• 제목/요약/키워드: identity-vector

검색결과 97건 처리시간 0.028초

TRILINEAR FORMS AND THE SPACE OF COMTRANS ALGEBRAS

  • IM, BOKHEE;SMITH, JONATHAN D.H.
    • 호남수학학술지
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    • 제27권4호
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    • pp.595-602
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    • 2005
  • Comtrans algebras are modules equipped with two trilinear operations: a left alternative commutator and a translator satisfying the Jacobi identity, the commutator and translator being connected by the so-called comtrans identity. These identities have analogues for trilinear forms. On a given vector space, the set of all comtrans algebra structures itself forms a vector space. In this paper, the dimension of the space of comtrans algebra structures on a finite-dimensional vector space is determined.

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PLDA 모델 적응과 데이터 증강을 이용한 짧은 발화 화자검증 (Short utterance speaker verification using PLDA model adaptation and data augmentation)

  • 윤성욱;권오욱
    • 말소리와 음성과학
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    • 제9권2호
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    • pp.85-94
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    • 2017
  • Conventional speaker verification systems using time delay neural network, identity vector and probabilistic linear discriminant analysis (TDNN-Ivector-PLDA) are known to be very effective for verifying long-duration speech utterances. However, when test utterances are of short duration, duration mismatch between enrollment and test utterances significantly degrades the performance of TDNN-Ivector-PLDA systems. To compensate for the I-vector mismatch between long and short utterances, this paper proposes to use probabilistic linear discriminant analysis (PLDA) model adaptation with augmented data. A PLDA model is trained on vast amount of speech data, most of which have long duration. Then, the PLDA model is adapted with the I-vectors obtained from short-utterance data which are augmented by using vocal tract length perturbation (VTLP). In computer experiments using the NIST SRE 2008 database, the proposed method is shown to achieve significantly better performance than the conventional TDNN-Ivector-PLDA systems when there exists duration mismatch between enrollment and test utterances.

Identifying Mobile Owner based on Authorship Attribution using WhatsApp Conversation

  • Almezaini, Badr Mohammd;Khan, Muhammad Asif
    • International Journal of Computer Science & Network Security
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    • 제21권7호
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    • pp.317-323
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    • 2021
  • Social media is increasingly becoming a part of our daily life for communicating each other. There are various tools and applications for communication and therefore, identity theft is a common issue among users of such application. A new style of identity theft occurs when cybercriminals break into WhatsApp account, pretend as real friends and demand money or blackmail emotionally. In order to prevent from such issues, data mining can be used for text classification (TC) in analysis authorship attribution (AA) to recognize original sender of the message. Arabic is one of the most spoken languages around the world with different variants. In this research, we built a machine learning model for mining and analyzing the Arabic messages to identify the author of the messages in Saudi dialect. Many points would be addressed regarding authorship attribution mining and analysis: collect Arabic messages in the Saudi dialect, filtration of the messages' tokens. The classification would use a cross-validation technique and different machine-learning algorithms (Naïve Baye, Support Vector Machine). Results of average accuracy for Naïve Baye and Support Vector Machine have been presented and suggestions for future work have been presented.

가버 특징 벡터 조명 PCA 모델 기반 강인한 얼굴 인식 (Robust Face Recognition based on Gabor Feature Vector illumination PCA Model)

  • 설태인;김상훈;정선태;조성원
    • 전자공학회논문지SC
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    • 제45권6호
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    • pp.67-76
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    • 2008
  • 성공적인 상업화를 위해서는 다양한 조명 환경에서 신뢰성 있는 얼굴 인식이 필요하다. 특징 벡터 기반 얼굴 인식에서 특징 벡터를 잘 선택하는 것은 중요하다. 가버 특징 벡터는 다른 특징 벡터보다도 상대적으로 방향, 자세, 조명 등의 영향을 덜 받는 것으로 잘 알려져 있어 얼굴 인식의 특징 벡터로 많이 이용된다. 그러나 조명의 영향에 대해 완전히 독립적이지 못하다. 본 논문에서는 얼굴 이미지의 가버 특징 벡터에 대한 조명 PCA 모델의 구성을 제안하고 이를 이용하여 조명에 독립적인 얼굴 고유의 특성을 나타내는 가버 특징 벡터만을 분리해내고 이를 이용한 얼굴 인식 방법을 제시한다. 가버 특징 벡터 조명 PCA 모델은 가버 특징 벡터공간을 조명 영향 부분공간과 얼굴 고유특성 부분공간의 직교 분해로 구성한다. 얼굴 고유특성 부분공간으로 투영하여 얻어진 가버 특징 벡터는 조명 영향을 분리해 내었기 때문에 이를 이용한 얼굴 인식은 조명에 보다 강인하게 된다. 실험을 통해서 가버 특징 벡터 조명 PCA 모델을 이용한 제안된 얼굴 인식 방식이 다양한 자세에서 조명에 대해 보다 신뢰성 있게 동작함을 확인하였다.

SEQUENCES IN THE RANGE OF A VECTOR MEASURE

  • Song, Hi Ja
    • Korean Journal of Mathematics
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    • 제15권1호
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    • pp.13-26
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    • 2007
  • We prove that every strong null sequence in a Banach space X lies inside the range of a vector measure of bounded variation if and only if the condition $\mathcal{N}_1(X,{\ell}_1)={\Pi}_1(X,{\ell}_1)$ holds. We also prove that for $1{\leq}p<{\infty}$ every strong ${\ell}_p$ sequence in a Banach space X lies inside the range of an X-valued measure of bounded variation if and only if the identity operator of the dual Banach space $X^*$ is ($p^{\prime}$,1)-summing, where $p^{\prime}$ is the conjugate exponent of $p$. Finally we prove that a Banach space X has the property that any sequence lying in the range of an X-valued measure actually lies in the range of a vector measure of bounded variation if and only if the condition ${\Pi}_1(X,{\ell}_1)={\Pi}_2(X,{\ell}_1)$ holds.

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Molecular characterization of a repetitive element of Xanthomonas oryzae pv. oryzae

  • Yun, Choong-Hyo
    • 한국식물병리학회:학술대회논문집
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    • 한국식물병리학회 1995년도 Proceedings of special lectures on Molecular Biological Approaches to Plant Disease National Agricultural Science and Technology Institute Suwon, Korea
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    • pp.1-19
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    • 1995
  • The plasmid pJEL 101 contains a highly repetitive element from the genome of Xanthomonas oryae pv. oryzae that has properties of an insertional element. The insertional nature of the element, hereto referred to as IS203, was confirmed by molecular analyses of the element and three related elements that were isolated from X. oryzae. The related sequences were isolated on the basis of transposition to the transposon-trapping vector pL3SAC and hybridization with pJEL101. The trapped elements (IS203a, IS203b, and IS203c) were each composed of 1,055 base pairs with 25 base terminal inverted repeats. The elements caused a three base pair target site duplication at the site of insertion in the sacRB gene. The sequence of pJEL 101 has 96% base pair identity with IS203a and 99% identity with IS203a and IS203c but lacks three nucleotides of the consensus left terminal repeat. IS203b has the same DNA sequences as IS203c but is inserted ito the sacRB gene in the opposite orientation. The longest open reading frame of IS203a could code for a protein of 318 amino acids and molecular weight of 37, 151. A search of the Genbank database revealed that IS203 has 51% identity with 909 nucleotides of IS4551 from Escherichia coli. The predicted protein of ORF1 has 40% and 30% amino acid identity to the ORF1 of Tn4551 and the transposase of IS30, respectively.

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잡음이 존재하는 채널에서 이용되는 분류 벡터 양자화 코드북의 인덱스할당기법 (Optimization of CVQ codebook index for noisy channels)

  • 한종기;김진욱
    • 한국통신학회논문지
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    • 제28권3C호
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    • pp.315-326
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    • 2003
  • 본 논문은 분류 벡터 양자화(CVQ)기법을 이용한 통신 시스템에서 채널 오류를 감소시키기 위한 인덱스벡터할당 방식을 다루고 있다. 제안된 시스템은 크게 내부 인덱스 할당방식(IIA inner index assignment)과 교차인덱스 할당방식(CIA : cross index assignment)으로 구성된다. IIA는 부(Sub)코드북 내에서 유사한 코드벡터들에 Hamming거리가 가까운 인덱스들을 할당함으로써 채널에러에 의해 발생된 화질저하를 감소시킨다. CIA는 인덱스 벡터의 클래스 정보를 나타내는 클래스 비트에 발생하는 채널 오류의 영향을 최소화할 수 있는 방법으로서 IIA에 의해 할당된 인덱스 벡터들을 수정한다. 본 논문에서 실시된 컴퓨터 모의실험은 제안된 시스템이 채널 부호화기법을 사용하지 않고도 채널 잡음을 극복할 수 있음을 보여준다.

PMSM의 위치 및 속도 센서리스 벡터제어를 위한 관측기의 설계 (Design of an Observer for Position and Speed Sensorless Vector Control of PMSM)

  • 정동화
    • 한국안전학회지
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    • 제13권1호
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    • pp.54-63
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    • 1998
  • This paper proposes a theoretical analysis of a closed loop adaptive speed control system for control the inverter driven permanent magnet synchronous motor(PMSM). This control system utilizes a mechanically sensorless state observer for the generation of all controller feedback information. The observer processes measurements of stator frame voltage and current to produce estimates of rotor position and speed and rotor frame currents. It is shown that the identity observer, when properly formulated, has the same linearized error dynamics as the extended kalman filter(EKF). Consequently, it is shown that the gains within the identity observer can be designed in a manner identical to that of the EKF. In this way, the designability of the nonlinear observer is assured, as is the optimality of its performance for small errors. A sequence of simulation are performed and they demonstrate the successful performance.

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PERMANENTS OF DOUBLY STOCHASTIC KITE MATRICES

  • Hwang, Suk-Geun;Lee, Jae-Don;Park, Hong-Sun
    • 대한수학회지
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    • 제35권2호
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    • pp.423-432
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    • 1998
  • Let p, q be integers such that 2 $\leq$ p, q $\leq$ n, and let $D_{p, q}$ denote the matrix obtained from $I_{n}$, the identity matrix of order n, by replacing each of the first p columns by an all 1's vector and by replacing each of the first two rows and each of the last q-2 rows by an all 1's vector. In this paper the permanent minimization problem over the face, determined by the matrix $D_{p, q}$, of the polytope of all n $\times$ n doubly stochastic matrices is treated.d.

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은닉 마르코프 모델을 이용한 질량 편심이 있는 회전기기의 상태진단 (Condition Monitoring Of Rotating Machine With Mass Unbalance Using Hidden Markov Model)

  • 고정민;최찬규;강토;한순우;박진호;유홍희
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 추계학술대회 논문집
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    • pp.833-834
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    • 2014
  • In recent years, a pattern recognition method has been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov model has recently been used as pattern recognition methods in various fields. In this study, a HMM method for the fault diagnosis of a mechanical system is introduced, and a rotating machine with mass unbalance is selected for fault diagnosis. Moreover, a diagnosis procedure to identity the size of a defect is proposed in this study.

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