The world's major countries carry forward strategies for enhancing industrial competitiveness, resulting in the fourth industrial revolution while a new growth engine is required to deal with the slow growth of global economy and declining productivity. Artificial intelligence (AI) is regarded as a core technology of the fourth industrial revolution. AI is expected to be implemented rapidly in advertising and media industries. However, it is hard to find an effective way to implement AI in these industries, especially because of how quickly the AI market changes and develops. Therefore, this study seeks the possible industrial influence of AI in advertising and media industries and invigoration plan for AI, by an in-depth interview with 10 professionals who lead the AI market. First, it was analyzed to explore the macroscopic side of the AI market through P (Politics), E (Economy), S (Society), and T (Technology). Also, the applicability of AI in advertising and media industries was explored by analyzing its S (Strength), W (Weakness), O (Opportunity), and T (Threat).The result indicates that it is necessary to build up a nation-wide construction of infrastructure for the fourth industrial revolution to invigorate AI in advertising and media industries. Moreover, a social environment capable of overcoming a hyper-connected society and social risks should be fostered. Lastly, it is urgent for both the industrial and academic world to diagnose the influence of AI in advertising and media industries, to anticipate the future in accordance with technological advance, set a proper direction, to invest actively for technical development of AI, and to formulate innovative policies.
Kim, Hu Yong;Ryu, Kuk Mu;Kim, Kyoon Tai;Jun, Young Hun;Kim, Yea Sang
Korean Journal of Construction Engineering and Management
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v.19
no.6
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pp.124-134
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2018
Despite the many advantages of modular housing, low preference for modular housing for consumers who are familiar with RC structure leads to high construction cost of modular housing. The cost of modular buildings is about 130% of that of RC structures, so it is urgent to secure economical efficiency of modular buildings. Therefore, in this study, after calculating the savings amount of modular housing by type of construction work, economic analysis was conducted from a long - term perspective. In order to carry out the research, the authors compiled and analyzed the material cost, labor cost, and expenses incurred by each type of work by reclassifying the statement of the modular housing into the factory production and the site installation. After that, Pareto diagrams were created to find a core work that is included in the cost ratio of about 80%, and selected it as a cost reduction subject. Based on the assumption that the market size of domestic modular housing is similar to the level of modular advanced countries such as Japan and European countries, six cost reduction methods were set up that reflects the characteristics of the modular construction method and used for the expert interviews. Cost saving potentials in percentage from the interview were converted to the amount of savings that can be achieved by each type of method when applying the method. Finally, the findings of the study are expected to suggest long-term directions for technical development for modular construction and cost savings.
Journal of Korean Home Economics Education Association
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v.29
no.4
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pp.65-84
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2017
The purpose of this study is to activate Home Economics integrated career education for strengthening career development competency in a career education intensive semester & grade system. To do this, the trend of subjects-integrated career education, and the relationship between achievement standards of Home Economics in high school and career development competency were analyzed, methods for Home Economics subjects-integrated career education were investigated, then a case study was developed. The main research results of this study are as follows. First despite the importance of subjects-integrated career education, there are much rooms to improve in operation of the career education intensive semester & grade system. Therefore, the systematic preparation for subjects-integrated career education is required at the time of application of the 2015 revised curriculum and the expansion of the career education intensive semester & grade system. Second, all achievement criteria in three domains of Home Economics were shown to be highly related to career development competency. Eventually it could be confirmed that the Home Economics is a core subject that meets the goals of career education and hones career development competency to be prepared as future human resources. Finally, in order to strengthen the career development competency, a case study of Home Economics integrated career curriculum focusing on the association with curriculum-teaching & learning-evaluation was developed and proposed. Even though the developed case study of curriculum has not been proven yet in the class, this study is expected to contribute to the enlargement of career education of Home Economics in the career education intensive semester & grade system as fundamental data for integration of Home Economics and career education.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.9
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pp.7-12
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2018
In the society where the paradigm of knowledge is rapidly changing and developing, convergence emphasizing the connection between knowledge and technology in various fields is significant. In order to cultivate these creative-convergent talents, STEAM(Science, Technology, Engineering, Arts, and Mathematics) is being considered important to make them equipped with creative thinking ability and core competence required in the future society and help them devise new ideas escaping from the branches of study. This study is about convergence instructional design of computer with marketing subject, which aims to foster talent. The results of this study are as follows. First, the structured process of convergence lessons. Second, the convergence lesson was based on a cyclic process with steps : selection of the subject concerned, selection of a topic, designing the lesson, mapping out the lesson plan and developing problems, having a final discussion on the whole lesson, performing the lesson and evaluating the lesson. Third, the development of the problems about the introduction of computer engineering and Internet marketing subject for convergence lessons. To make an effect of this model, studies applying this instructional design to many lectures should be implemented.
Recently, BIM has become mandatory in the construction field, research on various use cases is increasing. In particular, when virtual reality technology, one of the core technologies of the 4th industrial revolution, and BIM are combined, it can be used in various fields such as preliminary design review and construction simulation. Until now, however, virtual reality grafting technology is only used as a simple prototype or as a model house. Also, it is difficult to activate virtual construction because it is expensive to produce high-quality virtual reality contents. Therefore, in this paper, in order to increase the utilization and quality of the virtual construction field, a study was conducted to shorten the material mapping time, which takes a lot of time when producing virtual reality contents using BIM. To this end, object properties were assigned to enable material mapping in the BIM model, and materials most used in the construction field were configured, and automated material function development and final tests were conducted that automatically map properties and materials. For the test, 10 models were used and the test was repeated three times, and the productivity improvement of about 50.16% was finally achieved. In the future, we plan to conduct research on physical data weight reduction based on the advanced material mapping automation function and the large-capacity BIM model.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.1
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pp.35-44
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2020
The purpose of this study is to elaborate the request for proposal (RFP) for the localization parts development support project of core parts carried out by the Defense Agency for Technology and Quality. The RFP is the most important document throughout the localization parts project, including project announcement and developer selection, design and test of the development product, final evaluation, and standardization of the project. However, if the RFP is not established at the beginning of the project, there is an increased risk of business failure due to frequent changes by various reasons. In this study, we recognized the necessity of elaboration of RFP and applied the AHP method for quantitative elaboration. Eight requirements of the RFP related to the mechanical/electrical performance of localized development products and three elaboration methods for each requirement were designed in a hierarchical structure, and each weight was calculated by applying the 5-point scale AHP method. The AHP survey was conducted with 20 developers participating in the localization parts project, and the consistency ratio of the AHP survey result was less than 0.1. The elaboration method with the highest value among the calculated weights is classified, and the analysis results and future research directions of the elaboration method are presented.
This study analyzed research trends on smart logistics in Korea by conducting social network analysis (SNA) using R. The purpose of this study is to enhance the understanding of the smart logistics field along with the smart logistics status and policy review, and to suggest implications and future research tasks. The analysis period and subjects were 128 academic journal papers on smart logistics-related topics over the past 10 years (2011-2020), and the results were divided into the first half (2011-2015) and the second half (2016-2020). The analysis of the study was carried out step-by-step through frequency analysis, network centrality analysis, and visualization. As a result of the study, the quantitative increase and diversification of the research field were confirmed. It was also confirmed that the concentration of research on core areas increased by increasing the proportion of duplicate keywords. In addition, keywords with high betweenness centrality and degree centrality score such as Logistics, Authentication, Smart, Service, RFID, Technology, and Revolution were presented. Lastly, this study reviewed the structure with a focus on betweenness centrality after visualizing the network with main keywords. As a result, early research was focused on the field of logistics, and after 2016, it was confirmed that the center of research was diversifying and expanding with the development of the 4th industrial revolution and major technologies.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.9
no.6
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pp.681-689
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2019
The 46th Davos Forum of the World Economic Forum (WEF) predicts the continued growth of the 4th industry in the future. Currently, the 4th industry is attracting attention in various academic and practical fields. As a core technology of the 4th industry, Big Data is regarded as a major resource to lead the 4th industrial revolution along with artificial intelligence. As the growing interest in Big Data, researches on it are actively being done. However, literature studies on existing Big Data are focused on qualitative research, and quantitative research is insufficient. Therefore, this study aims to analyze the big data research flow in MIS field and to make academic thirst for quantification. This study has collected 145 abstracts of big data papers published in major journals in MIS field and confirmed that a majority of papers are published in Decision Support Systems Journal. Text mining and text network analysis were performed only for DSS journals to eliminate bias. As a result of the analysis, it was found out that researches on combining big data in the management field between 2012 and 2014, and researches on system development and analysis method for using big data from 2015 to 2017 were conducted.
This study tried to suggest ways to improve the indicator system to strengthen the personal information protection. For this purpose, the components of indicator system are derived through domestic and foreign literature, and it was selected as main the diagnostic indicators through FGI/Delphi analysis for personal information protection experts and a survey for personal information protection officers of public institutions. As like this, this study was intended to derive an inspection standard that can be reflected as a separate index system for personal information protection, by classifying the specific IT technologies of the 4th industrial revolution, such as big data, cloud, Internet of Things, and artificial intelligence. As a result, from the planning and design stage of specific technologies, the check items for applying the PbD principle, pseudonymous information processing and de-identification measures were selected as 2 common indicators. And the checklists were consisted 2 items related Big data, 5 items related Cloud service, 5 items related IoT, and 4 items related AI. Accordingly, this study expects to be an institutional device to respond to new technological changes for the continuous development of the personal information management level diagnosis system in the future.
Korean Journal of Construction Engineering and Management
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v.20
no.1
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pp.141-150
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2019
In the overseas plant construction market, the domain construction firms' construction capability has been greatly improved, but the capability of project management is evaluated to be insufficient compared to the technical aspect. Project management capabilities from the initial planning stage of project execution are regarded as the core competence of advanced construction companies. Among them, it is urgent to improve the capacity of conceptual estimate for domestic companies. In this study, the researchers surveyed and analyzed the methodology of estimating project cost in the planning phase of the plant project and developed an estimation method by conducting a case study analysis. Based on the logic of the cost index and parametric estimation method among the existing estimation methodology, the estimation tool was developed by deriving the input and output variables tailored to the plant project. The validity of the proposed methodology was evaluated by comparing the accuracy between the project estimate amount of the case project and the actual project amount. In order to increase the utilization of the developed conceptual estimate methodology,for plant construction project, it is necessary to systematize the data of the historical project data. Increasing the accuracy of future project cost estimates is directly related to increasing project award and profitability of the domestic construction company.
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