نتایج جستجو برای: sifting process
تعداد نتایج: 1312844 فیلتر نتایج به سال:
Global or regional environmental changes in climate or land use have been increasingly implied in shifts in boundaries (ecotones) between adjacent ecosystems such as beech or oak-dominated forests and forest-steppe ecotones that frequently co-occur near the southern range limits of deciduous forest biome in Europe. Yet, our ability to detect changes in biological communities across these ecosys...
Abstract Trans-Neptunian objects provide a window into the history of solar system, but they can be challenging to observe due their distance from Sun and relatively low brightness. Here we report detection 75 moving that could not link any other known objects, faintest which has VR magnitude 25.02 ± 0.93 using Kernel-Based Moving Object Detection (KBMOD) platform. We recover an additional 24 s...
____________________________________________________________________________________________ Abstract: Selecting a useful list of variables for consideration in a predictive model is a critical step in the modeling process and can result in better models. Sifting through and selecting from a long list of candidate variables can be onerous and ineffective, particularly with the increasingly wide...
In this paper, a combined approach to damage diagnosis of systems is proposed. The intention is to identify the natural frequencies and the presence of damage. In a first step, the basic concept of the Hilbert Huang Transform is presented where the empirical mode decomposition is applied on the signal using a sifting process to obtain intrinsic mode functions exhibiting monocomponent behavior. ...
The HHT (Hilbert-Huang transform) and wavelet transform are both signal processing methods. This paper is based on comparing HHT and Wavelet transform applied to Radar signals. HHT can be used for processing nonstationary and nonlinear signals. It is one of the time-frequency analysis techniques which consists of Empirical Mode Decomposition (EMD) and instantaneous frequency solution. EMD is a ...
Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful...
In addition to preserving a record of the effects of the decay of long-lived nuclei, meteorites can preserve a record of nuclear processes of a fundamentally different type than occur in terrestrial rock. Study of this record can lead to a nuclear history of the solar system, in the sense that it can provide information on (1) nuclear events which may have occurred during, subsequent to, or eve...
This paper proposes a new approach of using nonlinear technique, two-dimensional empirical mode decomposition (2DEMD) and PCA plus LDA for facial emotion recognition. The EMD is a non-parametric data-driven analysis tools which decomposes any nonlinear and non-stationary signals into a number of intrinsic mode functions (IMFs). In this work we used the 2DEMD which is the extension of one dimens...
This report is based upon the examination of 155 children in a Jewish orphanage in Philadelphia. The original purpose of the investigation was to compare the performance level of this group of children?showing an average school retardation of over one year? with the performance level, measured quantitatively, of an unselected larger group, using tests which had been standardized with the unsele...
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