PATENT CLAIM ANALYSIS

Application Number: 15969702
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["370", "350000"]

Abstract:
Methods and apparatuses for adaptive timing synchronization are described. In one example, a method includes determining a data communications packet length relative to a data communications slot length in a time-slotted data communications connection to identify a duty cycle parameter. The method further includes transmitting data communications packets between a first device and a second device utilizing an adaptive timing method. The adaptive timing method includes selecting from a random timing communications method or a synchronization timing communications method responsive to the duty cycle parameter being above or below a predetermined value.

Claim (Index 20):
The method of  claim 19 , wherein selecting from between the frame synchronization timing communications method and the repetition interval synchronization timing communications method comprises:\n determining a sum of data communications packet lengths including retransmissions transmitted during a repetition interval relative to a length of the repetition interval in the time-slotted data communications connection to generate a second duty cycle parameter; selecting the frame synchronization timing communications method responsive to the second duty cycle parameter being below a second predetermined value; and selecting the repetition interval synchronization timing communications method responsive to the second duty cycle parameter being above the second predetermined value.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 1.83019
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11954106', '13667913', '10139609', '12717196', '14882180']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5451679430856844
- 35 USC 102 Novelty (BERT): 0.4789243576818083
- Combined Prediction Score: 0.5385435845452968
- Mean Citation Score: 141.830872
- Max Citation Score: 145.20619
- Similarity Product: 96.62682397197186

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