• Title/Summary/Keyword: Quality of Predictions

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Dimensional Analysis of Edge Rolling for the Prediction of the Dog-bone Shape (차원 해석을 이용한 수직압연에 대한 도그본 형상 예측)

  • Yun, D.J.;Hwang, S.M.
    • Transactions of Materials Processing
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    • v.21 no.1
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    • pp.24-29
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    • 2012
  • Precision control of the width of slabs is vital for product quality and production economy in steel rolling mills. However, the formation of so called 'dog-bone' at the edge of the slab would affect the final width during the horizontal rolling that follows. Therefore, it is essential to predict and control the dog-bone shape. In this paper, a model is derived by using a number of finite element simulations for edge rolling and a least square regression analysis. The prediction accuracy of the proposed model is examined by comparing the predictions from finite element simulation with experiment results in the literature.

Input Current Characteristics of a Three-Phase Diode Rectifier with Capacitive Filter Under Line Voltage Unbalance Condition

  • Jeong Seung-Gi;Lee Dong-Ki;Park Ki-Won
    • Proceedings of the KIPE Conference
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    • 2001.10a
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    • pp.808-815
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    • 2001
  • The three-phase diode rectifier with a capacitive filter is highly sensitive to line voltage unbalance, and may cause significantly unbalanced line currents even under slightly unbalanced voltage condition. This paper presents an analysis of this 'unbalance amplification' effect for an ideal rectifier circuit without ac-and dc-side inductors. The voltage unbalance is modeled by introducing a deviation voltage superimposed on balanced three-phase line voltages. With proper approximations, closed-form expressions for symmetrical components of the line current and current unbalance factor are derived in terms of the voltage unbalance factor, filter reactance, and load current. The validity of analytical predictions is confirmed by simulation.

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Two-phase Pressure Drop in a Horizontal Rectangular Microchannel (수평 사각 마이크로채널 내에서의 2상 유동 압력강하)

  • Huh, Cheol;Kim, Moo-Hwan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.11 s.254
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    • pp.1035-1042
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    • 2006
  • An experimental investigation was performed to study two-phase pressure drop of deionized water in a microchannel. Measurement and evaluation of two-phase frictional pressure gradient were carried out using a single horizontal rectangular microchanne1 having a hydraulic diameter of $100{\mu}m$. Tests were performed for mass fluxes of 90, 169, and 267 $kg/m^2$s and heat fluxes of 200-700 $kW/m^2$. Test results showed that the measured two-phase frictional pressure gradient increased with the mass flux and vapor quality. Most macro-channel correlations of two-phase frictional pressure gradient did not provide reliable predictions except under certain limited conditions.

Flow Boiling Heat Transfer in a Horizontal Rectangular Microchannel (수평 사각 마이크로채널 내에서의 유동 비등 열전달)

  • Huh, Cheol;Kim, Moo-Hwan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.11 s.254
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    • pp.1043-1050
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    • 2006
  • An experimental investigation was performed to study flow boiling heat transfer of deionized water in a microchannel. Measurement and evaluation of boiling heat transfer coefficients were carried out using a single horizontal rectangular microchannel having a hydraulic diameter of $100{\mu}m$. Tests were performed for mass fluxes of 90, 169 and 267 $kg/m^2$s and heat fluxes of 200-700 $kW/m^2$. Test results showed that the measured boiling heat transfer coefficients had no dependence on mass flux and vapor quality. Most macro-channel correlations of boiling heat transfer coefficient did not provide reliable predictions.

An Efficient Scheduling Scheme based on Fuzzy Prediction for IEEE 802.11e WLAN (IEEE 802.11e WLAN을 위한 효율적인 퍼지 예측 기반 스케줄링 방법)

  • Heo, Jong-Man;Lee, Kam-Rok;Kim, Nam-Hun;Kwon, Wook-Hyun
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.1045-1046
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    • 2006
  • The IEEE 802.11e medium access control (MAC) is an emerging standard to support Quality of Service (QoS). A HCCA (HCF controlled channel access) scheduler of the standard IEEE 802.11e is only efficient for flows with strict constant bit rate (CBR) characteristics. In this paper, we propose a new HCCA scheduling scheme that aims to be efficient for both CBR and VBR flows. The proposed scheme uses fuzzy queue length predictions to tune its time allocation to stations. We present a set of simulations and provide performance comparisons with the reference HCCA scheduler.

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Evaporation Heat Transfer Characteristics of R-22, R-134a in Small Diameter Tubes (세관내 R-22, R-134a의 증발 전열 특성에 관한 연구)

  • 홍진우;박승준;오종택;오후규
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.12 no.12
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    • pp.1081-1089
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    • 2000
  • Evaporating heat transfer coefficients of R-22 and R-134a were measured in smooth horizontal copper tubes with inner diameters of 1.77, 3.36 and 5.35mm, respectively. The experiments were conducted in a closed loop, which was driven by a magnetic gear pump. Experiments were performed for the following range of variables: mass velocity (200 to 400 kg/$m^2$.s), saturation temperature($0^{circ}C,; 5^{\circ}C$) and quality(0 to 1.0). Main results obtained are as follows: evaporating heat transfer coefficients in the small diameter tubes (ID<7mm) were observed to be strongly affected by various diameters and to differ from those in the large diameter tubers. The heat transfer coefficients of the small diameter tubes were higher than those of the large diameter tubs. And it was very difficult to apply some well-known previous predictions (Shah`s, Gungor-Winterton`s and Kandlikar`s correlation) to small diameter tubes.

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ESTIMATING THE NUMBER OF ICU PATIENTS OF COVID-19 BY USING A SIMPLE MATHEMATICAL MODEL

  • Hyojung Lee;Giphil Cho
    • East Asian mathematical journal
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    • v.40 no.1
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    • pp.119-125
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    • 2024
  • Predicting the number of ICU patients holds significant importance, serving as a critical aspect in efficiently allocating resources, ensuring high-quality care for critically ill individuals, and implementing effective public health strategies to mitigate the impact of diseases. This research focuses on estimating ICU patient numbers through the development of a simple mathematical model. Utilizing data on confirmed COVID-19 cases and deaths, this model becomes a valuable tool for predicting and managing ICU resource requirements during the ongoing pandemic. By incorporating historical data on infected individuals and fatalities from previous weeks, we establish a straightforward equation. We found the substantial impact of the delay in infected individuals, particularly those occurring more than five weeks earlier, on the accuracy of ICU predictions. Proactively preparing for potential surges in severe cases becomes feasible by forecasting the demand for intensive care beds, ultimately improving patient outcomes and preventing excessive strain on medical facilities.

Indoor and outdoor pullout tests for retrofit anchors in low strength concrete

  • Cavunt, Derya;Cavunt, Yavuz S.;Ilki, Alper
    • Computers and Concrete
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    • v.18 no.5
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    • pp.951-968
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    • 2016
  • In this study, pullout capacities of post-installed deformed bars anchored in low strength concrete using different bonding materials are investigated experimentally. The experimental study was conducted under outdoor and indoor conditions; on the beams of an actual reinforced concrete building and on concrete bases constructed at Istanbul Technical University (ITU). Ready-mixed cement based anchorage mortar with modified polymers (M1), ordinary cement with modified polymer admixture (M2), and epoxy based anchorage mortar with two components (E) were used as bonding material. Furthermore, test results are compared with the predictions of current analytical models. Findings of the study showed that properly designed cement based mortars can be efficiently used for anchoring deformed bars in low quality concrete. It is important to note that the cost of cement based mortar is much lower with respect to conventional epoxy based anchorage materials.

ANN-XGB based predictions of dissolved oxygen (ANN-XGB를 이용한 수중 산소 농도 예측)

  • Jo, Gwanghyun;Lee, Keun Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.457-458
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    • 2022
  • The dissolved oxygen (DO) is one of the factors of ecosystem that affects survival of aquatic life. Artificial neural network - XGboost (ANN-XGB), which was trained by water quality and weather data obtained at Anyang-streamto, was employed to forecast DO after 1 hours. We document the perforamnce of ANN-XGB.

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The Analysis of the Supercomputer Trends in Weather and Climate Research Areas (기상 및 기후 연구 분야의 슈퍼컴퓨터 보유 추이 분석)

  • Joh, Minsu;Park, Hyei-Sun
    • Atmosphere
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    • v.15 no.2
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    • pp.119-127
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    • 2005
  • It is challenging work to predict weather and climate conditions of the future in advance. Since ENIAC was developed, weather and climate research areas have been taking advantage of the improvements in computer hardware. High performance computers allows researchers to build high quality models that allow them to make good predictions of what might happen in the future. Statistics on the high performance computers are one of the major interest to not only manufacturers but also the users such as weather and climate researchers. For this reason, the Top500 Supercomputer Sites Report has been being released twice a year since 1993 to provide a reliable basis for tracking and detecting trends in high performance computing. Using the Top500 Report, a short review on the supercomputer trends in weather and climate research areas is provided in this article.