• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.656-661
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• 2022

Password with a combination of 4-digit numbers has been widely adopted for various authentication systems (such as credit card authentication, digital door lock systems and so on). However, this system could not be safe because the 4-digit password can easily be stolen by predicting it from the fingermarks on the keypad or display screen. Furthermore, due to the prolonged COVID-19 pandemic, contactless method has been preferred over contact method in authentication. This paper suggests a new password input method based on eyeblink pattern analysis in video sequence. In the proposed method, when someone stands in front of a camera, the sequence of eyeblink motions is captured (according to counting signal from 0 to 9 or 9 to 0), analyzed and encoded, producing the desired 4-digit decimal numbers. One does not need to touch something like keypad or perform an exaggerated action, which can become a very important clue for intruders to predict the password.

• Geomechanics and Engineering
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• v.28 no.6
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• pp.599-611
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• 2022

Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.343-349
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• 2021

This study aimed to investigate the effect of smart-phone addiction on the between interpersonal relationship ability and academic achievement among nursing students. The study is a cross-sectional survey and the participants were 160 students from one university located in G city. Data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression and Sobel test to test the significance of a mediation effect using SPSS 25 software. Results of the multiple regression were that smartphone addiction, had a significant negative effect on interpersonal relationship ability and academic achievement in nursing students. These findings imply that cinterpersonal relationship ability is important to improve the level of academic achievement in nursing students. This study highlights the value of interpersonal relationship ability and the need to develop various convergence education strategies to promote smartphone addiction managment way to cultivate nursing students' academic achievement.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.7
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• pp.1023-1030
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• 2021

Korea Maritime Safety Tribunal (KMST) statistics released in of 2019 indicated that most collision accidents involving small-size vessels with less than 20 gross-tonnage occur mainly due to operational carelessness, such as forward-looking negligence and unskilled vessel control. As an effective remedy, training and education for vessel operators are being strengthened to prevent accidents. However, collision accidents are increasing, and technical measures are continuously developed to reduce accidents caused by human factors. In this study, an avoidance algorithm and prototype of terminal-controller against collision between two nearby vessels was developed for implementation on relative navigation control by adopting WAVE telecommunication technology. Moreover, several sea trial tests were performed to verify the collision avoidance algorithm and control system using two fishing vessels for dif erent scenarios.

• Smart Structures and Systems
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• v.31 no.2
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• pp.113-130
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• 2023

Hybrid simulation (HS) has attracted community attention in recent years as an efficient and effective experimental technique for structural performance evaluation in size-limited laboratories. Traditional hybrid simulations usually take deterministic properties for their numerical substructures therefore could not account for inherent uncertainties within the engineering structures to provide probabilistic performance assessment. Reliable structural performance evaluation, therefore, calls for stochastic hybrid simulation (SHS) to explicitly account for substructure uncertainties. The experimental design of SHS is explored in this study to account for uncertainties within analytical substructures. Both computational simulation and laboratory experiments are conducted to evaluate the pseudo-random Sobol sequence for the experimental design of SHS. Meta-modeling through polynomial chaos expansion (PCE) is established from a computational simulation of a nonlinear single-degree-of-freedom (SDOF) structure to evaluate the influence of nonlinear behavior and ground motions uncertainties. A series of hybrid simulations are further conducted in the laboratory to validate the findings from computational analysis. It is shown that the Sobol sequence provides a good starting point for the experimental design of stochastic hybrid simulation. However, nonlinear structural behavior involving stiffness and strength degradation could significantly increase the number of hybrid simulations to acquire accurate statistical estimation for the structural response of interests. Compared with the statistical moments calculated directly from hybrid simulations in the laboratory, the meta-model through PCE gives more accurate estimation, therefore, providing a more effective way for uncertainty quantification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2124-2139
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• 2023

In this article, the authors focus on the use of smart CCTV, a combnation of biometric recognition technology and AI algorithms. In fact, the advancements in relevant technologies brought a significant increase in the use of biometric information - fingerprint, retina, iris or facial recognition - across diverse sectors. Both the public and private sectors, with the developments of biometric technology, widely adopt and use an individual's biometric information for different reasons. For instance, smartphone users highly count on biometric technolgies for the purpose of security. Public and private orgazanitions control an access to confidential information-controlling facilities with biometric technology. Biometric infomration is known to be unique and immutable in the course of one's life. Given the uniquness and immutability, it turned out to be as reliable means for the purpose of authentication and verification. However, the use of biometric information comes with cost, posing a privacy issue. Once it is leaked, there is little chance to recover damages resulting from unauthorized uses. The governments across the country fully understand the threat to privacy rights with the use of biometric information and AI. The EU and the United States amended their data protection laws to regulate it. South Korea aligned with them. Yet, the authors point out that Korean data aprotection law still requires more improvements to minimize a concern over privacy rights arising from the wide use of biometric information. In particular, the authors stress that it is necessary to amend Section (2) of Article 23 of PIPA to reflect the concern by changing the basis for permitting the processing of sensitive information from 'the Statutes' to 'the Acts'.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.655-661
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• 2023

Big data, an important element of the 4th industrial revolution, is actively opening public data in public institutions and local governments. In the public data portal, everyone can conveniently search for data and check related data, but only those in ICT-related fields are using public data. Although data held by public institutions is open to citizens, it is difficult for anyone to easily utilize public data to develop applications. In this paper, data provided in open API format from public data portals has XML and JSON formats. In this study, we are a method of modularizing public data in XML format into a part that can be easily developed by linking it to a GUI interface. Based on the necessary public data, we propose a way to easily develop mobile programs and promote the use of public data.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.199-204
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• 2023

The COVID-19 pandemic, which began in early 2020, became an opportunity for unprecedented global reflection and change. And it served as an opportunity to promote a new paradigm in all areas of society, including politics, economy, culture, and industry. In the midst of this upheaval, the 2022 IAA exhibition, which was held in four years, was held as an exhibition that even proposed new concepts of smart logistics and mobility services. Among them, various concepts were also proposed in exhibitions related to last mile mobility, the focus of this study.As a result of this study, the main trend of last mile mobility shown in the IAA 2022 exhibition is that the property of physical products with functions as social interfaces is expanding into the PSS (Product-Service System) ecosystem in which products and services are systematically linked. As a result, the need for a methodological approach that can organically link the design planning of social services and the development of products corresponding to it was derived.

• Journal of Korean society of Dental Hygiene
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• v.23 no.1
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• pp.33-42
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• 2023

Objectives: Based on the strengths of augmented reality (AR), this study aimed to determine the dental plaque removal efficiency of a guided brushing program in children. Methods: This randomized, controlled, double-blind crossover clinical trial evaluated the plaque removal rate after regular brushing versus AR-based guided toothbrushing in 20 children aged 5-12 years. Results: Overall, the dental plaque removal efficiency of AR-based brushing was superior to that of regular brushing (p<0.05). When classified in detail, no significant difference was noted in the plaque removal rate between the two brushing methods in the anterior region (p=0.056), whereas a significant difference in the plaque removal rate was observed in the posterior region (p<0.05). Conclusions: Based on these results, the efficacy of dental plaque removal for brushing using an AR-based smartphone application was confirmed; thus, this can be used for oral health education incorporating ICT technology in the future.