• Title/Summary/Keyword: Division Algorithm

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Voice Activity Detection based on Adaptive Band-Partitioning using the Likelihood Ratio (우도비를 이용한 적응 밴드 분할 기반의 음성 검출기)

  • Kim, Sang-Kyun;Shim, Hyeon-Min;Lee, Sangmin
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1064-1069
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    • 2014
  • In this paper, we propose a novel approach to improve the performance of a voice activity detection(VAD) which is based on the adaptive band-partitioning with the likelihood ratio(LR). The previous method based on the adaptive band-partitioning use the weights that are derived from the variance of the spectral. In our VAD algorithm, the weights are derived from LR, and then the weights are incorporated with the entropy. The proposed algorithm discriminates the voice activity by comparing the weighted entropy with the adaptive threshold. Experimental results show that the proposed algorithm yields better results compared to the conventional VAD algorithms. Especially, the proposed algorithm shows superior improvement in non-stationary noise environments.

Vision-Based Roadway Sign Recognition

  • Jiang, Gang-Yi;Park, Tae-Young;Hong, Suk-Kyo
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.1
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    • pp.47-55
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    • 2000
  • In this paper, a vision-based roadway detection algorithm for an automated vehicle control system, based on roadway sign information on roads, is proposed. First, in order to detect roadway signs, the color scene image is enhanced under hue-invariance. Fuzzy logic is employed to simplify the enhanced color image into a binary image and the binary image is morphologically filtered. Then, an effective algorithm of locating signs based on binary rank order transform (BROT) is utilized to extract signs from the image. This algorithm performs better than those previously presented. Finally, the inner shapes of roadway signs with curving roadway direction information are recognized by neural networks. Experimental results show that the new detection algorithm is simple and robust, and performs well on real sign detection. The results also show that the neural networks used can exactly recognize the inner shapes of signs even for very noisy shapes.

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Design of inversion and division circuit over GF($2^{m}$) (유한체 $GF(2^{m})$상의 역원계산 회로 및 나눗셈 회로 설계)

  • 조용석;박상규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.5
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    • pp.1160-1164
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    • 1998
  • In this paper, we propose a new algorithm for computing multiplicative inverses in $GF(2^{m})$ and design an inversion circuit and a division circuit using this algorithm. The algorithm used is based on Fermat's theorem. It takes around m/2 clock cycles. The hardware requirements of the inversion circuit and the division circuit using this algorithm are the same as traditional circuits except for the addition of multiplexers.

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Development and Implementation of Noise-Canceling Technology for Digital Stethoscope (디지털 청진기를 위한 잡음 제거 기술 개발 및 구현)

  • Lee, Keunsang;Ji, Youna;Jeon, Youngtaek;Park, Young Chool
    • Journal of Biomedical Engineering Research
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    • v.34 no.4
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    • pp.204-211
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    • 2013
  • In this paper, an algorithm for suppressing acoustic noises contained in stethoscope sound is proposed and implemented in real-time using an embedded DSP system. Sound collected by stethoscope is down-sampled and band-pass filtered, and later an NLMS adaptive filter is used to cancel the acoustic noise induced from external noise sources. Also, the unpredictable impulsive noises due to fabric friction and instantaneous tapping are detected using the SD-ROM algorithm, and suppressed using an algorithm approximating the morphology filter. The proposed algorithm was tested using signals collected with a digital stethoscope mockup, and implemented on an ARM920T-based DSP system.

Optimization of Robot Welding Process of Subassembly Using Genetic Algorithm in the Shipbuilding (유전자 알고리즘을 이용한 조선 소조립 로봇용접공정의 최적화)

  • Park, Ju-Yong;Seo, Jeong-Jin;Kang, Hyun-Jin
    • Journal of Welding and Joining
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    • v.27 no.2
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    • pp.57-62
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    • 2009
  • This research was carried out to improve the productivity in the subassembly process of shipbuilding through optimal work planning for the shortest work time. The work time consist of welding time, moving time of gantry, teaching time of robot and robot motion time. The shortest work time is accomplished by even distribution of work and the shortest welding sequence. Even distribution of work was done by appling the simple algorithm. The shortest work sequence was determined by using GA. The optimal work planning decreased the total work time of the subassembly process by 4.1%. The result showed the effectiveness of the suggested simple algorithm for even distribution of work and GA for the shortest welding sequence.

Development of a Semi-automatic Search Program for Crown Delineation Based on Watershed and Valley Following Algorithms

  • Sim, Woodam;Park, Jeongmook;Lee, Jungsoo
    • Journal of Forest and Environmental Science
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    • v.34 no.2
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    • pp.142-144
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    • 2018
  • This paper discusses the development of semi-automatic search program for crown delineation in stand level. The crown of an individual tree was delineated by applying the Watershed (WS) and Valley Following (VF) algorithms. Unmanned Aerial Vehicle (UAV) images were used in the semi-automatic search program to delineate the crown area. The overall accuracy and Khat were used in accuracy assessment. WS algorithm's model showed the overall accuracy and Khat index of 0.80 and 0.59, respectively, in Plot 1. However, the overall accuracy and Khat of VF algorithm's model were 0.78 and 0.51, respectively, in Plot 2.

USER BASED IMAGE SEGMENTATION FOR APPLICATION TO SATELLITE IMAGE

  • Im, Hyuk-Soon;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.126-129
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    • 2008
  • In this paper, we proposed a method extracting an object from background of the satellite image. The image segmentation techniques have been widely studied for the technology to segment image and to synthesis segment object with other images. Proposed algorithm is to perform the edge detection of a selected object using genetic algorithm. We segment region of object based on detection edge using watershed algorithm. We separated background and object in indefinite region using gradual region merge from segment object. And, we make GUI for the application of the proposed algorithm to various tests. To demonstrate the effectiveness of the proposed method, several analysis on the satellite images are performed.

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Novel Adaptive De-interlacing Algorithm using Temporal Correlation

  • Ku, Su-Il;Jung, Tae-Young;Jeong, Je-Chang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.199-202
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    • 2009
  • This paper proposes a novel adaptive algorithm for deinterlacing. In the proposed algorithm, the previously developed Enhanced ELA [6], Chen [9] and Li [10] algorithms were used as a basis. The fundamental mechanism was the selection and application of the appropriate algorithm according to the correlation with the previous and next field using temporal information. Extensive simulations were conducted for video sequences and showed good performance in terms of peak signal-to-ratio (PSNR) and subjective quality.

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Robust Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors

  • Hwang, Don-Ha;Youn, Young-Woo;Sun, Jong-Ho;Kim, Yong-Hwa
    • Journal of Electrical Engineering and Technology
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    • v.9 no.1
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    • pp.37-44
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    • 2014
  • This paper proposes a new diagnosis algorithm to detect broken rotor bars (BRBs) faults in induction motors. The proposed algorithm is composed of a frequency signal dimension order (FSDO) estimator and a fault decision module. The FSDO estimator finds a number of fault-related frequencies in the stator current signature. In the fault decision module, the fault diagnostic index from the FSDO estimator is used depending on the load conditions of the induction motors. Experimental results obtained in a 75 kW three-phase squirrel-cage induction motor show that the proposed diagnosis algorithm is capable of detecting BRB faults with an accuracy that is superior to a zoom multiple signal classification (ZMUSIC) and a zoom estimation of signal parameters via rotational invariance techniques (ZESPRIT).

A POSITION TRACKING ALGORITHM WITH RADAR MEASUREMENT

  • Lim You-Chol;Ma Keun-Su;Lee Jae-Deuk
    • Bulletin of the Korean Space Science Society
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    • 2004.10b
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    • pp.332-336
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    • 2004
  • This paper describes the remote tracking algorithm using measurements (azimuth, elevation, and slant range) of the radar ground station. Kalman filter model for noise reduction of the measured information is first derived by linearizing with respect to angle, angular rate, range, and range rate. And then a tracking algorithm is introduced to calculate the position of the vehicle during in-flight. The simulation results show that the algorithm is practical and effective enough tracking position of the vehicle in considerably less error.

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