Patents by Inventor Gregory D. Martin
Gregory D. Martin 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: 20240081802Abstract: Various methods and devices are provided for allowing multiple surgical instruments to be inserted into sealing elements of a single surgical access device. The sealing elements can be movable along predefined pathways within the device to allow surgical instruments inserted through the sealing elements to be moved laterally, rotationally, angularly, and vertically relative to a central longitudinal axis of the device for ease of manipulation within a patient's body while maintaining insufflation.Type: ApplicationFiled: November 16, 2023Publication date: March 14, 2024Inventors: Mark S. Ortiz, David T. Martin, Matthew C. Miller, Mark J. Reese, Wells D. Haberstich, Carl Shurtleff, Charles J. Scheib, Frederick E. Shelton, IV, Jerome R. Morgan, Daniel H. Duke, Daniel J. Mumaw, Gregory W. Johnson, Kevin L. Houser
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Patent number: 9329582Abstract: A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.Type: GrantFiled: September 10, 2012Date of Patent: May 3, 2016Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Patent number: 8718976Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: GrantFiled: August 1, 2011Date of Patent: May 6, 2014Assignee: HSB Solomon Associates, LLCInventors: John P. Havener, Gregory D. Martin, Russell F. Brown, William Horner, Richard B. Jones
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Patent number: 8577481Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: GrantFiled: October 6, 2011Date of Patent: November 5, 2013Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Publication number: 20130253685Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: ApplicationFiled: March 6, 2013Publication date: September 26, 2013Inventors: John P. HAVENER, Gregory D. MARTIN, Russell F. BROWN, William HORNER, Richard B. JONES
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Publication number: 20130179233Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: ApplicationFiled: March 6, 2013Publication date: July 11, 2013Inventors: John P. HAVENER, Gregory D. MARTIN, Russell F. Brown, William HORNER, Richard B. JONES
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Publication number: 20130179234Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: ApplicationFiled: March 6, 2013Publication date: July 11, 2013Inventors: John P. HAVENER, Gregory D. MARTIN, Russell F. Brown, William HORNER, Richard B. JONES
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Patent number: 8417480Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: GrantFiled: August 2, 2011Date of Patent: April 9, 2013Inventors: John P. Havener, Gregory D. Martin, Russell F. Brown, William Horner, Richard B. Jones
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Publication number: 20130055021Abstract: A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.Type: ApplicationFiled: September 10, 2012Publication date: February 28, 2013Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Patent number: 8311673Abstract: A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.Type: GrantFiled: February 21, 2006Date of Patent: November 13, 2012Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Publication number: 20120029677Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: ApplicationFiled: August 1, 2011Publication date: February 2, 2012Applicant: HSB SOLOMON ASSOCIATESInventors: John P. Havener, Gregory D. Martin, Russell F. Brown, William Horner, Richard B. Jones
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Publication number: 20120022921Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: ApplicationFiled: August 2, 2011Publication date: January 26, 2012Applicant: HSB SOLOMON ASSOCIATESInventors: John P. Havener, Gregory D. Martin, Russell F. Brown, William Horner, Richard B. Jones
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Publication number: 20120022670Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: ApplicationFiled: October 6, 2011Publication date: January 26, 2012Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 8036763Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: GrantFiled: January 9, 2009Date of Patent: October 11, 2011Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 7991577Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.Type: GrantFiled: October 31, 2007Date of Patent: August 2, 2011Assignee: HSB Solomon Associates, LLPInventors: John P. Havener, Gregory D. Martin, Russell F. Brown, William Horner, Richard B. Jones
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Patent number: 7899657Abstract: System and method for parameterizing one or more steady-state models each having a plurality of model parameters for mapping model input to model output through a stored representation of an in-situ hydrocarbon reservoir. For each model, training data representing operation of the reservoir is provided including input values and target output values. A next input value(s) and next target output value are received from the training data. The model is parameterized with the input value(s) and target output value, and derivative constraints imposed to constrain relationships between the input value(s) and a resulting model output value, using an optimizer to perform constrained optimization on the parameters to satisfy an objective function subject to the derivative constraints. The receiving and parameterizing are performed iteratively, generating a parameterized model.Type: GrantFiled: January 24, 2003Date of Patent: March 1, 2011Assignee: Rockwell Automoation Technologies, Inc.Inventor: Gregory D. Martin
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Patent number: 7610108Abstract: A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.Type: GrantFiled: February 21, 2006Date of Patent: October 27, 2009Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Patent number: D609479Type: GrantFiled: June 29, 2009Date of Patent: February 9, 2010Assignee: Innovative Library Concepts, Inc.Inventors: Gregory D. Martin, Dan Fragoules
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Patent number: D609928Type: GrantFiled: July 20, 2009Date of Patent: February 16, 2010Assignee: Innovative Library Concepts, Inc.Inventors: Gregory D. Martin, Dan Fragoules
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Patent number: D609929Type: GrantFiled: July 20, 2009Date of Patent: February 16, 2010Assignee: Innovative Library Concepts, Inc.Inventors: Gregory D. Martin, Dan L. Fragoules