• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 1998.10b
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• pp.23-23
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• 1998

• Proceedings of the Korean Powder Metallurgy Institute Conference
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• 1997.10a
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• pp.39-39
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• 1997

• Proceedings of the Optical Society of Korea Conference
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• 2005.07a
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• pp.132-133
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• 2005

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.26 no.12
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• pp.882-887
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• 2013

We investigated a SiC-based hydrogen gas sensor with metal-insulator-semiconductor (MIS) structure for high temperature process monitoring and leak detection applications. The sensor was fabricated by Pd/$Ta_2O_5$/SiC structure, and a thin tantalum oxide ($Ta_2O_5$) layer was exploited with the purpose of sensitivity improvement, because tantalum oxide has good stability at high temperature as well as high permeability for hydrogen gas. In the experiment, dependence of I-V characteristics and capacitance response properties on hydrogen gas concentrations from 0 to 2,000 ppm was analyzed at room temperature to $500^{\circ}C$. As the result, our sensor exploiting a $Ta_2O_5$ dielectric layer showed possibilities with regard to use in hydrogen gas sensors for high-temperature applications.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.346-349
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• 2021

표 기계독해에서는 도메인에 따라 언어모형에 필요한 지식이나 표의 구조적인 형태가 변화하면서 텍스트 데이터에 비해서 더 큰 성능 하락을 보인다. 본 논문에서는 표 기계독해에서 이러한 도메인의 변화에 강건한 사전학습 표 언어모형 구축을 위한 의미있는 표 데이터 선별을 통한 사전학습 데이터 구축 방법과 적대적인 학습 방법을 제안한다. 추출한 표 데이터에서 구조적인 정보가 없이 웹 문서의 장식을 위해 사용되는 표 데이터 검출을 위해 Heuristic을 통한 규칙을 정의하여 HEAD 데이터를 식별하고 표 데이터를 선별하는 방법을 적용했으며, 구조적인 정보를 가지는 일반적인 표 데이터와 엔티티에 대한 지식 정보를 가지는 인포박스 데이터간의 적대적 학습 방법을 적용했다. 기존의 정제되지 않는 데이터로 학습했을 때와 비교하여 데이터를 정제하였을 때, KorQuAD 표 데이터에서 f1 3.45, EM 4.14가 증가하였으며, Spec 표 질의응답 데이터에서 정제하지 않았을 때와 비교하여 f1 19.38, EM 4.22가 증가한 성능을 보였다.

• Korean Chemical Engineering Research
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• v.47 no.3
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• pp.344-348
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• 2009

One-dimensional modeling was carried-out to predict the capacity loss of a lithium-ion polymer battery during cycling. The model not only accounted for electrochemical kinetics and ionic mass transfer in a battery cell, but also considered the parasitic reaction inducing the capacity loss. In order to validate the modeling, modeling results were compared with the measurement data of the cycling behaviors of the lithium-ion polymer batteries having nominal capacity of 5Ah from LG Chem. The cycling was performed under the protocol of the constant current discharge and the constant current and constant voltage charge. The discharge rate of 1C was used. The range of state of charge was between 1 and 0.2. The voltage was kept constant at 4.2 V until the charge current tapered to 50 mA. The retention capacity of the battery was measured with 1C and 5C discharge rates before the beginning of cycling and after every 100 cycles of cycling. The modeling results were in good agreement with the measurement data.