• Journal of Engineering Education Research
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• v.13 no.3
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• pp.78-86
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• 2010

This study deals with the effect of academic self-efficacy in the online discussion instruction. Based on these research results, it was suggested academic self-efficacy should be utilized in order to enhance the discussion participation and satisfaction quality of online discussion instruction.

• Proceedings of the Korean Magnestics Society Conference
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• 2012.11a
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• pp.146-148
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• 2012

미크론 자성비드 검출용 바이오센서에 활용하는 GMR-SV 박막을 이온빔 스퍼터링 증착법으로 glass/Ta(5.8 nm)/NiFe(5 nm)/Cu(t nm)/NiFe(3 nm)/FeMn(12 nm)/Ta(5.8 nm)의 구조를 갖도록 증착하였다. 비자성체 Cu의 두께가 3.0 nm에서 2.2 nm까지 얇아질수록 교환결합력은 증가하였으며 자기저항비는 다소 낮았다. 비자성체의 두께가 얇으면 반강자성체의 층간 교환작용이 강자성체의 고정층 뿐만 아니라 자유층의 스핀배열에도 영향을 주고 있음을 확인할 수 있었다. 또한 리소그래피 공정 과정을 거쳐 GMR-SV 소자를 제작하여 미트론 자기비드를 검출하였다. 여기서 자기비드를 떨어뜨리기 전과 후의 자기저항비, 교환결합력, 보자력은 각각 0.9%, 3 Oe, 2 Oe의 값을 나타내었다. 이것으로 미크론단위의 바이오센서로서 활용할 수 있는 가능성을 보여주었다.

• Proceedings of the Korean Magnestics Society Conference
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• 2002.12a
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• pp.50-51
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• 2002

최근 실온에서 약 40％ 이상의 높은 자기저항(magnetoresistance, MR)을 나타내는 자기 터널 접합(magnetic tunnel junction, MTJ)이 보고되면서 비휘발성 자기메모리로의 응용을 눈앞에 두고 있다.[1]. 이에 본 실험에서는 Substrate / Ta (base electrode) / NiFe / PtMn (AF pinning layer) / CoFe (pinned) / Ru / CoFe (fixed) / Al-O/ CoFe (free) / NiFe (free) / Ta & Ru (Capping Layer)과 같은 MTJ 증착 구조를 사용하여, MTJ의 보다 향상된 특성을 확보하기 위한 노력으로서 Al-O 두께, 어닐링 조건(Field Intensity ＆ Sequence)변화 등을 시도하였다. (중략)

• Journal of the Korean Magnetics Society
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• v.1 no.1
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• pp.37-41
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• 1991

A force sensor which employ the measurement of the change in the maximum induction of an amorphous core was constructed. This force sensor has a standard deviation of the non-linearity less than 0.1% within the range of 0 to 1 N, and a resolution of $1{\times}10^{-4}N$ for the core cross section of $6{\times}10^{-8}/m^{2}$. The sensor can also measure transient force at a sampling rate of 10 kHz which is the same as the magnetizing frequency of the core.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.6 no.1
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• pp.35-39
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• 2001

Multibeam echosounder data, collected to investigate seabed features and topography, are usually subject to outliers resulting from the ship's irregular movements and insufficient correction for pressure calibration to the positions of beams. We introduce a statistical method which adjusts the outliers using the ARMA (Autoregressive Moving Average) technique. Our method was applied to a set of real data acquired in the East Sea. In our approach, autocorrelation of the data is modeled by an AR (1) model. If an observation is substantially different from that obtained from the estimated AR (1) model, it is declared as an outlier and adjusted using the estimated AR (1) model. This procedure is repeated until no outlier is found. The result of processing shows that outliers that are far greater than signals in amplitude were successfully removed.

• Proceedings of the Korean Magnestics Society Conference
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• 1997.05a
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• pp.118-119
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• 1997

• Proceedings of the Korean Magnestics Society Conference
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• 1997.05a
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• pp.46-47
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• 1997

• Proceedings of the Korean Magnestics Society Conference
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• 2004.12a
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• pp.105-106
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• 2004

• Proceedings of the Korean Magnestics Society Conference
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• 2004.12a
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• pp.202-203
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• 2004

• Proceedings of the Korean Magnestics Society Conference
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• 2006.06a
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• pp.148-149
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• 2006