• Title/Summary/Keyword: 편차 함수

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Threshold Voltage Shift for Doping Profile of Asymmetric Double Gate MOSFET (도핑분포함수에 따른 비대칭 이중게이트 MOSFET의 문턱전압이동현상)

  • Jung, Hakkee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.4
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    • pp.903-908
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    • 2015
  • This paper has analyzed threshold voltage shift for doping profile of asymmetric double gate(DG) MOSFET. Ion implantation is usually used in process of doping for semiconductor device and doping profile becomes Gaussian distribution. Gaussian distribution function is changed for projected range and standard projected deviation, and influenced on transport characteristics. Therefore, doping profile in channel of asymmetric DGMOSFET is affected in threshold voltage. Threshold voltage is minimum gate voltage to operate transistor, and defined as top gate voltage when drain current is $0.1{\mu}A$ per unit width. The analytical potential distribution of series form is derived from Poisson's equation to obtain threshold voltage. As a result, threshold voltage is greatly changed by doping profile in high doping range, and the shift of threshold voltage due to projected range and standard projected deviation significantly appears for bottom gate voltage in the region of high doping concentration.

On Learning and Structure of Cerebellum Model Linear Associator Network(II) -Learing Simulation & Engineering Application- (소뇌모델 선형조합 신경망의 구조 및 학습기능 연구(II) -학습 시뮬레이션 및 응용-)

  • Hwang, H.;Baek, P.K.
    • Journal of Biosystems Engineering
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    • v.15 no.3
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    • pp.199-206
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    • 1990
  • 연구 I에서 수행한 소뇌모델 선형조합 신경망(CMLAN)의 분석 결과와 제안된 능률적 학습 알고리즘들에 의거하여 이차원 비선형 함수치의 출력 모의시험과 팔의 형태에 따라 두개의 목적치를 갖는 2 자유도 머니퓨레이터의 동작지령 산출 모의시험을 행하였다. 특히 2 자유도 머니퓨레이터의 경우, 작업공간에 적절한 입력네트의 변수를 선정하고 하나의 입력공간을 공유하는 두개의 세부 소뇌모델 선형조합 신경망을 서로 연결하는 구조로써 팔의 형태와 목적 지점에 따라 네트를 선정하는 구조를 갖도록 하였다. 제안한 학습 알고리즘의 성능 및 CMLAN의 학습에 따른 효과를 학습이득에 따라 컴퓨터로 모의시험하였으며 그 결과를 분석하였다. 잘 알려진 신경망인 BACK-PROPAGATION 다층(Multi-Layer) 신경망과 함수연결 신경망(Functional Link Net)을 이용한 모의시험 결과를 비교 분석하였다. CMLAN의 학습 능률성은 학습에 소요되는 컴퓨터의 cpu시간과 학습 중의시스템의 최대 편차와 RMS 편차의 변이도 및 최종 시스템 수렴치로서 나타내었다.

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A Study on the Estimation of Standard Deviation of Least Absolute Deviation Estimators of Regression Coefficients (회귀계수의 최소절대편차추정량의 표준편차 추정법)

  • 이기훈;정성석
    • The Korean Journal of Applied Statistics
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    • v.14 no.2
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    • pp.463-473
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    • 2001
  • 선형모형의 회귀계수의 L$_1$-추정량의 점근분포는 오차항의 중앙값에 종속되어있는데, 이 값은 잔차의 순서통계량의 함수로 추정될 수 있다. 본 논문에서는 오차항 중앙값의 추정량을 유도하는 몇 가지 방법을 소개하고 몬테칼로 실험을 통하여 가장 바람직한 추정량의 형태를 제안하였다. 또한 제안한 추정량을 이용하면 검정문제에서도 좋은 결과를 얻을 수 있음을 보였다.

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Influence Analysis of China Coastal Water in the Seas Surrounding Jeju Island using Satellite Data and Empirical Orthogonal Function Analysis (위성자료와 경험직교함수를 이용한 제주도 주변해역의 중국대륙연안수 영향 연구)

  • Yoon Hong-Joo;Cho Han-Keun;Ahn Yu-Hwan
    • Korean Journal of Remote Sensing
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    • v.21 no.6
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    • pp.469-482
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    • 2005
  • China Coastal Waters (CCW) usually appears in the seas surrounding Jeju Island annually(June to October) and is very pronounced in August. Generally, low-salinity water appears to the western seas of Jeju Island from June through October and gradually propagates to the eastern seas, where CCW meets the Tsushima Current. Empirical orthogonal function (EOF) analysis of SLAs and SSTs indicated that the variance in SLAs and SSTs was $95.01\%$(the first mode to third mode) and $98.09\%$(the first mode), respectively. The PSD of the western waters for the first mode of EOF analysis of SLAs was stronger than that of the eastern waters because of the influence of CCW. The PSD for the EOF analysis of SSTs was similar in all areas (the Yangtze Estuary and the seas to the west and east of Jeju Island), with a period of approximately 260 days.

Reliability Analysis of Gas Turbine Engine Blades (가스터빈 블레이드의 신뢰성 해석)

  • Lee, Kwang-Ju;Rhim, Sung-Han;Hwang, Jong-Wook;Jung, Yong-Wun;Yang, Gyae-Byung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.36 no.12
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    • pp.1186-1192
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    • 2008
  • The reliability of gas turbine engine blades was studied. Yield strength, Young’s modulus, engine speed and gas temperature were considered as statistically independent random variables. The failure probability was calculated using five different methods. Advanced Mean Value Method was the most efficient without significant loss in accuracy. When random variables were assumed to have normal, lognormal and Weibull distributions with the same means and standard deviations, the CDF of limit state equation did not change significantly with the distribution functions of random variables. The normalized sensitivity of failure probability with respect to standard deviations of random variables was the largest with gas temperature. The effect of means and standard deviations of random variables was studied. The increase in the mean of gas temperature and the standard deviation of engine speed increased the failure probability the most significantly.

Analysis of Subthreshold Swing for Double Gate MOSFET Using Gaussian Function (가우스함수를 이용한 DGMOSFET의 문턱전압이하 스윙분석)

  • Jung, Hak-Kee;Han, Ji-Hyung;Lee, Jae-Hyung;Jeong, Dong-Soo;Lee, Jong-In;Kwon, Oh-Shin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.681-684
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    • 2011
  • In this paper, the relationship of potential and charge distribution in channel for double gate(DG) MOSFET has been derived from Poisson's equation using Gaussian function. The subthreshold swing has been investigated according to projected range and standard projected deviation, variables of Gaussian function. The analytical potential distribution model has been derived from Poisson's equation, and subthreshold swing has been obtained from this model. The subthreshold swing has been defined as the derivative of gate voltage to drain current and is theoretically minimum of 60mS/dec, and very important factor in digital application. Those results of this potential model are compared with those of numerical simulation to verify this model. As a result, since potential model presented in this paper is good agreement with numerical model, the subthreshold swings have been analyzed according to the shape of Gaussian function.

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Determination of Equilibrium Moisture Content of Outdoor Woods by Using Hailwood-Horrobin Equation in Korea (Hailwood-Horrobin 방정식을 이용한 한국의 야외 목재평형함수율 결정)

  • Ra, Jong-Bum
    • Journal of the Korean Wood Science and Technology
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    • v.42 no.6
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    • pp.653-658
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    • 2014
  • This research was carried out to investigate equilibrium moisture content (EMC) of wood in outdoor locations in Korea. EMC was calculated using Hailwood-Horrobin equation for 73 different locations in Korea using the 1981 to 2010 climate normal data obtained from the Korea Meteorological Admnistration (KMA). Daegu showed the lowest values of EMC (11.5), and the highest EMC values (15.8) was found in Heuksando. Considering the season effect, summer (June, July, August) showed the highest values 15.3, followed by autumn (September, October, November) 13.7, winter (December, January, February) 12.2, and spring (February, March, April) 12.0. Monthly EMC showed the lowest values 11.6 in April and July showed the highest EMC values 16.1. The smallest changes in monthly EMC were found in Jeju island and Heuksando showed the largest values 8.7. A proper wood drying based on average EMC is more required in the regions with larger variation in EMC.

An Image Contrast Enhancement by using the Approximation Linear CDF (선형 추정 CDF를 이용한 이미지 콘트라스트 향상 기법)

  • 최인석;황보현;조화현;최명렬
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.664-666
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    • 2004
  • 본 논문에서는 영상의 누적분포함수(CDF: Cumulative Density Function)를 이용한 콘트라스트 향상 기법을 제안하였다 제안된 알고리즘은 처리된 영상에 영향물 주지 않으면서 최대 콘트라스트를 얻을 수 있었다. 하드웨어의 복잡성을 감소하기 위하여 누적분포함수의 샘플값을 이용한 선형화 방법을 이용하였다. 제안한 방식의 알고리즘 검증을 위하여 C를 이용하였으며, 처리 결과와 원 영상의 화질 평가를 위하여 시각적 검증과 히스토그램 편차를 도입하였다.

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ART 에어로졸 재부유실험 데이터를 이용한 재부유모델의 평가

  • 박재우
    • Proceedings of the Korean Nuclear Society Conference
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    • 1997.10a
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    • pp.790-797
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    • 1997
  • 에어로졸 재부유현상은 중대사고 방사선원항 평가에서 그 중요성이 인식되고 있으나 거의 모든 사고해석 코드에서 다루어지지 않고 있다. 따라서 본 연구는 지금까지 제시된 몇가지 유형의 에어로졸 재부유모델을 ORNL에서 실시된 에어로졸 재부유실험 데이터를 이용하여 정확도와 중대사고 해석코드에 적용가능성을 분석하였다. 본 연구에서 고려한 모델은 시간의 멱승함수와 지수함수형으로 표시된 모델들이다. 본 연구에서 분석한 바에 의하면 두 유형에 속하는 대부분의 모델이 재부유량뿐만 아니라 재부유율을 계산하는 데서 실험데이터와 상당한 편차를 보여 현재의 형태로 중대사고 해석 코드에 접목하는 데는 문제가 있는 것으로 분석되었다. 그러나 보다 광범위한 실험데이터를 통한 보완이 이루어진다면 모델식 자체의 간편함으로 접목이 용이할 것이다.

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