PATENT CLAIM ANALYSIS

Application Number: 16075406
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["333", "185000"]

Abstract:
A filter for both a differential mode and a common mode is provided. A filter for both a differential mode and a common mode according to an embodiment of the present invention comprises: a pair of series inductors having a plurality of coil patterns; two pairs of parallel capacitors connected to opposite ends of the pair of inductors, respectively; and a pair of series capacitors connected to the pair of inductors in parallel. Therefore, the filter can be used in both a common mode and a differential mode, and can remove noise without using an additional filter in an application having a comparatively high data processing speed.

Claim (Index 13):
The filter for both a differential mode and a common mode of  claim 6 , wherein:\n the pair of second capacitor electrodes and the pair of third capacitor electrodes are disposed on the same sheet to be spaced apart from each other; the one first capacitor electrode is disposed to face the pair of second capacitor electrodes and the pair of third capacitor electrodes; and the coil pattern of the sheet nearest to the capacitor part among the inductor part is disposed to face the pair of second capacitor electrodes or the pair of third capacitor electrodes so as to form the pair of series capacitors.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 96.0
- Lexical Diversity: 2.10909
- Patent Class: 333.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14868491', '13916953', '12884904', '15171184', '14754820']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8673039400987114
- 35 USC 102 Novelty (BERT): 0.4955997317481821
- Combined Prediction Score: 0.8301335192636584
- Mean Citation Score: 220.946242
- Max Citation Score: 241.73167
- Similarity Product: 171.58119819809437

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