6,222 research outputs found
Projections for Neutral Di-Boson and Di-Higgs Interactions at FCC-he Collider
As a high energy e-p collider, FCC-he, has been recently proposed with
sufficient energy options to investigate Higgs couplings. To analyse the
sensitivity on the Higgs boson couplings, we focus spesifically on the CP-even
and CP-odd Wilson coefficients with and four-point
interactions of Higgs boson with Effective Lagrangian Model through the process
. We simulate the related processes in FCC-he, with 60 GeV
and 120 GeV beams and 50 TeV proton beam collisions. We present the
exclusion limits on these couplings both for 68% and 95% C.L. in terms of
integrated luminosities.Comment: 18 pages, 20 figures, 3 table
Special Issue on dynamic textures in video
Cataloged from PDF version of article
Moving Shadow Detection in Video Using Cepstrum
Cataloged from PDF version of article.Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum-based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made
Separating the scales in a compressible interstellar medium
We apply Gaussian smoothing to obtain mean density, velocity, magnetic and
energy density fields in simulations of the interstellar medium based on
three-dimensional magnetohydrodynamic equations in a shearing box
in size. Unlike alternative averaging procedures,
such as horizontal averaging, Gaussian smoothing retains the three-dimensional
structure of the mean fields. Although Gaussian smoothing does not obey the
Reynolds rules of averaging, physically meaningful central statistical moments
are defined as suggested by Germano (1992). We discuss methods to identify an
optimal smoothing scale and the effects of this choice on the results.
From spectral analysis of the magnetic, density and velocity fields, we find a
suitable smoothing length for all three fields, of . We discuss the properties of third-order statistical moments in
fluctuations of kinetic energy density in compressible flows and suggest their
physical interpretation. The mean magnetic field, amplified by a mean-field
dynamo, significantly alters the distribution of kinetic energy in space and
between scales, reducing the magnitude of kinetic energy at intermediate
scales. This intermediate-scale kinetic energy is a useful diagnostic of the
importance of SN-driven outflows
Teager energy based feature parameters for speech recognition in car noise
Cataloged from PDF version of article.In this letter, a new set of speech feature parameters
based on multirate signal processing and the Teager energy
operator is introduced. The speech signal is first divided into
nonuniform subbands in mel-scale using a multirate filterbank,
then the Teager energies of the subsignals are estimated. Finally,
the feature vector is constructed by log-compression and inverse
discrete cosine transform (DCT) computation. The new feature
parameters have robust speech recognition performance in the
presence of car engine noise
Equivalent Source Method Applied to Launch Acoustic Simulations
Aeroacoustic simulations of the launch environment are described. A hybrid computational fluid dynamics (CFD)/computational aeroacoustic (CAA) approach is developed in order to accurately and efficiently predict the sound pressure level spectrum on the launch vehicle and surrounding structures. The high-fidelity CFD code LAVA (Launch Ascent and Vehicle Analysis), is used to generate pressure time history at select locations in the flow field. A 3D exterior Helmholtz solver is then used to iteratively determine a set of monopole sources which mimic the noise generating mechanisms identified by the CFD solver. The acoustic pressure field generated from the Helmholtz solver is then used to evaluate the sound pressure levels
Adaptive Immersed Boundary Simulations for the Launch Environment
A high-fidelity computational fluid dynamics simulation of a next generation heavy lift space vehicle during launch is presented. The purpose of the simulation is to evaluate the acoustic overpressures during ignition to permit re-design of the launch site to safely handle heavy lift vehicles. The simulation is performed using the Launch, Ascent, and Vehicle Aerodynamics (LAVA) code, an immersed boundary block-structured Cartesian adaptive mesh refinement based solver. A verification and validation study of LAVA in the launch environment context is also performed, comparing to flight data and previous simulations of a Space Shuttle launc
Solving Fluid Structure Interaction Problems with an Immersed Boundary Method
An immersed boundary method for the compressible Navier-Stokes equations can be used for moving boundary problems as well as fully coupled fluid-structure interaction is presented. The underlying Cartesian immersed boundary method of the Launch Ascent and Vehicle Aerodynamics (LAVA) framework, based on the locally stabilized immersed boundary method previously presented by the authors, is extended to account for unsteady boundary motion and coupled to linear and geometrically nonlinear structural finite element solvers. The approach is validated for moving boundary problems with prescribed body motion and fully coupled fluid structure interaction problems. Keywords: Immersed Boundary Method, Higher-Order Finite Difference Method, Fluid Structure Interaction
Multiple-micronutrient supplementation: Evidence from large-scale prenatal programmes on coverage, compliance and impact
Micronutrient deficiencies during pregnancy pose important challenges for public-health, given the potential adverse outcomes not only during pregnancy but across the life-course. Provision of iron-folic acid (IFA) supplements is the strategy most commonly practiced and recommended globally. How to successfully implement IFA and multiple micronutrient supplementation interventions among pregnant women and to achieve sustainable/permanent solutions to prenatal micronutrient deficiencies remain unresolved issues in many countries. This paper aims to analyse available experiences of prenatal IFA and multiple micronutrient interventions to distil learning for their effective planning and large-scale implementation. Relevant articles and programme-documentation were comprehensively identified from electronic databases, websites of major-agencies and through hand-searching of relevant documents. Retrieved documents were screened and potentially relevant reports were critically examined by the authors with the aim of identifying a set of case studies reflecting regional variation, a mix of implementation successes and failures, and a mix of programmes and large-scale experimental studies. Information on implementation, coverage, compliance, and impact was extracted from reports of large-scale interventions in Central America, Southeast Asia, South Asia, and Sub-Saharan Africa. The WHO/CDC Logic-Model for Micronutrient Interventions in Public Health was used as an organizing framework for analysing and presenting the evidence. Our findings suggest that to successfully implement supplementation interventions and achieve sustainable-permanent solutions efforts must focus on factors and processes related to quality, cost-effectiveness, coverage, utilization, demand, outcomes, impacts, and sustainability of programmes including strategic analysis, management, collaborations to pilot a project, and careful monitoring, midcourse corrections, supervision and logistical-support to gradually scaling it up
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