Patents by Inventor Brian R. Muras

Brian R. Muras 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).

  • Publication number: 20230370565
    Abstract: Disclosed aspects relate to visual image management associated with a set of visual images with respect to a set of computer users. A set of visual image features that relates to both the set of visual images and the set of computer users may be detected. Based on the set of visual image features that relates to both the set of visual images and the set of computer users, a set of display attributes may be determined to construct a presentation configuration associated with the set of visual images with respect to the set of computer users. The set of display attributes may be provided to construct the presentation configuration to display the set of visual images with respect to the set of computer users.
    Type: Application
    Filed: May 11, 2022
    Publication date: November 16, 2023
    Inventor: Brian R. Muras
  • Patent number: 11748232
    Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.
    Type: Grant
    Filed: September 7, 2021
    Date of Patent: September 5, 2023
    Assignee: UKG INC.
    Inventors: Brian R. Muras, Keith A. Briggs, David Adamo, John A. Maliani, Robert L. Vanderwall, Michael L. Mattera, Dionny Santiago, Tariq King
  • Patent number: 11704216
    Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: July 18, 2023
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Publication number: 20230132002
    Abstract: A system for providing intelligent part of speech processing of complex natural language is disclosed. The system identifies a multiword concept from an input and replaces the multiword concept with a token to be tagged as a desired part of speech. The system passes the modified text including the token to a part-of-speech tagger to tag each word in the text with the appropriate part-of-speech. The system may replace the token with the original text that the token was utilized to replace so that the original intent of the text is evident. The system may analyze the tagged text to generate analyses and interpretations associated with the input. When multiple multiword concepts are identified, the system may evaluate them by computing scores for each of the multiword concepts that may be replaced with tokens, for each of the modified texts including the tokens, or for any interpretations and analyses thereof.
    Type: Application
    Filed: December 23, 2022
    Publication date: April 27, 2023
    Applicant: UKG INC.
    Inventors: Michael L. MATTERA, John A. MALIANI, Robert L. VANDERWALL, Dionny SANTIAGO, Brian R. MURAS, Keith A. BRIGGS, David ADAMO, Tariq KING
  • Patent number: 11537793
    Abstract: A system for providing intelligent part of speech processing of complex natural language is disclosed. The system identifies a multiword concept from an input and replaces the multiword concept with a token to be tagged as a desired part of speech. The system passes the modified text including the token to a part-of-speech tagger to tag each word in the text with the appropriate part-of-speech. The system may replace the token with the original text that the token was utilized to replace so that the original intent of the text is evident. The system may analyze the tagged text to generate analyses and interpretations associated with the input. When multiple multiword concepts are identified, the system may evaluate them by computing scores for each of the multiword concepts that may be replaced with tokens, for each of the modified texts including the tokens, or for any interpretations and analyses thereof.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: December 27, 2022
    Assignee: UKG INC.
    Inventors: Michael L. Mattera, John A. Maliani, Robert L. Vanderwall, Dionny Santiago, Brian R. Muras, Keith A. Briggs, David Adamo, Tariq King
  • Patent number: 11487760
    Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.
    Type: Grant
    Filed: October 9, 2020
    Date of Patent: November 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras
  • Patent number: 11250002
    Abstract: A structured query language (SQL) query is configured to present a selected portion of a result set to a user interface. The selected portion of the result set can be based on an offset criteria appended to the SQL query. The offset criteria determines a location of a first presented instance of the selected portion of the result set. The offset criteria is configured to determine the location of the first presented instance of the selected portion of the result set independent of a number of instances appearing between a first instance of the result set and the first presented instance of the selected portion of the result set.
    Type: Grant
    Filed: July 19, 2019
    Date of Patent: February 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Publication number: 20220035728
    Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.
    Type: Application
    Filed: September 7, 2021
    Publication date: February 3, 2022
    Applicant: The Ultimate Software Group, Inc.
    Inventors: Brian R. Muras, Keith A. Briggs, David Adamo, John A. Maliani, Robert L. Vanderwall, Michael L. Mattera, Dionny Santiago, Tariq King
  • Patent number: 11238231
    Abstract: A computer-implemented method of establishing influence relationships between data in a question-answering environment is disclosed. Establishing influence relationships can include determining a set of conditions indicating a set of user statuses and analyzing, using a first natural language processing technique, a corpus of data including a set of user data. Establishing influence relationships between data can include identifying, based on analyzing the corpus of data, a set of influence factors corresponding to a subset of the set of user data and to a subset of the set of conditions. In embodiments, establishing influence relationships can include establishing, based on the set of influence factors, a set of influence relationships between the subset of the set of user data and the subset of the set of conditions.
    Type: Grant
    Filed: February 14, 2019
    Date of Patent: February 1, 2022
    Assignee: International Business Machines Corporation
    Inventors: David L. Johnson, Brian R. Muras, Daniel J. Strauss, Eric G. Thiemann
  • Patent number: 11176506
    Abstract: A blockchain configuration may require constant and large amounts of resources to maintain a growing structure. One example method of operation may include receiving blockchain transactions and creating a blockchain block, identifying miner devices to process the blockchain block, identifying expenses associated with each of the miner devices, selecting an optimal cost miner device among the miner devices based on the identified expenses associated with each of the miner devices, and assigning the optimal cost miner device to solve the blockchain block.
    Type: Grant
    Filed: October 14, 2016
    Date of Patent: November 16, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Patent number: 11163809
    Abstract: A method, system, and computer program product to manage a database is disclosed. The method, system, and computer program product may include structuring the database to have a first table having an index and a second table. A first key of the first table may be related to a second key of the second table. The method, system, and computer program product may include creating an entry locator in the index. The method, system, and computer program product may include maintaining an association between the second key of the second table and the entry locator of the index.
    Type: Grant
    Filed: June 10, 2019
    Date of Patent: November 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Mark W. Theuer
  • Patent number: 11132365
    Abstract: Disclosed aspects include the database management system detecting that a first data storage medium includes a first set of data of a database. The first data storage medium has a first access-factor. The database management system detects that a second data storage medium includes a second set of data of the database. The second data storage medium has a second access-factor which differs from the first access-factor. Based on a data storage relationship, the database management system determines a query plan to access both the first set of data with respect to the first data storage medium and the second set of data with respect to the second data storage medium. The database management system establishes the query plan.
    Type: Grant
    Filed: March 20, 2016
    Date of Patent: September 28, 2021
    Assignee: International Business Machines Corporation
    Inventors: Eric L. Barsness, Brian R. Muras, John M. Santosuosso
  • Patent number: 11113175
    Abstract: A system for discovering semantic relationships in computer programs is disclosed. In particular, the system may synergistically identify and validate semantic relationships, concepts, and groupings associated with data elements within a static or dynamic, time varying, source input. The system may utilize feature extractors to extract features from the input and reasoners to develop associations using data from multiple feature set types, and, can thus generate reliable, robust, and complete sets of semantic relationships from the input. The system may generate hypotheses associated with the relationships, concepts, and groupings, and validate the hypotheses by testing an application under evaluation by the system and observing the outputs generated from the testing.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: September 7, 2021
    Assignee: THE ULTIMATE SOFTWARE GROUP, INC.
    Inventors: David Adamo, John A. Maliani, Robert L. Vanderwall, Michael L. Mattera, Dionny Santiago, Brian R. Muras, Keith A. Briggs, Tariq King
  • Patent number: 11099960
    Abstract: Each of one or more commit cycles may be associated with a predicted number of updates. A statistics collection time for a database table can be determined by estimating a sum of predicted updates included in one or more commit cycles. Whether the estimated sum of predicted updates is greater than a first threshold may be determined. In addition, a progress point for a first one of the commit cycles can be determined. A time to collect statistics may be selected based on the progress point of the first commit cycle.
    Type: Grant
    Filed: May 23, 2019
    Date of Patent: August 24, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Patent number: 11042873
    Abstract: Systems and methods for providing automatic fork protection including determining that a transaction having fork protection was included in a first block that was appended to a blockchain, that a hash of the first block was validated, that a consensus decision was made by validator nodes approving the first block for addition to the blockchain, that a second block was appended to the blockchain after the first block, that the second block comprises a hash that is not based on the first block, that the first block was on a first fork and the second block was on a second fork, that the blockchain was resolved in favor of the second fork, and that the transaction failed as a result of the blockchain being resolved in favor of the second fork. The method including compensating a party that submitted the failed transaction based on the fork protection.
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: June 22, 2021
    Assignee: International Business Machines Corporation
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras, Chad A. Olstad
  • Patent number: 11010284
    Abstract: A system for understanding navigational semantics via hypothesis generation and contextual analysis is disclosed. The system may, such as when examining and testing a software application, address the handling and resolution of constraint hypotheses in an uncertain environment, where potentially overlapping or conflicting suggestions are generated with various confidences. The system may utilize algorithmic and/or machine learning tools to identify consistent constraints for the software application with the highest levels of confidence. During operation, the system may continuously perform hypothesis testing on constraints generated by the system, which may result in the creation of new hypotheses yielding improved confidences. Feedback from the hypothesis testing may be provided to knowledge sources to improve the processing of information subsequently processed by the system. The system may construct complex constraints on multiple fields or functional transitions with associated confidences.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: May 18, 2021
    Assignee: The Ultimate Software Group, Inc.
    Inventors: Dionny Santiago, John A. Maliani, Robert L. Vanderwall, Michael L. Mattera, Brian R. Muras, Keith A. Briggs, David Adamo, Tariq King
  • Patent number: 11003666
    Abstract: Embodiments of the preset disclosure include a method, a system, and a computer program product for rearranging a set of filters within a data streams environment. The method includes setting a first filter ordering of two or more filter processing elements. The method includes determining a filtering efficiency of the first filter ordering. The determining of the filtering efficiency includes monitoring a runtime, one or more tuples, and an amount of tuples retained after filtering of the first filter ordering. The method includes creating a second filter ordering of the two or more filter processing elements. The method includes comparing the filtering efficiency of the second filter ordering to the first filter ordering. The method includes selecting the second filter ordering in response to comparing the filtering efficiency of the second filter ordering to the filtering efficiency of the first filter ordering.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: May 11, 2021
    Assignee: International Business Machines Corporation
    Inventors: Bin Cao, Jessica R. Eidem, Brian R. Muras, Jingdong Sun
  • Patent number: 10977155
    Abstract: A system for providing autonomous discovery of field or navigation constraints is disclosed. The system may parse text extracted from an output of an application and text extracted from documents internal to the system, external to the system, or a combination thereof. The parsed text may be correlated by the system with a field of the application, an order of operations to be conducted within the application, a functional transition of the application, or a combination thereof. Based on the correlation, the system may generate a constraint for the field of the application, the order of operations to be conducted within the application, the functional transition of the application, or a combination thereof. The system may conduct hypothesis testing on the constraint to increase a confidence value of the constraint. Moreover, the system may validate the constraint with the application being evaluated by the system.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: April 13, 2021
    Assignee: The Ultimate Software Group, Inc.
    Inventors: Brian R. Muras, John A. Maliani, Robert L. Vanderwall, Michael L. Mattera, Dionny Santiago, Keith A. Briggs, David Adamo, Tariq King
  • Patent number: 10970280
    Abstract: Disclosed aspects include the database management system detecting that a first data storage medium includes a first set of data of a database. The first data storage medium has a first access-factor. The database management system detects that a second data storage medium includes a second set of data of the database. The second data storage medium has a second access-factor which differs from the first access-factor. Based on a data storage relationship, the database management system determines a query plan to access both the first set of data with respect to the first data storage medium and the second set of data with respect to the second data storage medium. The database management system establishes the query plan.
    Type: Grant
    Filed: October 7, 2015
    Date of Patent: April 6, 2021
    Assignee: International Business Machines Corporation
    Inventors: Eric L. Barsness, Brian R. Muras, John M. Santosuosso
  • Publication number: 20210081420
    Abstract: Disclosed aspects relate to query plan management associated with a shared pool of configurable computing resources. A query, which relates to a set of data located on the shared pool of configurable computing resources, is detected. A virtual machine includes the set of data. With respect to the virtual machine, a set of burden values of performing a set of asset actions is determined. Based on the set of burden values, a query plan to access the set of data is established. Using at least one asset action of the set of asset actions, the query plan is processed.
    Type: Application
    Filed: October 9, 2020
    Publication date: March 18, 2021
    Inventors: Rafal P. Konik, Roger A. Mittelstadt, Brian R. Muras