• International Journal of Internet, Broadcasting and Communication
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• 제14권4호
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• pp.20-35
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• 2022

COVID-19 vaccines have been developed worldwide in order to prevent the spread of coronavirus infection-19, but some people tend to refuse to be vaccinated against COVID-19. Therefore, we will investigate how people's understanding of COVID-19 vaccines affects their attitude to accept COVID-19 vaccination information. Therefore, the purpose of this study is to examine the determinants that affect the acceptability of COVID-19 vaccine through the informational characteristics of COVID-19 vaccine and the individual health belief theory. This study conducted an offline survey of 215 adult men and women living in Seoul and Gyeonggi-do Province during the period from September 1 to September 10, 2022, and we have conducted a final analysis using a total of 212 questionnaires. The results of our study were as follows. First, among the information characteristics of COVID-19 vaccine, it was confirmed that the amount of information had a significant positive effect on susceptibility, severity, and barriers in health belief theory, respectively. Second, among the information characteristics of COVID-19 vaccine, it was found that the quality of information had a significant positive effect on the susceptibility in health belief theory. Third, susceptibility and barriers in the health belief theory significantly had a positive effect on voluntary attitude and involuntary attitude in acceptance attitude, respectively. And finally, it was found that the severity of the health belief theory had a positive effect on the involuntary attitude in acceptance attitude. The results of this study suggest that policy efforts are needed to make accurate information about COVID-19 vaccine known to the people.

• 4차산업연구
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• 제3권1호
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• pp.13-20
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• 2023

Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

• 융합경영연구
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• 제11권1호
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• pp.21-30
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• 2023

Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

• 공학교육연구
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• 제25권5호
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• pp.75-84
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• 2022

In the post-Corona era, blended learning will be one of the most important instructional strategies for successful education. The purpose of this study is to examine reliability and validity of the instrument developed in the instructional aspect so that a successful blended learning can take place. This instrument consists of 31 items to evaluate class operation, online learning environment, online contents, offline class, interaction and overall satisfaction. For this study, a survey was conducted in LMS and the responses of 164 students were used for analysis. Confirmatory factor analysis was used to evaluate validation of this instrument and this analysis was run in R studio. As a result of CFA, the standardized factor loadings of all items were 0.930~0.754 and the reliability and validity of all constructs were adequate. The results of this instrument enable universities to manage the quality of their classes and instructors can use them as self-checklist to improve future classes in terms of instructional points. Finally, this instrument can be used in a variety of learner-centered learning environments.

• 한국유기농업학회지
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• 제31권1호
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• pp.1-27
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• 2023

This study investigated Thai consumers' perception and willingness to pay for Korean paprika and tomatoes to establish effective export strategies, To this end, an online survey was conducted on 300 consumers living in Bangkok, Thailand, and the factors affecting the purchase intent and willingness to pay price premium for Korean paprika and tomatoes were analyzed. The results are as follows. First, Thai consumers usually buy fruit and vegetables offline, such as supermarkets and large discount stores, but not a few respondents obtained purchase information online. Second, the price competitiveness of Korean paprika and tomatoes is low to Thai products, and the quality, safety, freshness, and cost-effectiveness are similar or low to other exporting countries. Therefore it is important to improve non-price competitiveness using positive perceptions of Korean products and Korean Wave. Third, the most important reason why Thai consumers not buying Korean paprika and tomatoes is the lack of stores and high prices. Fourth, as a result of analyzing the factors affecting the purchase intent for Korean paprika and tomatoes, the strategy of selling paprika and tomatoes through supermarkets to consumers with high income is effective. Fifth, considering the factors of willingness to pay premium prices for Korean paprika and tomatoes, a high pricing strategy targeted consumers with high income and many family members is appropriate.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권9호
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• pp.2573-2589
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• 2023

As 5G mobile systems carry multiple services and applications, numerous user, and application types with varying quality of service requirements inside a single physical network infrastructure are the primary problem in constructing 5G networks. Radio Access Network (RAN) slicing is introduced as a way to solve these challenges. This research focuses on optimizing RAN slices within a singular physical cell for vehicle-to-everything (V2X) and enhanced mobile broadband (eMBB) UEs, highlighting the importance of adept resource management and allocation for the evolving landscape of 5G services. We put forth two unique strategies: one being offline network slicing, also referred to as standard network slicing, and the other being Online reinforcement learning (RL) network slicing. Both strategies aim to maximize network efficiency by gathering network model characteristics and augmenting radio resources for eMBB and V2X UEs. When compared to traditional network slicing, RL network slicing shows greater performance in the allocation and utilization of UE resources. These steps are taken to adapt to fluctuating traffic loads using RL strategies, with the ultimate objective of bolstering the efficiency of generic 5G services.

• 유통과학연구
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• 제22권1호
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• pp.115-125
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• 2024

Purpose: This study is to analyze the purchasing process and distribution management requirements for teaching materials that have important meaning in the practical field of preschool education. Research design, data and methodology: A structured questionnaire was used to survey 103 childcare staffs regarding the purchasing process and distribution managements. The collected data underwent Likert's 5-point scale analysis and keyword grouping. Additionally, ANOVA was conducted to examine the distribution management demands based on demographic characteristics. Results: The purchasing of teaching materials involved more offline channels than online, and the purchase decisions were predominantly made by principals rather than teachers. Although the purchasing process is similar to that of general businesses, there are difficulties in purchasing due to the disorganized distribution channels and limited accessibility to product information. Additionally, the management of inventory for teaching materials is challenging due to limited personnel and storage. Childcare staffs have requirements for classification systems, evaluation criteria, environments and policies related to teaching materials distribution. The need to introduce a teaching material evaluation and certification system to ensure quality was not high. Conclusions: Most of the respondents recognized that strict management and measures should be taken for the distribution of teaching materials. There were differences in the demand of teaching material distribution depending on the respondents' status, age, education, and experience.

• ETRI Journal
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• 제46권4호
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• pp.648-659
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• 2024

Author verification is challenging because of the diversity in writing styles. We propose an enhanced handwriting verification method that combines handcrafted and automatically extracted features. The method uses a genetic algorithm to reduce the dimensionality of the feature set. We consider offline Bangla handwriting content and evaluate the proposed method using handcrafted features with a simple logistic regression, radial basis function network, and sequential minimal optimization as well as automatically extracted features using a convolutional neural network. The handcrafted features outperform the automatically extracted ones, achieving an average verification accuracy of 94.54% for 100 writers. The handcrafted features include Radon transform, histogram of oriented gradients, local phase quantization, and local binary patterns from interwriter and intrawriter content. The genetic algorithm reduces the feature dimensionality and selects salient features using a support vector machine. The top five experimental results are obtained from the optimal feature set selected using a consensus strategy. Comparisons with other methods and features confirm the satisfactory results.

• 대기
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• 제26권1호
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• pp.35-45
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• 2016

Initialization of the global seasonal forecast system is as much important as the quality of the embedded climate model for the climate prediction in sub-seasonal time scale. Recent studies have emphasized the important role of soil moisture initialization, suggesting a significant increase in the prediction skill particularly in the mid-latitude land area where the influence of sea surface temperature in the tropics is less crucial and the potential predictability is supplemented by land-atmosphere interaction. This study developed a new soil moisture initialization method applicable to the KMA operational seasonal forecasting system. The method includes first the long-term integration of the offline land surface model driven by observed atmospheric forcing and precipitation. This soil moisture reanalysis is given for the initial state in the ensemble seasonal forecasts through a simple anomaly initialization technique to avoid the simulation drift caused by the systematic model bias. To evaluate the impact of the soil moisture initialization, two sets of long-term, 10-member ensemble experiment runs have been conducted for 1996~2009. As a result, the soil moisture initialization improves the prediction skill of surface air temperature significantly at the zero to one month forecast lead (up to ~60 days forecast lead), although the skill increase in precipitation is less significant. This study suggests that improvements of the prediction in the sub-seasonal timescale require the improvement in the quality of initial data as well as the adequate treatment of the model systematic bias.

• 디지털융복합연구
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• 제13권1호
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• pp.67-76
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• 2015

본 연구의 목적은 독거노인의 욕구를 지원하기 위한 ICT기반 독거노인복지서비스의 역할을 정립하는 것이다. 독거노인은 고령화가 가속됨에 따라 2010년 102만 가구로 증가 추세이며 정신적, 사회적, 경제적인 어려움 등으로 인해 사회문제로 대두되었다. 본 연구는 기존 시행된 6개 부처의 85개 노인복지서비스와 향후 제공가능 한 114개 ICT기반 복지서비스를 조사하였다. 이들 서비스를 Maslow의 욕구분류체계에 따라 유형화하고 오프라인, 온라인, 온오프라인병행 서비스로 구분하였다. 연구의 결과는 안전욕구(의료 건강), 자아실현욕구(여가 문화) 서비스에 집중되어 있고 자존욕구 서비스는 저조한 것으로 나타났다. ICT기반 노인복지서비스를 통해 환경개선, 일자리 확대, 독립적인 일상생활지원 서비스는 개선이 가능하고 심리/정서지원 서비스 등은 추가 발굴이 필요하다는 것을 알 수 있었다. 본 연구결과로 현재 제공되는 서비스의 편중은 완화하고 부재는 보완하는 등 ICT기반 수요자 중심 노인복지서비스를 통해 독거노인의 삶의 질을 향상시킬 수 있을 것이다.