A confidence interval is an interval (i.e., a range of values) estimate of a parameter of a population (e.g., a mean) calculated from a sample drawn from the population. A confidence interval has an associated confidence level, which is frequency with which a calculated confidence interval is expected to contain the population parameter. Confidence intervals are of interest in modeling and simu...

Robust parameter design (or, briefly, parameter design) has been widely used as a cost effective tool to reduce process variability by appropriate selection of control factors to make the process insensitive to noise. However, when there are strong noise factors in the process, use of parameter design alone may not be effective and an on-line control strategy can be used to compensate for the e...

indoor radon concentration (irc) is among the emerging environmental and health issues in republic of korea. due to lack of epidemiological studies and insufficient public awareness about radon, effective parameter ranking system is required to establish protocols for future field sampling and settlement construction. this research propose the irc parameter ranking system based on field measure...

We describe a functional method to obtain the exact evolution equation of the effective action with a parameter of the bare theory. When this parameter happens to be the bare mass of the scalar field, we find a functional generalization of the Callan-Symanzik equations. Another possibility is when this parameter is the Planck constant and controls the amplitude of the fluctuations. We show the ...

We explain a reparameterization invariance in the Standard Model Effective Field Theory present when considering ψ̄ψ → ψ̄ψ scatterings (with ψ a fermion) and how this leads to unconstrained combinations of Wilson coefficients in global data analyses restricted to these measurements. We develop a {m̂W , m̂Z , ĜF } input parameter scheme and compare results to the case when an input parameter set {α̂,...

In this paper we propose a method for implementing a high-level interface for the synthesis and animation of animated virtual faces that is in full compliance with MPEG-4 specifications. This method allows us to implement the Simple Facial Object profile and part of the Calibration Facial Object Profile. In fact, starting from a facial wire-frame and from a set of configuration files, the devel...

A g-element for a graded R-module is a one-form with properties similar to a Lefschetz class in the cohomology ring of a compact complex projective manifold, except that the induced multiplication maps are injections instead of bijections. We show that if k(∆) is the face ring of the independence complex of a matroid and the characteristic of k is zero, then there is a non-empty Zariski open su...

Using the “glueball dominance” picture of the mixing between qq̄ mesons of different hidden flavors, we establish new glueball-meson mass relations which serve as a basis for glueball spectral systematics. For the tensor glueball mass 2.3 ± 0.1 GeV used as an input parameter, these relations predict the following glueball masses: M(0) ≃ 1.65 ± 0.05 GeV, M(1) ≃ 3.2 ± 0.2 GeV, M(2) ≃ 2.95 ± 0.15 G...

This paper presents an automatic FDP (Facial Definition Parameters) and FAP (Facial Animation Parameters) generation method from an image sequence that captures a frontal face. The proposed method is based on facial feature tracking without markers on a face. We present an efficient method to extract 2D facial features and to generate the FDP by applying 2D features to a generic face model. We ...

A secret sharing scheme permits a secret to be shared among participants in such a way that only qualiied subsets of participants can recover the secret. If any non qualiied subset has absolutely no information about the secret, then the scheme is called perfect. Unfortunately, in this case the size of the shares cannot be less than the size of the secret. Krawczyk 9] showed how to improve this...