PATENT CLAIM ANALYSIS

Application Number: 15890187
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["714", "755000"]

Abstract:
Methods and systems for enabling recovery of lost packets transmitted over a communication network. In one embodiment, a device includes a processor and a transmitter. The processor is configured to calculate a row parity packet (RPP) and a diagonal parity packet (DPP) for n packets. Each of RPP, DPP, and the n packets comprises n segments. The processor utilizes each packet, from among the n packets, to update parity values in RPP and DPP in such a way that each segment in the packet is used to update one segment in RPP and at most one segment in DPP. The transmitter transmits the n packets, RPP, and DPP over the communication network. Receiving any subset of n member of a set comprising: RPP, DPP, and the n packets, enables recovery of two lost packets.

Claim (Index 17):
A method for enabling recovery of lost packets transmitted over a communication network, comprising:\n receiving n packets; calculating, by a processor, parity data for the n packets; wherein the parity data comprises a row parity packet (RPP) and a diagonal parity packet (DPP) for the n packets; wherein each of RPP, DPP, and the n packets comprises n segments; and wherein calculating RPP and DPP utilizes each packet, from among the n packets, to update parity values in RPP and DPP in such a way that each segment in the packet is used to update one segment in RPP and at most one segment in DPP; and transmitting, by a transmitter, the n packets, RPP, and DPP over the communication network.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 2.4
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15890203', '15890219', '15890245', '10215527', '12358181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3235357230126334
- 35 USC 102 Novelty (BERT): 0.5920405710488416
- Combined Prediction Score: 0.3503862078162543
- Mean Citation Score: 341.244878
- Max Citation Score: 557.9512
- Similarity Product: 448.7601225970269

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

Dataset: test