• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.167-168
• /
• 2009

CPS는 소프트웨어 시스템에 의해 제어되는 물리적인 디바이스들의 결합으로 엄격한 실시간 및 물리적인 자원의 제약속에서 작업을 수행한다. CPS가 다양한 분야에 응용되기 때문에 이기종 CPS 간의 통합문제도 종종 일어나게 된다. 본 논문에서는 이기종 CPS들의 상호작용을 위해 상호운용성이 높은 웹서비스 기법을 도입한다. 제안기법은 CPS 디바이스를 서비스로 추상화하여 상호운용성을 높이는 방식을 적용하였으며, CPS 디바이스를 지원하기 위해 기존 웹서비스 구조에 서비스 브로커를 추가한다. 제안기법의 서비스 브로커는 CPS 디바이스와의 의미론적 상호 운용성뿐만 아니라 수집된 정보 통합 및 서비스 합성과 디바이스 관리를 수행한다.

• Journal of Contemporary Eastern Asia
• /
• v.18 no.1
• /
• pp.189-216
• /
• 2019

The frequent occurrence of overwhelming disasters necessitates risk communication systems capable of operating effectively in disaster contexts. Few studies have examined risk communication networks during disasters through social networking services (SNS). This study therefore investigates the patterns of risk communication by comparing Korean and international networks based on the social amplification of risk communication in the context of the Sewol ferry disaster (SFD). In addition, differences in language use and patterns between Korean and international contexts are identified through a semantic analysis using KrKwick, NodeXL, and UCINET. The SFD refers to the sinking of the ferry while carrying 476 people, mostly secondary school students. The results for interpersonal risk communication reveal that the structure of the Korean risk communication network differed from that of the international network. The Korean network was more fragmented, and its clustering was more sparsely knitted based on the impact and physical proximity of the disaster. Semantic networks imply that the physical distance from the disaster affected the content of risk communication, as well as the network pattern.

• Informatization Policy
• /
• v.27 no.4
• /
• pp.67-84
• /
• 2020

This study proposes a smart city service revitalization policy based on communication facility infrastructure in 5G CPS - the core of the 4th industrial revolution, R&D, and related legislations. The 5G CPS is a converged form of ICT technologies, communications facilities, and physical systems. In this study, we propose methods of creating new services for the smart city domain based on communication facilities and the cloud platform in 5G CPS - first, by improving the communication methods classification system based on the facility scale; second, by establishing the national telecommunication facility infrastructure and making long-term investment; third, by reorganizing the Smart City Act aimed at activating new services; and lastly, by expanding the national data analytics R&D and policy support.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.674-681
• /
• 2021

Cyber attacks targeting critical infrastructure are on the rise. Critical infrastructure is defined as core infrastructures within a country with a high degree of interdependence between the different structures; therefore, it is difficult to sufficiently protect it using outdated cybersecurity techniques. In particular, the distinction between the physical and logical risks of critical infrastructure is becoming ambiguous; therefore, risk management from a comprehensive perspective must be implemented. Accordingly, as a means of further actively protecting critical infrastructure, major countries have begun to apply their security and cybersecurity systems by design, as a more expanded concept is now being considered. This proactive security approach (CSbD, Cybersecurity by Design) includes not only securing the stability of software (SW) safety design and management, but also physical politics and device (HW) safety, precautionary and blocking measures, and overall resilience. It involves a comprehensive security system. Therefore, this study compares and analyzes security by design measures towards critical infrastructure that are leading the way in the US, Europe, and Singapore. It reflects the results of an analysis of optimal cybersecurity solutions for critical infrastructure. I would like to present a plan for applying by Design.

• ETRI Journal
• /
• v.25 no.5
• /
• pp.401-406
• /
• 2003

A biometric system determines the identity of a person by measuring physical features that can distinguish that person from others. Since biometric features have many variations and can be easily corrupted by noises and deformations, it is necessary to apply machine learning techniques to treat the data. When applying the conventional machine learning methods in designing a specific biometric system, however, one first runs into the difficulty of collecting sufficient data for each person to be registered to the system. In addition, there can be an almost infinite number of variations of non-registered data. Therefore, it is difficult to analyze and predict the distributional properties of real data that are essential for the system to deal with in practical applications. These difficulties require a new framework of identification and verification that is appropriate and efficient for the specific situations of biometric systems. As a preliminary solution, this paper proposes a simple but theoretically well-defined method based on a statistical test theory. Our computational experiments on real-world data show that the proposed method has potential for coping with the actual difficulties in biometrics.

• The Journal of Information Systems
• /
• v.26 no.2
• /
• pp.105-121
• /
• 2017

Purpose It is a major goal to improve the product yields during production operations in the manufacturing industry. Therefore, factory is trying to keep the good quality materials and proper production resources, also find the proper condition of facilities and manufacturing environment for yields improvement. Design/methodology/approach We propose the hybrid framework to analyze to dataset extracted from MES. Those data is about the alarm information generated from equipment, both measurement and equipment process value from production and cycle/pitch time measured from production data these covered products during production. We adapt a data warehousing techniques for organizing dataset, a logistic regression for finding out the significant factors, and a association analysis for drawing the rules which affect the product yields. And then we validate the framework by applying the real data generated from the discrete process in secondary cell battery manufacturing. Findings This paper deals with challenges to apply the full potential of modeling and simulation within CPPS(Cyber-Physical Production System) and Smart Factory implementation. The framework is being applied in one of the most advanced and complex industrial sectors like semiconductor, display, and automotive industry.

• Journal of the Korea Safety Management & Science
• /
• v.26 no.1
• /
• pp.45-53
• /
• 2024

A Smart factories are systems that enable quick response to customer demands, reduce defect rates, and maximize productivity. They have evolved from manual labor-intensive processes to automation and now to cyber-physical systems with the help of information and communication technology. However, many small and medium-sized enterprises (SMEs) are still unable to implement even the initial stages of smart factories due to various environmental and economic constraints. Additionally, there is a lack of awareness and understanding of the concept of smart factories. To address this issue, the Cooperation-based Smart Factory Construction Support Project was launched. This project is a differentiated support project that provides customized programs based on the size and level of the company. Research has been conducted to analyze the impact of this project on participating and non-participating companies. The study aims to determine the effectiveness of the support policy and suggest efficient measures for improvement. Furthermore, the research aims to provide direction for future support projects to enhance the manufacturing competitiveness of SMEs. Ultimately, the goal is to improve the overall manufacturing industry and drive innovation.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.34 no.3
• /
• pp.537-552
• /
• 2024

Domestic nuclear power plants operate under the establishment of the "Information System Security Regulations" in accordance with the Nuclear Safety Act, introducing and implementing a cybersecurity system that encompasses organizational structure as well as technical, operational, and managerial security measures for assets. Despite attempts such as phased approaches and alternative measures for physical protection systems, the reduction in managed items has not been achieved, leading to an increased burden on security capabilities due to limited manpower at the site. In the main text, an analysis is conducted on Type A1 assets performing nuclear safety functions using Maintenance Rules (MR) and EPRI Technical Assessment Methodology (TAM) from both a maintenance perspective and considering device characteristics. Through this analysis, approaches to re-evaluate the impact of cyber intrusions on asset functionality are proposed.

• Clean Technology
• /
• v.28 no.1
• /
• pp.63-78
• /
• 2022

Electronics industrial wastewater treatment facilities release organic wastewaters containing high concentrations of organic pollutants and more than 20 toxic non-biodegradable pollutants. One of the major challenges of the fourth industrial revolution era for the electronics industry is how to treat electronics industrial wastewater efficiently. Therefore, it is necessary to develop an electronics industrial wastewater modeling technique that can evaluate the removal efficiency of organic pollutants, such as chemical oxygen demand (COD), total nitrogen (TN), total phosphorous (TP), and tetramethylammonium hydroxide (TMAH), by digital twinning an electronics industrial organic wastewater treatment facility in a cyber physical system (CPS). In this study, an electronics industrial wastewater activated sludge model (e-ASM) was developed based on the theoretical reaction rates for the removal mechanisms of electronics industrial wastewater considering the growth and decay of micro-organisms. The developed e-ASM can model complex biological removal mechanisms, such as the inhibition of nitrification micro-organisms by non-biodegradable organic pollutants including TMAH, as well as the oxidation, nitrification, and denitrification processes. The proposed e-ASM can be implemented as a Water Digital Twin for real electronics industrial wastewater treatment systems and be utilized for process modeling, effluent quality prediction, process selection, and design efficiency across varying influent characteristics on a CPS.

• Journal of Cadastre & Land InformatiX
• /
• v.49 no.2
• /
• pp.93-107
• /
• 2019

The open data portal collects data created by public institutions and opens and shares them according to related laws. With the activation of the Fourth Industrial Revolution, all sectors of our society are demanding high quality data, but the data required by the industry has not been greatly utilized due to the lack of quantity and quality. Numerous data collected in the real world can be implemented in cyber physical systems to simulate real-world problems, and alternatives to various social issues can be found. There is a limit to being provided. Location intelligence is a technology that enables existing data to be represented in space, enabling new value creation through convergence. In this study, to present location intelligence of open data, we surveyed the status of location information by data in open data portal. As a result, about 60% of the surveyed data had location information and the representative type was address. Appeared. Therefore, by suggesting location intelligence of open data based on address and how to use it, this study aimed to suggest a way that open data can play a role in creating future social data-based industry and policy establishment.