• 제목/요약/키워드: Unit Vector

검색결과 445건 처리시간 0.027초

GEOMETRIC AND APPROXIMATION PROPERTIES OF GENERALIZED SINGULAR INTEGRALS IN THE UNIT DISK

  • Anastassiou George A.;Gal Sorin G.
    • 대한수학회지
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    • 제43권2호
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    • pp.425-443
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    • 2006
  • The aim of this paper is to obtain several results in approximation by Jackson-type generalizations of complex Picard, Poisson-Cauchy and Gauss-Weierstrass singular integrals in terms of higher order moduli of smoothness. In addition, these generalized integrals preserve some sufficient conditions for starlikeness and univalence of analytic functions. Also approximation results for vector-valued functions defined on the unit disk are given.

A Design of a Mobile Graphics Accelerator based on OpenVG 1.0 API

  • Kwak, Jae-Chang;Lee, Kwang-Yeob
    • Journal of information and communication convergence engineering
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    • 제6권3호
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    • pp.289-293
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    • 2008
  • In this paper, we propose the hardware architecture to accelerate 2D Vector graphics process for mobile devices. we propose the Transformation Unit Architecture that considerates the operation dependency. It has 3 cycles excution time and uses 2 multipliers and 2 adders. Proposed paint generation unit uses a LUT method, so it does not execute color interpolation which needs to be calculated every time. The proposed OpenVG 1.0 Accelerator achieved a 2.85 times faster performance in a tiger model.

Spacecraft Precision Attitude Determination using UVF Measurements

  • Lee, Hun-Gu;Yoon, Jae-Cheol;Shin, Dong-Seok
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1881-1886
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    • 2005
  • This paper proposes a novel approach of a precision attitude determination algorithm using UVF (Unit Vector Filter) measurements. The proposed method is superior to the conventional QUEST measurements based approaches because the estimation performance can be greatly enhanced by selecting brighter stars having better noise characteristics. The performance comparison with QUEST measurements is made to verify the usefulness of the proposed algorithm.

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UNIT KILLING VECTORS AND HOMOGENEOUS GEODESICS ON SOME LIE GROUPS

  • Yi, Seunghun
    • 충청수학회지
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    • 제19권3호
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    • pp.291-297
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    • 2006
  • We find unit Killing vectors and homogeneous geodesics on the Lie group with Lie algebra $\mathbf{a}{\oplus}_p\mathbf{r}$, where $\mathbf{a}$ and $\mathbf{r}$ are abelian Lie algebra of dimension n and 1, respectively.

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CHARACTERIZATIONS OF SPACE CURVES WITH 1-TYPE DARBOUX INSTANTANEOUS ROTATION VECTOR

  • Arslan, Kadri;Kocayigit, Huseyin;Onder, Mehmet
    • 대한수학회논문집
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    • 제31권2호
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    • pp.379-388
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    • 2016
  • In this study, by using Laplace and normal Laplace operators, we give some characterizations for the Darboux instantaneous rotation vector field of the curves in the Euclidean 3-space $E^3$. Further, we give necessary and sufficient conditions for unit speed space curves to have 1-type Darboux vectors. Moreover, we obtain some characterizations of helices according to Darboux vector.

하천유역의 유사량의 비교연구 (Comparison of Sediment Yield by IUSG and Tank Model in River Basin)

  • 이영화
    • 한국환경과학회지
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    • 제18권1호
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    • pp.1-7
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    • 2009
  • In this study a sediment yield is compared by IUSG, IUSG with Kalman filter, tank model and tank model with Kalman filter separately. The IUSG is the distribution of sediment from an instantaneous burst of rainfall producing one unit of runoff. The IUSG, defined as a product of the sediment concentration distribution (SCD) and the instantaneous unit hydrograph (IUH), is known to depend on the characteristics of the effective rainfall. In the IUSG with Kalman filter, the state vector of the watershed sediment yield system is constituted by the IUSG. The initial values of the state vector are assumed as the average of the IUSG values and the initial sediment yield estimated from the average IUSG. A tank model consisting of three tanks was developed for prediction of sediment yield. The sediment yield of each tank was computed by multiplying the total sediment yield by the sediment yield coefficients; the yield was obtained by the product of the runoff of each tank and the sediment concentration in the tank. A tank model with Kalman filter is developed for prediction of sediment yield. The state vector of the system model represents the parameters of the tank model. The initial values of the state vector were estimated by trial and error.

벡터오차수정모형을 이용한 유럽 탄소배출권가격 분석 (The analysis of EU carbon trading and energy prices using vector error correction model)

  • 부기덕;정기호
    • Journal of the Korean Data and Information Science Society
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    • 제22권3호
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    • pp.401-412
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    • 2011
  • 본 연구는 벡터오차수정모형을 이용하여 유럽 탄소배출권 현물가격의 일간 시계열자료를 분석한다. 내생변수로는 탄소배출권가격 이외에 오일가격, 천연가스가격, 전력가격, 석탄가격 등 모두 5개 변수를 고려하며, 분석기간은 유럽 배출권가격의 왜곡이 발생한 제1단계 기간 (2005~2007년)을 피해 제2단계 기간 (2008년 4월 21일~2010년 3월 31일)을 대상으로 하였다. 시계열변수의 안정성 및 공적분 검정 결과, 모든 변수들이 단위근을 갖으며 또한 공적분 벡터가 존재하는 것으로 나타나서 분석모형으로서 벡터자기회귀모형 대신에 벡터오차수정모형을 채택하였다. 분석결과, (1) 오일, 천연가스, 전력 등의 가격이 배출권가격에 대해 원인으로 작용하는 그랜저인과관계가 존재하였다. (2) 충격 반응분석에서 배출권가격은 오일가격의 외생적 충격에 대해 가장 크게 반응하였고, 석탄가격의 충격에 대해서는 초기 상승 후 하락, 전력가격과 천연가스가격의 충격에 대해서는 초기 상승 후 음 (-)으로 감소하는 반응을 보였다. (3) 예측오차 분산분해 분석에서 배출권가격에 대해 가장 큰 영향을 주는 요인은 초기 (3기)에는 오일가격>석탄가격>천연가스가격>전력가격의 순이었으나 이후 (20기)에는 전력가격>오일가격>석탄가격>천연가스가격의 순으로 나타났다.

Construction of Yeast Vectors Potentially Useful for Expression of Eukaryotic Genes as ${\beta}$-galactosidase Fusion Proteins

  • Chung, Kyung-Sook;Choi, Won-Ja;Lee, Hee-Won;Kim, Kyu-Won;Yoo, Hyang-Sook
    • BMB Reports
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    • 제29권4호
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    • pp.359-364
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    • 1996
  • By both in vitro hydroxylamine mutagenesis of the wild type 3-phosphoglycerate kinase gene (PGK) promoter DNA and insertion of the leu2-d gene, we have created yeast expression vectors potentially useful for production of eukaryotic genes in yeast. The guanine (G) to adenine (A) change at the -3 position from the ATG start codon of the PGK promoter-based vector rendered a 6~7 times elevated expression of the adjacent eukaryotic gene, and insertion of the leu2-d gene in the vector containing the mutated PGK promoter further enhanced the expression of the gene. When expression of the AIDS virus HIV1-gagP17 gene in a lacZ fusion form was examined with this new vector, a 15 times higher level of expression than that from the original PGK promoter was observed. Northern and Southern analysis showed that this elevated expression is due to the production of a high copy number of mRNA by leu2-d gene functioning and by efficient translation of the produced mRNA. Thus, the vector that contained the A at the -3 position from the ATG start codon in the promoter region and the leu2-d gene shows increased expression capability and will be potentially useful for production of eukaryotic genes in yeast.

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단위 벡터를 이용한 고속 적응 계수 예측 알고리즘 (Fast Adaptive Parameter Estimation Algorithm using Unit Vector)

  • 조주필
    • 한국인터넷방송통신학회논문지
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    • 제8권3호
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    • pp.1-7
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    • 2008
  • 본 논문은 계산량이 O(N)인 새로운 형태의 QRD-LS 적응 알고리즘을 제안한다. 제안한 알고리즘의 주요 사항은 입력벡터의 단위벡터 계산이 Given Rotation 과정에서 이루어짐에 근거하고 있다. 알고리즘의 성능 평가는 FIR 시스템 식별 문제를 컴퓨터 시뮬레이션을 통하여 수행하였다. 이 알고리즘은 시뮬레이션의 결과 좋은 성능을 나타내었다. 그리고 이론적으로 평균 측면에서 알고리즘이 최적 계수 벡터에 수렴함을 보였다.

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Proper Noun Embedding Model for the Korean Dependency Parsing

  • Nam, Gyu-Hyeon;Lee, Hyun-Young;Kang, Seung-Shik
    • Journal of Multimedia Information System
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    • 제9권2호
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    • pp.93-102
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    • 2022
  • Dependency parsing is a decision problem of the syntactic relation between words in a sentence. Recently, deep learning models are used for dependency parsing based on the word representations in a continuous vector space. However, it causes a mislabeled tagging problem for the proper nouns that rarely appear in the training corpus because it is difficult to express out-of-vocabulary (OOV) words in a continuous vector space. To solve the OOV problem in dependency parsing, we explored the proper noun embedding method according to the embedding unit. Before representing words in a continuous vector space, we replace the proper nouns with a special token and train them for the contextual features by using the multi-layer bidirectional LSTM. Two models of the syllable-based and morpheme-based unit are proposed for proper noun embedding and the performance of the dependency parsing is more improved in the ensemble model than each syllable and morpheme embedding model. The experimental results showed that our ensemble model improved 1.69%p in UAS and 2.17%p in LAS than the same arc-eager approach-based Malt parser.