PATENT CLAIM ANALYSIS

Application Number: 15769499
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["356", "242100"]

Abstract:
To count cords embedded in a rubber sheet with good working efficiency while improving the reliability and accuracy, a method includes a step S 1  of acquiring raw waveform data D 1  by scanning the outer surface of the rubber sheet with a displacement sensor, a step S 2  of obtaining first corrected data D 2  by performing a moving average processing on the raw waveform data D 1 , a step S 3  of obtaining second corrected data D 3  by converting the amplitude center j of waveform of the first corrected data D 2  into a straight line, a step S 4  of obtaining concave-center-position data D 4  in which the concave-center-positions Q between the cords are defined by positions of lowest points of valleys of the waveform of the second corrected data D 3 , a step S 5  of obtaining first corrected concave-center-position data D 5  in which, by comparing intervals K between the Q with an upper threshold Kmax and lower threshold Kmin therefor, the concave-center-positions Q are added/deleted, and a step S 5  of obtaining second corrected concave-center-position data D 6  in which, by comparing the total number (m) of the concave-center-positions Q in the first corrected concave-center-position data D 5 , with the number (n) of the cords  3 , the concave-center-positions Q are added/deleted.

Claim (Index 3):
The method for counting cords in a rubber sheet as set forth in  claim 1 , wherein, in the step (S 5 ), the upper threshold Kmax is in a range of 120-150% of an average pitch distance of said cords, and the lower threshold Kmin is in a range of 50-80% of the average pitch distance of said cords.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 91.0
- Lexical Diversity: 2.72093
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15491416', '15491358', '15491362', '15491360', '12440568']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6675405343342689
- 35 USC 102 Novelty (BERT): 0.503498727227396
- Combined Prediction Score: 0.6511363536235816
- Mean Citation Score: 169.48461400000005
- Max Citation Score: 185.77051
- Similarity Product: 114.29056553092838

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