• Title/Summary/Keyword: Reliability Value

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Improvement of the repeatability and reproducibility of the meridian impedance measurement system MIR-2 (경락노선상 임피던스 측정기(MIR-2)의 측정신뢰도 개선방안 연구)

  • Yin, Chang-Shik;Lee, Hye-Jung;Kim, Jong-Yeol;Lee, Woo-Cheol
    • Korean Journal of Acupuncture
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    • v.24 no.4
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    • pp.55-67
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    • 2007
  • Objectives : The repeatability and reproducibility of MIR-2, a newly developed impedance measurement device (four electrode method) on skin are of the meridian system, is evaluated and a method to improve the reliability is discussed. Methods : Multiple gage R&R studies were conducted for the impedance measurements over bilateral KI3 acupoint in ten participants by three assessors using MIR-2 device. Gage R&R studies were repeated after controlling the acupoint locating method or one value correction by replacing one assessor's outlying value with an average of the other assessors' values to explore any feasibility of improvement of measurement reliability. Results : Controlling acupoint locating method and replacing one value with an average of other assessors' value led to improved variation metrics in a gage R&R study. Conclusions : Measurement reliability can be improved by controlling measurement procedures or by using repeated measurement method, which will facilitate development of clinically applicable measurement device with reliability.

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A Study on Reliability Analysis According to the Number of Training Data and the Number of Training (훈련 데이터 개수와 훈련 횟수에 따른 과도학습과 신뢰도 분석에 대한 연구)

  • Kim, Sung Hyeock;Oh, Sang Jin;Yoon, Geun Young;Kim, Wan
    • Korean Journal of Artificial Intelligence
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    • v.5 no.1
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    • pp.29-37
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    • 2017
  • The range of problems that can be handled by the activation of big data and the development of hardware has been rapidly expanded and machine learning such as deep learning has become a very versatile technology. In this paper, mnist data set is used as experimental data, and the Cross Entropy function is used as a loss model for evaluating the efficiency of machine learning, and the value of the loss function in the steepest descent method is We applied the Gradient Descent Optimize algorithm to minimize and updated weight and bias via backpropagation. In this way we analyze optimal reliability value corresponding to the number of exercises and optimal reliability value without overfitting. And comparing the overfitting time according to the number of data changes based on the number of training times, when the training frequency was 1110 times, we obtained the result of 92%, which is the optimal reliability value without overfitting.

Systems Engineering approach to Reliability Centered Maintenance of Containment Spray Pump (시스템즈 엔지니어링 기법을 이용한 격납용기 살수펌프의 신뢰기반 정비기법 도입 연구)

  • Ohaga, Eric Owino;Lee, Yong-Kwan;Jung, Jae Cheon
    • Journal of the Korean Society of Systems Engineering
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    • v.9 no.1
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    • pp.65-84
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    • 2013
  • This paper introduces a systems engineering approach to reliability centered maintenance to address some of the weaknesses. Reliability centered maintenance is a systematic, disciplined process that produces an efficient equipment management strategy to reduce the probability of failure [1]. The study identifies the need for RCM, requirements analysis, design for RCM implementation. Value modeling is used to evaluate the value measures of RCM. The system boundary for the study has been selected as containment spray pump and its motor drive. Failure Mode and Criticality Effects analysis is applied to evaluate the failure modes while the logic tree diagram used to determine the optimum maintenance strategy. It is concluded that condition based maintenance tasks should be enhanced to reduce component degradation and thus improve reliability and availability of the component. It is recommended to apply time directed tasks to age related failures and failure finding tasks to hidden failures.

Computing and Reducing Transient Error Propagation in Registers

  • Yan, Jun;Zhang, Wei
    • Journal of Computing Science and Engineering
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    • v.5 no.2
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    • pp.121-130
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    • 2011
  • Recent research indicates that transient errors will increasingly become a critical concern in microprocessor design. As embedded processors are widely used in reliability-critical or noisy environments, it is necessary to develop cost-effective fault-tolerant techniques to protect processors against transient errors. The register file is one of the critical components that can significantly affect microprocessor system reliability, since registers are typically accessed very frequently, and transient errors in registers can be easily propagated to functional units or the memory system, leading to silent data error (SDC) or system crash. This paper focuses on investigating the impact of register file soft errors on system reliability and developing cost-effective techniques to improve the register file immunity to soft errors. This paper proposes the register vulnerability factor (RVF) concept to characterize the probability that register transient errors can escape the register file and thus potentially affect system reliability. We propose an approach to compute the RVF based on register access patterns. In this paper, we also propose two compiler-directed techniques and a hybrid approach to improve register file reliability cost-effectively by lowering the RVF value. Our experiments indicate that on average, RVF can be reduced to 9.1% and 9.5% by the hyperblock-based instruction re-scheduling and the reliability-oriented register assignment respectively, which can potentially lower the reliability cost significantly, without sacrificing the register value integrity.

Reliability-based assessment of damaged concrete buildings

  • Sakka, Zafer I.;Assakkaf, Ibrahim A.;Qazweeni, Jamal S.
    • Structural Engineering and Mechanics
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    • v.65 no.6
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    • pp.751-760
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    • 2018
  • Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.

A Vtub-Shaped Hazard Rate Function with Applications to System Safety

  • Pham, Hoang
    • International Journal of Reliability and Applications
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    • v.3 no.1
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    • pp.1-16
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    • 2002
  • In reliability engineering, the bathtub-shaped hazard rates play an important role in survival analysis and many other applications as well. For the bathtub-shaped, initially the hazard rate decreases from a relatively high value due to manufacturing defects or infant mortality to a relatively stable middle useful life value and then slowly increases with the onset of old age or wear out. In this paper, we present a new two-parameter lifetime distribution function, called the Loglog distribution, with Vtub-shaped hazard rate function. We illustrate the usefulness of the new Vtub-shaped hazard rate function by evaluating the reliability of several helicopter parts based on the data obtained in the maintenance malfunction information reporting system database collected from October 1995 to September 1999. We develop the S-Plus add-in software tool, called Reliability and Safety Assessment (RSA), to calculate reliability measures include mean time to failure, mean residual function, and confidence Intervals of the two helicopter critical parts. We use the mean squared error to compare relative goodness of fit test of the distribution models include normal, lognormal, and Weibull within the two data sets. This research indicates that the result of the new Vtub-shaped hazard rate function is worth the extra function-complexity for a better relative fit. More application in broader validation of this conclusion is needed using other data sets for reliability modeling in a general industrial setting.

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A Study on the Property Analysis of Software Reliability Model with Shape Parameter Change of Finite Fault NHPP Erlang Distribution (유한고장 NHPP 어랑분포의 형상모수 변화에 따른 소프트웨어 신뢰성 모형의 속성 분석에 관한 연구)

  • Min, Kyung Il
    • Journal of Information Technology Applications and Management
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    • v.25 no.4
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    • pp.115-122
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    • 2018
  • Software reliability has the greatest impact on computer system reliability and software quality. For this software reliability analysis, In this study, we compare and analyze the trends of the properties affecting the reliability according to the shape parameters of Erlang distribution based on the finite fault NHPP. Software failure time data were used to analyze software failure phenomena, the maximum likelihood estimation method was used for parameter estimation. As a result, it can be seen that the intensity function is effective because it shows a tendency to decrease with time when the shape parameters a = 1 and a = 3. However, the pattern of the mean value function showed an underestimation pattern for the true values when the shape parameters a = 1 and a = 2, but it was found to be more efficient when a = 3 because the error width from the true value was small. Also, in the reliability evaluation of the future mission time, the stable and high trend was shown when the shape parameters a = 1 and a = 3, but on the contrary, when a = 2, the reliability decreased with the failure time. Through this study, the property of finite fault NHPP Erlang model according to the change of shape parameter without existing research case was newly analyzed, and new research information that software developers can use as basic guideline was presented.

Effect of Service Quality and Consumption Value of Outdoor Products on Purchase Intention - Focus on Consumers in 40's - 50's Consumers (아웃도어 제품의 서비스 품질과 소비가치가 구매의도에 미치는 영향 - 40 - 50대의 소비자 중심으로)

  • Lee, Kil-Ku
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.413-422
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    • 2019
  • The purpose of this study is to analyze the purchase intention of outdoor products for 40s - 50s consumers The factors influencing the purchase intention are various factors, but the service quality and the consumption value are analyzed from an exploratory viewpoint. The quality of service was set as detailed, tangibles, responsiveness, and reliability. Consumption value was set as functional value, rare value, and conditional value. As a result, tangibles, responsiveness, and reliability of the service quality, the functional value influences the purchase intention, but the rare value and the conditional value of the consumption value indicate the purchasing intention. The result of this analysis shows that service quality is a very important factor for consumers' purchase intention in 40's - 50's consumers, but consumption value is not very important factor in purchase intention.

RELIABILITY ANALYSIS OF THE MSC SYSTEM

  • Kim, Young-Soo;Lee, Do-Kyoung;Lee, Chang-Ho;Woo, Sun-Hee
    • Journal of Astronomy and Space Sciences
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    • v.20 no.3
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    • pp.217-226
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    • 2003
  • MSC (Multi-Spectral Camera) is the payload of KOMPSAT-2, which is being developed for earth imaging in optical and near-infrared region. The design of the MSC is completed and its reliability has been assessed from part level to the MSC system level. The reliability was analyzed in worst case and the analysis results showed that the value complies the required value of 0.9. In this paper, a calculation method of reliability for the MSC system is described, and assessment result is presented and discussed.

Comparison of Static Reliability Models on Stability Analysis of Armor of Rubble-Mound Breakwaters (경사제 피복재의 안정성 해석에 대한 정적 신뢰성 모형의 비교)

  • Kim, Sung-Ho;Lee, Cheol-Eung
    • Journal of Industrial Technology
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    • v.24 no.A
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    • pp.205-214
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    • 2004
  • Static reliability models are introduced to analyze the armor stability of rubble-mound breakwaters. Contrasted to the deterministic model, reliability models can estimate the probability of failure directly and calculate the influence of each design variables quantitatively. Thus, it can be possible to design armor units of the rubble-mound breakwaters rationally. In this study FMA(First-order Mean-value Approach), FDA(First-order Design-value Approach) and AFDA(Approximate Full Distribution Approach) of Level II approach of static reliability methods are used to analyze the armor stability of rubble mound breakwaters. The limitations and applications of each approach are studied straight-forwardly.

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