• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.80-83
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• 2006

In this paper I intended to confirm the concept of u-City as the real space in which citizens live, not as the virtual city in cyber space, and also I try to suggest the way of considering about u-City on the scope of physical planning from the step of communication between human and computer to the step of intelligence of computer which service to the needs by its own decision for human being.

• Asian Journal of Innovation and Policy
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• v.6 no.3
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• pp.262-273
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• 2017

Recently, the attention to the $4^{th}$ Industrial Revolution has been increasing. In the $4^{th}$ Industrial Revolution era, the boundaries between physical space, digital space, and biological space are becoming blurred because of the active convergence between various fields. There are many issues about the $4^{th}$ Industrial Revolution such as artificial intelligence, Internet of things, big data, and cyber physical system. To cope with the $4^{th}$ Industrial Revolution, an accurate analysis and technology planning need to be undertaken from a broad point of view. However, there is little research on the analysis of the major issues about the 4th Industrial Revolution. Accordingly, this study aims to analyse these major issues. Data mining such as topic modelling method is used for this analysis. This study is expected to be helpful for the researcher and policy maker of the 4th Industrial Revolution.

• Nuclear Engineering and Technology
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• v.50 no.4
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• pp.619-626
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• 2018

Most publications confirm that an ecological interface is a very efficient tool to supporting operators in recognition of complex and unusual situations and in decision-making. The present article describes the experience of implementation of an ecological interface concept for visualization of material balance in a drum separator of RBMK-type NPPs. Functional analysis of the domain area was carried out and revealed main factors and contributors to the balance. The proposed ecological display was designed to facilitate execution of the most complicated cognitive operations, such as comparison, summarizing, prediction, etc. The experimental series carried out at NPPs demonstrated considerable reduction of operators' mental load, time of reaction, and error rate.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.85-86
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• 2017

본 연구는 노인복지관 사회복지사들을 대상으로 LMX, TMX를 높이기 위하여 조직문화 감성지능의 영향을 실증적으로 검증하였다. 본 연구는 경기도 지역의 150 노인복지관을 대상으로 총 315부의 설문조사를 실시하였다. 조사는 우편으로 진행하였고, 회수된 설문지는 총 33개 기관 189부이다. 조사기간은 2016년 1월부터 두달간 이루어졌고 요인분석, 기술통계, 다중회귀분석방법으로 분석하였다. 분석결과, 관계문화와 사회복지사의 감성지능이 LMX, TMX에 정적인 영향을 보였다. 이러한 결과를 토대로 노인복지관의 구성원들의 수평적, 수직적 상호관계를 증진하기 위하여 관계문화의 형성이 필요하며, 구성원들의 감성지능의 중요성을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.4
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• pp.1178-1191
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• 2014

The fault-tolerance routing problem is one of the most important issues in the application of the Internet of Things, and has been attracting growing research interests. In order to maintain the communication paths from source sensors to the macronodes, we present a hybrid routing scheme and model, in which alternate paths are created once the previous routing is broken. Then, we propose an improved efficient and intelligent fault-tolerance algorithm (IEIFTA) to provide the fast routing recovery and reconstruct the network topology for path failure in the Internet of Things. In the IEIFTA, mutation direction of the particle is determined by multi-swarm evolution equation, and its diversity is improved by the immune mechanism, which can improve the ability of global search and improve the converging rate of the algorithm. The simulation results indicate that the IEIFTA-based fault-tolerance algorithm outperforms the EARQ algorithm and the SPSOA algorithm due to its ability of fast routing recovery mechanism and prolonging the lifetime of the Internet of Things.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1321-1321
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• 2017

Recently the attention to the 4th industrial revolution has been increasing. In the 4th industrial revolution era, the boundaries of physical space, digital space, and biological space are becoming blurred since the active convergence between various fields There are a lot of issues on the 4th industrial revolution such as artificial intelligence, internet of thing, big data, and cyber physical system. Accordingly, this study aims to analyse the main issues of the 4th industrial revolution. Data mining such as topic modelling method is used for the analysis. This study is expected to be helpful for the researcher and policy maker of the 4th industrial revolution.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.470-472
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• 2019

Cyber Threat Intelligence (CTI)는 성장하는 사이버 공격에 대응하는 새로운 보안체계 개념으로써 최근 많은 조직에서 보안성을 향상시키기 위해 도입하고 있다. 조직에서 CTI의 도입은 보안 조직간의 위협 정보와 그에 대응할 수 있는 방어 전략을 공유하여 다양한 선제공격을 방어하기 위해 필수적이다. 이에 따라 CTI 위협 정보를 공유하는 조직이 점차 늘어나고 있으며 정보의 양은 점차 많아지고 있다. 하지만 정보를 공유받는 대부분의 조직이 공격자가 악의적으로 잘못된 위협 정보를 수집한 경우 또 다른 사이버 공격으로 이어질 수 있다. 본 논문에서는 CTI 정보 공유에서 사이버 위협 대응 조치 전략을 조직에 적용하기 전에 가상의 네트워크 아키텍처에서 적용시킨 후 평가 및 검증을 통해 공격을 목적으로 한 악의적인 정보가 적용되지 않도록 사전에 방어한다.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.81-87
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• 2018

Cloud computing is a computing environment in which users borrow as many IT resources as they need to, and use them over the network at any point in time. This is the concept of leasing and using as many IT resources as needed to lower IT resource usage costs and increase efficiency. Recently, cloud computing is emerging to provide stable service and volume of data along with major technological developments such as the Internet of Things, artificial intelligence and big data. However, for a more secure cloud environment, the importance of perimeter security such as shared resources and resulting secure data storage and access control is growing. This paper analyzes security threats in cloud computing environments and proposes a security architecture for effective response.

• Electronics and Telecommunications Trends
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• v.37 no.5
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• pp.1-10
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• 2022

Digital trade rules are crucial in supporting the digital economy as the rules effectively reduce unnecessary trade barriers. This study introduces various approaches that major countries take regarding digital trade policies and rules. Comprehensive and Progressive Agreement for Trans-Pacific Partnership has introduced comprehensive rules on e-commerce, including binding articles on the free flow of information, location of computing facilities, and source code. More recent e-commerce provisions or digital trade agreements cover wider range of issues, from cyber security, artificial intelligence, and data innovation to electronic invoicing and payments. Multilateral negotiations on digital trade rules, including the World Trade Organization E-commerce Joint Statement Initiatives and Indo-Pacific Economic Framework, are in progress. Thus, countries involved are expected to respond to new digital trade issues with long-term strategies considering domestic policy objectives.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.294-301
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• 2022

COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.