# US 12,112,179 B1 · Apparatus and method for dynamic reconfiguration of process parameter

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- Number: US 12,112,179 B1
- Document ID: US12112179B1
- Status: Granted
- Kind: B1
- Application number: 18/609,711
- Filed: 2024-03-19
- Granted: 2024-10-08
- Earliest claimed: 2024-03-19
- Assignees: The Strategic Coach Inc.
- Applicants: The Strategic Coach Inc.
- Inventors: Barbara Sue Smith; Daniel J. Sullivan
- Web page: https://patentgrep.com/patent/US12112179B1

## CPC

- G06F 9/44505: {Configuring for program initiating, e.g. using registry, configuration files}
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

The apparatus employs adaptive machine learning for dynamic reconfiguration of process parameter. It consists of a processor and memory. Initially, it detects a dependency factor as a function of a plurality of operational factors of a process. Then it determines a primary factor and at least a secondary factor as a function of the dependency factor. Using at least a processor, modify a processor, the primary factor as a function of a specified modification protocol. Further, it eliminates the at least a secondary factor. Last, using the at least a processor, it generates using the at least a processor, a modification set of the operational factors.

## Claims

### Claim 1

An apparatus for dynamic reconfiguration of process parameter, wherein the apparatus comprises:
at least a processor; and
a memory communicatively connected to the at least a processor, wherein the memory contain instructions configuring the at least a processor to:
detect a dependency factor as a function of a plurality of operational factors of a process;
determine a primary factor and at least a secondary factor as a function of the dependency factor;
modify the primary factor as a function of a specified modification protocol;
eliminate the at least a secondary factor; and
generate a modification set of the operational factors.

### Claim 2 (depends on 1)

The apparatus of claim 1, wherein detecting the dependency factor comprises analyzing statistical dependencies.

### Claim 3 (depends on 1)

The apparatus of claim 1, wherein the primary factor comprises at least one secondary factor as a function of an operation value.

### Claim 4 (depends on 1)

The apparatus of claim 1, wherein the specified modification protocol is configured to calibrate the primary factor operation parameters.

### Claim 5 (depends on 1)

The apparatus of claim 1, wherein the apparatus is further configured to calculate a upper and lower bound estimates as a function of the at least an operational factors.

### Claim 6 (depends on 1)

The apparatus of claim 1, wherein modifying the primary factor further comprises substituting the at least a operational factor with an alternative variable.

### Claim 7 (depends on 1)

The apparatus of claim 1, wherein eliminating the at least a secondary factor further comprises removing a set of non-essential element to the primary factor.

### Claim 8 (depends on 1)

The apparatus of claim 1, wherein the modification set further comprises reflecting recalibrated primary factor and the streamlined secondary factors.

### Claim 9 (depends on 1)

The apparatus of claim 1, wherein the apparatus is further configured to reevaluate the optimization process as a function of feedback data derived from the modification set.

### Claim 10 (depends on 1)

The apparatus of claim 1, wherein the apparatus is further configured to apply an algorithmic assessment to the plurality of operational factors.

### Claim 11

A method for dynamic reconfiguration of process parameter, the method comprising:
detecting, using at least a processor, a dependency factor as a function of a plurality of operational factors;
determining, using the at least a processor, a primary factor and at least a secondary factor as a function of the dependency factor;
modifying, using the at least a processor, the primary factor as a function of a specified modification protocol;
eliminating, using the at least a processor, the at least a secondary factor; and
generating, using the at least a processor, a modification set of the operational factors.

### Claim 12 (depends on 11)

The method of claim 11, wherein detecting the dependency factor comprises analyzing statistical dependencies.

### Claim 13 (depends on 11)

The method of claim 11, wherein the primary factor comprises at least one secondary factor as a function of an operation value.

### Claim 14 (depends on 11)

The method of claim 11, wherein the specified modification protocol, further comprising calibrating, using the at least a processor, the primary factor operation parameters.

### Claim 15 (depends on 11)

The method of claim 11, further comprises calculating, using the at least a processor, a upper and a lower bound estimates as a function of the at least an operational factors.

### Claim 16 (depends on 11)

The method of claim 11, wherein modifying the primary factor further comprises substituting the at least a operational factor with an alternative variable.

### Claim 17 (depends on 11)

The method of claim 11, wherein eliminating the at least a secondary factor further comprises removing a set of non-essential element to the primary factor.

### Claim 18 (depends on 11)

The method of claim 11, wherein the modification set further comprises reflecting, using the at least a processor, recalibrated primary factor and the streamlined secondary factors.

### Claim 19 (depends on 11)

The method of claim 11, further comprises reevaluating, using the at least a processor, the optimization process as a function of feedback data derived from the modification set.

### Claim 20 (depends on 11)

The method of claim 11, further comprises applying, using the at least a processor, an algorithmic assessment to the plurality of operational factors.
