RFID-enabled indoor positioning method for a real-time manufacturing execution system using OS-ELM

Neurocomputing

Volumn 174, Issue , 2016, Pages 121-133

  Yang, Zhixin ^a   Zhang, Pengbo ^a   Chen, Lei ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

Indoor positioning; Manufacturing execution system (MES); Online sequential extreme learning machine (OS ELM); Real time signal processing; RFID; Smart manufacturing objects (SMOs)

Indexed keywords

DATA ACQUISITION; DATA HANDLING; E-LEARNING; FLOORS; FLOW CONTROL; INDOOR POSITIONING SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MANUFACTURE; PROCESSING; RADIO FREQUENCY IDENTIFICATION (RFID); SIGNAL PROCESSING; SOCIAL NETWORKING (ONLINE);

INDOOR POSITIONING; MANUFACTURING EXECUTION SYSTEM; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; REAL-TIME SIGNAL PROCESSING; SMART MANUFACTURING;

MANUFACTURING DATA PROCESSING;

ALGORITHM; ARTICLE; INDOOR POSITIONING ALGORITHM; INFORMATION SYSTEM; MACHINE LEARNING; MANUFACTURING EXECUTION SYSTEM; MANUFACTURING INDUSTRY; ONLINE SEQUENTIAL EXTREME LEARNING MACHINE; PRIORITY JOURNAL; RADIOFREQUENCY IDENTIFICATION; REAL TIME TRACKING SYSTEM; SIGNAL PROCESSING; WIRELESS COMMUNICATION;

EID: 84940061454     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.05.120     Document Type: Article

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