Korea Smart Factory Policies and Practices for SMEs

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14 May 2019

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Jeongcheol

Lee

Training & Diagnostic T/F, KOSF (dispatched)

Smart Manufacturing Innovation Center, KPC

ECLAC / Santiago de Chile / 14 May 2019

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INDUSTRY 5.0

human-centric, sustainable and resilient

From shareholder to stakeholder value

“Industrie 4.0” and Smart Manufacturing – A Review of Research Issues and Application Examples

Klaus-Dieter Thoben*1,*2, Stefan Wiesner*1,†, and Thorsten Wuest*3

*1BIBA – Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Hochschulring 20, 28359 Bremen, Germany

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†

Corresponding author, E-mail: wie@biba.uni-bremen.de

*2Faculty of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany

*3Industrial and Management Systems Engineering, Benjamin M. Statler College of Engineering and Mineral Resources, West Virginia University,

PO Box 6070, Morgantown, WV 26506, USA

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Machine Learning and Big Data Analytics in Power Distribution Systems

Dr. Nanpeng Yu

Department of Electrical and Computer Engineering

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Department of Computer Science

(cooperating faculty)

nyu@ece.ucr.edu

951.827.3688

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ARTIFICIAL INTELLIGENCE

AND BIG DATA

INNOVATION LANDSCAPE BRIEF

Artificial Intelligence and the Internet of Energy (IoE)

AI dena-REPORT

Artificial Intelligence for the Integrated Energy Transition

Assessing the technological status quo and categorising fields of application in the energy industry

Artificial Intelligent Technology in Public and Private Sector : the case of Korea

Hyenyoung

Yoon

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Adjunct Professor, Technology Management, Economics and Policy Program

International Technology Professional Program (ITPP)

Global R&DB Center, Seoul National University

Artificial Intelligence (AI): Overview and

Applications, Bangkok, Thailand, 17 September 2019

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