• Title/Summary/Keyword: K 인자

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Kernel RLS Algorithm Using Variable Forgetting Factor (가변 망각인자를 사용한 커널 RLS 알고리즘)

  • Lim, Jun-Seok;Pyeon, Yong-Guk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.9
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    • pp.1793-1801
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    • 2015
  • In a recent work, kernel recursive least-squares tracker (KRLS-T) algorithm has been proposed. It is capable of tracking in non-stationary environments using a forgetting mechanism built on a Bayesian framework. The forgetting mechanism in KRLS-T is implemented by a fixed forgetting factor. In practice, however, we frequently meet that the fixed forgetting factor cannot handle time-varying system effectively. In this paper we propose a new KRLS-T with a variable forgetting factor. Experimental results show that proposed algorithm can handle time-varying system more effectively than the KRLS-T.

Determination of Quality Correction Factors for a Plane-Parallel Chamber in High Energy Electron Beams using Monte Carlo Calculation (몬테칼로 계산을 이용한 평판형 전리함의 고에너지 전자선에 대한 선질보정인자 결정)

  • Jeong, Dong-Hyeok;Lee, Jeong-Ok
    • Journal of radiological science and technology
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    • v.31 no.1
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    • pp.89-95
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    • 2008
  • The quality correction factor for used beam and qualities is strongly required for clinical dosimetry by TRS-398 protocol of IAEA. In this study the quality correction factors for a commercial plane-parallel ionization chamber in high energy electron beams were calculated by Monte Carlo code(DOSRZnrc/EGSnrc). In comparison of quality correction factor, the difference between this study and TRS-398 were within 1% in 5-20 MeV. In case of 4MeV the difference was 1.9%. As an independent method of determination of quality correction factor this study can be applied to evaluate values in the protocol or calculate the factor for a new chamber.

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Simulation of Design Factor Effects on Performance of Vacuum System (진공시스템 성능에 대한 설계인자 영향 전산모사)

  • Kim, Hyung-Taek;Jeong, Kwang-Pil
    • Journal of the Korean Vacuum Society
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    • v.16 no.6
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    • pp.405-413
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    • 2007
  • Effect of design factors on the performance of vacuum system was simulated for optimum design of system. In this investigation, the feasibility of modelling mechanism for $VacSim^{Multi}$ simulator was proposed. Simulation results of pumping design factor showed the possibilities of simulation fore-study for the detailed design factors. Simulation of roughing pump presented the expected pumping behaviors based on the specifications of commercial pump. Application of booster pump exhibited the high pumping efficiency for middle vacuum range. Combinations of optimum backing pump for diffusion and turbo vacuum system were obtained. And, the characteristics of process application of both systems were also acquired.

Modelling for Repeated Measures Data with Composite Covariance Structures (복합구조 반복측정자료에 대한 모형 연구)

  • Lee, Jae-Hoon;Park, Tae-Sung
    • The Korean Journal of Applied Statistics
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    • v.22 no.6
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    • pp.1265-1275
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    • 2009
  • In this paper, we investigated the composite covariance structure models for repeated measures data with multiple repeat factors. When the number of repeat factors is more than three, it is infeasible to fit the composite covariance models using the existing statistical packages. In order to fit the composite covariance structure models to real data, we proposed two approaches: the dimension reduction approach for repeat factors and the random effect model approximation approach. Our proposed approaches were illustrated by using the blood pressure data with three repeat factors obtained from 883 subjects.

Modeling of plasma etch process using genetic algorithm optimization of neural network initial weights (유전자 알고리즘-응용 역전파 신경망 웨이트 최적화 기법을 이용한 플라즈마 식각 공정 모델링)

  • Bae, Jung-Gi;Kim, Byung-Whan
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.11a
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    • pp.272-275
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    • 2004
  • 플라즈마 식각공정은 소자제조를 위한 미세 패턴닝 제작에 이용되고 있다. 공정 메커니즘의 정성적 해석, 최적화, 그리고 제어를 위해서는 컴퓨터 예측모델의 개발이 요구된다. 역전파 신경망 (backpropagation neural network-BPNN) 모델을 개발하는 데에는 다수의 학습인자가 관여하고 있으며, 가장 그 최적화가 어려운 학습인자는 초기웨이트이다. 모델개발시, 초기웨이트는 random 값으로 설정이 되며, 이로 인해 초기웨이트의 최적화가 어렵다. 본 연구에서는 유전자 알고리즘 (genetic algorithm-GA)을 이용하여 BPNN의 초기웨이트를 최적화하였으며, 이를 식각공정 모델링에 적용하여 평가하였다. 실리카 식각공정 데이터는 $2^3$ 인자 실험계획법을 이용하여 수집하였으며, GA에 관여하는 두 확률인자의 영향을 42 인자 실험계획법을 이용하여 최적화 하였다. 종래의 모델에 비해, 최적화된 모델은 실리카 식각률, Al 식각률, Al 선택비, 그리고 프로파일 응답에 대해서 각 기 24%, 13%,, 16%, 그리고 17%의 향상률을 보였다. 이는 제안된 최적화 기법이 플라즈마 모델의 예측성능을 증진하는데 효과적으로 응용될 수 있음을 의미한다.

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Low Complexity Gauss Newton Variable Forgetting Factor RLS for Time Varying System Estimation (시변 시스템 추정을 위한 연산량이 적은 가우스 뉴턴 가변 망각인자를 사용하는 RLS 알고리즘)

  • Lim, Jun-Seok;Pyeon, Yong-Guk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.9
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    • pp.1141-1145
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    • 2016
  • In general, a variable forgetting factor is applied to the RLS algorithm for the time-varying parameter estimation in the non-stationary environments. The introduction of a variable forgetting factor to RLS needs heavy additional calculation complexity. We propose a new Gauss Newton variable forgetting factor RLS algorithm which needs small amount of calculation as well as estimates the better parameters in time-varying nonstationary environment. The algorithm performs as good as the conventional Gauss Newton variable forgetting factor RLS and the required additional calculation complexity reduces from $O(N^2)$ to O(N).

USLE/RUSLE Factors for National Scale Soil Loss Estimation Based on the Digital Detailed Soil Map (수치 정밀토양에 기초한 전국 토양유실량의 평가를 위한 USLE/RUSLE 인자의 산정)

  • Jung, Kang-Ho;Kim, Won-Tae;Hur, Seung-Oh;Ha, Sang-Keon;Jung, Pil-Kyun;Jung, Yeong-Sang
    • Korean Journal of Soil Science and Fertilizer
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    • v.37 no.4
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    • pp.199-206
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    • 2004
  • Factors of universal soil loss equation, USLE, and its revised version, RUSLE for Korean soils were reevaluated to estimate the national scale of soil loss based on digital soil maps. Rainfall erosivity factor, R, of 158 locations of cities and counties were spacially interpolated by the inverse distance weight method. Soil erodibility factor, K, of 1321 soil phases of 390 soil series were calculated using the data of soil survey and agri-environmental quality monitoring. Topographic factor, LS, was estimated using soil map of 1:25,000 scale with soil phase and land use type. Cover management factor, C, of major crops and support practice factor, P, were summarized by analyzing the data of lysimeter and field experiments for 27 years (1975-2001) in the National Institute of Agricultural Science and Technology. R factor varied between 2322 and 6408 MJ mm $ha^{-1}$ $yr^{-1}$ $hr^{-1}$ and the average value was 4276 MJ mm $ha^{-1}$ $yr^{-1}$ $hr^{-1}$. The average K value was evaluated as 0.027 MT hr $MJ^{-1}$ $mm^{-1}$. The highest K factor was found in paddy rice fields, 0.034 MT hr $MJ^{-1}$ $mm^{-1}$, and K factors in upland fields, grassland, and forest were 0.026, 0.019, and 0.020 MT hr $MJ^{-1}$ $mm^{-1}$, respectively. C factors of upland crops ranged from 0.06 to 0.45 and that of grassland was 0.003. P factor varied between 0.01 and 0.85.

Detection and Characterization of Two Novel Forms of A Cytosolic Phospholipase $A_2$-Activating Factor in Bovine Brain

  • Park, Jae-Sin;Jung, Kwang-Mook;Jung, Sung-Yun;Na, Doe-Sun;Kim, Dae-Kyong
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1996.04a
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    • pp.187-187
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    • 1996
  • 세포질에 존재하는 100 kDa Phospholipase $A_2$(cPLA$_2$)는 인지질의 sn-2 위치의 에스테르결합을 가수분해함으로서 Prostaglandin과 Leukotriene등 Eicosanoids 생합성의 전구체인 아라키돈산과 Platelet activating factor(PAF)를 생합성하는 전구체를 동시에 생성시키는 효소로 염증과 세포손상등에 중요한 역할이 기대된다. 본 효소의 활성화 기전을 규명하고자 하는 최근의 활발한 연구에도 불구하고 불명확한 점이 많은 것이 현실이다. 특히 세포를 자극하였을 때 유리되는 아라키돈산의 증가율과 세포를 파괴한 후 조제한 가용성분획에서 측정한 활성의 증가율과는 많은 차이를 나타냈다. 이러한 결과부터 cPLA$_2$ 효소 자체를 활성화시키는 어떤 인자를 가정하였다. 최근, PLA$_2$의 또다른 형태인 14 kDa의 분비성 PLA$_2$의 in vitro 활성을 증가시키는 인자가 동정되어 그 생화학적 특성이 규명되고 있으나 이 인자는 cPLA$_2$의 활성에는 아무런 증가효과를 나타내지 않았다. 본 연구자들은 소의 뇌조직에서 cPLA$_2$의 활성을 증가시키는 인자를 발견하고 그의 생화학적인 특성을 규명하였다. 돼지 비장에서 정제한 cPLA$_2$를 사용하였으며 소의 뇌 조직의 가용성 분획으로부터 본 활성화 인자를 동정하였으며 그 활성분획을 양이온 크로마토그라피로서 Mono S EPLC와 Superose 12 Sepharose gel filtration 크로마토그라피를 이용하여 더욱 분리한 결과 약 70 kDa과 25 kDa에서 각각 용출되었다. 이렇게 부분정제한 활성은 췌장에서 분리한 group I과 흰주의 group I과 흰주의 혈소판에서 분리한 group II PLA$_2$에 대해서는 아무런 증가효과를 나타내지 않는 반면, cPLA$_2$의 활성만을 약 5배 증가시켰다. 본 활성은 cPLA$_2$ 효소량의 증가에 따라 활성의 증가효과가 정차 감소하므로 화학량적인 반응(Stoichiometric reaction)일 것으로 예상되었다.

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Comparison and Examination of the Calculating Hydrological Geographic Parameters Using GIS (GIS를 이용한 수문학적 지형인자 산정에 대한 비교검토)

  • Kim, Kyung-Tak;Choi, Yun-Seok;Lee, Hyo-Jung
    • Journal of Korea Water Resources Association
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    • v.43 no.1
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    • pp.25-39
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    • 2010
  • Recently, GIS softwares such as WMS, ArcHydro, and HyGIS which can calculate hydrological geographic parameters are popularized. These softwares have the functions to calculate various geographic parameters which are used in water resources from DEM (Digital Elevation Model). In this study, hydrological geographic parameters calculated by WMS and ArcHydro are compared and examined with them from HyGIS to evaluate the applicability of the parameters from HyGIS. Bochungcheon (Riv.), Wicheon (Riv.), Pyungchanggang (Riv.), Gyungancheon (Riv.), Naerincheon (Riv.), and Imjingang (Riv.) watersheds are selected for this study, and the shape of watershed, watershed area, watershed slope, the average slope of watershed, main stream length, main stream slope, maximum flow distance, and the slope of maximum flow distance are calculated to compare and examine the characteristics. Study results show that the average relative error of 7 geographic parameters from all the watersheds is 4.77 %, and all the watershed boundaries are very similar. So, all the geographic parameters calculated by each software show very similar value, and the geographic parameters calculated by HyGIS can be applied to water resources with WMS and ArcHydro which have been generally used.

Monte Carlo Study of MOSFET Dosimeter Dose Correction Factors Considering Energy Spectrum of Radiation Field in a Steam Generator Channel Head (원전 증기발생기 수실 내 에너지 스펙트럼을 고려한 MOSFET 방사선검출기 선량보정인자 결정에 관한 몬테칼로 전산모사 연구)

  • Cho, Sung-Koo;Choi, Sang-Hyoun;Kim, Chan-Hyeong
    • Journal of Radiation Protection and Research
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    • v.31 no.4
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    • pp.165-171
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    • 2006
  • In Korea, a real-time effective dose measurement system is in development. The system uses 32 high-sensitivity MOSFET dosimeters to measure radiation doses at various organ locations in an anthropomorphic physical phantom. The MOSFET dosimeters are, however, mainly made of silicon and shows some degree of energy and angular dependence especially for low energy photons. This study determines the correction factors to correct for these dependences of the MOSFET dosimeters for accurate measurement of radiation doses at organ locations in the phantom. For this, first, the dose correction factors of MOSFET dosimeters were determined for the energy spectrum in the steam generator channel of the Kori Nuclear Power Plant Unit #1 by Monte Carlo simulations. Then, the results were compared with the dose correction factors from 0.652 MeV and 1.25 MeV mono-energetic photons. The difference of the dose correction factors were found very negligible $(\leq1.5%)$, which in general shows that the dose corrections factors determined from 0.662 MeV and 1.25 MeV can be in a steam general channel head of a nuclear power plant. The measured effective dose was generally found to decrease bit $\sim7%$ when we apply the dose correction factors.