PATENT CLAIM ANALYSIS

Application Number: 15975303
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["369", "053410"]

Abstract:
Methods, apparatuses and systems for detecting defective sectors on a recording medium. A defective sector detector apparatus comprises an error-corrected ECC symbol number calculator and a defective sector determination unit. The error-corrected ECC symbol number calculator is configured to count a total number of error correcting code (“ECC”) symbols that are error-corrected in data read from data sectors on a track of a recording medium of the storage device. The defective sector determination unit is configured to receive the total number of ECC symbols that are error-corrected for a data sector from the error-corrected ECC symbol number calculator and determine whether the total number of ECC symbols that are error-corrected exceeds a threshold value. If it is determined that the total number of ECC symbols that are error-corrected exceeds the threshold value, the defective sector determination unit outputs information indicating the data sector to be a defective sector.

Claim (Index 18):
The storage device of  claim 15 , wherein the memory contains further code objects configured to:\n analyze a distribution of defective data sectors on the track to determine whether an area of the track containing the defective data sectors is greater than a second threshold; upon determining that the area of the track is greater than the second threshold, determine whether corresponding defective areas occur in one or more consecutive adjacent tracks of the track; and upon determining that corresponding defective areas occur in one or more consecutive adjacent tracks of the track, determine the area of the track and the corresponding areas of the one or more consecutive adjacent tracks including the defective data sectors to be a massive defective area.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 93.0
- Lexical Diversity: 2.44615
- Patent Class: 369.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13240554', '15339397', '12938547', '12938544', '09727031']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7242517331394113
- 35 USC 102 Novelty (BERT): 0.5719974469970998
- Combined Prediction Score: 0.7090263045251801
- Mean Citation Score: 367.21024
- Max Citation Score: 455.86578
- Similarity Product: 357.2327158049512

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