• 제목/요약/키워드: propagation of error data

검색결과 257건 처리시간 0.03초

Improving the Error Back-Propagation Algorithm for Imbalanced Data Sets

  • Oh, Sang-Hoon
    • International Journal of Contents
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    • 제8권2호
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    • pp.7-12
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    • 2012
  • Imbalanced data sets are difficult to be classified since most classifiers are developed based on the assumption that class distributions are well-balanced. In order to improve the error back-propagation algorithm for the classification of imbalanced data sets, a new error function is proposed. The error function controls weight-updating with regards to the classes in which the training samples are. This has the effect that samples in the minority class have a greater chance to be classified but samples in the majority class have a less chance to be classified. The proposed method is compared with the two-phase, threshold-moving, and target node methods through simulations in a mammography data set and the proposed method attains the best results.

Development of XML Web Service for Load Flow by Using XML Dataset DB (XML DataSet DB를 연동한 조류계산용 XML Web Service의 개발)

  • 최장흠;김건중
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • 제52권10호
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    • pp.571-576
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    • 2003
  • XML Web Service based on internet can cause problems on transmission speed and data error. Also system analysis results simulated by several different research groups can hardly have reliability because of error data that come from improperly managed files. In order to solve this problems, algorithm sever using XML Web Service is shared on the internet so widely that various application programs based on basic analysis module with a united IO can be developed. And also XML Dataset DB is interacted with XML Web Service, which prevents propagation of error data. It causes to improve reliabilityon the load flow analysis result and solve the problems on data error or transmission speed that can possibly come from internet.

An Equalization Technique of Dual-Feedback Structure in ATSC DTV Receivers (ATSC DTV 수신기를 위한 이중 후방필터 구조의 결정 궤환 등화기)

  • Oh, Young-Ho;Kim, Dae-Jin
    • Journal of Broadcast Engineering
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    • 제10권4호통권29호
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    • pp.540-547
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    • 2005
  • In the DFE(Decision Feedback Equalizer) for ATSC DTV receivers, there are decision errors in the slicer or. the simplified trellis decoder, and these decided false data comes to the feedback filter to make the error propagation phenomenon. The error propagation degrades the equalizer performance by increasing residual errors as well as slowing down the convergence rate. In this paper we propose a dual-feedback equalization structure. There are two feedback filters. One is the decision feedback filter which uses the simplified trellis decoder output data, the other is non-decision feedback filter which uses the equalizer output data. The additional non-decision feedback filter doesn't introduce the error propagation, so it can compensate the error propagation. The proposed structure accelerates the convergence rate as well as reduces output men-square error(MSE). We analyzed the performance enhancement of DTV receiver using dual-feedback equalization structure.

Layer based Cooperative Relaying Algorithm for Scalable Video Transmission over Wireless Video Sensor Networks (무선 비디오 센서 네트워크에서 스케일러블 비디오 전송을 위한 계층 기반 협업 중계 알고리즘*)

  • Ha, Hojin
    • Journal of Korea Society of Digital Industry and Information Management
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    • 제18권4호
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    • pp.13-21
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    • 2022
  • Recently, in wireless video sensor networks(WVSN), various schemes for efficient video data transmission have been studied. In this paper, a layer based cooperative relaying(LCR) algorithm is proposed for minimizing scalable video transmission distortion from packet loss in WVSN. The proposed LCR algorithm consists of two modules. In the first step, a parameter based error propagation metric is proposed to predict the effect of each scalable layer on video quality degradation at low complexity. In the second step, a layer-based cooperative relay algorithm is proposed to minimize distortion due to packet loss using the proposed error propagation metric and channel information of the video sensor node and relay node. In the experiment, the proposed algorithm showed that the improvement of peak signal-to-noise ratio (PSNR) in various channel environments, compared to the previous algorithm(Energy based Cooperative Relaying, ECR) without considering the metric of error propagation.The proposed LCR algorithm minimizes video quality degradation from packet loss using both the channel information of relaying node and the amount of layer based error propagation in scalable video.

A Study on Transitivity and Composability of Trust in Social Network (소셜네트워크에서 신뢰의 전이성과 결합성에 관한 연구)

  • Song, Hee-Seok
    • Journal of Information Technology Applications and Management
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    • 제18권4호
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    • pp.41-53
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    • 2011
  • Trust prediction between users in social network based on the trust propagation assumes properties of transitivity and composability of trust propagation. But it has been hard to find studies which test on how those properties have been operated in real social network. This study aims to validate if the longer the distance of trust paths and the less the numbers of trust paths, the higher prediction error occurs using two real social network data set. As a result, the longer the distance of trust paths, we can find higher prediction error when predicting level of trust between source and target users. But we can not find decreasing trend of prediction error though the possible number of trust paths between source and target users increases.

Advanced Error Tracking Algorithm for H.263 (H.263에 적합한 개선된 에러 트래킹 알고리즘)

  • Hyo-seok Lee;Soo-Mok Jung
    • Journal of the Korea Computer Industry Society
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    • 제5권1호
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    • pp.123-130
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    • 2004
  • In this paper, an advanced error tracking algorithm by using feedback channel was proposed for error resilient transmission. Using this proposed algorithm, the propagation of errors were reduced within the decoded data over bit error prone network. The addresses of corrupted blocks are reported to encoder by decoder. With negative acknowledgments of feedback channel, the encoder can precisely calculate negative acknowledgments and track the propagated errors by examining the backward motion dependency for proper pixel in the current encoding frame. The error-propagation effects can be terminated completely by INTRA refreshing the affected macro-blocks by using proposed error tracking algorithm. By utilizing the selective four-corner error tracking approximation, the error tracking computations of the proposed algorithm is less than that of the algorithm using full pixel without substantial degradation in video quality. The proposed algorithm can track errors rapidly and accurately.

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Prediction of Monthly Transition of the Composition Stock Price Index Using Error Back-propagation Method (신경회로망을 이용한 종합주가지수의 변화율 예측)

  • Roh, Jong-Lae;Lee, Jong-Ho
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.896-899
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    • 1991
  • This paper presents the neural network method to predict the Korea composition stock price index. The error back-propagation method is used to train the multi-layer perceptron network. Ten of the various economic indices of the past 7 Nears are used as train data and the monthly transition of the composition stock price index is represented by five output neurons. Test results of this method using the data of the last 18 months are very encouraging.

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A Study Of Handwritten Digit Recognition By Neural Network Trained With The Back-Propagation Algorithm Using Generalized Delta Rule (신경망 회로를 이용한 필기체 숫자 인식에 관할 연구)

  • Lee, Kye-Han;Chung, Chin-Hyun
    • Proceedings of the KIEE Conference
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.2932-2934
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    • 1999
  • In this paper, a scheme for recognition of handwritten digits using a multilayer neural network trained with the back-propagation algorithm using generalized delta rule is proposed. The neural network is trained with hand written digit data of different writers and different styles. One of the purpose of the work with neural networks is the minimization of the mean square error(MSE) between actual output and desired one. The back-propagation algorithm is an efficient and very classical method. The back-propagation algorithm for training the weights in a multilayer net uses the steepest descent minimization procedure and the sigmoid threshold function. As an error rate is reduced, recognition rate is improved. Therefore we propose a method that is reduced an error rate.

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Learning of multi-layer perceptrons with 8-bit data precision (8비트 데이타 정밀도를 가지는 다층퍼셉트론의 역전파 학습 알고리즘)

  • 오상훈;송윤선
    • Journal of the Korean Institute of Telematics and Electronics B
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    • 제33B권4호
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    • pp.209-216
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    • 1996
  • In this paper, we propose a learning method of multi-layer perceptrons (MLPs) with 8-bit data precision. The suggested method uses the cross-entropy cost function to remove the slope term of error signal in output layer. To decrease the possibility of overflows, we use 16-bit weighted sum results into the 8-bit data with appropriate range. In the forwared propagation, the range for bit-conversion is determined using the saturation property of sigmoid function. In the backwared propagation, the range for bit-conversion is derived using the probability density function of back-propagated signal. In a simulation study to classify hadwritten digits in the CEDAR database, our method shows similar generalization performance to the error back-propagation learning with 16-bit precision.

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A STUDY ON THE RADIO PROPAGATION IN THE KOREAN IONOSPHERE (한반도 전리층에서의 전파 전파연구)

  • 배석희;최규홍;육재림;김홍익;민경욱
    • Journal of Astronomy and Space Sciences
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    • 제9권1호
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    • pp.69-88
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    • 1992
  • The effects of the ionosphere on the radio wave propagation are scattering of radio waves, attenuation, angle error, ranging error, and time delay. If ionospheric conditions are suitable, the charged particles can remove energy from radio waves and thus attenuate the signal. Also, a radio wave traveling a path along which the electron density is not constant undergoes changes in direction, positon and time of propagation. The present study is based on Korean ionospheric data obtained at the AnYang Radio Research Institute from Jan. 1985 through Oct. 1989. The data are used to simulate the Korean ionosphere following the Chapman law. The effects of the model ionosphere on the radio wave propagation, such as the angle, position error, time delay, and the attenuation, are studied for the various cases of the wave frequency and the altitude.

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