PATENT CLAIM ANALYSIS

Application Number: 15873908
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["714", "699000"]

Abstract:
A method for determining two bits errors in transmission of 128 bits and the device for realization of this method is provided. By the method and device, the two error bits transferred bits can be determined and corrected by using least bits in operation. Therefore, the amount of data in transmission is increased with a least quantity and thus the transmission quality is not affected.

Claim (Index 8):
A method for two bit error calibration of 128 bit transfer by using the device defined in  claim 1 , where the method comprises the following steps of:\n before storing a data of 128 bits into the memories, the operator dividing the 128 bits of bit into 32 data bit sets with each set having 4 bits; and deriving the calibration bits cb0 to cb15; the dividing data being stored into the memories and the calibration chips; transferring the data in the memories and the calibration chips to the data bus which receives these data from the 64 receiving ports thereof; 128 bit data being received in two times from the 64 receiving ports; based on the receiving 128 bit data in the receiving end and originally stored in the memories, the comparator calculating the checksum and bit sums; if there are two bit errors in the received 128 bit as comparing from the bits stored in the memories, the checksums and bit sums calculated from by the comparator and transferred from the calibration chips will exist differences; and then the data set and the position having two bit errors being detected; then changing the bit from 0 to 1, or from 1 to 0 will correct the bit error;

Metadata:
- Claim Count in Document: 35.0
- Percentile: 86.0
- Lexical Diversity: 1.66667
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12124529', '15514112', '15551912', '09948872', '09948890']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2758601216918802
- 35 USC 102 Novelty (BERT): 0.5055038033728619
- Combined Prediction Score: 0.2988244898599784
- Mean Citation Score: 190.159694
- Max Citation Score: 206.22365
- Similarity Product: 124.91539612858892

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