PATENT CLAIM ANALYSIS

Application Number: 15869328
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["714", "764000"]

Abstract:
A bit-scale memory correcting method comprises steps: providing a memory with a plurality of memory bytes each having M bits, wherein M is a positive integer; adding a correcting byte to each memory byte, wherein the correcting byte has N correcting bits, and wherein N is a positive integer and smaller than M; detecting whether there is any underperforming bit in all the memory bytes and correcting bytes; if no, terminating memory correction; if yes, using the non-underperforming bits of the correcting byte to replace the underperforming bits of the memory byte, wherein the quantity of the non-underperforming bits of the correcting byte is corresponding to the quantity of the underperforming bits of the memory byte. The present invention proposes a simple and fast memory bit correcting method to decrease the redundant bits for correcting memory bits.

Claim (Index 2):
The bit-scale memory correcting method according to  claim 1 , wherein said underperforming bits of said memory byte is burnt out or put to a non-0 and non-1 third state before said non-underperforming bits of said correcting byte are used to replace said underperforming bits of said memory byte, and wherein said underperforming bits of said correcting byte is labeled via burning them out or putting them to a non-0 and non-1 third state.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 86.0
- Lexical Diversity: 2.45902
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11817758', '12948816', '11395710', '13566285', '11945300']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3065105497264217
- 35 USC 102 Novelty (BERT): 0.4967586408756367
- Combined Prediction Score: 0.3255353588413432
- Mean Citation Score: 180.408348
- Max Citation Score: 201.76588
- Similarity Product: 123.87151911340716

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test