• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.483-496
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• 2018

Purpose: This paper proposes a quality strategy based on the evolution of technology in the age of the 4th Industrial Revolution. Methods: We examine the theory of past quality activities and the changes in quality paradigm, and analyze key words for the technologies and key issues of the 4th Industrial Revolution. Based on existing quality management, we find a quality strategy that should be pursued during the 4th Industrial Revolution. Results: Quality has been recognized as an essential component of corporate competitiveness. The paradigm of quality has also changed with the pass of time and industry development. From this viewpoint, the following eight quality strategies are proposed for the development of the technology of the 4th Industrial Revolution period, such as Market-to-customer fusion quality, symbiotic quality, big data quality, technical accuracy and zero-defect quality, facility predictability quality, software quality, process flexibility quality, and information protection stability and security quality. Conclusion: Quality for customer satisfaction is still important nowadays. However, in the 4th Industrial Revolution era, where various business models and methods of manufacturing are expected, the big data utilization, software quality, and the reliability and security of information protection to support it are important.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.587-592
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• 2020

This paper analyzed the curriculum of computer and software-related majors educating the core IT-related skills needed for the 4th Industrial Revolution. The analysis was conducted on 158 majors classified as applied software, computer science and computer engineering according to the standard classification of university education units by the Standard Classification Committee of the Korean Council of University Education. The current status of introduction of curricular divided into the fields of Internet of Things(IoT) & mobile, cloud & big data, artificial intelligence(AI), and information security was analyzed among the contents of education in the relevant departments. According to the analysis, an average of 81.6% of the majors for each group of curricular organized related subjects into the curriculum. The Curriculum Response Index for the 4th industrial revolution(CRI4th) by major, calculated by weighting track operations by education sector, averaged 27.5 point out of 100 point. And the IoT & mobile sector had the highest score of 42.3 points.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.4
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• pp.691-707
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• 2020

This study used big data analysis as informatics that identified keywords related to new-tro fashion; in addition, it conducted differences and types of classification according to demographic characteristics. First, it has been shown that two different generations, the Millennials and the older generation, coexist as important keywords in the context of new-tro fashion. Second, according to age, it has been shown that the keywords that appear in new-tro fashion are taken differently. In most regional keywords that differed in the classification, respondents in their 20s, 30s and 40s were classified as emotional, while those in their 50s or older perceived as factual phenomena. The results of eliciting keywords in new-tro fashion through big data analysis, keywords that reflect phenomena, design details and considerations, fashion styles, fashion brands, fashion items, social media, influence, and emotional adjectives. This study confirmed the meaning of new-tro fashion based on past that can give enjoyment to the new generation and memories to the older generation.

• Journal of the Microelectronics and Packaging Society
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• v.25 no.1
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• pp.23-28
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• 2018

Under the 4th Industrial Revolution, implementation of Smart Factory in the field of surface mounting is an emerging issue. In the field of surface mounting, many researches are going on in line with these changes. Among them, we analyzed the method of optimizing the solder printing process which is a core process and the influence of the external factors affecting the printing efficiency. In this analysis, the Big Data provided by the SPI Machine was used to approach the statistical method, and the possibility of predicting the result through simulation with reliable results was confirmed. I hope this study contributes a little to the Smart Factory implementation.

• Journal of the Korean Chemical Society
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• v.47 no.4
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• pp.376-390
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• 2003

The contents of chemical reaction in the science textbooks, used by starting from elementary school to college level, were investigated how much closely connected with them. For this purpose, nineteen subjects of chemistry contents were selected and the articulation analysis, classified into 5 criteria, was carried out. The results indicated that the articulation from elementary school to middle school looked quite acceptable, but there was a big gap from middle school to high school and the articulation from high school to college exhibited a big overlap and gap. Finally, the flow map of chemical reaction was suggested.

• Fire Science and Engineering
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• v.18 no.4
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• pp.35-41
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• 2004

The water spray characteristics of the sprinkler heads is a very important factor affecting the fire suppression performance, and it is largely dependent on the shape of the head nozzle. This study investigated shape factors and spray distribution performances for the sprinkler heads of four domestic companies with big market shares. The experimental results revealed that all flow constants exceeded the required regulation limits, however showed big differences between head types although they have the same design limit. They were however relatively consistent regardless of the pressure increases. The spray distribution of some head samples showed severe directional eccentricity, which suggests more study for the improvement.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.991-1000
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• 2015

This paper is studying for New Online Learning Model on Smart digital era. It can expect the result of learning degree on Online Learning Class. Using 7-factors of Online Class's operating policy, make the expectation model by 'decision tree' method. And through applying another class, we can getting a generality. Finally, Over the traditional Online Class model, we can take the real-time status of Online class learning degree. It is useful both students and teacher. It is the one of 'Smart learning Model'.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.51-69
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• 2014

Times to multiple events (TMEs) are a major data type in large-scale business and medical data. Despite its importance, the analysis of TME data has not been well studied because of the analysis difficulty from censoring of observation. To address this difficulty, we have developed a Bayesian-based multivariate survival analysis method, which can successfully estimate the joint probability density of survival times. In this work, we extended this method for the analysis of precedence, dependency and causality among multiple events. We applied this method to the electronic health records of 2,111 patients in a children's hospital in the US and the proposed analysis successfully shows the relation between times to two types of hospital visits for different medical issues. The overall result implies the usefulness of the multivariate survival analysis method in large-scale big data in a variety of areas including marketing, human resources, and e-commerce. Lastly, we suggest our future research directions based multivariate survival analysis method.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.4
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• pp.149-155
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• 2010

This paper was carried out to estimate pollution levels of various insulators in tunnel and establish cleaning period in each tunnel section. We estimate pollution level that is attached to insulators in environmental pollution area, industrial area, salt damage area. These results that the pollution quantity and conductivity were increased by pollution accumulation period. However, the conductivity showed each other big difference in each tunnel. In particular, the conductivity showed big in environmental pollution(tunnel A) and salt damage(tunnel C) area, It is considered to prevent accident that manage establishing periodic state of cleaning plan. Also, the Grease that spread on the insulator surface in existing is considered that it can prevent accident for long-term by restrain use.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.637-644
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• 2017

This paper is based on the information left on SNS by the experienced tourist and, First, the tourist gathers various tourist information from SNS through Smart Tourism as suggested, Second, providing scheduling information for future tourist and the future tourist can modify and apply the information from experienced tourist. Third, the goal of this study is to design virtual tourism service based on above services where future tourist can post and modify tourism scheduling. Therefore, it is to obtain the effect of providing reliable tourism service to maximize the satisfaction of the tour through matching process between experience experiences and experience schedule.