• Title/Summary/Keyword: 절대값

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A Study on Collaborative filtering Based on Neural Network for Increment Performance (신경망 기반 협력적 여과의 성능 향상을 위한 연구)

  • Kim, Eun-Ju;Ryu, Joung-Woo;Kim, Myung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.309-312
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    • 2003
  • 추천 시스템을 위한 여과 기술에는 협력적 여과, 내용기반 여과 등이 있다. 협력적 여과 방법은 적용이 용이한 반면 회소성 문제와 초기 평가 문제가 있으며, 내용기반 여과는 정보의 질을 구분하는 것이 어려워 효과가 적다는 단점이 있다. 신경망 기반 협력적 여과 방법은 이러한 문제를 해결하고 있지만, 사용자의 수가 많아지면 모델이 커져 효율성이 떨어지는 문제가 있다. 본 논문에서는 신경망 기반 협력적 여과의 효율성을 높이기 위해 상관도를 고려하는 신경망 기반 협력적 여과를 제안한다. 여기서 상관도란 피어슨 상관계수를 이용하여 구해진 상관계수의 절대값을 의미하며 상관도가 높다라는 것은 상관계수의 절대값이 1에 가까운 경우를 말한다. 본 논문에서는 EachMovie 데이터를 이용하여 제안한 방법의 우수함을 보인다.

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An Analog Content Addressable Memory implemented with a Winner-Take-All Strategy (승자전취 메커니즘 방식의 아날로그 연상메모리)

  • Chai, Yong-Yoong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.1
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    • pp.105-111
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    • 2013
  • We have developed an analog associative memory implemented with an analog array which has linear writing and erasing characteristics. The associative memory adopts a winner-take-all strategy. The operation for reading in the memory is executed with an absolute differencing circuit and a winner-take-all (WTA) circuit suitable for a nearest-match function of a content-addressable memory. We also present a system architecture that enables highly-paralleled fast writing and quick readout as well as high integration density. A multiple memory cell configuration is also presented for achieving higher integration density, quick readout, and fast writing. The system technology presented here is ideal for a real time recognition system. We simulate the function of the mechanism by menas of Hspice with $1.2{\mu}$ double poly CMOS parameters of MOSIS fabrication process.

Goodness of Fit and Independence Tests for Major 8 Companies of Korean Stock Market (한국 주식시장 상위 8개사에 대한 적합도 검정 및 독립성 검정)

  • Min, Seungsik
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1245-1255
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    • 2015
  • In this paper, we investigated the major 8 companies of Korean stock market, and carried out the goodness of fit and independence tests. We found out the distributions of absolute returns are closed to compressed exponential distribution. The parameters are dominant that 1 < ${\beta}$ < 2, followed by ${\beta}=1$(exponential distribution) and ${\beta}=2$(normal distribution). Meanwhile, we assured that most of the absolute returns for major 8 companies have relevance to each other by chi-square independence test.

Least mean absolute third (LMAT) adaptive algorithm:part II. performance evaluation of the algorithm (최소평균절대값삼승 (LMAT) 적응 알고리즘: Part II. 알고리즘의 성능 평가)

  • 김상덕;김성수;조성호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.10
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    • pp.2310-2316
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    • 1997
  • This paper presents a comparative performance analysis of the stochastic gradient adaptive algorithm based on the least mean absolute third (LMAT) error criterion with other widely-used competing adaptive algorithms. Under the assumption that the signals involved are zero-mean, wide-sense stationary and Gaussian, approximate expressions that characterize the steady-state mean-squared estimation error of the algorithm is dervied. The validity of our derivation is then confirement by computer simulations. The convergence speed is compared under the condition that the LMAT and other competing algorithms converge to the same value for the mean-squared estimation error in the stead-state, and superior convergence property of the LMAT algorithm is observed. In particular, it is shown that the LMAT algorithm converges faster than other algorithms even through the eignevalue spread ratio of the input signal and measurement noise power change.

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Gene Selection Based on Support Vector Machine using Bootstrap (붓스트랩 방법을 활용한 SVM 기반 유전자 선택 기법)

  • Song, Seuck-Heun;Kim, Kyoung-Hee;Park, Chang-Yi;Koo, Ja-Yong
    • The Korean Journal of Applied Statistics
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    • v.20 no.3
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    • pp.531-540
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    • 2007
  • The recursive feature elimination for support vector machine is known to be useful in selecting relevant genes. Since the criterion for choosing relevant genes is the absolute value of a coefficient, the recursive feature elimination may suffer from a scaling problem. We propose a modified version of the recursive feature elimination algorithm using bootstrap. In our method, the criterion for determining relevant genes is the absolute value of a coefficient divided by its standard error, which accounts for statistical variability of the coefficient. Through numerical examples, we illustrate that our method is effective in gene selection.

Damage Detection in Steel Box Girder Bridge using Static Responses (강박스 거더교에서 정적 거동에 의한 손상 탐지)

  • Son, Byung Jik;Huh, Yong-Hak;Park, Philip;Kim, dong Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4A
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    • pp.693-700
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    • 2006
  • To detect and evaluate the damage present in bridge, static identification method is known to be simple and effective, compared to dynamic method. In this study, the damage detection method in steel box girder bridge using static responses including displacement, slope and curvature is examined. The static displacement is calculated using finite element analysis and the slope and curvature are determined from the displacement using central difference method. The location of damage is detected using the absolute differences of these responses in intact and damaged bridge. Steel box girder bridge with corner crack is modeled using singular element in finite element method. The results show that these responses were significantly useful in detecting and predicting the location of damage present in bridge.

The Normal Stress of TiO2 Electrorheological Fluid and Its Model Prediction (이산화티타늄 전기유변 유체의 수직 응력과 정전기 분극 모델에 의한 전산모사)

  • Young Dae Kim
    • Korean Chemical Engineering Research
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    • v.62 no.3
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    • pp.269-273
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    • 2024
  • The normal stress of TiO2 ER fluid under an electric field showed negative values due to the electrostatic attraction force in the normal direction between particles and the absolute value increased dramatically with electric field strengths. The normal yield stress exhibited E2 dependence similar to the dynamic yield stress, indicating that normal stress can be utilized for evaluating the ER effect. Numerical simulation demonstrated good qualitative agreement with the experimental data and suggested that the decrease in the absolute value of normal stress with increasing shear rates was attributed to the rearrangement of particle configurations under shear.

주가시계열의 무한분산과 장기의존성

  • Lee, Il-Gyun
    • The Korean Journal of Financial Studies
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    • v.12 no.1
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    • pp.1-17
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    • 2006
  • 쇄신의 분산이 무한인 주가시계열이 장기의존성 과정에 의하여 생성되고 있는가 또는 생성되고 있지 않는가를 검정하고자 한다. 기존의 연구가 쇄신의 분산이 유한한 경우에 한정하여 장기의존성 주가 과정에 대한 장기기억성이 검토되어왔다. 이 논문에서는 쇄신의 분산이 유한한 경우와 무한한 경우에 다같이 적용되는 방법들을 한국종합주가지수의 일별수익률에 적용하여 장기기억 모수를 추정 검정한다. 추정방법으로서는 분수 가우스 잡음, 가우스 분수적분 자기회기 이동평균, 선형 분수안정잡음 등이 형성되는 상황에 절대값 방법, 분수 방법과 총량화 Whittle 방법을 사용한다. 한국종합주가지수의 일별대수수익률 시계열은 분산이 무한한 경우에도 장기의존성과정에 의하여 생성되고 있다. 극치가 존재해도 장기기억과정이 형성 되고 있다.

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Setereo Acoustic Echo Canceller Using Variable Difference Components of Channel Signals (가변하는 채널 신호의 차성분을 이용한 스테레오 음향 반향 제거기)

  • 정일규;김현태;박장식;손경식
    • Proceedings of the Korea Multimedia Society Conference
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    • 2000.04a
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    • pp.141-144
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    • 2000
  • 스테레오 음향 반향 제거기는 채널신호간에 상호상관(cross-correlation) 때문에 적응필터 계수가 수신실의 반향 경로를 정확하게 추정하지 못한다. 본 논문에서는 상호상관을 줄이기 위해서 채널신호간 차의 절대값과 시변 감쇠상수를 이용하는 새로운 전처리 필터를 제안한다. 시뮬레이션을 통해서 제안하는 전처리 필터가 기존의 방법에 비해서 우수함을 보인다.

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