• Title/Summary/Keyword: X-vector

검색결과 595건 처리시간 0.029초

G-vector-valued Sequence Space Frames

  • Osgooei, Elnaz
    • Kyungpook Mathematical Journal
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    • 제56권3호
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    • pp.793-806
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    • 2016
  • G-vector-valued sequence space frames and g-Banach frames for Banach spaces are introduced and studied in this paper. Also, the concepts of duality mapping and ${\beta}$-dual of a BK-space are used to define frame mapping and synthesis operator of these frames, respectively. Finally, some results regarding the existence of g-vector-valued sequence space frames and g-Banach frames are obtained. In particular, it is proved that if X is a separable Banach space and Y is a Banach space with a Schauder basis, then there exist a Y-valued sequence space $Y_v$ and a g-Banach frame for X with respect to Y and $Y_v$.

MATLAB/SIMULINK의 TI C2000 DSP 임베디드 타겟을 이용한 동기 전동기 구동 시스템 (PMSM Drive System Using Embedded Target for TI C2000 DSP in MATLAB/SIMULINK)

  • 이용석;지준근;차귀수
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 하계학술대회 논문집
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    • pp.400-402
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    • 2007
  • This paper presents a vector control implementation for PMSM using Real Time Workshop and Embedded Target for TI C2000 DSP in MATLAB/SIMULINK. Speed, current and vector controllers are easily designed and implemented by using the MATLAB/SIMULINK program. Feedback of motor speed is processed through C28x QEP(Quadrature Encoder Pulse) block from encoder pulse. 3-Phase currents ares processed through C28x ADC block from current sensors. And gating signal of PWM inverter is generated through SVPWM and PWM block. Real-time program is drawn using SIMULINK and then converted program code for speed control of PMSM is downloaded into the TI eZdsp 2812 board. Experiments were carried out to examine validity of the proposed vector control implementation.

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지지벡터기계와 카이제곱 통계량을 이용한 스팸 블로그(Splog) 판별 시스템 (A Splog Detection System Using Support Vector Machines and $x^2$ Statistics)

  • 이성욱
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.905-908
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    • 2010
  • 본 연구의 목적은 웹 환경에서 스팸 블로그(Splog)를 자동으로 판별하는 시스템을 개발하는 것이다. 먼저 블로그의 HTML을 제거한 후 품사를 부착하였다. 어휘/품사 쌍을 자질로 사용하였으며 카이제곱 통계량을 이용하여 유용한 자질을 선택하였다. 선택된 자질의 가중치를 벡터로 표현한 후, 지지벡터 기계(Support Vector Machines)를 학습하여 자동으로 스팸 블로그를 판별하는 시스템을 제안하였으며, SPLOG 데이터 집합으로 실험한 결과 F1척도로 90.5%의 정확률을 얻었다.

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SVM on Top of Deep Networks for Covid-19 Detection from Chest X-ray Images

  • Do, Thanh-Nghi;Le, Van-Thanh;Doan, Thi-Huong
    • Journal of information and communication convergence engineering
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    • 제20권3호
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    • pp.219-225
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    • 2022
  • In this study, we propose training a support vector machine (SVM) model on top of deep networks for detecting Covid-19 from chest X-ray images. We started by gathering a real chest X-ray image dataset, including positive Covid-19, normal cases, and other lung diseases not caused by Covid-19. Instead of training deep networks from scratch, we fine-tuned recent pre-trained deep network models, such as DenseNet121, MobileNet v2, Inception v3, Xception, ResNet50, VGG16, and VGG19, to classify chest X-ray images into one of three classes (Covid-19, normal, and other lung). We propose training an SVM model on top of deep networks to perform a nonlinear combination of deep network outputs, improving classification over any single deep network. The empirical test results on the real chest X-ray image dataset show that deep network models, with an exception of ResNet50 with 82.44%, provide an accuracy of at least 92% on the test set. The proposed SVM on top of the deep network achieved the highest accuracy of 96.16%.

DEFINABLE Cr FIBER BUNDLES AND DEFINABLE CrG VECTOR BUNDLES

  • Kawakami, Tomohiro
    • 대한수학회논문집
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    • 제23권2호
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    • pp.257-268
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    • 2008
  • Let G and K be compact subgroups of orthogonal groups and $0{\leq}r<x<{\infty}$. We prove that every topological fiber bundle over a definable $C^r$ manifold whose structure group is K admits a unique strongly definable $C^r$ fiber bundle structure up to definable $C^r$ fiber bundle isomorphism. We prove that every G vector bundle over an affine definable $C^rG$ manifold admits a unique strongly definable $C^rG$ vector bundle structure up to definable $C^rG$ vector bundle isomorphism.

ON THE BIHARMONICITY OF VECTOR FIELDS ON PSEUDO-RIEMANNIAN MANIFOLDS

  • Amina Alem;Bouazza Kacimi;Mustafa Ozkan
    • 호남수학학술지
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    • 제45권2호
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    • pp.300-315
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    • 2023
  • In this article, we deal with the biharmonicity of a vector field X viewed as a map from a pseudo-Riemannian manifold (M, g) into its tangent bundle TM endowed with the Sasaki metric gS. Precisely, we characterize those vector fields which are biharmonic maps, and find the relationship between them and biharmonic vector fields. Afterwards, we study the biharmonicity of left-invariant vector fields on the three dimensional Heisenberg group endowed with a left-invariant Lorentzian metric. Finally, we give examples of vector fields which are proper biharmonic maps on the Gödel universe.

Modifying linearly non-separable support vector machine binary classifier to account for the centroid mean vector

  • Mubarak Al-Shukeili;Ronald Wesonga
    • Communications for Statistical Applications and Methods
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    • 제30권3호
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    • pp.245-258
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    • 2023
  • This study proposes a modification to the objective function of the support vector machine for the linearly non-separable case of a binary classifier yi ∈ {-1, 1}. The modification takes into account the position of each data item xi from its corresponding class centroid. The resulting optimization function involves the centroid mean vector, and the spread of data besides the support vectors, which should be minimized by the choice of hyper-plane β. Theoretical assumptions have been tested to derive an optimal separable hyperplane that yields the minimal misclassification rate. The proposed method has been evaluated using simulation studies and real-life COVID-19 patient outcome hospitalization data. Results show that the proposed method performs better than the classical linear SVM classifier as the sample size increases and is preferred in the presence of correlations among predictors as well as among extreme values.

통신 네트워크의 정보보호를 위한 공개키 다항식 암호시스템 (The Public Key Polynomial Cryptosystem for Data Security in Communication Networks)

  • 양태규
    • 정보학연구
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    • 제6권4호
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    • pp.59-68
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    • 2003
  • 본 논문에서는 컴퓨터 통신 네트워크의 정보보호를 위해 다항식의 인수분해의 어려움이 있는 공개키 다항식 배낭 암호시스템과 공개키 다항식 지수 암호시스템을 제안하였다. 먼저, 제안된 공개키 다항식 배낭 암호시스템에서 공개키는 2개의 다항식 B(x,y,z)와 f(x,y,z)로 하고, 비밀키는 초증가성 벡터로 한다. 암호문의 해독은 f(x,y,z)=0의 근, 그리고 비밀키 벡터의 초증가성을 사용하여 평문이 구해진다. 여기서 3변수 다항식 f(x,y,z)=0의 인수분해의 어려움 때문에 안전성을 갖는 암호시스템으로 된다. 또한 제안된 공개키 다항식 지수 암호시스템에서는 소인수분해의 어려움에 기초를 둔 기존 방법의 안전성에, 2개의 다항식 f(x,y,z)=g(x,y,z)=0을 인수분해 하여 동시에 만족하는 근을 구하는 어려움을 더함으로써 보다 더 안전성 있는 공개키 암호시스템으로 된다. 제안된 공개키 다항식 암호시스템의 타당성을 컴퓨터 시뮬레이션을 통하여 입증하였다.

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가변 블록 벡터양자화를 이용한 의용영상 데타터 압축 (Medical Image Data Compression Using a Variable Block Size Vector Quantization)

  • 박종규;정회룡
    • 대한의용생체공학회:의공학회지
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    • 제10권2호
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    • pp.173-178
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    • 1989
  • A vector quantization technique using a variable block size was applied to image compression of digitized X -ray films. Whether the size of VQ block should be subdivided or not is determined experimentally by the threshold value. The simulation result shows that the performance of the proposed vector quantizer is suitable for the medical image coding, which is applicable to PACS( Picture Archiving and Communication System).

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A STRONG SOLUTION FOR THE WEAK TYPE II GENERALIZED VECTOR QUASI-EQUILIBRIUM PROBLEMS

  • Kim, Won-Kyu;Kum, Sang-Ho
    • 대한수학회보
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    • 제43권3호
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    • pp.599-610
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    • 2006
  • The aim of this paper is to give an existence theorem for a strong solution of generalized vector quasi-equilibrium problems of the weak type II due to Hou et al. using the equilibrium existence theorem for 1-person game, and as an application, we shall give a generalized quasivariational inequality.