Volume Modeling for Rapid Prototyping

The expanding workspace of Rapid Prototyping will draw on the new developments in geometric modeling. Volume modeling has substantial advantages over other modeling schemes to meet the emerging requirements of Rapid Prototyping technology. It provides us with a new approach to design complex geometry and topology. The integration of the volume modeling and Rapid Prototyping technology will help us to fully exploit RP's ability to fabricate objects with complex structures. This paper addresses our research and practice in a volume modeling system toward Rapid Prototyping. Novel techniques in volumetric data manipulation, NURBS volume models and triangular facet generation over solid models are presented. Computer models designed by this system and their corresponding DTM products are also shown atthe end of this paper.Mechanical Engineerin

Electromagnetic Form Factors of Nucleons in a Light-cone Diquark Model

We investigate the electromagnetic form factors of nucleons within a simple relativistic quark spectator-diquark model using the light-cone formalism. Melosh rotations are applied to both quark and vector diquark. It is shown that the difference between vector and scalar spectator diquarks reproduces the right electric form factor of neutrons, and both the form factors $G_E(Q^2)$ and $G_M(Q^2)$ of the proton and neutron agree with experimental data well up to $Q^2=2 ~\rm{GeV}^2$ in this simple model.Comment: 16 pages, Revtex4, minor changes, to appear in Phys. Rev.

Density Matching for Bilingual Word Embedding

Recent approaches to cross-lingual word embedding have generally been based on linear transformations between the sets of embedding vectors in the two languages. In this paper, we propose an approach that instead expresses the two monolingual embedding spaces as probability densities defined by a Gaussian mixture model, and matches the two densities using a method called normalizing flow. The method requires no explicit supervision, and can be learned with only a seed dictionary of words that have identical strings. We argue that this formulation has several intuitively attractive properties, particularly with the respect to improving robustness and generalization to mappings between difficult language pairs or word pairs. On a benchmark data set of bilingual lexicon induction and cross-lingual word similarity, our approach can achieve competitive or superior performance compared to state-of-the-art published results, with particularly strong results being found on etymologically distant and/or morphologically rich languages.Comment: Accepted by NAACL-HLT 201

An Examination of female poker players

MSN Encarta defines gambling as the wager “of money or other items of value on an uncertain event, dependent either wholly or in part on chance.” The major types of gambling are lotteries, sports betting including horse racing, and casino games including slot machines and table games (2007). A look at PokerUK.com’s Famous Gamblers of the 18th century to present shows thirteen men and zero women (2007). This gender division has experienced a recent change. In 1999, CNN.com reported that women who gambled increased 20% between 1994 and 1998. This figure doubled the percentage growth for male gamblers. The e-Commerce Online Gaming Regulation and Assurance organization polled 11,000 online gamblers from 96 countries and found that the average online casino player is 54.8% likely to be female (“Biggest-ever study,” 2007). This trend is mirrored by an influx of women’s gambling websites and the creation of the ladies’ events World’s Series of Poker