• Journal of Korean Library and Information Science Society
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• v.50 no.2
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• pp.169-189
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• 2019

The purpose of this study was to elicit the priority of the index of the operation evaluation of the school library, and to present measures for improvement of the evaluation index that reflects the project sites. To this end, the school library evaluation index was analyzed by applying the Analytic Hierarchy Process(AHP) analysis method to teacher librarians who are the representative personnel of the school library. According to the research, the priority of the upper tier evaluation areas was human resources, library services, information resources, library management, facilities and environment, and the priority of the lower tier evaluation items was human resource allocation, human resources expertise, reading education, information literacy education, efforts to activate education, book composition snowflake, the latest book, budget, facility access, book status, appropriateness of facilities and facilities, management plan, proximity accessibility, PR and marketing, school library steering committee, cooperation, use of materials current status. The conclusions drawn from this study could be used as basic data in the application of fieldworked school library assessment indicators.

• Journal of the Korean GEO-environmental Society
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• v.20 no.1
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• pp.19-25
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• 2019

In this present study, to evaluate the applicability of the monitoring system of the entire reservoir dam facility using the wireless sensor network system and a section representative of the domestic reservoir dam was selected as the test bed site and to operated a system that can evaluate the condition of the facility at the real time with monitoring. In order to set up a wireless sensor network system, the system assessment of present state was carried out for confirmation the risk factors and the limit values of the risk factors in limit state were calculated. The type and position of the sensor to be measured in the field were determined by setting the measurement items suitable for the hazardous area and the risk factor. In this paper, we evaluated the feasibility of the system by monitoring and constructing a wireless sensor network system in a field for a fill dam that can represent a domestic reservoir dam. Applicability evaluation was verified by comparing directly with the measurement of partial concentration method which is the measurement management technology of the dam.

• Journal of Fashion Business
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• v.23 no.2
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• pp.110-123
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• 2019

This study aims to investigate the color characteristics of female fitnesswear by analyzing the status of color usage and color arrangement method of each item of female fitnesswear of sports brands. This study targeted eight global total sportswear brands. A total of 2956 colors of female sportswear were collected and analyzed from the homepage of each brand. As a result of analyzing the color of fitnesswear, first, the overall color of the fitnesswear showed high distribution centered on PB, Bk and R of low color tone, such as p and dkg. Moreover, bright tone colors were added for vitality and functional image of sports. Second, as a result of analyzing the color of each item, commonly, the PB, Bk and R had large proportions. Third, as a result of analyzing 2-color arrangements of fitnesswear, color arrangements including achromatic color had overwhelmingly higher frequency than color arrangements that had only chromatic colors. This shows that the color arrangement using achromatic color is important and has a higher preference. Fourth, as a result of extracting the representative color arrangement as color chip and comparing, the 2-color arrangement of female fitnesswear had the characteristics of the color arrangement of large area main color and small amounts of emphasized color centered on achromatic colors of Bk and W. This study is meaningful that it can be utilized as basic data for color planning of fitnesswear brands by subdividing female fitnesswear into 4 items and analyzing the color-tone and arrangement.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.47-53
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• 2021

Sparse ratings data hinder reliable similarity computation between users, which degrades the performance of memory-based collaborative filtering techniques for recommender systems. Many works in the literature have been developed for solving this data sparsity problem, where the most simple and representative ones are the methods of utilizing Jaccard index. This index reflects the number of commonly rated items between two users and is mostly integrated into traditional similarity measures to compute similarity more accurately between the users. However, such integration is very straightforward with no consideration of the degree of data sparsity. This study suggests a novel idea of applying different similarity measures depending on the numeric value of Jaccard index between two users. Performance experiments are conducted to obtain optimal values of the parameters used by the proposed method and evaluate it in comparison with other relevant methods. As a result, the proposed demonstrates the best and comparable performance in prediction and recommendation accuracies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1321-1329
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• 2019

With the development of social information networks, the marketing methods are also changing in various ways. Unlike successful marketing methods based on existing celebrities and financial support, Influencer-based marketing is a big trend and very famous. In this paper, we first extract influencer features from more than 54 YouTube channels using the multi-dimensional qualitative analysis based on the meta information and comment data analysis of YouTube, model representative themes to maximize a personalized video satisfaction. Plus, the purpose of this study is to provide supplementary means for the successful promotion and marketing by creating and distributing videos of new items by referring to the existing Influencer features. For that we assume all comments of various videos for each channel as each document, TF-IDF (Term Frequency and Inverse Document Frequency) and LDA (Latent Dirichlet Allocation) algorithms are applied to maximize performance of the proposed scheme. Based on the performance evaluation, we proved the proposed scheme is better than other schemes.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.109-126
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• 2022

The number and variety of products and services offered by companies have increased dramatically, providing customers with more choices to meet their needs. As a solution to this information overload problem, the provision of tailored services to individuals has become increasingly important, and the personalized recommender systems have been widely studied and used in both academia and industry. Existing recommender systems face important problems in practical applications. The most important problem is that it cannot clearly explain why it recommends these products. In recent years, some researchers have found that the explanation of recommender systems may be very useful. As a result, users are generally increasing conversion rates, satisfaction, and trust in the recommender system if it is explained why those particular items are recommended. Therefore, this study presents a methodology of providing an explanatory function of a recommender system using a review text left by a user. The basic idea is not to use all of the user's reviews, but to provide them in a summarized form using only reviews left by similar users or neighbors involved in recommending the item as an explanation when providing the recommended item to the user. To achieve this research goal, this study aims to provide a product recommendation list using user-based collaborative filtering techniques, combine reviews left by neighboring users with each product to build a model that combines text summary methods among deep learning-based natural language processing methods. Using the IMDb movie database, text reviews of all target user neighbors' movies are collected and summarized to present descriptions of recommended movies. There are several text summary methods, but this study aims to evaluate whether the review summary is well performed by training the Sequence-to-sequence+attention model, which is a representative generation summary method, and the BertSum model, which is an extraction summary model.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.557-566
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• 2022

This study aims to investigate Jinju silk companies, production items, and silk industry supporting projects from 2019 to 2021 in order to discuss the current status of the silk industry. The following are this study's methods: First, a list of Jinju silk companies that have been operating for the past three years (2019-2021) was prepared to investigate the current status of the Jinju silk industry. Second, an investigation was conducted into the representative products produced in Jinju over the past three years; this investigation was conducted using direct interview. Third, an investigation was conducted on the projects that supported the Jinju silk industry over the past three years, and the list of members of the Gyeongnam Textile and Jinju Silk Industry Cooperative Association-a facility of Gyeongsangnam-do Province, the Jinju City Hall brochure (2019), and the SMINFO(SMall business status INFOrmation System) were utilized for this purpose. The following are the results: First, Jinju silk companies are classified into four categories, namely weaving, dyeing, twisting, and designing companies. According to data from 2021, 83% (34 of 41) of silk companies were weavers. Second, the demand for solid fabrics has increased over the past three years. The demand for patterned jacquard fabrics in producing Hanbok and Western-style clothing has decreased. Third, support for the Jinju silk industry could be classified into five categories: support for the operation of silk research institutions, support for the diversification of Jinju silk, support for the promotion of Jinju silk, support for the operation of silk manufacturers, and others.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.507-514
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• 2021

K University of engineering college awarded degrees to workers for major of electrical and electronics in the degree-linked work-study parallel system for the first time in February 2020. In this study, the progressed process to the stage of producing group graduation works for graduates and completing the results in an engineering thesis system were presented. The questionnaire consisting of 39 questions was conducted with the subjects, and the results of the responses were compared and analyzed with the results of full-time students in the same major who graduated in the same year. Statistical analysis was attempted by dividing the five representative response questions by group, but the number of people in each group was less than 30, so the normality test of response results and statistical analysis by parametric methods were limited. However, it was judged that a one-sample t-test was possible. Focusing on this method, it was confirmed that there was a difference of 0.8 points or more between the groups on an average 5-point scale in response items related to the number of changes in the subject of the work, the satisfaction among the members, and the effort to guide the work. And the measures to deal with these differences were suggested.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.4
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• pp.103-111
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• 2022

Purpose : In recent years, essential oils have been produced using natural extracts for various uses. Their functionality is currently being tested not only for cosmetics and perfumes but also for other categories of products. Therefore, this study verified their antibacterial effects on S. mutans, P. gingivalis, and L. gasseri which are the representative strains that cause oral diseases. Methods : Eighteen types of natural essential oils were made at a concentration of 50 % (v/v) using Tween 20, and their antibacterial effects were verified by applying S. mutans, P. gingivalis, and L. gasseri. The antibacterial effects were measured with the disc diffusion method. All the experiments were repeated three times, and the mean value of three measurement values for each variable was used for data analysis. A one-way analysis of variance was conducted using these mean values. Results : Of the eighteen types of essential oils tested, sixteen types showed antibacterial effects on S. mutans, and sixteen and fifteen types exhibited antibacterial effects on P. gingivalis and L. gasseri respectively. The types of essential oils with high-level antibacterial activities were geranium, may chang, and bergamot for S. mutans, lemongrass, bergamot, and eucalyptus for P. gingivalis, and lemongrass, machan, and geranium for L. gasseri in order of antibacterial effect. This result was statistically significant (p<.001). In addition, in the case of mandarin oil, it was found that there was no antibacterial activity in all three strains. Conclusion : This study proved the antibacterial activities of essential oils, which are used for various purposes in daily life, against dental caries and periodontal diseases. The study results will likely be applied to different prevention programs for oral health and broadly used to develop products such as oral care items and dentifrices.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.171-184
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• 2023

FinTech, which has brought innovation to the financial industry thanks to the advancements in ICT since 2010, has contributed to the growth of the financial ecosystem and increased consumer benefits. Furthermore, there has been a growing demand for social responsibility and sustainability in financial institutions, which have a significant impact on governments, businesses, and people's lives. Despite this, many FinTech companies and traditional financial institutions are still in the early stages of establishing ESG (Environmental, Social, and Governance) management philosophy or lack long-term plans. In this study, we aim to examine the impact of ESG management on the FinTech industry, focusing on representative domestic cases, and derive policy and institutional measures to spread it in the financial industry. Specifically, we will adopt MSCI rating indicators, which are internationally accepted by various industries such as manufacturing, healthcare, and transportation, to evaluate the 35 ESG management subcategories of FinTech companies. As a result, a total of 22 compliance items were disclosed in the ESG report, and it was possible to confirm the detailed management. Through this, we intend to propose effective management strategies for the organizational structure, operations, programs, and performance evaluation of FinTech companies, which are positioning themselves as sustainable growth drivers in the domestic industry.