• Title/Summary/Keyword: Sun Vector

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Position and Speed Sensorless Vector Control of SynRM for Efficiency Optimization Control (효율 최적화 제어를 위한 SynRM의 위치 및 속도 센서리스 벡터제어)

  • Lee , Jung-Chul;Chung, Dong-Hwa
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.6
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    • pp.59-70
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    • 2002
  • This paper proposes a position and speed sensorless vector control for Synchronous Reluctance Motor(SynRM) operating at optimum efficiency and high response, in which core loss is taken into account, and discusses the performance of system. The proposed control scheme is based on the flux estimation combined stator voltage and current. In this paper, current angle condition of efficiency optimization which minimizes the copper and iron losses is derived based on the equivalent circuit model of the SynRM. The research result of closed loop position and speed control with efficiency optimization control is given to verify the proposed scheme.

Vibration based bridge scour evaluation: A data-driven method using support vector machines

  • Zhang, Zhiming;Sun, Chao;Li, Changbin;Sun, Mingxuan
    • Structural Monitoring and Maintenance
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    • v.6 no.2
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    • pp.125-145
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    • 2019
  • Bridge scour is one of the predominant causes of bridge failure. Current climate deterioration leads to increase of flooding frequency and severity and thus poses a higher risk of bridge scour failure than before. Recent studies have explored extensively the vibration-based scour monitoring technique by analyzing the structural modal properties before and after damage. However, the state-of-art of this area lacks a systematic approach with sufficient robustness and credibility for practical decision making. This paper attempts to develop a data-driven methodology for bridge scour monitoring using support vector machines. This study extracts features from the bridge dynamic responses based on a generic sensitivity study on the bridge's modal properties and selects the features that are significantly contributive to bridge scour detection. Results indicate that the proposed data-driven method can quantify the bridge scour damage with satisfactory accuracy for most cases. This paper provides an alternative methodology for bridge scour evaluation using the machine learning method. It has the potential to be practically applied for bridge safety assessment in case that scour happens.

Development of hFSH Transgenic Embryo by Gene Transfected Bovine Fetal Fibroblasts

  • Yang, Byoung-Chul;Kim, Dong-Hoon;Im, Gi-Sun;Park, Hyo-Suk;Kim, Se-Woong;Seo, Jin-Sung;Hwang, In-Sun;Yang, Bo-Suk;Chang, Won-Kyong
    • Proceedings of the KSAR Conference
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    • 2004.06a
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    • pp.220-220
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    • 2004
  • The purpose of this study was to development of transgenic cow using the nuclear transfer. To secrete hFSH in urea, the vector was constructed with UPII promoter. The fetal fibroblast cells (KbFF) were constructed from pregnant day 45 male fetus. The hFSH genes were cotransfected with pcDNA3 (neo) vector to KbFF cells by electroporation. (omitted)

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Measurement of the acoustic impedance by using beamforming method in a free-field (자유 음장에서 빔형성 방법을 이용한 음향 임피던스 측정)

  • Sun, Jong-Cheon;Shin, Chang-Woo;Baek, Sun-Gwon;Kang, Yeon-June
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.11a
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    • pp.969-974
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    • 2007
  • In this paper, a beamforming technique is introduced to measure the acoustic impedance at both normal and oblique incidence in a free field. The acoustic impedance is obtained by separating incident and reflected signals using the adaptive nulling method which is one of the various beamforming algorithms. To obtain better results, pressure vector commonly used in array signal processing is replaced with the transfer function vector between each microphone and the white Gaussian noise is suppressed by a wavelet shrinkage technique. The experiments conducted in a semi-anechoic room show that the proposed method is efficient and accurate in measuring the acoustic impedance of sound absorbing materials under a free field condition.

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Structural damage identification using incomplete static displacement measurement

  • Lu, Z.R.;Zhu, J.J.;Ou, Y.J.
    • Structural Engineering and Mechanics
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    • v.63 no.2
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    • pp.251-257
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    • 2017
  • A local damage identification method using measured structural static displacement is proposed in this study. Based on the residual force vector deduced from the static equilibrium equation, residual strain energy (RSE) is introduced, which can localize the damage in the element level. In the case of all the nodal displacements are used, the RSE can localize the true location of damage, while incomplete displacement measurements are used, some suspicious damaged elements can be found. A model updating method based on static displacement response sensitivity analysis is further utilized for accurate identification of damage location and extent. The proposed method is verified by two numerical examples. The results indicate that the proposed method is efficient for damage identification. The advantage of the proposed method is that only limited static displacement measurements are needed in the identification, thus it is easy for engineering application.

Appearance-based Robot Visual Servo via a Wavelet Neural Network

  • Zhao, Qingjie;Sun, Zengqi;Sun, Fuchun;Zhu, Jihong
    • International Journal of Control, Automation, and Systems
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    • v.6 no.4
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    • pp.607-612
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    • 2008
  • This paper proposes a robot visual servo approach based on image appearance and a wavelet function neural network. The inputs of the wavelet neural network are changes of image features or the elements of image appearance vector, and the outputs are changes of robot joint angles. Image appearance vector is calculated by using eigen subspace transform algorithm. The proposed approach does not need a priori knowledge of the robot kinematics, hand-eye geometry and camera models. The experiment results on a real robot system show that the proposed method is practical and simple.

A New Reporter Vector System Based on Flow-Cytometry to Detect Promoter Activity

  • Jung, Sun-Do;Choi, Ji-Hye;Hong, Chang-Wan;Lee, Hyun-Ji;Park, Yoon-Kyung;Shin, Jung-Hoon;Park, Jae-Won;Park, Se-Ho
    • IMMUNE NETWORK
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    • v.9 no.6
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    • pp.243-247
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    • 2009
  • In this study, we report the development of a new dual reporter vector system for the analysis of promoter activity. This system employs green fluorescence emitting protein, EGFP, as a reporter, and uses red fluorescence emitting protein, DsRed, as a transfection control in a single vector. The expression of those two proteins can be readily detected via flow cytometry in a single analysis, with no need for any further manipulation after transfection. As this system allows for the simultaneous detection of both the control and reporter proteins in the same cells, only transfected cells which express the control protein, DsRed, can be subjected to promoter activity analysis, via the gating out of all un-transfected cells. This results in a dramatic increase in the promoter activity detection sensitivity. This novel reporter vector system should prove to be a simple and efficient method for the analysis of promoter activity.

Analysis of Human Activity Using Motion Vector and GPU (움직임 벡터와 GPU를 이용한 인간 활동성 분석)

  • Kim, Sun-Woo;Choi, Yeon-Sung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.10
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    • pp.1095-1102
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    • 2014
  • In this paper, We proposed the approach of GPU and motion vector to analysis the Human activity in real-time surveillance system. The most important part, that is detect blob(human) in the foreground. We use to detect Adaptive Gaussian Mixture, Weighted subtraction image for salient motion and motion vector. And then, We use motion vector for human activity analysis. In this paper, the activities of human recognize and classified such as meta-classes like this {Active, Inactive}, {Position Moving, Fixed Moving}, {Walking, Running}. We created approximately 300 conditions for the simulation. As a result, We showed a high success rate about 86~98%. The results also showed that the high resolution experiment by the proposed GPU-based method was over 10 times faster than the cpu-based method.

In Vitro Expression of the Recombinant hFSH Gene using Retrovirus Vector System (In Vitro에서 Retrovirus Vector System을 이용한 재조합 hFSH 유전자의 발현)

  • Min, Gyeong-Heon;Kwon, Mo-Sun;Kim, Teoan;Koo, Bon-Chul
    • Reproductive and Developmental Biology
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    • v.35 no.1
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    • pp.115-121
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    • 2011
  • hFSH is a glycoprotein secreted from anterior pituitary and consists of ${\alpha}$ and ${\beta}$ subunits. Because of its major biological functions including sperm formation in the male and for follicular growth, FSH is used to cure woman's sterility. In this study we tried to produce recombinant hFSH in vitro using a retrovirus expression vector. Two major components of the vector we constructed are: ( i ) a DNA fragment containing ${\alpha}$ and ${\beta}$ genes fused by a DNA sequence coding carboxyl terminal peptide (CTP) of human chorionic gonadotropin, (ii) a DNA fragment corresponding woodchuck hepatitis virus posttranscriptional regulatory element (WPRE). Evaluation of expression profile of the recombinant FSH using reverse transcription PCR and enzyme-linked immunosorbent assay (ELISA). Among three cell lines tested, HeLa cells were the best for hFSH expression (5,395 mIU/ml), then followed by chicken embryonic fibroblast (CEF) cells and Chinese hamster ovary (CHO) cells in the order of hFSH production. In addition to the amount, the FSH produced from HeLa cells was highest in terms of biological activity which was determined by measuring cAMP.