PATENT CLAIM ANALYSIS

Application Number: 15952626
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "108000"]

Abstract:
A system and method for selecting a test vector for use in classification of electronic components. The system and method can quickly and automatically select a test vector that, when applied to a set of training electronic components, causes the electronic components to produce side channel information that can be used to build a classifier that accurately classifies a set of test electronic components.

Claim (Index 2):
The method of  claim 1  including optimizing soft parameters via machine learning, wherein soft parameters include signal processing and classifier choice.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 91.0
- Lexical Diversity: 1.7
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15696667', '15178708', '12890789', '15223283', '15473980']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2175847197130847
- 35 USC 102 Novelty (BERT): 0.5016568265699994
- Combined Prediction Score: 0.2459919303987762
- Mean Citation Score: 204.446454
- Max Citation Score: 229.14627
- Similarity Product: 146.03600018904984

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

Dataset: test