• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.2
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• pp.153-170
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• 2022

Waterjet has been comprehensively used in urban areas owing to a suitable technique for cutting concrete and rock, and low noise and vibration. Recently, the abrasive waterjet technique has been adopted and applied by the Korea Atomic Energy Research Institute to demolish concrete plugging without disturbing and damaging In-situ Demonstration of Engineered Barrier System in the disposal research tunnel. In this study, the use of abrasive waterjet in the tunnel was evaluated for practical applicability and the existing cutting model was compared with the experimental results. As a variable for waterjet cutting, multi-cutting, water flow rate, abrasive flow rate, and standoff distance were selected for the diversity of analysis. As regarding the practical application, the waterjet facilitated path selection for cutting the concrete plugging and prevented additional disturbances in the periphery. The pump's noise at idling was 64.9 dB which is satisfied with the noise regulatory standard, but it exceeded the standard at ejection to air and target concrete because the experiment was performed in the tunnel space. The experimental result showed that the error between the predicted and measured cutting volume was 12~13% for the first cut and 16% for second cut. The standoff distance had a significant influence on the cutting depth and width, and the error tended to decrease with decrement of standoff distance.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.49-71
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• 2022

The purpose of this paper is to study the effect of the corporate social responsibility by port operation organization on the brand asset, reputation and relationship performance perceived by interested parties. To achieve such a purpose, literature survey on various research papers and thesis, research report is carried out and also reliability analysis, validity test and multiple regression analysis using SPSS 18.0 are used. To verify a established research model for empirical analysis and hypotheses, questionnaires are distributed to the port operation organization, terminal operators, shipping companies and NGO. Total 414 copies of questionnaires were collected and used in this analysis. The main results of the study are summarized as below. First, it was confirmed that social responsibility of the port operation organization are classified into three categories; economic, legal, and charitable and ethical responsibility. Second, economic responsibility has a positive impact on the brand awareness and reputation. Third, legal responsibility has a positive impact on the trust and commitment. Fourth, charitable and ethical responsibility has a positive impact on brand image and awareness, reputation, trust and commitment. Further additional empirical research can be extended by distributing more questionnaires including several port operation organizations in Busan and Incheon.

• Journal of the Korean Applied Science and Technology
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• v.39 no.5
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• pp.652-665
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• 2022

This study attempted to illustrate in-depth light on the process of experiencing the campus life of university life of students specialized in golf who are forming new exercise culture in a transitional state students based on the grounded approach. For this, it selected 10 athletic students as research participants majoring in golf in A University in Chungcheong-do and collected data through in-depth interviews. As for the data analysis, the coding paradigm was composed to derive concepts and clarify the relations between concepts according to the grounded theoretical analysis suggested by Strauss and Corbin (1990), and the research results are as follows: First, 117 concepts, 16 subcategories, and 10 upper categories were deducted in the open coding. Second, the causal conditions were categorized into "University Life of Contactless Classes," contextual elements into "Practical Exercise," and "Participation in Classes," and the central phenomenon was regarded as the "Meaning of University Life as a University Athletic Student (golf)." As a result of reviewing the process of exercise and study at the same time, the conditions of arbitration were summarized as "Relation Formation" and "Ability Improvement," and the action/interaction strategies were categorized as "Academic Research" and "Negative Thinking," and at last, the results were composed of "Looking Back at the Past University Life," "Identity," and "Future Design." Based on these research results, the model of doing exercise and study at the same time of the university athletic students (golf) was categorized by the grounded theoretical paradigm procedure, and the university athletic students (golf) continued their university life without rest as their exercise life was influenced positively by academic life, and in addition, policy implications for enhancing the competency of student athletes who can encompass both exercise and study were presented.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.61-76
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• 2020

As the media environment changes rapidly, the size of the online advertising market is growing rapidly. However, consumer's trustfulness in online advertising is much lower than that of old media, and there is also a phenomenon of advertising avoidance. Thus, in this study, advertising skepticism, advertising appeals, involvement, and FCB Grid theory were used to provide Youtube and advertisers with implications for advertising strategies. It was intended to provide a way to lower consumer advertising avoidance. As a result of Research 1, consumers with high advertising avoidance showed low advertising attitudes, brand attitudes, and attitudes toward products. In addition, there was no difference in gender, and when the frequency of online video viewing decreased and the age increased, advertising avoidance increased. Research 2 shows that consumers with high levels of advertising skepticism showed a high level of advertising attitude when the level of involvement was low and transformational appeal was high. In the FCB Grid model, consumers with high levels of advertising skepticism are found to be suitable for transformational appeal advertising. These results mean that Youtube and advertisers should think important about advertising skepticism, which is the cause of advertising avoidance, and that consumers with high levels of advertising skepticism should be presented with advertisements suitable for each type of product in the online advertising market.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.171-176
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• 2023

The purpose of this study is to analyze the introduction and use cases of Metaverse in the financial sector to learn lessons and implications. Let's take a look. The era of the metaverse is coming. The financial sector is pioneering the blue ocean market in a new era and working with the MZ generation. In order to expand contact points, we are very interested in the new business model, Metaverse, and are actively engaged in research and development. appear to be participating. In the case of finance, information is efficiently transmitted through metaverse, and customers It is predicted that the convenience of customers will be greatly improved by making it possible to use convenient services without visiting a branch. Additionally, by utilizing technologies such as AR and VR, we are trying to provide services linked to the metaverse in earnest. In addition, new financial services such as non-face-to-face asset management consulting services and brokerage services for funds through Metaverse Business models are also expected to be created. It is still in its infancy, and it is currently in its infancy, Metaverse is being used for educational purposes.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.13-23
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• 2022

In this paper, we propose a detailed component image classification algorithm by fashion item for unstructured data retrieval in the fashion field. Due to the COVID-19 environment, AI-based online shopping malls are increasing recently. However, there is a limit to accurate unstructured data search with existing keyword search and personalized style recommendations based on user surfing behavior. In this study, pre-processing using Mask R-CNN was conducted using images crawled from online shopping sites and then classified components for each fashion item through CNN. We obtain the accuaracy for collar of the shirt's as 93.28%, the pattern of the shirt as 98.10%, the 3 classese fit of the jeans as 91.73%, And, we further obtained one for the 4 classes fit of jeans as 81.59% and the color of the jeans as 93.91%. At the results for the decorated items, we also obtained the accuract of the washing of the jeans as 91.20% and the demage of jeans accuaracy as 92.96%.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.51-58
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• 2023

In this paper, we propose an organ segmentation technique for the automatic extraction of medical diagnostic indicators from X-ray images. In order to calculate diagnostic indicators of heart disease and spinal disease such as VHS(vertebral heart scale) and Cobb angle, it is necessary to accurately segment the thoracic spine, carina, and heart in a chest X-ray image. A deep neural network model in which the high-resolution representation of the image for each layer and the structure converted into a low-resolution feature map are connected in parallel was adopted. This structure enables the relative position information in the image to be effectively reflected in the segmentation process. It is shown that learning performance can be improved by combining the OCR module, in which pixel information and object information are mutually interacted in a multi-step process, and the channel attention module, which allows each channel of the network to be reflected as different weight values. In addition, a method of augmenting learning data is presented in order to provide robust performance against changes in the position, shape, and size of the subject in the X-ray image. The effectiveness of the proposed theory was evaluated through an experiment using 145 human chest X-ray images and 118 animal X-ray images.

• Korean Association of Arts Management
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• no.56
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• pp.5-38
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• 2020

This study begins with the question of how culture-based communities can form a community culture and become a community of sustainable development. Based on the concept of community, community development factors and stage of development, cultural activities, and policy implementation theory, policy execution analysis models suitable for culture-based community projects were derived. A qualitative case study method was adopted as a research method, and success stories of culture-based village communities were selected as the 'Gamgol Community' in Sadong, Ansan, 'Sangdong Community' in Daebu-dong, Ansan, and 'Grimae Village' in Sinse-dong, Andong. Through in-depth interviews, literature analysis, and direct observation, the research analysis used pattern matching, explanation, chronicle analysis, and case integration analysis methods presented by Yin (2009). As a result of the study, first, the characteristics of the policy implementation strategy were taking place in the process of step-by-step development. The main factors in the community development phase were the improvement of community consciousness through the emotional change of participants and the change of capacity within the community. Second, it was understood that cultural activities played a major role in strengthening community consciousness and community capacity, and could be understood as various creative activities. Based on the ecological approach study on culture-based community, this study derived the policy execution analysis model, analyzed the case of culture-based village community, presented the direction of development of community and presented practical implications.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.971-978
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• 2022

As a marketing method in a non-face-to-face society, the purpose of this study is to test how AR experience affects purchase intention in the process of consumers recognizing product information to purchase products and to secure the basis for the effectiveness of developing and introducing augmented reality functions in future product brand applications. Literary research methods and empirical research methods were used to verify the research purpose, and to measure this, an application of domestic tableware brand 'Odense', which implements augmented reality functions, was produced and used as an experimental tool. Also, a direct causal relationship was attempted by constituting a questionnaire by deriving a measurement scale for perceived usefulness, perceived ease, perceived pleasure, and purchase, which are factors of technology acceptance theory (TAM), and empirical analysis was conducted using the SPSS 25.0 statistical package to achieve the purpose of the study. As a result of the study, significant results were derived from all factors in the effect of perceived usefulness, ease, and pleasure on purchase intention, and several significant differences were found among factors according to gender, age, and internet shopping usage time in general characteristics. In conclusion, the user experience of the medium in which the augmented reality function is introduced in the information recognition stage of the product has a positive effect on purchase compared to the user experience of existing applications.

• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.163-186
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• 2022

The study was conducted to reveal the influence of variables causing post-traumatic growth and suggest ways to utilize it in the counseling and clinical field. Data from 208 youths in Korea were collected and analyzed using the SPSS 25.0 and AMOS 26,0 statistic programs. This study took the perspective that post-traumatic growth was affected by the balanced- time-perspective and social-connectedness and tried to examine the influence and relation of the two variables. A frequency-analysis was performed to identify the demographic characteristics and the trends of the variables, and a Pearson's -correlation analysis was conducted to examine the relations between variables. A hierarchical- regression- analysis was performed to examine the influence of the major variables, And path-analysis was carried out to verify the research model, and the indirect effect was confirmed by using the bootstrapping method. First, religion, among all demographic variables, showed a significant effect on the post-traumatic growth. Second, the balanced-time-perspective and social-connectedness had a significant effect on post-traumatic growth. Third, the balanced time perspective influenced social-connectedness and through this process, the path explaining how post traumatic growth occurs was revealed. This suggests that the both balanced time perspective and social connectedness are important for inducing post- traumatic growth, and the utility of the variables in the counseling and clinical field.