• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.260-269
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• 2022

In this paper, We propose an anomaly detection model using deep neural network to automate the identification of outliers of the national air pollution measurement network data that is previously performed by experts. We generated training data by analyzing missing values and outliers of weather data provided by the Institute of Environmental Research and based on the BeatGAN model of the unsupervised learning method, we propose a new model by changing the kernel structure, adding the convolutional filter layer and the transposed convolutional filter layer to improve anomaly detection performance. In addition, by utilizing the generative features of the proposed model to implement and apply a retraining algorithm that generates new data and uses it for training, it was confirmed that the proposed model had the highest performance compared to the original BeatGAN models and other unsupervised learning model like Iforest and One Class SVM. Through this study, it was possible to suggest a method to improve the anomaly detection performance of proposed model while avoiding overfitting without additional cost in situations where training data are insufficient due to various factors such as sensor abnormalities and inspections in actual industrial sites.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.316-327
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• 2022

This study empirically analyzed the effects of beauty service training on customer orientation and job performance of beauty industry workers. First, as a result of the study, there were differences in service training, customer orientation, and job performance according to general characteristics, and service training showed significant differences in age, highest level of education, work experience, and number of employees, job performance in age, work experience, and number of employees, and job performance in age, academic background, work experience, and number of employees. Secondly, it was identified that service training makes a significant effect on customer orientation, the factor that makes the greatest effect on customer orientation among sub-factors of service training is educational content, and it can be seen that customer orientation increases when educational content, educational instructor, and educational environment are higher. Thirdly, it was identified that service training and customer orientation make a significant effect on job performance. hese research results show that the better the educational environment, instructor, and educational content of beauty industry workers, the higher the customer-oriented service, leading to the creation of loyal customers and can improve job performance as well.

• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.199-205
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• 2021

This study was done to evaluate the dermatoxicity of zinc sulfate (ZnSO4) and the protective effect of Rubus parvifolius L. (RP) extract on cytotoxicity of ZnSO4, mordant in cultured SK-MEL-3 cells. For this study, it was done an antioxidative effect as DPPH-radical scavenging ability as well as the diminutive ability of total melanin with cell viability. ZnSO4 significantly decreased cell viability in dose-dependently, and it was mid-toxic. The ascorbic acid significantly increased cell viability damaged by ZnSO4-induced cytotoxicity. In the protective effect of RP extract on ZnSO4-induced cytotoxicity, RP extract significantly increased cell viability compared with ZnSO4-treated group, and also it showed both the DPPH-radical scavenging ability and the decrease of total amount of melanin. From these findings, the cytotoxicity of ZnSO4 is correlated with oxidative stress, and also RP extract effectively protected ZnSO4-induced cytotoxicity via antioxidative effect such as DPPH-radical scavenging ability with the whitening effect by the decrement of total amount of melanin. Conclusively, the natural ingredients like RP extract may be a useful agent for the improvement of antioxidative and whitening effects

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.51-61
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• 2022

The purpose of this study was to identify whether need of cognition have a mediating effect on media multitasking on learning engagement in online education. The subjects were 168 university students who had received online education for more than one semester, and data were collected using questionnaires on media multitasking, need of cognition, and learning engagement. For data analysis, correlation, hierarchical regression and Sobel test were performed using SPSS WIN 20.0 program. As a result of the study, there was a significant positive correlation between media multitasking and learning engagement (r=.52, p<.001), and a between need of cognition and learning engagement(r=.39, p<.001). Media multitasking had a significant effect on learning participation (β=.52, p<.001), and explanatory power was 27%. When need of cognition was input, the effect of media multitasking on learning engagement decreased (β=.52 ⟶ .44), so it was found that need of cognition had a partial mediating effect in the effect of media multitasking on learning engagement(Z=2.77). p<.01). Therefore, it is suggested to use online contents with learning to organizing a g a lesson syllabus for distance education, and to organize activities promoting media multitasking activities. Also, it is proposed to develop and apply various teaching strategies to promoting the need of cognition in the distance education.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.194-201
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• 2022

This study purpose was to know the effects 30 aged females forehead ms by SUKI intervention(4weeks). Total tested group were 18 persons, It used for SUKI intervention of SUKI process C1, SUKI process C2, SUKI process C3, SUKI process C4 were adopted three times a week in 4 weeks. The research conclusion like this. EG was a significant difference in forehead ms. Therefore, to maintaining elasticity on forehead ms. showed as some research of SUKI intervention effects for the forehead ms(p<.05). In this study, even though limited, it was judged that wrinkles due to a decrease in elasticity of the forehead ms located on the upper surface of a woman's face in her 30s could have a profound effect on women's external appearance, so SUKI intervention was applied. In addition, the role of the elastic on the forehead ms was to suggest an alternative semester method that can effectively control the management of external appearance by managing which it suitable for the life cycle of women in their 30s. In conclusion, we hope that in the future, various experiments will be used as new research data on how to prevent females facial skin beauty and wrinkles and help improve elasticity of facial ms around the face.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.171-177
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• 2022

The retirement of the Korean baby boomer generation has become a major factor in an aging society as a large proportion of the population has moved from the middle-aged to the elderly. In addition, after being busy working at a structured workplace for over 30 years, after retirement, they could not adapt to the unstructured environment, causing depression and leading to social problems such as the risk of suicide. research was needed. This study uses photovoice to in-depth research on the research question of how retirees' perception of death preparation, who wants to live a life prepared until death, is used. This is the purpose of this study. The study participants were 7 baby boomer retirees, the data were collected for 2 months, and the perception derived as a result of analyzing the photos, explanations, and in-depth interviews taken by the subject analysis method was used to prepare It was a necessity for education. In the discussion of this study, it is urgent to develop a death preparation education program that can help the baby boomer retirees, and I would like to suggest that the cooperation of local organizations in charge of the program is necessary. This study is meaningful in that it presents basic data in preparing social welfare policy measures for the elderly after retirement through the awareness of death preparations of baby boomer retirees.

• Journal of Legislation Research
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• no.41
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• pp.229-260
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• 2011

European Union (EU) law has been a complex but at the same time fascinating subject of study due to its dynamic evolution. In particular, the Lisbon Treaty which entered into force in December 2009 represents the culmination of a decade of attempts at Treaty reform and harmonisation in diverse sectors. Amongst the EU private law fields, company law harmonisation has been one of the hotly debated issues with regards to the freedom of establishment in the internal market. Due to the significant differences between national provisions on company law, it seemed somewhat difficult to harmonise company law. However, Council Regulation 2157/2001 was legislated in 2001 and now provides the basis for the Statute for a European Company (or Societas Europaea: SE). The Statute is also supplemented by the Council Directive 2001/86 on the involvement of employees. The SE Statute is a legal measure in order to contribute to the internal market, and provides a choice for companies that wish to merge, create a joint subsidiary or convert a subsidiary into an SE. Through this option, the SE became a corporate form which is only available to existing companies incorporated in different Member States in the EU. The important question on the meaning of the SE Statute is whether the distinctive characteristics of the SE make it an attractive option to ensure significant numbers of SE registration. In fact, the outcome that has been made through the SE Statute is an example of regulatory competition. The traditional regulatory competition in the freedom of establishment has been the one between national statutes between Member States. However, this time is not a competition between Member States, which means that the Union has joined the area in competition between legal orders and is now in competition with the systems of company law of the Member States.Key Words : European Union, EU Company Law, Societas Europaea, SE Statute, One-tier System, Two-tier System, Race to the Bottom A quite number of scholars expect that the number of SE will increase significantly. Of course, there is no evidence of regulatory competition that Korea faces currently. However, because of the increasing volume of international trade and expansion of regional economic bloc, it is necessary to consider the example of development of EU company law. Addition to the existing SE Statute, the EU Commission has also proposed a new corporate form, Societas Private Europaea (private limited liable company). All of this development in European company law will help firms make their best choice for company establishment. The Delaware-style development in the EU will foster the race to the bottom, thereby improving the contents of company law. To conclude, the study on the development of European company law becomes important to understand the evolution of company law and harmonisation efforts in the EU.

• Resources Recycling
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• v.31 no.5
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• pp.67-76
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• 2022

The furniture industry has a high possibility to create value-added and a high potential to create new occupations due to the characteristics of the industry, which mainly consists of small and medium-sized enterprises (SMEs). However, the used furniture, which has sufficient reuse value, is also crushed and used as solid refuse fuel (SRF) recently. Besides, the number of waste treatment companies continues to decrease, and it occurs congestion of wood waste. As a way to solve the issue, a business model development of remanufacturing used furniture can be suggested as an alternative due to its high circular economic efficiency. Remanufacturing business including furniture industry creates positive effects in various aspects such as economic, environmental and job creation. In other words, remanufacturing is an effective recycling way to reduce input resources and energy in the production process. The results of economic analysis show that the expected annual revenue from the single worker furniture remanufacturing site was 104 million won which is 3.11 times more than the average income of a single-worker household in Korea and its B/C ratio was estimated about 30 which means high business feasibility. Revenue through furniture remanufacturing also showed 320 times higher than that of SRF production from the perspective of weight. In addition, it is shown that the GHGs reduction from the furniture remanufacturing is 2.2 ton CO₂-eq. per year, which is similar to the amount of GHGs absorption effect of 937 pine trees or 622 Korean oak trees annually. Thus the results of this study demonstrate that it is important to adopt an appropriate recycling method considering the economic and environmental effects at the end-of-life stage.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.57-75
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• 2019

In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.