This paper proposes an approach for solving the parameter determination problem for a stereoscopic panorama camera. Image acquisition parameters have to be calculated under given constraints defined by application requirements, the image acquisition model, and specifications of the targeted 3D scenes. Previous studies on stereoscopic panorama imaging, such as [IYT92, MB95b, WHK99b, PPB00, SKS99...

A factorial analysis was performed to assess the sen­ sitivity of Foschi’s nonlinear structural truss plate per­ formance parameters to parameter determination meth­ ods. The factors considered were treatment of asymmet­ ric failures of joints, the end of the data, and constraints placed on the asymptotic slope parameter M1. Results suggest that the parameter values are sensitive to the end of ...

Sequential injection systems for wine analysis have been developed in recent years for determination of more than 20 species. Several aspects of these systems are reviewed in the present paper. Special focus is given to implementation of in-line sample treatment and adaptation of system operation through software control to enable determination in different types of wine. The strategies used to...

Expounded are the parameter measurement for narrow resonance and determination of corresponding luminosity at e + e − collider. The detailed theoretical formulas are compiled and the crucial experimental effects on observed cross section are taken into account. For luminosity determination, the iteration method is put forth which is mainly used to separate the interference effect between resona...

abstract in recent years, many researchers have attempted to estimate the soil hydraulic functions (e.g. soil moisture characteristics curve, and hydraulic conductivity function) using particle-size distribution (psd) curve. in these studies, an accurate mathematical representation of psd is required for fitting the observed data. so far, some mathematical models were developed with different l...

Probabilistic Neural Network has received considerable attention nowadays and obtained many successful application. This type of neural system has shown marvelous higher recognition capability compare with that of Back-Propagation neural system. However, this neural has shown some drawbacks, especially on determining the value of its smoothing parameter and its neural structure optimization whe...

We demonstrate how the interplay of a future e+e− LC at its first stage with √ s ∼ 500 GeV and of the LHC could lead to a precise determination of the fundamental SUSY parameters in the gaugino/higgsino sector without assuming a specific supersymmetry breaking scheme. We demonstrate this for the benchmark scenario SPS1a, taking into account realistic errors for the masses and cross sections mea...

We present a determination of the QCD parameter Λ in the quenched approximation (nf = 0) and for two flavours (nf = 2) of light dynamical quarks. The calculations are performed on the lattice using O(a) improved Wilson fermions and include taking the continuum limit. We find Λ nf=0 = 259(1)(20)MeV and Λ nf=2 = 261(17)(26)MeV, using r0 = 0.467 fm to set the scale. Extrapolating our results to fi...