Association Rule Mining means discovering interesting patterns with in large databases. Association rules are used in many application areas such as market base analysis, web log analysis, protein substructures. Several post processing methods were developed to reduce the number of rules using nonredundant rules or pruning techniques such as pruning, summarizing, grouping or visualization based...

Extreme ultraviolet (EUV) lithography is a promising candidate for next-generation lithography. To achieve an 11-nm node, a six-mirror EUV projection objective with a numerical aperture (NA) of 0.5 is designed with the grouping design method. In this design, pupil obscuration is introduced to decrease the angular spread on the mirrors, which still makes the six-mirror objective with aspheric su...

Design rules are an essential interface to facilitate the information exchange between designers and experts. Despite many innovations in Knowledge-Based Engineering Knowledge Management, unstructured design documents still widely used manufacturing industry. Due complexity of process, these often contain hundreds rules, applicable varying contexts. Searching for right according a context is de...

The paper collects tools for estimating rotations. Starting from the classical representations with quaternions concatenation rules for the Rodriguez parameters are given. Direct estimates for mean rotations and for rotations from homologous spatial directions are given. Two robust estimation procedures are given for estimating the rotation matrix of a single camera from observed straight line ...

A W3C standard for processing RDF data is a SPARQL query language, a technique that is used to encode data in meaningful manner. We investigate the foundations of SPARQL query optimization by grouping into individual clusters using common substructures in the multiple SPARQL queries, propose a comprehensive set of query rewriting rules for the clustered group and finally Query execution provide...

Input Image 3.0 Model In this papel; we addres.\' a new algorithm for recognition and reconstrttction of 3-D polyhedral objects, based on perceptual grouping and graph search technique. Perceptl~l grouping is peiformed in a model-basedframework, in ~vhich decision tree classifier is employedfor learning and retrieving geometric information of the 3-D model object. On the other hand, in order to...

We propose a methodological approach to build strategies for grouping scenarios as defined by the type of scenario decomposition, type of grouping, and the measures specifying scenario similarity. We evaluate these strategies in the context of stochastic network design by analyzing the behavior and performance of a new progressive hedging-based meta-heuristic for stochastic network design that ...