• Title/Summary/Keyword: Error detection

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Development of a Real-Time Error Detection System for an Electronic Jacquard

  • Huh, Jae-Yeong;Seo, Chang-Jun
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.118.3-118
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    • 2002
  • $\textbullet$ Introduction $\textbullet$ The Structure and Operation of an Electronic Jacquard $\textbullet$ Design of Real-Time Error Detection System $\textbullet$ The System Realization and Verification $\textbullet$ Conclusion

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PTP Management Node-based Time Synchronization Error Detection and Recovery System (PTP Management Node 기반 시각동기 오류 검출 및 대응 시스템)

  • Kim, Yoon Hyun;Son, Kyou Jung;Seo, Young Duk;Chang, Tae Gyu
    • Journal of IKEEE
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    • v.24 no.1
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    • pp.248-253
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    • 2020
  • This paper proposed PTP(Precision Time Protocol) management node-based time synchronization error detection and recovery system. The proposed system is to maintain the preciseness of time synchronization under time synchronization error situations on IEEE 1588-based network environment. To demonstrate the proposed time synchronization error detection and recovery system, PTP implemented EVM(Evaluation Module)-based experiments were performed. As a results of the experiments, it is shown that the proposed system effectively maintains the preciseness of time synchronization under time synchronization error situations.

Design and Implementation of e2eECC for Automotive On-Chip Bus Data Integrity (차량용 온칩 버스의 데이터 무결성을 위한 종단간 에러 정정 코드(e2eECC)의 설계 및 구현)

  • Eunbae Gil;Chan Park;Juho Kim;Joonho Chung;Joosock Lee;Seongsoo Lee
    • Journal of IKEEE
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    • v.28 no.1
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    • pp.116-122
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    • 2024
  • AMBA AHB-Lite bus is widely used in on-chip bus protocol for low-power and cost-effective SoC. However, it lacks built-in error detection and correction for end-to-end data integrity. This can lead to data corruption and system instability, particularly in harsh environments like automotive applications. To mitigate this problem, this paper proposes the application of SEC-DED (Single Error Correction-Double Error Detection) to AMBA AHB-Lite bus. It aims not only to detect errors in real-time but also to correct them, thereby enhancing end-to-end data integrity. Simulation results demonstrate real-time error detection and correction when errors occur, which bolsters end-to-end data integrity of automotive on-chip bus.

Error-Resilient Video Transmission Techniques over Unreliable Networks (비 신뢰성 네트워크에서 에러를 극복하는 비디오 전송 기법)

  • 노경택
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.3
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    • pp.50-55
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    • 2001
  • We review error resilience techniques for real-time video transport over unreliable networks. For error control on the source coding level, each decoder has to make provisions for error detection, resynchronization. and error concealment. and we review techniques suitable for that purpose. Further, techniques are discussed for intelligent processing of acknowledgment information by the coding control to adapt the source coder to the channel. We review and compare error tracking, error confinement. and reference picture selection techniques for channel-adaptive source coding. We review how feedback-based source codings are related with the precompressed video stored on a media server

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First Order Difference-Based Error Variance Estimator in Nonparametric Regression with a Single Outlier

  • Park, Chun-Gun
    • Communications for Statistical Applications and Methods
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    • v.19 no.3
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    • pp.333-344
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    • 2012
  • We consider some statistical properties of the first order difference-based error variance estimator in nonparametric regression models with a single outlier. So far under an outlier(s) such difference-based estimators has been rarely discussed. We propose the first order difference-based estimator using the leave-one-out method to detect a single outlier and simulate the outlier detection in a nonparametric regression model with the single outlier. Moreover, the outlier detection works well. The results are promising even in nonparametric regression models with many outliers using some difference based estimators.

A Study on Error Detection Algorithm of COD Measurement Machine

  • Choi, Hyun-Seok;Song, Gyu-Moon;Kim, Tae-Yoon
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.847-857
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    • 2007
  • This paper provides a statistical algorithm which detects COD (chemical oxygen demand) measurement machine error on real-time. For this we propose to use regression model fitting and check its validity against the current observations. The main idea is that the normal regression relation between COD measurement and other parameters inside the machine will be violated when the machine is out of order.

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Parallel Writing and Detection for Two Dimensional Magnetic Recording Channel

  • Zhang, Yong;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.10
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    • pp.821-826
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    • 2012
  • Two-dimensional magnetic recording (TDMR) is treated as the next generation magnetic recording method, but because of its high channel bit error rate, it is difficult to use in practices. In this paper, we introduce a new writing method that can decrease the nonlinear media error effectively, and it can also achieve 10 Tb/$in^2$ of user bit density on a magnetic recording medium with 20 Teragrains/$in^2$.

Voice-Pishing Detection Algorithm Based on Minimum Classification Error Technique (최소 분류 오차 기법을 이용한 보이스 피싱 검출 알고리즘)

  • Lee, Kye-Hwan;Chang, Joon-Hyuk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.138-142
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    • 2009
  • We propose an effective voice-phishing detection algorithm based on discriminative weight training. The detection of voice phishing is performed based on a Gaussian mixture model (GMM) incorporaiting minimum classification error (MCE) technique. Actually, the MCE technique is based on log-likelihood from the decoding parameter of the SMV(Selectable Mode Vocoder) directly extracted from the decoding process in the mobile phone. According to the experimental result, the proposed approach is found to be effective for the voice phishing detection.

격자코드 변조 시스템에서 DFE의 심볼판정 알고리즘 제안 (Symbol Detection Methods for DFEs in Trellis Coded Modulation Systems)

  • Chung, Won-Zoo
    • Journal of IKEEE
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    • v.10 no.1 s.18
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    • pp.69-74
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    • 2006
  • In this paper, we present symbol detection methods for decision feedback equalizers (DFE) in trellis coded modulation systems. The proposed symbol detectors improve symbol error rate (SER) by exploiting the coding structure of trellis coded modulation (TCM). For example, for 8-PAM signals the achieved SER with the proposed detection scheme is improved to $2{\times}10^{-5}$ from $2.5{\times}10^{-2}$ of the conventional symbol-by-symbol detector under AWGN channel at 20dB SNR. This SER improvements mitigate error propagation of DFE.and produces significant over-all SER improvement for under multipath channels (for example, from 0.26 to 0.01 and 0.005 under a severe multipath channel 20dB SNR as shown in the simulation result of this paper).

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Fault Diagnosis for Rotating Machine Using Feature Extraction and Minimum Detection Error Algorithm (특징 추출과 검출 오차 최소화 알고리듬을 이용한 회전기계의 결함 진단)

  • Chong, Ui-pil;Cho, Sang-jin;Lee, Jae-yeal
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.1 s.106
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    • pp.27-33
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    • 2006
  • Fault diagnosis and condition monitoring for rotating machines are important for efficiency and accident prevention. The process of fault diagnosis is to extract the feature of signals and to classify each state. Conventionally, fault diagnosis has been developed by combining signal processing techniques for spectral analysis and pattern recognition, however these methods are not able to diagnose correctly for certain rotating machines and some faulty phenomena. In this paper, we add a minimum detection error algorithm to the previous method to reduce detection error rate. Vibration signals of the induction motor are measured and divided into subband signals. Each subband signal is processed to obtain the RMS, standard deviation and the statistic data for constructing the feature extraction vectors. We make a study of the fault diagnosis system that the feature extraction vectors are applied to K-means clustering algorithm and minimum detection error algorithm.