Search Results - "Cupek, Rafal"

"Digital Twins" for Highly Customized Electronic Devices - Case Study on a Rework Operation by Cupek, Rafal, Drewniak, Marek, Ziebinski, Adam, Fojcik, Marcin

“…The ongoing changes in manufacturing require that new information models for industrial computer systems be developed and applied. This paper describes a…”
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Automated assessment of joint synovitis activity from medical ultrasound and power doppler examinations using image processing and machine learning methods by Cupek, Rafal, Ziębiński, Adam

“…Rheumatoid arthritis is the most common rheumatic disease with arthritis, and causes substantial functional disability in approximately 50% patients after 10…”
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HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data by Syu, Jia-Hao, Fojcik, Marcin, Cupek, Rafał, Lin, Jerry Chun-Wei

“…Internet of Medical Things (IoMT) facilitate revolutionary development in healthcare services, recognized as smart healthcare. By collecting big healthcare…”
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A metamorphic controller for plant control system design by Klopot, Tomasz, Skupin, Piotr, Choinski, Dariusz, Cupek, Rafal, Fojcik, Marcin

“…One of the major problems in the design of industrial control systems is the selection and parameterization of the control algorithm. In practice, the most…”
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Industrial Shared Wireless Communication Systems-Use Case of Autonomous Guided Vehicles with Collaborative Robot by Stój, Jacek, Kampen, Anne-Lena, Cupek, Rafał, Smołka, Ireneusz, Drewniak, Marek

“…Dedicated fieldbuses were developed to provide temporal determinisms for industrial distributed real-time systems. In the early stages, communication systems…”
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FPGA based Industrial Ethernet Network Analyser for Real-time Systems Providing Openness for Industry 4.0 by Stój, Jacek, Ziębiński, Adam, Cupek, Rafał

“…In modern cyber-physical systems, there is a high degree of connectivity that is imperative to satisfy the Four Industrial Revolution paradigm (Industry 4.0)…”
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Energy grid management system with anomaly detection and Q-learning decision modules by Syu, Jia-Hao, Srivastava, Gautam, Fojcik, Marcin, Cupek, Rafał, Lin, Jerry Chun-Wei

“…Stability and security issues in energy management have become widespread research topics, in which artificial intelligence techniques are often embedded in…”
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Agent-based manufacturing execution systems for short-series production scheduling by Cupek, Rafal, Ziebinski, Adam, Huczala, Lukasz, Erdogan, Huseyin

“…This paper presents the architecture of Agent-based Manufacturing Execution Systems dedicated for short-series production support. The functional models are…”
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Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles by Steclik, Tomasz, Cupek, Rafal, Drewniak, Marek

“…Automated Guided Vehicles (AGVs) have become an indispensable component of Flexible Manufacturing Systems. AGVs are also a huge source of information that can…”
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Knowledge integration via the fusion of the data models used in automotive production systems by Cupek, Rafal, Ziebinski, Adam, Drewniak, Marek, Fojcik, Marcin

“…In this paper a novel information model that can be used in Manufacturing Execution Systems is presented. The model is based on the fusion of ISA95, AML and…”
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Determination of the machine energy consumption profiles in the mass-customised manufacturing by Cupek, Rafal, Ziebinski, Adam, Zonenberg, Dariusz, Drewniak, Marek

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Information Models for a New Generation of Manufacturing Systems - a Case Study of Automated Guided Vehicle by Cupek, Rafal, Drewniak, Marek, Ziebinski, Adam

“…The growing popularity of AGVs, which are used in manufacturing has not only been the result of their technical features, but also from their ability to…”
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Case Study of AGV in Industry 4.0 Environments - An Evaluation of Wireless Communication Protocols by Kampen, Anne-Lena, Cupek, Rafal, Fojcik, Marcin, Drewniak, Marek, Ovsthus, Knut

“…The new manufacturing paradigm, which is organized under Industry 4.0, has strict requirements for supporting technologies. Wireless communication technology…”
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Q-learning based energy management system on operating reserve and supply distribution by Syu, Jia-Hao, Lin, Jerry Chun-Wei, Fojcik, Marcin, Cupek, Rafal

“…Due to their lower cost and performance predictability, traditional energy sources outperform renewables. Therefore, one of the most important concerns of…”
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Smart passive infrared sensor - Hardware platform by Frankiewicz, Artur, Cupek, Rafal

“…Passive Infrared Sensors (PIR) are inexpensive devices widely used as motion detectors. Standard sensor provides just trigger signal on movement detection…”
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Performance evaluation of redundant OPC UA architecture for process control by Cupek, Rafal, Folkert, Kamil, Fojcik, Marcin, Klopot, Tomasz, Polaków, Grzegorz

“…Classical control applications with a centralized logic and distributed input/output system are being replaced by dynamic environments of cooperating…”
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End-point device compressed air consumption analysis by reverse engineering algorithm by Cupek, Rafal, Folkert, Kamil, Huczala, Lukasz, Zonenberg, Dariusz, Tomczyk, Jakub

“…In this paper the authors present an original methodology that may be useful for dedicated online compressed air consumption analyses for end-point devices…”
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Stream data clustering for engineering applications a use case of autonomous guided vehicles by Steclik, Tomasz, Cupek, Rafal, Drewniak, Marek

“…The article presents the results of a study to verify the possibility of discovering the type of work performed by a monitored object. During the research, the…”
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An approach towards AGV battery cell voltage prediction using DL and data pre-processing by Medykovskyy, Mykola, Cupek, Rafal, Pavliuk, Olena, Mishchuk, Myroslav

“…Modern methods for solving the AGV battery cell voltage prediction problem include a symbiosis of probabilistic and machine learning methods. In this study, we…”
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Real-time testing of vision-based systems for AGVs with ArUco markers by Filus, Katarzyna, Sobczak, Lukasz, Domanska, Joanna, Domanski, Adam, Cupek, Rafal

“…Automated Ground Vehicles (AGVs) use deep-learning-based vision systems to perceive the surrounding environment and extract relevant information about it…”
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