• 제목/요약/키워드: memory coefficient

검색결과 129건 처리시간 0.046초

연령, 범주전형성 및 회상조건에 따른 아동의 상위기억과 범주적 조직화 책략 사용 (Metamemory and Categorical Organization Strategy for Age, Category Typicality, and Recall Tasks)

  • 이혜련;이경님
    • 아동학회지
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    • 제16권2호
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    • pp.125-138
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    • 1995
  • The purpose of the present research was to study developmental trends in categorical organization strategy. The subjects were 160 children - 40 nine - year - old boys, 40 nine - year - old girls, 40 seven - year - old boys, 40 seven - year - old girls. All subjects received one of three lists of items differing in category representativeness in either a free -recall or a sort -recall task. The selection of list materials permitted separation of the effects of age differences in category knowledge from those of knowledge per se on children's recall behavior. The tasks were administered to children individually with the memory task followed by the metamemory task. The data was analyzed with three - way ANOVA arid Pearson's correlation coefficient. The results were that (1) Children's recall, clustering, and metamemory increased with age, while age effects for clustering were restricted to the sort - recall/high typicality condition. At each age level, children showed higher level of recall, clustering and metamemory for category typical rather than atypical list, and sort - recall than free-recall. Level of clustering and metamemory were superior in the sort - recall task and for items of high category typicality. (2) 9 - year - old children were capable of deliberately and efficiently using category organization as a memory strategy at least when appropriate contextual support was present (as determined by task requirements and list materials: sort - recall/high typicality).

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메모리소자를 위한 Ti1-xAlxN 방지막의 산화 거동 (Oxidation Behavior of Ti1-xAlxN Barrier Layer for Memory Devices)

  • 박상식
    • 한국재료학회지
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    • 제12권9호
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    • pp.718-723
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    • 2002
  • $Ti_{1-x}$ $Al_{ x}$N thin films as barrier layer for memory devices application were deposited by reactive magnetron sputtering. The crystallinity, micro-structure, oxidation resistance and oxidation mechanism of films were investigated as a function of Al content. Lattice parameter and grain size of thin films were decreased with increasing the Al content Oxidation of the film with higher Al content is slow and then, total oxide thickness is thinner than that of lower Al content film. Oxide layer formed on the surface is AlTiNO layer. Oxidation of $Ti_{1-x}$ /$Al_{x}$ N barrier layer is diffusion limited process and thickness of oxide layer with oxidation time increased with a parabolic law. The activation energy of oxygen diffusion, Ea and diffusion coefficient, D of $Ti_{0.74}$ /X$0.74_{0.26}$N film is 2.1eV and $10^{-16}$ ~$10^{-15}$ $\textrm{cm}^2$/s, respectively. $_Ti{1-x}$ /$Al_{x}$ XN barrier layer showed good oxidation resistance.

Prediction of Significant Wave Height in Korea Strait Using Machine Learning

  • Park, Sung Boo;Shin, Seong Yun;Jung, Kwang Hyo;Lee, Byung Gook
    • 한국해양공학회지
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    • 제35권5호
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    • pp.336-346
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    • 2021
  • The prediction of wave conditions is crucial in the field of marine and ocean engineering. Hence, this study aims to predict the significant wave height through machine learning (ML), a soft computing method. The adopted metocean data, collected from 2012 to 2020, were obtained from the Korea Institute of Ocean Science and Technology. We adopted the feedforward neural network (FNN) and long-short term memory (LSTM) models to predict significant wave height. Input parameters for the input layer were selected by Pearson correlation coefficients. To obtain the optimized hyperparameter, we conducted a sensitivity study on the window size, node, layer, and activation function. Finally, the significant wave height was predicted using the FNN and LSTM models, by varying the three input parameters and three window sizes. Accordingly, FNN (W48) (i.e., FNN with window size 48) and LSTM (W48) (i.e., LSTM with window size 48) were superior outcomes. The most suitable model for predicting the significant wave height was FNN(W48) owing to its accuracy and calculation time. If the metocean data were further accumulated, the accuracy of the ML model would have improved, and it will be beneficial to predict added resistance by waves when conducting a sea trial test.

Improving streamflow prediction with assimilating the SMAP soil moisture data in WRF-Hydro

  • Kim, Yeri;Kim, Yeonjoo
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.205-205
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    • 2021
  • Surface soil moisture, which governs the partitioning of precipitation into infiltration and runoff, plays an important role in the hydrological cycle. The assimilation of satellite soil moisture retrievals into a land surface model or hydrological model has been shown to improve the predictive skill of hydrological variables. This study aims to improve streamflow prediction with Weather Research and Forecasting model-Hydrological modeling system (WRF-Hydro) by assimilating Soil Moisture Active and Passive (SMAP) data at 3 km and analyze its impacts on hydrological components. We applied Cumulative Distribution Function (CDF) technique to remove the bias of SMAP data and assimilate SMAP data (April to July 2015-2019) into WRF-Hydro by using an Ensemble Kalman Filter (EnKF) with a total 12 ensembles. Daily inflow and soil moisture estimates of major dams (Soyanggang, Chungju, Sumjin dam) of South Korea were evaluated. We investigated how hydrologic variables such as runoff, evaporation and soil moisture were better simulated with the data assimilation than without the data assimilation. The result shows that the correlation coefficient of topsoil moisture can be improved, however a change of dam inflow was not outstanding. It may attribute to the fact that soil moisture memory and the respective memory of runoff play on different time scales. These findings demonstrate that the assimilation of satellite soil moisture retrievals can improve the predictive skill of hydrological variables for a better understanding of the water cycle.

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밴드구조 VHAR 모형 (Banded vector heterogeneous autoregression models)

  • 김상태;백창룡
    • 응용통계연구
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    • 제36권6호
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    • pp.529-545
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    • 2023
  • 본 논문에서는 장기 기억성을 가지는 고차원 시계열 데이터 분석에 유용한, 밴드 구조의 계수행렬들을 가지는 밴드구조 VHAR (Banded-VHAR) 모형을 제안한다. 밴드구조 VHAR 모형은 인접한 차원의 시계열에서만 상관구조를 가지는 성근 고차원 시계열 모형으로 밴드구조에 영향을 주는 요인으로는 대표적으로 지리적 특성이 있다. 밴드구조 VHAR 모형의 빠른 추정을 위해 본 논문은 행별추정방법을 사용하고 또 밴드의 크기를 추정하기 위해 BIC와 잔차제곱합의 비율을 이용한 추정 방법을 소개하였다. 더불어 모의 실험을 통해서 제안한 추정 방법의 점근적 일치성을 확인하였다. 실증자료 분석으로 지역별 초미세먼지 및 아파트 거래량 자료를 활용하여 모형을 적용한 결과 밴드구조 VHAR 모형이 표본외예측 능력의 우수하고, 지리적정보에 기반하여 모형의 해석이 용이하다는 큰 장점이 있음을 살펴보았다.

유한요소-전달강성계수법을 이용한 평판 구조물의 강제진동해석 (Forced Vibration Analysis of Plate Structures Using Finite Element-Transfer Stiffness Coefficient Method)

  • 최명수
    • 한국소음진동공학회논문집
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    • 제13권2호
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    • pp.99-107
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    • 2003
  • The finite element method(FEM) is the most widely used and powerful method for structural analysis. In general, in order to analyze complex and large structures, we have used the FEM. However, it is necessary to use a large amount of computer memory and computation time for solving accurately by the FEM the dynamic problem of a system with many degree-of-freedom, because the FEM has to deal with very large matrices in this case. Therefore, it was very difficult to analyze the vibration for plate structures with a large number of degrees of freedom by the FEM on a personal computer. For overcoming this disadvantage of the FEM without the loss of the accuracy, the finite element-transfer stiffness coefficient method(FE-TSCM) was developed. The concept of the FE-TSCM is based on the combination of modeling technique in the FEM and the transfer technique in the transfer stiffness coefficient method(TSCM). The merit of the FE-TSCM is to take the advantages of both methods, that is, the convenience of the modeling in the FEM and the computation efficiency of the TSCM. In this paper, the forced vibration analysis algorithm of plate structures is formulated by the FE-TSCM. In order to illustrate the accuracy and the efficiency of the FE-TSCM, results of frequency response analysis for a rectangular plate, which was adopted as a computational model, were compared with those by the modal analysis method and the direct analysis method which are based on the FEM.

강성계수의 전달을 이용한 골조구조물의 정적해석 (Static Analysis of Frame Structures Using Transfer of Stiffness Coefficient)

  • 최명수;문덕홍;정하용
    • 한국전산구조공학회논문집
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    • 제16권1호
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    • pp.9-18
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    • 2003
  • 파양한 구조물의 정적해석에서 매트릭스구조해석법은 가상 폭넓게 사용되고 있는 강력한 해석기법이다. 그러나 이 방법으로 많은 수의 자유도를 갖는 구조물을 정확히 해석하기 위해서는 많은 계산 메모리와 빠른 처리 능력을 갖춘 고성능 컴퓨터를 필요로하는 취약점이 있다. 따라서 매트릭스구조해석법으로 많은 수의 자유노를 갖는 구조물을 퍼스널 컴퓨터 상에서 정확히 해석하기에는 곤란한 경우가 많다. 매트릭스구조해석법치 이러한 취약점을 극복하기 위하여, 저자들은 전달강성계수법을 제안한다. 전달강성계수법은 해석대상 구조물에 대한 강성계수의 전달에 기본 개념을 두고 있으am로 퍼스널 컴퓨터에 매우 적합한 해석기법이다. 본 논문에서는 골조추조물에 대한 정적해석 알고리듬을 전달강성계수법으로 정식화한다. 그리고 전달강성계수법, NASTRAN, 매트릭스구조해석법 그리고 해석해에 의한 계산 결과들의 비교를 통해 전달강성계수법의 유효성을 확인한다.

AC PDP 유전층의 절연파괴 전압과 투명도에 관한 연구 (A Study on the Dielectric Breakdown voltage and Transparency of Dielectric Layer in AC PDP)

  • 박정후;이성현;김규섭;손제봉;조정수
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제48권1호
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    • pp.39-44
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    • 1999
  • The dielectric layers in AC plasma display panel(PDP) are essential to the discharge cell structure, because they protect metal electrodes from sputtering by positive ion bombarding in discharge plasma and form a sheath of wall charges which are essential to memory function of AC PDP. This layer should have high dielectric breakdown voltage, and also be transparent because the luminance of PDP is strongly correlated this layer. In this paper, we discussed the dielectric breakdown voltage and transparency of the dielectric layer under various conditions. As a result, on the $15\mum$ thickness, the minimum dielectric breakdown voltage was 435V and the transmission coefficient was about 80% after $570^{\circ}C$ firing process. It can be proposed that the resonable dielectric thickness in AC PDP is $15\mum$ because it has about 75V margin on the maximum applied voltage.

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분할행렬법에 의한 다중 계단지형에서의 파랑변형 계산 (Computation of Wave Propagation over Multi-Step Topography by Partition Matrix Method)

  • 서승남
    • 대한토목학회논문집
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    • 제29권4B호
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    • pp.377-384
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    • 2009
  • 다중 계단으로 근사한 사주지형 위를 지나는 선형 파랑전파에 대한 고유함수 전개법에서 크기가 큰 행렬을 풀 때 계산시간을 상당히 단축하기 위하여 분할행렬법을 사용하여 반사율을 계산하였다. 본 모형에 10개의 억류파를 사용하여 현재까지 가장 정밀한 수치해를 구하였고 구한 반사율의 거동은 몇 경우에서 기존 결과와 다름을 보였다. 크기가 큰 행렬을 풀 때 본 분할행렬법의 계산시간과 기억용량은 여전히 커서 효율적인 방법에 대한 개발이 요구된다.

온도 및 공정 보상 전류 미러를 이용한 정밀한 전류 레퍼런스 (An Accurate Current Reference using Temperature and Process Compensation Current Mirror)

  • 양병도
    • 대한전자공학회논문지SD
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    • 제46권8호
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    • pp.79-85
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    • 2009
  • 본 논문에서는 온도 및 공정 보상 전류 미러(temperature and process compensation current mirror: TPC-CM)를 이용한 정밀 전류 레퍼런스를 제안하였다. 온도 변화에 영향을 받지 않는 기준 전류는 절대 온도에 비례하여 증가하는 PTAT (proportional to absolute temperature) 전류와 온도에 반비례하여 감소하는 CTAT(complementary to absolute temperature) 전류의 합으로 생성된다. 그러나 온도 계수(temperature coefficient)와 기준 전류의 크기는 공정 변화에 크게 영향을 받는다. 이런 공정 변화를 보정하기 위하여, 제안된 TPC-CM에서는 온도 계수와 기준 전류의 크기를 조절하는 두 개의 이진 가중치 전류 미러(binary weighted current mirror)를 이용하였다. 제작된 각 칩마다 PTAT 전류와 CTAT 전류를 측정한 후, 기준 전류의 크기가 온도에 상관없이 일정하도록, TPC-CM의 스위치 코드를 결정하고 그 값을 비휘발성 메모리에 저장한다. 시뮬레이션에서 TPC-CM는 공정변화 영향을 19.7%에 서 0.52%로 줄였다. 제안된 전류 레퍼런스는 3.3V 0.35um CMOS 공정을 이용하여 제작되었으며, 측정된 칩의 기준 전류 변화율은 $20^{\circ}$C${\sim}$100$^{\circ}$C에서 0.42%였다.