• Convergence Security Journal
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• v.21 no.3
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• pp.93-104
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• 2021

Today, due to the development of the 4th industrial revolution such as artificial intelligence, the security threat of the military organization is increasing. A study that can contribute to complying with military security is needed by studying the effects of influence factors occurring in this changing or newly emerging security environment on information security stress and security compliance behavior intention. In previous studies, task overload, task complexity, task uncertainty, and task conflict were extracted among environmental influencing factors that cause security stress. We empirically analyzed how these influencing factors affect security stress and whether they play a mediating role in security stress. As a result of the analysis, it was analyzed that the security stress was affected in the order of task overload, task conflict, and task uncertainty. Information security stress did not significantly affect security compliance behavior intention, but it was found to mediate the effect of task overload on security compliance behavior intention. This causes information security stress due to heavy security work in the military organization, which ultimately leads to lower security compliance behavior. Therefore, the security policy to manage this situation should be promoted first.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.1
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• pp.35-44
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• 2021

Recent advances in the 4th Industrial Revolution have accelerated the change of the working environment, such that the paradigm of education has been shifted in accordance with career education including the free semester system and the high school credit system. While the purpose of those systems is students' self-motivated career exploration, educational limitations for teachers and students exist due to the rapid change of the information on education. Also, education technology research to tackle these limitations is relatively insufficient. To this end, this study first defines three requirements that education technologies for the career education system should consider. Then, through data-driven artificial intelligence technology, this study proposes a data system and an artificial intelligence recommendation model that incorporates the topics for career exploration, courses, and majors in one scheme. Finally, this study demonstrates that the set-based artificial intelligence model shows satisfactory performances on recommending career education contents such as courses and majors, and further confirms that the actual application of this system in the educational field is acceptable.

• Journal of Appropriate Technology
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• v.7 no.2
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• pp.188-195
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• 2021

In recent years, additive manufacturing (AM) processes have emerged as an important manufacturing technology for a multi-item small sized production to lead the 4th industrial revolution. The layer-by-layer deposition characteristics of AM process can rapidly produce physical parts with three-dimensional geometry and desired functionality in a relatively low cost environment. The goal of this paper is to investigate the applicability of AM process to appropriate technologies for developing countries. Through the review of examples of appropriate technology of the AM process, the possibility of a practical usage of the AM process for the appropriate technologies is examined. In addition, significant applications of the AM process to the appropriate technology are introduced. Finally, future issues related to production of physical parts for developing countries using the AM process are discussed from the viewpoint of the appropriate technology.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1207-1212
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• 2022

Realistic media, the next-generation media technology in the era of the 4th industrial revolution, is becoming an issue as a technology to experience through an environment that optimizes user experience, especially! It is rapidly developing into the health and healthcare convergence and complex fields. Realistic media technologies and services are being adopted to solve the problems of the increase in chronic diseases due to the increase in the elderly population and the lack of infrastructure and professional manpower in the fields of cognitive training and rehabilitation. Therefore, in this study, a cognitive training system was designed and implemented for the purpose of improving cognitive ability and daily life activity in subjects with mild cognitive impairment (MCI) who require cognitive rehabilitation. In the future, an integrated service platform with interactive communication and immediate feedback as an intelligent cognitive rehabilitation integrated platform based on AI and BigData is left as a research project.

• Smart Media Journal
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• v.12 no.2
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• pp.76-82
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• 2023

In the 4th industrial revolution, the blockchain that distributes and manages data through a P2P network is used as a new decentralized networking paradigm in various fields such as manufacturing, culture, and public service. However, with the advent of quantum computers, quantum algorithms that are able to break existing cryptosystems such as hash function, symmetric key, and public key cryptography have been introduced. Currently, because most major blockchain systems use an elliptic curve cryptography to generate signatures for transactions, they are insecure against the quantum adversary. For this reason, the research on the quantum-resistant blockchain that utilizes lattice-based cryptography for transaction signatures is needed. Therefore, in this paper, we propose a blind signature scheme for the blockchain in which the contents of the signature can be verified later, as well as signing by hiding the contents to be signed using lattice-based cryptography with the property of quantum resistance. In addition, we prove the security of the proposed scheme using a random oracle model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.627-628
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• 2022

There is no internationally accepted codified definition of digital trade because of the wide variety and scope of related industries and transactions(product + service + data) in general. Recently, innovative changes are taking place in digital trade due to the development of technologies such as IT due to the 4th industrial revolution, and advanced countries such as the US, EU, and Japan are including digital trade issues such as data movement liberalization in the negotiation agenda of the digital trade agreement. The issue with the liberalization of cross-border data movement is that freedom of data movement is necessary to vitalize digital trade, but it also increases the risk of information security and privacy violations. Looking at the directions of advanced countries, the US favors minimization of regulations, Europe favors regional single marketization, but passively opens up to the outside world, and China promotes independent markets through regulations. Therefore, measures to strengthen restrictions on cross-border data movement are an issue that has recently been implemented by each country or an international aggrement is scheduled to be reached soon, and Korea also needs a close response.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.54-55
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• 2020

In 4th Industrial Revolution, technologies such as artificial intelligence, Internet of Things, and Big data are closely related to the maritime industry, which led to the birth of autonomous vessels. Due to the technical characteristics of the current vessel, the speed cannot be suddenly lowered, so complex communication such as the help of a tug boat, boarding of a pilot, and control of the vessel at the onshore control center is required to berth at the port. In this study, clustering analysis was used to resolve how to establish control criteria for vessels to enter port when autonomous vessels are operating. K-Means clustering was used to quantitatively stage the arrival pattern based on the accumulated AIS(Automatic Identification System) data of the incoming vessel, and the arrival phase using SOG(Speed over Ground), COG(Course over Ground), and ROT(Rate of Turn) Was divided into six phase.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.187-198
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• 2020

In this paper, We purpose an improvement plan for the settlement of smart contracts into legal norms through the recognition of the norms of blockchain-based smart contracts and the main influence factors on the norms of smart contracts. First, in terms of the normative necessity of smart contracts, legal protection against technical errors, government-level public relations education, and basic laws governing smart contract business are needed. Second, the contract norms will be accepted by the contract norms based on the blockchain designed to make the responsible material clear in terms of smart contract usability. Third, in terms of regulation of smart contracts, it can be seen that smart contracts are subsumed from existing laws or considering new legislation, but the norm of smart contracts cannot be prioritized over ease of use.

• Journal of Technology Innovation
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• v.26 no.3
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• pp.1-36
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• 2018

In the era of the 4th Industrial Revolution, it is important for companies to understand the changing environment by converging various technologies and to respond to the changing business environment. In this study, we conducted a social network analysis on 10 firms in the automotive industry, which have recently been accelerating their competition for technology development, by extracting convergence patents co-classified in two or more of the US registered patents in the last 6 years. As a result, it has been confirmed that the number of technology related to the convergence of the automotive field is greatly increasing, and the convergence between the technologies is becoming stronger. In addition, Volkswagen, Ford and Hyundai showed significant changes in technology convergence. They were analyzed as having a change in strategy in eco-friendly automotive technologies. This study suggests various ways for companies to utilize the results of network analysis more meaningfully.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.675-690
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• 2017

Preparing the 4th industrial revolution age, a diagnostic assessment management system which can collect nationwide data has been implemented and utilized for the development of the evidence-based educational policy. This study aims to develop heuristics to help to improve usability of such systems, which are utilized by primary and middle school community including teachers and students in the nationwide. To achieve the objective, previous studies related to the development of heuristics in the educational contexts as well as basic heuristics from Nielsen were reviewed, and usability problems of the web-based diagnostic-supplement system being currently utilized, as a sample system, were analyzed. Then, the first version of heuristics was developed. The developed heuristics were validated and revised through 2 rounds of the delphi methods with 15 experts. This study has an implication with preparing foundations on improving usability of such diagnostic assessment management system utilized by school community at the nationwide in educational contexts.