• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.27-32
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• 2018

IoT technology is developing with various application areas in $4^{th}$ Industrial revolution. There are many users using the application services. Sensing data from various environment need to be transferred to cloud computing storage and store in the cloud storage. However, physical distance from the end node to cloud computing storage is far away, and it is not efficient to transfer data from sensors and store the sensing data in the cloud storage whenever sensing data happen. Therefore, Fog computing is proposed to solve these problems which can process and store the sensing data. However, Fog computing is new emerging technology, there is no standard security model and requirements. This research proposes to security requirements and security model for Fog computing to establish a secure and efficient cloud computing environment.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.115-126
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• 2017

Organizational trust is recognized as a factor that is directly linked to the organization's success in the sudden change represented by the 4th Industrial Revolution and uncertainties. This study selected trust and distrust as separate concepts and verified the structural relationship between organizational justice, psychological contract, trust, distrust, and turnover intention. Organizational justice was significant as a antecedents of distrust, whereas psychological contract was antecedents of trust, and distrust only had a significant effect on turnover intention. This result supports that trust and distrust are not one dimensions but two separate concepts. Also, organizational justice had no direct effect on turnover intention and only indirect effect through distrust was significant. This study has implications for both theoretical and practical aspects in terms of identifying the differential effects of trust and distrust.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.10
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• pp.1320-1326
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• 2018

Digital video equipment is important in the 4th industrial revolution and is widely used in different fields for various purpose. Data of digital video equipment is exposed to noise due to different reasons including user environment and processing and such noise affect output and processing method. This can even cause error, resulting in decreased reliability of the equipment. In this research, it offers algorithm to effectively recover video by removing noise and impulse noise occurring during the process of channel delivery. This proposed algorithm recovers video by exploring valid pixel using directional local mask and noise determination. Then, valid pixel calculated goes through the final output calculation through comparative analysis on estimation. For comparing suggested method and algorithm, simulation is carried out. For checking the function of it, PSNR and profile are analyzed.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.81-89
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• 2019

In order to foster talented people needed for the 4th Industrial Revolution, learner-centered classes that meet the characteristics and needs of students are needed. In particular, the learner-centered student-active class is more meaningful for gifted students who have diverse needs and interests. In order to meet these demands, this study developed a learner-centered science gifted education teaching-learning model based on flipped learning, and analyzed various results revealed after applying the developed program to the gifted class. Based on the results, we proposed a plan for more efficient operation of future learner-centered science gifted education programs.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.769-778
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• 2021

Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.138-139
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• 2019

In the era of the 4th industrial revolution, automated technology innovation is emerging, and container terminals are being developed to introduce automation equipment and systems. With the advent of ultra-large vessels, terminals around the world are seeking to build port infrastructure by combining automated technology in order to attract more cargo and to enhance competitiveness to provide prompt service. To introduce automated technology that is emerging as a high-tech industry, this study proposes a structural equation model for the decision to introduce automated container terminal and conducts a questionnaire survey on workers engaged in terminal operators for empirical analysis. This paper presents the role and direction of guidelines for introduction of automated container terminal through decision model.

• Convergence Security Journal
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• v.23 no.1
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• pp.97-107
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• 2023

With the popularization of digital devices in the era of the 4th industrial revolution and the increase in cyber crimes targeting them, the importance of securing digital data evidence is emerging. However, the difficulty in securing digital data evidence is due to the use of anti-forensic techniques that increase analysis time or make it impossible, such as manipulation, deletion, and obfuscation of digital data. Such anti-forensic is defined as a series of actions to damage and block evidence in terms of digital forensics, and is classified into data destruction, data encryption, data concealment, and data tampering as anti-forensic techniques. Therefore, in this study, anti-forensic techniques are categorized into data concealment and deletion (obfuscation and encryption), investigate and analyze recent research trends, and suggest future anti-forensic research directions.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.53-58
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• 2024

IoT, Big-data, AI, and Cloud technologies, which are core technologies of the 4th Industrial Revolution, have recently been applied to various fields and are being used as core technologies for new growth engines. Accordingly, these core technologies are applied to the agricultural field without exception, contributing to solving the problem of labor shortage, reducing production costs, and reducing environmental burden through remote and automated production without time and space constraints. However, as these core technologies are utilized, security incidents are occurring in the agricultural field as well. Accordingly, this study divides smart farms into three stages(Basic, Middle, and High) and presents the characteristics and security threats of each stage. In particular, as the number of container-based services and research increases under cloud platforms, we would like to suggest countermeasures focusing on security threats.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.610-620
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• 2023

The interest in the aircraft interior market is gradually growing due to technological development based on the 4th industrial revolution and competition for airlines to attract customers, and as part of that, Cabin Display System (CDS) for FAA Part.25 civil aircraft is being developed in Korea. The CDS is a system that provides various multimedia services to passengers by utilizing Flexible and Transparent Organic Light Emitting Diodes (OLED) with Integrated Display Processing Module (IDPM). This paper presents a new method for efficient Data Load Process of large-sized files and deals with their implementation and performance. The results of this study are expected to be applied to Data Load Process development of avionics that require reliable large-capacity file transmission along with reducing the costs of development compared to existing ARINC-615A.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.55-59
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• 2022

Recently, IoT technology has great attention and plays a key role in 4^th industrial revolution in order to design customized products and services. Additive Manufacturing (AM) is applied to fabricate IoT sensor directly or IoT sensor embedded structure. Also, design methods for AM are developing to consolidate various parts of IoT devices. Part consolidation leads to assembly time and cost reduction, reliability improvement, and lightweight. Therefore, a design method was proposed to guide designers to consolidate parts. The design method helps designers to define product architecture that consists of functions and function-part relations. The product architecture is converted to a network graph and then Girvan Newman algorithm is applied to cluster the graph network. Parts in clusters are candidates for part consolidation. To demonstrate the usefulness of the proposed design method, a case study was performed with e-bike fabricated by additive manufacturing.