Showing 101 - 120 results of 1,541 for search '(variable OR variables) (friction OR function) (efficient. OR efficiency.)', query time: 0.17s Refine Results
  1. 101

    Modeling and Simulation of an Intelligent Photovoltaic Controller Based on Variable Step Algorithm of Versoria by Bo Sun, Yongquan You, Zhiyong Zhang, Chao Li

    Published 2020-01-01
    “…For the limitation of fuzzy control algorithm, considering the property of the Versoria function, an MPPT design method for an intelligent controller based on the Versoria variable step algorithm is further proposed. …”
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    Article
  2. 102

    Near-Infrared Electronically-Controlled Variable Attenuator for W-Band Frequency Range by Suren Gigoyan, Mohammad-Reza Nezhad-Ahmadi

    Published 2025-01-01
    “…This article presents the design, fabrication, and performance evaluation of a novel high-performance millimeter-wave (mm-wave) variable attenuator operating across the 75–110 GHz frequency band, controlled via near-infrared (NIR) illumination. …”
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  3. 103

    Age differences in the variability and distribution of sleep spindle and rapid eye movement densities. by Kevin R Peters, Laura B Ray, Stuart Fogel, Valerie Smith, Carlyle T Smith

    Published 2014-01-01
    “…Although age differences were observed in the degree of absolute variability (older adults had significantly larger variances than young adults for sleep efficiency and time spent awake after sleep onset), a similar pattern was also observed within the two age groups: the four sleep measures with the lowest degrees of relative variability were the same and included time spent in REM and Stage 2 sleep, total sleep time, and sleep efficiency. …”
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  4. 104

    A Home-Based Self-Powered Rehabilitation System With Variable Stiffness Mechanism by Ke Shi, Yingchen Gao, Maozeng Zhang, Lifeng Zhu, Aiguo Song

    Published 2025-01-01
    “…This paper demonstrates a home-based self-powered rehabilitation system with a variable stiffness mechanism (VSM), providing proper coupling stiffness between the UIS and IS according to the IS’s motor ability. …”
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  5. 105

    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. …”
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  6. 106

    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. …”
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  7. 107

    Variational Bayesian Variable Selection in Logistic Regression Based on Spike-and-Slab Lasso by Juanjuan Zhang, Weixian Wang, Mingming Yang, Maozai Tian

    Published 2025-07-01
    “…The method of introducing a new hidden variable or approximating the lower bound is used to solve the problem of logistic functions without conjugate priors. …”
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  8. 108
  9. 109

    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. …”
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  13. 113

    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. …”
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  14. 114
  15. 115

    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. …”
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  16. 116
  17. 117

    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). …”
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  18. 118

    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. …”
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  19. 119

    The Constraint Function Response Shifting Scalar-Based Optimization Method for the Reliability-Based Dynamic Optimization Problem by Ping Qiao, Qi Zhang, Yizhong Wu

    Published 2025-02-01
    “…Specifically, the shift scalar CFRSS is calculated by the probability density function of the constraint function response and deducted for probabilistic constraints in the constraint function response space to move the violated constraints toward the reliable region, avoiding solving large-scale optimization problems in the control variable space. …”
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  20. 120