PATENT CLAIM ANALYSIS

Application Number: 15868579
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["714", "747000"]

Abstract:
An information processing device includes: a receiver configured to receive information from another information processing device that mutually communicates the information; and a processor configured to process the information received by the receiver, the receiver: detects occurrence of a burst error in the received information; sequentially writes the received information in a first memory; stops the writing of the information to the first memory based on detection of the burst error; shuts off transmission of the information received from the another information processing device based on a reproducing instruction; and transmits the information read from the first memory.

Claim (Index 16):
The burst error producing method according to  claim 10 , further comprising:\n checking the information transmitted from the another information processing device; outputting error detection information each time an error is detected; counting a number of outputs of the error detection information; reading a counter value at a first time interval; calculating an increase rate of the counter value; and detecting the occurrence of the burst error when the calculated increase rate exceeds a first threshold value.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.2766
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12111217', '11937396', '12510007', '11085442', '09610783']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.248804307558973
- 35 USC 102 Novelty (BERT): 0.4718969316868152
- Combined Prediction Score: 0.2711135699717573
- Mean Citation Score: 102.7116102
- Max Citation Score: 106.118675
- Similarity Product: 67.29187798573226

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