460 research outputs found

    Consistent nonparametric multiple regression: The fixed design case

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    AbstractConsider the nonparametric regression model Yi(n) = g(xi(n)) + Ξ΅i(n), i = 1, …, n, where g is an unknown function, the design points xi(n) are known and nonrandom, and Ξ΅i(n)'s are independent random variables. The regressor is assumed to take values in A βŠ‚ Rp, and the regressand to be real valued. This paper studies the behavior of the general nonparametric estimate gx(x)=βˆ‘i=1nwni(x)Yi(n), where the weight function wni is of the form wni(x) = wni(x; xi(n), …, xn(n)). Under suitable conditions, it is shown that the general linear smoother gn for the unknown regression function g is asymptotically pointwise unbiased, weak, mean square and complete consistent, and asymptotically normal. The results of the limit theorems can be applied to extend or improve the conditions of the estimates with various particular weights wni including all those known in the literature

    BUILDING OWL ONTOLOGY IN FEDORA DIGITAL REPOSITORY

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    Digital repositories find more and more applications in various information systems and especially in e-learning systems. Along with storing digital objects the repositories need to also to represent domain knowledge, user profiles, multilanguage classification taxonomies, etc. This could be achieved by using ontologies represented in OWL. The Fedora digital repository is one of most powerful repositories. It supports relationships between the digital objects that are expressed in the RDF language. This allows implementation of OWL ontologies in Fedora. In this paper we describe in details our approach to represent OWL Lite ontologies in Fedora. We have also implemented a web based ontology editor that allows easy definition, modification and storing OWL ontologies in Fedora. The editor is written in PHP, uses the Fedora services for the interface with the repository and AJAX (jQuery) for building the user interface. The paper discusses also the architecture and the implementation of the editor

    Performance of Vertically Stacked Horizontal Si Nanowires Transistors: A 3D Monte Carlo / 2D Poisson Schrodinger Simulation Study

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    In this paper we present a simulation study of 5nm vertically stacked lateral nanowires transistor (NWTs). The study is based on calibration of drift-diffusion results against a Poisson-Schrodinger simulations for density-gradient quantum corrections, and against ensemble Monte Carlo simulations to calibrate carrier transport. As a result of these calibrated results, we have established a link between channel strain and the device performance. Additionally, we have compared the current flow in a single, double and triple vertically stacked lateral NWTs
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