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Showing 441 - 460 results of 1,052 for search '(( variable friction efficient. ) OR ( variable function coefficient. ))*', query time: 0.11s Refine Results
  1. 441
  2. 442

    基于modeFRONTIER的离合器碟形弹簧多目标优化设计 by 潘金坤

    Published 2011-01-01
    “…Based on the analysis of the working characters of disc springs in clutch,the mathematical model of multi-objective optimal design of disc springs is established with unified objective function method,which regards the minimization of the disc spring volume and its average variable quantity of working compress force within the scope of friction lining wear as optimal objectives.The optimization calculation is presented by using the software modeFRONTIER.The results indicate that the relevant performance of disc springs is significantly improved after optimal design,with the objective function values reduced by 36% and 6% respectively.The software modeFRONTIER,with its simplicity and efficient algorithm,solves optimization problems and improves design efficiency.…”
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  3. 443

    Pengaruh Komite Audit Terhadap Kinerja Keuangan Perusahaan Dengan Dewan Komisaris Sebagai Variabel Intervening by Yunita Kurnia Shanti

    Published 2020-12-01
    “…This result means that the board of Commissioners variable cannot be an intervening variable of the audit committee on financial performance, because the effective supervisory function in evaluating the results of internal and external audits on the presentation of financial statements becomes the role of the audit committee.…”
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  4. 444

    Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

    Published 2025-01-01
    “…Integrating engineering design, the intelligent guidance law for antitorpedo torpedoes proposed in this article selects the rate of change in the line-of-sight angle as the state variable, designs a reward function based on interception results, and designs a discretized behavior space based on the commonly used proportional guidance coefficient selection range. …”
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  5. 445

    KERNEL DETERMINATION PROBLEM FOR ONE PARABOLIC EQUATION WITH MEMORY by Durdimurod K. Durdiev, Javlon Z. Nuriddinov

    Published 2023-12-01
    “…This paper studies the inverse problem of determining a multidimensional kernel function of an integral term which depends on the time variable \(t\) and \((n-1)\)-dimensional space variable \(x'= \left(x_1,\ldots, x_ {n-1}\right)\) in the \(n\)-dimensional diffusion equation with a time-variable coefficient at the Laplacian of a direct problem solution. …”
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  6. 446

    Three-Dimensional Modified Cross-Section Hydrofoil Design and Performance Study by Hongpeng Cao, Yudong Xie, Zilei Ji

    Published 2025-04-01
    “…To improve the hydrodynamic performance of hydrofoils, this study combines the shape characteristics of flat and elliptical wings, uses parabolic function to fit the leading and trailing edges of hydrofoils, introduces the cross-section coefficient <i>λ</i> to characterize the cross-sectional size of hydrofoils along the spreading direction, and designs five hydrofoils with different cross-sections. …”
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  7. 447
  8. 448

    Modeling of Thermal Distributions around a Barrier at the Interface of Coating and Substrate by Ali Sahin

    Published 2013-01-01
    “…Using integral transform method, two-dimensional steady-state diffusion equation with variable conductivity is turned into constant coefficient differential equation. …”
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  9. 449

    Unsteady flow and heat transfer optimization of viscous fluid with bioconvection over a rotating stretchable disk and gyrotactic motile microorganisms by Mazhar Hussain, Samya Shahid, Noreen Sher Akbar, Mohammed Kbiri Alaoui

    Published 2025-02-01
    “…The model combined energy and concentration equation of microorganisms along with modified momentum equations, considering impact of internal heat generation and nanoparticles diffusion. Impact of unsteady variable (S), disk stretching variable (α), Prandtl number (Pr), Lewis number (Le) are analyzed graphically to understand the thermal and flow behavior. …”
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  10. 450

    IRRIGATED YIELD ESTIMATION OF Populus Nigra STANDS IN NINEVEH PLANTATION by Muzahim .S. younis

    Published 2008-09-01
    “…Consequence of the use of Non-Linear function in this study, which is believed to be in harmonic with the characteristics of tree stand, twelve trees were selected which represents different location over an area planted with Populus nigra trees ,and after data analysis of variable values , three mathematical equations were obtains which link the yield per area ,a dependent variable and age ,mean height of stand quadratic mean diameter as the independent variable , in order to obtain yield table of revocable densities for Populus nigra , selecting the best model , different measures of precision , such as , coefficient of determination, standard error of estimate and residual analysis test, so following regressions selected : Y= 4.1356 G1.12355 R2= 0.9796 S.E=1.8 Y= 0.12788H2.27 R2= 0.913 S.E=3.54 Y= -0.64168+0.34744A2+0.063183Dq2.4 R2= 0.9674 S.E=2.29 Since there are good values of precision measures , so we will be able to use equations to prepare yield table at different densities of Populus nigra stands in Nineveh, depending on mean height or basal area per hectare or for age and quadratic mean. …”
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  11. 451

    A Novel Technique for Transmission of M-Ary Signal through Wireless Fading Channel Using Wavelet Denoising by Md. Zahangir Alam, Charles Chittaranjan Patra, Colin Patra, M. Abdus Sobhan

    Published 2011-01-01
    “…The result of the simulation study reveals that the BER performance can be increased using an appropriate control variable to force the mean of each detail coefficient to zero.…”
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  12. 452

    The Macroeconomic Framework of Support Analysis for Sustainable Businesses Development by Constantin Mitrut, Cristina Bălăceanu, Mihaela Gruiescu, Daniela Serban

    Published 2015-08-01
    “…The present research is based on a multifactorial liniar regression model which outlines the direct correlation between the dependent variable welfare and the independent variable of concentration measured by the Gini coefficient of wealth concentration, on the one hand, and by the GDP level, on the other hand, at the level of year 2012. …”
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  13. 453

    A Novel Structural Modification Method for Vibration Reduction: Stiffness Sensitivity Analysis with Principal Strain Application by Jiajun Hong, Takuya Yoshimura

    Published 2022-01-01
    “…The sensitivity is evaluated as a differential coefficient of the target response with respect to the design variable, e.g., stiffness or mass. …”
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  14. 454

    FUNGSI GREEN UNTUK PERSAMAAN DIFUSI-ADVEKSI DENGAN SYARAT BATAS DIRICHLET by Josua Josua, Evi Noviani, Fransiskus Fran

    Published 2020-06-01
    “…Mathematically, diffusion-advection equation can be written as  where  is concentration of material in the fluid, stands for the advection velocity, and  for diffusion coefficient. In this paper, a solution  is sought by using the Green’s function concept. …”
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  15. 455

    THE CORRELATION BETWEEN TOURISM ACCOMMODATION CAPACITY AND TOURIST INFLOW BY MICRO REGION OF DEVELOPMENT IN ROMANIA by Agatha POPESCU

    Published 2016-01-01
    “…In this purpose, the data provided by the National Institute of Statistics were processed using the indices with fixed and variable basis, comparison method, statistical parameters, Pearson coefficient of correlation, and linear regression function. …”
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  16. 456

    Modeling the position of tracked chassis in motion in the event of mechanical characteristics of separate drive electric motors of track contours by Goncharov K.A.

    Published 2023-12-01
    “…The use of electric motors in the structure of a separate drive of the tracked chassis circuits with a random combination of deviations of their sliding can both enhance the factors contributing to the relative run-up of the circuits and compensate for them depending on the function of the change in the motion resistance coefficient over time. …”
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  17. 457

    Zoning and Identification of Factors Affecting Illegal Livestock Grazing in Golestan National Park Using Logistic Regression by Meysam Madadi, HamidReza Rezaei, Alireza Mohammadi, Bagher Nezami Balochi, Maryam Shahbazi

    Published 2025-04-01
    “…The Aspect factor with a coefficient of 0.0015 was determined to be the least influential independent variable. …”
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  18. 458

    Research and Development Expenditures and Economic Growth in the EU: A Panel Data Analysis by Freimane Rita, Bāliņa Signe

    Published 2016-08-01
    “…The estimated model is the production function type standard growth model extended with R&D stock variable. …”
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  19. 459

    PENDUGAAN FUNGSI KEUNTUNGAN DAN RISIKO USAHATANI SAWI PAHIT (Brasischa juncea) DI DESA SAMBIREJO KECAMATAN SELUPU REJANG KABUPATEN REJANG LEBONG by Satria Putra Utama, Redy Badrudin, Merry Rien

    Published 2006-03-01
    “…Result of this research showed that, the average of farmer’s profit from the bitter mustard farming in sambirejo village, rejang lebong region on planting season of May/Juni are Rp.914.382,33/farm or Rp.4.747.964,79/Ha, and planting season of Feb/Maret are Rp.1.025.509,72/farm or Rp.6.698.378,53/Ha. Variable which influenced negatively and  significantly  on profit function of bitter mustard farming in sambirejo village, Selupu Rejang district of Rejang Lebong region on planting season of Feb/Maret and May/Juni are the land fare (X8*), production amount (X9*) and dummy variable (season plant). whereas, variables which influenced negatively and unsignificantly are the price of seed (X1*), the price of urea (X2*), but the price of dursban (X5*) influence positively and also has tendency to increase the profit of bitter mustard profit. …”
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  20. 460

    Nonparametric Test for Logistic Regression with Application to Italian Enterprises’ Propensity for Innovation by Stefano Bonnini, Michela Borghesi

    Published 2024-09-01
    “…In this work, a nonparametric method is proposed to jointly test the significance of the regression coefficient estimates in a logistic regression model and identify which explanatory variables are effective in predicting the binary response. …”
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