The Einstein static (ES) state is a good candidate for describing the very early universe in terms of regular cosmological model which Big Bang singularity avoided. In present study we propose an ES solution framework generalized Rastall gravity (GRG), modified version original theory coupling parameter allowed to vary with respect spacetime coordinates. Introducing ansatz parameter, existence ...

The objective of this manuscript is to develop, for the first time, a mathematical model prediction buckling, postbuckling, and nonlinear bending imperfect bio-inspired helicoidal composite beams with rotation angle. equilibrium integrodifferential equations (curved) are derived from Euler–Bernoulli kinematic assumption. differential integral quadrature method (DIQM) Newton-iterative employed e...

in this paper power system stability enhancement through static synchronous compensator (statcom)based controller is investigated. the potential of the statcom supplementary controllers to enhance thedynamic stability is evaluated. the design problem of statcom based damping controller is formulatedas an optimization problem according to the eigenvalue based objective function that is solved by...

the present study is an attempt to investigate some features of radial basis functions (rbfs) approximation methods related to variational problems. thereby authors applied some properties of rbfs to develop a direct method which reduces constrained variational problem to a static optimization problem. to assess the applicability and effectiveness of the method, some examples are examined. dyna...

Earth-fill dams stability in steady state seepage condition is very important, especially during earthquakes. Numerical software analyses require accurate and realistic modeling of construction stages. Since earth-fill dams are constructed in different layers, so these conditions should be considered in software modeling to achieve a reasonable design. In this study, an earth-fill dam is modele...

The neuron state modeling and the local field modeling provides two fundamental modeling approaches to neural network research, based on which a neural network system can be called either as a static neural network model or as a local field neural network model. These two models are theoretically compared in terms of their trajectory transformation property, equilibrium correspondence property,...

Layered multicast is a promising technique for distributing video to a set of heterogeneous receivers. While several layered multicast approaches have been proposed, prior work usually perform adaptation on the receiver’s side and use static rate allocation techniques at the sender’s side. In this paper, we show an adaptation framework that improves stability and fairness of receivers by employ...

Low power consumption and stability in Static Random Access Memories (SRAMs) is essential for embedded multimedia and communication applications. This paper presents a novel design flow for power minimization of nano-CMOS SRAMs, while maintaining their stability. A 32 nm High-κ/Metal-Gate SRAM has been used as example circuit. The baseline SRAM circuit is subjected to power minimization using a...