• 인지과학
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• 제20권3호
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• pp.357-381
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• 2009

이전의 연구들이 외부 피드백 정보에 대한 반응민감도에 성격특성적 개인차가 반영된다는 사실을 밝힌바 있지만, 재인기억과 관련한 의사결정에서 이러한 기질 혹은 특성적 개인차가 어떻게 관여하는지는 아직 알려진 바가 없다. 본 연구는 재인기억 과제에서 피드백에 근거한 의사결정 준거의 순응적 변화정도와 피드백에 대한 일반적 반응민감도의 개인차간 관계를 살펴보았다. 통제 조건인 실험 1에서는 올바른 피드백 조건이 의사결정 준거의 유동성에 영향을 미치지 않음을 보인 반면 피드백 조작이 이루어진 실험 2에서는 확신도가 높은 오기억 반응에만 선택적으로 편향된 피드백이 주어졌음에도 전반적인 Old/New 반응 범주의 결정준거 또한 순응적으로 이동함이 나타났다. 보다 중요하게 이 피드백에 근거한 의사결정 준거 학습에 나타나는 개별 피험자들의 반응민감도 차이가 강화 추구 혹은 불안 회피와 밀접하게 관련된 안정적 성격(Behavioral Activation System-BAS 혹은Behavioral Inhibition System-BIS)의 개인차에 의해 유의미하게 예측될 수 있음이 나타났다. 이러한 결과는 그동안 외현적인 재인 기억 의사 결정에 있어서 중요하게 여기지 않았던 점증적 강화학습 기제가 결정 준거의 설정에 관여할 수 있음을 보여준다는 데에서 중요한 의미를 찾을 수 있다.

• Asia Marketing Journal
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• 제17권3호
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• pp.1-31
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• 2015

The present research examined the interesting but less attended effects of pride- and surprise-tagged money on consumers' spending decisions. Focusing on the unexpected money received in their daily life, we explored recipient's judgments and responses toward pride-tagged money versus surprise-tagged, and identified differences in types of recipient's consumption and spending behaviors between the pride- tagged money and the surprise-tagged money. Consumers tend to use the money associated with pride (vs. surprise) to reward their invested effort; as a result, they were more likely to buy a personal gift. Moreover, in the context of self-gift, consumers with pride-tagged money have showed a bigger positive difference between the intent to buy individual self-expressive products and the intent to buy social self-expressive products than those with surprise-tagged money. And the receipt of pride-tagged money activates motivation to express one's individual self. Consumers who have received a sum of extra money tend to add the money into the current spendable income account and broaden the array of product category. And consumers with high arousal level of surprise triggered by receiving a sum of unpredictable money because of good luck show a smaller difference between the intent to buy individual self-expressive product and the intent to buy social self-expressive product than those with low level arousal in pride. Therefore, marketers should advertise their products in the respects of individual self-expression when their customers have pride-tagged money, and should advertise their products in the respects of social self-identity when they have surprise-tagged money by winning a large sum of unpredicted money like lottery winning.

• 대한수학교육학회지:수학교육학연구
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• 제8권1호
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• pp.381-403
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• 1998

As a researcher engaged in the mathematical education, mathematics teachers are interested in instructional methods. While it is unlikely that the viewpoints of individual mathematics teachers are reflected in making decisions on instructional purposes and instructional contents, a good many parts of instructional methods on mathematical facts are decided by individual teachers. This means that the role of mathematics teachers is given much weight in the mathematical education. Therefore, the mathematics teachers must not be excluded in all parts of the study of mathematical education. We studied the instructional methods of function concept, a central topic in school mathematics from the following perspectives. First, we examined the characteristics of the three(correspondence-centered, middle, dependence centered) viewpoints about the essence of function concept. And we should that which of them should be the viewpoint of instruction of function concept in school mathematics. Second, we investigated the questions regarding the process of function instruction in school mathematics and presented alternative instruction methods of function concept to solve the questions. Third, we postulated the importance of polynomial function, relating college mathematics in order to present the reason why the polynomial function is importantly treated in functional instruction of school mathematics.

• 한국멀티미디어학회논문지
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• 제15권2호
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• pp.195-203
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• 2012

본 논문은 다중센서 영상을 이용한 결정 융합 기반의 지상 표적 분류 알고리즘 및 특징 추출 기법을 제안한다. 표적의 인식률 향상을 위하여 가중 투표 방법을 적용함으로써 개별 분류기로부터 획득된 결과를 융합하였다. 또한 개별 센서 영상 내에 속한 표적을 분류하기 위해 CCD 영상으로부터 획득한 CM 영상의 밝기 차이와 FLIR 영상 내 표적의 윤곽선 정보 및 차량과 포탑의 너비 비율을 이용하여 스케일과 회전변화에 강인한 특징들을 추출하였다. 마지막으로 실험을 통하여 본 논문에서 제안한 지상 표적 분류 알고리즘과 특징 추출 기법에 대한 성능을 검증한다.

• 지역사회간호학회지
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• 제30권4호
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• pp.494-507
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• 2019

Purpose: The purpose of this study is to provide a clear definition of the health literacy for patients with cardiovascular disease by analyzing the dimensions and properties using Hybrid concept analysis. Methods: The concept of health literacy of patients with cardiovascular disease was analyzed according to the cyclic process of theoretical phase-field work phase-final analysis phase presented in the Hybrid model. We reviewed 26 literatures and conducted in-depth interviews with 13 patients with cardiovascular disease. Results: The concept of health literacy in cardiovascular patients is derived from two dimensions and five attributes. Literacy skills, health information search ability and health information utilization skills were derived as attributes in the individual functional dimension, while active communication with the medical team and utilization of health information support resources were derived at the interrelational dimension. It is defined as the individualized and integrated ability of an individual to explore and utilize the various health information needed to make appropriate health decisions during the chronic course after diagnosis of cardiovascular disease, to communicate proactively with medical staffs and to utilize support resources. Conclusion: This study will contribute to the development and related research of health literacy measurement tools that can be used in cardiovascular nursing practice based on the attributes and indicators of health literacy for patients with cardiovascular disease.

• Journal of Information Processing Systems
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• 제14권5호
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• 공학교육연구
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• 제19권3호
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• pp.23-34
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• 2016

Teaching orientations represent teachers' general way of conceptualizing their teaching. The orientations are regarded as a very important factor in developing teachers' pedagogical content knowledge because they often guide their instructional decisions such as the selection of contents and teaching strategies, the use of curricula materials, and the evaluation of learning. Thus, understanding teachers' orientations can provide meaningful suggestions to understand their instructional approaches and furthermore to enhance the quality of engineering education in college. The research question for this present study was what kinds of teaching orientations engineering professors possessed in teaching engineering courses and how the orientations were represented in their teaching. Six engineering professors, particularly interested in instructional approaches, participated in the research. The data sources included in-depth interviews with individual professors, classroom observations with field notes, and related documents. In results, four teaching orientations toward engineering courses were identified: 1) expert knowledge in engineering, 2) engineering practice, 3) social practice, and 4) interdisciplinary design. Individual professors had between one to three different teaching orientations. Even though the professors had similar orientations but their instructional strategies somewhat varied based on the disciplines.

• 한국병원경영학회지
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• 제11권4호
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• pp.37-62
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• 2006

This study investigates the antecedents of knowledge sharing behavior focusing on the individual level factors in an assumption that the behavior is initiated from the individual level decisions. A hypothesis that the relation between personality trait and behavior is mediated by the social-cognitive constructs contained in the Theory of Planned Behavior(TPB) is tested. For the study, we suggest a TPB extended model that extends original TPB model by including conscientiousness facet of FFM(Five Factor Model). This study uses a cross-sectional design. Data were collected from a self-reported survey on 197 nurses in a tertiary hospital. The results showes a significant positive relationship between the conscientiousness facet of FFM and knowledge sharing behavior. In the TPB extended model, the conscientiousness facet has significant direct effects on all the constructs of original TPB model. Of the TPB exogenous constructs, the social norm construct alone has a significant effect on intention and the perceived behavioral has a direct significant effect on the knowledge sharing behavior. These results confirm the importance of conscientiousness in predicting knowledge sharing behavior and clarify the characteristics of knowledge sharing behavior as a contextual, job oriented behavior in a workplace. We conclude that personality trait as conceptualized in the FFM needs to be integrated into TPB model in explaining the knowledge sharing behavior. Based on these results theoretical and practical implications are discussed.

• 한국산학기술학회논문지
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• 제16권9호
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• pp.5850-5858
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• 2015

본 연구는 변혁적 리더십이 회원의 운동 몰입과 재구매 의도에 미치는 영향을 분석하였다. 수집한 설문지 275부를 이용한 결과는 다음과 같이 도출되었다. 첫째, 카리스마, 개인적 배려 및 지적자극은 인지 몰입과 행위 몰입에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 개인적 배려만이 재구매 의도에 긍정적인 영향을 미치는 것으로 나타났다. 셋째, 인지 몰입은 재구매 의도에 긍정적인 영향을 미치는 것으로 나타났으나, 행위 몰입은 유의한 영향이 미치지 않는 것으로 나타났다. 마지막으로 지도자의 변혁적 리더십, 운동 몰입 및 재구매 의도 간의 간접효과는 없는 것으로 나타났다. 이러한 결과는 지도자에게 고객들의 운동 몰입을 높이기 위한 이해를 돕는데 가치가 있으며, 마케터에게는 조직의 목표를 달성하기 위해 전략적인 계획을 세우는 데 도움이 될 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.394-399
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• 2002

In this paper, Multisource data classification methods based on Bayesian formula are considered. For this decision fusion scheme, the individual data sources are handled separately by statistical classification algorithms and then Bayesian fusion method is applied to integrate from the available data sources. This method includes the combination of each expert decisions where the weights of the individual experts represent the reliability of the sources. The reliability measure used in the statistical approach is common to all pixels in previous work. In this experiment, the weight factors have been assigned to have different value for all pixels in order to improve the integrated classification accuracies. Although most implementations of Bayesian classification approaches assume fixed a priori probabilities, we have used adaptive a priori probabilities by iteratively calculating the local a priori probabilities so as to maximize the posteriori probabilities. The effectiveness of the proposed method is at first demonstrated on simulations with artificial and evaluated in terms of real-world data sets. As a result, we have shown that Bayesian statistical fusion scheme performs well on multispectral data classification.