• Title/Summary/Keyword: electronic prediction

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An Efficient Hardware Architecture of Intra Prediction and TQ/IQIT Module for H.264 Encoder

  • Suh, Ki-Bum;Park, Seong-Mo;Cho, Han-Jin
    • ETRI Journal
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    • v.27 no.5
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    • pp.511-524
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    • 2005
  • In this paper, we propose a novel hardware architecture for an intra-prediction, integer transform, quantization, inverse integer transform, inverse quantization, and mode decision module for the macroblock engine of a new video coding standard, H.264. To reduce the cycle of intra prediction, transform/quantization, and inverse quantization/inverse transform of H.264, a reduction method for cycle overhead in the case of I16MB mode is proposed. This method can process one macroblock for 927 cycles for all cases of macroblock type by processing $4{\times}4$ Hadamard transform and quantization during $16{\times}16$ prediction. This module was designed using Verilog Hardware Description Language (HDL) and operates with a 54 MHz clock using the Hynix $0.35 {\mu}m$ TLM (triple layer metal) library.

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The research of new algorithm to improve prediction accuracy of recommender system in electronic commercey

  • Kim, Sun-Ok
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.185-194
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    • 2010
  • In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.

Study on the Prediction of Fatigue Life of BGA Typed Solder Joints (BGA 형태 솔더 접합부의 피로 수명 예측에 관한 연구)

  • Kim, Seong-Keol;Kim, Joo-Young
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.17 no.1
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    • pp.137-143
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    • 2008
  • Thermal fatigue life prediction for solder joints becomes the most critical issue in present microelectronic packaging industry. And lead-free solder is quickly becoming a reality in electronic manufacturing fields. This trend requires life prediction models for new solder alloy systems. This paper describes the life prediction models for SnAgCu and SnPb solder joints, based upon non-linear finite element analysis (FEA). In case of analyses of the SnAgCu solder joints, two kinds of shapes are used. As a result, it is found that the SnAgCu solder has longer fatigue life than the SnPb solder in temperature cycling analyses.

Prediction of network security based on DS evidence theory

  • Liu, Dan
    • ETRI Journal
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    • v.42 no.5
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    • pp.799-804
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    • 2020
  • Network security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the improved DS evidence theory, and carried out a simulation experiment. The experimental results showed that the improved method could predict accurately in the case of a large conflict, and had strong anti-jamming abilities as compared with the original method. The experimental results prove the effectiveness of the improved method in the prediction of the network security situation and provide some theoretical basis for the further application of DS evidence theory.

Blind MMSE Equalization of FIR/IIR Channels Using Oversampling and Multichannel Linear Prediction

  • Chen, Fangjiong;Kwong, Sam;Kok, Chi-Wah
    • ETRI Journal
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    • v.31 no.2
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    • pp.162-172
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    • 2009
  • A linear-prediction-based blind equalization algorithm for single-input single-output (SISO) finite impulse response/infinite impulse response (FIR/IIR) channels is proposed. The new algorithm is based on second-order statistics, and it does not require channel order estimation. By oversampling the channel output, the SISO channel model is converted to a special single-input multiple-output (SIMO) model. Two forward linear predictors with consecutive prediction delays are applied to the subchannel outputs of the SIMO model. It is demonstrated that the partial parameters of the SIMO model can be estimated from the difference between the prediction errors when the length of the predictors is sufficiently large. The sufficient filter length for achieving the optimal prediction is also derived. Based on the estimated parameters, both batch and adaptive minimum-mean-square-error equalizers are developed. The performance of the proposed equalizers is evaluated by computer simulations and compared with existing algorithms.

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Internet Roundtrip Delay Prediction Using the Maximum Entropy Principle

  • Liu, Peter Xiaoping;Meng, Max Q-H;Gu, Jason
    • Journal of Communications and Networks
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    • v.5 no.1
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    • pp.65-72
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    • 2003
  • Internet roundtrip delay/time (RTT) prediction plays an important role in detecting packet losses in reliable transport protocols for traditional web applications and determining proper transmission rates in many rate-based TCP-friendly protocols for Internet-based real-time applications. The widely adopted autoregressive and moving average (ARMA) model with fixed-parameters is shown to be insufficient for all scenarios due to its intrinsic limitation that it filters out all high-frequency components of RTT dynamics. In this paper, we introduce a novel parameter-varying RTT model for Internet roundtrip time prediction based on the information theory and the maximum entropy principle (MEP). Since the coefficients of the proposed RTT model are updated dynamically, the model is adaptive and it tracks RTT dynamics rapidly. The results of our experiments show that the MEP algorithm works better than the ARMA method in both RTT prediction and RTO estimation.

A Reliability Model of Electronic Ballasts for Fluorescent Lamp (형광등용 전자식 안정기의 신뢰성 모형)

  • Jeon, Tae-Bo
    • Journal of Korean Society for Quality Management
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    • v.35 no.2
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    • pp.27-36
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    • 2007
  • A study to build a reliability model of electronic ballasts for the fluorescent lamp has been performed in this study. We selected the widely being used specification, MIL-HDBK-217 for the study. We briefly reviewed the basic concepts of the electronic ballast with the selected reliability specification. We then developed a reliability model for the ballast using MIL-HDBK-217 and predicted the reliability. We further provided some guides which should be considered in future model development.

A Reliability Model of Electronic Ballasts for the Fluorescent Lamp using MIL-HDBK-217 (MIL-HDBK-217을 이용한 형광등용 전자식 안정기의 신뢰성 모형)

  • Jeon, Tae-Bo
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.327-332
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    • 2006
  • A study to build a reliability model of electronic ballasts for the fluorescent lamp has been performed in this paper. We selected the widely being used specification, MIL-HDBK-217 for the study. We briefly reviewed the basic concepts of the electronic ballast with the selected reliability specification. We then developed a reliability model for the ballast using MIL-HDBK-217 and predicted the reliability.

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An Approach to Evaluate Reliability of Electronic Ballasts for the Fluorescent Lamp (형광등용 전자식 안정기의 신뢰성 평가를 위한 접근)

  • Jeon, Tae-Bo;Jang, Mok-Soon;Park, Chong-Yeon
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.11a
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    • pp.333-338
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    • 2006
  • A simple but practical approach to evaluate the reliability of electronic ballasts for the low wattage fluorescent lamp has been presented in this study. We briefly reviewed the basic concepts of the electronic ballast. We then proposed a simple model and evaluated the reliability of the ballast using computer simulation.

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