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Forecasting of Quantum Dots Technology using Simple Logistic Growth Curve

机译:用简单逻辑生长曲线预测量子点技术

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Mastery of technology is the key to the success of a nation. One of the rapidly developing technologies in the fourth Industrial Revolution is nanotechnology, which is also said to be the beginning of the 5.0 industrial era. This paper is intended to forecast the life cycle from one of nanotechnology, quantum dots (QDs) technology, using patent literature and technological growth curve models. Patent data is taken from United States Patent and Trademark Office (USPTO) from 1988 to 2016 using web scraping technique. From the literature study, logistic growth curve is considered as a common method to forecast the life cycle of technology. The upper limit used in this analysis is defined and a formula to evaluate is proposed. The fit of the transformed logistic curve is determined with the help of R-Square value. Parameters of logistic curve are estimated using nonlinear least square method and regression. The forecasting errors over the forecast region are estimated using Root Mean Square Error (RMSE). From the analysis, the QDs technology is categorized as an MATURE TECHNOLOGY. Current forecast of QDs technology maturity is that QDs is an important technology with high competitive impact and great integration into products and processes. Appications of QDs are now found in bioimaging, solar cells, LEDs, diode lasers, transistors, etc. Technology developers must be clear in understanding intellectual property boundaries and evaluating the benefits of forming strategic alliances to trade IP (intellectual property).
机译:掌握技术是一个国家成功的关键。第四个工业革命中的快速发展技术之一是纳米技术,也表示是5.0工业时代的开始。本文旨在使用专利文献和技术生长曲线模型预测纳米技术,量子点(QDS)技术之一的生命周期。专利数据从1988年到2016年的美国专利和商标局(USPTO)采用Web缩写技术。从文献研究中,物流生长曲线被认为是预测技术生命周期的常见方法。定义了该分析中使用的上限并提出了评估的公式。借助R-Square值确定转化的逻辑曲线的拟合。使用非线性最小二乘法和回归估计逻辑曲线参数。使用root均方误差(RMSE)估计预测区域上的预测误差。从分析中,QDS技术被分类为成熟技术。目前的QDS技术成熟预测是QDS是一种重要的技术,具有高竞争力的影响和融入产品和流程。现在发现QDS的QD,太阳能电池,LED,二极管激光器,晶体管等。技术开发商必须清楚地了解知识产权界限,并评估形成战略联盟的贸易IP(知识产权)的益处。

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