• Title/Summary/Keyword: single pass algorithm

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Single Pass Algorithm for Text Clustering by Encoding Documents into Tables

  • Jo, Tae-Ho
    • Journal of Korea Multimedia Society
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    • v.11 no.12
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    • pp.1749-1757
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    • 2008
  • This research proposes a modified version of single pass algorithm specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version where documents are encoded into not numerical vectors but other forms. In the proposed version, documents are mapped into tables and the operation on two tables is defined for using the single pass algorithm. The goal of this research is to improve the performance of single pass algorithm for text clustering by modifying it into the specialized version.

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Table based Single Pass Algorithm for Clustering News Articles

  • Jo, Tae-Ho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.3
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    • pp.231-237
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    • 2008
  • This research proposes a modified version of single pass algorithm specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version where documents are encoded into not numerical vectors but other forms. In the proposed version, documents are mapped into tables and the operation on two tables is defined for using the single pass algorithm. The goal of this research is to improve the performance of single pass algorithm for text clustering by modifying it into the specialized version.

Behavior of an Automatic Pacemaker Sensing Algorithm for Single-Pass VDD Atrial Electrograms (Single-Pass VDD 심파를 위한 자동화된 심장 박동기 탈분극파 검출 알고리즘의 효용성)

  • Kim, Jung-Kuk;Lee, Seung-Han;Huh, Woong
    • Journal of IKEEE
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    • v.5 no.2 s.9
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    • pp.182-189
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    • 2001
  • Single-pass VDD pacemakers have been used as a result of simple implantation procedures and generally reliable atrial tracking that ensures an A-V sequence pacing. However, there is a controversy over their reliabilities of atrial tracking. As a new sensing method for reliable atrial tracking, a simple automatic pacemaker sensing algorithm was implemented and evaluated to validate its benefits in sensing depolarization waves of Single-pass VDD atrial electrograms. The automatic sensing algorithm had a predetermined sensing dynamic range and the sensitivity level was controlled as 50% of the average of two most recently sensed intrinsic amplitudes. The behavior of the automatic sensing algorithm in the Single-pass VDD atrial electrograms was analyzed and characterized. It was observed that the automatic sensing algorithm was more effective than a conventional fixed threshold method to accurately detect and track p-waves in Single-pass VDD electrograms.

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IMAGE COLLECTION PLANNING ALGORITHM FOR SINGLE PASS STEREO IMAGING

  • Kang, Chi-Ho;Ahn, Sang-II;Cheon, Yee-Jin
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.255-258
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    • 2008
  • The DEM (Digital Elevation Model) can be obtained from stereo image pair acquired by LEO satellite. Stereo images may consist of at least two images with different viewing angles to the imaging target for one pass or multiple passes. While each image is generally acquired from each pass in cross-track direction for multiple passes, stereo image pair in along-track direction can be acquired during one pass with attitude control capability for the pitch axis of the satellite. Single pass stereo imaging provides stereo pair image more efficiently on the fact that stereo pair image is generated with less orbit resources and less imaging time consumption. In this paper, the feasibility study result on the stereo pair image collection planning algorithm during single pass is addressed.

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Modified RCC MPPT Method for Single-stage Single-phase Grid-connected PV Inverters

  • Boonmee, Chaiyant;Kumsuwan, Yuttana
    • Journal of Power Electronics
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    • v.17 no.5
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    • pp.1338-1348
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    • 2017
  • In this study, a modified ripple correlation control (RCC) maximum-power point-tracking (MPPT) algorithm is proposed for a single-stage single-phase voltage source inverter (VSI) on a grid-connected photovoltaic system (GCPVS). Unlike classic RCC methods, the proposed algorithm does not require high-pass and low-pass filters or the increment of the AC component filter function in the voltage control loop. A simple arithmetic mean function is used to calculate the average value of the photovoltaic (PV) voltage, PV power, and PV voltage ripples for the MPPT of the RCC method. Furthermore, a high-accuracy and high-precision MPPT is achieved. The performance of the proposed algorithm for the single-stage single-phase VSI GCPVS is investigated through simulation and experimental results.

Analysis of Phase Error Effects Due to Grid Frequency Variation of SRF-PLL Based on APF

  • Seong, Ui-Seok;Hwang, Seon-Hwan
    • Journal of Power Electronics
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    • v.16 no.1
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    • pp.18-26
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    • 2016
  • This paper proposes a compensation algorithm for reducing a specific ripple component on synchronous reference frame phase locked loop (SRF-PLL) in grid-tied single-phase inverters. In general, SRF-PLL, which is based on all-pass filter to generate virtual voltage, is widely used to estimate the grid phase angle in a single-phase system. In reality, the estimated grid phase angle might be distorted because the phase difference between actual and virtual voltages is not 90 degrees. That is, the phase error is caused by the difference between cut-off frequency of all-pass filter and grid frequency under grid frequency variation. Therefore, the effects on phase angle and output current attributed to the phase error are mathematically analyzed in this paper. In addition, the proportional resonant (PR) controller is adapted to reduce the effects of phase error. The validity of the proposed algorithm is verified through several simulations and experiments.

The Multipass Joint Tracking System by Vision Sensor (비전센서를 이용한 다층 용접선 추적 시스템)

  • Lee, Jeong-Ick;Koh, Byung-Kab
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.5
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    • pp.14-23
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    • 2007
  • Welding fabrication invariantly involves three district sequential steps: preparation, actual process execution and post-weld inspection. One of the major problems in automating these steps and developing autonomous welding system is the lack of proper sensing strategies. Conventionally, machine vision is used in robotic arc welding only for the correction of pre-taught welding paths in single pass. However, in this paper, multipass tracking more than single pass tracking is performed by conventional seam tracking algorithm and developed one. And tracking performances of two algorithm are compared in multipass tracking. As the result, tracking performance in multi-pass welding shows superior conventional seam tracking algorithm to developed one.

PLL Method Using The Improved Discrete Fourier Transform (개선된 DFT를 이용한 위상 추종방법)

  • Kim, Jae-Hyung;Ji, Young-Hyok;Won, Chung-Yuen;Jung, Yong-Chae
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.91-93
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    • 2008
  • In this paper, novel phase angle following algorithm for the single phase grid-connected inverter is proposed. Gird-connected inverter needs phase angle detection for synchronization grid voltage with the inverter output. In case of single phase grid-connected inverter, zero crossing detection and virtual 2-phase PLL using digital all pass filter or digital low pass filter are used conventionally. But these methods have a weakness for harmonics, noises and ripples. The proposed method of PLL achieve DFT(Discrete Fourier Transform) using Goertzel algorithm. It can extract fundamental voltage of grid. As a results, it can obtain phase angle using digital all pass filter without effect of harmonics, noises and ripples. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.

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A New trace-driven Simulation Algorithm for Sector Cache Memories with Various Block Sizes (다양한 블럭 크기를 갖는 섹터 캐시 메모리의 Trace-driven 시뮬레이션 알고리즘)

  • Dong Gue Park
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.6
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    • pp.849-861
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    • 1995
  • In this paper, a new trace driven simulation algorithm is proposed to evaluate the bus traffic and the miss ration of the various sector cache memories, which have various sub-block sizes and block sizes and associativities and number of sets, with a single pass through an address trace. Trace-driven simulaton is usually used as a method for performance evaluation of sector cache memories, but it spends a lot of simulation time for simulating the diverse cache configurations with a long address trace. The proposed algorithm shortens the simulation time by evaluating the performance of the various sector cache configurations. which have various sub-block sizes and block sizes and associativities and number of sets , with a single pass through an address trace. Our simulation results show that the run times of the proposed simulation algorithm can be considerably reduced than those of existing simulation algorithms, when the proposed algorithm is miplemented in C language and the address traces obtained from the various sample programs are used as a input of trace-driven simulation.

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The Evaluation Measure of Text Clustering for the Variable Number of Clusters (가변적 클러스터 개수에 대한 문서군집화 평가방법)

  • Jo, Tae-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.233-237
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    • 2006
  • This study proposes an innovative measure for evaluating the performance of text clustering. In using K-means algorithm and Kohonen Networks for text clustering, the number clusters is fixed initially by configuring it as their parameter, while in using single pass algorithm for text clustering, the number of clusters is not predictable. Using labeled documents, the result of text clustering using K-means algorithm or Kohonen Network is able to be evaluated by setting the number of clusters as the number of the given target categories, mapping each cluster to a target category, and using the evaluation measures of text. But in using single pass algorithm, if the number of clusters is different from the number of target categories, such measures are useless for evaluating the result of text clustering. This study proposes an evaluation measure of text clustering based on intra-cluster similarity and inter-cluster similarity, what is called CI (Clustering Index) in this article.

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