory is accurate enough to replace the square method.

• 한국조경학회지
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• 제25권1호
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• pp.135-142
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• 1997

The objectives of this study was to test applicability of the theory of planned behavior by Ajzen & Driver(1992), to predicting summer vacation activity participation. Vacations to vist Sock-Cho City in summer were asked to complete a questionaire to measure attitudes, subjective norms, perceived behavioral control, and intentions in relation to participating in three vacation activities, at the beach, at the valley, and at the pool. After summer vacation, respondents were called to answer whether or not they had participated in those activities. The results showed that attitudes toward vocation consist of affective and instrumental component Consistent with the theory, attitudes, subjective norms and perceived behavioral control were significant variables in predicting intentions to participate in vacation activites. In addition, intentions and perceived control were influential in predicting vacation activities partication. Althouh the objectives of the study were achived, this application of the theory of planned behavior to Koreans summer vacation participations did not show the same power as the Ajzen & Driver's study(1992) in predicting recreation activties participation. It would be desirable for future research to apply the theory of planned behavior to various recreational settings.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1148-1153
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• 2004

This paper presents the mechanism to increase lateral stability of a mobile robot using an energy stability margin theory. Previous measure of stability used in a wheeled mobile robot has been based on a static stability margin. However, the static stability margin is independent of the height of the robot and does not provide sufficient measure for the amount of stability when the terrain is not a horizontal plane. In this work, the energy stability margin theory, which is dependent on robot's height is used to develop a 2 dof mechanism to increase lateral stability. This proposed mechanism shifts the center of gravity of the robot to the point where the energy stability margin is maximized and overall stability of the robot equipped with this mechanism will be increased.

• 대한전기학회논문지:전력기술부문A
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• 제48권6호
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• pp.665-670
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• 1999

This paper introduces a fuzzy expert systems for fault diagnosis, where the causal relationships between faults and protective devices are defined as fuzzy relations. The uncertainties existing in the fault diagnosis are figured out using the possibility theory and the possibility measure is associated with the fuzzy relation to evaluate the possibilities of faults. Besides, the knowledge base in the expert system is described and explained. In this way, multiple-fault can be handled easily and simultaneously together with single faults.

• Asia pacific journal of information systems
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• 제14권2호
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• pp.21-36
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• 2004

Since IT industry has changed very rapidly in technology, market environments, the cyber communities raise new social space. In spite of such growth of cyber communities, academic discussion is relatively limited. This Paper suggested several factors that affect the level of participator's loyalty on cyber communities. Participator's loyalty was classified into two categories, the psychological loyalty, which measure the psychological responses, and the behavior loyalty, which measure the absorption of time, the volume and frequency of visit to cyber communities. Consequently, this research has showed social awareness about cyber community culture and suggested the strategy directions for customer-oriented cyber Community Company.