Search results for "channel"
showing 10 items of 1643 documents
Snowmass Neutrino Frontier: Neutrino Interaction Cross Sections (NF06) Topical Group Report
2022
A thorough understanding of neutrino cross sections in a wide range of energies is crucial for the successful execution of the entire neutrino physics program. In order to extract neutrino properties, long-baseline experiments need an accurate determination of neutrino cross sections within their detector(s). Since very few of the needed neutrino cross sections across the energy spectrum are directly measured, we emphasize the need for theoretical input and indirect measurements such as electron scattering, which would complement direct measurements. In this report we briefly summarize the current status of our knowledge of the neutrino cross sections and articulate needs of the experiments…
Joint local quantization and linear cooperation in spectrum sensing for cognitive radio networks
2014
—In designing cognitive radio networks (CRNs), protecting the license holders from harmful interference while maintaining acceptable quality-of-service (QoS) levels for the secondary users is a challenge effectively mitigated by cooperative spectrum sensing schemes. In this paper, cooperative spectrum sensing in CRNs is studied as a three-phase process composed of local sensing, reporting, and decision/data fusion. Then, a significant tradeoff in designing the reporting phase, i.e., the effect of the number of bits used in local sensing quantization on the overall sensing performance is identified and formulated. In addition, a novel approach is proposed to jointly optimize the linear soft-…
Seizure Prediction Using EEG Channel Selection Method
2022
Seizure prediction using intracranial electroencephalogram (iEEG) is still challenging because of complicated signals in spatial and time domains. Feature selection in the spatial domain (i.e., channel selection) has been largely ignored in this field. Hence, in this paper, a novel approach of iEEG channel selection strategy combined with one-dimensional convolutional neural networks (1D-CNN) was presented for seizure prediction. First, 15-sec and 30-sec iEEG segments with an increasing number of channels (from one channel to all channels) were sequentially fed into 1D-CNN models for training and testing. Then, the channel case with the best classification rate was selected for each partici…
An Experiment with Facebook as an Advertising Channel for Books and Audiobooks
2016
The paper addresses the problem of using social media to promote innovative products available in online stores. Motivated by the fast development of the audiobook market, on the one hand, and the efficiency of social media marketing, on the other hand, we conducted an experiment with a marketing campaign of books and audiobooks on the most popular social networking site, Facebook, and discussed it in the paper. The goal of the experiment was exploring possible differences in FB users’ reaction to FB advertisements of traditional books and audiobooks. The experiment was implemented by using a real Facebook fanpage of a Polish publishing house having its own online bookstore. Results show so…
Application of the DORA 2D Model to some sicilian catchments
2005
ANALYSIS OF THE RELATION BETWEEN THE FLOW “HORIZONTAL” TURBULENCE AND THE BED DEFORMATION
2006
Flow and turbulence characteristics in a vegetated straigth flume
2007
Computation of flow velocity in gravel bed channels
2002
Accurate estimate of flow-velocity profile is of crucial importance both for scientific purposes and for solving numerous engineering problems that include, among others, sediment transport, contaminant transport, flow resistance evaluation. This paper presents a new empirical equation to represent the vertical velocity profile. The proposed equation is essentially a modified form of the well-known logarithm law of the wall and contains three parameters having a clear physical meaning. The applicability of the equation and its accuracy assessment for different hydraulic conditions, including non-uniform conditions, is verified by using experimental data obtained by different sources. The va…