• Title/Summary/Keyword: 일반화하기

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균열암반에서의 양수시험자료 해석과 일반화 방사상 유동모델의 적용성 연구

  • 성현정;김용제;우남칠;이철우;김구영
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.09a
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    • pp.493-496
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    • 2003
  • 이 연구는 우리나라 균열암반 대수층의 수리적 특성을 해석ㆍ평가하기 위하여 양수시험 해석해(Theis, 1935; Cooper-Jacob, 1946; Papadopulos-Cooper, 1967; Hantush, 1962a,b; Moench, 1985; Hantush-Jacob, 1955) 및 일반화 방사상 유동 모델을 이용하여 균열암반 대수층(화강암, 화산암, 변성암, 백악기퇴적암, 제3기 퇴적암에 굴착된 100개 조사공)에서 수행되어진 양수시험으로부터 얻은 122개의 양수시험자료(수위강하 자료)를 분석하였다. AQTESOLV 전산프로그램을 이용한 양수시험자료 분석에 의하면, 122개 자료중 86개(71%)의 자료들이 이 연구에 사용된 해석해와 일치하며, 양수시험자료 해석해 중에 누수(leaky) 및 경계조건(boundary condition)을 고려한 해석해들이 53개(43%)로 가장 많이 나타났다. 그러므로, 양수시험자료의 해석은 균열암반 대수층의 수리지질학적 특성에 적합한 개념모델의 설정이 중요하다. 일반화 방사상 유동(GRF)모델을 적용해보면, 122개의 자료중 77개(63%)의 자료들이 Barker(1988)의 표준곡선에 의한 차원(1.1차원-2.9차원)을 보여준다. 이중 44.2%에 해당하는 39개 자료가 1.1차원과 1.9차원 사이의 분할 유동차원을 보여주는 반면에 26개(6.5%)만이 Theis 이론에 맞는 2차원의 방사상 흐름을 보여주며, 38개(49.3%)는 2.1차원에서 2.9차원에 속한다. 따라서 우리나라 균열암반 대수층에서 지하수 유동은 대부분 분할차원의 유동을 보여주는 것으로 평가된다.

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Performance Analysis of Generic Bit Error Rate of M-ary Square QAM (정방형 M진 직교 진폭 변조 신호의 일반화된 BER 성능 분석)

  • Cho, Kyong-Kuk;Yoon, Dong-Weon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.38 no.11
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    • pp.41-48
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    • 2001
  • The exact general bit error rate (TIER) expression of M-ary square quadrature amplitude modulation (QAM) for arbitrary M has not been derived so far. In this paper, a generalized closed-form expression for the BER performance of M-ary square QAM with Gray code bit mapping is derived and analyzed in the presence of additive white Gaussian noise (AWGN) channel. The derivation is based on the consistency of the format in signal constellation o[ Gray coding and it has been derived from the results for M-16, 64, and 256.

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Maximum likelihood estimation of Logistic random effects model (로지스틱 임의선형 혼합모형의 최대우도 추정법)

  • Kim, Minah;Kyung, Minjung
    • The Korean Journal of Applied Statistics
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    • v.30 no.6
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    • pp.957-981
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    • 2017
  • A generalized linear mixed model is an extension of a generalized linear model that allows random effect as well as provides flexibility in developing a suitable model when observations are correlated or when there are other underlying phenomena that contribute to resulting variability. We describe maximum likelihood estimation methods for logistic regression models that include random effects - the Laplace approximation, Gauss-Hermite quadrature, adaptive Gauss-Hermite quadrature, and pseudo-likelihood. Applications are provided with social science problems by analyzing the effect of mental health and life satisfaction on volunteer activities from Korean welfare panel data; in addition, we observe that the inclusion of random effects in the model leads to improved analyses with more reasonable inferences.

An Analysis on Sixth Graders' Recognition and Thinking of Functional Relationships - A Case Study with Geometric Growing Patterns - (초등학교 6학년 학생들의 함수적 관계 인식 및 사고 과정 분석 - 기하 패턴 탐구 상황에서의 사례연구 -)

  • Choi, JiYoung;Pang, JeongSuk
    • Journal of Educational Research in Mathematics
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    • v.24 no.2
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    • pp.205-225
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    • 2014
  • This study analyzed how two sixth graders recognized, generalized, and represented functional relationships in exploring geometric growing patterns. The results showed that at first the students had a tendency to solve the given problem using the picture in it, but later attempted to generalize the functional relationships in exploring subsequent items. The students also represented the patterns with their own methods, which in turn had an impact on the process of generalizing and applying the patterns to a related context. Given these results, this paper includes issues and implications on how to foster functional thinking ability at the elementary school.

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공탄성 해석 및 제어를 위한 일반화된 비정상 공기력 계산 및 근사화 기법

  • Lee, Sang-Wook;Kim, Tae-Uk;Hwang, In-Hee
    • Aerospace Engineering and Technology
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    • v.3 no.1
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    • pp.1-8
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    • 2004
  • In this study, the method of computing and extracting the generalized unsteady aerodynamic matrices using MSC/NASTRAN and MSC/NASTRAN DMAP ALTER has been suggested for the analysis and control of aeroelastic phenomena such as flutter and gust response analysis. In addition to that, the method of approximating the generalized unsteady aerodynamic matrices using minimum state approximation method has been proposed in order to cast the aeroelastic equations of motion in state space form for aeroelastic analysis and control application. Simplified aircraft wing box model has been used for the validation of the methods suggested in this study.

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A predictor-corrector algorithm of the generalized-$\alpha$ method for analysis of structural dynamics (동적해석을 위한 일반화된$\alpha$ 방범의 예측 수정자 알고리즘)

  • ;Hulbert, Gregory M.
    • Journal of KSNVE
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    • v.5 no.2
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    • pp.207-213
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    • 1995
  • A new predictor-corrector explicit time integration algorithm is presented for solving structural dynamics problems. The basis of the algorithm is the implicit generalized-.alpha. method recently developed by the authors. Like its implicit parent, the explicit generalized-$\alpha$ method is a one- parameter family of algorithms in which the parameter defines the high-frequency numerical dissipation. The algorithm can be utilized effectively for linear and nonlinear structural dynamics calculations is which numerical dissipation is needed to reduce spurious oscillations inherent in non-dissipative time integration methods used to solve wave propagation problems.

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Bit Error Rate of Generalized Triangular QAM (일반화된 TQAM의 비트 오류 확률)

  • Cho, Kyongkuk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.5
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    • pp.229-236
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    • 2014
  • Quadrature Amplitude Modulation (QAM) is widely used in contemporary wired and wireless communications systems. In this paper, I propose a generalized triangular quadrature amplitude modulation (gTQAM) that includes the square quadrature amplitude modulation (SQAM), TQAM, and ${\Theta}$-QAM as special cases. Therefore, the proposed gTQAM forming a lattice of arbitrary triangles provides a versatile structure in signal constellations compared to other QAM schemes. For M-ary gTQAM, I derive an exact closed-form expression for the bit error rate (BER), and present the optimal signal constellations for given SNR values from the derived BER expression. Finally, I validate the derived BER results through computer simulations.

Location Generalization Method for Pattern Mining of Moving Object (이동 객체의 패턴 마이닝을 위한 위치 일반화 방법)

  • Ko, Hyun;Kim, Kwang-Jong;Lee, Yon-Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.11a
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    • pp.405-408
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    • 2006
  • 사용자들의 특성에 맞게 개인화되고 세분화된 위치 기반 서비스를 제공하기 위해서는 방대한 이동객체의 위치 이력 데이터로부터 유용한 패턴을 추출하기 위한 시간 패턴 탐사가 필요하다. 기존의 시간 패턴 탐사 기법들은 이동 객체의 시간에 따른 공간 속성들의 변화를 충분히 고려하지 못하거나, 시공간 속성을 동시에 고려한 패턴 탐사는 가능하나 제약을 가진 공간 정보를 포함하는 패턴 탐사 문제에는 적용하기 어렵다. 따라서 이동 객체의 위치 이력 데이터들에 대한 시공간적 속성들을 동시에 고려하여 다양한 이동 패턴들 중 공간 제약을 만족하는 패턴들을 추출하기 위한 새로운 이동 패턴 탐사 기법이 요구된다. 이러한 패턴 탐사 기법의 개발을 위해서는 상세 수준의 위치 이력 데이터들을 공간 영역 정보 형태로 변환하는 위치 일반화 접근법이 필요하다. 이에 본 논문에서는 객체의 위치값과 공간 영역간의 위상 관계를 고려하여 이동 객체의 위치 속성에 대한 공간영역으로의 일반화 방법을 제안한다. 이동 객체의 상세 수준의 위치 정보에서는 의미있는 패턴을 찾기가 어렵기 때문에 데이터 전처리 과정을 통해 일반화된 데이터 집합을 형성함으로써 효율적인 이동 객체의 시간 패턴 마이닝을 유도할 수 있다.

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Hyper-Geometric Distribution Software Reliability Growth Model : Generalizatio, Estimation and Prediction (초기하분포 소프트웨어 신뢰성 성장 모델 : 일반화, 추정과 예측)

  • Park, Jung-Yang;Yu, Chang-Yeol;Park, Jae-Hong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.9
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    • pp.2343-2349
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    • 1999
  • The hyper-geometric distribution software reliability growth model (HGDM) was recently developed and successfully applied to real data sets. The HGDM considers the sensitivity factor as a parameter to be estimated. In order to reflect the random behavior of the test-and-debug process, this paper generalizes the HGDM by assuming that the sensitivity factor is a binomial random variable. Such a generalization enables us to easily understand the statistical characteristics of the HGDM. It is shown that the least squares method produces the identical results for both the HGDM and the generalized HGDM. Methods for computing the maximum likelihood estimates and predicting the future outcomes are also presented.

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Strategic Coalition for Improving Generalization Ability of Multi-agent with Evolutionary Learning (진화학습을 이용한 다중에이전트의 일반화 성능향상을 위한 전략적 연합)

  • 양승룡;조성배
    • Journal of KIISE:Software and Applications
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    • v.31 no.2
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    • pp.101-110
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    • 2004
  • In dynamic systems, such as social and economic systems, complex interactions emerge among its members. In that case, their behaviors become adaptive according to Changing environment. In many cases, an individual's behaviors can be modeled by a stimulus-response system in a dynamic environment. In this paper, we use the Iterated Prisoner's Dilemma (IPD) game, which is simple yet capable of dealing with complex problems, to model the dynamic systems. We propose strategic coalition consisting of many agents and simulate their emergence in a co-evolutionary learning environment. Also we introduce the concept of confidence for agents in a coalition and show how such confidences help to improve the generalization ability of the whole coalition. Experimental results are presented to demonstrate that co-evolutionary learning with coalitions and confidence allows better performing strategies that generalize well.