• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.111-135
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• 2018

A vision and a medium-to-long-term master plan are key factors for the Constitutional Court Library to improve users' access to legal information and provide better legal information services as the leading public law library in Korea in 2019. For this point, it is a priority task to set a vision and goals and to identify the core values of Constitutional Court Library. In this study, the four core values of the Constitutional Court Library identified through the analysis of the library's internal and external environment, the analysis of the core values of similar institutions. The four core values derived from the study are Expertise, Communication & Universality, Cooperation, and Innovation, and when these values are reflected in library operation, system and policy, the Constitutional Court Library is expected to further solidify its position as the nation's top law library.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.909-923
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• 2018

Online retailers' offline channel expansion is rapidly growing as an important consumer incentive strategy, despite the enormous initial costs of establishing a store. This study focuses on the offline channel operation of online shopping malls, and examines the effects and influencing factors of the channel expansion strategy from a consumer perspective. In-depth interviews were conducted with ten customers in their 20s and 30s who had visited online retailers' stores or purchased products. Major issues were extracted based on the framework of a channel effect mechanism proposed by Cao and Li (2015). Subsequently, it was found that existing online retailers could enhance brand image and perception by expanding their channels to offline stores. It was also emphasized that the consumer trust on the quality of the product in offline stores is a key variable, and it has a significant influence on consumer's continuous purchase and revisit intention. This study showed that borderless channel integration was the most important task when expanding channels of online retailers. So it will be necessary to strive for an omni-channel strategy so that channel integration can be strategically executed and consumers can interact regardless of channels.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.1-9
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• 2021

Recently, new types of security crimes have been steadily occurring in Korea due to environmental changes such as the development of IT technology, and responding to these threats has become a key national task for the establishment of a safe society as well as individuals and businesses. Meanwhile, as the Zero-Contact Era has arrived since the COVID-19 Pandemics, a new convergence security threat that combines the characteristics of the Zero-Contact Era with the existing IT development is threatening our society. Research to prevent and correct these new levels of threats is continuously required in this study. Chapter 1 examined the causes of new convergence security threats and Chapter 2 discussed cybersecurity, fake news, remote voting·work and video security threats as five major threats.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.121-129
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• 2022

This study explored effective teaching-learning activities under the hybrid teaching model combining flipped learning, direct instruction, cooperative learning and distance learning. Subjects were 99 college students enrolled in 2 teacher preparation courses. Students evaluated effectiveness of 22 teaching-learning activities according to Likert scale at the end of the semester. As a result, all 22 teaching learning activities were considered effective more or less. They facilitated motivation, comprehension, participation, thinking, and led to mastery of the task. ② Activities scored low were 'questioning and answering at the beginning of online class', 'open book test'. ③ Hybrid teaching model was favored over traditional instruction. Open ended responses were consistent with the ones in the questionnaire. This research supports the notion that key teaching models to be combined for successful flipped learning in college setting are direct instruction and cooperative learning. Furthermore, effective and ineffective teaching strategies for flipped learning were found.

• Journal of Internet Computing and Services
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• v.23 no.1
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• pp.11-17
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• 2022

Data mining is the task of accessing useful information from a large capacity of data. It can also be referred to as searching for correlations that can provide clues about the future in large data warehouses by using computer algorithms. It has been used in the tourism field for marketing, analysis, and business improvement purposes. This study aims to analyze the tourist profile in Turkey through data mining methods. The reason relies behind the selection of Turkey is the fact that Turkey welcomes millions of tourist every year which can be a role model for other touristic countries. In this study, an anonymous and large-scale data set was used under the law on the protection of personal data. The dataset was taken from a leading tourism company that is still active in Turkey. By using the k-means clustering algorithm on this data, key parameters of profiles were obtained and people were clustered into groups according to their characteristics. According to the outcomes, distinguishing characteristics are gathered under three main titles. These are the age of the tourists, the frequency of their vacations and the period between the reservation and the vacation itself. The results obtained show that the frequency of tourist vacations, the time between bookings and vacations, and age are the most important and characteristic parameters for a tourist's profile. Finally, planning future investments, events and campaign packages can make tourism companies more competitive and improve quality of service. For both businesses and tourists, it is advantageous to prepare individual events and offers for the three major groups of tourists.

• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.75-80
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• 2022

In modern society, the organization of the educational process plays an important role in education. Traditionally, it is through communication and dialogue between the teacher and the student that professional competence is acquired. As society develops, the demand in the global labor market changes and the requirements and criteria for specialists increase. Therefore, a new approach to managing the pedagogical interaction between a teacher and a student in the process of education in a higher educational institution allows a positive impact on the system of training specialists and opens up new prospects for the formation of competitive specialists. The issue of the quality of education is a key one and is covered in the documents regulating the process of educational activities. Also an important problem today is the transition to qualitatively new and innovative systems of training specialists and the departure from outdated models of managing pedagogical interaction in higher education institutions. The process of managing the pedagogical interaction between a teacher and a student is one of the most important for studying in the context of higher education. Thus, the main task of the study is to analyze the role of communication and dialogue during studies in higher education. As a result of the study, current trends and prerequisites for communication and dialogue tools during studies in higher education

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.16-37
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• 2022

Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.55 no.2
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• pp.183-188
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• 2022

It is a difficult task to estimate parameters in even a simple stock assessment model such as a surplus production model, using only data about temporal catch-per-unit-effort (CPUE) (or survey index) and fishery yields. Such difficulty is exacerbated when time-varying parameters are treated as random effects (aka state variables). To overcome the difficulty, previous studies incorporated somewhat subjective assumptions (e.g., B₁=K) or informative priors of parameters. A key is how to build an objective joint prior of parameters, reducing subjectivity. Given the limited data on temporal CPUEs and fishery yields from 1999-2020 for common squid Todarodes pacificus, we built a joint prior of only two parameters, intrinsic growth rate (r) and carrying capacity (K), based on the resilience level of the population (Froese et al., 2017), and used a Bayesian state-space production assessment model. We used template model builder (TMB), a R package for implementing the assessment model, and estimating all parameters in the model. The predicted annual biomass was in the range of 0.76×10⁶ to 4.06×10⁶ MT, the estimated MSY was 0.13×10⁶ MT, the estimated r was 0.24, and the estimated K was 2.10×10⁶ MT.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.31-36
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• 2022

In modern socio-cultural conditions, the requirements for the quality of professional training of graduates of higher educational institutions are increasing. This issue has become especially acute with the advent of pandemic conditions. The ability to apply the existing competencies in the situation of challenges of the 21st century to solve complex social and professional problems is an important criterion for the quality of higher education. Modern professional art education is undergoing many reforms and transformations. Particular attention is paid to innovative teaching methods, thanks to which future specialists experience the breath of innovative education. This issue is especially relevant during the spread of the COVID-19 pandemic. Since students of creative specialties must also have certain competencies, within the framework of the educational process, the competence-based approach to teaching plays a key role, is the methodological basis in the system of modernization of higher professional art education. Thus, the main task of the study is to analyze the process of formation of professional competence among students of art institutions of higher education in the context of COVID-19. As a result of the study, the main aspects of the process of formation of professional competence among students of art institutions of higher education in the context of COVID-19 were investigated.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.2
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• pp.232-249
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• 2022

As the postsecondary school-age population continues to decline, the competition among universities to attract potential students has intensified. As an alternative, we propose to introduce a collaborative marketing strategy to universities to gain the attention of precollege students and parents. This study examines perceived fit, the prestige of university and fashion brands, consumption values, and the category of fashion brands in the context of collaboration between university identity and fashion brands. Utilizing an online survey, we collected 391 responses. The results indicate that perceived fit between universities and fashion brands has a significant impact on the purchase intention of collaborative university merchandise. In addition, the prestige of fashion brands plays a key role, while the prestige of universities has no direct effect on purchase intention. However, the indirect effect of university prestige on purchase intention mediated by perceived fit is significant. Also, this study confirms that social value and emotional value have significant impacts on purchase intention. These findings present a guideline for selecting a collaborative partner, which is the most important task in a collaboration strategy. Finally, merchandising strategies reflected consumption values based on precollege students and their parents' needs are proposed.