Patents Assigned to Data Solutions, Inc.
  • Publication number: 20230142728
    Abstract: An object is to accurately detect abnormality of a living body.
    Type: Application
    Filed: March 11, 2021
    Publication date: May 11, 2023
    Applicant: DATA SOLUTIONS, INC.
    Inventors: Tomoaki OTSUKI, Chen YE
  • Patent number: 11629681
    Abstract: A remote vehicle starter system having an antenna that can be flashed to operate in a one-way mode or a two-way mode, such that a user will be permitted a trial period to test the remote starter system in both modes and then the user can select the desired mode by flashing the antenna via link up to a website. The user is charged a price for the remote starter system based on the mode selected by flashing.
    Type: Grant
    Filed: September 15, 2022
    Date of Patent: April 18, 2023
    Assignee: Automotive Data Solutions, Inc.
    Inventor: Frank Barassi
  • Publication number: 20230072934
    Abstract: A signal representing heartbeat behavior is accurately restored. The present signal restoration system includes: a signal acquirer configured to acquire a first heartbeat signal representing heartbeat behavior; a first band-pass filter configured to generate a first signal by performing first band-pass filter processing on the first heartbeat signal; an integral calculator configured to calculate an integral value by integrating frequency intensity of the heartbeat represented by the first signal; a second band-pass filter configured to generate a third signal by performing second band-pass filter processing on a second signal representing the integral value with respect to time; and a restored signal generator configured to generate a restored signal representing heartbeat behavior based on first data generated by dividing the third signal at intervals of a predetermined time.
    Type: Application
    Filed: February 18, 2021
    Publication date: March 9, 2023
    Applicant: Data Solutions, Inc.
    Inventors: Tomoaki OTSUKI, Kohei YAMAMOTO, Shuzo ISHIZAKA, Ryosuke HIROMATSU
  • Publication number: 20230045562
    Abstract: An object is to accurately determine the presence or absence of a living body. A living body detection device comprises: a signal acquirer that acquires a first signal including a first frequency component that is a frequency component of heartbeat and a second frequency component that is a frequency component of breathing; a filter that attenuates a frequency component higher than the first frequency component based on the first signal to generate a second signal; a frequency analyzer that analyzes a frequency component of the second signal; a variance value calculator that calculates a first variance value of energy of at least one of the first frequency component and the second frequency component based on a result of analysis by the frequency analyzer; a first statistical quantity calculator that calculates a first statistical quantity of the first variance value for a predetermined period; and a determiner that determines presence or absence of a living body based on the first statistical quantity.
    Type: Application
    Filed: March 11, 2021
    Publication date: February 9, 2023
    Applicant: DATA SOLUTIONS, INC.
    Inventors: Tomoaki OTSUKI, Chen YE
  • Patent number: 11556228
    Abstract: A content management system and method work as a companion to other applications that control the system. The system and method draw information from the operations or structure of the controlling application to display and manage the content objects relevant to a record displayed by a user of the controlling application and stored in the content management system. The system and method operate in conjunction with the controlling application so that this management and display of content objects is dynamic, real-time, and context-sensitive for the user.
    Type: Grant
    Filed: May 27, 2015
    Date of Patent: January 17, 2023
    Assignee: Torrential Data Solutions, Inc.
    Inventors: Bradford D. Bimson, Christopher W. Griffin, Daniel V. Griffin, Gary Scopel, David W. Torbert
  • Publication number: 20220318274
    Abstract: Disclosed herein are system, method, and computer program product embodiments for linking data records in memory. The system, method, and computer program product includes accessing a first record stored in memory, the first record holding information describing a first person and accessing at least one additional record stored in memory, the additional records holding information describing additional persons. The method continues by parsing the information of the first record and additional record and assigning the parsed information to predefined categories within the respective records. After assigning the information into categories, a similarity score between categorical information in the first record and categorical information of additional records is determined. A category of an additional record is then modified based on the similarity score, so the additional record is associated with the first person.
    Type: Application
    Filed: March 21, 2022
    Publication date: October 6, 2022
    Applicant: VEDA Data Solutions, Inc.
    Inventor: Robert Raymond LINDNER
  • Publication number: 20220280063
    Abstract: It is an object to improve the accuracy of detecting breathing. The present system for detecting breathing comprises: a transmission unit that transmits radio waves to a plurality of positions including a position at which a subject is present; a reception unit that receives reflected waves as a result of reflection of the radio waves; a phase fluctuation calculator that calculates phase fluctuation of the reflected waves; a generator that performs a Fourier transform on the phase fluctuation and generates a spectrogram indicating a relationship between a time at which the reflected waves are received and a frequency component included in the reflected waves; and a breathing rate estimator that estimates a breathing rate of the subject by outputting a probability that the subject takes breaths at a predetermined frequency for each frequency based on the spectrogram and calculating a weighted average of the frequency by using the probability as a weight.
    Type: Application
    Filed: August 20, 2020
    Publication date: September 8, 2022
    Applicants: Data Solutions, Inc., Data Solutions, Inc.
    Inventors: Tomoaki OHTSUKI, Kohei YAMAMOTO
  • Patent number: 11314782
    Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a first processing demand required to clean a data set and identifying one or more processors to clean the data based on the determined demand. The system, method, and computer program product embodiment further monitors the data cleaning process to determine a second demand and decides whether to continue operating one or more of the processors, based on the second demand.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: April 26, 2022
    Assignee: VEDA DATA SOLUTIONS, INC.
    Inventor: Robert Raymond Lindner
  • Patent number: 11243754
    Abstract: Some embodiments of the invention concern a novel and interactive way to deliver telematics solutions by separating the delivery of the hardware and software component of a telematics device. The software telematics application is selected and delivered to the customer's telematics device by in-application purchases via the customer's mobile device. The mobile device contains a user interface that is adapted to control and configure the telematics device. The customers may upgrade their telematics applications using their mobile devices. A retailer may also request the upgrade of a customer's telematics application using the retailer's mobile device. The user interface also provide a customer profiler tool to provide individualized search results and recommend telematics applications based on the customer's profile.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: February 8, 2022
    Assignee: Automotive Data Solutions, Inc.
    Inventor: Peter Fazi
  • Publication number: 20210174380
    Abstract: The present disclosure is directed to systems and methods for identifying demographic information in a data file. The method may include: receiving the data file containing a plurality of fields of demographic information from a third-party, the data file having inconsistent or mislabeled nomenclatures for one or more fields of the plurality of fields or spurious demographic information; analyzing the data file using a machine learning model trained according to other data files to distinguish between each of the plurality of fields of demographic information, the machine learning model being based on a plurality of machine learning algorithms to identify different types demographic information; generating a score indicating a probability that each of the plurality of fields of demographic information was identified correctly; and generating a revised data file labeling each of the plurality of fields of demographic information based on the identified type.
    Type: Application
    Filed: February 22, 2021
    Publication date: June 10, 2021
    Applicant: VEDA Data Solutions, Inc.
    Inventors: Carlos VERA-CIRO, Robert Raymond LINDNER
  • Publication number: 20210133769
    Abstract: The present disclosure is directed to systems and methods for identifying demographic information in a data file. The method may include: receiving the data file containing a plurality of fields of demographic information from a third-party, the data file having inconsistent or mislabeled nomenclatures for one or more fields of the plurality of fields or spurious demographic information; analyzing the data file using a machine learning model trained according to other data files to distinguish between each of the plurality of fields of demographic information, the machine learning model being based on a plurality of machine learning algorithms to identify different types demographic information; generating a score indicating a probability that each of the plurality of fields of demographic information was identified correctly; and generating a revised data file labeling each of the plurality of fields of demographic information based on the identified type.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicant: VEDA Data Solutions, Inc.
    Inventors: Carlos Vera-Ciro, Robert Raymond Lindner
  • Publication number: 20210133275
    Abstract: The present disclosure is directed to systems and methods for identifying demographic information in a marked up document. The method may include: detecting a plurality of fields representing demographic information in a marked up document; extracting a set of features based the detected demographic information; based at least in part on the set of features, determining whether the plurality of fields represent demographic information of a single provider using a machine learning model trained according to other marked up documents; and when the plurality of fields are determined to represent demographic information of a single provider, associating the plurality of fields to represent demographic information of the single provider.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicant: VEDA Data Solutions, Inc.
    Inventors: Carlos Vera-Ciro, Robert Raymond Lindner
  • Publication number: 20210134407
    Abstract: The present disclosure is directed to systems and methods for extracting unstructured data from a data source in a structure manner. Embodiments provide ways to retrieve unstructured data along from data sources not optimized for automated retrieval. For example, embodiments may generate a branched tree for each data source that maps out paths to individual sites of, for example, a healthcare provider listing the unstructured data. Using this branched tree, tasks can be generated to navigate along a path with the data source to each site and extract the unstructured data from the data source. In this way, embodiments provide the ability to navigate through a site from a base site to a site that has the relevant data.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicant: VEDA Data Solutions, Inc.
    Inventors: Carlos Vera-Ciro, Robert Raymond Lindner
  • Patent number: 10990900
    Abstract: To train models, training data is needed. As personal data changes over time, the training data can get stale, obviating its usefulness in training the model. Embodiments deal with this by developing a database with a running log specifying how each person's data changes at the time. When data is ingested, it may not be normalized. To deal with this, embodiments clean the data to ensure the ingested data fields are normalized. Finally, the various tasks needed to train the model and solve for accuracy of personal data can quickly become cumbersome to a computing device. They can conflict with one another and compete inefficiently for computing resources, such as processor power and memory capacity. To deal with these issues, a scheduler is employed to queue the various tasks involved.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: April 27, 2021
    Assignee: Veda Data Solutions, Inc.
    Inventor: Robert Raymond Lindner
  • Publication number: 20210117419
    Abstract: Disclosed herein are system, method, and computer program product embodiments for performing a regression analysis on lawfully collected personal data records. The analysis enables discovery of individuals likely to perform certain actions based on their personal data records and the personal data records and actions of others. The disclosed system, method, and computer program product may process vast quantities of data, including personal data records with thousands of categories and lawfully stored databases with millions of personal data records. Through the regression analysis, the disclosed system, method, and computer program product learn the most relevant categories for predicting an individual's actions based on input data provided by a user. The analysis then analyzes the categories of personal data records stored in a lawfully stored database to predict actions of individuals associated with those records and outputs results to the user.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 22, 2021
    Applicant: VEDA Data Solutions, Inc.
    Inventor: Robert Raymond LINDNER
  • Patent number: 10878334
    Abstract: Disclosed herein are system, method, and computer program product embodiments for performing a regression analysis on lawfully collected personal data records. The analysis enables discovery of individuals likely to perform certain actions based on their personal data records and the personal data records and actions of others. The disclosed system, method, and computer program product may process vast quantities of data, including personal data records with thousands of categories and lawfully stored databases with millions of personal data records. Through the regression analysis, the disclosed system, method, and computer program product learn the most relevant categories for predicting an individual's actions based on input data provided by a user. The analysis then analyzes the categories of personal data records stored in a lawfully stored database to predict actions of individuals associated with those records and outputs results to the user.
    Type: Grant
    Filed: March 17, 2016
    Date of Patent: December 29, 2020
    Assignee: VEDA Data Solutions, Inc.
    Inventor: Robert Raymond Lindner
  • Publication number: 20200356352
    Abstract: Some embodiments of the invention concern a novel and interactive way to deliver telematics solutions by separating the delivery of the hardware and software component of a telematics device. The software telematics application is selected and delivered to the customer's telematics device by in-application purchases via the customer's mobile device. The mobile device contains a user interface that is adapted to control and configure the telematics device. The customers may upgrade their telematics applications using their mobile devices. A retailer may also request the upgrade of a customer's telematics application using the retailer's mobile device. The user interface also provide a customer profiler tool to provide individualized search results and recommend telematics applications based on the customer's profile.
    Type: Application
    Filed: July 27, 2020
    Publication date: November 12, 2020
    Applicant: AUTOMOTIVE DATA SOLUTIONS, INC.
    Inventor: Peter Fazi
  • Patent number: 10790050
    Abstract: A method in an aggregation server may provide healthcare information based on electronic healthcare records from a plurality of data portals. A master record may be provided in a database, and the master record may include an aggregation of healthcare information for a user based on initial electronic healthcare records received by the aggregation server over a network from a plurality of data portals. A schedule to update the master record for the user may be determined, and the schedule may be based on information included in the master record for the user. The master record in the database for the user may be updated based on current electronic healthcare records received at the aggregation server over the network from at least one of the plurality of data portals, with the master record being updated according to the schedule. Related servers and computer program products are also discussed.
    Type: Grant
    Filed: August 7, 2017
    Date of Patent: September 29, 2020
    Assignee: Greenlight Health Data Solutions, Inc.
    Inventors: Christopher George Fierer, Joseph David Hindsley, Jr., Ryan William Bell, Vikram Natarajan, Steven Joseph Emery
  • Patent number: 10762450
    Abstract: A computer-implemented method for producing healthcare data records from graphical inputs by computer users includes receiving, on a graphical user interface of a computer system, a user identification of a diagnosis for a patient, the user identification produced by user selection on the graphical user interface; identifying one or more parameters that characterize the diagnosis; displaying on the graphical user interface a plurality of selectable values for particular ones of identified parameters; receiving sequential user selections representations of particulars ones of the values; and generating an electronic medical record representation that represents the identified diagnosis having the selected values for the one or more parameters.
    Type: Grant
    Filed: April 3, 2017
    Date of Patent: September 1, 2020
    Assignee: Zeus Data Solutions, Inc.
    Inventors: Alan J. Sorkey, Steven Allen Conrad
  • Patent number: 10725758
    Abstract: Some embodiments of the invention concern a novel and interactive way to deliver telematics solutions by separating the delivery of the hardware and software component of a telematics device. The software telematics application is selected and delivered to the customer's telematics device by in-application purchases via the customer's mobile device. The mobile device contains a user interface that is adapted to control and configure the telematics device. The customers may upgrade their telematics applications using their mobile devices. A retailer may also request the upgrade of a customer's telematics application using the retailer's mobile device. The user interface also provide a customer profiler tool to provide individualized search results and recommend telematics applications based on the customer's profile.
    Type: Grant
    Filed: March 2, 2016
    Date of Patent: July 28, 2020
    Assignee: Automotive Data Solutions, Inc.
    Inventor: Peter Fazi