The conventional shape-from-focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a scheme for SFF based on representation of three-dimensional (3-D) FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.

The design and implementation of a feature-based software system for the Solid Freeform Fabrication (SFF) process is discussed. For the SFF process to be an effective design tool in a manufacturing system, the tight integration of the process into a feature-based CAD system is desired. A feature set for determining the optimal part orientation is identified, and the procedure is described.

We numerically study the evolution of spectral correlations in entanglement Hamiltonian (EH) non-interacting fermions Aubry-Andr\'e-Harper (AAH) model. analyze time EH spectrum a nonequilibrium setting by studying several quantities: distribution, level statistics, entropy, and form factor (SFF) context delocalization-localization transition AAH It is observed that SFF delocalized phase at phas...

In an initial study it was shown that (without hormonal influences) middle-aged (premenopausal) women show a smaller frequency and intensity range and a lower fundamental frequency of the voice compared to young women. To investigate the impact of menopause on voice and nasal resonance a cross-sectional non-randomized study design was used. Vocal characteristics and nasal resonance in premenopa...

Bursts are produced by closing the oral tract at a place of articulation and suddenly releasing the acoustic energy built-up behind the closure in the tract. The release of energy is an impulselike behavior, and it is followed by a short duration of frication. The burst release is short and mostly weak in nature (compared to sonorant sounds), thus making it difficult to detect its presence in c...

Shape From Focus (SFF) is a popular technique in the field of computer vision for scene reconstruction. The SFF technique is based on the fact that the focus levels of the pixels of the image preserves depth information. Conventionally SFF is implemented using telecentric lenses which avoid parallax effects, when there is a relative motion between the camera and the scene. This becomes the chie...

The conventional shape-from-focus (SFF) methods have inaccuracies because of piecewise constant approximation of the focused image surface (FIS). We propose a scheme for SFF based on representation of three-dimensional (3-D) FIS in terms of neural network weights. The neural networks are trained to learn the shape of the FIS that maximizes the focus measure.

Recent observations of excited CO emission lines from z ∼ 2 disc galaxies have shed light on the SFR ∝ ρN relation at high z via observed SFR– COJ=2−1 and SFR– COJ=3−2 relations. Here, we describe a novel methodology for utilizing these observations of high-excitation CO to derive the underlying Schmidt (SFR∝ ρN) relationship. To do this requires an understanding of the potential effects of dif...

The input to the freeform fabrication process is essentially geometric data, raw material, material data and process parameters. Optimal process parameters depend upon current material and the part geometry. This paper describes an research approach in which all necessary input including process parameters are obtained or derived from the product model. The part geometry with its process parame...