• Journal of Information Technology Applications and Management
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• v.28 no.1
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• pp.53-61
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• 2021

The year 2020 was a time when the coronavirus infections-19 (COVID-19) caused various changes in society. In particular, the fields that have been conducted face-to-face have been greatly confused by the transition to an online non-face-to-face method, and this is the case with the field of education. There are two main advantages of offline education. The first is that we can improve our understanding through communication with teachers, and the second is that we can develop social skills through interaction with friends. But as online classes progressed due to corona 19, interaction could not be achieved. As a result, the motivation for learning has been reduced due to difficulties in real-time feedback, and the participation rate has been significantly lowered, especially in lower grades, raising concerns about the learning gap that will occur after corona 19. However, there are some cases in which online classes were conducted as effectively as offline classes by utilizing various contents. What they have in common is the use of content. Teachers generally improved the quality of education by linking interesting sights and videos that enhance learning comprehension. The provided video conveys learning-related content into stories, enabling intuitive observation. Many students were already enjoying these videos through VOD (Video on Demand) such as TV and YouTube, they were able to connect their easy access to content and interest in learning. Appropriate use of video content has rather increased the learning effect and should continue after corona 19. Therefore, it is necessary to study methodologies that apply video content efficiently to education. This study looked at the steps that needed content application through the development of education programs, and observed its meaning. Students were curious about the content, motivated to learn and participated in learning on their own. Intuitive learning, conducted through appreciation, play and content production, provided an opportunity to learn on their own in everyday life.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1202-1208
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• 2020

In line with the current era of the 4th Industrial Revolution, it is necessary to prepare for the future by integrating AI elements in the ship sector. In addition, it is necessary to respond to this in the field of power management for the appearance of autonomous ships. In this study, we propose a battery-linked electric propulsion system (BLEPS) algorithm using machine learning's DNN. For the experiment, we learned the pattern of ship power consumption for each operation mode based on the ship data through LabView and derived the battery status through Python to check the flexibility of the generator and battery interlocking. As a result of the experiment, the low load operation of the generator was reduced through charging and discharging of the battery, and economic efficiency and reliability were confirmed by reducing the fuel consumption of 1% of LNG.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.910-916
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• 2021

In modern society, various digital communication equipment is being used due to the influence of the 4th industrial revolution. Accordingly, interest in removing noise generated in a data transmission process is increasing, and research is being conducted to efficiently reconstruct an image. In this paper, we propose a filtering algorithm to remove the AWGN generated in the digital image transmission process. The proposed algorithm classifies pixels with high similarity by selecting regions with similar patterns around the input pixels according to block matching to remove the AWGN that appears strongly in the image. The selected pixel determines the estimated value by applying the weight obtained by the local steering kernel, and obtains the final output by adding or subtracting the input pixel value according to the standard deviation of the center mask. In order to evaluate the proposed algorithm, it was simulated with existing AWGN removal algorithms, and comparative analysis was performed using enlarged images and PSNR.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.223-233
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• 2018

The forces to protect people's life and property against the enemy attack is an organization which is regulated by the constitutional law. In terms of nature, its security is a significant factor to determine success or failure for the war. However, recently the 4th industrial revolution represents the rapid change in the advancement of civilization and technology. It can influence on the environment of military security which can make various changes. Unless taking proper action againsty these changes, it can inflict a vital harm for the organization of forces and its internal security. In this aspect, this study discuss new threats of the military security, above all, the most technical improvements and harms for the drones in terms of security. In addition, the advantages and disadvantages of drones which can influence on the ragions of military command and control, information operations, maneuvers, firepower, operation sustainment supports are analyzed. Moreover, this study set the purpose of developmental security measure for security threats in the aspects of military security.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.229-235
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• 2021

Blockchain, recognized as one of the core technologies of the 4th industrial revolution, is an Internet-based distributed data management system which does not require centralized control. Blockchain is characterized by the integrity and reliability of information, and blockchains can be used where such characteristics are required. Typical applications of blockchain include finance, transaction, and evaluation management. In this paper, we designed a blockchain-based evaluation management system that allows users to freely create and manage evaluation instances. Evaluation managers can create an evaluation instance according to their purpose and allocate evaluation items and evaluators. When the evaluators finish evaluating the evaluation items, the evaluation manager can aggregate the evaluation results for the instance. Someone, who want to perform evaluation for various purposes but do not have an evaluation system, can implement the evaluation system relatively simply by using this system. In addition, due to the characteristic of the blockchain, evaluators cannot modify the evaluation scores they have already recorded, and neither the system administrator nor the evaluation administrator can modify the evaluation scores. For this reason, the reliability of the evaluation increases.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.171-177
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• 2022

The purpose of this study is to derive the combat effect by applying combat experiments when operating a future manned/unmanned mixed infantry squad that combines the technology according to the development of advanced science and technology along with changes in the 4th industrial revolution. Contrary to conventional battles involving humans and manually-operated weaponry, modern-day warfare relies on unmanned, automated and intelligence technologies. In order to respond to these changes and prepare for future warfare, the combat effect of future manned and unmanned mixed infantry squads through combat experiments in terms of finding ways to supplement the structure of the squad that conducts direct combat as the most basic organization of the army was measured, and it was confirmed that there was an effect to a certain extent. When seeking the development of the future manned/unmanned mixed infantry squad unit structure, if the AWAM model is used in various combat situations, it will help to find a more optimized future manned/unmanned mixed infantry squad unit structure.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.3
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• pp.110-115
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• 2021

With the era of the 4th Industrial Revolution, education on artificial intelligence is one of the important topics. However, since existing education is aimed at knowledge, it is not suitable for developing the active problem-solving ability and AI utilization ability required by artificial intelligence education. To solve this problem, we proposes PBL-based education method in which learners learn in the process of solving the presented problem. The problem presented to the learner is a completed project. This project consists of three types: a classification model, the training data of the classification model, and the block code to be executed according to the classified result. The project works, but each component is designed to perform a low level of operation. In order to solve this problem, the learners can expect to improve their computational thinking skills by finding problems in the project through testing, finding solutions through discussion, and improving to a higher level of operation.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.27-33
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• 2021

With increasing interest in key areas of the 4th industrial revolution such as artificial intelligence, deep learning and big data, scientific approaches have developed in order to overcome the limitations of traditional decision-making methodologies. These scientific techniques are mainly used to predict the direction of financial products. In this study, the factors of apartment prices, which are of high social interest, were analyzed through SOM. For this analysis, we extracted the real prices of the apartments and selected a total of 16 input variables that would affect these prices. The data period was set from 1986 to 2021. As a result of examining the characteristics of the variables during the rising and faltering periods of the apartment prices, it was found that the statistical tendencies of the input variables of the rising and the faltering periods were clearly distinguishable. I hope this study will help us analyze the status of the real estate market and study future predictions through image learning.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.443-451
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• 2021

Most universities are attempting educational innovation through multidisciplinary approaches, such as interdisciplinary programs and convergent majors, to nurture convergent talents in the era of the 4th Industrial Revolution. The purpose of this study is to identify the priorities of the educational needs of students who complete the interdisciplinary program and to find its effective operation plan. For this purpose, research was conducted to search for the university-level support required to vitalize the interdisciplinary program by doing focus group interviews with students who have participated in the interdisciplinary program. And the final priority was derived by applying the t-test, Borich's need assessment model, and The Locus for Focus Model, using online research. As a result of the analysis, 'formation and operation of dedicated organizations' and 'dedicated classrooms and practice rooms' were deduced as factors to be considered as a top priority, 'curriculum specialization,' 'interdisciplinary program scholarship support,' 'interdisciplinary program promotion,' and 'assignment of dedicated teaching assistants' were derived as secondary consideration factors. Based on these research results, a plan of vitalizing the educational needs for the interdisciplinary program at university and its implications were suggested.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.375-381
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• 2022

The purpose of this study is to find out the spatial expression characteristics of Philipstock from a heterotopic perspective in the background of the times of modern people struggling to live in the era of an infectious disease called COVID-19 along with the era of the 4th industrial revolution. As for the research method, a total of 11 places were selected, focusing on the completed works of interior space from 2015 to the present, when they are more active after retirement, to find out the characteristics of spatial expression through literature and case studies. As a result, the spatial expression characteristics of narrative that only space has were the most frequent, and it was found that the characteristics of imaginary space and fantasy, which are the form of overlapping time to express a place, were interrelated. Philip Stock's design method, which uses narrative, fantasy, and imaginary spatial characteristics, can be seen as sufficiently representing heterotopic characteristics and can be used as another design methodology when designing a new space.