• Title/Summary/Keyword: d-vector

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Prototype Development for Optimization Technique of 3D Visualization of Atmospheric Environmental Information (기상 및 대기질 정보의 3차원 표출 최적화를 위한 시제품 개발 연구)

  • Kim, Gunwoo;Na, Hana;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.28 no.11
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    • pp.1047-1059
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    • 2019
  • To address the increase of weather hazards and the emergence of new types of such hazards, an optimization technique for three-dimensional (3D) representation of meteorological facts and atmospheric information was examined in this study as a novel method for weather analysis. The proposed system is termed as "meteorological and air quality information visualization engine" (MAIVE), and it can support several file formats and can implement high-resolution 3D terrain by employing a 30 m resolution digital elevation model. In this study, latest 3D representation techniques such as wind vector fields, contour maps, stream vector, stream line flow along the wind field and 3D volume rendering were applied. Implementation of the examples demonstrates that the results of numerical modeling are well reflected, and new representation techniques can facilitate the observation of meteorological factors and atmospheric information from different perspectives.

The Efficient Vehicle Recognition Algorithm using Support Vector Machines (Support Vector Machines를 이용한 효율적인 차량 인식 알고리즘)

  • 황원준;송명철;고한석
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.327-330
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    • 2000
  • In this paper, we describe an intelligent method to detect types of vehicles using Support Vector Machines focused to the Intelligent Transportation System (ITS) applications such as in the CCD based Electronic Toll Collection System (ETCS). This algorithm can be used the various fields of ITS applications. Support Vector Machines employed in this paper has been recently proposed as a very effective method for 3D image recognition. And our proposed feature extraction method using the singluar values that directly come from pixels at input images. Consequently, The low calculation load and the high recognition rate in spite of image rotation and various noises are one of merits of proposed method.

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Servo Drive of Induction Motor Using Space Voltage Vector PWM Current Control Method (공간전압벡터 PWM 전류제어방식에 의한 유도전동기 서보운전)

  • Seo, Young-Soo;Sung, Dae-Yong;Ha, Jung-Wook;Cha, Kwang-Hun;Kim, Young-Chun
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.467-469
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    • 1996
  • In this paper, the voltage equation of the stationary reference frame was reduced in squirrelcage induction motor using vector control algorithm, and changed that of the d-q synchronously rotating reference frame, so the torque equation was reached, and propose vector control algorithm for speed control. Also the real time control was possibled using DSP(TMS320C31) to experiment system which show high accuracy speed response characteristics by liner current control using space voltage vector PWM method.

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A Simple Algorithm for Fast Codebook Search in Image Vector Quantization (벡터 양자화에서 벡터의 특성을 이용한 단축 탐색방법)

  • Koh, Jong-Seog;Kim, Jae-Kyoon;Kim, Seong-Dae
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1434-1437
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    • 1987
  • We present a very simple algorithm for reducing the encoding (codebook search) complexity of vector quantization (VQ), exploiting some features of a vector currently being encoded. A proposed VQ of 16 (=$4{\times}4$) vector dimension and 256 codewords shows a slight performance degradation of about 0.1-0.9 dB, however, with only 16 or 32 among 256 codeword searches, i.e., with just 1/16 or 1/8 search complexity compared to a full-search VQ. And the proposed VQ scheme is also compared to and shown to be a bit superior to tree-search VQ with regard to their SNR performance and memory requirement.

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Gaze Direction Estimation Method Using Support Vector Machines (SVMs) (Support Vector Machines을 이용한 시선 방향 추정방법)

  • Liu, Jing;Woo, Kyung-Haeng;Choi, Won-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.379-384
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    • 2009
  • A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.

Line of Sight Vector Estimation using UWB for Augmented Reality Based Indoor Location Monitoring System

  • Chun, Sebum;Seo, Jae-Hee;Lee, Sangwoo;Heo, Moon-Beom
    • Journal of Positioning, Navigation, and Timing
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    • v.5 no.3
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    • pp.145-156
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    • 2016
  • A variety of methods for indoor positioning systems have been underway to ensure the safety of emergency rescuers who are working in dangerous situations such as fire fighters. However, since most systems display locations of rescue workers in two-dimension (2D)-based maps, it is difficult for a commander located in the outside to recognize locations of rescuers inside the building intuitively. An augmented reality (AR)-based indoor positioning monitoring system can display locations of rescuer inside the building that can be seen by commanders to help intuitive recognition of positioning. To monitor AR-based indoor positioning, it is necessary to have an estimation technique of line of sight vector of observers. In the present study, an estimation technique of a line of sight vector using ultra-wide band tranceiver installed inside the indoor to trace locations is presented.

Face Recognition using the Feature Space and the Image Vector (세그멘테이션에 의한 특징공간과 영상벡터를 이용한 얼굴인식)

  • 김선종
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.7
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    • pp.821-826
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    • 1999
  • This paper proposes a face recognition method using feature spaces and image vectors in the image plane. We obtain the 2-D feature space using the self-organizing map which has two inputs from the axis of the given image. The image vector consists of its weights and the average gray levels in the feature space. Also, we can reconstruct an normalized face by using the image vector having no connection with the size of the given face image. In the proposed method, each face is recognized with the best match of the feature spaces and the maximum match of the normally retrieval face images, respectively. For enhancing recognition rates, our method combines the two recognition methods by the feature spaces and the retrieval images. Simulations are conducted on the ORL(Olivetti Research laboratory) images of 40 persons, in which each person has 10 facial images, and the result shows 100% recognition and 14.5% rejection rates for the 20$\times$20 feature sizes and the 24$\times$28 retrieval image size.

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Rotor Time Constant Compensation of Vector Controlled Induction Motor Using Stator Current and Flux Error (고정자 전류와 자속의 오차를 이용한 벡터제어 유도전동기의 회전자 시정수 보상)

  • 김우현;박철우;임성운;권우현
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.5
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    • pp.367-375
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    • 2000
  • It is proposed that the rotor time constant and inductance are compensated at the same time in the indirect vector control method of an induction motor. The proposed scheme compensates the rotor time constant using the difference between the Q-axis real stator current and estimated current that is calculated from the terminal voltage and current, and compensates inductance by using the difference between the D-axis real stator flux and estimated stator flux in the synchronous rotating reference frame. Although the rotor time constant and inductance vary at once, the proposed method compensates the rotor time constant and inductance with accuracy. In addition to, two variables can be compensated not only at the steady state condition, but also at the transient state, where the torque varies in a rectangular pulse waveform. Therefore, the performance of vector control is greatly improved as verified by experiment.

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Generalized Vector Control with Reactive Power Control for Brushless Doubly-Fed Induction Machines

  • Duan, Qiwei;Liu, Shi;Schlaberg, H. Inaki;Long, Teng
    • Journal of Power Electronics
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    • v.18 no.3
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    • pp.817-825
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    • 2018
  • In this paper, a current hysteresis control with good decoupling properties for doubly-fed brushless induction machines (BDFIMs) has been proposed based on a generalized vector model. The independent control of the reactive power and speed for BDFIMs has been achieved by controlling the d-axis and the q-axis current of the control windings (CW). The proposed vector control method has been developed for the power winding (PW) flux frame. Experimental verification of a type Y180M-4 BDFIM prototype with 1/4 pole-pairs has been presented. Evidence of its good performance has been shown through experimental results.

Auto-Detection of Stator Winding Fault of Small Induction Motor using LabVIEW (LabVIEW를 이용한 소형 유도전동기의 권선고장 자동진단)

  • Song, Myung-Hyun;Park, Kyu-Nam;Han, Dong-Gi;Woo, Hyeok-Jae
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.55 no.4
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    • pp.202-206
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    • 2006
  • In this paper, an auto detection method of stator winding fault of small induction motor is suggested. The Park's vector pattern which is obtained from 3-phase current signal by d-q transforming, is very good to detect winding fault. Comparing the Park's vector pattern of testing motor with its of healthy motor, the Park's vector pattern of fault motor is became an ellipse and the asymmetry is increased by the winding fault series. So for detecting the dis-symmetry, id-filtered function, Min-value, and Max-value are suggested for auto detecting. Using LabVIEW programing, 3-phase healthy motor and several kind of winding fault motors are tested and the test results are shown that the suggested method can gives us a possibility of an auto detecting winding fault.