Howard E Sachar, Age 77161 Libertyville Rd, New Paltz, NY 12561

6571239, May 27, 2003

Jan 31, 2000

09/463825

Alan George Cole - Katonah NY
Yael Ravin - Mount Kisco NY
Howard Edward Sachar - Mount Kisco NY

International Business Machines Corporation - Armonk NY

G06F 1730

707 5, 707 3

This invention provides methods, apparatus, system, and article of manufacture which solve the problem of mismatch between the keywords employed by a user in making a query and those assigned by the manual or automatic classification system stored in the systems keyword index. The system records the initial keyword(s) input by the user and holds them until the user is either satisfied or gives up. If in a query session the user is satisfied with the object(s) retrieved from the repository, the system associates the initial keywords(s) with the retrieved object(s). This facilitates the objects retrieval by the same user or subsequent users who input the same keywords. The keyword index is modified directly when, for example, a single service or application controls the interaction between user and repository, end to end.

6614348, Sep 2, 2003

Mar 23, 2001

09/814785

Arthur C. Ciccolo - Ridgefield CT
Phillip Hobbs - Briarcliff Manor NY
John D. Mackay - Sleepy Hollow NY
Howard E. Sachar - Mount Kisco NY

International Business Machines Corporation - Armonk NY

G08B 1300

340541, 340565, 3405734

A system and method for monitoring behavior patterns which effectively distinguishes between alarming and non-alarming behavior patterns, includes at least one sensor for detecting behavior patterns, a memory device coupled to the sensor, for storing standard behavior patterns, and a processor, coupled to the memory device, for comparing standard behavior patterns with detected behavior patterns, and causing a response to be activated when standard behavior patterns and detected behavior patterns have a predetermined relationship.

7983468, Jul 19, 2011

Feb 9, 2005

11/053681

Tayo Ibikunle - Wynnewood PA, US
Ehud Karnin - Koranit, IL
William A. Liberis - Stamford CT, US
Tomasz J. Nowicki - Briarcliff Manor NY, US
Michael J. Reilly - Dublin, IR
Howard E. Sachar - Mount Kisco NY, US
Charles P. Tresser - New York NY, US
Eugene Walach - Haifa, IL
David A. Weeshoff - La Crescenta CA, US

JP Morgan Chase Bank - New York NY
International Business Machines Corporation - Armonk NY

G06K 9/00

382137, 235379, 382190, 382218, 705 45, 705 75, 715251

A method (and system) for extracting information from a document, includes segregating a set of documents from a plurality of documents based on a likelihood that at least one document in the set of documents carries an instance of a preset information.

8118216, Feb 21, 2012

Oct 30, 2007

11/927977

Robert Hoch - Wilton CT, US
Tayo Ibikunle - Wynnewood PA, US
Ehud Kamin - Koranit, IL
William A. Liberis - Stamford CT, US
Tomasz J. Nowicki - Briarcliff Manor NY, US
Michael J. Reilly - Malahide, IE
Howard E. Sachar - Mount Kisco NY, US
Charles P. Tresser - New York NY, US
Eugene Walach - Haifa, IL

JP Morgan Chase Bank - New York NY
International Business Machines Corporation - Armonk NY

G06Q 40/00

235379, 235380, 382135, 382137, 705 45

A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

8260189, Sep 4, 2012

Jan 3, 2007

11/619369

Timothy Chainer - Putnam Valley NY, US
Tomasz J. Nowicki - Briarcliff Manor NY, US
Howard Sachar - Mount Kisco NY, US
Charles P. Tresser - Nice, FR

International Business Machines Corporation - Armonk NY

G09B 3/00

434350

An entertainment system using bio-response includes a narrative, which includes a plurality of narrative segments assembled into at least one of a plurality of sequences, depending on at least one of a user profile and user bio-response, to create a plurality of cogent narratives.

7360686, Apr 22, 2008

May 11, 2005

11/126211

Robert Hoch - Wilton CT, US
Tayo Ibikunle - Wynnewood PA, US
Ehud Karnin - Koranit, IL
William A. Liberis - Stamford CT, US
Tomasz J. Nowicki - Briarcliff Manor NY, US
Micheal J. Reilly - Malahide, IE
Howard E. Sachar - Mount Kisco NY, US
Charles P. Tresser - New York NY, US
Eugene Walach - Haifa, IL

JP Morgan Chase Bank - New York NY
International Business Machines Corporation - Armonk NY

G06Q 40/00
G06K 9/00

235379, 235380, 382135, 382137, 705 45

A method (and system) of discovering a significant subset in a collection of documents, includes identifying a set of documents from a plurality of documents based on a likelihood that documents in the set of documents carries an instance of information that is characteristic to the documents in the set of documents.

2002014, Oct 10, 2002

Apr 5, 2001

09/825879

Daniel Connors - Wappingers Falls NY, US
John Mackay - Sleepy Hollow NY, US
Howard Sachar - Mount Kisco NY, US

G06F017/60

705/001000

A system restocking and repricing merchandise includes a shelf label holder having an illuminating function, and a hand-held unit which remotely causes the shelf label holder to illuminate under predetermined conditions. The system may also include a host controller for directing the operation of the hand held unit and shelf label holder.

4594655, Jun 10, 1986

Mar 14, 1983

6/475286

Hsieh T. Hao - Chappaqua NY
Huei Ling - Chappaqua NY
Howard E. Sachar - New Paltz NY
Jeffrey Weiss - Providence RI
Yannis J. Yamour - New York NY

International Business Machines Corporation - Armonk NY

G06F 700
G06F 742

364200

Equipping a secondary data flow facility with additional capability, to emulate for certain operations the simultaneous processing of the prerequisite instruction and the dependent instruction, significantly improves simultaneous pipeline processing of inherently sequential instructions (k)-at-a-time, by eliminating delays for calculating prerequisite operands. For example, Instruction A+B=Z1 followed by Instruction Z1+C=Z2 is inherently sequential, with A+B=Z1 the prerequisite instruction and Z1+C=Z2 the dependent instruction. The specially equipped secondary data flow facility does not wait for Z1, the apparent input operand from the prerequisite instruction; it simulates Z1 instead, performing A+B+C=Z2 in parallel with A+B=Z1. All data flow facilities need not be fully equipped for all instructions; the secondary data flow facility may be generally less massive than a primary data flow facility, but is more sophisticated in a critical organ, such as the adder. The three-input adder of the secondary data flow facility emulates the result of a two-input adder of a primary data flow facility, occuring simultaneously in the two-input primary data flow facility adder, adding the third operand to the emulated result, without delay.