• Journal of Korea Multimedia Society
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• v.16 no.7
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• pp.888-896
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• 2013

The existing interface study has been focused on rhetorical metaphor based on a cognitive viewpoint in traditional objectivism. But the existing study viewpoint about the interface shows logical limitation by the changes in media environment. This study suggests conceptual metaphor based on embodied cognition for an alternative to solve the limitation, and research logical suitability of the existing interface environment. The result of this study is as follow; The first, the embodied cognitive viewpoint provides the interface as a space for holistic recognition communication, and the conceptual metaphor based on embodied cognition provides a well-structured metaphor logic and is a suitable metaphor to explain complicated metaphor structure. The second, the container image schema provides concrete and detailed metaphor structure than previous metaphor when it comes to explaining desktop metaphor by offering subsidiary image schema from 'IN-OUT-BOUNDARY' image schema. The third, path image schema is possible to make a concrete logic and works off the laxity and confusion of logical structure in existing metaphor by offering subsidiary image schema from 'SOURCE-PATH-GOAL' image schema. The conceptual metaphor based on embodied cognition is expected to be a basic theory to explain interfaces for various media environment by thinking of human physical experience as container and path image schema.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.4
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• pp.21-26
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• 2011

Feature ranking is useful to gain knowledge of data and identify relevant features. In this study, we proposed a use of feature ranking for classification of neuro-degeneration and vascular dementia in micro-Raman spectra of platelet. The entire region of the spectrum is divided into local region including several peaks, followed by Gaussian curve fitting method in the region to be modeled. Local minima select from the subregion and then remove the background based on the position by using interpolation method. After preprocessing steps, significant features were selected by feature ranking method to improve the classification accuracy and the computational complexity of classification system. PCA (principal component analysis) transform the selected features and the overall features that is used classification with the number of principal components. These were classified as MAP (maximum a posteriori) and it compared with classification result using overall features. In all experiments, the computational complexity of the classification system was remarkably reduced and the classification accuracy was partially increased. Particularly, the proposed method increased the classification accuracy in the experiment classifying the Parkinson's disease and normal with the average 1.7 %. From the result, it confirmed that proposed method could be efficiently used in the classification system of the neuro-degenerative disease and vascular dementia of platelet.

• Journal of The Korean Association For Science Education
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• v.41 no.2
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• pp.71-82
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• 2021

Learning efficiency can be maximized by careful matching of text features to expected reader features (i.e., linguistic and cognitive abilities, and background knowledge). The present study aims to explore whether this systematic principle is reflected in the development of science textbooks. The current study examined science textbook texts on 20 measures provided by Auto-Kohesion, a Korean language analysis tool. In addition to surface-level features (basic counts, word-related measures, syntactic complexity measures) which have been commonly used in previous text analysis studies, the present study included cohesion-related features as well (noun overlap ratios, connectives, pronouns). The main findings demonstrate that the surface measures (e.g., word and sentence length, word frequency) overall increased in complexity with grade levels, whereas the majority of the other measures, particularly cohesion-related measures, did not systematically vary across grade levels. The current results suggest that students of lower grades are expected to experience learning difficulties and lowered motivation due to the challenging texts. Textbooks are also not likely to be suitable for students of higher grades to develop the ability to process difficulty level texts required for higher education. The current study suggests that various text-related features including cohesion-related measures need to be carefully considered in the process of textbook development.

• Science of Emotion and Sensibility
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• v.6 no.3
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• pp.73-87
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• 2003

This research extends a general theory of human cognition to an applied domain of piloting skills. We examined how fast and accurately pilots achieve and maintain situation awareness in flight by measuring their consistency judgment between a written statement describing a flight situation and a cockpit display showing a current state of an aircraft. The goal of this research is to determine whether situation awareness is influenced by expertise level as a Auction of two different kinds of flight situation variables. It was revealed that flight situation variables representing relations between flight elements had an effect on situation awareness. Working memory was found to play a critical role in integrating a variety of flight information form multiple sources. It was also revealed that flight situation variables representing the contents of flight elements had influence on situation awareness in flight. These results were explained in a theoretical framework of a construction-integration model to reveal the cognitive processes underlying situation awareness in flight.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.55-65
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• 2008

The strategic decision makers of the firm have faced with uncertainty and complexity. Although they must make decision under these environments, they can't have enough time, man power, budget and knowledge that they need to decide. They can't, therefore, help getting supports by experts who have implicit knowledge about the domain. But it is difficult for them to find any other procedures and methods to create, transform, combine, and apply new knowledges, whenever decision makers face the problem This paper provides a new method to support a strategic decision making by using the knowledge transformation process suggested by Nonaka. We illustrate an application case of the strategic decision making in consulting industry. This paper uses cognitive map as a decision support technology based on the suggested method.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.649-659
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• 2023

Smart work, which utilizes ICT technology to work without time and space constraints, has been difficult to introduce and spread despite a lot of research and investment based on the 'smart work vitalization strategy' that began in 2010. Although the environment of COVID-19 in 2019 was an opportunity to promote the adoption of smart work. After that, many companies ended or reduced the adoption of smart work again. This study was initiated to examine the factors that resist the introduction of smart work based on the innovation resistance model and to suggest alternatives. As a result of this study, relative advantage showed a strong effect on both introduction resistance and introduction intention. However, it was confirmed that perceived risk and complexity did not directly negatively affect introduction intentions, but had a negative effect on introduction intentions through mediating resistance to introduction. Through the results of this study, it was confirmed that if the practical benefits of smart work were emphasized and negative attitudes were reduced, the resistance to introduction would be lowered and the intention to introduce it would be positively affected.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.5A
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• pp.391-400
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• 2009

Recently, cellular communication networks are migrating from 2G to 3G. Spectrum utilization tends to be inefficient during the transition. Cognitive radio (CR) technology can be a key solution to increase spectrum efficiency by allowing secondary networks to utilize frequency resource of primary networks. However, conventional CR approaches which do not utilize the frequency reuse factor of primary networks may incur degradation of whole network performance. In this paper, we propose a mechanism that a secondary network senses pilot signals of a primary network and select optimum frequency bands. In order to maximize whole network performance, we formulate an optimization problem subject to interference constraints for a primary network and present algorithms. Simulation results compare the proposed method with the conventional method. Our proposed method shows performance gain over the conventional method if channel variation of a primary network is dynamic and the frequency reuse factor of a primary network is high.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.901-904
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• 2014

As sensing techniques have advanced, context-aware technologies have been developed under the various domain for each different purpose. The number of services were created and are being used actually, but the services for specific spatial domain are not adequate yet. To solve this, there have been many efforts, and some of them were actually successful. Among them, the methods which used ontology-based inference were relatively reliable and appropriate for context-aware system, but not able to support contexts for individual without complex rules. In this paper, current scope of context inference is extended from user-oriented context modeling to entity-oriented. Furthermore, we used user profile and home profile to provide more specific context information of not only each individual but entity.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.430-439
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• 2020

Purpose: As the frequency of impact typhoons increases and the form of damage becomes more complicated, the need for information to help disaster response workers recognize the typhoon situation in advance is growing. In this study, Definitions and implementation measures for information utilized at each stage of the task were proposed in carrying out typhoon response tasks that occur every year. Method: In 2019, the government classified information that was used for each step of work and conducted analysis on necessary information for the situation. Based on the analyzed information, typhoon status information was established through an opinion survey by central and local government officer. Result: The task of typhoon situations was the most important part of monitoring weather conditions and sharing damage situations, and the information utilized was analyzed to require information derived through the convergence of historical and situation information. Conclusion: As the correlation between work and information between the response departments increases as the typhoon situation progresses, information about typhoon situation should be applied to the actual typhoon situation in the future to enhance information and establish a related system.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.145-153
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• 2019

The present study is a discussion in which the flow of 'social and cultural values' inherent in the creative advertising story is considered against Bart's symbolism and the creative symbol system, and attempted to reproduce the work through the cognitive thinking of the inmates. The interaction of correct social and cultural communication is not just a strategy for persuasion and effectiveness. Starting with these issues, I thought that experiencing the 'symbolic production' and 'cognition interpretation' of the most creative, aesthetic and implicit advertising stories was the realization of concrete cultural values. The reason why I pay attention to advertising as a target tool of the original school is that it gives anyone access to the social and cultural values based on the productivity of meaning, the sharing of meaning and social small-call work by paying attention to the most implicit symbols in a short period of time. I also think that with the trend of the times, it is well worth it as a tool of positive communication for social and cultural member harmony and solving future problems. The reality of social and cultural advertising stories conducted in conjunction with the analysis of meaning at the cognitive thought level is very appropriate to apply in creative classes for college students. The Dong-A Ilbo is a discussion that suggested that the work of realizing the cognitive meaning of advertising stories, a "symbol complex" based on creativity in a complex, multi-media era, will become an age-old communication tool to join university students' strategies for solving future problems