Patents by Inventor Sadiq M. Sait

Sadiq M. Sait 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: 20180364688
    Abstract: A collaborative automation platform and associated method include a fault-tolerant control server hosting one or more virtual controllers, and a fault-tolerant input/output server hosting a virtual input/output system. The collaborative automation platform also includes a master autonomous process interface system connected to the virtual input/output system, via a local area input/output network. The collaborative automation platform also includes a plurality of distributed autonomous process interface systems connected to the master autonomous process interface system, wherein each distributed autonomous process interface system is hardwired to a plurality of field instruments. The collaborative automation platform also includes real-time DDS middleware configured for execution with the fault-tolerant control server, the fault-tolerant input/output server, the master autonomous process interface system, and the plurality of distributed autonomous process interface systems.
    Type: Application
    Filed: August 23, 2018
    Publication date: December 20, 2018
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. SAIT, Ghalib A. AL-HASHIM
  • Patent number: 10146216
    Abstract: A collaborative automation platform and associated method include a fault-tolerant control server hosting one or more virtual controllers, and a fault-tolerant input/output server hosting a virtual input/output system. The collaborative automation platform also includes a master autonomous process interface system connected to the virtual input/output system, via a local area input/output network. The collaborative automation platform also includes a plurality of distributed autonomous process interface systems connected to the master autonomous process interface system, wherein each distributed autonomous process interface system is hardwired to a plurality of field instruments. The collaborative automation platform also includes real-time DDS middleware configured for execution with the fault-tolerant control server, the fault-tolerant input/output server, the master autonomous process interface system, and the plurality of distributed autonomous process interface systems.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: December 4, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sadiq M. Sait, Ghalib A. Al-Hashim
  • Patent number: 10082786
    Abstract: A collaborative automation platform includes a control server connected to a local area control network, and a plurality of distributed autonomous process interface systems. Each distributed autonomous process interface system is configured to receive measurement data from one or more field instruments and forward converted measurement data via an uplink to subscribers. Each distributed autonomous process interface system includes a standalone data distribution system-enabled input/output system and associated hardware for connection to the one or more field instruments. The collaborative automation platform also includes real-time DDS middleware configured to interconnect process control applications of the control server with the plurality of distributed autonomous process interface systems.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: September 25, 2018
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Sadiq M. Sait, Ghalib A. Al-Hashim
  • Patent number: 9874867
    Abstract: A clustered automation platform includes a plurality of distributed autonomous junction boxes connected to a master autonomous junction box, wherein each of the distributed autonomous junction boxes is configured to connect to one or more process measurement and control devices. The clustered automation platform also includes a fault-tolerant local area Ethernet network configured to interconnect the master autonomous junction box with a fault-tolerant input/output system server and a fault-tolerant control server. The clustered automation platform also includes a plurality of virtual local area networks partitioned from the fault-tolerant local area Ethernet network, a plurality of virtual control modules virtualized from the fault-tolerant control server, and a plurality of virtual operation areas virtualized from the fault-tolerant input/output system server.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: January 23, 2018
    Assignee: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. Sait, Ghalib A. Al-Hashim
  • Patent number: 9674033
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. Multiple data publishers or master nodes of a cluster have access to the same data source. Each of these publishers has an ownership strength quality of service, and the publisher with the highest ownership strength number is the designated publisher of the data to subscriber processor nodes of the cluster.
    Type: Grant
    Filed: July 5, 2016
    Date of Patent: June 6, 2017
    Assignees: Saudi Arabian Oil Company, King Fahd University of Petroleum and Minerals
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Publication number: 20170102692
    Abstract: A collaborative automation platform includes a control server connected to a local area control network, and a plurality of distributed autonomous process interface systems. Each distributed autonomous process interface system is configured to receive measurement data from one or more field instruments and forward converted measurement data via an uplink to subscribers. Each distributed autonomous process interface system includes a standalone data distribution system-enabled input/output system and associated hardware for connection to the one or more field instruments. The collaborative automation platform also includes real-time DDS middleware configured to interconnect process control applications of the control server with the plurality of distributed autonomous process interface systems.
    Type: Application
    Filed: March 21, 2016
    Publication date: April 13, 2017
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. SAIT, Ghalib A. Al-Hashim
  • Publication number: 20170102691
    Abstract: A clustered automation platform includes a plurality of distributed autonomous junction boxes connected to a master autonomous junction box, wherein each of the distributed autonomous junction boxes is configured to connect to one or more process measurement and control devices. The clustered automation platform also includes a fault-tolerant local area Ethernet network configured to interconnect the master autonomous junction box with a fault-tolerant input/output system server and a fault-tolerant control server. The clustered automation platform also includes a plurality of virtual local area networks partitioned from the fault-tolerant local area Ethernet network, a plurality of virtual control modules virtualized from the fault-tolerant control server, and a plurality of virtual operation areas virtualized from the fault-tolerant input/output system server.
    Type: Application
    Filed: March 21, 2016
    Publication date: April 13, 2017
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. SAIT, Ghalib A. AL-HASHIM
  • Publication number: 20170104826
    Abstract: A collaborative automation platform and associated method include a fault-tolerant control server hosting one or more virtual controllers, and a fault-tolerant input/output server hosting a virtual input/output system. The collaborative automation platform also includes a master autonomous process interface system connected to the virtual input/output system, via a local area input/output network. The collaborative automation platform also includes a plurality of distributed autonomous process interface systems connected to the master autonomous process interface system, wherein each distributed autonomous process interface system is hardwired to a plurality of field instruments. The collaborative automation platform also includes real-time DDS middleware configured for execution with the fault-tolerant control server, the fault-tolerant input/output server, the master autonomous process interface system, and the plurality of distributed autonomous process interface systems.
    Type: Application
    Filed: March 21, 2016
    Publication date: April 13, 2017
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. SAIT, Ghalib A. AL-HASHIM
  • Publication number: 20170102690
    Abstract: Methods and apparatus to design collaborative automation systems based on Data Distribution Service middleware are described, which include a clustered automation platform having one or more control servers connected to a local area control network, and a plurality of self-contained process interface systems configured to receive electrical signals from one or more field instruments and forward resulting data via an uplink to a local area input/output network. The clustered automation platform also includes an input/output processing and inferential modeling server connected to the local area input/output network and configured to process input/output signals of the plurality of self-contained process interface systems.
    Type: Application
    Filed: October 8, 2015
    Publication date: April 13, 2017
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: Sadiq M. SAIT, Ghalib A. AL-HASHIM
  • Patent number: 9558313
    Abstract: A system and method for global routing that includes receiving nets that need to be routed and capacity constraints, ordering, using processing circuitry, the nets, routing, using the processing circuitry, the nets based on a maze routing with framing method, determining, using the processing circuitry, whether the routing is congestion free, selecting, using the processing circuitry, a subset of the nets based on a game theory method when the routing is not congestion free, applying a rip-up and re-route process on the subset of the nets, and repeating the selecting and applying steps until the routing is congestion free.
    Type: Grant
    Filed: September 8, 2015
    Date of Patent: January 31, 2017
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Umair Farooq Siddiqi, Sadiq M. Sait
  • Patent number: 9482769
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. A “partitioning” quality of service is provided and the computer can be logically segregated into several “logical partitions” so that a computer can have several publisher nodes, serving several groups of compute nodes, and running different applications independently.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: November 1, 2016
    Assignees: Saudi Arabian Oil Company, King Fahd University of Petroleum and Minerals
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Publication number: 20160315800
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. Multiple data publishers or master nodes of a cluster have access to the same data source. Each of these publishers has an ownership strength quality of service, and the publisher with the highest ownership strength number is the designated publisher of the data to subscriber processor nodes of the cluster.
    Type: Application
    Filed: July 5, 2016
    Publication date: October 27, 2016
    Inventors: Raed Abdullah AIShaikh, Sadiq M. Sait
  • Patent number: 9429677
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. Multiple data publishers or master nodes of a cluster have access to the same data source. Each of these publishers has an ownership strength quality of service, and the publisher with the highest ownership strength number is the designated publisher of the data to subscriber processor nodes of the cluster.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: August 30, 2016
    Assignees: Saudi Arabian Oil Company, King Fahd University of Petroleum and Minerals
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Publication number: 20150362609
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. A “partitioning” quality of service is provided and the computer can be logically segregated into several “logical partitions” so that a computer can have several publisher nodes, serving several groups of compute nodes, and running different applications independently.
    Type: Application
    Filed: August 25, 2015
    Publication date: December 17, 2015
    Inventors: RAED ABDULLAH ALSHAIKH, Sadiq M. Sait
  • Publication number: 20150362619
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. Multiple data publishers or master nodes of a cluster have access to the same data source. Each of these publishers has an ownership strength quality of service, and the publisher with the highest ownership strength number is the designated publisher of the data to subscriber processor nodes of the cluster.
    Type: Application
    Filed: August 25, 2015
    Publication date: December 17, 2015
    Inventors: Raed Abdullah AIShaikh, Sadiq M. Sait
  • Patent number: 9134455
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: September 15, 2015
    Assignees: Saudi Arabian Oil Company, King Fahd University of Petroleum and Minerals
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Patent number: 9128211
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: September 8, 2015
    Assignees: Saudi Arabian Oil Company, King Fahd University of Petroleum and Minerals
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Publication number: 20150019188
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled.
    Type: Application
    Filed: September 19, 2014
    Publication date: January 15, 2015
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait
  • Publication number: 20150006137
    Abstract: High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled.
    Type: Application
    Filed: September 19, 2014
    Publication date: January 1, 2015
    Inventors: Raed Abdullah AlShaikh, Sadiq M. Sait