Patents by Inventor Herbert D'Alo

Herbert D'Alo 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: 10953626
    Abstract: A method of forming a coating layer on a fibrous mat to make a coated article includes depositing a coating composition on a carrier material and at least partially embedding a first major surface of a fibrous mat in the coating composition, the fibrous mat including a plurality of mat fibers. The coating composition is at least partially hardened to form a coating layer at the first major surface of the fibrous mat. A second major surface of the fibrous mat opposite the first major surface includes an uncoated portion of the plurality of mat fibers.
    Type: Grant
    Filed: November 20, 2015
    Date of Patent: March 23, 2021
    Assignee: AXALTA COATING SYSTEMS IP CO., LLC
    Inventors: John E. Kirkwood, Michael D. Foster, Herbert D. Temple, James E. Bailey, Michael Deal, Charles R. Harrison, Christopher J. Sanders, Yi-Hsien Teng
  • Patent number: 10749940
    Abstract: For distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: August 18, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10713574
    Abstract: Approaches are provided for answering an inquiry of a cognitive distributed network. An approach includes receiving the inquiry at the cognitive distributed network. The approach further includes determining a classification for the inquiry based on natural language of the inquiry. The approach further includes classifying the inquiry as a single question class. The approach further includes determining, by at least one computing device, a type of introspection to be used by the cognitive distributed network on the inquiry. The approach further includes generating an answer to the inquiry based on the determined type of introspection.
    Type: Grant
    Filed: April 10, 2014
    Date of Patent: July 14, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas B. Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10382530
    Abstract: At a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: August 13, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Publication number: 20190238625
    Abstract: For distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
    Type: Application
    Filed: April 11, 2019
    Publication date: August 1, 2019
    Applicant: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10353738
    Abstract: Embodiments of the present invention provide an approach for allocating computing resources based on social networking/media trends in a networked computing environment (e.g., a cloud computing environment). In a typical embodiment, a baseline computing resource allocation will be determined for the networked computing environment based upon historical computing resource data (e.g., stored in at least one computer storage device). Social networking trend data corresponding to usage of a set of social networking websites may be received and analyzed to determine a forecasted computing resource allocation (e.g., based on social networking trends). The baseline computing resource allocation may be compared to the forecasted computing resource allocation to identify any difference therebetween. A computing resource allocation protocol/plan may then be determined based on the comparison (e.g., to address the difference).
    Type: Grant
    Filed: March 21, 2012
    Date of Patent: July 16, 2019
    Assignee: International Business Machines Corporation
    Inventors: Richard J. Bogdany, Thomas B. Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10332112
    Abstract: In a method for authenticating a current user of a near field communication (NFC) device, a profile for an authorized user of the NFC device is established based on data received from one or more sensors of the NFC device over a first period of time. Responsive to a request for a payment transaction, a profile for the current user of the NFC device is established based on data received from the one or more sensors over a second period of time after the first period of time. The profile for the current user is compared with the profile for the authorized user. A determination is made as to whether one or more values in the profile for the current user are within a range of one or more values in the profile for the authorized user at a confidence level.
    Type: Grant
    Filed: March 27, 2012
    Date of Patent: June 25, 2019
    Assignee: International Business Machines Corporation
    Inventors: Andrew R. Jones, Mauro Marzorati, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10299822
    Abstract: An apparatus for creating minimal skin incisions and soft tissue tunnels, particularly useful in the insertion of transverse or oblique screws through a bone and the holes in a locking nail embedded within the intra-medullary cavity of the bone. A unique surgical tool, as described herein, is used in conjunction with a targeting guide and targeting guide tunnel to create skin and soft-tissue tunnels that are precise, of minimal size, and minimally traumatic for the patient, and very quick and easy for the surgeon to create and to repair.
    Type: Grant
    Filed: September 30, 2016
    Date of Patent: May 28, 2019
    Inventor: Herbert D. Huddleston
  • Patent number: 10244054
    Abstract: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A subset of the set is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the subset which enables the first IoT device to participate in the sub-cluster and process the workload.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: March 26, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 10188993
    Abstract: An ingredient blending apparatus is disclosed which blends a plurality of ingredients into a homogeneous blend. The apparatus includes a container which receives various ingredients in a prescribed amount. A vacuum motor has its intake side in communication with the interior of the container to suck the ingredients from the container and blow the same into a blending chamber. The ingredients blown into the blending chamber are mixed and recycled into the vacuum motor and the blending chamber until the ingredients are properly mixed or blended. When the ingredients are properly mixed or blended, they may be sent to an ingredient collection apparatus.
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: January 29, 2019
    Inventor: Herbert D. Knudsen
  • Patent number: 10027758
    Abstract: For distributed processing using location-based IoT device clusters, using a processor and a memory at a central IoT device, a data source that is to be used for processing a workload is determined. A set of IoT devices that are operating within a threshold distance from the data source at a first time is selected. At the central IoT device, to form a cluster of IoT devices, a subset of the set of IoT devices is selected. Each IoT device in the subset satisfies a clustering condition. The processor at the central IoT device is instructed to configure a device application at a first IoT device in the subset of IoT devices, the device application enabling the first IoT device to participate in the cluster and process the workload.
    Type: Grant
    Filed: October 5, 2015
    Date of Patent: July 17, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Publication number: 20180183877
    Abstract: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A subset of the set is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the subset which enables the first IoT device to participate in the sub-cluster and process the workload.
    Type: Application
    Filed: February 14, 2018
    Publication date: June 28, 2018
    Applicant: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 9990234
    Abstract: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: June 5, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 9954953
    Abstract: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A first subset of the IoT devices is selected to form a cluster of IoT devices where each IoT device satisfies a clustering condition. A second subset of the first subset is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the second subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the second subset which enables the first IoT device to participate in the sub-cluster and process the workload.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: April 24, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Patent number: 9860134
    Abstract: An approach is provided for allowing a network computing (e.g., cloud computing) infrastructure to modify its resource allocation plan (e.g., an instance count) by using a Kth derivative vector plot, which may be generated using historical logs. Among other things, this approach enables an infrastructure to project an allocation forecast for a specified duration and adapt to changes in network traffic.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: January 2, 2018
    Assignee: International Business Machines Corporation
    Inventors: Richard J. Bogdany, Thomas B. Harrison, Cameron Niall-Kerr McAvoy, Brian M. O'Connell, Herbert D. Pearthree, Shengzhi Sun, Clay T. Upton
  • Publication number: 20170341337
    Abstract: A method of forming a coating layer on a fibrous mat to make a coated article includes depositing a coating composition on a carrier material and at least partially embedding a first major surface of a fibrous mat in the coating composition, the fibrous mat including a plurality of mat fibers. The coating composition is at least partially hardened to form a coating layer at the first major surface of the fibrous mat. A second major surface of the fibrous mat opposite the first major surface includes an uncoated portion of the plurality of mat fibers.
    Type: Application
    Filed: November 20, 2015
    Publication date: November 30, 2017
    Inventors: John E. Kirkwood, Michael D. Foster, Herbert D. Temple, James E. Bailey, Michael Deal, Charles R. Harrison, Christopher J. Sanders, Yi-Hsien Teng
  • Patent number: 9811387
    Abstract: For distributed processing using sampled clusters of location-based Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset including a first sample number of devices is selected from the set. A ratio is determined of a first amount of a computing resource needed to process the workload and a second amount of the computing resource available in the first subset to process the workload. From the set, to form a cluster, a second subset is selected of a size at least equal to a multiple of the ratio and the first sample number. Each device in the second subset satisfies a clustering condition. A lightweight application is configured at the first device to process the workload.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: November 7, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Publication number: 20170235603
    Abstract: For distributed processing using forecasted location-based IoT device clusters, at a central IoT device, a data source that is to be used and a duration for processing a workload is determined. A set of IoT devices operating within a threshold distance from the data source at a first time is selected. A first subset of the IoT devices is selected to form a cluster of IoT devices where each IoT device satisfies a clustering condition. A second subset of the first subset is selected to form a sub-cluster of IoT devices where a forecasted travel path of a member IoT device in the second subset keeps the member within the threshold distance from the data source for the duration. A lightweight application is configured at a first IoT device in the second subset which enables the first IoT device to participate in the sub-cluster and process the workload.
    Type: Application
    Filed: February 11, 2016
    Publication date: August 17, 2017
    Applicant: International Business Machines Corporation
    Inventors: AARON K. BAUGHMAN, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Publication number: 20170235604
    Abstract: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.
    Type: Application
    Filed: February 11, 2016
    Publication date: August 17, 2017
    Applicant: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
  • Publication number: 20170235616
    Abstract: For distributed processing using sampled clusters of location-based Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset including a first sample number of devices is selected from the set. A ratio is determined of a first amount of a computing resource needed to process the workload and a second amount of the computing resource available in the first subset to process the workload. From the set, to form a cluster, a second subset is selected of a size at least equal to a multiple of the ratio and the first sample number. Each device in the second subset satisfies a clustering condition. A lightweight application is configured at the first device to process the workload.
    Type: Application
    Filed: February 11, 2016
    Publication date: August 17, 2017
    Applicant: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree