PATENT CLAIM ANALYSIS

Application Number: 15973563
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-08
Patent Classification: ["708", "252000"]

Abstract:
The present invention provides a method of generating a sequence of pseudo-random numbers which are difficult to predict. The method includes: (i) generating a plurality of candidate pseudo-random numbers by a respectively corresponding plurality of (differently structured) linear feedback shift registers; (ii) generating a “selector number” from one or more additional linear feedback shift registers; and (iii) selecting a candidate number from the plurality of candidate numbers, based on the “selection number” to produce a selected pseudo-random number for output.

Claim (Index 1):
A computer system comprising:\n a processor(s) set; and a computer readable storage medium; wherein:\n the processor set is structured, located, connected and/or programmed to run program instructions stored on the computer readable storage medium; and \n the program instructions include instructions to perform:\n receiving, by a selector, a plurality of pseudo-random numbers (PRNs) including a first pseudo-random number (PRN), a second PRN, and a third PRN; \n selecting, from the plurality of PRNs, a selected PRN, based at least in part upon the first PRN; and \n outputting the selected PRN; \n wherein:\n the plurality of PRNs are generated by a corresponding plurality of pseudorandom number generators (PRNGs) respectively including a first PRNG, a second PRNG, and a third PRNG, \n feedback configurations of the first PRNG, the second PRNG and the third PRNG are mutually unique, \n the second PRNG is a Fibonacci linear feedback shift register (LFSR), \n the third PRNG is a Galois LFSR, \n a full PRN generated by a PRNG of the plurality of PRNGs, the full PRN having a length of n bits, is partitioned into two or more PRNs having respective lengths of less than n bits, and \n \u2003a PRNG of the plurality of PRNGs is provided with a different seed each time a random number is generated by the PRNG.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.75
- Patent Class: 708.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15813286', '15289211', '15801502', '13026557', '14737471']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4567163689871913
- 35 USC 102 Novelty (BERT): 0.5247642908500524
- Combined Prediction Score: 0.4635211611734775
- Mean Citation Score: 236.413516
- Max Citation Score: 334.34314
- Similarity Product: 291.6874671732068

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test