Description:... The following analysis illustrates the underlying trends and relationships of U.S. issued patents of the subject company. The analysis employs two frequently used patent classification methods: US Patent Classification (UPC) and International Patent Classification (IPC). Aside from assisting patent examiners in determining the field of search for newly submitted patent applications, the two classification methods play a pivotal role in the characterization and analysis of technologies contained in collections of patent data. The analysis also includes the company’s most prolific inventors, top cited patents as well as foreign filings by technology area.
The following analysis illustrates the underlying trends and relationships of U.S. issued patents of the subject company. The analysis employs two frequently used patent classification methods: US Patent Classification (UPC) and International Patent Classification (IPC). Aside from assisting patent examiners in determining the field of search for newly submitted patent applications, the two classification methods play a pivotal role in the characterization and analysis of technologies contained in collections of patent data. The analysis also includes the company’s most prolific inventors, top cited patents as well as foreign filings by technology area.
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شماره کارت : 6104337650971516 شماره حساب : 8228146163 شناسه شبا (انتقال پایا) : IR410120020000008228146163 بانک ملت به نام مهدی تاج دینی