• 제목/요약/키워드: Vector Generation

검색결과 548건 처리시간 0.03초

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.

Bidding Strategy Determination by Defining Strategic Vector

  • Kang, Dong-Joo;Kim, Balho H.;Chung, Koo-Hyung;Moon, Young-Hwan
    • KIEE International Transactions on Power Engineering
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    • 제3A권1호
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    • pp.47-52
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    • 2003
  • This paper presents a schematic process based on the method of eliminating dominated strategies to obtain the optimal bidding strategy Pursuing the Nash equilibrium Point. The Proposed approach is demonstrated for a bidding game in a generation competitive market with 2-dimensional bidding strategy vectors constituting a price-quantity strategy curve.

가변 얼굴 생체템플릿 생성 방법에 대한 연구 (A Study of Generation for Changeable Face Template)

  • 정민이;김재희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.391-392
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    • 2007
  • Changeable biometries has been suggested as a solution to the problems of enhancing privacy. In this paper, we proposed changeable biometrics for face recognition using on ICA based approach. ICA coefficient vector extracted from an input face image. The vector is scrambled randomly and a new face template is generated by addition of a couple of scrambled coefficients. When a transformed template is compromised, it is replaced by a new scrambling rule and addition.

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인간 단클론 항체 생산용 Humanized Xenomouse 제작의 기초 소재인 생쥐 Ig 중사슬 및 경사슬 Genomic DNA 클론의 확보 및 유전자 적중 벡터의 제작 (Isolation of Mouse Ig Heavy and Light Chain Genomic DNA Clones, and Construction of Gene Knockout Vector for the Generation of Humanized Xenomouse)

  • 이희경;차상훈
    • IMMUNE NETWORK
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    • 제2권4호
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    • pp.233-241
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    • 2002
  • Background: Monoclonal antibodies (mAb) of rodent origin are produced with ease by hybridoma fusion technique, and have been successfully used as therapeutic reagents for humans after humanization by genetic engineering. However, utilization of these antibodies for therapeutic purpose has been limited by the fact that they act as immunogens in human body causing undesired side effects. So far, there have been several attempts to produce human mAbs for effective in vivo diagnostic or therapeutic reagents including the use of humanized xenomouse that is generated by mating knockout mice which lost Ig heavy and light chain genes by homologous recombination and transgenic mice having both human Ig heavy and light gene loci in their genome. Methods: Genomic DNA fragments of mouse Ig heavy and light chain were obtained from a mouse brain ${\lambda}$ genomic library by PCR screening and cloned into a targeting vector with ultimate goal of generating Ig knockout mouse. Results: Through PCR screening of the genomic library, three heavy chain and three light chain Ig gene fragments were identified, and restriction map of one of the heavy chain gene fragments was determined. Then heavy chain Ig gene fragments were subcloned into a targeting vector. The resulting construct was introduced into embryonic stem cells. Antibiotic selection of transfected cells is under the progress. Conclusion: Generation of xenomouse is particularly important in medical biotechnology. However, this goal is not easily achieved due to the technical difficulties as well as huge financial expenses. Although we are in the early stage of a long-term project, our results, at least, partially contribute the successful generation of humanized xenomouse in Korea.

간단한 사용자 인터페이스에 의한 벡터 그래픽 캐릭터의 자동 표정 생성 시스템 (Automatic facial expression generation system of vector graphic character by simple user interface)

  • 박태희;김재호
    • 한국멀티미디어학회논문지
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    • 제12권8호
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    • pp.1155-1163
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    • 2009
  • 본 논문에서는 가우시안 프로세스 모델을 이용한 벡터 그래픽 캐릭터의 자동 표정 생성 시스템을 제안한다. 제안한 방법은 Russell의 내적 정서 상태의 차원 모형을 근거로 재정의된 캐릭터의 26가지 표정 데이터로 부터 주요 특징 벡터를 추출한다. 그리고 추출된 고차원의 특징 벡터에 대해 SGPLVM이라는 가우시안 프로세스 모델을 이용하여 저차원 특징 벡터를 찾고, 확률분포함수(PDF)를 학습한다. 확률분포함수의 모든 파라메타는 학습된 표정 데이터의 우도를 최대화함으로써 추정할 수 있으며, 이는 2차원 공간에서 사용자가 원하는 얼굴 표정을 실시간으로 선택하기 위해 사용된다. 시뮬레이션 결과 본 논문에서 제안한 표정 생성 프로그램은 얼굴 표정의 작은 데이터셋에도 잘 동작하며, 사용자는 표정과 정서간의 관련성에 관한 사전지식이 없이도 연속되는 다양한 캐릭터의 표정을 생성할 수 있음을 확인할 수 있었다.

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A novel method to aging state recognition of viscoelastic sandwich structures

  • Qu, Jinxiu;Zhang, Zhousuo;Luo, Xue;Li, Bing;Wen, Jinpeng
    • Steel and Composite Structures
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    • 제21권6호
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    • pp.1183-1210
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    • 2016
  • Viscoelastic sandwich structures (VSSs) are widely used in mechanical equipment, but in the service process, they always suffer from aging which affect the whole performance of equipment. Therefore, aging state recognition of VSSs is significant to monitor structural state and ensure the reliability of equipment. However, non-stationary vibration response signals and weak state change characteristics make this task challenging. This paper proposes a novel method for this task based on adaptive second generation wavelet packet transform (ASGWPT) and multiwavelet support vector machine (MWSVM). For obtaining sensitive feature parameters to different structural aging states, the ASGWPT, its wavelet function can adaptively match the frequency spectrum characteristics of inspected vibration response signal, is developed to process the vibration response signals for energy feature extraction. With the aim to improve the classification performance of SVM, based on the kernel method of SVM and multiwavelet theory, multiwavelet kernel functions are constructed, and then MWSVM is developed to classify the different aging states. In order to demonstrate the effectiveness of the proposed method, different aging states of a VSS are created through the hot oxygen accelerated aging of viscoelastic material. The application results show that the proposed method can accurately and automatically recognize the different structural aging states and act as a promising approach to aging state recognition of VSSs. Furthermore, the capability of ASGWPT in processing the vibration response signals for feature extraction is validated by the comparisons with conventional second generation wavelet packet transform, and the performance of MWSVM in classifying the structural aging states is validated by the comparisons with traditional wavelet support vector machine.

NURBS를 이용한 격자생성 및 제어기법 (A STUDY ON THE NURBS GRID GENERATION AND GRID CONTROL)

  • 윤용현
    • 한국전산유체공학회지
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    • 제12권3호
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    • pp.20-28
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    • 2007
  • A fast and robust method of grid generation to multiple functions has been developed for flow analysis in three dimensional space. It is based on the Non-Uniform Rational B-Spline(NURBS) of an approximation method. Many of NURBS intrinsic properties are introduced and much more easily understood. The grid generation method, details of numerical implementation. examples of application, and potential extensions of the current method are illustrated in this paper. The object of this study is to develop the surface grid generation and the grid cluster techniques capable of resolving complex flows with shock waves, expansion waves, shear layers. The knot insert method of Non-Uniform Rational B-Spline seems well worked. In addition, NURBS has been widely utilized to generate grids in the computational fluid dynamics community. Computational examples associated with practical configurations have shown the utilization of the algorithm.

풍향과 풍속의 특징을 이용한 SVR기반 단기풍력발전량 예측 (Forecasting of Short-term Wind Power Generation Based on SVR Using Characteristics of Wind Direction and Wind Speed)

  • 김영주;정민아;손남례
    • 한국통신학회논문지
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    • 제42권5호
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    • pp.1085-1092
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    • 2017
  • 본 논문은 풍력발전예측의 정확도 개선을 위하여 바람의 특성을 반영한 풍력발전량예측 방법을 제안한다. 제안한 방법은 크게 바람의 특성을 추출하는 부분과 발전량을 예측하는 부분으로 구성된다. 바람의 특성을 추출하는 부분은 발전량, 풍향과 풍속의 상관분석을 이용한다. 풍향과 풍속의 상관관계를 근거로 K-means 방법으로 클러스터링하여 특징 벡터를 추출한다. 예측하는 부분은 임의의 실수값을 예측 할 수 있도록 SVM을 일반화 한 SVR을 이용하여 기계학습을 한다. 기계학습은 바람의 특성을 반영한 제안한 방법과 바람의 특성을 반영하지 않은 기존방법을 비교 실험하였다. 또한, 제안한 방법의 정확도와 타당성을 검증하기 위하여 장소가 상이한 제주도 풍력발전단지 3지역에서 수집된 데이터를 사용하였다. 실험결과, 제안한 방법의 오차가 일반적인 풍력발전예측 오차보다 개선되었다.

천부 탄성파 벡터자료 획득 및 분석 (Acquisition and Processing of Shallow Vector Seismic Data)

  • 홍명호;김기영;황윤구
    • 지구물리
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    • 제8권2호
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    • pp.81-87
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    • 2005
  • P, SH, SV 파를 동시에 발생시킬 수 있는 타격방법을 고안하여 3성분 지오폰으로 수신함으로써, 발생된 탄성파를 벡터형태로 획득하고 분석하는 연구를 수행하였다. 시험자료로는 94 m의 측선을 따라 2 m 간격으로 설치한 수신점에서 0.5 ms 간격으로 512 ms 동안 기록한 24채널 자료를 사용하였다. 획득한 시험자료의 수직성분에는 굴절 및 반사된 P파가 뚜렷하게 기록되어 있으며, 측선에 수직한 수평성분에는 SH파, 측선에 평행한 수평성분에는 직접 P파와 PS 변환파가 비교적 강하게 기록되었다. 동시에 획득한 수직 및 측선에 수직한 수평성분에 각각 기록된 P파 및 SH파 초동을 굴절파 토모그래피 방식으로 역산한 결과, P파 및 S파 속도 토모그램을 얻을 수 있었으며, 이 두 속도단면으로부터 동포아송비 값을 효과적으로 구할 수 있었다.

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