Wire electric discharge machining (WEDM) is one of the advanced machining processes. Response surface methodology coupled with Grey relation analysis method has been proposed and used to optimise the machining parameters of WEDM. A face centred cubic design is used for conducting experiments on high speed steel (HSS) M2 grade workpiece material. The regression model of significant factors such ...

The possibility to identify linear systems from finite data, e.g. a partial impulse response, is determined by the degree of corroboration of system restrictions by the observed data. Ala~'Kt-In this paper we investigate the identification of systems from time series observed over a finite time interval. The data generating system is supposed to be finite dimensional, linear and time invariant,...

The main objective for the present research was to assess the effect of cyclic starvation and L- carnitine supplementation on growth (body final weight, hepatosomatic index (HSI), daily growth rate (DGI), feed conversion ratio (FCR) and voluntary feed intake (VFI)), body composition (crude protein, crude lipid, ash and moisture), biochemical (plasma total protein, glucose, cholesterol, triglyce...

The sliding mode control algorithm based on grey prediction theory is proposed in this study, aiming at the uncertainties in the servo system of fruit harvesting robot and the external disturbances that may affect the control quality of conventional sliding mode control algorithm. The proposed algorithm uses the grey theory ability to unknown information data to establish the grey model to the ...

In this paper a parallel and adaptive methodology for optimizing the time series prediction using System Identification is shown. In order to validate this methodology, a set of time series based on the sun activity measured during the 20th century have been used. The prediction precision for short and long term improves with this technique when it is compared with the found results using Syste...

The analysis of industrial processes allows quality assessment and production monitoring. Usually these operations are carried out exploiting time-series data. In this work, we analyze a concrete design study of space efficient and time-aggregating visualizations for the analysis of high-frequency time-series. We derive recommendations to enhance the design process and demonstrate their applica...

Using an earnings management model in which managers can manipulate the earnings announcement when the firm’s internal control system fails, this paper proposes a measure of earnings quality, based on Ganuza and Penalva’s (2010) notion of integral precision that can be estimated using either the time series of earnings or the relation between earnings and prices. I show that large scale frauds ...

in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...