Steven B De

US Patent:

8004775, Aug 23, 2011

Filed:

Jun 29, 2010

Appl. No.:

12/825482

Inventors:

Yei Wo - East Brunswick NJ, US
Steven A. De Chiaro - Freehold NJ, US

Assignee:

D&S Consultants, Inc. - Eatontown NJ

International Classification:

G02B 17/00

US Classification:

359727, 359730

Abstract:

Reflectors having concave reflecting surfaces (e. g. , parabolic reflectors) and electronically controlled beam steering elements are used for rapid, low-diversion, wide angle, and precision steering of optical beams, including laser beams.

US Patent:

8139294, Mar 20, 2012

Filed:

Jun 29, 2010

Appl. No.:

12/825457

Inventors:

Yei Wo - East Brunswick NJ, US
Steven A. De Chiaro - Freehold NJ, US

Assignee:

D & S Consulting, Inc. - Eatontown NJ

International Classification:

G02B 17/00

US Classification:

359727, 359730

Abstract:

Reflectors having concave reflecting surfaces (e. g. , parabolic reflectors) and electronically controlled beam steering elements are used for rapid, low-diversion, wide-angle and precision steering of optical beams, including laser beams.

US Patent:

52934519, Mar 8, 1994

Filed:

Oct 23, 1990

Appl. No.:

7/602020

Inventors:

Peter F. Brown - New York NY
Steven V. De Gennaro - Pawling NY
Peter V. Desouza - Mahopac Falls NY
Mark E. Epstein - Katonah NY

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G10L 904

US Classification:

395 254

Abstract:

A method and apparatus for modeling words based on match scores representing (a) the closeness of a match between probabilistic word models and the acoustic features of at least two utterances, and (b) the closeness of a match between word models and the spelling of the word. A match score is calculated for a selection set of one or more probabilistic word models. A match score is also calculated for an expansion set comprising the probabilistic word models in the selection set and one probabilistic word model from a candidate set. If the expansion set match score improves the selection set match score by a selected nonzero threshold value, the word is modelled with the word models in the expansion set. If the expansion set match score does not improve the selection set match score by the selected nonzero threshold value, the word is modelled with the words in the selection set.