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PRODID:IEEE vTools.Events//EN
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DTSTART:20191027T030000
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BEGIN:VEVENT
DTSTAMP:20191111T211245Z
UID:B42A06E4-DF64-4EB7-AF95-AB15600C49BC
DTSTART;TZID=Europe/Bucharest:20191111T120000
DTEND;TZID=Europe/Bucharest:20191111T140000
DESCRIPTION:Internet of Things (IoT) have been changing our daily life in t
 he past few years. The huge amount of sensors in IoT generate big data and
  provide opportunities to make many systems smarter. However\, the decisio
 n making in these IoT-enabled systems also face ordinary challenges such a
 s the curse of dimensionality and modeling and the new challenges such as 
 multi-scale\, multi-objective\, and high uncertainty. In this talk\, we in
 troduce an event-based method in which the decision making is triggered by
  events while not states or time. This new feature substantially reduces t
 he computational load while may still provide good system performance. We 
 consider the application of this event-based method for IoT-Enabled smart 
 buildings and smart cities\, both for energy saving and for fast evacuatio
 n. We hope this work sheds light to the optimization of IoT systems in gen
 eral.\n\nSpeaker(s): (Samuel) Qing-Shan Jia\, \n\nRoom: PRECIS PR105\, Bld
 g: Facultatea de Automatica si Calculatoare\, Splaiul Independentei 313\, 
 Universitatea Politehnica din Bucuresti\, Bucharest\, Municipiul Bucuresti
 \, Romania\, 060042
LOCATION:Room: PRECIS PR105\, Bldg: Facultatea de Automatica si Calculatoar
 e\, Splaiul Independentei 313\, Universitatea Politehnica din Bucuresti\, 
 Bucharest\, Municipiul Bucuresti\, Romania\, 060042
ORGANIZER:grig@me.com
SEQUENCE:6
SUMMARY:RAS Distinguished Lecture - Decision Making for IoT-Enabled Smart B
 uildings and Smart Cities – An Event - Based Method
URL;VALUE=URI:https://events.vtools.ieee.org/m/209605
X-ALT-DESC:Description: <br /><div class="page" title="Page 1">\n<div class
 ="section">\n<div class="layoutArea">\n<div class="column">\n<p>Internet o
 f Things (IoT) have been changing our daily life in the past few years. Th
 e huge amount of sensors in IoT generate big data and provide opportunitie
 s to make many systems smarter. However\, the decision making in these IoT
 -enabled systems also face ordinary challenges such as the curse of dimens
 ionality and modeling and the new challenges such as multi-scale\, multi-o
 bjective\, and high uncertainty. In this talk\, we introduce an event-base
 d method in which the decision making is triggered by events while not sta
 tes or time. This new feature substantially reduces the computational load
  while may still provide good system performance. We consider the applicat
 ion of this event-based method for IoT-Enabled smart buildings and smart c
 ities\, both for energy saving and for fast evacuation. We hope this work 
 sheds light to the optimization of IoT systems in general.</p>\n</div>\n</
 div>\n</div>\n</div>
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