• Title/Summary/Keyword: two stage method

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Performance Characteristics of a Household Refrigerator with Dual Evaporators Using Two-Stage Compression Cycle

  • Joo, Young-Ju;Kim, Young-Heon;Lee, Moo-Yeon;Yoon, Won-Jae;Kim, Yong-Chan
    • International Journal of Air-Conditioning and Refrigeration
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    • v.17 no.3
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    • pp.107-113
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    • 2009
  • The objective of this study is to investigate performance characteristics of a household refrigerator using a two-stage compression cycle. The performance of the two-stage compression cycle was measured by varying the compressor speed, condensing temperature, and evaporating temperature. The COP of the two-stage compression cycle was analyzed and then compared with that of the single-stage compression cycle. The optimum combination of compressor speeds for a low- and a high-stage was determined. The COP of the two-stage compression cycle using a PTC (parallel two-stage compression) method was 5.85% higher than that of a STC (serial two-stage compression) method at optimum operating conditions.

CONVERGENCE OF RELAXED TWO-STAGE MULTISPLITTING METHOD USING AN OUTER SPLITTING

  • Yun, Jae-Heon
    • Bulletin of the Korean Mathematical Society
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    • v.47 no.4
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    • pp.727-741
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    • 2010
  • In this paper, we study the convergence of relaxed two-stage multisplitting method using H-compatible splittings or SOR multisplitting as inner splittings and an outer splitting for solving a linear system whose coefficient matrix is an H-matrix. We also provide numerical experiments for the convergence of the relaxed two-stage multisplitting method.

Unbiased Balanced Half-Sample Variance Estimation in Stratified Two-stage Sampling

  • Kim, Kyu-Seong
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.459-469
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    • 1998
  • Balanced half sample method is a simple variance estimation method for complex sampling designs. Since it is simple and flexible, it has been widely used in large scale sample surveys. However, the usual BHS method overestimate the true variance in without replacement sampling and two-stage cluster sampling. Focusing on this point , we proposed an unbiased BHS variance estimator in a stratified two-stage cluster sampling and then described an implementation method of the proposed estimator. Finally, partially BHS design is explained as a tool of reducing the number of replications of the proposed estimator.

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CONVERGENCE OF RELAXED TWO-STAGE MULTISPLITTING METHOD USING M-SPLITTINGS OR SOR MULTISPLITTING

  • Oh, Se-Young;Yun, Jae-Heon
    • Journal of applied mathematics & informatics
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    • v.27 no.3_4
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    • pp.489-500
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    • 2009
  • In this paper, we study the convergence of relaxed two-stage multisplitting method using M-splittings or SOR multi splitting as inner splittings and an outer splitting for solving a linear system whose coefficient matrix is an M-matrix. We also provide numerical experiments for the convergence of the relaxed two-stage multisplitting method.

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Two-stage imputation method to handle missing data for categorical response variable

  • Jong-Min Kim;Kee-Jae Lee;Seung-Joo Lee
    • Communications for Statistical Applications and Methods
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    • v.30 no.6
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    • pp.577-587
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    • 2023
  • Conventional categorical data imputation techniques, such as mode imputation, often encounter issues related to overestimation. If the variable has too many categories, multinomial logistic regression imputation method may be impossible due to computational limitations. To rectify these limitations, we propose a two-stage imputation method. During the first stage, we utilize the Boruta variable selection method on the complete dataset to identify significant variables for the target categorical variable. Then, in the second stage, we use the important variables for the target categorical variable for logistic regression to impute missing data in binary variables, polytomous regression to impute missing data in categorical variables, and predictive mean matching to impute missing data in quantitative variables. Through analysis of both asymmetric and non-normal simulated and real data, we demonstrate that the two-stage imputation method outperforms imputation methods lacking variable selection, as evidenced by accuracy measures. During the analysis of real survey data, we also demonstrate that our suggested two-stage imputation method surpasses the current imputation approach in terms of accuracy.

The Cascade PID Type Fuzzy Control Method

  • Lee, Jung-Hoon;Ki whan Eom;Lee, Yong-Gu
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.93.3-93
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    • 2001
  • We propose the cascade PID type fuzzy control method for a good performance such as robustness. The one of proposed method, the first stage have two input variables of an error and a derivative error, and one output variable, and the next stage have two input variables of the output of first stage and an integral error, and one output variable, have two stages. The other, the first stage has one input of an error, and one output variable, and the second stage have two input of the output of first stage and a derivative error, and one output variable, and the third stage have two input of the output of the second stage and an integer error, and one output variable ...

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Comparative Study of the Latissimus Dorsi and Gracilis Muscle Reconstruction for Reanimation of a Paralyzed Face (안면 마비의 재건에서 광배근 유리피판과 박근 유리피판의 비교 연구)

  • Kang, Dong Hee;Lim, Chan Su;Koo, Sang Hwan;Park, Seung Ha
    • Archives of Plastic Surgery
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    • v.34 no.3
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    • pp.336-341
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    • 2007
  • Purpose: The most accepted method for the reanimation of a paralyzed face is the two-stage method that combines cross-face nerve grafting with free-muscle transfer. Although the results of reconstruction with this method are satisfactory, there is an excessive delay between the stages, which prolongs the period of rehabilitation. In order to overcome this drawback, a one- stage, neurovascular free-flap reconstruction method using free neurovascular muscle flaps is introduced. Methods: From 1994 to 2004, 35 patients with longstanding facial palsy were treated. Fifteen patients underwent the single-stage reconstruction with the latissimus dorsi muscle, and 20 patients underwent the two-stage reconstruction method with the gracilis muscle. We compared the long-term results of the two methods of reconstruction. The mean follow-up period was 28.7 months for one-stage reconstruction, and 35.2 months for the two-stage, respectively. Results: In the patient group of the single stage reconstruction, both mouth corner excursion and animation grade were markedly improved at the final postoperative visit. Moreover, the first muscle contraction occurred earlier in this group, than in the two-stage reconstruction group. However, four patients in the single stage group never achieved a first muscle contraction or mouth corner excursion. Conclusion: Facial palsy is a very challenging condition for cosmetic surgeons to deal with. Traditional methods for treatment of chronic facial palsy use a two-stage muscle flap which is time-consuming and burdensome to patients, many of whom are averse to waiting 8 to 12 months to complete the two stages. The one-stage reconstruction method described herein uses a latissimus dorsi free-flap and has demonstrated consistent positive outcomes in clinical assessments.

CONVERGENCE OF THE GENERALIZED MULTISPLITTING AND TWO-STAGE MULTISPLITTING METHODS

  • Oh, Se-Young;Yun, Jae-Heon;Han, Yu-Du
    • Journal of applied mathematics & informatics
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    • v.26 no.3_4
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    • pp.501-510
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    • 2008
  • In this paper, we first provide a convergence result of the generalized two-stage splitting method for solving a linear system whose coefficient matrix is an H-matrix, and then we provide convergence results of the generalized multisplitting and two-stage multisplitting methods for both a monotone matrix and an H-matrix.

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Two-Stage Template Matching Using Integral Projection (가상 투영법을 사용한 Two-Stage Template Matching)

  • Kim, Geun Hyung;Park, Rae Hong
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.24 no.2
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    • pp.324-330
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    • 1987
  • The registration is an important part of image processing and pattern recognition. In this paper, the integral projection method is proposed as the first stage of the two-stage template matching. The computation time of the proposed method is one-tenth of that of the two-stage template matching technique with a sub-template. This method is applied to a noisy (real)image with a different bias level and gives a correct template position, while the two-stage template matching technique with a sub-template cannot detect correctly.

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