Prediction of Robot Technology Using Multi-phase Model

被引：2

作者：

Lee, Juhyun ^{[1
]}

Lee, Junseok ^{[2
]}

Kang, Jiho ^{[1
]}

Park, Sangsung ^{[3
]}

Jang, Dongsik ^{[1
]}

机构：

[1] Korea Univ, Dept Ind Management Engn, Seoul, South Korea

[2] MICube Solut, Seoul, South Korea

[3] CheongJu Univ, Dept Big Data Stat, Seoul, South Korea

来源：

JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY | 2020年 / 11卷 / 03期

关键词：

robot; patent analysis; time series; predictive modeling; DEVELOPMENT TREND; PATENT; SELECTION; FUTURE;

D O I：

10.12720/jait.11.3.181-185

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Technology changes with the times. It is difficult to predict, as technology develops under the influence of several factors. We analyze the technology by carrying out the patent from a time series perspective. The study consists of two phases. In the first phase, time series models detect the trend, cycle, and seasonality of the technology. Next phase performs to predict the importance of term. In order to confirm the practical applicability of the proposed method, 2,268 industrial robot patents were collected and tested. As a result, it was found that technologies beyond the dual control based on carbon materials among industrial robots will continue to develop.

引用

页码：181 / 185

页数：5

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