This paper sets out the theoretical foundations for continuous-time signal extraction in econometrics. Continuous-time modeling gives an effective strategy for treating stock and flow data, irregularly spaced data, and changing frequency of observation. We rigorously derive the optimal continuous-lag filter when the signal component is nonstationary, and provide several illustrations, including...

The authors present an ontology-based information extraction process, which operates in a bootstrapping framework. The novelty of this approach lies in the continuous semantics extraction from textual content in order to evolve the underlying ontology, while the evolved ontology enhances in turn the information extraction mechanism. This process was implemented in the context of the R&D project...

A new method of curve-skeleton extraction is proposed in this paper. Unlike most methods this approach retrieves information from a polygonal mesh via rasterization and extraction of silhouettes’ continuous medial axes. Described method shows a great improvement in computational time comparing to existing methods. Method shows good extraction results for models with complex geometry and topolog...

In this paper, we propose an object recognition method for 2D objects using wavelet descriptors. The descriptors are derived from the continuous wavelet transform using the Mexican hat function as mother wavelet. In contrast to the other known methods we apply an angle function to describe object contours extracted as polygons. The contour extraction is based on the object oriented contour extr...

The paper derives forecasting and signal extraction estimates for continuous time processes. We present explicit formulas for filters and filter kernels that yield minimum mean square error estimates of future values of the process or an unobserved component, based on a continuum of values in the semi-infinite past. The class of processes considered are cumulations of moving average processes, ...

Extracting human's voice feature is the most important process in any speech recognition system. There are many feature extraction techniques which are already used such as MFCC, LPC and ZCPA; but still have some problems especially in the continuous speech. It is important to evaluate different feature extraction techniques for continuous speech by making a comparison between these techniques ...

Project Goals: We are developing Bacillus megaterium as a host for continuous biofuel production coupled with in situ product extraction by supercritical CO2 (scCO2) stripping. We employ a cross-disciplinary collaborative approach to achieve the following: (1) Develop a supercritical CO2 tolerant strain of B. megaterium into a bioproduction host for biofuels (2) Engineer de novo pathways for bi...

BACKGROUND Continuous 12-lead ECG monitoring (Holter) in early-phase pharmaceutical studies is today widely used as an ideal platform to extract discrete ECGs for analysis. The extraction process is typically performed manually by trained readers using commercial Holter processing systems. METHODS Antares, a novel method for automatic 12-lead extraction from continuous Holter recordings apply...

Among other applications, electroporation is used for the inactivation of pathogens and extraction of substances from microorganisms in liquids where large scale flow systems are used. The aim of our work was therefore to test a pulse generator that enables continuous pulsed electric field (PEF) treatment for Escherichia coli inactivation and microalgae lipid extraction. In the continuous flow ...

Development experience of ore traffic and extraction simulation system in underground part of potash mines is reviewed. Distinctive features of suggested simulation model (combine complex extraction, using conveyor transport and transfer point in continuous ore traffic simulation) are represented. Implementation features of bundled software ”Рудопоток” are considered.