• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.167-168
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• 2020

In line with the low growth trend of the global economy, shipping companies and port companies are experiencing various management difficulties. However, at this time when the growth trend is stagnating, attempts to solve the breakthrough in growth with the technology of the 4th industrial revolution are occurring in various industries and technologies. In this study, in order to facilitate the construction of smart ports in the future, we will look at the current port system in Korea, and in the sense of the need for a basic study to diagnose the direction for more smooth policy introduction and technology introduction, Related exploratory studies were conducted. To achieve the purpose of this study, various previous studies were reviewed, news articles related to ports, reports of the Ministry of Oceans and Fisheries, and foreign literature were reviewed in a variety of ways, and based on this, we intend to present smart port introduction tasks and improvement plans.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.409-416
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• 2020

Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.

• 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.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.111-126
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• 2017

Korea came to see its first internet bank as 'K bank' obtained the digital-only banking license in December 2016. This paper suggests ways to foster internet banks of Korea in their early stage by analyzing the successful cases of overseas internet banks. The followings are the key success factors identified from those cases across Europe, Japan, China, and USA: Support from the related government authorities; Stable governance structure; Distinct business capabilities based on information & communications technology(ICT). These points lead to the following implications for Korean internet banks. Regulatory restrictions on owning and running internet banks should be lifted to facilitate innovation. Policies to support internet bank industry should be introduced as it is a vital part of the 4th industrial revolution. Finally, internet banks should strive to differentiate themselves by utilizing their ICT capabilities. Subjects of the further research hereafter should include the following: Analyzing the ongoing performance and developments of digital banks in Korea; Deriving success factors from the analysis; Assessing the influence and effects on financial market and economic environment.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.177-188
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• 2020

In the digital world, creative industries such as music, movies, and drama have been the most impacted by digital transformation. As these contents were converted to a digital format of 0s and 1s, the business model changed and so did the rules of competition in the market. Apple, Spotify, and Netflix were quick to ride the digital transformation wave to become market leaders in the creative industry. This study reviews case studies in the creative industry to grasp the important factors necessary for market restructuring using digital technology. It was found that companies that set visions, platform, and open innovation as business strategies were able to achieve critical mass and become market leaders. These three elements are commonly found in the contents industry. On the other hand, companies that did not embrace digital innovation have become victims of digital darwinism. By analysing the experience of digital product innovation through case studies in the creative industry, we can derive implications for digital transformation in the 4th industrial revolution.

• Journal of Advanced Navigation Technology
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• v.25 no.5
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• pp.336-343
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• 2021

Avionics corresponds to the brain, nerves and five senses of an aircraft, and consists of aircraft mounted electronic equipment of communication, identification, navigation, weapon, and display systems to perform flight and missions. It occupies about 50% of the aircraft system, and its importance is increasing as the technology based on the 4th industrial revolution is developed. As the development period of the aircraft is getting shorter, it is definitely necessary to develop a stable avionics SIL in a timely manner for the integration and verification of the avionics system. In this paper, we propose a method to replace the legacy SIL with the avionics simulation model framework based one and evaluate the framework based on the result of alternative application.

• Convergence Security Journal
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• v.18 no.3
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• pp.133-140
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• 2018

As the core technology of the 4th Industrial Revolution is applied to drone, the potential for growth in the field of unmanned aerial vehicles is very large, and the utilization of civilian & military fields in the domestic & foreign is increasing rapidly. Because application areas of drone in the civilian field is various, it is excellent in terms of cost effectiveness and high value in utilization when it is used for military operation support mission. Especially, in the case of the Air Force, it is expected that military usage effectiveness will be high if drone replaces various air operations support missions such as aircraft inspection, supply of military supplies, base security. We find out the missions that can utilize drones for military operations support and propose the recommendation and data management plan accordingly. We recommend the most suitable drones and equipment that perform similar missions in the private sector and propose the data modeling of relational database.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.51-61
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• 2021

In the era of the 4th industrial revolution symbolized by the Internet of Things, big data and artificial intelligence, various embedded devices are increasing exponentially. These devices have communication functions despite their low specifications, so the possibility of personal information leakage is increasing, and security threats are also increasing. Embedded devices can have security issues at most levels, from hardware to services over the network. In addition, it is difficult to apply general security techniques because it has characteristics of resource constraints such as low specifications and low power, and the related technology has not been standardized. In this study, we present vulnerabilities and possible problems and considerations in applying SDN to embedded devices in consideration of structural characteristics and real-world discovered cases. This study presents vulnerabilities and possible problems and considerations when applying SDN to embedded devices. From a hardware perspective, we consider the problems of Wi-Fi chips and Bluetooth, the problems of open flow implementation, SDN controllers, and examples of structural properties. SDN separates the data plane and the control plane, and provides a standardized interface between the two, enabling efficient communication control. It can respond to the security limitations of existing network technologies that are difficult to respond to rapid changes.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.47-53
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• 2021

With increasing interest in the 4th industrial revolution, data-driven scientific methodologies have developed. However, there are limitations of data collection in the real estate field of research. In addition, as the public becomes more knowledgeable about the real estate market, the qualitative sentiment comes to play a bigger role in the real estate market. Therefore, we propose a method to collect quantitative data that reflects sentiment using text mining and k-means algorithms, rather than the existing source data, and to predict the direction of housing index through artificial neural network learning based on the collected data. Data from 2012 to 2019 is set as the training period and 2020 as the prediction period. It is expected that this study will contribute to the utilization of scientific methods such as artificial neural networks rather than the use of the classical methodology for real estate market participants in their decision making process.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.307-312
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• 2022

In line with the 4th industrial revolution and the innovative changes of the 21st century knowledge and information society, the education field where the 2015 revised curriculum is applied is facing a situation where it is necessary to consider various teaching and learning methods. Among them, interest in instructional design applying flipped learning suitable for future education is growing, but studies on classes using flipped learning in actual music and education are rare. In general music classes currently conducted in the elementary education field, it is insufficient to learn the musical function targeted in the class. Therefore, this study developed and validated an instructional design model for elementary school music and classes that applied flipped learning based on the ADDIE model, which is a systematic instructional design model, using the design and development research methodology. Based on the developed instructional design model, major issues for each stage were presented, and major educational implications in the development process were discussed.