PATENT CLAIM ANALYSIS

Application Number: 15973202
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["709", "221000"]

Abstract:
The present disclosure discloses a system that automatically identifies the most efficient times to upgrade software associated with an IoT device. The system employs machine-learning mechanisms to precisely identify the specific time interval where there will be the least impact on the functionality of the IoT device or a cluster of IoT devices.

Claim (Index 3):
The method of  claim 1 , further comprising:\n identifying, using the computing device, a cluster of IoT devices from the plurality of IoT devices; identifying the at least one IoT device from the cluster of IoT devices.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 93.0
- Lexical Diversity: 1.30952
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14187102', '15413158', '15625029', '15645784', '15921684']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2353374059777683
- 35 USC 102 Novelty (BERT): 0.4471026069354405
- Combined Prediction Score: 0.2565139260735356
- Mean Citation Score: 118.676619
- Max Citation Score: 129.32709
- Similarity Product: 102.78812835142853

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

Dataset: test