PATENT CLAIM ANALYSIS

Application Number: 15900906
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["360", "055000"]

Abstract:
According to an embodiment, a magnetic disk, a magnetic head, an actuator and a processing unit are provided. The processing unit acquires a feature amount from a position error between a demodulated position and an estimated position of the magnetic head based on a frequency resonance characteristic of the actuator or a frequency characteristic of vibration caused by disturbance of the actuator and, based on the feature amount, sets an on-track determination number used for confirming an on-track state of the magnetic head after seeking.

Claim (Index 17):
A method of setting an on-track determination number of a magnetic disk device comprising a magnetic disk, a magnetic head that accesses the magnetic disk, and an actuator that causes the magnetic head to seek on the magnetic disk, the method being performed in the magnetic disk device, and the method comprising:\n acquiring a feature amount from a position error between a current position and an estimated position of the magnetic head based on a frequency resonance characteristic of the actuator or a frequency characteristic of vibration caused by disturbance of the actuator; and based on the feature amount, setting an on-track determination number used for confirming an on-track state of the magnetic head after seeking; wherein the position error is input to a filter that has a pass band of a frequency component of the position error, the pass band being set based on the frequency resonance characteristic of the actuator or the frequency characteristic of vibration caused by disturbance of the actuator, and the feature amount is output from the filter, wherein an evaluation value is predicted based on a result of integrating the feature amount of each sample point, and wherein the on-track determination number is set based on the evaluation value.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 88.0
- Lexical Diversity: 1.91667
- Patent Class: 360.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10462803', '12329404', '15667933', '11045496', '11486307']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6900446669247466
- 35 USC 102 Novelty (BERT): 0.4675913977435046
- Combined Prediction Score: 0.6677993400066224
- Mean Citation Score: 153.324686
- Max Citation Score: 159.29742
- Similarity Product: 124.3978431759953

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