• The Journal of Bigdata
• /
• v.6 no.1
• /
• pp.23-35
• /
• 2021

In the era of the 4th industrial revolution, smart factories have received great attention, where production and manufacturing technology and ICT converge. With the development of IoT technology and big data, automation of production systems has become possible. In the advanced manufacturing industry, production systems are subject to unscheduled performance degradation and downtime, and there is a demand to reduce safety risks by detecting and reparing potential errors as soon as possible. This study designs a model based on supervised and unsupervised learning for detecting anomalies. The accuracy of XGBoost, LightGBM, and CNN models was compared as a supervised learning analysis method. Through the evaluation index based on the confusion matrix, it was confirmed that LightGBM is most predictive (97%). In addition, as an unsupervised learning analysis method, MD, AE, and LSTM-AE models were constructed. Comparing three unsupervised learning analysis methods, the LSTM-AE model detected 75% of anomalies and showed the best performance. This study aims to contribute to the advancement of the smart factory by combining supervised and unsupervised learning techniques to accurately diagnose equipment failures and predict when abnormal situations occur, thereby laying the foundation for preemptive responses to abnormal situations. do.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.3
• /
• pp.268-278
• /
• 2021

Technologies that are leading the fourth industrial revolution, such as the Internet of Things (IoT), big data, artificial intelligence (AI), and cyber-physical systems (CPS) are developing and generalizing. The demand to improve productivity, economy, safety, etc., is spreading in various industrial fields by applying these technologies. Digital twins are attracting attention as an important technology trend to meet demands and is one of the top 10 tasks of the Korean version of the New Deal. In this study, papers, magazines, reports, and other literature were searched using Google. In order to investigate the contribution or role of geospatial information in the digital twin application, the definition of a digital twin, we investigated technology trends of domestic and foreign companies; the components of digital twins required in manufacturing, plants, and smart cities; and the core techniques for driving a digital twin. In addition, the contributing contents of geospatial information were summarized by searching for a sentence or word linked between geospatial-related keywords (i.e., Geospatial Information, Geospatial data, Location, Map, and Geodata and Digital Twin). As a result of the survey, Geospatial information is not only providing a role as a medium connecting objects, things, people, processes, data, and products, but also providing reliable decision-making support, linkage fusion, location information provision, and frameworks. It was found that it can contribute to maximizing the value of utilization of digital twins.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.13 no.6
• /
• pp.489-495
• /
• 2020

The amount of data is increasing through various IT devices in a hyper-connected society where the 4th revolution is progressing, and new value can be created by analyzing that data. This paper was collected total 1,526 articles from 2017 to 2019 in central magazines, economic magazines, regional associations, and major broadcasting companies with the keyword "(East Coast Tourism or East Coast Travel) and Gangwon-do" through Bigkinds. It was performed the topic modeling using LDA algorithm implemented in the R language to analyze the collected 1,526 articles. It was extracted keywords for each year from 2017 to 2019, and classified and compared keywords with high frequency for each year. It was setted the optimal number of topics to 8 using Log Likelihood and Perplexity, and then inferred 8 topics using the Gibbs Sampling method. The inferred topics were Gangneung and Beach, Goseong and Mt.Geumgang, KTX and Donghae-Bukbu line, weekend sea tour, Sokcho and Unification Observatory, Yangyang and Surfing, experience tour, and transportation network infra. The changes of articles on East coast tourism was was analyzed using the proportion of the inferred eight topics. As the result, the proportion of Unification Observatory and Mt. Geumgang showed no significant change, the proportion of KTX and experience tour increased, and the proportion of other topics decreased in 2018 compared to 2017. In 2019, the proportion of KTX and experience tour decreased, but the proportion of other topics showed no significant change.

• Journal of The Korean Association of Information Education
• /
• v.24 no.5
• /
• pp.511-518
• /
• 2020

Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.53-61
• /
• 2022

Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.4
• /
• pp.791-800
• /
• 2021

British housing types began with detached houses using wood based on early Germanic cultures, and gradually divided into multi-story houses such as terraces houses, with the influx of houses using stone from Latin cultures influenced by France. Today, various types of housing types such as detached houses, townhouses, and apartments are mixed, and their origins can be found in housing types that have continued from the past. Housing types existing in the UK continue their context through this historical development process, but housing types in the UK also have been combined with those of other cultures, leading to modern housing types. In this paper, we examine the process of the UK's peculiar development of housing types superimposed with the recurring motion to the traditional European urban structures prior to the industrial revolution during contemporary years, and perimeter block collective housings of today; then, we study the process of applying the UK case as a concept of practical design and planning in order to continuously consider Korea's modern urban structure and corresponding types of housing. Through this process, we explore the identity of the housing type in Korea, which is pursuing fundamental changes in residential culture beyond quantitative housing supply in the process of rapid urbanization.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.4
• /
• pp.239-252
• /
• 2022

While college students have great difficulties in preparing for their careers due to the long-term COVID-19 period and the 4th Industrial Revolution, research on positive psychological capital and self-determination factors for employment is insufficient. Based on this, this study aims to investigate the relationship between positive psychological capital and career preparation behavior through self-determination factors for college students. This study conducted a questionnaire for 350 people from April 1 to April 10, 2022, and a total of 345 copies were used for the final analysis, excluding five questionnaires for omission of records. As a result of the study, first, among positive psychological capital, hope had a positive effect on self-determination, but self-efficacy had a positive effect only on competence, and optimism had a positive effect on relationship. have been shown to affect And resilience was found to have a positive effect on autonomy and relationship. Second, among the factors of self-determination, autonomy had a positive effect on both career preparation behavior, and the relationship was found to have a positive effect only on the conversation of career preparation behavior. Using the results of this study, it is expected that it can be used as basic data for the direction and policy for college students to prepare for employment.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.742-753
• /
• 2022

Cloud computing, which is rapidly growing as one of the core technologies of the 4th industrial revolution, has become the center of global IT trend change, and Docker, a container-based open source platform, is the mainstream for virtualization technology for cloud computing. Therefore, in this paper, research trends based on Docker containers were compared and analyzed, focusing on studies published from March 2013 to July 2022. As a result of the study, first, the number of papers published by year, domestic and foreign research were steadily increasing. Second, the keywords of the study, in domestic research, Docker, Docker Containers, and Containers were in the order, and in foreign research, Cloud Computing, Containers, and Edge Computing were in the order. Third, in the frequency of publishing institutions to estimate research trends, the utilization was the highest in two papers of the Korean Next Generation Computer Society and the Korean Computer Accounting Society. In the overseas research, IEEE Communications Surveys & Tutorials, IEEE Access, and Computer were in the order. Fourth, in the research method, experiments 78(26.3%) and surveys 32(10.8%) were conducted in domestic research. In foreign research, experiments 128(43.1%) and surveys 59(19.9%) were conducted. In the experiment of implementation research, In domestic research, System 25(8.4%), Algorithm 24(8.1%), Performance Measurement and Improvement 16(5.4%) were in the order, In foreign research, Algorithm 37(12.5%), Performance Measurement and Improvement 17(9.1%), followed by Framework 26(8.8%). Through this, it is expected that it will be used as basic data that can lead the research direction of Docker container-based cloud computing such as research methods, research topics, research fields, and technology development.

• Journal of Appropriate Technology
• /
• v.6 no.2
• /
• pp.200-207
• /
• 2020

The purpose of the establishment of Fab Lab is to promote the sustainable development of local communities around the world. To this end, The Fab foundation are preparing a resource-circulating society that maintains a city's self-sufficiency rate of 50% or more by 2054. In developed countries, Fab Lab is not only a manufacturing space for startup support, but an open innovation space for learning and creation. In addition, in emerging countries, Fab Lab is playing a role as a digital production center to create and share appropriate new technologies by reflecting the needs of local communities. India has 70 Fab Labs, the largest emerging country, ahead of Russia's 48. India's Fab Lab is conducting a collaboration project through regular meetings held every six months. The subject of this study, Fab Lab Vigyan Ashram, is defined as a place to transfer the concept of digital lab to alternative schools in rural India. In this study, we looked at a case in which an alternative school for an agricultural community called Vigyan Ashram, the modern version of the Gurukula system, successfully combined with the digital fabrication called Fab Lab to become a new citizen-led making community of the 4th Industrial Revolution. Based on this, we explored the development model of the Indian Fab Lab that fits the local situation.

• Journal of Appropriate Technology
• /
• v.7 no.1
• /
• pp.102-114
• /
• 2021

India has recently experienced an acute crisis confronting the COVID-19 pandemic as confirmed cases exceeded 11.73 million in March 2021, which was the second worst scale only after the United States. The strict lockdown measures as well as the pandemic itself posed a serious threat of survival, in particular, to immigrant workers engaged in informal sectors, which triggered their reverse immigration. In case the COVID-19 pandemic continues in 2021, it is estimated that in the sector of tourism and service alone, more than 20 million jobs will disappear. The damage on industry is already being realized with the significant decrease of workforce. It is important to note, however, that jobless growth and labor polarization were observed even before the outbreak of COVID-19, and that the pandemic only served as one of the trigger catalysts that made those submerged problems burst out. In this study, we examine the structural problems in industry and labor market in India and consider the social context and efficacy of the "Make in India" or "Atmanirbhar Bhrat" policy. The latter initiative was presented in the trenches of the pandemic in 2020. While considering the complexity of problems, we would like to pursue a future-oriented approach and propose a direction in restructuring the labor market, attempted at reversing the critical conditions following the fourth industrial revolution and digitization into the shortcut to labor market restructuring.