Shimadzu had ten patents in big data during Q4 2023. The patents filed by Shimadzu Corp in Q4 2023 include a data analysis method for generating trained models based on learning algorithms, a data processing apparatus for aligning measurement data sets using trigger signals, a monitoring system for analyzing and displaying operation status of an analysis device, a data analysis apparatus for analyzing FT-IR spectra with trained models, and a data processing system for displaying and manipulating image data on an information display device. GlobalData’s report on Shimadzu gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Shimadzu grant share with big data as a theme is 10% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data analysis method, data analysis system, and data analysis system server (Patent ID: US20230409980A1)
The patent filed by Shimadzu Corp. describes a data analysis method that involves storing different learning algorithm groups associated with specific types of measurement data and analysis, selecting a learning algorithm based on input information, and generating a trained model for analysis. The method includes steps for receiving training data, input information, selecting the learning algorithm, generating the trained model, and acquiring the analysis result based on the trained model.
Additionally, the patent includes claims for a data analysis system and server configured to perform data analysis between a system management company and a customer. The system involves a server that stores learning algorithm groups, receives input information and training data, selects the learning algorithm, generates a trained model, and acquires the analysis result. This system allows for efficient analysis of measurement data acquired from a measuring device by utilizing different learning algorithms based on the type of measurement data and analysis required.
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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.
