• Journal of Plant Biotechnology
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• v.45 no.4
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• pp.347-356
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• 2018

Chionanthus retusus is a small deciduous tree that is widely used in landscaping due to its beautiful white spring flowers and ornamental value. Conventional propagation through seeds requires one to two years of breaking dormancy. The objective of this study was to determine the conditions of in vitro germination in C. retusus. In vitro embryo culture was carried out to investigate the effects of six factors: basal media (McCown Woody Plant Medium (WPM) and Murashige and Skoog (MS)); plant growth regulators (different combinations and concentrations of naphthaleneacetic acid (NAA), 6-Benzylaminopurine (BA), and gibberellic acid ($GA_3$)); embryo age (collected weekly beginning 36 days after fruit setting); low temperature pretreatment (storing $4^{\circ}C$ for 1, 2, 3, and 4 weeks); coconut additives (100, 200, and $300ml{\cdot}L^{-1}$); and genotype (grouping plants depending on their flowering nature). The basal medium used in this study was WPM with $2mg{\cdot}L^{-1-1}\;GA_3$, $20g{\cdot}L^{-1}$ sucrose, and $6g{\cdot}L^{-1}$ Agar. WPM medium mixed with $GA_3$, resulted in higher germination rate as compared to when using a combination of auxin and cytokinin. $GA_3$ at $2mg{\cdot}L^{-1}$ was the most effective of all combinations and concentrations of PGRs. WPM medium with $2mg{\cdot}L^{-1}GA_3$ resulted in better and faster germination (75.93%). Embryos collected at 57 days after fruit setting had the highest percent of germinated seeds (87.04%) while low-temperature pretreatment of fruits at $4^{\circ}C$ for two weeks produced the highest germination (95.37%). These results of this study could be an open ground for development of an efficient protocol for commercial production of the ornamental tree.

• Journal of Arbitration Studies
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• v.28 no.3
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• pp.35-53
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• 2018

The purpose of this paper is to focus on the development of the arbitration system, such as the establishment of the arbitration industry and expanding the scope of arbitration fields. The solution method of arbitration differs greatly from that of the court's trial process. This can be seen in the way of autonomous conflict resolution. Therefore, the role of arbitrator is a very important function. In this sense, it seems necessary to establish a professional arbitrator system. Now the Arbitration Promotion Act has been enacted and interest in the arbitration industry is also rising. It is necessary to deal effectively with new incidents according to changes in the legal environment internationally. In order to do this, it is imperative to train professional arbitrators. A training plan for arbitration manager to assist this is now under consideration. The coming of the Fourth Industrial Revolution and the growth of artificial intelligence (AI) technology will simply stop the uniform way of determining winners by lawsuits. Even in new companies entering new markets as well as overseas companies, assistance from arbitration experts is indispensable in order to effectively deal with international trade disputes that will develop in the future. In addition to fostering the arbitration industry, it is necessary to train experts in domestic and foreign arbitration and arbitration practitioners to provide high-quality legal services. For these human resource development measures, we will explore the subject and procedural methods. The Arbitrators Association should concentrate on these matters and be cautious when focusing on the training of arbitrators and arbitration managers through the selection process. The Arbitrators Association must strengthen the level of new education (designation / consignment). Measures must be taken in order to grant such procedures as well as subsequent steps.

• Journal of Internet Computing and Services
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• v.22 no.4
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• pp.51-63
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• 2021

Recently, virtual communication has become a standard tool due to the outbreak of COVID-19. Likewise online communication is emerging as an essential competency. In this study, we aimed to develop a comprehensive and systematic digital literacy measurement tool reflecting the changes and needs of society. Construct variables were drawn by characterizing existing digital literacy measurement tools. Thirty-four items corresponding to the concept of each variable were developed. The developed measurement tool was then evaluated in the form of surveys from university students belonging to the digital native generation, and the reliability and validity were performed through exploratory and confirmatory factor analysis. The digital literacy measurement tool contained five sub-factors and twenty-five questions. In addition, hierarchical regression analysis was performed to verify the predictive validity of digital literacy sub-factors. Based on these findings, the implication of future research is discussed.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1355-1362
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• 2021

Recently, not only congenital hearing impairment, but also the number of people with hearing impairment due to acquired factors is increasing. The environment in which sign language can be learned is poor. Therefore, this study intends to present a sign language (sign language number/sign language text) evaluation system as a sign language learning assistance tool for sign language learners. Therefore, in this paper, sign language is captured as an image using OpenCV and Convolutional Neural Network (CNN). In addition, we study a system that recognizes sign language behavior using MediaPipe, converts the meaning of sign language into text-type data, and provides it to users. Through this, self-directed learning is possible so that learners who learn sign language can judge whether they are correct dez. Therefore, we develop a sign language learning assistance system that helps us learn sign language. The purpose is to propose a sign language learning assistance system as a way to support sign language learning, the main language of communication for the hearing impaired.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.79-84
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• 2022

This paper presents an enhancement method of document restoration capability which is robust for security, loss, and contamination, It is based on two methods, that is, encryption and DnCNN(DeNoise Convolution Neural Network). In order to implement this encryption method, a mathematical model is applied as a spatial frequency transfer function used in optics of 2D image information. Then a method is proposed with optical interference patterns as encryption using spatial frequency transfer functions and using mathematical variables of spatial frequency transfer functions as ciphers. In addition, by applying the DnCNN method which is bsed on deep learning technique, the restoration capability is enhanced by removing noise. With an experimental evaluation, with 65% information loss, by applying Pre-Training DnCNN Deep Learning, the peak signal-to-noise ratio (PSNR) shows 11% or more superior in compared to that of the spatial frequency transfer function only. In addition, it is confirmed that the characteristic of CC(Correlation Coefficient) is enhanced by 16% or more.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1642-1648
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• 2021

We analyzes representative technologies of IoT patents and reflects these results in the curriculum of IoT. In order to identify the representative technologies, the IPC codes of the patents were analyzed. Among the main category IPC codes, the most used IPC codes were H04L in Single IPC Patent with 974 cases(32.0%) and G06Q in Multiple IPC Patent with 710 cases(29.2%). As a result of classifying the IPC code into the WIPO technology classification system, the most emphasized technologies are Digital Communication, accounting for about 60.5% in the Single IPC Patent and IT Methods for Management(710 cases, 29.2%) in Multiple IPC Patent. The main points to be considered when organizing the curriculum of IoT are: ∇Emphasis on Digital Communication, ∇Expansion of Education related to IT Methods for Management(Including entrepreneurship and patent application), and ∇Consideration of subjects related to the Convergence of IoT. This research can contribute to the curriculum design of new industrial technologies such as AI and Fintech.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.2
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• pp.101-106
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• 2022

Recently, virtual human has been widely used in various fields such as education, training, information guide. In addition, it is expected to be applied to services that interact with remote users in metaverse. In this paper, we propose a novel method to make a virtual human' interaction to perceive the user's surroundings. We use the editing authoring tool to apply user's interaction for providing the virtual human's response. The virtual human can recognize users' situations based on fuzzy, present optimal response to users. With our interaction method by context awareness to address our paper, the virtual human can provide interaction suitable for the surrounding environment based on automatic adaptation.

• Advanced Industrial SCIence
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• v.2 no.1
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• pp.39-44
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• 2023

The purpose of this study is to compare the performance and satisfaction of online classes and non-face-to-face mixed classes at universities during the COVID-19 pandemic. This study was conductedtargeted fourth-grade students taking adult nursing lectures at the Department of Nursing at one university. Class performance and class satisfaction were compared between students who participated in the non-face-to-face class and participated in the non-face-to-face mixed class. class performance, students' average scores out of 100 on the final exams were compared. Class satisfaction compared the average score of questionnaire on class satisfaction Class performance was high in online classes, Class satisfaction was higher in mixed classes than in non-face-to-face classes. In the future, it will be necessary to develop and operate various educational methods for university education in the post-COVID-19 era.

• Advanced Industrial SCIence
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• v.2 no.2
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• pp.25-30
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• 2023

The purpose of this study is to empirically analyze the impact of corporate innovation activities on corporate innovation performance using data from companies participating in the smart farm project. A company's innovation activities were divided into planning capacity, R&D capacity, and commercialization capacity, and the impact of each innovation activity on the company's sales and patent creation was estimated. The moderating effect was also analyzed. Regression analysis was conducted as a research method, and as a result of the analysis, it was found that planning capacity, R&D capacity, and commercialization capacity related to innovation within a company have an impact on corporate performance creation. appeared to be In order to increase the business performance of technology commercialization, it was confirmed that planning and R&D capabilities as well as governmental technology policy support are needed.

• Convergence Security Journal
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• v.22 no.1
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• pp.61-69
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• 2022

When a large-scale cyber attack or terrorism occurs and the country suffers enormous damage or poses a fatal threat to security, social interest in nurturing cybersecurity workforce increases. In addition, the government often suggests policies and guideline to train cybersecurity workforce. However, the system that can systematically manage trained cyber workforce after they are employed in related organizations or companies is still weak. Software workforce has a standardized qualification level model, so appropriate jobs are set and managed for each level. Cyber workforce also need a specialized qualification level model that takes into account their career, academic background, and education&training performance. By assigning a qualification level, the duties that can be performed for each level should be set, and the position and duty of the department should also be assigned in consideration of the level. Therefore, in this paper, we propose a qualification level model for cyber security workforce.