• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.213-226
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• 2022

The importance of gamification is garnering increased attention in the corporate world. Gamification refers to using game mechanics and thinking patterns in non-game domains to promote user engagement. By reviewing the definition of gamification and related literary research, we aim to understand how to put theory into practice and determine the organization of gamification's main features. Next, in order to understand the current implementation methods of mobile payment gamification marketing. We analyze popular mobile payment apps as case studies. To examine the effectiveness of game mechanics on mobile payment marketing to determine whether there is a positive impact on brand loyalty and stickiness. The results are used to identify shortcomings in gamified mobile payment systems. Finally, we propose a gamification framework model for mobile payments and offer recommendations for underutilized game mechanics based on previous cases. Future research can reference our model for deeper studies on the effectiveness and impact of gamified mobile payments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.541-547
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• 2022

Realistic education using virtual reality compared to traditional learning can enhance students' understanding of knowledge through immersion and interaction. In previous studies, VR education is mainly focused on experiences, and it is difficult to find its applications for environmental education. Environmental issues are a global problem, and environmental education is essential for the future. In this research, we developed an immersive virtual reality-based environmental education simulation designed to help students recognize the importance of environmental education and participate in environmental-friendly actions. This simulation is based on the virtual ecosystem model, which maintains a casual relationship among environmental factors, spatio-temporal connection, and persistent state. Users intuitively recognize environmental problems and is motivated to solve the problem while experiencing the results of interaction related to environmental factors in virtual environment.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.6
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• pp.435-444
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• 2022

This study conducts capture simulations of space debris using a space-net. The present capture simulations are performed using ABAQUS, a nonlinear structural dynamics analysis code. A square space-net with 1 m × 1 m and a space debris with a cube configuration(0.3 m × 0.3 m × 0.3 m and 30 kg) are considered as baseline models. Using the baseline models, the capture simulation using ABAQUS is conducted to understand the capture process and establish the criteria of capture success or fail. In addition, the capture simulations are performed when various properties of the space-net are considered, and it is investigated that major design factors of the space-net are recognized to capture successfully the space debris.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.177-186
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• 2021

This review aims to propose a model that can reinterpret the abnormal and functional connections between cognitive processes and emotional regulations based on the neurocognitive networks for a comprehensive understanding of pathologic processes and treatment approach of depression and anxiety disorder. Through the processes of rebuilding the network model for depression and anxiety disorder, it was confirmed that depression can be said to be 'over-immersion in self-referencing' due to hyper-activation of default mode network (DMN), and anxiety disorders to be 'disconnection with self-referencing' due to hypo-activation of DMN. The attempts to link up between abnormal activation and pathological function of DMN which is thought to be involved in self-referential processing associated with self-consciousness and projection among neurocognitive networks may be another starting point that can afford to be suggestive in integrated interpretation and therapeutic approach to depression and anxiety disorder.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1238-1247
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• 2022

The e-commerce market is growing faster as demand for non-face-to-face shopping increases due to COVID-19. These changes lead to the expansion of various opportunities for consumers, but companies are required to understand consumer characteristics and reflect them in their sales strategies so that they can be competitive in the market. This study examined how the perceived ease and utility of consumers affect the intention to use the platform according to the technology acceptance model (TAM). As a result, it was confirmed that the price competitiveness, awareness, and ease of use of the platform had a significant effect on the utility. In addition, it was confirmed that there was no moderating effect of user characteristics on the effect of ease of use on the platform intention. These results present important implications for a company's sales strategy, and in future studies, it is necessary to expand the study in consideration of more diverse variables.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.351-356
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• 2022

The era of the 4th industrial revolution is being built on the digital revolution. In order to understand and properly utilize these technological advances, digital literacy education is emphasized. This study investigated the components of digital literacy and proposed a curriculum & teaching and learning method improvement plan, and instructor digital literacy cultivation method. In order to improve the curriculum, it is necessary to improve the curriculum by expanding the ability to solve digital problems. As a plan to improve teaching and learning methods, it is necessary to present a linkage and convergence educational model based on communication, collaboration, and sharing between instructors and learners through the establishment of an interactive platform. In order to improve the digital literacy of instructors, it is very important to improve the educational environment that can easily design a learner-centered educational model. This study is meaningful in that it presented basic data for creating an educational environment based on communication and collaboration through digital literacy in an environment connected with digital technology.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.139-145
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• 2022

As products that consumers want become more diverse, the types of automation equipment are becoming more diverse and advanced to produce competitive products. In general, equipment is manufactured with built-in interface devices (HMI) for users so that operators can efficiently monitor and operate equipment quickly. Because HMI devices are connected to various industrial controllers, elements such as communication protocols of various controllers must be understood and set up in the design stage. Non-experts not only have difficulty choosing compatible items among various protocols, but also have limitations in integrating and operating on one device because screens and settings are statically assigned. This paper proposes a model that can scan information such as equipment ID and communication protocol with QR code using a mobile device, access industrial controller, and remotely operate the displayed equipment screen. The proposed model is expected to increase efficiency in inspection and management of automated equipment as it can easily set, monitor, and operate the communication environment of various automated equipment using one mobile device.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.57-66
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• 2022

In this paper, we propose a legal document search method that uses the Sentence-BERT model. The general public who wants to use the legal search service has difficulty searching for relevant precedents due to a lack of understanding of legal terms and structures. In addition, the existing keyword and text mining-based legal search methods have their limits in yielding quality search results for two reasons: they lack information on the context of the judgment, and they fail to discern homonyms and polysemies. As a result, the accuracy of the legal document search results is often unsatisfactory or skeptical. To this end, This paper aims to improve the efficacy of the general public's legal search in the Supreme Court precedent and Legal Aid Counseling case database. The Sentence-BERT model embeds contextual information on precedents and counseling data, which better preserves the integrity of relevant meaning in phrases or sentences. Our initial research has shown that the Sentence-BERT search method yields higher accuracy than the Doc2Vec or TF-IDF search methods.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.223-233
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• 2022

In this paper, we examined the causes of information privacy concerns, trust and related factors in social network services. On the basis of the 'elaboration likelihood model,' we established factors such as information quality, privacy policy, perceived SNS app popularity and optimism bias affecting information privacy concern of SNS users. In addition, we analyzed the relationship between information privacy concern, trust in SNS members, trust in SNS platform and intention to use. Finally, on the basis of the 'trust transfer theory', we analyzed the relationship between trust in SNS members and trust in SNS platform. The results of the study showed that (1) information quality, privacy policy and optimism bias had the significant effects on information privacy concerns, (2) perceived SNS app popularity didn't affect information privacy concerns, (3) information privacy concerns had the significant effects on trust in SNS platforms (4) in accordance with the trust transfer theory, trust in SNS members had the significant effect on trust in SNS platforms, and (5) trust in SNS members had the significant effect on intention to use, while trust in SNS platform didn't have the significant effect on intention to use. The findings of the study are expected to help to improve the SNS firms' understanding towards customers' information privacy protection behaviors and trust.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.685-690
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• 2022

Recent research on soft adhesives has sought to understand in depth how their chemical or mechanical structures interact strongly with living tissues. The aim is to optimally address the unmet needs of patients with acute or chronic diseases. Synergy adhesion, which includes both electrostatic (hydrogen bonds) and mechanical interactions (capillary stress), appears to be effective in overcoming challenges related to long-term unstable bonds to wet surfaces. Here, we report electrostatic and mechanically synergistic mechanisms of adhesion without chemical residues. To infer the mechanism, a thermodynamic model based on custom combination adhesives has been proposed. The model supported experimental results that thermodynamically controlled swelling of hydrogels embedded in elastomeric structures improves biofluidic insensitive on-site adhesion to wet surfaces and improves detachment without chemical residues in the direction of peeling.