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 1):
A vehicle control device that controls operation of a vehicle, the vehicle control device comprising:\n first and second computing units that execute control computation for controlling the operation of the vehicle; a memory diagnosis unit that diagnoses a shared storage area shared by the first and second computing units; an auxiliary storage unit that stores a copy of data stored in an area to be diagnosis the area being diagnosed by the memory diagnosis unit; and an access destination setting unit that sets an access destination address in such a manner that while the memory diagnosis unit diagnoses the area to be diagnosed, the first and second computing units execute the control computation by using the copy stored in the auxiliary storage unit as an alternative to the data stored in 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: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14379649', '13899102', '12594246', '12676227', '16300478']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4449492086389628
- 35 USC 102 Novelty (BERT): 0.4695322274668724
- Combined Prediction Score: 0.4474075105217537
- Mean Citation Score: 140.90986800000005
- Max Citation Score: 146.2534
- Similarity Product: 109.81819551472664

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