Working place comfort a small wsn proposal
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Working place comfort – a small WSN proposal. Franjo Jović, Marina Pešut, Davor Antonić, Ninoslav Slavek University of Osijek. Presentation overview. Comfort hypothesis Experiment set-up Theoretical prerequisites Pragmatic questions Semantic data model issues Objective function estimation.

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Working place comfort – a small WSN proposal

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Working place comfort a small wsn proposal

Working place comfort – a small WSN proposal

Franjo Jović, Marina Pešut, Davor Antonić, Ninoslav Slavek

University of Osijek


Presentation overview

Presentation overview

  • Comfort hypothesis

  • Experiment set-up

  • Theoretical prerequisites

  • Pragmatic questions

  • Semantic data model issues

  • Objective function estimation


Comfort hypothesis experimental set up

Comfort hypothesis/experimental set-up

  • Working comfort can be conditioned by

    • Light provision,temperature, pressure electrical foeld and ion exchange

    • A small web connected sensor network can be applied; worker adaptation speed can be measured

  • Computerized working place

  • 4-electrode E, Q+/- ,dQ/dt measurement

  • Blood pressure / heart pulse sensor net

  • Web connection

  • Local pressure, temperature sensors

  • -Ion generator

  • Hardware / software provisions


Theoretical prerequisites pragmatic questions

Theoretical prerequisites/pragmatic questions

  • Impact of electrical field and ion currents on speed of worker’s organism recovery

  • Semantic network data modeling

  • Observable environment variables

  • Testing of worker’s state

  • Variability of worker’s physical and mental condition

  • Testing and control of measurement values

  • Impact of dynamic environmental changes

  • Modeling of experimental context


Semantic data model objective function measurement

Semantic data model / objective function measurement

  • Establishment of ontology driven data model

  • Semantic data model of the experiment

  • Semantic connection among broad and diverse experimental domains

  • Experiment design

  • Measurement procedure design

  • Decisions on equipment features

  • Design of independent control experiment

  • Repeatability of obtained data/model set


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