• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.709-718
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• 2019

A lightweight block cipher CHAM designed for suitability in resource-constrained environment has reasonable security level and high computational performance. Since this cipher may contain intrinsic weakness on side channel attack, it should adopt a countermeasure such as masking method. In this paper, we implement the masked CHAM cipher on 32-bit microprosessor Cortex-M3 platform to resist against side channel attack and analyze their computational performance. Based on the shortcoming of having many round functions, we apply reduced masking method to the implementation of CHAM cipher. As a result, we show that the CHAM-128/128 algorithm applied reduced masking technique requires additional operations about four times.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.825-836
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• 2019

The drone-type base station will be an optimal platform as a way of information sharing for efficient operation of the military force due to their high network flexibility. It is expected that the characteristics of the drone-type base station which would freely adjust the altitude can be used to offset the propagation attenuation characteristics of the millimeter-wave frequency band by securing the stable Line of Sight. In this paper, we proposed a framework for evaluation drone-type base station that can be utilized as a future military communication network by performing modeling for performance analysis that can reflect various factors.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.2
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• pp.23-36
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• 2021

Makerspace offers an innovative way for university libraries to render services and achieve its core objectives. However, there is low level of adoption in Nigerian university libraries, hence the need to investigate the personnel's perception towards makerspace as an innovative learning platform. To achieve this, the descriptive research design was used to elicit data with the aid of a structured questionnaire, from the 96 library personnel in John Harris Library, University of Benin. Of the 96 copies of questionnaire distributed, 68 copies were returned and analyzed using descriptive statistics. The results showed that the library personnel were familiar with makerspace even though they still require more information about it. Also, that makerspace gives students the opportunity to acquire ew skill and enhances collaboration among learners. Moreover, the study revealed that budget constraints, high cost and maintenance of equipments, erratic power supply and lack of staff training are some of the perceived challenges to makerspace implementation. Consequently, the study revealed that university libraries should strategize on how to increase allocation of funds, organize makerspace webinar for personnel, ensure stable electricity supply and create a dedicated space for makerspace in the library. In conclusion, makerspace will provide students with the technological exposure and creative abilities required for the future, and as such effective planning should be made for its deployment and sustainability in Nigerian university libraries.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.41-52
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• 2022

This paper analyzes the advantages and opportunities of regional development prospects of the China (Anhui) Pilot Free Trade Zone. In addition, it provides suggestions for the future development of the Anhui Pilot Free Trade Zone. The establishment of the Anhui Pilot Free Trade Zone is a major platform for Anhui Province, China, to serve the nation's opening-up strategy to the world and an opportunity for the Anhui region to enhance the level of an open economy. The development plan points out that the Anhui Pilot Free Trade Zone 1) takes institutional innovation as the core, 2) complies with the requirements of the innovation-driven development and promotion of the Yangtze River Delta regional integration development strategy, and 3) plays a vital node role in promoting the construction of the Belt and Road Initiative, and 4) accelerates the construction of scientific and technological innovation sources, advanced manufacturing and strategic emerging industries. The findings of this study highlight three critical achievements as follows: 1) optimization and improvement of the business environment have progressed, 2) the conversion rate of scientific and technological innovation achievements has increased, and 3) advanced high-tech manufacturing and strategic emerging industries are clustered and developed.

• Journal of Applied Biological Chemistry
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• v.65 no.3
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• pp.159-166
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• 2022

Epicoccum nigrum produces epipyrone A (orevactaene), a yellow polyketide pigment. Its biosynthetic gene cluster was previously characterized in E. nigrum KACC 40642. The YES liquid culture of this strain revealed high-level production of epicoccamide (EPC), with an identity that was determined using liquid chromatography-mass spectrometry analysis and molecular mass search using the SuperNatural database V2 webserver. The production of EPC was further confirmed by compound isolation and nuclear magnetic resonance spectroscopy. EPC is a highly reduced polyketide with tetramic acid and mannosyl moieties. The EPC structure guided us to localize the hypothetical EPC biosynthetic gene cluster (BGC) in E. nigrum ICMP 19927 genome sequence. The BGC contains genes encoding highly reducing (HR)-fungal polyketide synthase (fPKS)-nonribosomal peptide synthetase (NRPS), glycosyltransferase (GT), enoylreductase, cytochrome P450, and N-methyltrasnferase. Targeted inactivation of the HR-fPKS-NRPS and GT genes abolished EPC production, supporting the successful localization of EPC BGC. This study provides a platform to explore the hidden biological activities of EPC, a bolaamphiphilic compound.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.108-119
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• 2023

Instatoon is a type of webtoons distributed through Instagram, but in the process of advancement of the webtoon industry, it shows the possibility of diversifying into a new genre that meets creativity, and diversity beyond uniform commercial webtoons. Since it does not go through a large platform, the content is freely composed. In addition, it is differentiated from other types of webtoons because in many cases artists create instatoon by adding entertaining elements into their real-life stories rather than drawing fictional ones. Furthermore, instatoons are free to enjoy, satisfaction level is high, but in most cases, even if there is a complaint, readers just enjoy webtoons without expressing it. We aimed to find out how the service quality characteristics of these instatoons affect behavioral intentions through the coexistence of satisfaction and dissatisfaction of readers, and meaninful results were found through empirical analysis. We discusses factors affecting the spread of Instatoons, including readers' satisfaction and dissatisfaction, the importance of relatability, good directing, and informativeness. The study emphasizes the need to approach maintaining existing readers and attracting new ones separately, and to manage readers effectively in the future.

• Educational Technology International
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• v.18 no.2
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• pp.193-213
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• 2017

This study aimed to explore online learning profiles of in-service teachers in South Korea, focusing on video lecture and discussion activities. A total of 269 teachers took an online professional development course for 14 days, using an online learning platform from which web log data were collected. The data showed the frequency of participation and the initial participation time, which was closely related to procrastinating behaviors. A cluster analysis revealed three online learning profiles of in-service teachers: procrastinating (n=42), passive interaction (n=136), and active learning (n=91) clusters. The active learning cluster showed high-level participation in both video lecture and discussion activities from the beginning of the online course, whereas the procrastinating cluster was seldom engaged in learning activities for the first half of the learning period. The passive interaction cluster was actively engaged in watching video lectures from the beginning of the online course but passively participated in discussion activities. As a result, the active learning cluster outperformed the passive interaction cluster in learning achievements. The findings were discussed in regard to how to improve online learning environments through considering online learning profiles of in-service teachers.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.804-806
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• 2020

딥러닝(deep learning)은 기계학습 알고리즘 중 가장 널리 활용되고 있는 알고리즘이다. 딥러닝 기술은 산업, 과학, 국방 및 공공 부문을 비롯하여 거의 모든 분야에서 폭넓게 확산되고 있다. 그러나 기계학습 기술에 대한 이해와 프로그래밍 지식이 부족할 경우 자유롭게 활용하는 데는 제약이 따르고 있으며 빅데이터를 활용하여 일반 이용자들이 직접 분산 학습 모형을 개발하고 배포하는 데 어려움이 발생하고 있다. 이러한 요구를 충족시키기 위해 딥러닝 프레임워크의 저수준 API를 추상화하여 고수준 분석과 분산 딥러닝을 지원하고 일반 이용자들이 실무적으로 복잡한 딥러닝 기술을 활용할 수 있는 기술을 개발하였다. 플랫폼 개발과 함께 중요하게 고려해야 하는 요소 중 하나로 플랫폼의 배포와 확장성 역시 고려되어야 한다. 본 플랫폼은 조직 내 계산 자원을 이용하여 플랫폼을 배포할 수 있으며 상용 클라우드 서비스와 연동하여 배포할 수 있도록 설계됨에 따라 환경의 제약 없이 유연한 서비스 제공이 가능하다.

• Nuclear Engineering and Technology
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• v.56 no.2
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• pp.644-654
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• 2024

After the Tohoku earthquake and tsunami (Japan, 2011), regulatory efforts to mitigate external hazards have increased both the safety requirements and the total capital cost of nuclear power plants (NPPs). In these circumstances, identifying not only disaster robustness but also cost-effective capacity setting of NPPs has become one of the most important tasks for the nuclear power industry. A few studies have been performed to relocate the seismic capacity of NPPs, yet the effects of multiple hazards have not been accounted for in NPP capacity optimization. The major challenges in extending this problem to the multihazard dimension are (1) the high computational costs for both multihazard risk quantification and system-level optimization and (2) the lack of capital cost databases of NPPs. To resolve these issues, this paper proposes an effective method that identifies the optimal multihazard capacity of NPPs using a multi-objective genetic algorithm and the two-stage direct quantification of fault trees using Monte Carlo simulation method, called the two-stage DQFM. Also, a capacity-based indirect capital cost measure is proposed. Such a proposed method enables NPP to achieve safety and cost-effectiveness against multi-hazard simultaneously within the computationally efficient platform. The proposed multihazard capacity optimization framework is demonstrated and tested with an earthquake-tsunami example.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.4
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• pp.774-792
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• 2024

Unlike traditional retail formats, the metaverse offers diverse shopping experiences, ranging from content that mimics reality to content that transcends reality based on its characteristic of virtuality. This study elaborates on the concept of virtuality within store environments and investigates how the virtuality level of a metaverse store influences consumers' creative consumption by mediating the flow experience. Additionally, it examines the interaction effect of creative product-seeking tendencies and individual characteristics on the relationship between flow experience and creative consumption behavior. A web-based experiment was conducted on young Korean female adults who experienced metaverse shopping. Ninety-one samples were analyzed using exploratory factor and bootstrap analyses with SPSS Macro process Models 4 and 14. The findings demonstrate that store virtuality (low vs. high) increases consumers' purchase intentions of creative fashion items by enhancing their flow toward the shopping experience. Furthermore, the effect of flow experience on creative consumption is strengthened when consumers have low creative product-seeking tendencies. This study contributes to expanding the concept of virtuality in virtual retailing and provides insights for fashion retailers planning to create virtual shopping spaces within the metaverse platform.