the aim of this study was to determine the extent of metal pollutions and the identification of their major sources in the vicinity of the sangan iron mine occurring in ne iran. soil samples were collected from the vicinity of the mine site and analyzed for heavy metals. in addition, the chemical speciation of these metals was investigated by means of the sequential extraction procedure. the st...

In this paper, we propose a novel matchedfilter-type parallel code acquisition scheme to detect uplink short-code wideband CDMA multipath signals. A treestructured parallel adaptive network of RAKE fingers is created for all possible delay shifts and users. Employing a sequential detection scheme, only viable fingers are used to generate the output decision statistics. Monte Carlo computer simu...

a novel pyridine-2,6-dicarboxylic acid mixed ligands complex of formula [co(no3)2].6h2o has been obtained by the reaction of pyridine-2,6-dicarboxylic acid with cobalt nitrate and 1,10-phenanthroline on heating in water. the structures of [co(pydc)(phen)(h2o)](pydch2).4h2o receptors, and their complexes were optimized using dft method at the b3lyp/3-21g** level. the highest occupied molecular o...

This study applies variogram analyses of normalized difference vegetation index (NDVI) images derived from SPOT HRV images obtained before and after the ChiChi earthquake in the Chenyulan watershed, Taiwan, as well as images after four large typhoons, to delineate the spatial patterns, spatial structures and spatial variability of landscapes caused by these large disturbances. The conditional L...

The present research examines the nature of the interference effects in a number of selective attention tasks. All of these tasks result in interference in performance by presenting information that is irrelevant to task performance but competes for selection. The interference from this competing information slows the response time (RT) of participants relative to a condition where the competit...

We consider approximate inference in a class of switching linear Gaussian State Space models which includes the switching Kalman Filter and the more general case of switch transitions dependent on the continuous hidden state. The method is a novel form of Gaussian sum smoother consisting of a single forward and backward pass, and compares favourably against a range of competing techniques, incl...

Sequential sampling strategies based on Gaussian processes are now widely used for the optimization of problems involving costly simulations. But Gaussian processes can also generate parallel optimization strategies. We focus here on a new, parameter free, parallel expected improvement criterion for asynchronous optimization. An estimation of the criterion, which mixes Monte Carlo sampling and ...

This correspondence considers the problem of detecting abrupt changes in the mean of a multivariate Gaussian random signal. A fixed sample size -test is compared against the optimum sequential tests ( -CUSUM and -GLR).

In this paper we present a sequential expectation maximization algorithm to adapt in an unsupervised manner a Gaussian mixture model for a classification problem. The goal is to adapt the Gaussian mixture model to cope with the non-stationarity in the data to classify and hence preserve the classification accuracy. Experimental results on synthetic data show that this method is able to learn th...

Several important properties of poly(3-hydroxybutyric-co-3-hydroxyvaleric acids) (P(3HB-co-3HV) depend mainly on the HV unit fraction of the copolymer. Sequential and simultaneous feeding of glucose and valerate were employed to produce P(3HB-co-3HV) in a fed-batch culture of Ralstonia eutropha, and the effects of feeding models on the cell growth, 3HV unit fraction, and copolymer productivity ...