• Composites Research
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• v.35 no.5
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• pp.334-339
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• 2022

This study suggests the prediction algorithm for transverse permeability, represented the flow resistance during the manufacturing process of composite, of unidirectional continuous fiber reinforced plastics. The cross-sectional shape of representative volume element (RVE) is considered to reflect fiber arrangement. The equivalent length is used as a factor to express the change of resin flow according to fiber arrangement. The permeability prediction algorithm is created by grafting the Electro-Hydraulic analogy and validity is confirmed. The code for permeability prediction was composed by means of MATLAB and Python, flow analysis was performed by using FLUENT. The algorithm was verified as the permeability results obtained through Algorithm and numerical analysis were almost identical to each other, and the calculation time was reduced around 1/450 compared to the numerical analysis.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.215-222
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• 2022

This study summarizes the basic concepts of NFT art and analyzes trends in the domestic and international NFT market to provide a better understanding of the art form to suggest various ways to utilize the art in near future when social interests in technologies such as metaverse, block chain, and NFTs are continuously increasing. In addition, by examining the rapid development and process of blockchain technology in overseas markets, and confirming cases of information transfer to various metaverses such as cryptocurrency and NFT technology, the aim is to present a foothold for the future direction of national arts in general. To this end, in order to analyze consumers' perceptions and preferences, and to draw conclusions about current NFT arts at home and abroad, a survey was conducted on NFT awareness among participants of an art fair in Gwangjin-gu, Seoul. It is hoped that this study will become a cornerstone of research on NFT works and NFT art industry, which is becoming a global issue.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.253-260
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• 2022

Creativity, one of the core competencies of the 21st century, is required as an essential item for members of society. Emphasizes its ability in terms of personality that allows it to be used in the desired direction. However, creativity is considered to contribute to positive change in the organization, not only in creating new ideas or products, but also in adapting to a changing environment and solving problems. Accordingly, by reviewing previous studies, it was concluded that rewards can promote or hinder creativity, which may vary depending on the nature of rewards, the concept of creativity possessed by the researcher, individual differences, and external environment. We also proposed that rewards may influence creativity through motivational, cognitive, and synthetic functions. Based on the analysis, a specific model was proposed for the effect of reward on creativity. This study is based on existing research and analyzed various factors and mechanisms acting in the process of influencing creativity based on comparison of which extrinsic and intrinsic motivations have what kind of relationship. Next, it appears that rewards differ from person to person according to the way they are given in environmental circumstances. Finally, by rewarding various types of creative tasks, an active reward role can be secured.

• Journal of The Korean Association of Information Education
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• v.26 no.4
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• pp.273-284
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• 2022

The goal of this paper is to propose the use of machine learning platforms in education to train learners to recognize data biases. Learners can cultivate the ability to recognize when learners deal with AI data and systems when they want to prevent damage caused by data bias. Specifically, this paper presents a method of data bias education using MachineLearningforKids, focusing on the case of AI baseball referee. Learners take the steps of selecting a specific topic, reviewing prior research, inputting biased/unbiased data on a machine learning platform, composing test data, comparing the results of machine learning, and present implications. Learners can learn that AI data bias should be minimized and the impact of data collection and selection on society. This learning method has the significance of promoting the ease of problem-based self-directed learning, the possibility of combining with coding education, and the combination of humanities and social topics with artificial intelligence literacy.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.187-197
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• 2009

Visitors feel pleasure and delight with seeing and participation at the same time at theme park. Owing to participation characteristics of theme park, visitors are not able to satisfy their desire only with simple seeing, and influenced by the sense caused by participation and seeing. The study herein presumed that global attachment regarded as characteristic features determining individual relationship characteristics influences behavior and perception of visitors after visiting theme park, and speculated the process which attachment type of visitors influences to satisfaction and attitude. Moreover, in a point of view of 3 factors which form consumer attitude, recognition, feeling, behavioral desire, factors which enhances satisfaction and behavioral desire of visitors are organized and speculated. As a result of study herein, influence of stable attachment was not significant, while personal service and positive feeling shows importance.

• Journal of IKEEE
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• v.26 no.1
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• pp.62-66
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• 2022

Recently, there have been many research efforts based on data-based deep learning technologies to deal with the interference problem between heterogeneous wireless communication devices in unlicensed frequency bands. However, existing approaches are commonly based on the use of complex neural network models, which require high computational power, limiting their efficiency in resource-constrained network interfaces and Internet of Things (IoT) devices. In this study, we address the problem of classifying heterogeneous wireless technologies including Wi-Fi and ZigBee in unlicensed spectrum bands. We focus on a data-driven approach that employs a supervised-learning method that uses received signal strength indicator (RSSI) data to train Deep Convolutional Neural Networks (CNNs). We propose a simple measurement methodology for collecting RSSI training data which preserves temporal and spectral properties of the target signal. Real experimental results using an open-source 2.4 GHz wireless development platform Ubertooth show that the proposed sampling method maintains the same accuracy with only a 10% level of sampling data for the same neural network architecture.

• Communications of Mathematical Education
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• v.36 no.1
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• pp.59-72
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• 2022

The purpose of this study is to understand the characteristics of the mathematical modeling tasks and lesson designs developed by pre-service teachers based on the inherent awareness of mathematical modeling, considering the importance of creating a task to perform mathematical modeling activity and designing a lesson. As a result, the mathematical modeling tasks developed by pre-service teachers mainly presents an appropriate amount of information using real life contexts for the purpose of learning using concepts, and it showed a tendency to develop to the level of cognitive demand that required procedures with connections to understanding, meaning, or concepts. And most of the developed modeling task-based lessons showed a tendency to design warm-up activity, model-eliciting activity, and model-exploration activity. This result is due to the lack of experience of pre-service teachers in creating mathematical modeling tasks. Therefore, it is necessary to continuously provide opportunities for pre-service teachers to learn concepts or create mathematical modeling tasks intended for exploration according to various mathematical contents, thereby actively cultivating their ability to create modeling tasks in the course of training pre-service teachers. Furthermore, it is necessary to strengthen the expertise in mathematical modeling teaching and learning by providing opportunities to actually perform the mathematical modeling-based classes designed by pre-service teachers and to experience the process of reflecting on the lessons.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.2
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• pp.515-523
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• 2017

In the training field where literature is used as a tool, some excerpts from its text are used, instead of its full text. Therefore, it is necessary to have empirical guidelines for which part of the text should be used as Memory-Hint, a part that reminds its reader of certain memory, and for how the text can be introduced effectively. For the study, Hesse's whole life and his literary characters were examined from a therapeutic perspective. First, while Hesse's life was reviewed and his characters were analyzed, Hesse was recognized for Self-therapeutic Life. He also lived a life of multimedia in which he practiced writing, painting, playing musical instruments, meditation, walking, etc. Second, Contents of Literature Therapy using Hesse's works were applied to the schizophrenic patients. Media used for the clinical study were mostly extracted from Hesse's works. They began to show interest in others and express their empathy on others, in addition to expressing their sentimental empathy on Hesse's texts. How effectively Hesse utilized multimedia during his lifetime will be good literary resources in helping improving modern-day people's mental health and curing their pathological problems.

• Design Convergence Study
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• v.16 no.6
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• pp.137-152
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• 2017

This research aims to develop the companion robot experience design for elderly in korea based on needs-function deploy matrix of robot and emotion expression research of robot in multimodal interaction. First, Elder users' main needs were categorized into 4 groups based on ethnographic research. Second, the functional elements and physical actuators of robot were mapped to user needs in function- needs deploy matrix. The final UX design prototype was implemented with a robot type that has a verbal non-touch multi modal interface with emotional facial expression based on Ekman's Facial Action Coding System (FACS). The proposed robot prototype was validated through a user test session to analyze the influence of the robot interaction on the cognition and emotion of users by Story Recall Test and face emotion analysis software; Emotion API when the robot changes facial expression corresponds to the emotion of the delivered information by the robot and when the robot initiated interaction cycle voluntarily. The group with emotional robot showed a relatively high recall rate in the delayed recall test and In the facial expression analysis, the facial expression and the interaction initiation of the robot affected on emotion and preference of the elderly participants.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.4
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• pp.435-442
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• 2015

The purpose of this study is to examine the effect of mentoring program using logic model in university students. We surveyed 40 mentors who participated mentoring program in 2014. Data collection were open-ended questions. Questions was made of with a steps in logic model and content analysis was carried out. The results are as follows: first, according to the step of the inputs, many students questioned said that public relations, selection process, matching, orientations, activity costs was proper. Secondly, in the activities, it was showed that mentor met firstly mentee with teacher in school and mentoring activities comprised 80% of studying and 20% of counseling and experiencing. third, in the outputs, most of participants expressed satisfaction in mentoring period, time, place. Lastly, in the outcomes, this program affected both mentor and mentee with cognitive, emotional and behavior development. Consequentially, this results have influence on improvement of following mentoring programs.