PATENT CLAIM ANALYSIS

Application Number: 15992213
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-09
Patent Classification: ["716", "103000"]

Abstract:
A model-building method comprises following operations: reading a top netlist and a block model, wherein the top netlist comprises a first input node, a first output node and a multivibrator, the block model comprises a input node and a output node; obtaining a first subnetlist from the top netlist, wherein the first subnetlist comprises a component coupled between the input node and the first input node or the multivibrator; obtaining a second subnetlist from the top netlist, wherein the second subnetlist comprises a component coupled between the output node and the first output node or the multivibrator; obtaining a third subnetlist from the top netlist, wherein the third subnetlist comprises a component coupled between a clock input node of the multivibrator and a top clock input node of the top netlist; generating a top ILM according to the first to the third subnetlist.

Claim (Index 5):
The model-building method of  claim 3 , wherein the third subnetlist couples with a clock input node of the previous multivibrator of the block model, a clock input node of the next stage multivibrator of the block model, a clock input node of the first multivibrator of the top netlist, and a clock input node of the last stage multivibrator of the top netlist.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 93.0
- Lexical Diversity: 3.97436
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15709463', '11683495', '13649909', '15002808', '12054317']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3473819548541196
- 35 USC 102 Novelty (BERT): 0.476659656396515
- Combined Prediction Score: 0.3603097250083591
- Mean Citation Score: 165.79086
- Max Citation Score: 203.6789
- Similarity Product: 137.0864450735748

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