Thas paper presents the desagn of a fuzzy usage parameter controller (FUPC) for ATM (asynchronous transfer mode) networks The usage parameter control (UPC) as here based on a dual leaky bucket (DLB) mechanasm, wath parameters of token generatzon rate and token pool saze. In FUPC, we further e m p l o y parameters of token-change rate and anterarnval tame of zncomzng cells as znput languastac va...

? This article aims to analyse the importance of the Wikipedia articles in different languages (English, French, Russian, Polish) and the impact of the importance on the quality of articles. Based on the analysis of literature and our own experience we collected measures related to articles, specifying various aspects of quality that will be used to build the models of articles importance. For ...

This paper concerns the reconstruction of the absorption and scattering parameters in a time-dependent linear transport equation from knowledge of angularly averaged measurements performed at the boundary of a domain of interest. We show that the absorption coefficient and the spatial component of the scattering coefficient are uniquely determined by such measurements. We obtain stability resul...

A via is experimentally characterized by using highfrequency s-parameter measurements. Test patterns are designed and fabricated by using a package process. They are measured by using VNA (vector network analyzer) up to 25GHz. The parasitic effects due to access lines for on-wafer probing are deembedded. Then modeling the via as two equivalent circuits (Ttype and Pi-type), the circuit model par...

In this paper we compute the N-point correlation functions of the tachyon operator from the Neveu Schwarz sector of super Liouville theory coupled to matter fields (with ĉ ≤ 1) in the super Coulomb gas formulation, on world sheets with spherical topology. We first integrate over the zero mode assuming that the s parameter takes an integer value, subsequently we continue the parameter to an arbi...

Applying state of the art deeplearning models to novel real world datasets gives a practical evaluation of the generalizability of these models. Of importance in this process is how sensitive the hyper parameters of such models are to novel datasets as this would affect the reproducibility of a model. We present work to characterize the hyper parameter space of an LSTM for language modeling on ...

We present herein a compilation and trend analysis of human i.v. pharmacokinetic data on 670 drugs representing, to our knowledge, the largest publicly available set of human clinical pharmacokinetic data. This data set provides the drug metabolism scientist with a robust and accurate resource suitable for a number of applications, including in silico modeling, in vitro-in vivo scaling, and phy...

In his elegant discussion, Sripada distinguishes three possible innate bases for aspects of morality: (1) certain specific principles might be innate, (2) a less simple “principles and parameters” model might apply, and (3) innate biases might have have some influence over what morality a person acquires without determining the content of that morality.1 He argues against (1) and (2) and in fav...

The use of auctions for distributing resources in competing environments has produced a large variety of auctions types and algorithms to treat them. However, auctions have some problems when faced with some real-world applications containing renewable and perishable resources. In this paper we present a mechanism to deal with such issues by dynamically configuring some of the auction parameter...

When modeling student learning, tutors that use the Knowledge Tracing framework often assume that all students have the same set of model parameters. We find that when fitting parameters to individual students, there is significant variation among the individual’s parameters. We examine if this variation is important in terms of instructional decisions by computing the difference in the expecte...