• Tunnel and Underground Space
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• v.25 no.2
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• pp.199-209
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• 2015

The rebound hardness test using the SilverSchmidt hammer was performed for diorite, granodiorite, and andesite exposed around the King Sejong Station, Barton peninsula. Then, the R-value and uniaxial compressive strength (UCS) of these rocks were estimated from the Q-values which were obtained from the SilverSchmidt hammer. The Q-value of diorite was distributed in the range from 67.0 to 89.5, granodiorite of the range from 57.5 to 89.0, and andesite of the range from 58.0 to 76.5. The average Q-values of diorite, granodiorite, and andesite were 76.0, 72.0, and 67.0, respectively. The converted UCS of diorite was distributed in the range from 118 to 195 MPa, granodiorite of the range from 91 to 193 MPa, and andesite of the range from 92 to 148 MPa. The average UCS of diorite, granodiorite, and andesite were 147, 136, and 117 MPa, respectively. The converted R-value of diorite was distributed in the range from 53.0 to 72.2, granodiorite of the range from 45.4 to 71.8, and andesite of the range from 45.8 to 60.9. The average Q-values of diorite, granodiorite, and andesite were 60.0, 58.0, and 53.0, respectively. The R-value was represented approximately 20% lower than the Q-value. In conclusion, it will be possibile that the R-value and UCS of rocks under the extreme area from the SilverSchmidt Q-value are evaluated.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.3
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• pp.239-248
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• 2020

Exact rock classification helps suitable support patterns to be installed. Face mapping is usually conducted to classify the rock mass using RMR (Rock Mass Ration) or Q values. There have been several attempts to predict the grade of rock mass using mechanical data of jumbo drills or probe drills and photographs of excavation surfaces by using deep learning. However, they took long time, or had a limitation that it is impossible to grasp the rock grade in ahead of the tunnel surface. In this study, a method to predict the Q value ahead of excavation surface is developed using recurrent neural network (RNN) technique and it is compared with the Q values from face mapping for verification. Among Q values from over 4,600 tunnel faces, 70% of data was used for learning, and the rests were used for verification. Repeated learnings were performed in different number of learning and number of previous excavation surfaces utilized for learning. The coincidence between the predicted and actual Q values was compared with the root mean square error (RMSE). RMSE value from 600 times repeated learning with 2 prior excavation faces gives a lowest values. The results from this study can vary with the input data sets, the results can help to understand how the past ground conditions affect the future ground conditions and to predict the Q value ahead of the tunnel excavation face.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.2
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• pp.125-129
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• 2008

A low-voltage active CMOS inductor approach, which can improve the quality-factor(Q), is proposed in this paper. A low-voltage active inductor circuit topology with a feedback resistance is proposed, which can substantially improve its equivalent inductance and quality-factor(Q). This proposed low-voltage active inductor with a feedback resistance was simulated by ADS(Agilent) using 0.18um standard CMOS technology. Simulation showed that the designed active inductor had a maximum quality-factor(Q) of 3000 with a 1.5nH inductance at 4GHz

• Economic and Environmental Geology
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• v.27 no.6
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• pp.557-561
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• 1994

Q estimates are made by direct measurements of energy loss per cycle from primary P and S waves, as a function of frequency. Assuming that intrinsic Q is frequency independent and scattering Q is frequency dependent over the frequencies of interest, the relative contributions of each, to a total observed Q, may be estimated. Test examples are produced by computing viscoelastic synthetic seismograms using a pseudo spectral solution with inclusion of relaxation mechanisms (for intrinsic Q) and a fractal distribution of scatterers (for scattering Q). The composite theory implies that when the total Q for S-waves is smaller than that for P-waves (the usual situation), intrinsic Q is dominating; when it is larger, scattering Q is dominating. In the inverse problem, performed by a global least squares search, intrinsic $Q_p$ and $Q_s$ estimates are reliable and unique when their absolute values are sufficiently low that their effects are measurable in the data. Large $Q_p$ and $Q_s$ have no measurable effect and hence are not resolvable. Standard deviation of velocity $({\sigma})$ and scatterer size (A) are less unique as they exhibit a tradeoff as predicted by Blair's equation. For the P-waves, intrinsic and scattering contributions are of approximately the same importance, for S-waves, the intrinsic contributions dominate.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2000.11a
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• pp.162-166
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• 2000

본 논문에서는 Ku-band용 전압제어 유전체 공진 발진기를 위상잡음 특성을 고려하여 설계하였다. 유전체의 높은 Q값은 좋은 위상잡음특성에 영향을 주나 전압제어를 위해 바렉터 다이오드의 연결된 튜닝 마이크로스트립라인의 길이에 따라 Q값의 변화하고 이로 인해 위상잡음 특성이 변화하am로 이를 고려하여 최적의 튜닝 마이크로스트립라인 길이를 시뮬레이션 견과를 통해 얻은 후 전압제어 유진체 발진기를 설계 하였다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07b
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• pp.639-643
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• 2004

[ $Ta_2O_5$ ]가 첨가된 $Ba(Zn_{1/3}Ta_{2/3})O_3$[BZT] 세라믹은 1:2 규칙화 정도가 증가하고 $Ba_3Ta_5O_{15}의 이차상이 새롭게 형성된다. $1580^{\circ}C$ 보다 높은 온도에서 소결된 BZT 세라믹은 $Ta_2O_5$를 첨가하면 입자의 성장이 일어나고 액상이 형성된다. 품질계수(Q) 값은 $1580^{\circ}C$ 보다 높은 온도에서 소결할 경우 미량의 $Ta_2O_5$ 첨가만으로도 상당히 증가한다. 상대밀도는 $Ta_2O_5$ 첨가량에 따라 감소하기 때문에 Q값의 증가는 상대밀도와는 무관하다. 반면에, $Ta_2O_5$의 첨가량에 따라 입자의 성장은 증가하였기 때문에 Q값의 향상은 입자크기와 관계가 있음을 알 수 있다. 많은 양의 $Ta_2O_5$ 첨가시 비록 입자 크기가 증가했음에도 불구하고 Q값이 매우 낮은 것을 볼 때, Q값의 감소는 $Ba_3Ta_5O_{15}$ 상의 영향과 낮은 밀도 값에 기인한 것이다.

• Proceedings of the KSEEG Conference
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• 2000.04a
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• pp.136-136
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• 2000

• 한국지구물리탐사학회:학술대회논문집
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• 2005.05a
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• pp.47-52
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• 2005

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1996.10a
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• pp.1198-1201
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• 1996

• Journal of the Korean Ceramic Society
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• v.36 no.3
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• pp.284-292
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• 1999

고체함량을 변화시킨 NiCuZn 페라이트 페이스트를 사용하여 스크린 인쇄법으로 7.7$\times$4.5$\times$1.0 nm 크기의 칩인덕터를 제조한 후, 페라이트 페이스트의 고체함량에 따른 수축률, 소결밀도, 미세구조, 계면반응 등의 물리적 특성 및 자기적 특성 변화를 분석하였다. 조온소결을 위하여 attrition milling 공정을 통하여 미세분말을 준비하였으며, 소결온도는 880~94$0^{\circ}C$로 변화시켰다. 90$0^{\circ}C$에서 2시간 열처리된 페라이트 후막의 소결밀도는 고체함량이 50,55,60%로 증가할수록 5.12,5.14,5.18g/㎤로 증가하였으며, 이에 따라 칩 인덕터 시편들의 주파수 10 MHz에서 L값이 2.1,2.3,2.5 $\mu$H로 커졌다.Q값은 소결밀도 증가에 의한 Q값 증가효과와 아울러 입자가 커짐에 따른 반대효과로 인하여 고체함량에 따라 87,90,94로 큰 변화가 없었다. 페라이트 페이\ulcorner의 고체함량 및 소결온도와 무관하게 Ag 성분의 페라이트 쪽으로의 확산현상은 나타나지 않았다.