Patents by Inventor Michael McNally
Michael McNally 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).
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Publication number: 20230390479Abstract: A disposable, hand-held, manually operated, and powered suction device for use in both emergent and non-emergent hospital and pre-hospital care settings evacuates media from body cavities created or formed.Type: ApplicationFiled: May 24, 2023Publication date: December 7, 2023Inventor: Michael McNally
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Patent number: 11635145Abstract: A spiral wound header ring is provided. The spiral wound header ring comprises at least one outer fabric layer and at least one spiral of inner fabric and rubber. The spiral wound header ring further may have a sealing surface that extends from a rearward facing surface to the forward facing annular, radially extending, surface.Type: GrantFiled: September 17, 2021Date of Patent: April 25, 2023Assignee: Garlock Sealing Technologies, LLCInventors: Randy Matthys, Chad Yoder, Michael McNally, Louis Mattina
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Publication number: 20230124861Abstract: A pouch for carrying hemostatic gauze packages securely fastens to the equipment on a utility belt such as a tourniquet holder and is easily accessible in an emergency situation. The pouch can hold up to two packages of compressed advanced clotting gauze that are removed from the pouch by a deployment ribbon.Type: ApplicationFiled: August 7, 2022Publication date: April 20, 2023Inventor: MICHAEL MCNALLY
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Patent number: 11143305Abstract: A spiral wound header ring is provided. The spiral wound header ring comprises at least one outer fabric layer and at least one spiral of inner fabric and rubber. The spiral wound header ring further may have a sealing surface that extends from a rearward facing surface to the forward facing annular, radially extending, surface.Type: GrantFiled: August 20, 2018Date of Patent: October 12, 2021Assignee: Garlock Sealing Technologies, LLCInventors: Randy Matthys, Chad Yoder, Michael McNally, Louis Mattina
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Patent number: 9258314Abstract: This specification describes technologies relating to detecting anomalous user accounts. A computer implemented method is disclosed which evaluates an unknown status user account. The method described compares features associated with a plurality of known anomalous user accounts stored in a database to features present in the unknown account. A correlation value corresponding to the probability of a specific feature occurring in a particular anomalous user account is calculated and a dependence value corresponding to the degree of dependence between the given feature and at least one other feature is also calculated. A subset of features in the unknown account is generated comprising those features that possess a correlation value less than a threshold value and a dependence value below a maximum correlation value. A risk score for the unknown account is calculated by selecting those features from the subset that maximizes the correlation value.Type: GrantFiled: March 15, 2013Date of Patent: February 9, 2016Assignee: Google Inc.Inventors: Fei Xiao, Ioan Marius Pungaru, Bill Davis, Michael McNally, Vinay Somasundara Rao, Anurag Gupta
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Patent number: 7636701Abstract: Providing dynamic learning for software agents in a simulation is described. The software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to a player character. A game designer provides program code, from which compile-time steps determine a set of raw features. The code may identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, may be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.Type: GrantFiled: October 30, 2007Date of Patent: December 22, 2009Assignee: AiLive, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Patent number: 7558698Abstract: A system including at least specialized elements that are restricted to a particular domain of data analysis or processing and configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.Type: GrantFiled: August 3, 2007Date of Patent: July 7, 2009Assignee: AiLive, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Publication number: 20090032773Abstract: The present invention provides polymeric compositions comprising an hydrogenated anthraquinone derivative and/or its enol/enolate tautomer. Methods of scavenging oxygen and preventing transmission of oxygen into a package using said compositions are also provided.Type: ApplicationFiled: June 28, 2005Publication date: February 5, 2009Inventors: Mark Andrew Horsham, Andrew David Scully, James Keith Gerard Murphy, Ross Anthony Santangelo, Michael McNally
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Publication number: 20080097948Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.Type: ApplicationFiled: October 30, 2007Publication date: April 24, 2008Applicant: AILIVE, INC.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Publication number: 20080065353Abstract: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.Type: ApplicationFiled: August 3, 2007Publication date: March 13, 2008Applicant: AiLive, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Patent number: 7296007Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.Type: GrantFiled: July 6, 2004Date of Patent: November 13, 2007Assignee: AiLive, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Publication number: 20070260567Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.Type: ApplicationFiled: July 6, 2004Publication date: November 8, 2007Applicant: iKuni, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Patent number: 7263462Abstract: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.Type: GrantFiled: January 14, 2005Date of Patent: August 28, 2007Assignee: AiLive, Inc.Inventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Publication number: 20060036398Abstract: A system including at least (1) specialized elements that are restricted to a particular domain of data analysis or processing and (2) configurable data that permits the specialized elements to be tailored to a particular application. The configurable data expands applicability of the specialized elements to plural applications within the particular domain. The specialized elements can be provided by a supplier to a developer without the supplier having detailed knowledge of structures and internal operations used by the particular application. The particular application can be generated by the developer without the developer having detailed knowledge of internal operations used by the specialized elements.Type: ApplicationFiled: January 14, 2005Publication date: February 16, 2006Applicant: IKuni, Inc., a corporationInventors: John Funge, Ron Musick, Daniel Dobson, Nigel Duffy, Michael McNally, Xiaoyuan Tu, Ian Wright, Wei Yen, Brian Cabral
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Publication number: 20050135878Abstract: A Jersey type barrier having a modified surface structure so that vertical surfaces are formed in place of, or on the normally formed sloping sides, to form suitable vertical surface for mounting material thereon to increase the overall height of the barrier.Type: ApplicationFiled: December 19, 2003Publication date: June 23, 2005Inventors: Michael McNally, Christopher McNally
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Patent number: 6553403Abstract: A method of monitoring in a distributed computer network having a management server servicing a set of managed computers. The method begins by deploying a management infrastructure across a given subset of the managed computers, the management infrastructure comprising a runtime environment installed at a given managed computer. At the given managed computer, the routine executes a monitoring agent in the runtime environment to determine whether a given threshold has been exceeded. Then, a given action is taken if the given threshold has been exceeded. The monitoring agent is executed upon receipt of an external event or as a result of an internal timer. Execution of the monitoring agent involves taking a measurement, comparing the measurement against the given threshold, and then taking some corrective action if possible.Type: GrantFiled: June 3, 1998Date of Patent: April 22, 2003Assignee: International Business Machines CorporationInventors: Stuart Jarriel, Michael McNally
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Patent number: 6549932Abstract: A large distributed enterprise includes computing resources including a management server servicing a plurality of endpoint machines. A management infrastructure include a runtime engine is deployed on given endpoint machines. In response to a task deployment request at an administrative server, discovery agents may be launched into the computer network. When a software agent arrives at a given machine that supports the runtime engine, the agent is executed to determine whether the endpoint is a candidate for a particular task deployment.Type: GrantFiled: June 3, 1998Date of Patent: April 15, 2003Assignee: International Business Machines CorporationInventors: Michael McNally, Brian Jay Vetter
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Patent number: 6544294Abstract: The invention comprises a computer-based system for creating, editing, and displaying works such as, for example, books, screenplays, speeches, or multimedia works, that include textual components that have a presentation metric associated with them. In one or more embodiments of the invention, the presentation metric is the time that passes when the component is delivered to the intended audience. In one or more embodiments, the components of a work are referred to as “events.” The invention creates graphical representations of events that visually display the presentation metric of the events and the temporal relationships between events. Events may be subsets of other events. In one or more embodiments, a hierarchy of events is displayed upon parallel levels, each of which represents a different level in the hierarchy.Type: GrantFiled: May 27, 1999Date of Patent: April 8, 2003Assignee: Write Brothers, Inc.Inventors: Stephen Greenfield, Michael McNally, Chris Huntley
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Patent number: 6336139Abstract: A method of event correlation implemented within a distributed environment having a management server and a set of managed machines. The preferred event correlation method begins by establishing a discrete set of correlation rules. One preferred implementation of a correlation rule is a software-based state machine. Each correlation rule is adapted to recognize a given pattern of one or more events indicative of a given condition. A set of correlation rules comprise a set of efficiently-coupled state machines, each of which is optimized for a particular, low-level logical function. Then, as events are received and/or generated at the machine, the events are examined by the state machines comprising the correlator to search for the defined event patterns. If a given event pattern is recognized, a given condition sought to be monitored has occurred, and the event correlator may then be used to take a given action.Type: GrantFiled: June 3, 1998Date of Patent: January 1, 2002Assignee: International Business Machines CorporationInventors: Metin Feridun, Michael McNally, Brian Jay Vetter
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Patent number: D893684Type: GrantFiled: January 14, 2019Date of Patent: August 18, 2020Assignee: Garlock Sealing Technologies, LLCInventors: Randy Matthys, Chad Yoder, Michael McNally, Louis Mattina