Patents by Inventor Walter Paul Labys

Walter Paul Labys 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: 9832610
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Grant
    Filed: August 19, 2016
    Date of Patent: November 28, 2017
    Assignee: Apple Inc.
    Inventors: Frederick S. M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Publication number: 20170078317
    Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.
    Type: Application
    Filed: November 21, 2016
    Publication date: March 16, 2017
    Inventors: Yael Gertner, Frederick S.M. Herz, Walter Paul Labys
  • Publication number: 20170048672
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Application
    Filed: August 19, 2016
    Publication date: February 16, 2017
    Inventors: Frederick S. M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Patent number: 9503470
    Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.
    Type: Grant
    Filed: October 1, 2013
    Date of Patent: November 22, 2016
    Assignee: Fred Herz Patents, LLC
    Inventors: Yael Gertner, Frederick S. M. Herz, Walter Paul Labys
  • Patent number: 9451019
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Grant
    Filed: June 19, 2014
    Date of Patent: September 20, 2016
    Assignee: Apple Inc.
    Inventors: Frederick S. M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Patent number: 8924237
    Abstract: A database system stores information about potential patients that allows medical professionals to gauge the legal risk presented by the potential patients, giving the medical professionals the opportunity to avoid medical involvement with those individuals most prone to engaging in unwarranted legal actions. The database may also be used by insurance companies, legal services and other professional service providers to screen for potentially litigious customers. Information in the database is processed to provide a risk assessment score for each patient that is used for screening purposes.
    Type: Grant
    Filed: March 26, 2007
    Date of Patent: December 30, 2014
    Assignee: Fred Herz Patents, LLC
    Inventors: Frederick S. M. Herz, Walter Paul Labys
  • Patent number: 8925095
    Abstract: A widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially consist of a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.
    Type: Grant
    Filed: December 3, 2012
    Date of Patent: December 30, 2014
    Assignee: Fred Herz Patents, LLC
    Inventors: Frederick S. M. Herz, Walter Paul Labys
  • Publication number: 20140324453
    Abstract: A database system stores information about potential patients that allows medical professionals to gauge the legal risk presented by the potential patients, giving the medical professionals the opportunity to avoid medical involvement with those individuals most prone to engaging in unwarranted legal actions. The database may also be used by insurance companies, legal services and other professional service providers to screen for potentially litigious customers. Information in the database is processed to provide a risk assessment score for each patient that is used for screening purposes.
    Type: Application
    Filed: July 10, 2014
    Publication date: October 30, 2014
    Inventors: Frederick S.M. Herz, Walter Paul Labys
  • Publication number: 20140308978
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally; using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Application
    Filed: June 19, 2014
    Publication date: October 16, 2014
    Inventors: Frederick S.M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Publication number: 20140237599
    Abstract: An architecture is provided for a widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially include a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.
    Type: Application
    Filed: October 1, 2013
    Publication date: August 21, 2014
    Inventors: Yael Gertner, Frederick S.M. Herz, Walter Paul Labys
  • Patent number: 8799461
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally, using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Grant
    Filed: March 23, 2012
    Date of Patent: August 5, 2014
    Assignee: Apple Inc.
    Inventors: Frederick S. M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Publication number: 20140095417
    Abstract: A computer system is adapted to predict the likelihood, temporal (or developmental) state, possible location(s), rate of spread or “infectiousness”, etc. of a potential epidemic. A wide and diverse range of inputs and associated parameters are inputted into the system some of which may be statistically correlatable with certain hidden states including those which are temporally oriented disease stages of progression as well as other types of attributes. A Dynamic Bayesian Belief Network or other adaptive or machine learning method is used for the probabilistic analysis. The system statistically analyzes and reanalyzes the totality of all recently updated information (and within the context of all past information), as can efficiently be modeled by the Dynamic Bayesian Belief Network or other adaptive or machine learning method to provide updated predictions and to suggest a recommended reactive protocol to an epidemic.
    Type: Application
    Filed: October 1, 2013
    Publication date: April 3, 2014
    Inventors: Frederick S.M. Herz, Walter Paul Labys, Bhupinder Madan, Yael Gertner, Sampath Kannan
  • Publication number: 20130091573
    Abstract: A widely distributed security system (SDI-SCAM) that protects computers at individual client locations, but which constantly pools and analyzes information gathered from machines across a network in order to quickly detect patterns consistent with intrusion or attack, singular or coordinated. When a novel method of attack has been detected, the system distributes warnings and potential countermeasures to each individual machine on the network. Such a warning may potentially consist of a probability distribution of the likelihood of an intrusion or attack as well as the relative probabilistic likelihood that such potential intrusion possesses certain characteristics or typologies or even strategic objectives in order to best recommend and/or distribute to each machine the most befitting countermeasure(s) given all presently known particular data and associated predicted probabilistic information regarding the prospective intrusion or attack.
    Type: Application
    Filed: December 3, 2012
    Publication date: April 11, 2013
    Inventors: Frederick S.M. Herz, Walter Paul Labys
  • Publication number: 20130059607
    Abstract: When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally, using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.
    Type: Application
    Filed: March 23, 2012
    Publication date: March 7, 2013
    Inventors: Frederick S.M. Herz, Pierre Lemaire, Jean H. Lemaire, Walter Paul Labys
  • Publication number: 20130030981
    Abstract: A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price.
    Type: Application
    Filed: October 5, 2012
    Publication date: January 31, 2013
    Inventors: Frederick S.M. Herz, Lyle H. Ungar, Jason M. Eisner, Walter Paul Labys
  • Patent number: 8327442
    Abstract: This document discloses the architecture and proposed application of a highly distributed network security system. Using a combination of intelligent client-side and server-side agents, redundant memory arrays, duplicate network connections, and a variety of statistical analytics, which are cleverly designed to anticipate, counteract and defeat likely strategic designs, behaviors and adaptations of these threats which may be intended to evade or even disable the network security system, this system serves to detect, prevent, and repair a wide variety of network intrusions.
    Type: Grant
    Filed: December 24, 2003
    Date of Patent: December 4, 2012
    Inventors: Frederick S. M. Herz, Walter Paul Labys
  • Patent number: 8285619
    Abstract: A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price.
    Type: Grant
    Filed: January 22, 2002
    Date of Patent: October 9, 2012
    Assignee: Fred Herz Patents, LLC
    Inventors: Frederick S. M. Herz, Lyle H. Ungar, Jason M. Eisner, Walter Paul Labys
  • Patent number: 7630986
    Abstract: A system for exchanging data includes a communication system, a first and a second party connected to the communication system, wherein each party has personal data, and each party has a disclosure policy to control dissemination of its data, and a secure intermediate party connected to the communication system, wherein the secure intermediate party exchanges data between the first and second parties in accordance with their respective disclosure policies.
    Type: Grant
    Filed: October 27, 2000
    Date of Patent: December 8, 2009
    Assignee: Pinpoint, Incorporated
    Inventors: Frederick S. M. Herz, Walter Paul Labys, David C. Parkes, Sampath Kannan, Jason M. Eisner
  • Publication number: 20090254971
    Abstract: A secure data interchange system enables information about bilateral and multilateral interactions between multiple persistent parties to be exchanged and leveraged within an environment that uses a combination of techniques to control access to information, release of information, and matching of information back to parties. Access to data records can be controlled using an associated price rule. A data owner can specify a price for different types and amounts of information access.
    Type: Application
    Filed: April 3, 2009
    Publication date: October 8, 2009
    Applicant: Pinpoint, Incorporated
    Inventors: Frederick S. M. Herz, Walter Paul Labys, David C. Parkes, Sampath Kannan, Jason M. Eisner
  • Patent number: 7065528
    Abstract: A framework for a system that will allow a professional to vastly extend the web of his referral network, by using a centralized matching system that both protects the privacy of his client, and allows a broad range of outside specialists the opportunity to present themselves. In addition to a database that allows the referring professional to gauge the capabilities of the candidates, the system also includes a bidding system such that candidates can offer a small reward (cash or otherwise) in exchange for being given the work.
    Type: Grant
    Filed: July 24, 2002
    Date of Patent: June 20, 2006
    Inventors: Frederick S. M. Herz, Walter Paul Labys