Patents by Inventor Malgorzata M. Sturgill

Malgorzata M. Sturgill has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10572525
    Abstract: One example is a system including a plurality of summarization engines, an evaluator, and a selector. Each of the plurality of summarization engines receives content to provide a summary of the content. The evaluator determines a value of each summary for a selected task. The selector selects a summarization engine for the selected task based on the assessed value of each summary.
    Type: Grant
    Filed: April 22, 2014
    Date of Patent: February 25, 2020
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Malgorzata M Sturgill, Marie Vans, Leandro M Farinati
  • Patent number: 10482417
    Abstract: Examples disclosed herein relate to item identifier assignment. For example, a processor may create a mass serialization scheme to provide a list of item identifiers to allow a subset of the identifiers to be knocked out. Each item identifier may associated with multiple containers, and each container may include two item identifiers relating to the sequence of item identifiers included within the container.
    Type: Grant
    Filed: February 4, 2014
    Date of Patent: November 19, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, A. Marie Vans, Malgorzata M Sturgill, Mark Jacobsen, Mick Keyes
  • Patent number: 10394867
    Abstract: Functional summarization of non-textual content based on a meta-algorithmic pattern is disclosed. One example is a system including a converter, a plurality of summarization engines and/or meta-algorithmic patterns, an extractor, and an evaluator. The converter converts the non-textual content into a plurality of tokens. Combinations of summarization engines and/or meta-algorithm patterns are applied to the plurality of tokens to provide a meta-summary. The extractor extracts at least one summarization term from the meta-summary, and at least one class term for each given class of a plurality of classes of non-textual content. The evaluator determines similarity values of the non-textual content over each given class, each similarity value indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on the determined similarity values.
    Type: Grant
    Filed: June 11, 2014
    Date of Patent: August 27, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, A. Marie Vans, Malgorzata M Sturgill, Julie e Hurley
  • Patent number: 10366126
    Abstract: One example is a system including a plurality of combinations of summarization engines and/or meta-algorithmic patterns used to combine a plurality of summarizers, an extractor, an evaluator, and a selector. Each of the plurality of combinations of summarization engines and/or meta-algorithmic patterns receives content to provide a meta-summary of the content. The extractor generates a collection of search queries based on the content. The evaluator determines a similarity value of each combination of summarization engines and/or meta-algorithmic patterns for the collection of search queries. The selector selects an optimal combination of summarization engines and/or meta-algorithmic patterns based on the similarity value.
    Type: Grant
    Filed: May 28, 2014
    Date of Patent: July 30, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, A. Marie Vans, Malgorzata M Sturgill
  • Publication number: 20190116026
    Abstract: Examples associated with printer encryption are described. One example printer includes a data store to store a one-time pad. An encryption module may encrypt a message using the one-time pad. The encryption module also transmits the encrypted message to a trusted device that stores a copy of the one-time pad. A decryption module uses the one-time pad to decrypt a received message form the trusted device. The decryption module also controls the printer to perform an action based on the received message. A refresh module replaces the one-time pad during a service event.
    Type: Application
    Filed: September 9, 2016
    Publication date: April 18, 2019
    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
    Inventors: Steven J. SIMSKE, Malgorzata M. STURGILL, Cesare GRITTI, Shivaun ALBRIGHT
  • Patent number: 10216721
    Abstract: Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.
    Type: Grant
    Filed: September 30, 2014
    Date of Patent: February 26, 2019
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Marcelo Riss, Marie Vans, Malgorzata M Sturgill
  • Patent number: 9977987
    Abstract: A method and apparatus to select from an image (30) of a first sample (28), at least one region (44) digitally captured at a first resolution based upon how a counterfeit identification performance attribute of each region (44) digitally captured at the first resolution correlate to the counterfeit identification performance attribute of the region (44) digitally captured at a second resolution higher than the first resolution. The selected region (44) is used to determine whether the image (30) on a second sample is a counterfeit.
    Type: Grant
    Filed: October 3, 2011
    Date of Patent: May 22, 2018
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J. Simske, Malgorzata M. Sturgill, Matthew D. Gaubatz, Masoud Zavarehi, Paul S. Everest
  • Patent number: 9977829
    Abstract: A combinatorial summarizer includes a plurality of summarization engines, a processor in selective communication with each summarization engine, and computer readable instructions executable by the processor and embodied on a tangible, non-transitory computer readable medium. Each summarization engine is to select a respective plurality of sentences, and generate a relative rank and an associated weight for each sentence of the respective plurality of sentences. The computer readable instructions include instructions to determine a combined weight for each sentence of each respective plurality of sentences. The combined weight is based upon the respective associated weight and a respective relative human rank for each sentence in a set of sentences, including all sentences of each respective plurality of sentences.
    Type: Grant
    Filed: October 12, 2012
    Date of Patent: May 22, 2018
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Malgorzata M Sturgill
  • Patent number: 9978113
    Abstract: A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.
    Type: Grant
    Filed: June 13, 2016
    Date of Patent: May 22, 2018
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Malgorzata M. Sturgill, Steven J. Simske, Jason S. Aronoff, Marie Vans, Paul S. Everest
  • Publication number: 20170309194
    Abstract: Personalized learning based on functional summarization is disclosed. One example is a system including a content processor, a plurality of summarization engines, at least one meta-algorithmic pattern, an evaluator, and a selector. The content processor provides course material to be learned, the course material selected from a corpus of educational content, and identifies retained material indicative of a portion of the course material retained by user. Each of the plurality of summarization engines provides a differential summary indicative of differences between the course material and the retained material. The at least one meta-algorithmic pattern is applied to at least two differential summaries to provide a meta-summary using the at least two differential summaries. The evaluator determines a value of each differential summary and meta-summary.
    Type: Application
    Filed: September 25, 2014
    Publication date: October 26, 2017
    Inventors: Steve J. Simske, Marie Vans, Malgorzata M. Sturgill, Jason S. Aronoff, Georgia Koutrika
  • Publication number: 20170300471
    Abstract: Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.
    Type: Application
    Filed: September 30, 2014
    Publication date: October 19, 2017
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Marcelo Riss, Marie Vans, Malgorzata M. Sturgill
  • Publication number: 20170147570
    Abstract: One example is a system including a plurality of combinations of summarization engines and/or meta-algorithmic patterns used to combine a plurality of summarizers, an extractor, an evaluator, and a selector. Each of the plurality of combinations of summarization engines and/or meta-algorithmic patterns receives content to provide a meta-summary of the content. The extractor generates a collection of search queries based on the content. The evaluator determines a similarity value of each combination of summarization engines and/or meta-algorithmic patterns for the collection of search queries. The selector selects an optimal combination of summarization engines and/or meta-algorithmic patterns based on the similarity value.
    Type: Application
    Filed: May 28, 2014
    Publication date: May 25, 2017
    Inventors: Steven J Simske, Marie Vans, Malgorzata M Sturgill
  • Publication number: 20170132319
    Abstract: Functional summarization of non-textual content based on a meta-algorithmic pattern is disclosed. One example is a system including a converter, a plurality of summarization engines and/or meta-algorithmic patterns, an extractor, and an evaluator. The converter converts the non-textual content into a plurality of tokens. Combinations of summarization engines and/or meta-algorithm patterns are applied to the plurality of tokens to provide a meta-summary. The extractor extracts at least one summarization term from the meta-summary, and at least one class term for each given class of a plurality of classes of non-textual content. The evaluator determines similarity values of the non-textual content over each given class, each similarity value indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on the determined similarity values.
    Type: Application
    Filed: June 11, 2014
    Publication date: May 11, 2017
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Marie Vans, Malgorzata M Sturgill, Julie E Hurley
  • Publication number: 20170076251
    Abstract: Examples disclosed herein relate to item identifier assignment. For example, a processor may create a mass serialization scheme to provide a first of item identifiers to allow a subset of the identifiers to be knocked out. Each item identifier may associated with multiple containers, and each container may include two item identifiers relating to the sequence of item identifiers included within the container.
    Type: Application
    Filed: February 4, 2014
    Publication date: March 16, 2017
    Inventors: Steven J Simske, Marie Vans, Malgorzata M. Sturgill, Mark Jacobsen, Mick Kayes
  • Publication number: 20170053027
    Abstract: One example is a system including a plurality of summarization engines, an evaluator, and a selector. Each of the plurality of summarization engines receives content to provide a summary of the content. The evaluator determines a value of each summary for a selected task. The selector selects a summarization engine for the selected task based on the assessed value of each summary.
    Type: Application
    Filed: April 22, 2014
    Publication date: February 23, 2017
    Inventors: Steven J Simske, Malgorzata M Sturgill, Marie Vans, Lendro M Farinatt
  • Publication number: 20160342857
    Abstract: A method and apparatus to select from an image (30) of a first sample (28), at least one region (44) digitally captured at a first resolution based upon how a counterfeit identification performance attribute of each region (44) digitally captured at the first resolution correlate to the counterfeit identification performance attribute of the region (44) digitally captured at a second resolution higher than the first resolution.
    Type: Application
    Filed: October 3, 2011
    Publication date: November 24, 2016
    Inventors: Steven J. Simske, Malgorzata M. Sturgill, Matthew D. Gaubatz, Masoud Zavarehi, Paul S. Everest
  • Patent number: 9485222
    Abstract: Techniques related to data stream traffic control are disclosed herein. A bit equivalent entropy of an anonymized data stream is computed. Traffic of the data stream is controlled based on the value of the bit equivalent entropy.
    Type: Grant
    Filed: August 20, 2013
    Date of Patent: November 1, 2016
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Malgorzata M Sturgill, Steven J Simske
  • Publication number: 20160292809
    Abstract: A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.
    Type: Application
    Filed: June 13, 2016
    Publication date: October 6, 2016
    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
    Inventors: Malgorzata M. Sturgill, Steven J. Simske, Jason S. Aronoff, Marie Vans, Paul S. Everest
  • Patent number: 9424488
    Abstract: An image processing method includes applying a segmentation engine to different mappings of a digital image, and generating primitives by tessellating non-congruent segments of the different mappings, where the primitives are defined by boundaries of the non-congruent segments in the different mappings. The method further includes classifying the primitives. Classifying the primitives is accomplished by assessing, using a plurality of classifiers, a quality of each segment of each mapping, and assigning a classification to each primitive based upon the assessing. Each of applying, generating and classifying is performed by a processor programmed by machine memory encoded with data.
    Type: Grant
    Filed: June 14, 2007
    Date of Patent: August 23, 2016
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J. Simske, Malgorzata M. Sturgill
  • Patent number: 9378419
    Abstract: Methods, and apparatus for performing methods, for classifying an image. Methods include determining a corresponding set of metrics for each region of two or more regions of a pattern of regions of an image, and classifying the image in response to at least the corresponding set of metrics for each of the two or more regions of the pattern of regions.
    Type: Grant
    Filed: March 16, 2012
    Date of Patent: June 28, 2016
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Steven J Simske, Malgorzata M Sturgill, Matthew D Gaubatz, Masoud Zavarehi, Paul S Everest