A statistical metrology framework is used to identify systematic and random sources of interconnect structure (ILD thickness) variation. Electrical and physical measurements, TCAD simulations, design of experiments, signal processing, and statistical analysis are integrated via statistical metrology to deconvolve ILD thickness variation into constituent variation sources. In this way, insight i...

Correspondence to: Mohammad Amani Tehran email: [email protected] ABSTRACT In this study, color coordinates variation of spundyed polyester filament yarns subjected to the false twist texturing process was investigated. Furthermore, the effect of different processing parameters including D/Y ratio, twist, heater temperature, texturing speed, overfeed, the draw ratio and intermingling process on t...

New Approximations of the Total Variation and Filters in Image Processing

Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A binary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two i...

We characterized the variable processing of the G protein subunit isoforms associated with bovine brain G proteins, a primary mediator of cellular communication. G subunits were isolated from purified brain G proteins and characterized by Edman sequencing, by MALDI MS, by chemical and/or enzymatic fragmentation assayed by MALDI MS, and by MS/MS fragmentation and sequencing. Multiple forms of si...

A key problem for neuronal information processing is the variability of spike trains, something that is likely to constrain the encoding of sensory signals. We measured interspike-interval variability (coefficient of variation) as well as spike-count variability (Fano factor) in the metathoracic auditory system of locusts. We performed simultaneous intracellular recordings at the first three pr...

The effects of different image pre-processing methods for document image binarization are explored. They are compared on five different binarization methods on images with bleed through and stains as well as on images with uniform background speckle. The binarization method is significant in the binarization accuracy, but the pre-processing also plays a significant role. The Total Variation met...

due to variation in economic value of different varieties of rice, reports indicating the possibility of mixing different varieties on the market. applying image processing and neural networks techniques to classify rice varieties is a method which can increase the accuracy of the classification process in real applications. in this study, several morphological features of rice seeds’ images we...