• Journal of Microbiology and Biotechnology
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• v.31 no.12
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• pp.1716-1721
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• 2021

Chikungunya fever is an arboviral disease caused by the Chikungunya virus (CHIKV). The disease has similar clinical manifestations with other acute febrile illnesses which complicates differential diagnosis in low-resource settings. We aimed to develop a rapid test for CHIKV detection based on the nucleic acid lateral flow immunoassay technology. The system consists of a primer set that recognizes the E1 region of the CHIKV genome and test strips in an enclosed cassette which are used to detect amplicons labeled with FITC/biotin. Amplification of the viral genome was done using open-source PCR, a low-cost open-source thermal cycler. Assay performance was evaluated using a panel of RNA isolated from patients' blood with confirmed CHIKV (n = 8) and dengue virus (n = 20) infection. The open-source PCR-NALFIA platform had a limit of detection of 10 RNA copies/ml. The assay had a sensitivity and specificity of 100% (95% CI: 67.56% - 100%) and 100% (95% CI: 83.89% - 100%), respectively, compared to reference standards of any positive virus culture on C6/36 cell lines and/or qRT-PCR. Further evaluation of its performance using a larger sample size may provide important data to extend its usefulness, especially its utilization in the peripheral healthcare facilities with scarce resources and outbreak situations.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1476-1484
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• 2021

The purpose of this study was to compare the golf performance on transcranial direct current stimulation(tDCS). Ten collegiate golfers were participated. SAMPutt basic unit was used to analyze the kinematic data of putter head. A putting platform and a tDCS were used for putting tasks. It was performed paired t-test to compare between before tDCS and after tDCS. A significant level of .05 using SPSS 24.0. Face at aim and backswing variables of putter head were significantly different during flat putting. Impact spot of putter head was significantly different during 2° of hook slope. However, there were not significantly different others slope angle. It was found that transcranial direct current stimulation had a positive effect on kinematic variables. Based on these results, further research is needed to confirm the effect of transcranial direct current stimulation on body stability during putting task.

• The Journal of Korean Physical Therapy
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• v.33 no.6
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• pp.278-285
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• 2021

Purpose: This study investigated the effects of open kinetic chain (OKC) exercise for the gastrocnemius (GCM) and tibialis anterior (TA) muscles on static and dynamic balance and muscle strength. Methods: We recruited 21 healthy participants, dividing them into 3 groups (GCM, TA, and non-exercise). Each group contains 7 participants. Two exercise groups (GCM and TA) performed OKC exercise with elastic bands twice per week for 4 weeks, while non-exercise group did nothing. We obtained the data for static and dynamic balance and muscle strength before and after the intervention. We used the Kruskal-Wallis test to compare and analyze the pre-post-intervention differences among the groups. Results: For static balance, the stability index of the TA group was the lowest for the dynamic platform (p<0.05). The dynamic balance of the TA group increased for the anterior and posteromedial directions (p<0.05). The peak torque increased in the TA group for dorsiflexion (D/F) movement and in the GCM group for plantar flexion movement compared with the other groups, except for the left direction during D/F (p<0.05). Conclusion: OKC exercises with elastic bands were effective for selectively increasing muscle strength. It is clinically thought that strength training for TA muscles will be effective among the muscles of the ankle.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.137-144
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• 2022

This study is an empirical study on whether the interval of K-pop content updates and price changes consumer purchasing intentions for domestic fandom commerce platforms that turn their profit structure online and strengthen fandom-based marketing to cope with changes in the digital environment. FGI and a survey was conducted using a conjoint analysis designed to confirm the difference in price elasticity according to the content update interval. As a result, the price elasticity of K-pop content was found to be an inelastic characteristic, and the change in price elasticity according to the content update interval was not statistically significant. This study provides basic data to be used to establish a marketing strategy for the fandom commerce market that will grow in the future.

• Journal of IKEEE
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• v.26 no.3
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• pp.364-372
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• 2022

This paper proposes the design and implementation results for human and object classification systems utilizing frequency modulated continuous wave (FMCW) radar sensor. Such a system requires the process of radar sensor signal processing for multi-target detection and the process of deep learning for the classification of human and object. Since deep learning requires such a great amount of computation and data processing, the lightweight process is utmost essential. Therefore, binary neural network (BNN) structure was adopted, operating convolution neural network (CNN) computation in a binary condition. In addition, for the real-time operation, a hardware accelerator was implemented and verified via FPGA platform. Based on performance evaluation and verified results, it is confirmed that the accuracy for multi-target classification of 90.5%, reduced memory usage by 96.87% compared to CNN and the run time of 5ms are achieved.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.47-64
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• 2022

This study attempted to identify the effect of personal innovation, perceived ease of use and perceived usefulness on the intention to use for users of OTT service platform Netflix, and finally affects flow and addiction. According to the research results, personal innovation has a positive impact on compatibility, simplicity and perceived usefulness, simplicity and perceived usefulness have a positive effect on use intention, compatibility and use intention have a positive effect on flow, and flow has a positive effect on addiction. This study is meaningful in that it can improve the understanding of user intention based on Netflix's new subscription standard and provide basic data that can be used for basic research on OTT service users' flow and addiction and development strategies of OTT content providers.

• Fashion & Textile Research Journal
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• v.24 no.2
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• pp.229-240
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• 2022

This study explores the effect of anthropomorphism on fashion chatbot reliability, mediated by perceived intelligence and cognitive evaluation. The moderating effects of individuals' need for human interaction between chatbot anthropomorphism and perceived intelligence, cognitive evaluation, and chatbot reliability are also explored. Participants, who were recruited through the online research firm, responded to questions after watching a video clip showing a conversation with a fashion chatbot on a mobile screen. The data were collected through Mturk, a crowdsourcing platform with an online research panel. All responses (N = 212) were analyzed using SPSS 26.0 for the descriptive statistics, frequency analysis, reliability analysis, exploratory factor analysis, and PROCESS procedure. The results demonstrate that chatbot anthropomorphism increases chatbot reliability, and this is mediated by chatbot intelligence. Although chatbot anthropomorphism increases cognitive evaluation, the effect of cognitive evaluation on chatbot reliability is not significant; thereby, the effect of chatbot anthropomorphism on chatbot reliability is not mediated by the cognitive evaluation. The direct effect of anthropomorphism on chatbot reliability is also moderated by individuals' need for human interaction. For participants with a high need for human interaction, chatbot anthropomorphism increases chatbot reliability; however, anthropomorphism does not significantly affect chatbot reliability for participants with a low need for human interaction. The study's findings contribute to expanding the literature on consumers' new technology acceptance by testing the antecedents affecting service reliability.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.778-785
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• 2021

Purpose: The study is to analyze the current status of international clinical trial information services related to COVID-19 and to find out the impact of disclosing activities of clinical trial registration on the medical and pharmaceutical industry. Method: To achieve the purpose of the study, this study analyzed the current status of 780 registered clinical trials for COVID-19 during March of 2020 by using regression analysis. Result: The analysis of clinical trial research registration information showed and proved its usefulness for the development of related new drugs, treatments, vaccines, predictive and prognostic diagnostic kits and treatments related to the COVID-19 (Corona 19) in the world. Conclusion: The study concludes and urges all medical and pharmaceutical companies to register their trials on CRIS and recommends utilizing this registered data to develop advanced drug to benefits all patients related to COVID-19.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.65-73
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• 2022

In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.