This paper presents a simple and easy implementable Least Mean Square (LMS) type approach for frequency estimation of three phase power system in an unbalanced condition. The proposed LMS type algorithm is based on a second order recursion for the complex voltage derived from Clarke's transformation which is proved in the paper. The proposed algorithm is real adaptive filter with real parameter...

Parachor based expressions (basic and mechanistic) are often used to model the experimentally observed pressure dependence of interfacial tension (IFT) behaviors of complex supercritical carbon dioxide (sc-CO2) and crude oil mixtures at elevated temperatures. However, such modeling requires various input data (e.g. compositions and densities of the equilibrium liquid and vapor phases, and molec...

abstract background and objective: a high level of homogeneity observed within all bacteria in the mycobacterium tuberculosis complex makes a property that seriously challenges traditional biochemical-based identification methods of these pathogens in the laboratory. the work presented here was conducted to characterize mycobacterium tuberculosis complex isolates in golestan, northern iran. mat...

in this work we introduce a practical use of synthesized schiff base metal complex in sensing application. a new perchlorate-selective electrode based on the complex n, n'-4-nitro-phenylmethanebis-(salicylaldiminato) copper (ii) [cul] as the membrane carrier was developed. the electrode exhibits a good  nernstian slope of -55.0 ± 1.0 mv/decade and a linear range of  for perchlorate. the limit o...

This thesis gives an introduction to the discrete complex wavelet transform, followed by a mean square error based performance analysis of complex wavelet-based compression of synthetic aperture radar (SAR) data within the software framework of the JPEG 2000 Verification Model (VM). With the many varied wavelets available to the signal processing community, it can be difficult to determine whic...

in this paper, a new approach of modeling for artificial neural networks (ann) models based on the concepts of ann and fuzzy regression is proposed. for this purpose, we reformulated ann model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ann models. hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility. in ...

With the market becoming increasingly competitive, there is a pressure to deliver systems with more functionality and at the same cost, which thus leads to more complexity in terms of number of components. Moreover, the society is becoming increasingly dependent on these systems for its critical functions. This coupled with shrinking time-to-market and reducing life-cycle, creates a need to fin...

Agent-based computational economics (ACE) is the computational study of economies modelled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This paper outlines the main objectives and defining characteristics of the ACE methodology, and discusses several active research areas.