• Membrane Journal
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• v.32 no.1
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• pp.1-12
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• 2022

Graphene oxide (GO) has been considered as a promising membrane material, because of its easy processability and distinct properties, including controllable pore size distribution and diffusion channels. Particularly, the feasibility has been proposed a number of simulation results and proof-of-concept experimental approaches towards GO membranes. That is, GO already shows many outstanding intrinsic properties suitable for promising membrane platforms, such as the minimum membrane thickness and the ability to generate nanopores in the two-dimensional lattices or to create slit-like nanochannels between adjacent sheets. This review will be addressed the important experimental development in GO-based membranes for gas and ion separations, emphasizing on intrinsic transport phenomena, and critical issues for practical applications.

• Korean Journal of Artificial Intelligence
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• v.11 no.2
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• pp.19-27
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• 2023

In recent times, an exponential increase in Internet traffic has been observed as a result of advancing development of the Internet of Things, mobile networks with sensors, and communication functions within various devices. Further, the COVID-19 pandemic has inevitably led to an explosion of social network traffic. Within this context, considerable attention has been drawn to research on network traffic analysis based on machine learning. In this paper, we design and develop a new machine learning framework for network traffic analysis whereby normal and abnormal traffic is distinguished from one another. To achieve this, we combine together well-known machine learning algorithms and network traffic analysis techniques. Using one of the most widely used datasets KDD CUP'99 in the Weka and Apache Spark environments, we compare and investigate results obtained from time series type analysis of various aspects including malicious codes, feature extraction, data formalization, network traffic measurement tool implementation. Experimental analysis showed that while both the logistic regression and the support vector machine algorithm were excellent for performance evaluation, among these, the logistic regression algorithm performs better. The quantitative analysis results of our proposed machine learning framework show that this approach is reliable and practical, and the performance of the proposed system and another paper is compared and analyzed. In addition, we determined that the framework developed in the Apache Spark environment exhibits a much faster processing speed in the Spark environment than in Weka as there are more datasets used to create and classify machine learning models.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.363-372
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• 2022

Entrepreneurs are valuable assets for any country. Rather than being confronted with new obstacles, they should be fostered and nurtured. Entrepreneurial firms have the power to influence how we live and work, in addition to producing jobs and contributing to economic progress. Entrepreneurs have the ability to change the world by creating diversified skill sets and profitable businesses that are vital to the advancement of our economies. How does one go about being a successful business, though? More resources are believed to be needed to create entrepreneurial environments in higher education that foster progressive ideas and innovation while also providing students with the practical knowledge and skills they need to navigate the troublesome, difficult, and uncertain situations that come with owning a business. This article will outline the scales of components from which to measure variables impacting universities' ability to encourage entrepreneurial behavior among students, based on the aforementioned significance of universities. This article is based on a survey of 507 students from different universities and backgrounds in Vietnam. The research methods used are Cronbach's alpha test and Structural Equation Modeling. From the research results, it can be seen that the university's environment plays a significant role in fostering entrepreneurial behavior among students.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.347-354
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• 2023

The rapid development of information technology has accelerated the application of big data and the Internet of Things in various industries. Big data has a great potential in the development of smart tourism. With the help of innovation in emerging technologies such as big data and Internet of Things, smart tourism has a better possibility to surpass traditional tourism. Therefore, this article provides a theoretical support to this process. It has explored the innovative management model of big data and IoT in smart tourism and evaluate their effects on promoting tourism. It offers a reference for the integration and innovation of the tourism theory system. Before big data technology, the development of Internet boosted online tourism. However, tourism marketing is still inefficient due to a lack of understanding about tourists. After many practical explorations of big data technology, tourism websites begin to adopt big data technology in their daily operations. With the changes in tourists' preferences and needs, further innovation and research are needed to help smart tourism keep up with the changes in the market and create more competitive products and services. Innovation serves as the driving force for enterprises to occupy the market and develop.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.367-368
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• 2023

Kiscon, Seumteo, KONEPS and CSI are representative construction-related DBs. All four DBs are operated by the public. However, the characteristics of data are different depending on the purpose. Therefore, it is difficult to utilize integrated data and it is only used sparingly. Creating and sharing a unique key that can identify a construction site will enable integrated accumulation and management of construction-related data for various purposes. At this point, it is most efficient to assign a unique key based on KISCON. KISCOn data conforms to the construction site definition and covers most of the public, private, architectural and civil works. In addition, there is an advantage in that DB construction is performed in the construction situation, which is a relatively preceding process. In the future, it is necessary to create a practical construction site integrated DB through the production of an integrated key table containing linkage information of unique keys for site management, performance indicators, and statistics production.

• Educational Technology International
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• v.20 no.1
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• pp.57-81
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• 2019

This study aimed to investigate effects of peer feedback types and feedback acceptance levels on academic achievement in project-based learning. The participants were 70 middle-school students taking an English course. They were divided into corrective and suggestive feedback groups. These participants were asked to create user-created content (UCC) as an individual task and provide peer feedback on a peer's UCC in the same type of feedback group. Results showed that there were significant differences in academic achievement according to peer feedback types (corrective vs. suggestive) and feedback acceptance levels (high vs. low). In particular, the suggestive peer feedback group had higher academic achievement than the corrective peer feedback group. Moreover, the group with a high level of feedback acceptance gained higher academic achievement than the group with a low level of feedback acceptance. Moreover, there was an interaction effect between peer feedback types and feedback acceptance on academic achievement. These results indicate that peer feedback types and feedback acceptance should be considered for effective peer feedback activity. These findings provide practical implications for the design and implementation of peer feedback activity in project-based learning.

• Human Ecology Research
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• v.61 no.4
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• pp.709-721
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• 2023

This study aimed to enhance awareness of diverse families and promote an inclusive, family-friendly culture by implementing the metaverse in a family festival and assessing its effects during the Covid-19 pandemic. To achieve this, the metaverse was applied and operated at the Jung-gu Family Center Family Festival in Seoul from October 29 to November 6, 2021. The design of the Metaverse Family Festival prioritized the integration of metaverse technology and the layout of program-linked spaces to create a realistic experience. The festival was operated with a focus on providing experiential activities and exhibitions. Data comprised program satisfaction and reviews from a sample of 228 festival participants. The key findings were as follows. Firstly, participants shared their interest and joy in experiencing new activities with their families through the Metaverse Family Festival. Secondly, creating a realistic family festival environment proved practical for encouraging active participation. Thirdly, the Metaverse Family Festival was perceived as promoting an inclusive, family-friendly culture by facilitating safe and accessible communication. Fourthly, the festival effectively bridged the digital gap within families, thereby enhancing digital literacy. This study offers new insights for the future design and operation of various programs in family centers and public institutions.

• Journal of East-West Nursing Research
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• v.29 no.2
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• pp.117-128
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• 2023

Purpose: This study aims to develop a structural model for predicting motherhood in women with her first infant child and to contribute to the development of practical and specific nursing interventions to promote successful motherhood. Methods: The subjects of the study were 211 mothers and fathers who had their first child within 12 months and consented to the study. Data collected from June 2, 2022 to January 31, 2023 were analyzed using SPSS 28.0 and AMOS 26.0 programs. Results: The results of this analysis showed that maternal and paternal factors (postpartum depression and paternal attachment) and infantile factor (temperament) influenced the process of becoming a mother for a women with her first child, with postpartum depression being the most influential factor. Conclusion: In order to increase the level of motherhood, it is important to prevent postpartum depression and create a nurturing environment for mothers, and social system support and psychological nursing intervention strategies are necessary.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.77-86
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• 2024

As the significance of knowledge convergence continues to grow, universities are making efforts to develop methods that promote multidisciplinary learning. To address this educational challenge, our paper applies network theory and text mining techniques to analyze university curricula and introduces a graphical syllabus rendering method. Visualizing the course curriculum provides a macro and structured perspective for individuals seeking alternative educational pathways within the existing system. By visualizing the relationships among courses, students can explore different combinations of courses with comprehensive search support. To illustrate our approach, we conduct a detailed demonstration using the syllabus database of Yonsei University. Through the application of our methods, we create visual course networks that reveal the underlying structure of the university curriculum. Our results yield insights into the interconnectedness of courses across various academic majors at Yonsei University. We present both macro visualizations, covering 18 academic majors, and visualizations for a few selected majors. Our analysis using Yonsei University's database not only showcases the value of our methodology but also serves as a practical example of how our approach can facilitate multidisciplinary learning.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.728-749
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• 2022

The information and communication technology (ICT) value creation process is inherently unobservable. In addition to the direct effect of ICT on productivity, some information or knowledge can create value through other knowledge activities. In this paper, we study the impact of ICT on productivity through R&D. We tested the mediating effect of R&D between ICT and productivity using panel data from 47 US industries from 1987 to 2013 from the Bureau of Labor Statistics. The results show that R&D partially mediates ICT and productivity. That is, ICT directly increases productivity, and some of its effects can be realized through R&D. Recipients who acquire knowledge through ICT have to interpret codified ideas and apply them to practice. The increased absorptive capacity that can be developed through R&D improves interpretation ability, allowing employees to share more complex ideas. Thus, ICT helps people to effectively communicate, but some information and knowledge can be realized and applied through R&D knowledge activities. This is the first study empirically examining the process of ICT value creation through R&D. It also provides practical guidelines for knowledge management, such as making decisions about ICT and R&D investments that are better done concurrently rather than individually to maximize their impact on productivity.