# US 12,002,348 B2 · Computing method

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- Number: US 12,002,348 B2
- Document ID: US12002348B2
- Status: Granted
- Kind: B2
- Application number: 17/882,587
- Filed: 2022-08-07
- Published: 2024-02-08
- Granted: 2024-06-04
- Earliest claimed: 2022-08-07
- Applicants: Andrew Magdy Kamal
- Inventors: Andrew Magdy Kamal
- Web page: https://patentgrep.com/patent/US12002348B2

## CPC

- G08C 17/02: using a radio link
- G06F 15/78: comprising a single central processing unit
- G08C: TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS (fluid pressure transmitting systems F15B; mechanical means for transferring the output of a sensing member into a different variable G01D5/00; mechanical control systems G05G)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

A computing method comprising the use of a type of integrated circuit that implements application specific instructions for processing computation on a deterministic pattern based off inner signal communication. Whereas this architecture for a chipset design can connect to other similar architecture chipsets and process data asynchronously and in parallel. As signals are being transmitted across any networking protocol, data is processed through network packets for computationally valid connectivity events as in signal in and signal out.

## Claims

### Claim 1

A computing method comprising application of integrated circuits for implementing application specific instructions for computation processing comprising the steps of:
i. initializing data for processing on at least a primary development board,
ii. inputting a signal into a data collection component,
iii. facilitating a signal set speed on said primary development board to prevent deviation from the order of operations for set computational processes, wherein said signal set speed is adapted to maintain synchronization across a network comprising the primary development board and at least a secondary development board,
iv. utilizing the Kolmogorov theorem or complexity for creating a collection of sequences for interval complexity in relation to set processes being computed on signal,
v. measuring time complexity by real numbers and network data access, wherein the time complexity measurement involves a data logger and Microcontroller Unit (MCU) for processing signal data to have a set memory,
vi. establishing and optimizing multiscale entropy based off differences in calculation types or processes and data that needs to be ran, establishing a grid or peer to peer network and optimizing processing across compatible computing methods and chipsets by intelligently manipulating power of computing systems to affect computational speed or bandwidth to maintain synchronization of distributed computing processes.

### Claim 2 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein the said integrated circuits implements the application specific instructions on a deterministic pattern based off inner signal communication.

### Claim 3 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein the said signal set speed utilizes the Nash Equilibrium equation and mathematical logic in achieving the prevention of deviation from the order of operations for set computational processes.

### Claim 4 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein the said measurement of time complexity involves the data logger and the MCU for processing signal data to have the set memory is established and said measurement is considered.

### Claim 5 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein the establishment of multiscale entropy is achieved by having a plurality of processes and signal outputs being computed given the differences in time fluctuations for complexity, and multiple time frames for computation within signals.

### Claim 6 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein the establishment of the grid or peer to peer network is achieved by running the networks in parallel between each other rather than individually.

### Claim 7 (depends on 1)

An apparatus configured to implement the method of claim 1, wherein higher optimized speeds and range of networks as well as more scalable and optimized computations are achieved by facilitating more compatible architectures within the network.

### Claim 8 (depends on 1, 3)

An apparatus configured to implement the method of claim 1 or 3, wherein the said signal set speed achieves the prevention of deviation from the order of operations for set computational processes using the Nash Equilibrium equation and mathematical logic.
