• Journal of Digital Convergence
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• v.18 no.12
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• pp.69-79
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• 2020

This study is to explore factors to consider for effective operation of synchronous online education in college. Synchronous online education is expanding in higher education. However, there is insufficient to comprehensively identify key components based on the learners' experience and perception. Using qualitative analysis on content of group interview and multidimensional scale analysis, the experience and perception of learners were identified. For the effective operation, interaction should be considered important, and rapport between learners needs to be built. In addition to improving the system in which activity tools are integrated, instructors should play mainly facilitator role, and learners have to manage the environment for immersion. For the types of online education, learners were divided into the dimension of 'activity' and 'temporality'. Further, it is to develop optimized design strategies considering its characteristics.

• Korean Journal of Clinical Pharmacy
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• v.31 no.4
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• pp.301-310
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• 2021

Background: Trust is a key component for the good relationship between patients and healthcare professionals but trust for community pharmacists has not been studied much. Objectives: This study aimed to measure public trust in community pharmacists and to investigate variables that affect trust level in South Korea. Methods: A total of 25 questions, including 13-items for three dimensions of trust (pharmacists' behavior/attitude, technical competence, communication skills) and 1-item for overall trust were developed. The survey was conducted online and the data from 416 respondents were analyzed with a t-test, an ANOVA and a multiple linear regression analysis. Results: The average scores (mean ± standard deviation) for the three dimensions of trust in community pharmacists were 3.47±1.05 (out of 5 points) for pharmacists' behavior/attitude, 3.67 ± 0.99 for technical competence, and 3.66±0.99 for communication skills. The average of the 13 items incorporating all parameters was 3.56±1.02 and the overall trust level was 7.16±1.62 (out of 10 points). The total sum of the 13 items differed significantly by age group (p=0.02) and frequency of pharmacy visits (p=0.04). Each dimension had an independent impact on the trust level, and pharmacists' behavior/attitude had the greatest impact on trust levels. Conclusions: This study showed that pharmacists' behavior/attitude had the most significant impact on the trust level. However, the level of trust in pharmacists' behavior/attitude is not yet sufficiently satisfactory, and further improvements are required to increase trust in community pharmacists.

• Journal of Korean Academy of Dental Administration
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• v.9 no.1
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• pp.38-43
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• 2021

Based on data from the Korean Academy for Dental Administration, which has been conducting the Dental Quality Improvement (QI) Contest since 2010, we aimed to provide basic data for the development of dental quality improvement indicators by analyzing the trends of dental quality improvement activities. A total of 54 articles in the dental QI contest from 2015 to 2021 were used to search for frequently used words and to classify the quality of dental care. The criteria for the quality dimension of dental care were first classified into structure, process, and outcome, and secondary classification was performed into patient safety, timeliness, patient-centeredness, equity, efficiency, effectiveness, and accessibility. The frequently used key terms were satisfaction (five times), efficiency (four times), system (three times), and implant (three times). The activities for process evaluation were high at 62.26%, structural evaluation activities at 35.85%, and outcome evaluation activities at 1.89%. According to the components of dental care quality improvement, the activity performed under efficiency was the highest (33.96%), followed by patient-centeredness (18.87%), effectiveness (16.98%), patient safety (15.09%), accessibility (5.66%), timeliness (1.89%), and the equity (1.89%). QI activities in dental hospitals were mainly activities on improvement in structure and process, as well as activities on efficiency, patient-centeredness, effectiveness, and patient safety.

• The Korean Journal of Applied Statistics
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• v.35 no.5
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• pp.667-684
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• 2022

Gene expression data present the level of mRNA abundance of each gene, and analyses of gene expressions have provided key ideas for understanding the mechanism of diseases and developing new drugs and therapies. Nowadays high-throughput technologies such as DNA microarray and RNA-sequencing enabled the simultaneous measurement of thousands of gene expressions, giving rise to a characteristic of gene expression data known as high dimensionality. Due to the high-dimensionality, learning models to analyze gene expression data are prone to overfitting problems, and to solve this issue, dimension reduction or feature selection techniques are commonly used as a preprocessing step. In particular, we can remove irrelevant and redundant genes and identify important genes using gene selection methods in the preprocessing step. Various gene selection methods have been developed in the context of machine learning so far. In this paper, we intensively review recent works on gene selection methods using machine learning approaches. In addition, the underlying difficulties with current gene selection methods as well as future research directions are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.5
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• pp.848-867
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• 2022

As an emerging market with rapid economic growth, while being a key region of the K-culture expansion, Vietnam draws increasing scientific attention. This study focuses on the MZ generation, Vietnam's leading consumer group, revealing their consumption value structure. An online survey was used for data collection purposes, investigating 368 Vietnamese consumers between 18-37 years of age. Six value dimensions were derived as results of the present analysis: functional, emotional, social, ethical, self-expression, and autonomy-oriented value. Among them, functional value includes two sub-dimensions of utility and price, while emotional value entails three sub-dimensions, namely hedonism, novelty, and aesthetics. 'Self-expression value' and 'autonomy-oriented value', reflecting the characteristics of the MZ generation, who actively express themselves and respect proactive decision-making, are becoming important standards of the consumption attitude of young Vietnamese. Moreover, the pursuit of 'novelty' was derived as a factor reflecting emotional values, revealing an association between hedonic consumption, and seeking for newness and difference. Furthermore, the relationships between each consumption value dimension, respective demographic characteristics, and global consumption propensity were investigated. The present findings aim to provide insights into young Vietnamese consumers' attitudes and intend to serve as a foundation for future research.

• Journal of the Korean Society of Radiology
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• v.17 no.1
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• pp.141-148
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• 2023

The algebraic reconstruction technique is one of the reconstruction methods in CT and shows good image quality against noise-dominant conditions. The number of iteration is one of the key factors determining the execution time for the algebraic reconstruction technique. However, there are some rules for determining the number of iterations that result in more than a few hundred iterations. Thus, the rules are difficult to apply in practice. In this study, we proposed a method to determine the number of iterations for practical applications. The reconstructed image quality shows slow convergence as the number of iterations increases. Image quality 𝜖 < 0.001 was used to determine the optimal number of iteration. The Shepp-Logan head phantom was used to obtain noise-free projection and projections with noise for 360, 720, and 1440 views were obtained using Geant4 Monte Carlo simulation that has the same geometry dimension as a clinic CT system. Images reconstructed by around 10 iterations within the stop condition showed good quality. The method for determining the iteration number is an efficient way of replacing the best image-quality-based method, which brings over a few hundred iterations.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.139-148
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• 2009

In this paper, I propose an automatic analysis method of golf swine from single-camera video sequences. I define necessary swing features for automatic swing analysis in 2-dimensional environment and present efficient swing analysis methods using various image processing techniques including line and edge detection. The proposed method has two characteristics compared with previous swing analysis systems and related studies. First, the proposed method enables an automatic swing analysis in 2-dimension while previous systems require 3-dimensional environment which is relatively complex and expensive to run. Second, swing analysis is done automatically without human intervention while other 2-dimensional systems necessarily need analysis by a golf expert. I tested the method on 20 swing video sequences and found the proposed method works effective for automatic analysis of golf swing.

• Journal of Service Research and Studies
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• v.11 no.3
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• pp.31-42
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• 2021

This study is a study on theoretical considerations on industrial design data in the era of data economy. This study aims to illuminate the value of industrial design data, interpret the meaning of the transition from design management to the design data era, and highlight the importance of literacy to interpret data for designers. The scope of research approaches the R&D capability dimension of a company to explore the industrial value of design. It limits the scope of research from an industrial point of view rather than the humanistic basis and aesthetic value of design. As a result of the study, it was found that the value of industrial design data is not in ex post evaluation, but in customer-oriented market prediction, and that the design industry data-led strategy is important. The key point is that the industrial design data issues of large companies and SMEs are different, the direction of industrial design data should be to support customer-centered decision making in the product/service development of companies, and the core competency is the amount of data or tools and technologies to handle it. No, it should be in data literals. Lastly, if the use of industrial design data is to be strengthened, management of the public level rather than the personal level of data management should be preceded.

• The Journal of Korean Academy of Prosthodontics
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• v.61 no.4
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• pp.356-366
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• 2023

Support, retention, and stability of dentures are key factors in the use of complete dentures in edentulous patients. With the development of digital dentistry, attempts are being made to replace traditional treatment methods. Also, struggle to reduce the number of patient visits and to manufacture high-quality digitally fabricated dentures are ongoing. In this case, a digital denture was restored using a tray capable of obtaining centric relation through gothic arch tracing and a facial scan. By replacing the traditional complete denture restoration method, the number of patient visits was reduced and esthetic results with satisfactory denture support, retention, and stability were obtained.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.264-270
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• 2024

In the construction industry, steel structures are prominent due to their exceptional strength and high bearing capacity, making them resilient against natural calamities. However, the stability and overall structural integrity of these steel structures depend significantly on the precision of the individual steel members used. Presently, the dimensions of these steel members are typically measured manually using mechanical instruments such as steel tape and vernier calipers. This conventional approach is not only time-consuming but also highly vulnerable to human error. Consequently, there is a growing need for more accurate and reliable methods for assessing the dimensions of steel members. This paper aims to measure the dimensions of key checklists of the cross-section surface of the steel H-beams using Terrestrial Laser Scan (TLS) data. This study involves the automatic extraction of scan points associated with the cross-section surface of the H-beam members using RANSAC. By the end, an algorithm was developed to predict the actual edge points belonging to the boundary of the extracted surface and introduced an edge loss compensation model to compensate the losses occurred due to uncertainties. Experimental evaluations were conducted using various scan data collected from steel H-beam and the measured dimensions were subsequently compared with manual measurements and dimensions obtained through the previously proposed method, demonstrating that the measurements meet 1mm accuracy and are within the allowable tolerance range followed in industry. This research underscores the efficiency and reliability of the introduced approach, offering a promising solution to enhance the dimensional quality assessment of steel H-beams in the construction industry.