• 제목/요약/키워드: partial parity

검색결과 19건 처리시간 0.03초

플래시 저장 시스템의 Full Stripe Parity를 위한 메타데이터 로그 관리 방법 (Metadata Log Management for Full Stripe Parity in Flash Storage Systems)

  • 임승호
    • 한국정보기술학회논문지
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    • 제17권11호
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    • pp.17-26
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    • 2019
  • 플래시 스토리지 장치의 신뢰성을 향상시키기 위해서 사용되는 기술 중의 하나가 RAID-5 기술이 있다. RAID-5에는 고유한 패리티 업데이트 오버헤드가 있는데, 특히 부분 스트라이프 쓰기에 대한 패리티 오버헤드는 플래시 기반 RAID-5 기술의 중요한 문제 중 하나이다. 본 논문에서는 RAID-5에서 발생하는 런타임 부분 패리티 오버헤드를 제거하기 위해 효율적인 패리티 로그 아키텍처를 설계하였다. 런타임 동안, 전체 스트라이프 쓰기가 완료될 때까지 부분 패리티가 버퍼 메모리에 유지되며, 스트라이프 쓰기가 완료될 때 패리티는 전체 스트라이프 쓰기로 기록된다. 페리티 로그는 전체 스트라이프 그룹이 데이터 쓰기에 사용될 때까지 메모리에서 유지된다. 이 패리티 로그를 사용하면 갑작스러운 전력 손실로부터 부분 패리티를 복구할 수 있으므로 데이터 손실에도 문제가 발생하지 않는다. 패리티 로그 방법은 작은 패리티 로그 양으로 부분 패리티 쓰기 오버헤드를 제거할 수 있으므로, 같은 신뢰성 수준에서 쓰기 오버헤드를 줄일 수 있다.

잔차입력 RBF 신경망을 사용한 냉방기 고장검출 알고리즘 (The Fault Detection of an Air-Conditioning System by Using a Residual Input RBF Neural Network)

  • 한도영;류병진
    • 설비공학논문집
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    • 제17권8호
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    • pp.780-788
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    • 2005
  • Two different types of algorithms were developed and applied to detect the partial faults of a multi-type air conditioning system. Partial faults include the compressor valve leakage, the refrigerant pipe partial blockage, the condenser fouling, and the evaporator fouling. The first algorithm was developed by using mathematical models and parity relations, and the second algorithm was developed by using mathematical models and a RBF neural network. Test results showed that the second algorithm was better than the first algorithm in detecting various partial faults of the system. Therefore, the algorithm developed by using mathematical models and a RBF neural network may be used for the detection of partial faults of an air-conditioning system.

DVB-S2 IRA Code를 위한 최적 부호화 방법 (Efficient Partial Parallel Encoders for IRA Codes in DVB-S2)

  • 황승오;이재용
    • 한국통신학회논문지
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    • 제35권11C호
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    • pp.901-906
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    • 2010
  • 겔러거와 맥케이에 의해 처음 소개된 LDPC(Low density parity check)부호는 성능의 우수함 및 간단한 복호과정으로 많은 관심을 받아 왔으며, 특히 DVB-Satellite 2, DVB-Cable 2, DVB-Terrestrial 2 등의 차세대 방송시스템에서 널리 사용되고 있다. LDPC 부호의 성능은 충분히 긴 길이의 부호어와 iterative decoder를 사용함으로서 샤논의 한계에 거의 근접하는 성능을 보여준다. 그러나, LDPC 부호는 현재 이동통신에서 널리 사용되고 있는 Turbo 부호와 비교해서 복잡한 부호화 과정이 단점으로 지적되고 있다. 본 논문에서는 IRA 부호기를 사용하여 DVB-S2 LDPC 부호기의 성능을 향상 시킬 수 있는 방안을 제안한다.

직류전동기 구동 원심펌프-파이프 계통의 고장검출진단시스템: 등가관계 접근법 (Fault Detection and Isolation System for DC motor driven Centrifugal Pump-Pipe Systems: Parity Relation Approach)

  • 박태건;류지수;이기상
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 B
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    • pp.819-821
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    • 1998
  • This paper deals with a method or a residual generation for fault isolation in a centrifugal pump with a water circulation system, driven by a speed controlled dc motor. It is based on parity relations derived from the moving-average model of the system and is used to identify sensor faults and two possible brush and impeller faults, where the former is dealt with additive faults, while the latter characterized as discrepancies between the nominal and actual plant parameters of the system is modelled by multiplicative faults. We will represent the propagation of this uncertainty to the model matrices by the approximate handling of partial derivatives of polynomials. With multiplicative faults, the transformation matrix implemented in the residual generator are calculated on-line. The simulation studies demonstrate that small changes of the system can be detected and diagnosed by using the method.

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다중 안테나 시스템에서 부분 증분 리던던시 방식 Hybrid ARQ를 위한 결합 기법 (A Combining Scheme for Partial Incremental Redundancy based Hybrid Automatic Repeat Request in MIMO Systems)

  • 박상준
    • 대한전자공학회논문지TC
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    • 제47권11호
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    • pp.19-23
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    • 2010
  • 본 논문에서는 MIMO 시스템에서 부분 증분 리던던시 방식 Hybrid ARQ를 위한 결합 기법을 제안한다. 제안 결합 기법은 부분 증분 리던던시 방식 Hybrid ARQ에서 반복 전송되는 정보 심볼들을 위한 심볼 레벨 결합 기법이다. 본 논문에서는 제안 결합 기법이 반복 전송되는 정보 심볼들뿐 아니라 매 전송마다 새로이 전송되는 패리티 심볼들의 검출 성능 또한 향상시킴을 보인다. 모의실험 결과를 통해 제안된 결합 기법이 특히 Zero Forcing 검출 사용 시에 기존의 비트 레벨 결합 기법보다 부분 증분 리던던시 방식 Hybrid ARQ의 성능을 크게 향상시킴을 확인하였다.

산후 2주 축약형 모유수유 적응 측정도구의 구성 타당도, 신뢰도와 측정 불변성 (Breastfeeding Adaptation Scale-Short Form for mothers at 2 weeks postpartum: construct validity, reliability, and measurement invariance)

  • 김선희
    • 여성건강간호학회지
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    • 제26권4호
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    • pp.326-335
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    • 2020
  • Purpose: This study was conducted to evaluate the construct validity, reliability, measurement invariance, and latent mean differences in the Breastfeeding Adaptation Scale-Short Form (BFAS-SF) for use with mothers at 2 weeks postpartum. Methods: This methodological study was designed to evaluate the validity, reliability, and measurement invariance of the BFAS-SF at 2 weeks postpartum, with data collected from 431 breastfeeding mothers. Confirmatory factor analysis and multi-group confirmatory factor analysis were conducted to assess the factor structure and the measurement invariance across employment status, delivery mode, parity, and previous breastfeeding experience, and the latent mean differences were then examined. Results: The goodness of fit of the six-factor model at 2 weeks postpartum was acceptable. Multi-group confirmatory factor analysis supported strict invariance of the BFAS-SF across employment status and delivery mode. Full configural invariance, full metric invariance, and partial scalar invariance across parity and full configural invariance and full metric invariance across previous breastfeeding experience were supported, respectively. The results for latent mean differences suggested that mothers who were employed showed significantly higher scores for breastfeeding confidence. Mothers who had a vaginal delivery showed significantly higher scores for sufficient breast milk and baby's feeding capability. Multiparous mothers showed significantly higher scores for baby's feeding capability and baby's satisfaction with breastfeeding. Conclusion: The validity and reliability of the BFAS-SF at 2 weeks postpartum are acceptable. It can be used to compare mean scores of breastfeeding adaptation according to employment status, delivery mode, and parity.

Estimation of Daily Milk Yields from AM/PM Milking Records

  • Lee, Deukhwan;Min, Hongrip
    • Journal of Animal Science and Technology
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    • 제55권6호
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    • pp.489-500
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    • 2013
  • Daily milk yields on test days were estimated using morning or afternoon partial milk yields collected by official agencies and the accuracy of the estimates was determined. Test-day data for milk yields consisted of 3,156,734 records of AM/PM partial milking measurements of 255,437 milking Holstein cows from 3,708 farms collected from December 2008 to April 2013. A linear regression model (LRM) was applied to estimate daily milk yields using alternate AM/PM milk yield records within lactation stages, milking intervals, and parities on every daily milk yield. The alternate statistical approach was a non-linear hierarchical model (NHM) in which Brody's growth function was implemented by reflecting an animal's physiological milk production cycle. When compared with LRM, daily milk yields predicted by the NHM were assumed to be functionally related to day in milk (or lactation) stage, milking intervals, and partial milk yields. Since the results were in terms of accuracies based on comparisons of different statistical models, accuracies of estimates of daily milk yields by NHM were close to those determined by the LRM. The average of these accuracies was 0.94 for AM partial milk yields and 0.93 for PM partial milk yields for first calving cows. However, the accuracies of AM/PM milk yield estimations from cows under a calving stage higher than the first parity were 0.96 and 0.95, respectively. Correlations between the estimated daily milk yields and the actual daily milk yields ranged from 0.96~0.98. These accuracies were lower for unbalanced AM/PM milking intervals and the first calving cows. Overall, prediction of daily milk yields by NHM would be more appropriate than by LRM due to its flexibility under different milk yield-related circumstances, which provides an idea of the functional relationship between milking intervals and days in milk with daily milk yields from statistical viewpoints.

Complexity-Reduced Algorithms for LDPC Decoder for DVB-S2 Systems

  • Choi, Eun-A;Jung, Ji-Won;Kim, Nae-Soo;Oh, Deock-Gil
    • ETRI Journal
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    • 제27권5호
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    • pp.639-642
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    • 2005
  • This paper proposes two kinds of complexity-reduced algorithms for a low density parity check (LDPC) decoder. First, sequential decoding using a partial group is proposed. It has the same hardware complexity and requires a fewer number of iterations with little performance loss. The amount of performance loss can be determined by the designer, based on a tradeoff with the desired reduction in complexity. Second, an early detection method for reducing the computational complexity is proposed. Using a confidence criterion, some bit nodes and check node edges are detected early on during decoding. Once the edges are detected, no further iteration is required; thus early detection reduces the computational complexity.

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효율적인 상세 반응 기구 해석을 위한 민감도 기반의 부분 음해법 (Partial Preconditioning Approach for the Solution of Detailed Kinetics Problems Based on Sensitivity Analysis)

  • 강기하;문성영;노진현;원수희;최정열
    • 한국연소학회지
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    • 제13권1호
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    • pp.17-22
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    • 2008
  • A partly implicit/quasi-explicit method is introduced for the solution of detailed chemical kinetics with stiff source terms based on the standard fourth-order Runge-Kutta scheme. Present method solves implicitly only the stiff reaction rate equations, whereas the others explicitly. The stiff equations are selected based on the survey of the chemical Jaconian matrix and its Eigenvalues. As an application of the present method constant pressure combustion was analyzed by a detailed mechanism of hydrogen-air combustion with NOx chemistry. The sensitivity analysis reveals that only the 4 species in NOx chemistry has strong stiffness and should be solved implicitly among the 13 species. The implicit solution of the 4 species successfully predicts the entire process with same accuracy and efficiency at half the price.

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A Low-Complexity CLSIC-LMMSE-Based Multi-User Detection Algorithm for Coded MIMO Systems with High Order Modulation

  • Xu, Jin;Zhang, Kai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권4호
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    • pp.1954-1971
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    • 2017
  • In this work, first, a multiuser detection (MUD) algorithm based on component-level soft interference cancellation and linear minimum mean square error (CLSIC-LMMSE) is proposed, which can enhance the bit error ratio (BER) performance of the traditional SIC-LMMSE-based MUD by mitigating error propagation. Second, for non-binary low density parity check (NB-LDPC) coded high-order modulation systems, when the proposed algorithm is integrated with partial mapping, the receiver with iterative detection and decoding (IDD) achieves not only better BER performance but also significantly computational complexity reduction over the traditional SIC-LMMSE-based IDD scheme. Extrinsic information transfer chart (EXIT) analysis and numerical simulations are both used to support the conclusions.