• 제목/요약/키워드: Sun Vector

검색결과 674건 처리시간 0.033초

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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B형 간염 바이러스의 X단백질에 대한 특이항체의 세포 내 발현 (Expression of Intracellular Single Chain Antibody Specific to Hepatitis B Virus X Protein)

  • 진영희;김형일;박선
    • IMMUNE NETWORK
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    • 제3권1호
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    • pp.23-28
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    • 2003
  • Background: Intracellular antibody specific to hepatitis B virus X protein (HBx) might be useful for studying the role of HBx in hepatocellular carcinogenesis and HBV replication. Methods: With variable region genes for H7 monoclonal anti-HBx Ab, we constructed a vector for bacterial expression of single chain Ab (scFv) and a vector for eukaryotic cell expression of it. The expression of H7 scFv and its binding activity against HBx was examined by immunoblotting and immunofluorescence microscopy. Results: H7 scFv expressed in bacterial cells retained reactivity to HBx. We demonstrated its intracytoplasmic expression in CosM6 eukaryotic cells. Conclusion: This is the first study showing the expression of intracellular anti-HBx Ab in eukaryotic cells. H7 scFv may be a good tool to study the function of HBx in HBV infection.

POTENTIAL OF HYPERSPECTRAL DATA FOR THE CLASSIFICA TION OF VITD SOIL CLASSES

  • Kim Sun-Hwa;Ma Jung-Rim;Lee Kyu-Sung;Eo Yang-Dam;Lee Yong-Woong
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.221-224
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    • 2005
  • Hyperspectral image data have great potential to depict more detailed information on biophysical characteristics of surface materials, which are not usually available with multispectral data. This study aims to test the potential of hyperspectral data for classifying five soil classes defined by the vector product interim terrain data (VITD). In this study, we try to classify surface materials of bare soil over the study area in Korea using both hyperspectral and multispectral image data. Training and test samples for classification are selected with using VITD vector map. The spectral angle mapper (SAM) method is applied to the EO-I Hyperion data and Landsat ETM+ data, that has been radiometrically corrected and geo-rectified. Higher classification accuracy is obtained with the hyperspectral data for classifying five soil classes of gravel, evaporites, inorganic silt and sand.

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적응 백스테핑과 MRAS를 이용한 유도전동기 제어 (Induction Motor Control Using Adaptive Backstepping and MRAS)

  • 이선영;박기광;양해원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.77-78
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    • 2008
  • This paper presents to control speed of induction motors with uncertainties. We use an adaptive backstepping controller with fuzzy neural networks(FNNs) and model reference adaptive system(MRAS) at Indirect vector control method. The adaptive backstepping controller using FNNs can control speed of induction motors even we have a minimum of information. And this controller can be used to approximate most of uncertainties which are derived from unknown motor parameters, load torque such as disturbances. MRAS estimates to rotor resistance and also can find optimal flux to minimize power losses of Induction motor. Indirect vector PI current controller is used to keep rotor flux constant without measuring or estimating the rotor flux. Simulation and experiment results are verified the effectiveness of this proposed approach.

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PSCAD를 이용한 DFIG풍력발전 최대출력 풍력발전 제어방법에 관한 연구 (Simulation Study on Capturing Maximum Wind Power Control Method of DFIG based on PSCAD/EMTDC)

  • 손계도;최준호;박성준;남순열
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.1122_1123
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    • 2009
  • Doubly Fed Induction Generator (DFIG) used in variable speed constant frequency wind energy generation system can capture wind energy with the highest efficiency by using the stator flux oriented vector control method. This paper sets up a DFIG modeling of wind generation system in PSCAD/EMTDC to simulate the operational performance with wind speed variation. In order to achieve the characteristics of the maximum utilization of wind power, this paper uses the vector control technology to track largest wind power and the independent control of generator active and reactive power.

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Support Vector Machine Based Bearing Fault Diagnosis for Induction Motors Using Vibration Signals

  • Hwang, Don-Ha;Youn, Young-Woo;Sun, Jong-Ho;Choi, Kyeong-Ho;Lee, Jong-Ho;Kim, Yong-Hwa
    • Journal of Electrical Engineering and Technology
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    • 제10권4호
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    • pp.1558-1565
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    • 2015
  • In this paper, we propose a new method for detecting bearing faults using vibration signals. The proposed method is based on support vector machines (SVMs), which treat the harmonics of fault-related frequencies from vibration signals as fault indices. Using SVMs, the cross-validations are used for a training process, and a two-stage classification process is used for detecting bearing faults and their status. The proposed approach is applied to outer-race bearing fault detection in three-phase squirrel-cage induction motors. The experimental results show that the proposed method can effectively identify the bearing faults and their status, hence improving the accuracy of fault diagnosis.

ATM기 2매 검지부의 동적 해석 (Dynamic Analysis of ATM Double Bill Detector)

  • 정중기;서준호;백윤길;최연선
    • 한국소음진동공학회논문집
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    • 제16권12호
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    • pp.1208-1214
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    • 2006
  • ATM(automated-teller machine) is a machine that receives and pays money directly. The double bill detector(DBD) module of an ATM detects double bills from its thickness. In this paper, the dynamic behavior of the DBD was analyzed, which cannot be simulated correctly by a package program of SAMCEF. And the displacements of the lever was measured for various bills experimentally. The measured dynamic behaviors were analyzed kinematically using a vector equation and simulated dynamically by the derivation of equation of motion with consideration of damping and stiffness of the DBD and bills. The analysis showed that the spring constant of the system is not so influential, instead, the contact angle between the lever and bill needs to be larger than the existing DBD in order to be laster and reliable DBD.

A Cyclic Subnormal Completion of Complex Data

  • Jung, Il Bong;Li, Chunji;Park, Sun Hyun
    • Kyungpook Mathematical Journal
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    • 제54권2호
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    • pp.157-163
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    • 2014
  • For a finite subset ${\Lambda}$ of $\mathbb{N}_0{\times}\mathbb{N}_0$, where $\mathbb{N}_0$ is the set of nonnegative integers, we say that a complex data ${\gamma}_{\Lambda}:=\{{\gamma}_{ij}\}_{(ij){\in}{\Lambda}}$ in the unit disc $\mathbf{D}$ of complex numbers has a cyclic subnormal completion if there exists a Hilbert space $\mathcal{H}$ and a cyclic subnormal operator S on $\mathcal{H}$ with a unit cyclic vector $x_0{\in}\mathcal{H}$ such that ${\langle}S^{*i}S^jx_0,x_0{\rangle}={\gamma}_{ij}$ for all $i,j{\in}\mathbb{N}_0$. In this note, we obtain some sufficient conditions for a cyclic subnormal completion of ${\gamma}_{\Lambda}$, where ${\Lambda}$ is a finite subset of $\mathbb{N}_0{\times}\mathbb{N}_0$.

적응 제어 기법을 이용한 유도전동기의 속도 센서리스 벡터 제어 (Speed Sensorless Vector Control of Induction Motor Using Adaptive Control Method)

  • 김배선;한우용;이창구;김성중
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 F
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    • pp.2493-2495
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    • 1999
  • This paper deals with the speed sensorless vector control of Induction motor using speed observer based on adaptive mathod. This system is modeled by using the system level simulator, Matlab/Simulink. The model consists of SVPWM Inverter Model. Induction Motor Model and speed obsever based on adaptive method. The results show the effectiveness of Matlab/Simulink in simulation of the Induction Motor.

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클래스간의 거리를 고려한 학습법칙을 사용한 퍼지 신경회로망 모델 (Fuzzy Neural Network Model Using A Learning Rule Considering the Distances Between Classes)

  • 김용수;백용선;이세열
    • 한국지능시스템학회논문지
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    • 제16권4호
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    • pp.460-465
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    • 2006
  • 본 논문은 입력 벡터와 클래스들의 대표값들간의 유클리디안 거리들을 사용한 새로운 퍼지 학습법칙을 제안한다. 이 새로운 퍼지 학습을 supervised IAFC(Integrated Adaptive Fuzzy Clustering) 신경회로망 4에 적용하였다. 이 신경회로망은 안정성을 유지하면서도 유연성을 가지고 있다. iris 데이터를 사용하여 테스트한 결과 supervised IAFC 신경회로망 4는 오류역전파 신경회로망과 LVQ 알고리듬보다 성능이 우수하였다.