• Journal of Industrial Convergence
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• v.20 no.2
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• pp.1-9
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• 2022

As the need for improvement of transparency and fairness in the selection of national R&D projects has been continuously raised, we analyzed the impact on the evaluation selection results by evaluation indexes for The land transportation technology commercialization support project and searched for ways to improve indexes using the analysis results. As for the research data, it were applied as selection results of new R&D projects and evaluation indexes in two fields(SME innovation and start-up) in 2021. Logistic regression analysis is used for the influence of each evaluation indexes on the evaluation result, and for the regression model, evaluation indexes with low influence are removed in advance through artificial neural network multiple perceptron analysis to improve the reliability of the analysis results. As a result of the analysis, in the field of SME innovation, the influence of the evaluation index on the workforce planning was the lowest and the influence of the appropriateness of commercialization promotion plan was the highest. In the start-up field, the influence of the evaluation indexes for technology development suitability, marketability, and suitability for carrying out the project were estimated to be similar to each other, and the influence of the technology evaluation index was found to be the lowest. The analysis results of this thesis suggest the need for continuous improvement of selection and evaluation indexes, and by using the analysis results to select a fair R&D institution according to the selection of appropriate indexes, it will be possible to contribute to deriving excellent research results and fostering excellent companies in the field of land transportation.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.337-342
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• 2021

The purpose of this study is to analyze the environment and strategic behaviors of cultural contents companies with a focus on Iconix, and to derive strategic recommendations for Iconix to pursue in order to create a sustainable competitive advantage. As a result of the analysis, Iconix is a vertically integrated development-business system from content planning to business in line with their mission to develop into an all-weather entertainment content provider that can confidently compete with the major players in the US and Europe that are already leading the global market. It is building a strong global business network covering both domestic and overseas markets in stages, taking a high-level global strategy. However, depending on Pororo's success or due to various problems within the organizational structure, it is facing limitations. Therefore, if the various strategic suggestions presented in this study are implemented based on the One Source Multi Channel/Multi Use strategy that can maximize the added value of contents through the participation and business linkage of leading companies in each sector of the entertainment industry, the total entertainment will be stabilized. It will establish itself as a leader in the contents industry.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.449-460
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• 2021

The development process of cyber literature theory in the 1990s clearly shows the duality of the pursuit of symbolic power and desire through the formation and conflict of literary fields, collective intelligence. All desires are bound to be power-oriented, and cyber literature is meaningful in that network-space critics developed while advocating the humanities of coexistence. The failure of cyber literature theory is due to the conflicting desire of critical power between real and virtual spaces. Cyber literature theory in the 1990s was the first literary response to the birth of artificial nature, although the contradiction of desires revealed in symbolic power and the limitations of barking are clear. Literature discourse has always explored the relationship between the social conditions of the time (including technological progress) and art texts. Producing a new critical discourse encompassing the whole within the literary field of artificial nature is an important task in literature in the era of technology compilation, and humanities and technology must coexist. Through this paper, we examined the impact of the birth of artificial nature on humanities. This study is an important achievement of humanities engineering that understands, interprets, and leads technology.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.515-522
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• 2022

This study analyzed the child protection system in Germany from a preventive perspective and attempts to find the applicable implications to Korea. The research method was analyzed in terms of legal, policy and professionalism. The result is as follows. First, Child and Youth Support Act in Germany stipulated a preventive support system to restore the function of the family. Second, according to the Civil Act, it was stipulated that the family court could intervene early. Third, the federal Child Protection Act stipulated community cooperation for thd child protection system. Fourth, the Youth Agency as the general authority made it possible to provide preventive support and intervention at the same time. Firth, qualification standards were specified in the Child and Youth Support Act. Child protection specialists are granted to public officials who have worked for more than three years. The implications are as follows. First, the child protection system, which operates as a child abuse reporting system, should be expanded to a preventive support system. Second, it is necessary to expand monitoring by establishing an early warning system between networks in order to establish a support system for potentially at-risk children. Third, local governments should support children and parents flexibly and comprehensively for dysfunction caused by difficulties at home. Fourth, it is necessary to enact the Child Protection System Cooperation Act for a network cooperation system.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.43-57
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• 2022

In this paper, we propose a method of analyzing research papers published by researchers belonging to university departments in the field of disaster & safety for the scientometric analysis of the research status in the field of disaster safety. In order to conduct analysis research, the dataset constructed in previous studies was newly improved and utilized. In detail, for research papers of authors belonging to the disaster prevention and safety engineering type department of domestic universities, institution identification, cited journal identification of references, department type classification, disaster safety type classification, researcher major information, KSIC(Korean Standard Industrial Classification) mapping information was reflected in the experimental data. The proposed method has a difference from previous studies in the field of disaster & safety and data set based on related keyword searches. As a result of the analysis, the type and regional distribution of organizations belonging to the department of disaster prevention and safety engineering, the composition of co-authored department types, the researchers' majors, the status of disaster safety types and standard industry classification, the status of citations in academic journals, and major keywords were identified in detail. In addition, various co-occurrence networks were created and visualized for each analysis unit to identify key connections. The research results will be used to identify and recommend major organizations and information by disaster type for the establishment of an intelligent crisis warning system. In order to provide comprehensive and constant analysis information in the future, it is necessary to expand the analysis scope and automate the identification and classification process for data set construction.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.383-393
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• 2023

We attempted to provide a way to improve job satisfaction by analyzing the relationship between the factors influencing job satisfaction directly or indirectly by the ecological system factors of long-term care worker who provide elderly care services at home benefit institutions. In this study, job satisfaction was confirmed to have a positive (+) correlation with all ecological factors except for social and cultural environmental factors by setting the causal relationship between the social and social characteristics of long-term care worker and job satisfaction as dependent variables. The factors with the highest correlation with job satisfaction were social support, followed by family support, job conditions, trust in welfare policies for the elderly, self-efficacy, and self-esteem. Therefore, it can be seen that nursing care workers who recognize positive support from the surrounding social network and family surrounding nursing care workers and positively recognize job conditions are generally positive.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.1
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• pp.9-18
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• 2023

Predicting the compressive strength of high-performance concrete (HPC) is challenging because of the use of additional cementitious materials; thus, the development of improved predictive models is essential. The purpose of this study was to develop an HPC compressive-strength prediction model using an ensemble machine-learning method of combined bagging and stacking techniques. The result is a new ensemble technique that integrates the existing ensemble methods of bagging and stacking to solve the problems of a single machine-learning model and improve the prediction performance of the model. The nonlinear regression, support vector machine, artificial neural network, and Gaussian process regression approaches were used as single machine-learning methods and bagging and stacking techniques as ensemble machine-learning methods. As a result, the model of the proposed method showed improved accuracy results compared with single machine-learning models, an individual bagging technique model, and a stacking technique model. This was confirmed through a comparison of four representative performance indicators, verifying the effectiveness of the method.

• Journal of Industrial Convergence
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• v.21 no.5
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• pp.1-13
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• 2023

Carbon neutrality is the concept of reducing greenhouse gases emitted by human activities and making actual emissions zero through removal of remaining gases. It is also called "Net-Zero" and "carbon zero". Korea has declared a "2050 Carbon Neutrality policy" to cope with the climate change crisis. Various carbon reduction legislative processes are underway. Since carbon neutrality requires changes in industrial technology, it is important to prepare a system for carbon zero. This paper aims to understand the status and trends of global carbon neutrality technology. Therefore, ROK's web platform "www.naver.com." was selected as the data collection scope. Korean online articles related to carbon neutrality were collected. Carbon neutrality technology trends were analyzed by future signal methodology and Word2Vec algorithm which is a neural network deep learning technology. As a result, technology advancement in the steel and petrochemical sectors, which are carbon over-release industries, was required. Investment feasibility in the electric vehicle sector and technology advancement were on the rise. It seems that the government's support for carbon neutrality and the creation of global technology infrastructure should be supported. In addition, it is urgent to cultivate human resources, and possible to confirm the need to prepare support policies for carbon neutrality.

• Therapeutic Science for Rehabilitation
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• v.11 no.1
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• pp.7-20
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• 2022

Objective : This study aims to identify international academic trends regarding the effectiveness of telehealth for the elderly through bibliographic analysis and to secure the foundation for providing basic data and subsequent research to promote domestic research. Methods : This study collected bibliographic information on the effectiveness of telehealth for the elderly published in international academia from January 2010 to December 2020 and analyzed and visualized the relationships between information using VOS viewer software (version 1.6.16, CWTS, Netherlands, 2020). Results : First, the research trend analysis shows a 678% increase in the number of papers published over the past 10 years. Most of the research was conducted in 145 (45.89%) Health care science services, and the most papers were published in 39 Telemedicine and e-Health journals (9.11%). Second, the network analysis showed that Oxford University had a total of 168 connections in other countries and institutions in the U.K, indicating the strongest influence in international academic societies. Third, as a result of the keyword analysis, 'older adults (64 times)', 'care (62 times)', 'health (50 times)', 'technology (40 times)', and 'outcomes (41 times)' were used in the study. Conclusion : In this study, the trends and topics of international academia on the effectiveness of telehealth for the elderly were analyzed to form the basis for research activities and the institutional implementation of telehealth for the elderly in Korea.