International Business Machines Corporation

Diego P R Franco

Fernando A Cavalcanti

Marcos C Sylos

Marco Aurelio Stelmar Netto

Thiago Rodrigues De Souza Costa

A machine learning system for configuring input devices connected to a computer cluster is provided. A computing device analyzes one or more input devices connected to one or more computer device executing within a workstation. A computer device receives one or more signals from the one or more input devices connected to the one or more computer devices executing within the workstation. A computing device converts the one or more signals from the one or more input devices connected to the one or more computer devices executing within the workstation into one or more device data. A computing device analyzes the one or more device data from the one or more input devices connected to the one or more computer devices executing within the workstation. A computer device determines a detected pattern of device data, wherein a computer device generates a key-mapping command.

Configuration of key-mapping

A self-learning cycle timer is disclosed. A wait time is measured between a first indication, associated with a stop, and a second indication, associated with movement following the stop, each indication received from a smart device. A geolocation is received from the smart device and a traffic signal identified at the geolocation. The traffic signal's area of influence is determined. The wait time is determined to have occurred inside the area of influence. An average cycle time and a reference time associated with the traffic signal are retrieved from a database. A cycle time associated with the traffic signal is calculated according to the wait time and the reference time. The average cycle time is updated according to the calculated cycle time.

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Belo Horiozonte, Brazil

Diego P R Franco