• Title/Summary/Keyword: 축소비

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Face Recognition using Dimension Reduction Features based on Partial Least Squares (부분 최소제곱법 기반한 차원 축소 특징을 이용한 얼굴 인식)

  • Lee, Chang-Beom;Kim, Do-Hyang;Park, Hyuk-Ro;Baek, Jangsun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.745-748
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    • 2004
  • 얼굴 이미지의 대부분은 표본의 수보다 특징 변수의 수가 많기 때문에 이러한 점을 고려한 특징 추출 방법이 필요하다. 본 논문에서는 부분 최소제곱법을 이용하여 특징 벡터의 차원을 축소하는 방법을 제안한다. 전통적인 차원 축소 방법인 주성분 분석은 클래스의 정보를 고려하지 않고 최대 변이를 가지는 성분을 추출하기 때문에, 클래스의 구분에 필요한 특징을 필수적으로 추출하지 못한다. 이에 비해, 부분 최소제곱법은 클래스 변수에 대한 정보를 포함하여 성분을 추출한다. 그러므로, 분류를 하는데 있어서는 주성분 분석에 의해 추출된 성분보다는 부분 최소제곱법에 의해 추출된 성분이 보다 더 예측적이다. 맨체스터와 ORL 얼굴 데이터베이스를 이용하여 실험한 결과, 분류와 차원 축소 측면에서 주성분 분석 방법보다는 부분 최소제곱법을 이용한 방법이 그 성능이 우수함을 알 수 있었다.

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Performance Enhancement of Android Malware Classification using PCA (주성분 분석을 활용한 안드로이드 악성코드 분류 성능 향상 방안)

  • Jeon, Dong-Ha;Lee, Soo-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.249-250
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    • 2022
  • 최근 API Call을 기반으로 하는 악성코드 탐지 및 분류에 대한 연구가 활발히 진행되고 있다. 그러나 API Call 기반의 데이터는 방대한 양과 다양한 차원의 특성으로 인해 분석과 학습 모델 구축 측면에서 비효율적인 한계가 있다. 이에 본 연구에서는 방대한 API Call 정보를 포함하고 있는 CICAndMal2020 데이터 세트를 대상으로 기존의 특성 선택 기법이 아닌 주성분 분석(Principal Component Analysis)을 사용하여 차원을 대폭 축소 시킨 후 머신러닝 기법을 적용하여 분류를 시도하였다. 실험 결과 전체 9,503개의 특성을 25개의 주성분(전체 대비 약 0.26% 수준)으로 축소시키고 다중 분류 기준 약 84%의 정확도를 나타냈다. 결과적으로 기존 연구에서의 탐지 모델 대비 정확도, F1-score 등의 성능 향상은 물론 차원 축소 측면에서 매우 향상된 결과를 달성하였다.

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Dimension Reduction Method of Speech Feature Vector for Real-Time Adaptation of Voice Activity Detection (음성구간 검출기의 실시간 적응화를 위한 음성 특징벡터의 차원 축소 방법)

  • Park Jin-Young;Lee Kwang-Seok;Hur Kang-In
    • Journal of the Institute of Convergence Signal Processing
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    • v.7 no.3
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    • pp.116-121
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    • 2006
  • In this paper, we propose the dimension reduction method of multi-dimension speech feature vector for real-time adaptation procedure in various noisy environments. This method which reduces dimensions non-linearly to map the likelihood of speech feature vector and noise feature vector. The LRT(Likelihood Ratio Test) is used for classifying speech and non-speech. The results of implementation are similar to multi-dimensional speech feature vector. The results of speech recognition implementation of detected speech data are also similar to multi-dimensional(10-order dimensional MFCC(Mel-Frequency Cepstral Coefficient)) speech feature vector.

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Local Nonlinear Static Analysis via Static Condensation (강성응축기법을 이용한 국부 비선형 정적 해석)

  • Shin, Han-Seop;Oh, Min-Han;Boo, Seung-Hwan
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.1
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    • pp.193-200
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    • 2021
  • In this study, an analysis technique using static condensation is proposed for an efficient local nonlinear static analysis. The static condensation method is a model reduction method based on the degrees of freedom, and the analysis model is divided into a target part and a condensed part to be omitted. In this study, the nonlinear and linear parts were designated to the target and the omitted parts, respectively, and both the stiffness matrix and load vector corresponding to the linear part were condensed into the nonlinear part. After model condensation, the reduced model comprising the stiffness matrix and the load vector for the nonlinear part is constructed, and only this reduced model was updated through the Newton-Raphson iteration for an efficient nonlinear analysis. Finally, the efficiency and reliability of the proposed analysis technique were presented by applying it to various numerical examples.

A Study on Topographic Effects in 2D Resistivity Survey by Numerical and Physical Scale Modeling (수치 및 축소모형실험에 의한 2차원 전기비저항 탐사에서의 지형효과에 관한 연구)

  • Kim Gun-Soo;Cho In-Ky;Kim Ki-Ju
    • Geophysics and Geophysical Exploration
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    • v.6 no.4
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    • pp.165-170
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    • 2003
  • Recently, resistivity surveys have been frequently carried out over the irregular terrain such as mountainous area. Such an irregular terrain itself can produce significant anomalies which may lead to misinterpretations. In this study, topographic effects in resistivity survey were studied using the physical scale modeling as well as the numerical one adopting finite element method. The scale modeling was conducted at a pond, so that we could avoid the edge effect, the inherent problem of the scale modeling conducted in a water tank in laboratory. The modeling experiments for two topographic features, a ridge and a valley with various slope angles, confirmed that the results by the two different modeling techniques coincide with each other fairly well for all the terrain models. These experiments adopting dipole-dipole array showed the distinctive terrain effects, such that a ridge produces a high apparent resistivity anomaly at the ridge center flanked by zones of lower apparent resistivity. On the other hand, a valley produces the opposite anomaly pattern, a central low flanked by highs. As the slope of a terrain model becomes steeper, the terrain-induced anomalies become stronger, and moreover, apparent resistivity can become even negative for the model with extremely high slope angle. All the modeling results led us to the conclusion that terrain effects should be included in the numerical modeling and/or the inversion process to interpret data acquired at the rugged terrain area.

Nonlinear Semigroup and Dissipative Operators

  • Woo, Han Chang
    • The Mathematical Education
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    • v.15 no.1
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    • pp.33-38
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    • 1976
  • 본 논문에서는 Banach 공간에서의 비선형 축소작용소의 반군에 대하여 조사하고 비선형 반군에서의 생성작용소의 생성을 논하였다.

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Numerical Homogenization in Concrete Materials Using Multi-Resolution Analysis (다중해상도해석을 이용한 콘크리트 재료의 수치적 동질화)

  • Rhee In-Kyu;Roh Young-Sook
    • Journal of the Korea Concrete Institute
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    • v.17 no.6 s.90
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    • pp.939-946
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    • 2005
  • The stiffness properties of heterogeneous concrete materials and their degradation were investigated at different-levels of observations with aids of the opportunities and limitations of multi-resolution wavelet analysis. The successive Haw transformations lead to a recursive separation of the stiffness properties and the response into coarse-and fine-scale features. In the limit, this recursive process results in a homogenization parameter which is an average measure of stiffness and strain energy capacity at the coarse scale. The basic concept of multi-resolution analysis is illustrated with one and two-dimensional model problems of a two-phase particulate composite representative of the morphology of concrete materials. The computational studies include the meso-structural features of concrete in the form of a hi-material system of aggregate particles which are immersed in a hardened cement paste taking due to account of the mismatch of the two elastic constituents.

Evaluation of Reducing Cross Section of the Partial Drainage Shield Tunnel Segment using the Model Experiments (축소모형실험을 통한 부분배수 쉴드터널의 세그먼트 단면 축소 가능성 평가)

  • Ma, Sang Joon;Lee, Young Sub;Kim, Dong Min
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.2
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    • pp.387-396
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    • 2015
  • The existing shield tunnel has constructed in the concept of non-drainage uniformly, but the leak has become a problem in the construction and management. The Shield tunnel design allowed for the water and earth pressure bring about the increasing segment thickness and the construction costs. In order to improve these problems, the study of the partial drainage shield tunnel is in progress. In this study, th model experiment was performed to confirm the possibility of the partial drainage shield tunnel. And the water and earth pressure was measured in drainage and undrained condition. Based on the results of model experiments, the effect of water pressure reduction was confirmed by reviewed the structure stability of the real design case.

(Frequency Weighted Reduction Using Iterative Approach of BMI) (BMI의 반복적 해법을 이용한 주파수하중 차수축소)

  • Kim, Yong-Tae;O, Do-Chang;Park, Hong-Bae
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.1
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    • pp.33-41
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    • 2002
  • In this paper, we present a frequency weighted model reduction using LMIs for minimizing the H$\infty$ weighted model error compared with the methods of frequency weighted balanced truncation and frequency weighted Hankel norm approximation. The proposed algorithm, its form is equal to the sufficient condition of performance preserving controller approximation, is based on an iterative two-step LMI scheme induced from bound real lemma. So, it can be applied to the problem of the performance preserving controller approximation. The controller reduction is useful in a practical control design and ensures its easy implementation and high reliability The validity of the proposed algorithm is shown through numerical examples. Additionaly, we extend the proposed algorithm to performance preserving controller approximation by applying to the HIMAT(highly maneuverable aircraft technology) system.

Image Resolution Reduction Algorithm of Arbitrary Rate and Its Hardware Architecture (임의의 비율을 지원하는 영상 축소 알고리즘과 하드웨어 구조)

  • Park, Hyun-Sang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3094-3097
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    • 2009
  • The use of general-purpose divider is inevitable to implement a image down-scaler when an arbitrary scaling ratio is given. To get an output at every clock from the divider, the divider should be implemented by LUT, however, its hardware size will be bigger and bigger as the precision level is increased. In this paper, a new image scaling algorithm is presented for a arbitrary scaling ratio, which do not requires a general-purpose or LUT-based divider. The proposed algorithm utilizes only comparators and adders such that the hardware size can be reduced by 1/10 compared to the conventional approaches.