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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
and of the proton and neutron agree with experimental data well up
to 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
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