parameter estimation is an important task in the modeling, classification, and detection of radar clutters. radar clutters have stochastic characteristics. therefore, statistical distributions are usually used to describe the features of clutters better. k distribution is one of the most common models utilized to the simulation of clutters. this distribution, which consists of scale and shape p...

As is well known, estimating parameters of the tree-parameter weibull distribution is a complicated task and sometimes contentious area with several methods vying for recognition. Weibull distribution involves in reliability studies frequently and has many applications in engineering. However estimating the parameters of Weibull distribution is crucial in classical ways. This distribution has t...

Direct drilling method and the use of microtremor studies are among the most commonly used available methods utilized to estimate dynamic parameters for a site. One of the most important parameters is the dominant period of the site whose estimation plays a pivotal role in seismic hazard mitigation. The conventional models obtained are not capable of estimating the parameters that govern the se...

nowadays, much attention has been paid on using geostatistical methods for estimation of spatial parameters, either using the variables of these parameters (kriging) or auxiliary variables (cokriging), in water and soil sciences. the quality of ground water for agriculture is very important; however, it is expensive and time consuming to measure parameters such as sar, na, ca, th, tds and ec. t...

In this paper a novel hybrid algorithm for harmonics estimation in power systems is proposed. The estimation of the harmonic components is a nonlinear problem due to the nonlinearity of phase of sinusoids in distorted waveforms. Most researchers implemented nonlinear methods to extract the harmonic parameters. However, nonlinear methods for amplitude estimation increase time of convergence. Hen...

SENSOR DATA VALIDATION A.N. Boudaoud, M.H. Masson Heudiasyc, U.M.R. C.N.R.S. 6599, Universit e de Technologie de Compi egne, B.P. 20529, 60205 Compi egne Cedex, France e-mail : [email protected] Abstract. An adaptive fuzzy diagnosis system is presented for diagnosis of incipient sensor faults in an environmental process. Simulations demonstrate the capabilities of the system to detect the occure...

Code duplication is an important problem in application maintenance. Tools exist that support code duplication detection. However, few of them propose a solution for the problem, i.e. refactorings. We propose an approach that uses the information given by code duplication detection to guide the refactorings of OO applications. 1 Code Duplication and Refactorings: Two Poles of a Magnet Code dupl...