The laser-produced plasma is a compact and relatively inexpensive soft x-ray and extremeultraviolet (EUV) source. In this paper we describe a xenon liquid-jet laser-plasma source suitable for EUV lithography and proximity x-ray lithography (PXL). This specific source combines the advantages of the microscopic-liquid-jet target method and inert-gas, high-Z target material. EUV lithography at A ~...

Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover decision tables that are overall less complex than the initial one, potentially easier to interpret, and introduce new and meaningful intermediate concepts. Since an exhaustive search for an optimal hierarchy of decisio...

Attempt 3 questions. (If you attempt more, only the best 3 will be counted.) All questions carry the same number of marks. Unless otherwise stated, all groups are compact (or finite), and all representations are of finite degree over C. 1. Define a group representation. What is meant by saying that a representation α is simple? Determine all simple representations of S 3. from first principles....

As classes of AND-EXOR expressions, PPRMs, FPRMs, and ESOPs are well-known. In this paper, a new class of AND-EXOR expressions, Double Fixed-Polarity Reed-Muller Expressions (DFPRMs), is proposed. DFPRMs are generalized expressions of FPRMs, and can be the smallest PLA among all the classes of AND-EXOR expressions. We discuss their properties: the relation to other classes, a compact realizatio...

An X-ray based system for the inspection of wheat kernels for internal insect infestation is presented. The novelty of this system is twofold. First, we construct an invariant representation of infested wheat kernels from X-ray images that is rich, robust , and compact. This is accomplished by linking the troughs on the image and constructing a joint curvature-proximity distribution table for e...

During the last decades, the production enterprises have gone through a strong global change in terms of shorter product life cycles, fluctuations in the order income and increased demand of customized products. Basically, a company needs to develop appealing products in terms of cost and quality that are brought to the market in timely manner. As many studies show that over 70% of the total li...

We consider the problem of organizing address tables for internet routers to enable fast searching. Our proposal is to to build an efficient, compact and easily searchable implementation of an IP routing table by using an LC-trie, a trie structure with combined path and level compression. The depth of this structure increases very slowly as function of the number of entries in the table. A node...

Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover decision tables that are overall less complex than the initial one, potentially easier to interpret, and introduce new and meaningful intermediate concepts. Since an exhaustive search for an optimal hierarchy of decisio...

A real-time, compact architecture is presented for translation-invariant windowed nonlinear discrete operators represented in computational mathematical morphology. The architecture enables output values to be computed in a fixed number of operations and thus can be pipelined. Memory requirements for an operator are proportional to its basis size. An operator is implemented by three steps: 1) e...

Data augmentation priors facilitate contextual evaluation of prior distributions and the generation of Bayesian outputs from frequentist software. Previous papers have presented approximate Bayesian methods using 2x2 tables of 'prior data' to represent lognormal relative-risk priors in stratified and regression analyses. The present paper describes extensions that use the tables to represent ge...