Modern cosmology began with the realization that there were solutions to Einstein’s theory of gravity discovered by Friedmann and Lemaitre which when combined with the redshift distance relation of Hubble and others could be interpreted as showing that we live in an expanding universe. It was then only elementary logic to argue that if time reversal was applied, the universe must originally hav...

In this chapter, we propose a general framework for deriving efficient (polynomial-time) algorithms for steady-state scheduling. In the context of large scale platforms (grids or volunteer computing platforms), we show that the characteristics of the resources (volatility, heterogeneity) limit their use to large regular applications. Therefore, steady-state scheduling, that consists in optimizi...

Steady state simulation is used to study long-run behavior. Usually only the expected value of the steady state probability distribution function is estimated. In many cases quantiles of this distribution are of higher interest. In this paper a new usage of quantile estimators is proposed, which is derived from mean value analysis and is based on multiple independent replications. The advantage...

The paper presents a new modeling framework enabling to evaluate the cyclic steady state of a given system of concurrently flowing cyclic processes (SCCP) on the base of the assumed topology of transportation routes, dispatching rules employed, resources and operation times as well as an initial processes allocation. The objective is to provide the rules useful in the course of routing and sche...

This paper presents a new approach to the application mode of image processing operators, the so-called steady-state image processing. The approach reminds a steady-state genetic processing of images by considering each pixel of the image as an individual. So, some pixels are selected, processed and copied back into the image. This differs from the standard approach, where all image pixels are ...

We will discuss several techniques for obtaining point estimates and confidence intervals for steady-state performance measures. Let (X(t): t≥ 0) be a GSMP with (discrete) state space S that represents the underlying stochastic process of a simulation. Fix a real-valued function f defined on S and set Y(t) = f(X(t)) for t ≥ 0. There are several possible ways to define steady-state performance m...

Carey, DG, Tofte, C, Pliego, GJ, and Raymond, RL. Transferability of running and cycling training zones in triathletes: implications for steady-state exercise. J Strength Cond Res 23(1): 251–258, 2009—The primary objective of this study was to determine whether physiological measurements obtained from one mode of testing and training could be applied to another mode, as in prescribing heart rat...

Minimum energy combination (MEC) is a widely used method for frequency recognition in steady state visual evoked potential based BCI systems. Although it can reach acceptable performances, this method remains sensitive to noise. This paper introduces a new technique for the improvement of the MEC method allowing ameliorating its Anti-noise capability. The Empirical mode decomposition (EMD) and ...

This paper deals with Automatic Generation Control (AGC) of a two area reheat thermal system with modified area control error (ACEM) considering operation of the system in the continuous-mode and that of the controller in the discrete mode. ACEM is the weighted sum of frequency deviation, tie-power deviation and inadvertent interchange energy. Studies show that the AGC-strategy based on ACEM pr...