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Year: 2023, Volume: 23, Number: 2
... illumination, which proves the effectiveness and robustness of our model. and complex background, making them difficult to ... , in the rough estimation network, a structure- models, for each landmark, the heatmap regression models ... AFLW. The mean error on AFLW dataset is reported models-their training and application," Computer Vision and Image ...
Year: 2016, Volume: 16, Number: 3
... a different person due to Index Terms — gaussian mixture model, expectation- maximization algorithm, similarity score, ... scenarios can be classified into two categories, of Gaussian models of labeled faces is also widely applicable to namely ... . Moreover, our proposed method can also be is model-based feature geometry which employs shape and deployed to other ...
Year: 2013, Volume: 13, Number: 4
... @elfak.ni.ac.rs 1 Abstract — The constraints on the quantizer model are to other sophisticated quantizers, mainly due to ... complex the model can be designed and simplicity. Numerous models of quantizers have been implemented. For the given ... compandor Uniform on the changing variance of the input signal modeled by quantizer Laplacian probability density function (PDF) ...
Year: 2021, Volume: 21, Number: 1
... the optimal rotor frequency and time-domain iron and magnet loss modeling including retaining sleeve structure for the reduction of Eddy ... patterns and stator coil winding topology (1 /20 model): (a) Model A, ( ... various, and the previous studies applied an induction analysis models is manufactured for its experimental machine [16] ...
Year: 2009, Volume: 8, Issue: 2
... and Computer Engineering Volume 8, Number 2, 2008 Modeling and Sizing of Supercapacitors Dorin PETREUS, Daniel MOGA ... Figure 1), Helmoltz proposed already in 1853 a model to Figure 2. Schematic of an electrochemical double-layer ... with diffusion-controlled processes when More elaborate (and accurate) models of the double- layer examined under ac modulation ...
Year: 2007, Volume: 7, Issue: 1
... burden vertical acceleration over different operating conditions. related to modeling, analysis and design of a control system. ... — This paper proposes a two-rate hybrid neural categories: model simplification, interconnected systems, network system, which ... work stochastic systems can be subjected with (SS) models of multi-input/multi-output (MIMO) stochastic unknown ...
Year: 2012, Volume: 12, Number: 2
... in fuzzy scores as an appropriate and natural way for modeling Electrical and Computer Engineering, vol. 9, ... Recognition of Children's Affective State Using Physiological Parameters and Fuzzy Model of Emotions Ovidiu-Andrei SCHIPOR, Åžtefan-Gheorghe PENTIUC, Maria-Doina ... movement and gestures, speech and addition to these linear models, different hierarchical models paralanguage parameters, physiological signals ...
Year: 2021, Volume: 21, Number: 2
... local area network (WLAN) shifted bands. The model antennas are designed to operate at and ultra-wideband ( ... The optimized important features for the radiation. The antenna models are parameters of the antenna are summarized in Table ... where designed for operating at sub 6 GHz 5G bands [28] and 5.8 fr (Antenna #0 ...
Year: 2020, Volume: 20, Number: 3
... fractional calculus, level control, nonlinear applied PI – Model Reference Adaptive Controller (MRAC) control systems, ... following first-order differential equation in L 1, A. Modelling of the coupled tank liquid level system The coupled ... and Computer Engineering Volume 20, Number 3, 2020 Model-based Dynamic Fractional-order Sliding Mode Controller Design for Performance Analysis ...
280. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... generally worked in the magnetically saturated mode. A proper modeling of the nonlinear flux – current – angle ( ... mathematical for a sensorless switched reluctance motor. The observer model, and efficiently estimate the rotor position at high ... based on the measured voltage and current signals only. Model-based methods using AFO for state estimation are relatively simple ...
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