• Title/Summary/Keyword: Vector Line

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Installation of MFC(Multiple FACTS Coordinated control) On-line System for the Spinning Reserve of a Reactive Power in Metropolitan Area (수도권 순동 무효전력 확보를 위한 FACTS 협조제어 시스템 온라인 설치)

  • Chang, Byung-Hoon;Moon, Seung-Pil;Ha, Yong-Gu;Jeon, Woong-Jae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.12
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    • pp.2131-2134
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    • 2010
  • In this paper, the on-line system schemes for coordinated control system of multiple FACTS were presented to enhance the voltage stability around the metropolitan areas. In order to coordinated control system of FACTS devices, MFC on-line system calculates the optimal set point(Vref, Qrev) of FACTS devices using the coordinated control algorithm with real time network data which is transferred from SCADA/EMS system. If the system is unstable after contingencies, the new operation set-point of FACTS would be determined using bus sensitivity from tangent vector at voltage instability point. Otherwise, we would determine the new operation set-point of FACTS for considering economical operation, like as active power loss minimization using Optimal Power Flow algorithm. As the test, MFC(Multiple FACTS Coordinated control) on-line system will be installed in Korea power system.

Training for Huge Data set with On Line Pruning Regression by LS-SVM

  • Kim, Dae-Hak;Shim, Joo-Yong;Oh, Kwang-Sik
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.137-141
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    • 2003
  • LS-SVM(least squares support vector machine) is a widely applicable and useful machine learning technique for classification and regression analysis. LS-SVM can be a good substitute for statistical method but computational difficulties are still remained to operate the inversion of matrix of huge data set. In modern information society, we can easily get huge data sets by on line or batch mode. For these kind of huge data sets, we suggest an on line pruning regression method by LS-SVM. With relatively small number of pruned support vectors, we can have almost same performance as regression with full data set.

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Service Oriented Architecture based Single Line Diagram Auto-drawing Technique in Distribution Automation Systems (서비스 지향적 방법론 기반의 배전선로 회선별단선도 생성 기법)

  • Lim, Seong-Il
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.26 no.7
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    • pp.23-29
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    • 2012
  • A single line diagram is a graphic user interface to represent electrical connectivity between power equipments in distribution automation systems. This paper proposes a new single line auto-drawing technique based on the service oriented architecture. Web service, CIM(Common Information Model) and SVG(Scalable Vector Graphics) are adopted to implement SOA concept. A web service demo system was established which is configured with the service provider, consumer and broker to verify the feasibility of this study.

Propagation characteristic analysis and measurement of gaussian pulse signals on the microstrip line (마이크로스트립 선로상 가우시안 펄스신호의 전파특성 해석 및 측정)

  • Rhee, Seoung-Yeop;Shin, Ho-Sub;Kim, Nam;Kwan, Weon-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.6
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    • pp.1425-1432
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    • 1998
  • The propagation properties of Gaussian pulse signals on the microstrip line are investigated by the Kirschning & Jansen's approximated equation to meet the frequency range of a pulse, accuracy, and geometrical requiremtns of the microstrip line. The dispersion of pulse signals is analyzed regarding to the relative permittivity .epsilon.$_{r}$, substrate height h and strip width w of the microstrip line. To verify theoretical results, several samples of 50.OMEGA. microstrip lines are fabricated. And the characteristics of pulse propagation along these lines are simple measured using VNA(Vector Network Analyzer) with time-domain analysis function. A fairly good agreement has been found between the measured pulse waveforms and computer simulations.

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Automatic Drawing Input by Segmentation of Text Region and Recognltion of Geometric Drawing Element (문자영역의 분리와 기하학적 도면요소의 인식에 의한 도면 자동입력)

  • 배창석;민병우
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.6
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    • pp.91-103
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    • 1994
  • As CAD systems are introduced in the filed of engineering design, the necessities for automatic drawing input are increased . In this paper, we propose a method for realizing automatic drawing input by separation of text regions and graphic regions, extraction of line vectors from graphic regions, and recognition of circular arcs and circles from line vectors. Sizes of isolated regions, on a drawing are used for separating text regions and graphic regions. Thinning and maximum allowable error method are used to extract line vectors. And geometric structures of line vectors are analyzed to recognize circular arcs and circles. By processing text regions and graphic regions separately, 30~40% of vector information can be reduced. Recognition of circular arcs and circles can increase the utilization of automatic drawing input function.

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Dynamic Voltage Compensator using Series and Shunt Inverters (직.병렬 인버터를 이용한 동적전압보상기)

  • Park, Deok-Hui;Lee, Jun-Gi;Han, Byeong-Mun;So, Yong-Cheol;Kim, Hyeon-U
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.48 no.11
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    • pp.655-662
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    • 1999
  • This paper describes controller design and simulation-model development of a dynamic voltage compensator using series and shunt inverters. The control system was designed using PI controller and vector relationship between the supply voltage and load voltage. A simulation model with EMTP was developed to analyze performance of the controller and the whole system. The simulation and experiment results confirm that the dynamic compensator can restore the load voltage under the fault of the distribution system, such as single-line-ground fault, three-line-to-ground fault, and line-to-line fault.

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Region Growing Segmentation with Directional Features

  • Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.26 no.6
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    • pp.731-740
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    • 2010
  • A region merging technique is suggested in this paper for the segmentation of high-spatial resolution imagery. It employs a region growing scheme based on the region adjacency graph (RAG). The proposed algorithm uses directional neighbor-line average feature vectors to improve the quality of segmentation. The feature vector consists of 9 components which includes an observation and 8 directional averages. Each directional average is the average of the pixel values along the neighbor line for a given neighbor line length at each direction. The merging coefficients of the segmentation process use a part of the feature components according to a given merging coefficient order. This study performed the extensive experiments using simulation data and a real high-spatial resolution data of IKONOS. The experimental results show that the new approach proposed in this study is quite effective to provide segments of high quality for the object-based analysis of high-spatial resolution images.

A 60GHz Active Phase Shifter with 65nm CMOS Switching-Amplifiers (65nm CMOS 스위칭-증폭기를 이용한 60GHz 능동위상변화기 설계)

  • Choi, Seung-Ho;Lee, Kook-Joo;Choi, Jung-Han;Kim, Moon-Il
    • Journal of IKEEE
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    • v.14 no.3
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    • pp.232-235
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    • 2010
  • A 60GHz active phase shifter with 65nm CMOS is presented by replacing passive switches in switched-line type phase shifter with active ones. Active-switch phase shifter is composed of active-switch blocks and passive delay network blocks. The active-switch phase shifter design is compact compare with the conventional vector-sum phase shifter. Active-switch blocks are designed to accomplish required input and output impedances whose requirements are different whether the switch is on or off. And passive delay network blocks are composed of lumped L,C instead of normal microstrip line to reduce the size of the circuit. An 1-bit phase shifter is fabricated by TSMC 65nm CMOS technology and measurement results present -4dB average insertion loss and 120 degree phase shift at 65GHz.

Chemosensitization of Human Ovarian Carcinoma Cells by a Recombinant Adenoviral Vector Containing L-plastin Promoter Fused to Cytosine Deaminase Transcription Unit

  • Chung, In-Jae
    • Biomolecules & Therapeutics
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    • v.13 no.3
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    • pp.143-149
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    • 2005
  • We have demonstrated previously on a replication incompetent recombinant adenoviral vector, AdLPCD, in which the expression of cytosine deaminase (CD) gene is driven by the tumor-specific L-plastin promoter. The object of this study was to evaluate the efficacy of AdLPCD together with 5-fluorocytosine (5-FC) in suppression of the growth of established human tumor cells of ovary, Consistent with the knowledge that infection of OVCAR-3 cells with AdLPCD resulted in expression of a functional intracellular CD enzyme capable of converting 5-FC to 5-fluorouracil (5-FU) (Chung and Deisseroth, 2004), statistically significant differences in cytotoxicity were observed when AdLPCD infected cells were also exposed to 5-FC for 6 days (p=0.05), 9 days (p<0.0005) and 12 days (p<0.005), compared to 5-FC exposure alone, These results indicate that the CD gene delivered by adenoviral vector could efficiently sensitize OVCAR-3, otherwise non-toxic 5-FC. On the other hand, SKOV-3 cells, an ovarian carcinoma cell line, were more resistant to the CD/5-FC strategy compared with OVCAR-3 cells under the same condition. The results of present study suggest that the replacement of 5-FU with CD/5-FC in combination chemotherapy would be less toxic and much greater cytotoxicity than the conventional combination chemotherapy in some patients.

Adaptive Intrusion Detection System Based on SVM and Clustering (SVM과 클러스터링 기반 적응형 침입탐지 시스템)

  • Lee, Han-Sung;Im, Young-Hee;Park, Joo-Young;Park, Dai-Hee
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.237-242
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    • 2003
  • In this paper, we propose a new adaptive intrusion detection algorithm based on clustering: Kernel-ART, which is composed of the on-line clustering algorithm, ART (adaptive resonance theory), combining with mercer-kernel and concept vector. Kernel-ART is not only satisfying all desirable characteristics in the context of clustering-based IDS but also alleviating drawbacks associated with the supervised learning IDS. It is able to detect various types of intrusions in real-time by means of generating clusters incrementally.