• Journal of the Korean Society for Precision Engineering
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• v.10 no.3
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• pp.141-151
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• 1993

For navigation of a mobile robot, it is one of the essential tasks to find out its current position. Dead reckonining is the most frequently used method to estimate its position. Hpwever conventional dead reckoner is prone to give us false information on the robot position especially when the wheels are slipping. This paper proposes an improved dead reckoning scheme using neural networks. The network detects the instance of wheel slopping and estimates the linear velocity of the wheel; thus it calculates current position and heading angle of a mobile robot. The structure and variables of the nerual network are chosen in consideration of slip motion characteristics. A series of experiments are performed to train the networks and to investigate the performance of the improved dead reckoning system.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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• pp.168-171
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• 2003

The IMEF(Irradiated Materials Examination Facility), located in KAERI site, is a hot cell facility to test and evaluate the irradiation defects or embrittlement through post-irradiation examination(PIEs) of irradiated nuclear fuels and structural materials which are come from HANARO research reactor and commercial nuclear power plants. Therefore, to carry out its own function, the high level solid radioactive wastes, produced through PIEs, are periodically carried out and managed from hot cell to monolith. So far, approximately 30 drums which contains 50 liters are transported to monolith, and it is shown that the quantity is slowly increasing, In this paper, the procedures and work contents of the high level solid radwaste carrying out and management for IMEF are described in detail.

• Korean Journal of Metals and Materials
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• v.47 no.10
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• pp.621-628
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• 2009

Thermomechanical processes were carried out to evaluate their effects on the mechanical and the microstructural property of a ferritic-martensitic steel. Modified 9Cr-1Mo steels were hot-rolled at a temperature of either $780^{\circ}C$ or $850^{\circ}C$ after normalizing at $1050^{\circ}C$ and then were air-cooled. Continuous annealing at $850^{\circ}C$ for 2 hours immediately after the hot rolling was also performed and they were compared to the specimens without thermomechanical process. The result showed that there were little differences between the hot rolled specimens in terms of the precipitation density and size. However, V content inside the MX precipitates increased in the case of the specimen rolled at $850^{\circ}C$. The application of the continuous annealing induced coarsening of the Nb-rich MX precipitation as well as an increase in the amount of V-rich MX precipitation, which is expected to enhance high temperature mechanical properties of the ferritic-martensitic steel.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.95-103
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• 2022

Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.4
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• pp.427-432
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• 2024

The polymer crystallization process, promoting the formation of ferroelectric β-phase, is essential for developing polyvinylidene fluoride (PVDF)-based high-performance piezoelectric energy harvesters. However, traditional high-temperature annealing is unsuitable for the manufacture of flexible piezoelectric devices due to the thermal damage to plastic components that occurs during the long processing times. In this study, we investigated the feasibility of introducing a flash lamp annealing that can rapidly induce the β-phase in the PVDF layer while avoiding device damage through selective heating. The flash light-irradiated PVDF films achieved a maximum β-phase content of 76.52% under an applied voltage of 300 V and an on-time of 1.5 ms, a higher fraction than that obtained through thermal annealing. The PVDF-based piezoelectric energy harvester with the optimized irradiation condition generates a stable output voltage of 0.23 V and a current of 102 nA under repeated bendings. These results demonstrate that flash lamp annealing can be an effective process for realizing the mass production of PVDF-based flexible electronics.

• JOURNAL OF ELECTRICAL WORLD
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• s.412
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• pp.54-61
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• 2011

R&D 분야정부경영평가 5년 연속 1위. 한전 전력연구원의 최근 성과이다. 이 같은 공인평가는 KEPRI의 위상을 여실히 증명하고 있다. 고품질의 전력공급을 위한 창의적인 전력기술 개발과 현장 중심의 기술지원을 수행하고 있는 전력연구원은 지난 1961년 한국전력 전기시험소로 출범한 이후 1993년 대덕연구단지 입주, 1995년 7월 전력연구원으로 대대적인 개편을 단행하면서 우리 전력산업 연구개발에 커다란 획을 긋는 다양한 실적들을 쏟아내고 있다. 산하에 4개 연구소(녹색성장연구소, 원자력발전연구소, 수화력발전연구소, 송배전연구소)와 2개 센터(엔지니어링센터, S/W센터), 2실(연구전략실, 연구지원실) 2팀(NRC-DC추진팀, 품질혁신팀)으로 조직되어 있는 전력연구원의 비전은 역시 최상위의 글로벌 연구원 등극이며, 전력기술의 새 지평을 열어 이를 실현하겠다는 각오다. 저탄소 녹색성장을 위한 신재생에너지, 전력IT, CCS, 스마트그리드 등 친환경 연구개발에 주력하면서 한전의 글로벌 엔지니어링 Company 달성의 주역임을 선언한 KEPRI의 열정적인 행보가 전력산업계의 주목을 새롭게 끌고 있다. 전력산업의 미래기술 확보와 성장 동력을 창출해 내고 있는 전력연구원의 핵심 조직과 중점 수행사업 등을 3회에 걸쳐 소개한다.

• JOURNAL OF ELECTRICAL WORLD
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• s.411
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• pp.52-58
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• 2011

R&D분야 정부경영평가 5년 연속 1위. 한전 전력연구원의 최근 성과이다. 이 같은 공인평가는 KEPRI의 위상을 여실히 증명하고 있다. 고품질의 전력공급을 위한 창의적인 전력기술 개발과 현장 중심의 기술지원을 수행하고 있는 전력연구원은 지난 1961년 한국전력 전기시험소로 출범한 이후 1993년 대덕연구단지 입주, 1995년 7월 전력연구원으로 대대적인 개편을 단행하면서 우리 전력산업 연구개발에 커다란 획을 긋는 다양한 실적들을 쏟아내고 있다. 산하에 4개 연구소(녹색성장연구소, 원자력발전연구소, 수화력발전연구소, 송배전연구소) 와 2개 센터(엔지니어링센터, S/W센터), 2실(연구전략실, 연구지원실) 2팀(NRC-DC추진팀, 품질혁신팀)으로 조직되어 있는 전력연구원의 비전은 역시 최상위의 글로벌 연구원 등극이며, 전력기술의 새 지평을 열어 이를 실현하겠다는 각오다. 저탄소 녹색성장을 위한 신재생에너지, 전력IT, CCS, 스마트그리드 등 친환경 연구개발에 주력하면서 한전의 글로벌 엔지니어링 Company 달성의 주역임을 선언한 KEPRI의 열정적인 행보가 전력산업계의 주목을 새롭게 끌고 있다. 전력산업의 미래기술 확보와 성장동력을 창출해 내고 있는 전력연구원의 핵심 조직과 중점 수행사업 등을 3회에 걸쳐 소개한다.

• 기계와재료
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• v.19 no.1 s.71
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• pp.50-57
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• 2007

• The Science & Technology
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• v.15 no.1 s.152
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• pp.27-28
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• 1982

• 기계와재료
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• v.18 no.4 s.70
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• pp.126-133
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• 2006