• 인터넷정보학회논문지
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• 제24권6호
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• pp.137-144
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• 2023

사이버 공격 기술은 예측 불가할 정도로 진화하고 있으며, '언젠가는'이 아니라 '언제나' 일어날 수 있는 상황이다. 클라우드 컴퓨팅, 사물인터넷(Internet of Things) 등으로 초연결 글로벌화되고 있는 인프라는 그 어느 때보다 사이버 공격에 큰 피해를 받을 수 있는 환경이며, 사이버 공격은 지금도 진행 중이다. 사이버 공격이나 천재지변 등 외부적인 영향으로 피해가 발생하더라도 사이버 자산(OS, WEB, WAS, DB)의 다운 타임을 최소화하기 위해 사이버 레질리언스 관점에서 지능형 자가복구로 진화해야 한다. 본 논문에서는 사이버 자산이 사이버 공격을 받아 고유의 기능이 제대로 발휘하지 못할 경우 지속가능한 사이버 레질리언스를 보장하기 위한 지능형 자가복구기술을 제안한다. 평상시 사이버 자산의 원본 및 업데이트 이력을 타임슬롯 설계 및 스냅샷 백업 기술로 실시간 관리한다. 상용화된 파일 무결성 모니터링 프로그램과 연동하여 피해 상황을 자동 탐지하고 지능형 기반으로 피해 파일에 대한 백업 데이터의 연관성 분석을 통해 사이버 자산의 다운타임을 최소화하여 최적의 상태로 자가복구할 수 있는 기술을 확보해야 한다. 향후에는 사이버 자산이 피해 받은 상태에 적합한 자가복구 전략 학습 및 분석을 수행할 수 있는 운영모델과 자가복구기술의 고유기능이 적용된 시범체계 연구를 수행할 예정이다.

• 한국전기전자재료학회논문지
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• 제31권5호
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• pp.345-350
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• 2018

Nanomaterials have considerable potential to solve several key challenges in various electrochemical devices, such as fuel cells. However, the use of nanoparticles in high-temperature devices like solid-oxide fuel cells (SOFCs) is considered problematic because the nanostructured surface typically prepared by deposition techniques may easily coarsen and thus deactivate, especially when used in high-temperature redox conditions. Herein we report the synthesis of a self-regenerated Pd metal nanoparticle on the perovskite oxide anode surface for SOFCs that exhibit self-recovery from their degradation in redox cycle and $CH_4$ fuel running. Using Pd-doped perovskite, $La(Sr)Fe(Mn,Pd)O_3$, as an anode, fairly high maximum power densities of 0.5 and $0.2cm^{-2}$ were achieved at 1,073 K in $H_2$ and $CH_4$ respectively, despite using thick electrolyte support-type cell. Long-term stability was also examined in $CH_4$ and the redox cycle, when the anode is exposed to air. The cell with Pd-doped perovskite anode had high tolerance against re-oxidation and recovered the behavior of anodic performance from catalytic degradation. This recovery of power density can be explained by the surface segregation of Pd nanoparticles, which are self-recovered via re-oxidation and reduction. In addition, self-recovery of the anode by oxidation treatment was confirmed by X-ray diffraction (XRD) and scanning electron microscopy (SEM).

• Nuclear Engineering and Technology
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• 제49권5호
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• pp.896-904
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• 2017

Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

• 반도체디스플레이기술학회지
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• 제6권1호
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• pp.53-57
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• 2007

In this paper, the intelligent estimation algorithm is developed for residual quantity estimate of lithium secondary cell and we suggest the control algorithm to get battery SOC through thermal modeling of electric cell. Lithium secondary cell gives cycle life, charge characteristic, discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc. Therefore, we make an accurate estimate of the capacity of battery according to thermal modeling to know the capacity of electric cell that is decreased by various special quality of lithium secondary cell. And we show effectiveness through comparison of value as result that use simulation and fuzzy logic.