Nissan Motor had two patents in big data during Q4 2023. The patent filed by Nissan Motor Co Ltd in Q4 2023 describes a data processing system that includes input data processing, intermediate data generation, and output data generation units. The system converts input data based on a conversion rule, such as adding dummy data to increase the number of values. The intermediate data generated includes significant values and dummy values, with the output data generation unit selecting the significant values for the final output. GlobalData’s report on Nissan Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Nissan Motor grant share with big data as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data processing system, model generation device, data processing method, model generation method, and program (Patent ID: US20230316073A1)
The patent filed by Nissan Motor Co Ltd describes a data processing system that includes input data processing, intermediate data generation, and output data generation units. The system acquires input data, converts it according to a conversion rule (such as adding dummy data), generates intermediate data, and then selects significant values to generate output data. The system is designed to handle abnormal input data and includes a model generation device for training data formed of normal and abnormal data to create a model used in the processing system.
The data processing system comprises two computers with memory and processors, where the first computer acquires and processes input data, while the second computer generates output data by performing arithmetic operations on the intermediate data. The system is capable of handling abnormal input data by ensuring that values in the intermediate data that are not selected as output data fall within a certain range. Additionally, the system includes a model generation device that uses training data to create a model for processing the input data. The model is trained multiple times using normal and abnormal data, with the training data being converted by the conversion rule before training.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
