PATENT CLAIM ANALYSIS

Application Number: 15981841
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["711", "170000"]

Abstract:
A memory quality engine can improve the operation of a memory system by setting more effective operating parameters, disabling or removing memory devices unable to meet performance requirements, and providing evaluations between memory populations. These improvements can be accomplished by converting quality measurements of a memory population into CDF-based data, formulating comparisons of the CDF-based data to metrics for quality analysis, and applying the quality analysis. In some implementations, the metrics for quality analysis can use one or more thresholds, such as a system trigger threshold or an uncorrectable error correction condition threshold, which are set based on the error correction capabilities of a memory system. Formulating the comparison to these metrics can include determining an intersection between the CDF-based data and one of the thresholds.

Claim (Index 7):
The method of  claim 1 , wherein fitting the function to at least the portion of the CDF-based data comprises:\n identifying a section of the CDF-based data where the CDF-based data approximates, within a threshold amount, a line; and fitting a linear function to the identified section of the CDF-based data.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 1.80263
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15981835', '12522175', '12944871', '14453263', '15258437']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.536160889078307
- 35 USC 102 Novelty (BERT): 0.5079415452251932
- Combined Prediction Score: 0.5333389546929955
- Mean Citation Score: 156.61180880000003
- Max Citation Score: 295.80124
- Similarity Product: 235.7610788293981

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

Dataset: test