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

共 50 条

[21] A MULTI-PHASE FLOW MODEL FOR ELECTROSPINNING PROCESS
Xu, Lan
Si, Na
Lee, Eric Wai Ming
Liu, Hong-Ying
THERMAL SCIENCE, 2013, 17 (05): : 1299 - 1304
[22] A HIERARCHICAL MODEL FOR MULTI-PHASE FRACTAL MEDIA
Mei, Maofei
Yu, Boming
Cai, Jianchao
Luo, Liang
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2010, 18 (01) : 53 - 64
[23] Generic Model for Multi-Phase Ring Oscillators
Pereira, Paula C.
Pinto, Antonio C.
Oliveira, Luis B.
Fernandes, Jorge R.
2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
[24] Model reduction in a class of multi-phase systems
Univ of Minnesota, Minneapolis, United States
Chemical Engineering Communications, 1996, 148-150 : 285 - 289
[25] A multi-phase model for simulations of galaxy formation
Springel, V
Hernquist, L
ASTROPHYSICAL SUPERCOMPUTING USING PARTICLE SIMULATIONS, 2003, (208): : 273 - 282
[26] A multi-phase micro-segregation model
Pustal, B.
Berger, R.
Subasic, E.
Laschet, G.
Schaefer, W.
Buehrig-Polaczek, A.
INTERNATIONAL JOURNAL OF CAST METALS RESEARCH, 2009, 22 (1-4) : 252 - 255
[27] A Multi-Phase Mathematical Model for Gravity Currents
Zhao, Liang
Yu, Chinghao
He, Zhiguo
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2016: HYDRAULICS AND WATERWAYS AND HYDRO-CLIMATE/CLIMATE CHANGE, 2016, : 433 - 441
[28] Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models
Liang, Zhongwei
Shan, Shiyin
Liu, Xiaochu
Wen, Yiheng
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2017, 11 (01) : 225 - 257
[29] Reentry blackout reachable set footprint prediction using multi-phase trajectory optimization
Wang, Mingkai
Sun, Hongqiang
Zhang, Shuguang
ADVANCES IN SPACE RESEARCH, 2023, 72 (06) : 1970 - 1982
[30] SLURRY PUMP CASING WEAR PREDICTION USING NUMERICAL MULTI-PHASE FLOW SIMULATION
Roudnev, Aleksander S.
Bourgeois, Ronald J.
Kosmicki, Randy J.
PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER CONFERENCE, VOL 1, PTS A-C, 2009, : 515 - 523

← 1 2 3 4 5 →