• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.141-152
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• 2023

The scale of the authenticity perceived by the athletes of the domestic business team was developed. Through this, it is intended to accumulate information and authenticity research on human resource management of unemployment teams. The authenticity scale was developed through a total of 6 steps by referring to previous studies on the scale development process at domestic and international. In the first stage, the basic composition was confirmed through the review of previous studies.In the second stage, preliminary questions were drawn through in-depth interviews with 13 players belonging to the business team. In the third stage, the authenticity attribute and structure were confirmed through an expert meeting. In the fourth stage, the appropriateness of the items was verified through exploratory factor analysis and reliability analysis of 248 people. In the 5th stage, 288 subjects were tested for construct validity, convergent validity, and discriminant validity through confirmatory factor analysis, correlation analysis, and reliability analysis. The sixth step was to verify the relationship through regression analysis with the performance variables to examine the applicability and predictability of the developed scale. Through the above procedures, 4 dimensions of organizational authenticity and 18 measurement items were developed, and 3 dimensions of leader authenticity and 18 measurement items were developed.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.26-47
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• 2023

In the age of digital media transformation, the rapid rise of social media has changed the paradigm of traditional marketing techniques by leveraging the influence of influencers. However, the influence of influencers cannot be freed from ethical issues that arise as individuals, so virtual influencers are emerging as a countermeasure. This study is a study on how to increase the influencer effect of virtual models with a focus on the MZ generation in medical service. This study investigated whether respondents in their 40s or younger were aware of 'Rosy', a virtual influencer, and then conducted a survey on those who recognized 'Rosy'. As a result of this study, first, both cognitive and emotional motivation had a positive influence on fanship and attractiveness for virtual influencer. In addition, it was found that there was a difference in follow motive according to gender. Second, in order to lead to the intention of visiting hospitals, which is the medical service industry, only the cognitive motives with useful and reliable information and useful information for the virtual influencer were found to be significant in intention to visit.

• Smart Media Journal
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• v.11 no.1
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• pp.67-80
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• 2022

Smart City Technology, which is significant in the era of the 4th industrial revolution, greatly increases the efficiency and productivity of cities nowadays. The purpose of this study is to present a strategic approach for industrial revitalization and overseas export by analyzing the current status of smart city-related companies and discovering high-priority smart city technologies. To this end, the smart city theory and ASEAN smart city were reviewed through prior research, and a survey of companies with domestic smart city technology was conducted. As a result of the survey, it is revealed that companies with smart city technology in Korea are highly willing to export to ASEAN countries. There is a strong desire to export the following technologies: construction, traffic, green·energy, etc. And there was a high willingness to export the following services: IoT, platform, AI, etc. The following solutions have been proposed as solutions to Strategic Plans to Promote the Export: 1) Deregulation and incentives, 2) Global human resource development, 3) Information provision and strengthening of local networks, 4) Financial and public relations support.

• Therapeutic Science for Rehabilitation
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• v.11 no.1
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• pp.87-99
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• 2022

Objective : Through the application of the Anderson model, this study provides an empirical analysis of the decision-making factors for participation in cognitive improvement programs for the elderly living in the community. Methods : This study was conducted through an online survey. The participants were elderly people aged 65 years or older living in the community. The survey had 154 participants and was conducted over a two-month period from August to September 2020. Results : The main results of this study were as follow: first, there was no correlation between the predisposing factors and cognitive improvement program; second, among the enabling factors, diversity, interest, and effectiveness of the program were correlated with the cognitive improvement program; and third, there was no correlation between participation in the cognitive improvement program and need factors. Conclusion : This study shows that the results of basic information and evidence will be identified through analysis of the results of the study and that the implications for the development of cognitive improvement programs will be obtained in the future.

• Geophysics and Geophysical Exploration
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• v.25 no.4
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• pp.214-216
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• 2022

Distributed acoustic sensing (DAS), an increasingly growing acquisition technique in the oil and gas exploration and seismology fields, has been used to record seismic signals using optical cables as receivers. With the development of imaging methods for DAS data, full waveform inversion (FWI) is been applied to DAS data to obtain high-resolution property models such as P- and S-velocity. However, because the DAS systems measure strain from the phase distortion between two points along optical cables, DAS data must be transformed from strain to particle velocity for FWI algorithms. In this study, a plane-wave FWI algorithm based on the relationship between strain and horizontal particle velocity in the plane-wave assumption is proposed to apply FWI to DAS data. Under the plane-wave assumption, strain equals the horizontal particle velocity, which is scaled by the velocity at the receiver position. This relationship was confirmed using a numerical experiment. Furthermore, 4-layer and modified Marmousi-2 velocity models were used to verify the applicability of the proposed FWI algorithm in various survey environments. The proposed FWI was implemented in land and marine survey environments and provided high-resolution P- and S-velocity models.

• Land and Housing Review
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• v.14 no.2
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• pp.125-135
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• 2023

Drones are used in various fields, including land survey, transportation, forestry/agriculture, marine, environment, disaster prevention, water resources, cultural assets, and construction, as their industrial importance and market size have increased. In this study, image data for deep learning was collected using a mavic3 drone capturing images at a shooting altitude was 20 m with ×7 magnification. Swin Transformer and UperNet were employed as the backbone and architecture of the deep learning model. About 800 sheets of labeled data were augmented to increase the amount of data. The learning process encompassed three rounds. The Cross-Entropy loss function was used in the first and second learning; the Tversky loss function was used in the third learning. In the future, when the crack detection model is advanced through convergence with the Internet of Things (IoT) through additional research, it will be possible to detect patching or potholes. In addition, it is expected that real-time detection tasks of drones can quickly secure the detection of pavement maintenance sections.

• Korea Science and Art Forum
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• v.22
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• pp.169-183
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• 2015

As time is rapidly changing, the culture to represent an era is getting more subdivided and complex. Due to cultural diversity, the influence, cause, characteristics which could be understood in individual field centered by space in the past cannot be understood now only by the viewpoint of one field, and it has become difficult to predict and correspond to the change of the future. With the development of information and knowledge delivery system, various cultural contents to form a space are being created and lapsed, but there are a lot of parts which cannot be explained or understood by only one point of view. To inspect these situation, this study is aimed to draw the Tangibility and Intangibility Value causes that became the influence with Jongmyo Shrine, designated from UNESCO at February 1995, a traditional space with historical superiority, analyze the key factors that became the main factor to form the space, and consider the importance of the related factors. The unconstructured data technique which is applied as the method of analysis in this study can be said to be a new value judgement and viewpoint in interpreting the space. Therefore, this study is a new trial to provide a frame for multilaterally interpreting the various traditional space and culture of Korea from the past to the present.

• Korea Science and Art Forum
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• v.29
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• pp.279-292
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• 2017

This study was started by recognizing that visual storytelling(VST) is an important factor that determines the success of the work. The goal of this study is to analyze the VST study approaching from the narrative and visual dimension by analyzing the conflict intensity and VST factor. Therefore, in this paper, we analyzed the conflicts of the theater animation(4) that succeeded in the worldwide success and attempted the VST interpretation by approaching it technically. The results and contents of the study are as follows. Firstly, based on the narrative theory of Sung bong-Sun and Robert McKee, we classified the conflict scenes and found the kinds of conflicts. In addition, based on the 5B model, a total of 108 conflict shots were extracted. Secondly, through expert experiment, we found the conflict intensity of conflict shots. Thirdly, the visual elements of fifteen significant conflicts were extracted from internal and super individual conflicts. Fourth, as a result of the experiment, it was confirmed that the reliability of the visual elements in the inner and super personal conflicts was in the range of 100-83.33%, and the frequency of usage was found to be widely distributed in 5.88-70.59% and 5-70%. This means that the VST expression, which relied on the sense of the artist, can be engineered. Finally, I expect that it will be the basis of the development of the VST Tool which can predict the conflict expression of the work in the animation pre - production stage successfully.

• Korea Science and Art Forum
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• v.35
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• pp.145-155
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• 2018

The goal of the study is to provide a new type of audio-visualization method through case analysis and work production based on Polysomnography(PSG) data that is difficult to interpret or not familiar to the public. Most art works are produced with conscious actions during waking hours. On the other hand, during sleep, we get into the world of unconsciousness. Therefore, through the experiment, want to discover if could get something new when we were in the subconscious state, and if so, wondered what kind of art could be made through it. The study method is to consider definition of sleep and sleep data first. The sleep data were classified into normal group and Narcolepsy, Insomnia, and sleep apnea by focusing on sleep disorder graphs that is measured by sleep polygraph. After that, I refined and converted the acquired biometric data into a text-based script. The degree of sleep in the text form of the script was rendered as a 3D animated image using Maya. In addition, the heart rate data script was transformed into a midi format, and the audition was implemented in the garage band. After Effects combines the image and sound to create four single channel images of 3 minutes and 20 seconds each. As a result of the research, I made an opportunity for anyone easy to understand the results, having difference with the normal data, through art instead of using difficult medical term. It also showed the possibility of artistic expression even when conscious actions did not occur. Through the results of this research, I expect the expansion and diversity of artistic audiovisual expression of biometric data.

• Korea Science and Art Forum
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• v.30
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• pp.453-464
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• 2017

With the development of IT technology, various smart products and services have been spread in our daily life, providing users with convenience and emotional satisfaction. Particularly, input and output technologies, sensor technologies, and intelligent system technologies have offered new opportunities for diverse interaction patterns and new user experiences. This research started from the interest in the idea generation of product designers who need to combine various technological aspects with users' needs. The goal of this research is to propose an interaction design framework which can be used in an idea generation stage. To do so, first, the concept and characteristics of smart products were studied through literature reviews, and the interaction technologies, including input/output modality and context-aware technologies, were also investigated. Then, the frameworks that have been proposed in the deisgn fields were reviewed. This paper finally proposed the interaction design framework and explained its application to the idea generation, using several case studies. The proposed framework consists of four categories: product components, context-awareness elements, information input elements, and feedback output elements. Each of these are divided into several sub-categories, focused on users' needs. Sub-categories includes some elements of interaction, and each of the elements is explained with an existing smart product/system. The paper also describes how the proposed framework would be used in the idea generation process, using some design ideation examples. In the future study, more various concept ideas will be proposed through some elaborated case studies, and the framework is expected to be verified in terms of its possibility as an idea generation tool.