SSA-CAE-Based Abnormal Data Classification Method in Edge Intelligence Device of CNC Machine
Applied Sciences, 2022 Smart factories and big data are important factors in the Fourth Industrial Revolution. Smart factories aim for automation and integration; however, the most important part is the application of data.
Donghyun Kim +3 more
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Robust Spatial-Temporal Motion Coherent Priors for Multi-View Video Coding Artifact Reduction
IEEE Access, 2023 Multi-view video (MVV) data processed by three-dimensional (3D) video systems often suffer from compression artifacts, which can degrade the rendering quality of 3D spaces.
Gyulee Jeon +4 more
doaj +1 more source
Applied Sciences, 2022 In order to cope with the changing era of the innovative management paradigm of the manufacturing industry, it is necessary to advance the construction of smart factories in the domestic manufacturing industry, and in particular, the 3D design and ...
Jeehyeong Kim, Jongpil Jeong
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Improved MSRN-Based Attention Block for Mask Alignment Mark Detection in Photolithography
Applied Sciences, 2022 Wafer chips are manufactured in the semiconductor industry through various process technologies. Photolithography is one of these processes, aligning the wafer and scanning the circuit pattern on the wafer on which the photoresist film is formed by ...
Juyong Park, Jongpil Jeong
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An Efficient Analytical Approach to Visualize Text-Based Event Logs for Semiconductor Equipment
Applied Sciences, 2021 Semiconductor equipment consists of a complex system in which numerous components are organically connected and controlled by many controllers. EventLog records all the information available during system processes.
Gunwoo Lee, Jongpil Jeong
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Applied Sciences, 2021 This paper reports on the use of reinforcement learning technology for optimizing mobile robot paths in a warehouse environment with automated logistics.
HyeokSoo Lee, Jongpil Jeong
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The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0 [PDF]
, 2017 Strongly rooted in the Internet of Things and Cyber-Physical Systems-enabled manufacturing, disruptive paradigms like the Factory of the Future and Industry 4.0 envision knowledge-intensive industrial intelligent environments where smart personalized ...
Ahmad +37 more
core +1 more source
A Seamless Convergence of the Digital and Physical Factory Aiming in Personalized Product Emergence Process (PPEP) for Smart Products within ESB Logistics Learning Factory at Reutlingen University [PDF]
, 2007 A seamless convergence of the digital and physical factory aiming in personalized Product Emergence Process (PPEP) for smart products within ESB Logistics Learning Factory at Reutlingen University.A completely new business model with reference to ...
Dewilde, S. +5 more
core +1 more source
Towards a foundation for holistic power system validation and testing [PDF]
, 2016 Renewable energy sources and further electrificationof energy consumption are key enablers for decreasing green-house gas emissions, but also introduce increased complexitywithin the electric power system.
Blank, Marita +5 more
core +2 more sources
Applied Sciences, 2022 The next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via
Jinyoub Kim +5 more
doaj +1 more source