• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.1
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• pp.110-122
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• 2023

The COVID-19 pandemic increased people's time at home and caused an 80% increase in noise disputes between floors. The purpose of this study is to propose suitable materials for making indoor shoes (insoles) to minimize noise between floors. Subjects without back pain and leg-related disease (e.g. arthritis, etc.) from three different age groups (childhood, adolescence, and adulthood) were recruited for the study. Five polymer insole materials were considered: Chloroprene Rubber (CR foam), Ethylene Propylene Diene Monomer (EPDM foam), Natural Latex foam, Ethylene Vinyl Acetate (EVA foam), and Polyurethane (PU foam). From these materials, 20 combinations were prepared and randomly tested for noise and vibration. The results revealed a significant difference in noise and vibration levels based on the type of material used and the age of the subject. Nevertheless, all materials under consideration successfully reduced noise and vibration; in particular, type A-C greatly decreased. The CR foam material was especially effective at noise and vibration reduction (p<.01). This study suggests that adding insoles into socks that children wear at home could reduce noise vibration and disputes between floors.

• Journal of the Korea Safety Management & Science
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• v.25 no.1
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• pp.15-21
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• 2023

In modern society, the delivery service market has grown explosively due to rapid changes in social structure and the recent COVID-19 pandemic. Therefore, various problems such as injury to workers and an increase in human accidents are occurring due to the loading and unloading of parcels. In order to solve this problem, domestic company n is developing a "robot-based cargo loading and unloading system". In developing a new technology system, quantitative reliability targets should be set for efficient operation and development. In this paper, reliability analysis was conducted through field data for the pneumatic gripper of the "robot-based cargo loading system". The reliability of the failure data was analyzed to estimate the distribution parameters and MTTF. Random data was derived for the probability of occurrence of a failure with the estimated value. By repeating the simulation to predict the number and year of failures according to the estimated parameters of the probability distribution, it was proposed as a method that reflects realistic probabilities rather than calculating with simple arithmetic using the average MTTF previously used in the field.

• Korean Journal of Veterinary Service
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• v.46 no.1
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• pp.93-106
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• 2023

Emerging and re-emerging zoonotic viruses become critical public health, economic, societal, and cultural burdens. The Coronavirus disease-19 (COVID-19) pandemic reveals needs for effective preparedness and responsiveness against the emergence of variants and the next virus outbreak. The targeted next-generation sequencing (NGS) significantly contributes to the acquisition of viral genome sequences directly from clinical specimens. Using this advanced NGS technology, the genomic epidemiology and surveillance play a critical role in identifying of infectious source and origin, tracking of transmission chains and virus evolution, and characterizing the virulence and developing of vaccines during the outbreak. In this review, we highlight the platforms and preparation of targeted NGS for the viral genomics. We also demonstrate the application of this strategy to take advantage of the responsiveness and prevention of emerging zoonotic viruses. This article provides broad and deep insights into the preparedness and responsiveness for the next zoonotic virus outbreak.

• Fourth Industrial Review
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• v.2 no.1
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• pp.19-32
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• 2022

Purpose - As new technologies that have led the 4th industrial revolution spread after the COVID-19 pandemic, the business crisis of existing financial institutions and the threat of employee jobs are growing, especially in the financial sector. The purpose of this study is to propose a human-technology convergence curriculum for creating high value-added in financial institutions and upskilling financial manpower. Research design, data, and methodology - In this study, a curriculum was designed to strengthen job competency for Private Bankers, high-quality employees of a bank dealing with high-net-worth owners. The focus of the design is that learners acquire skills to use robo-advisors as a tool and supplement artificial intelligence ethics. Result - The curriculum is organized into a total of 16 classes, and the main contents are changes in the financial environment and financial consumers, the core technology of robo-advisors and AI ethics, and establishment and evaluation of hyper-personalized asset management strategies using robo-advisors. To achieve the educational goal, two evaluations are performed to derive individual tasks and team project results. Conclusion - Human-centered upskilling convergence education will contribute to improving employee value and expanding corporate high value-added business areas by utilizing new technologies as tools. It is expected that the development and application of convergence curriculum in various fields will continue to be advanced in the future.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.435-439
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• 2022

Many of the industry was changed because of the pandemic of covid 19. It combined with the tendency of modern people to pursue convenience. The industry of Cosmetics also changed business channel from offline to online. Before, people can not get suggestions after they complete the survey. This paper research how to suggest some cosmetics products with their skin type and skin data. We will develop Beauty Concierge system that can get suggestion after the survey. It's will make people attend activity and can make more benefit to the people.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.101-109
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• 2023

This study examined the relationships among owner-manager characteristics, e-commerce adoption, and performance of small and medium enterprises (SMEs) in Malaysia. Although the growth of e-commerce was encouraging in many countries, studies of e-commerce adoption among SMEs in developing countries such as Malaysia are insufficient. Furthermore, studies that investigated individual characteristics and e-commerce adoption are still low in number. This study specifically employed the technology-organization-environmental (TOE) framework to develop its research model. The sample was selected by using a non-probability judgmental sampling technique because the desired population frame was unavailable. A total of 111 owner-managers of SMEs were surveyed using online self-administered questionnaires. Subsequently, the data was analyzed through partial least square-structural equation modeling (PLS-SEM). The results revealed significant relationships between owner-manager characteristics and e-commerce adoption, as well as between e-commerce adoption and the performance of SMEs. The findings suggested that owner-manager characteristics played an important role in determining e-commerce adoption among SMEs. Moreover, e-commerce adoption was crucial in affecting the performance of SMEs. This paper provided new insights into factors affecting e-commerce adoption and firm performance. It could further benefit the government and SMEs in strategizing e-commerce adoption and development, especially in the era of Industrial Revolution 4.0 (IR 4.0) and the post-COVID-19 pandemic.

• Journal of dental hygiene science
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• v.22 no.1
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• pp.51-56
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• 2022

Background: The coronavirus disease (COVID-19) pandemic increased awareness regarding the importance of hand hygiene in infection prevention. Although social distancing and vaccination are the strongest ways to prevent infection, personal hand hygiene is the most basic and easiest way to maintain public health. However, in addition to hand washing using running water, sanitizing tissues, and disinfection products are convenient for hand hygiene, especially outdoors. Therefore, it is necessary to improve the appropriateness of individual hand hygiene methods. In this study, we investigated the degree of hand hygiene offered by various hygiene products and hand drying methods for maintaining hand hygiene. Methods: An LED UV light kit was used for fluorescent observation of hand contamination. Bacteria from the hands were cultured to compare the degree of hand hygiene offered by various hygiene products. Bacteria were cultured in a hand-shaped medium dish to identify areas vulnerable to hand hygiene. Moreover, the degree of hand hygiene was observed according to the drying method using bacterial cultures. Results: We confirmed that hand washing under running water with antibacterial soap, sanitizing with alcohol gel disinfectant, and wiping with antibacterial wet wipes was effective for hand hygiene compared to washing under running water alone. However, for all hygiene products, a large number of bacteria were detected on the fingertips. We verified that natural drying, rather than rubbing, is effective in maintaining hand hygiene. Conclusion: These results suggest that hand hygiene products and drying methods are critical in hand hygiene management. Therefore, these results provide a basis for determining whether an individual's hand hygiene management method is appropriate.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.325-333
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• 2022

This study examined the influence of three elements of individual entrepreneurial orientation (IEO), namely innovativeness, risk-taking, and proactiveness on the performance of small and medium enterprises (SMEs). It is worth noting that SMEs have experienced low productivity, low profit, and low performance during the COVID-19 pandemic era. Although several studies have shown that entrepreneurial orientation (EO) is a key factor of company performance, few have focused on IEO. This study employed a quantitative research design because all variables were measurable. It used a questionnaire to survey 384 SMEs in the service sector and employed structural equation modeling (SEM) in data analysis. The findings suggested that SMEs' performance was influenced by risk-taking and proactiveness. This could be related to the fact that SMEs have a less formal structure, allowing owner-managers to take risks and make quick decisions. Furthermore, high performance was ensured by being very sensitive to market trends and changes in the business environment. Innovativeness was not a significant factor in influencing the performance of SMEs. Perhaps it was rather difficult for SME owner-managers to be innovative due to the lack of various resources. This study successfully re-confirmed the effect of IEO on business performance and highlighted the importance of risk-taking and proactiveness in improving the performance of SMEs.

• Journal of Distribution Science
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• v.20 no.1
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• pp.13-26
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• 2022

Purpose: The Covid-19 pandemic has accelerated and triggered changes in online shopping especially in an emerging market. This paper develops a modification of SERVQUAL model to examine the relationship between individual dimensions of e-service quality, online trust and purchase intentions in singular online shopping platform. Research design, data and methodology: Data from an online survey of 385 Lazada's shoppers were used to test the research model. The structural equation modeling technique was performed to test the research model. Results: The analytical results revealed that five dimensions of e-service quality were positively correlated with one another whereas some dimensions were negatively correlated with purchase intentions. The results of this study provide new insight into the literature as well as practical implications for marketers especially in Thai online market. Conclusion: This study develops the instrument dimensions of e-service quality through modifying the SERVQUAL model to examine the e-commerce context and to testify how these individual dimensions are interlinked with one another. It also suggests that responsiveness has two-sided affects that in responses which are too prompt and insistent could make the customer feel uncomfortable and perhaps ending up with no interaction and transaction.

• Korean Journal of Artificial Intelligence
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• v.11 no.2
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• pp.19-27
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• 2023

In recent times, an exponential increase in Internet traffic has been observed as a result of advancing development of the Internet of Things, mobile networks with sensors, and communication functions within various devices. Further, the COVID-19 pandemic has inevitably led to an explosion of social network traffic. Within this context, considerable attention has been drawn to research on network traffic analysis based on machine learning. In this paper, we design and develop a new machine learning framework for network traffic analysis whereby normal and abnormal traffic is distinguished from one another. To achieve this, we combine together well-known machine learning algorithms and network traffic analysis techniques. Using one of the most widely used datasets KDD CUP'99 in the Weka and Apache Spark environments, we compare and investigate results obtained from time series type analysis of various aspects including malicious codes, feature extraction, data formalization, network traffic measurement tool implementation. Experimental analysis showed that while both the logistic regression and the support vector machine algorithm were excellent for performance evaluation, among these, the logistic regression algorithm performs better. The quantitative analysis results of our proposed machine learning framework show that this approach is reliable and practical, and the performance of the proposed system and another paper is compared and analyzed. In addition, we determined that the framework developed in the Apache Spark environment exhibits a much faster processing speed in the Spark environment than in Weka as there are more datasets used to create and classify machine learning models.