• Title/Summary/Keyword: Continuous-Time Model

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Software Reliability for Order Statistic of Burr XII Distribution

  • Lee, Jae-Un;Yoon, Sang-Chul
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1361-1369
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    • 2008
  • The analysis of software reliability model provides the means to analysts, software engineers, and systems analysts and developers who want to predict, estimate, and measure failure rate of occurrences in software. In this paper, reliability growth model, in which the operating time between successive failure is a continuous random variable, is proposed. This model is based on order statistics of two parameters Burr type XII distribution. We propose the measure based on U-plot. Also the performance of the suggested model is tested on real data set.

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Development of Performance Measurement Model for Cloud Companies (클라우드 기업의 성과측정모형 개발)

  • Seo, Kwang-Kyu
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.3
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    • pp.39-44
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    • 2021
  • Since the recent Corona 19, the importance of cloud computing is increasing, and at the same time, competition among clouds is intensifying. Cloud companies are competing for survival by promoting various management innovation methods for continuous growth and development amid a rapidly changing business environment. They are also increasingly interested in performance management in their operations and growth. In this paper, we propose Cloud BSC, an IT BSC-based performance measurement model for cloud enterprise performance management. The validity of the proposed model is verified through statistical analysis and causal analysis. Eventually, the proposed model is expected to be utilized as a management evaluation tool that can provide useful performance analysis information to cloud companies.

Multiple Model Adaptive Estimation of the SOC of Li-ion battery for HEV/EV (다중모델추정기법을 이용한 HEV/EV용 리튬이온전지의 잔존충전용량 추정)

  • Jung, Hae-Bong;Kim, Young-Chol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.1
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    • pp.142-149
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    • 2011
  • This paper presents a new state of charge(SOC) estimation of large capacity of Li-ion battery (LIB) based on the multiple model adaptive estimation(MMAE) method. We first introduce an equivalent circuit model of LIB. The relationship between the terminal voltage and the open circuit voltage(OCV) is nonlinear and may vary depending on the changes of temperature and C-rate. In this paper, such behaviors are described as a set of multiple linear time invariant impedance models. Each model is identified at a temperature and a C-rate. These model set must be obtained a priori for a given LIB. It is shown that most of impedances can be modeled by first-order and second-order transfer functions. For the real time estimation, we transform the continuous time models into difference equations. Subsequently, we construct the model banks in the manner that each bank consists of four adjacent models. When an operating point of cell temperature and current is given, the corresponding model bank is directly determined so that it is included in the interval generated by four operating points of the model bank. The MMAE of SOC at an arbitrary operating point (T $^{\circ}C$, $I_{bat}$[A]) is performed by calculating a linear combination of voltage drops, which are obtained by four models of the selected model bank. The demonstration of the proposed method is shown through simulations using DUALFOIL.

Mechanical damage evolution and a statistical damage constitutive model for water-weak sandstone and mudstone

  • Lu yuan Wu;Fei Ding;Jian hui Li;Wei Qiao
    • Geomechanics and Engineering
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    • v.38 no.1
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    • pp.45-56
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    • 2024
  • The weakening effect of water on rocks is one of the main factors inducing deformation and failure in rock engineering. To clarify this weakening effect, immersion tests and post-immersion triaxial compression tests were conducted on sandstone and mudstone. The results showed that the strength of water-immersed sandstone decreases with increasing immersion time, exhibiting an exponential relationship. Similarly, the strength of water-immersed mudstone decreases with increasing environmental humidity, also following an exponential relationship. Subsequently, a statistical damage model for water-weakened rocks was proposed, changes in elastic modulus to describe the weakening effect of water. The model effectively simulated the stress-strain relationships of water-affected sandstone and mudstone under compression. The R2 values between the theoretical and experimental peak values ranged from 0.962 to 0.996, and the MAPE values fell between 3.589% and 9.166%, demonstrating the model's effectiveness and reliability. The damage process of water-saturated rocks corresponds to five stages: compaction stage - no damage, elastic stage - minor damage, crack development stage - rapid damage increase, post-peak residual stage - continuous damage increase, and sliding stage - damage completion. This study provides a foundational reference for researching the fracture characteristics of overlying strata during coal mining under complex hydrogeological conditions.

A Model for a Continuous State System with (s,S) Repair Policy

  • Park, Won-J.;Kim, Eui-Yong;Kim, Hong-Gie
    • Journal of the Korean Statistical Society
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    • v.25 no.1
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    • pp.111-122
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    • 1996
  • A model for a system whose state changes continuously with time is introduced. It is assumed that the system is modeled by a Brownian motion with negative drift and an absorbing barrier at the origin. A repairman arrives according to a Poisson process and repairs the system according to an (s,S) policy, i.e., he increases the state of the system up to S if and only if the state is below s. A partial differential equation is derived for the distribution function of X(t), the state of the system at time t, and the Laplace-Stieltjes transform of the distribution function is obtained by solving the partial differential equation. For the stationary case the explicit expression is deduced for the distribution function of the stationary state of the system.

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Modeling of a storage subsystem in multimedia information system

  • Lim, Cheol-Su
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.11
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    • pp.2521-2530
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    • 1997
  • In this paepr, we present a video-on-demand (VOD) system design model that address and integrates a number of inter-related issues. Then with analysis and performance evaluation, we investigate various aspects of disk and buffer managements in the given model. Based on the analysis results, we suggest that a distributed buffering scheme with intermediate buffers may te useful to transform bursty disk accesses into a continuous stream for for glitch-free performance of VOD systems. Also, through simulation, we illustrate that massive multimedia information storage design techniques such as prefetching, clustered striping, and real-time disk scheduling integrated with the distributed buffering mechanism may enhance end-to-end real-time performance of VOD systems under wide-area networks.

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Experiment for Verification of Prediction Model for see Formwork Pressure (자기충전 콘크리트의 거푸집 압력 예측 모델에 대한 검증 실험)

  • Kwon, Seung-Hee;Phung, Quoc-Tri;Kim, Jae-Hong
    • Proceedings of the Korea Concrete Institute Conference
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    • 2009.05a
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    • pp.217-218
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    • 2009
  • This experimental work is to verify the previously developed prediction model for self-consolidating concrete (SCC) formwork pressure. A new apparatus was devised to simulate formwork pressure in laboratory, and experiments were performed for one SCC mix. The predicted pressure with the calibrated parameters were compared with the pressure measured under continuous and discrete pouring. The calibrated parameters have a specific trend over loading time, and the calculated pressure accurately simulates the real pressure varying over time.

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A Stable Model Reference Adaptive Control with a Generalized Adaptive Law (일반화된 적응법칙을 사용한 안정한 기준모델 적응제어)

  • 이호진;최계근
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.8
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    • pp.1167-1177
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    • 1989
  • In this paper, a generalized adaptive law is proposed which uses a rational function type operator for parameter adjustment. To satisfy the passivity condition of the adaptation block, we introduce a constant feedback gain into the adaptation block. This adaptation scheme is applied to the model reference adaptive control of a continuous-time, linear time-invariant, minimum-phase system whose relative degree is 1. We prove the asymptotic stability of the output error of this adaptive system by hyperstability method. It is shown that by digital computer simulations this law can give a better output error transient response in some cases than the conventional gradient adaptive law. And the output error responses for the several types of the proposed adaptation law are examined in the presence of a kind of unmodeled dynamics.

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An application study for generalized predictive control in distillation column (증류탑에서의 일반형 예측제어(GPC) 응용 연구)

  • Cha, M. H.;Lo, K.;Yoon, E. S.;Yeo, Y. K.;Song, H. K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.225-228
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    • 1990
  • The major difficulty in distillation column control lies in executing the set point tracking and the disturbance rejection, because of continuous changes in model order and dead time. For that, generalized predictive control(GPC) was applied to distillation column control. Recursive least square method was used to adjust the changes of model order and dead time. Quadratic progamming(QP) was used to solve the constraint problems in control action and the rate of control action. As a result of the simulation on the dynamic simulator(SPEEDUP) and the experiment on pilot plant, the ability of the set point tracking and the disturbance rejection was acceptable to apply to the real distillation column.

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The Impregnation of Thermoplastic Resin into a Unidirectional Fiber Bundle (열가소성 수지 복합재료에서의 수지 함침)

  • Kim, Tae-Uk;Jeon, Ui-Jin;Lee, U-Il
    • 한국기계연구소 소보
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    • s.18
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    • pp.163-168
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    • 1988
  • Impregnation of molten thermoplastic resin into continuous unidirectional fiber bundles was investigated. The degree of impregnation is defined as the ratio between the number of impregnated fibers and the total number of fibers of a bundle. The degree of impregnation was modeled as a function of time, impregnation pressure, temperature and tow size assuming the radial inward flow through the fiber bundle is governed by the Darcy's law. The permeability was assumed to be constant. Experiments were performed to evaluate the validity of the medel. Today's T300 graphite fiber bundles and Polyetheretherketone(PEEK) resin was used. A fiber bundle and resin powder were put into a mold and pressure and temperature were applied. After a predetermined time, the sample was taken out and microphotographs of the cross-section were taken. From the microphotographs, the number of impregnated fibers was counted and then the degree of impregnation was determined. Experiments were also performed for different tow sizes. Good agreements were found between the model and the experiments rendering a confidence in the model.

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