We present here a general digital method to accelerate correlation-based digital background calibration in pipelined ADCs. The central task in correlation-based background calibration is the extraction of component mismatch information from correlated data sequences. Using an explicit frequency domain analysis, we treat the extraction process as discrete-time low pass filtering. We then show th...

abstractin order to study the changes in chemical forms of zinc in the rhizosphere of two tuber plants and their relationship to plant uptake in a polluted soil, sequential (tessier et al., 1979) and single step extraction methods were used. in this research, three radish cultivars (raphanus sativus) and two turnip (brassica rapa) cultivars were planted in a complete randomized design pot exper...

This paper reports several intelligent diagnostic approaches for rotating machinery based on artificial intelligence methods and feature extraction of vibration signals. That is: the diagnosis method based on wavelet transform, rough sets and neural network; the diagnosis method based on sequential fuzzy inference; diagnosis approach by possibility theory and certainty factor model; the diagnos...

Definition Extraction (DE) and terminology are contributing to help structuring the overwhelming amount of information available. This article presents KESSI (Knowledge Extraction System for Scientific Interviews), a multilingual domainindependent machine-learning approach to the extraction of definitional knowledge, specifically oriented to scientific interviews. The DE task was approached as ...

The objective of this laboratory study was to identify and measure manganese (Mn) fractions in chamber-generated welding fumes (WF) and to evaluate and compare the results from a sequential extraction procedure for Mn fractions with that of an acid digestion procedure for measurement of total, elemental Mn. To prepare Mn-containing particulate matter from representative welding processes, a wel...

The Deûle canal is one of the most polluted canals in northern France. It contains large volumes of polluted sediments. These have to be dredged and characterized before deciding about the technology suitable for their treatment. The sediments are thus subjected to a physico-chemical characterization comprising particle size classification and heavy metals sequential extraction studies. The tot...

An analyticai procedure involving Sequential chemical extractions has been developed for the partitioning of Particulate trace metals (Cd, Co, Cu, Ni, Pb, Zn, Fe, and Mn) into five fractions: exchangeable, bound to carbonates, bound to Fe-Mn oxides, bound to organic matter, and residual. Experimental results obtained on replicate samples of fluvial bottom sediments demonstrate that the relative...

Sequential washing techniques using single or dual agents [sodium hydroxide (NaOH) and hydrochloric acid (HCl) solutions] were applied to arsenic-contaminated soils in an abandoned iron-ore mine area. We investigated the best remediation strategies to maximize arsenic removal efficiency for both soils and arsenic-containing washing solution through conducting a series of batch experiments. Base...

Sequential extraction of Hg was performed in a core collected from intertidal area in Ulhas Estuary in order to characterize the downward distribution and diagenetic behavior of Hg in a polluted estuary. Concentration of total Hg ranged between 0.46 and 6.40 microg g(-1) with significant decrease in surficial sediment as a result of closing of two Hg-cell based chlor-alkali plants. Results of s...

As in the foreseeable future a human will be expected to remain as part of the object extraction system, semi-automated road extraction methods are still important. Following this trend, this paper presents a semi-automated method for extracting road segments from mediumand high-resolution images based on active testing and edge analysis. The method is based on two sequential and independent st...