PATENT CLAIM ANALYSIS

Application Number: 15761972
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["711", "111000"]

Abstract:
In the present invention, computational efficiency degradation is suppressed when diagnosing a shared storage area in a vehicle control device in which a plurality of computing units are employed. This vehicle control device suppresses computational efficiency degradation by changing an access destination in a storage device while diagnosing a shared storage area that the storage device has.

Claim (Index 2):
The vehicle control device according to  claim 1 , wherein\n the memory diagnosis unit is configured as a memory diagnosis program that is provided with a processing function of diagnosing the shared storage area, the first computing unit diagnoses the shared storage area by executing the memory diagnosis unit, the vehicle control device further includes a notification unit for, when the first computing unit starts executing the memory diagnosis unit, notifying the access destination setting unit that the shared storage area is being diagnosed, and when the access destination setting unit is notified by the notification unit that the shared storage area is being diagnosed, the access destination setting unit sets the access destination address in such a manner that the second computing unit accesses the auxiliary storage unit as an alternative to the area to be diagnosed.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 90.0
- Lexical Diversity: 1.57895
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14379649', '13899102', '12594246', '12676227', '16300478']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4696063410422192
- 35 USC 102 Novelty (BERT): 0.4899573067384372
- Combined Prediction Score: 0.471641437611841
- Mean Citation Score: 140.90986800000005
- Max Citation Score: 146.2534
- Similarity Product: 94.66541555001736

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test