| S-Matrix Patent applications |
| Patent application number | Title | Published |
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| 20100292967 | METHOD AND SYSTEM THAT OPTIMIZES MEAN PROCESS PERFORMANCE AND PROCESS ROBUSTNESS - A method, system and computer readable medium are disclosed. The method, system and computer readable medium comprises providing a mathematically linked multi-step process for simultaneously determining operating conditions of a system or process that will result in optimum performance in both mean performance requirements and system robustness requirements. In a method and system in accordance with the present embodiment, the steps can be applied to any data array that contains the two coordinated data elements defined previously (independent variables and response variables), and for which a response prediction model can be derived that relates the two elements. The steps are applied to each row of the data array, and result in a predicted C | 11-18-2010 |
| 20100250147 | SYSTEM AND METHOD FOR AUTOMATING SCIENTIFIC AND ENGINEERING EXPERIMENTATION FOR DERIVING SURROGATE RESPONSE DATA - The present invention provides a system and method for automatically deriving unique surrogate response data from experiment results in which inherent data loss occurs in a sufficient number of the samples to disallow quantitative effects estimation at the experimenter's desired level of confidence for statistical significance. In part, the unique surrogate response data sets of the present invention have one or more of four primary characteristics including: each is numerically analyzable; each may be readily or directly obtained when inherent data loss occurs; each provides a response value for an experiment trial; and each provides information on the effect of a change made to the process or system that would have been obtainable if the experiment samples had had no inherent data loss. | 09-30-2010 |
| 20090276163 | SYSTEM AND METHOD FOR AUTOMATING SCIENTIFIC AND ENGINEERING EXPERIMENTATION FOR DERIVING SURROGATE RESPONSE DATA - The present invention provides a system and method for automatically deriving unique surrogate response data from experiment results in which inherent data loss occurs in a sufficient number of the samples to disallow quantitative effects estimation at the experimenter's desired level of confidence for statistical significance. In part, the unique surrogate response data sets of the present invention have four primary characteristics including: each is numerically analyzable; each may be more readily or directly obtained in which inherent data loss occurs; each provides a response value for an experiment trial; and each provides information on the effect of the change made to the process or system that would have been obtainable if the experiment samples had had no inherent data loss. | 11-05-2009 |
| 20090216506 | METHOD AND SYSTEM THAT OPTIMIZES MEAN PROCESS PERFORMANCE AND PROCESS ROBUSTNESS - A method, system and computer readable medium are disclosed. The method, system and computer readable medium comprises providing a mathematically linked multi-step process for simultaneously determining operating conditions of a system or process that will result in optimum performance in both mean performance requirements and system robustness requirements. In a method and system in accordance with the present embodiment, the steps can be applied to any data array that contains the two coordinated data elements defined previously (independent variables and response variables), and for which a response prediction model can be derived that relates the two elements. The steps are applied to each row of the data array, and result in a predicted C | 08-27-2009 |
