• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.185-194
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• 2020

The emergence of post-human beings in the 4th Industrial Revolution era led to an epistemological shift in the need for reflection on new relationships with non-human beings, away from human-centered modern humanism. For this reflection, post-human sensibility to empathize and understand the surrounding world is required. In order to cultivate this sensibility, we analyzed the case of art works that can think about and experience the post-human era based on the criteria of 'animal-becoming', 'earth-becoming', and 'machine-being' presented by post-humanist researcher Bridotti. Since the work of art reflects the spirit of the era, we confirmed the positive aspect of the text that can reflect and experience the post-human era. This study is meaningful as a basic study by presenting art works that can be used in art education to improve post-human sensitivity.

• Journal of the Korean School Mathematics Society
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• v.21 no.4
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• pp.377-400
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• 2018

With the rapid industrialization and the advent of the era of the Fourth Industrial Revolution, the importance of character education is on the rise. The purpose of this study is to develop the Instructional model that can make the school classroom as a democratic learning community based on general classes and naturally realize the character education in addition to the other subject-matter education. A draft of the instructional model was implemented to confirm that the factors of the character education in mathematics could be improved. The toughness index was measured by using the Character Scale for School Mathematics(CSSM) before and after implementation. Based on the results of the measurement, we completed a P (personal) instruction model and a S (social) instruction model that can enhance the factors of the character education in mathematics based on the democratic learning community through the advisory committee.

• Convergence Security Journal
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• v.23 no.4
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• pp.122-129
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• 2023

The paradigm of warfare is undergoing a revolutionary transformation due to the advancements in technology brought forth by the Fourth Industrial Revolution. Specifically, the U.S. military has introduced the concept of mosaic warfare as a means of military innovation, aiming to integrate diverse resources and capabilities, including various weapons, platforms, information systems, and artificial intelligence. This integration enhances the ability to conduct agile operations and respond effectively to dynamic situations. The incorporation of mosaic warfare could facilitate efficient and rapid command and control by integrating AI staff with human commanders. Ukrainian military operations have already employed mosaic warfare in response to Russian aggression. This paper focuses on the mosaic war fare concept, which is being proposed as a model for future warfare, and suggests the strategy for introducing the Korean mosaic warfare concept in light of the changing battlefield paradigm.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.517-524
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• 2024

Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.668-681
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• 2020

The overseas military education, which began in 1948, and the commissioned education of professional degrees, which was implemented in 1958 to obtain a degree for a professor at the Korea Military Academy, are expected to be expanded further in order to nurture talent who will lead the future and transformation of the Army in the era of the fourth industrial revolution. However, the Army's commissioned education system has been criticized for being high-cost and low-efficiency, and the systematic evaluation of the performance of commissioned education has also been insufficient. Therefore, this study examined the transition process of commissioned education by the ROK Army. The validity of the assessment area the CIPP evaluation model for the performance evaluation of commissioned education in the Army was verified through expert Delphi survey. According to the Delphi survey, the validity of the assessment area for the performance evaluation was all appropriate and various opinions on commissioned education were obtained.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1175-1182
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• 2017

Recent trend in the manufacturing industry is focused on the convergence with IoT and Big Data, by emergence of the 4th Industrial Revolution. To realize a smart factory, the proposed system based on MTConnect technology collects and integrates various status information of machines from many production facilities including heterogeneous devices. Also it can distribute the acquisited status of heterogeneous manufacturing machines to the remote devices. As a key technology of a flexible automated production line, the proposed system can provide much possibility to manage important information such as error detection and processing state management in the unmanned automation line.

• Journal of Convergence for Information Technology
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• v.7 no.1
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• pp.55-60
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• 2017

In order to provide intelligent services without human intervention in the Internet of Things environment, it is necessary to analyze the big data generated by the IoT device and learn the normal pattern, and to predict the abnormal symptoms such as faulty or malfunction based on the learned normal pattern. The purpose of this study is to implement a machine learning model that can predict product failure by analyzing big data generated in various devices of product process. The machine learning model uses the big data analysis tool R because it needs to analyze based on existing data with a large volume. The data collected in the product process include the information about product faulty, so supervised learning model is used. As a result of the study, I classify the variables and variable conditions affecting the product failure, and proposed a prediction model for the product failure based on the decision tree. In addition, the predictive power of the model was significantly higher in the conformity and performance evaluation analysis of the model using the ROC curve.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.142-151
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• 2018

In the era of the 4th Industrial Revolution, research and development on autonomous vehicles have been actively conducted all over the world. Under these international trends, the Ministry of Land, Infrastructure and Transport is actively promoting the development of autonomous vehicles aiming at commercialization of autonomous vehicles at level 3 or higher by 2020. In the level 3 autonomous vehicle, it is essential to transfer control between the driver and the vehicle according to driving situations. Prior to the full-fledged autonomous vehicle age, this study developed a representative scenario for the safety evaluation on take-over on expressways. To accomplish this, we developed a highway driving scenario first, and then developed six control transition scenarios based on 2014 highway traffic accident data and take-over data. The variables to be considered in the developed scenarios are divided into drivers, vehicles, and environmental factors. A total of 36 variables are selected.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.11-23
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• 2018

In order to cultivate human resources to live in the 4th industrial revolution era, software (SW) education became mandatory in the 2015 revised curriculum. Furthermore the science mathematics informatics education promotion law was enacted to emphasize the importance of software convergence education. Therefore, it is necessary to study how to converge and educate mathematics and science with software education to solve problems in real life and various disciplines. This study is to find the directions and effectiveness of software convergence education through content analysis of the software mathematics science convergence teaching and learning materials, which are recently developed and distributed by the Ministry of Education et al. The results of this research are expected to suggest implications to future researches about software, mathematics and science convergence education.