• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.25-40
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• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.93-98
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• 2022

With the development of new digital technologies, research on various learning tools is being actively conducted. These learning tools are also being developed so that they can be applied to various environments by applying the technology of artificial intelligence or using smart functions to which big data technology is applied. These smart learning tools are contributing a lot to increasing educational effectiveness and learning efficiency. Recently, various learning tools have been applied in universities, and solutions for smart learning from smart attendance are introduced to improve student learning efficiency. This study intends to propose a design for a smart learning tool that can increase the efficiency of project progress and increase the scalability of the results when conducting a company's customized project through such a university's smart learning tool. The proposed smart learning tool is expected to have the advantage of being able to easily adapt to the practical business project as the company-customized projects that can improve practical skills are smoothly used as a learning tool. The proposed project-based smart learning tool model is later built as a related LMS and applied to actual project progress to check its utility, and to revise and supplement the proposed smart learning tool model to provide a project-based smart learning function want to strengthen.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.159-169
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• 2023

The purpose of this study is, first, to establish a theory about the conflict between sustainable tourism development and the restoration process of modern cultural heritage. Second, a research model is established through literature research, and the difference in perception between the local government (Incheon Jung-gu Office) and the local residents is analyzed. Third, based on the results of the analysis, we will present a conflict management strategy for sustainable tourism development in the modern hotel restoration project. If a conflict management strategy is presented based on the analysis results, first, a procedure to confirm whether the goal of development for sustainable tourism development and local residents is the same before the modern cultural heritage restoration project is necessary. Second, it is necessary to coordinate opinions on priority items among sustainable tourism development indicators during the modern cultural heritage restoration project. Third, in the modern cultural heritage restoration project, priority should be given to the change of awareness of the development subject rather than the change of awareness of the local residents. Fourth, in the modern cultural heritage restoration project, the development entity should attempt continuous dialogue and compromise in an effort to find an alternative that satisfies local residents. Fifth, in the modern cultural heritage restoration project, it would be effective to pay special attention to and focus on the part of 'adjustment of opinions' where the difference of opinion between the developer and the local residents is the largest.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1141-1154
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• 2015

This paper describes the convergence of the energy technology and information and communication technology (ICT), which helps to consume less energy effectively. While a lot of researches have done against the increase of world energy usage, most of them focus on the efficiency of energy supply, transfer, and consumption equipment. Applying the ICT to decrease energy usage could help to find energy saving factors in the new field that has not been considered as a valuable one before. The big data service with the energy technology and ICT convergence enables correlation analyses of large sets of energy and environmental data. Finding a data tendency with a big data service helps to develop energy saving policies. Furthermore, it could make a further step to develop a new business model. This paper introduces the real cases of the company and project that provides a big data service with the ICT convergence.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.291-297
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• 2021

The current formal and memorized design repetition training and practice is wandering in the uniform flat design thinking expression. To change these two-dimensional current issues into a three-dimensional design method, set the direction for each grade level under the integrated convergence educational goal and carry out projects step by step to understand design, the principle of spatial composition, the introduction of traditional design history, and the overall design of craft design. Creative and practical skills such as approach should be cultivated. Designers can only be produced through systematic education and training. In order to lead society and succeed, a designer who has experienced solutions and countermeasures on how to adapt themselves to the demands of various changes in the times must come to the field. Education experts insisted on innovation of the organizational structure and subject of the education system, and emphasized the importance of education in response to the rapid pace of change in the 21st century. This study aims to propose an educational system that combines academic research with a structural approach to tasks by setting a project that reflects the needs of society for convergence practice in which design and adjacent disciplines are linked through understanding and analysis of these issues.

• Geomechanics and Engineering
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• v.31 no.6
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• pp.545-556
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• 2022

Evaluation and optimization of tunnel wall convergence (TWC) plays a vital role in preventing potential problems during tunnel construction and utilization stage. When convergence occurs at a high rate, it can lead to significant problems such as reducing the advance rate and safety, which in turn increases operating costs. In order to design an effective solution, it is important to accurately predict the degree of TWC; this can reduce the level of concern and have a positive effect on the design. With the development of soft computing methods, the use of deep learning algorithms and neural networks in tunnel construction has expanded in recent years. The current study aims to employ the long-short-term memory (LSTM) deep neural network predictor model to predict the TWC, based on 550 data points of observed parameters developed by collecting required data from different tunnelling projects. Among the data collected during the pre-construction and construction phases of the project, 80% is randomly used to train the model and the rest is used to test the model. Several loss functions including root mean square error (RMSE) and coefficient of determination (R²) were used to assess the performance and precision of the applied method. The results of the proposed models indicate an acceptable and reliable accuracy. In fact, the results show that the predicted values are in good agreement with the observed actual data. The proposed model can be considered for use in similar ground and tunneling conditions. It is important to note that this work has the potential to reduce the tunneling uncertainties significantly and make deep learning a valuable tool for planning tunnels.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.201-208
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• 2018

The purpose of this study is to analyze the demand for the science park development as a regional innovation hub to strengthen the internationalization capacity of local governments and to promote international exchange and cooperation based on public - private partnerships. For this, i)the main areas of interest and expectation for international exchange and cooperation, ii)preference for major projects, and iii)demand for development cooperation projects were identified, and it was figured out iv)what the core program is for cities of developing countries through network analysis using the UCINET program. Through these analysis, it was found that cities in developing countries wanted exchange and cooperation projects for the development of industrial and economic sectors. Especially, they wanted to develop industrial infrastructures and transfer advanced systems to foster regional strategic industries. In addition, the demand for the development of science park as a development cooperation project was found to be significant. Therefore it could be inferred that cities in developing countries want to develop a science park as a platform for regional development and industrial development, and to acquire development experience of advanced cities through continuous exchange and cooperation.

• Journal of Microbiology and Biotechnology
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• v.30 no.2
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• pp.178-186
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• 2020

Licorice (Glycyrrhiza uralensis) contains several compounds that have been reported to alleviate menopausal symptoms via interacting with estrogen receptors (ERs). The compounds exist mainly in the form of glycosides, which exhibit low bioavailability and function. To bioconvert liquiritin and isoliquiritin, the major estrogenic compounds, to the corresponding deglycosylated liquiritigenin and isoliquiritigenin, respectively, licorice was fermented with Monascus, which has been demonstrated to deglycosylate other substances. The contents of liquiritigenin and isoliquiritigenin in Monascus-fermented licorice increased by 10.46-fold (from 38.03 μM to 379.75 μM) and 12.50-fold (from 5.53 μM to 69.14 μM), respectively, compared with their contents in non-fermented licorice. Monascus-fermented licorice exhibited 82.5% of the ERβ binding activity of that observed in the positive control (17 β-estradiol), whereas the non-fermented licorice exhibited 54.1% of the binding activity in an in vivo ER binding assay. The increase in the ERβ binding activity was associated with increases in liquiritigenin and isoliquiritigenin contents. Liquiritigenin acts as a selective ligand for ERβ, which alleviates menopausal symptoms with fewer side effects, such as heart disease and hypertension, compared with a ligand for ERα. In addition, Monascus-fermented licorice contained 731 mg/kg of monacolin K, one of the metabolites produced by Monascus that reduces serum cholesterol. Therefore, Monascus-fermented licorice is a promising material for the prevention and treatment of menopausal syndrome with fewer side effects.

• Journal of Microbiology and Biotechnology
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• v.27 no.3
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• pp.598-609
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• 2017

Pediococcus pentosaceus ID-7 was isolated from kimchi, a Korean fermented food, and it showed high activity for lactose hydrolysis. The ${\beta}$-galactosidase of P. pentosaceus ID-7 belongs to the GH2 group, which is composed of two distinct proteins. The heterodimeric LacLM type of ${\beta}$-galactosidase found in P. pentosaceus ID-7 consists of two genes partially overlapped, lacL and lacM encoding LacL (72.2 kDa) and LacM (35.4 kDa). In this study, Escherichia coli MM294 was used for the production of LacL, LacM, and LacLM. These three types of recombinant proteins were expressed, purified, and characterized. The specific activities of LacLM and LacL were 339 and 31 U/mg, respectively. However, activity was not detected with LacM alone. The optimal pH of LacLM and LacL was pH 7.5 and pH 7.0, and the optimal temperature of LacLM and LacL was $40^{\circ}C$ and $50^{\circ}C$, respectively. The optimal temperature changes indicate that LacLM is able to achieve higher activity at a relatively lower temperature. LacLM was strongly activated by $Mg^{2+}$, $Mn^{2+}$, and $Zn^{2+}$, which was not true for LacL. Consistent with this, EDTA strongly inactivated LacLM and LacL, but the presence of reducing agents did not dramatically alter the activity. Taken together, multiple alignment of amino acid sequences and phylogenetic analysis results of LacL and LacM of P. pentosaceus ID-7 suggest the evolution of LacL into LacLM and that the use of divalent metal ions results in higher activity.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.233-240
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• 2017

In recent years, graphics authoring tools have evolved into a variety of formats in line with the rapidly changing digital design field. However, in the field of interface design, screen shape and size depending on the user's environment, it needs more flexible and scalable authoring tools. Along with the emergence of variety of new tools, work processes are also changing. This study investigates what kinds of graphic authoring tools are currently used by designers and compared the result to the case of overseas and examined the difference in the environment of graphic authoring tool. This study looked at criteria and satisfaction of designers choosing authoring tools and how the choice depends on the type of company we are working in and the type of project we are involved in. Research shows that the choice of authoring tools depends on the type and efficiency of the project. Based on this, a reference is provided to establish the standard and working environment for designers and companies to select graphic authoring tools and propose the future direction of graphic authoring tool environments.