Search alternatives:
variable » variables (Expand Search)
Showing 261 - 280 results of 2,364 for search '(( variable friction efficient. ) OR ( variable function (coefficiency. OR efficiency.) ))', query time: 0.15s Refine Results
  1. 261

    Analysis of the variability of morphometric and physiological parameters of grain crops when using biofertilizers by D. G. Fedorova, L. V. Galaktionova

    Published 2024-03-01
    “…The parameters of photosynthetic activity play an important role in photosynthesis and ensure the efficient functioning of plants under various conditions. …”
    Get full text
    Article
  2. 262

    Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance by Zhichen Li, Qiaoran Wang, Huaicheng Yan

    Published 2025-06-01
    “…This study proposes an event-triggered fault-tolerant active disturbance rejection control (ADRC) method for variable-load quadrotors with prescribed performance. …”
    Get full text
    Article
  3. 263

    Modeling the Public Transport Networks: A Study of Their Efficiency by Mary Luz Mouronte-López

    Published 2021-01-01
    “…We have found that this process may be appropriately explained by a generalized linear model (GLM) using local, global, and quasilocal similarity indexes as explanatory variables. In modeling, the response variable was described by a binomial probability density function, and the logit function was used as a link function. …”
    Get full text
    Article
  4. 264
  5. 265

    A New Paradigm in AC Drive Control: Data-Driven Control by Learning Through the High-Efficiency Data Set—Generalizations and Applications to a PMSM Drive Control System by Madalin Costin, Ion Bivol

    Published 2024-11-01
    “…Knowing a reasonable number of optimal efficiency operation points, an interpolation Radial Base Function (RBF) control was built. …”
    Get full text
    Article
  6. 266

    Robust control of a compliant manipulator with reduced dynamics and sliding perturbation observer by Muhammad Salman, Zhenwei Niu, Rajmeet Singh, Lochan Kshetrimayum, Irfan Hussain

    Published 2025-03-01
    “…The SPO effectively estimates all system states and perturbation, compensating for nonlinearities, disturbances due to variable stiffness, and friction, enabling consistent trajectory tracking with minimal control effort. …”
    Get full text
    Article
  7. 267

    Enhancing building energy efficiency with thermal mass optimization by Yichen Han, Zhengyu He, Shuangdui Wu, Yuqiu Liu, Yingkai Lian, Chaohong Wang, Jiajia Feng, Zhengnan Zhou

    Published 2025-06-01
    “…However, effectively harnessing this energy remains challenging due to the spatiotemporal variability of heat storage–release behavior in building components, which often misaligns with building operational demands. …”
    Get full text
    Article
  8. 268

    Design and Research of a Variable Ratio Transmission Mechanism of Electric Power Steering System by Xueyun Li, Shuang Liang

    Published 2020-11-01
    “…Then a continuously differentiable curve function of variable transmission ratio is designed, and the noncircular gear in the system is designed. …”
    Get full text
    Article
  9. 269
  10. 270
  11. 271
  12. 272
  13. 273

    Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

    Published 2025-01-01
    “…To address these limitations, this study employs the covariance matrix decomposition method to generate 3D lognormal random fields for soil parameters, enabling efficient modeling of spatial variability. The particle swarm optimization (PSO) algorithm is refined with enhanced termination criteria and integrated with the 3D Bishop method to search for the minimum factor of safety (F). …”
    Get full text
    Article
  14. 274

    A POD-Based Reduced-Dimension Method for Solution Coefficient Vectors in the Crank–Nicolson Mixed Finite Element Method for the Fourth-Order Parabolic Equation by Xiaohui Chang, Hong Li

    Published 2025-02-01
    “…This research proposes a method for reducing the dimension of the coefficient vector for Crank–Nicolson mixed finite element (CNMFE) solutions to solve the fourth-order variable coefficient parabolic equation. …”
    Get full text
    Article
  15. 275

    Enhancing water depth inversion accuracy via SAR and variable window sliding segmentation by Meng Zhang, Meng Zhang, Chao Qi, Chao Qi, Fanlin Yang, Fanlin Yang, Ruifu Wang, Ruifu Wang, Saied Pirasteh, Saied Pirasteh

    Published 2025-02-01
    “…Traditional segmentation methods lack efficiency and often result in low-resolution outcomes. …”
    Get full text
    Article
  16. 276

    Research in material distribution based on topology optimization in variable section segmented thermoelectric generators by Qiuchen Fu, Yemao Wang, Liyao Xie, Yulong Zhao, Barkat Ali Bhayo

    Published 2025-07-01
    “…Under various boundary conditions, the output power and conversion efficiency of the topology optimized structures with different objective functions outperform those of the comparison structures. …”
    Get full text
    Article
  17. 277

    RESEARCH CONCAVE CIRCULAR HOLE TEMPLATE LINEAR VARIABLE THICKNESS STIFFNESS AND STRENGTH THEORIES by LI ShaoJie

    Published 2015-01-01
    “…This paper studies linear variable thickness circular aperture concave template theory of stiffness and strength calculation.First,set up mechanical model:Template for circular concave,outside the perimeter fixed; center has a round hole,inside the perimeter free,outside under uniformly distributed vertical load.Secondly,the establishment of mathematical model:Derivation of concave template in the axisymmetric condition,ordinary differential equation with variable coefficients of elastic curved surface,and gives the mathematical expressions of boundary conditions.Again,in view of the differential equation boundary value problem,the displacement method and the Matlab algorithm,it is concluded that the deflection of concave template function,and establish the stiffness calculation condition of concave template.Then,determine the concave template on the bending moment and the maximum bending moment and stress,so as to establish a concave template strength calculation conditions.Finally,numerical examples.This paper presents the function solutions,to change law of control concave template section variable parameters.In this way,not only highlight the interdependent relationship between the quantity of each,and optimization,and discussion and application.The result is suitable for uniform,continuous,isotropic material artifacts.Because in the process of calculation and data processing with error,so the formula is similar.…”
    Get full text
    Article
  18. 278

    MODELING OF SHIP MOVEMENT IN SHALLOW WATER ACCORDING TO A SPECIFIC TRAJECTORY AT VARIABLE DEPTH by Z. M. Abdullaeva

    Published 2017-12-01
    “…Mathematical models of ship movement in shallow water at variable navigation depths, which differ from the existing ones, are developed: the coefficients of variable hydrodynamic equations are not constant values, but variables obtained by approximating the shallow water impact curves onto hydrodynamic coefficients in the form of third-order polynomials.Conclusions. …”
    Get full text
    Article
  19. 279

    Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity by Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

    Published 2022-01-01
    “…This paper adopts a multiobjective approach that considers system efficiency, user inconvenience, and transit equity without the use of weights in order to design a more realistic and efficient transit network. …”
    Get full text
    Article
  20. 280

    Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

    Published 2022-01-01
    “…One of the major obstacles in building an accurate prediction model is optimising the input variables. Therefore, developing an efficient algorithm to select the optimal input parameters that have the highest information content to represent the target and minimise redundant data is very important. …”
    Get full text
    Article