Susan H Decker

US Patent:

48470767, Jul 11, 1989

Filed:

Aug 28, 1987

Appl. No.:

7/090732

Inventors:

Vikas M. Deshpande - Ringwood NJ
John M. Walts - Clark NJ
Susan A. Decker - Butler NJ

Assignee:

Sterling Drug Inc. - New York NY

International Classification:

A61K 709
A61K 711
A45D 704

US Classification:

424 71

Abstract:

A method for enhancing the body of hair comprising applying to the hair a composition comprising as essential ingredients in certain critical amounts an alkali metal or ammonium bisulfite, an alkanolamine, a guar hydroxypropyltrimonium chloride, a certain quaternary ammonium conditioner, an alkali metal or ammonium carbonate or an alkali metal phosphate when the bisulfite is alkali metal bisulfite and water; working the composition into the hair, lifting the hair with, e. g. , the finger tips, a hair pick or the tail of a comb, allowing the composition to remain in contact with the hair for about 20 to 30 minutes, rinsing the hair and drying the hair.

US Patent:

20180046610, Feb 15, 2018

Filed:

Oct 24, 2017

Appl. No.:

15/792450

Inventors:

- San Francisco CA, US
Susan Decker - San Francisco CA, US

International Classification:

G06F 17/27
G06N 5/02

Abstract:

A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

US Patent:

20170277676, Sep 28, 2017

Filed:

Mar 25, 2016

Appl. No.:

15/081590

Inventors:

- San Francisco CA, US
Susan Decker - San Francisco CA, US

Assignee:

TripleDip, LLC - San Francisco CA

International Classification:

G06F 17/27

Abstract:

A system and method for analyzing narrative data based on a functional ontology using semiotic square functions to produce analyzed data outputs. A computer implemented method accesses narrative data and reads a semiotic square function data table for each verb in the sequence of words, each semiotic square function data table classifies at least one verb in each sentence pattern as a functional type and includes one or more words in a semiotic square relationship to the verb classified, the functional type applying at least one symmetrical relationship between a first actor and a second actor in the narrative data. The method parses each sentence which includes a verb matching a functional type to match sentence subjects and objects to an event template and outputs an analysis of the narrative data relative to a common story theme based on a sequence of event records.

US Patent:

20170277779, Sep 28, 2017

Filed:

Mar 25, 2016

Appl. No.:

15/081596

Inventors:

- San Francisco CA, US
Susan Decker - San Francisco CA, US

Assignee:

TripleDip, LLC - San Francisco CA

International Classification:

G06F 17/30
G06F 17/27
G06N 5/02

Abstract:

A computer implemented method includes accessing narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method parses each sentence in a sentence pattern which includes a verb matching a functional type to extract sentence subjects and objects to an event template. The method then stores events in an event data store, each event including sentence data mapped to the event template to create an event record. The method further includes mapping event records to a story rule, each story rule including at least one actor and an action associated with the actor, and the mapping includes storing a story record including the event records organized by time. An output of an analysis of the story record occurs, where the analysis is based on a list of transgression actions and retribution actions, and balances the transgression actions and the retribution actions.

US Patent:

20170277782, Sep 28, 2017

Filed:

Mar 25, 2016

Appl. No.:

15/081606

Inventors:

- San Francisco CA, US
Susan Decker - San Francisco CA, US

Assignee:

TripleDip, LLC - San Francisco CA

International Classification:

G06F 17/30
G06F 17/27

Abstract:

A computer implemented method which accesses multiple sets of narrative data, each set of narrative data comprising event records mapped to one of a plurality of story rules to create a plurality of story event sequences based on the event records and the story rules. The method compares a first story event sequence and a second story event sequence. The comparison comprises a method for determining a taxonomical distance between elements of narrative data in one set of narrative data to a corresponding element of narrative data in another set of narrative data; and performing an optimal matching between events in two sets of narrative data. The method outputs a similarity result between the sets of narrative data.

US Patent:

20170277996, Sep 28, 2017

Filed:

Mar 25, 2016

Appl. No.:

15/081604

Inventors:

- San Francisco CA, US
Susan Decker - San Francisco CA, US

Assignee:

TripleDip, LLC - San Francisco CA

International Classification:

G06N 5/02
G06F 17/28
G06F 17/27

Abstract:

A computer implemented method predicting a next event in a sequence of events in a story narrative. The method reads narrative data, the narrative data comprising a sequence of words arranged in sentence patterns. The method extracts event records from the narrative data, the event records ordered to create a story. Mapping event records to a story rule is then performed to create a sequence of story events based on the event records and the story rule. The technology then outputs a first predictive event based on the sequence of story events, the predictive story event generated from at least one predictive method of a plurality of predictive methods. The outputting is repeated for a second predictive method of the plurality of predictive methods to produce a second predictive event.