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A golden block based self-refining scheme for repetitive patterned wafer inspections
This paper presents a novel technique for detecting possible defects in two-dimensional wafer images with repetitive patterns using prior knowledge. It has a learning ability that is able to create a golden block database from the wafer image itself, modify and refine its content when used in further inspections. The extracted building block is stored as a golden block for the detected pattern. When new wafer images with the same periodical pattern arrives, we do not have to re-calculate its periods and building block. A new building block can be derived directly from the existing golden block after eliminating alignment differences. If the newly derived building block has better quality than the stored golden block, then the golden block is replaced with the new building block. With the proposed algorithm, our implementation shows that a significant amount of processing time is saved. And the storage overhead of golden templates is also reduced significantly by storing golden blocks only
50 Years After the War on Poverty: Successes Should Inspire the Next Bold Steps for Poor Children
Safety net programs emerging from the War on Poverty and later antipoverty efforts such as Head Start, Medicaid, the Earned Income Tax Credit (EITC), and the Supplemental Nutrition Assistance Program (SNAP), among others have reduced poverty, and strengthened longer-term outcomes for poor children, leading to better health and greater economic success into adulthood. Unfortunately, despite the strong positive effect of these public programs, the poverty rate is still too high, particularly among America’s next generation of children and young adults. Struggling with economic insecurity is now a typical experience for America’s next generation, with the overwhelming majority of low-income households with children consisting of at least one working adult. For many families, work is not enough to keep them out of poverty, especially due to decades of shrinking wages, lack of affordable child care, and too few opportunities to move up to a better job with higher wages. Even with modest assistance from public programs, millions of families still struggle with economic insecurity. We need to build on the success of the War on Poverty and target the new problems created by the low-wage labor market
PASTA OR PARADIGM: THE PLACE OF ITALIAN-AMERICAN WOMEN IN POPULAR FILM
The year is 1930, the film is Little Caesar, and Hollywood begins its long and often irresponsible tradition of portraying the Italian-American male as gangster, thug, sociopath. The gangster genre has traditionally focused on male activities--men in groups, their rites of passage into underworld manhood, and their perverted American dreams of success achieved through community extortion, syndicated corruption, and blood murder. But hidden in the story of Caesar Enrico Bandello, who has justifiably been called our archetypal film gangster, we also discover fragmentary, but important, early portrayals of the Italian woman in America
Slant and semi-slant submanifolds in metallic Riemannian manifolds
The aim of our paper is to focus on some properties of slant and semi-slant
submanifolds of metallic Riemannian manifolds. We give some characterizations
for submanifolds to be slant or semi-slant submanifolds in metallic or Golden
Riemannian manifolds and we obtain integrability conditions for the
distributions involved in the semi-slant submanifolds of Riemannian manifolds
endowed with metallic or Golden Riemannian structures. Examples of semi-slant
submanifolds of the metallic and Golden Riemannian manifolds are given
Beyond the golden run : evaluating the use of reference run models in fault injection analysis
Fault injection (FI) has been shown to be an effective approach to assess- ing the dependability of software systems. To determine the impact of faults injected during FI, a given oracle is needed. This oracle can take a variety of forms, however prominent oracles include (i) specifications, (ii) error detection mechanisms and (iii) golden runs. Focusing on golden runs, in this paper we show that there are classes of software which a golden run based approach can not be used to analyse. Specifically we demonstrate that a golden run based approach can not be used when analysing systems which employ a main control loop with an irregular period. Further, we show how a simple model, which has been refined using FI, can be employed as an oracle in the analysis of such a system
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