Evolving sensor systems

Evolving sensor systems Evolving Systems (2018) 9:93–94 https://doi.org/10.1007/s12530-018-9229-9 EDITORIAL 1 2 Chrisina Jayne  · Nirmalie Wiratunga Received: 8 May 2018 / Accepted: 8 May 2018 / Published online: 14 May 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 The general availability of low cost sensors, short range reorganisation in order to adapt to unknown and unpredict- radio technology and advances in the Internet of Things able environments through gradual change, system structure (IoT) and wireless networking are enabling the wide spread evolution and parameter adaptation. An important consid- use and deployment of sensors. Reasoning with sensor data eration is the ability of such systems to balance the ability is increasingly an important componant of intelligent sys- to learn new concepts whilst selectively forgetting the past. tem where actionable insights must be discovered to support This special section includes contributions on evolv- decision making. Advances in sensor technology is driving ing sensor systems. We have carefully chosen three dif- the adoption of ubquitous and pervasive computing sys- ferent applications that present algorithms and methods tems in a wide range of industry sectors from sensing envi- that allow the refinement and adaptationof learnt models ronmental phenomena such as weather events, air quality in order http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Evolving Systems Springer Journals

Evolving sensor systems

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Complexity; Artificial Intelligence (incl. Robotics); Complex Systems
ISSN
1868-6478
eISSN
1868-6486
D.O.I.
10.1007/s12530-018-9229-9
Publisher site
See Article on Publisher Site

Abstract

Evolving Systems (2018) 9:93–94 https://doi.org/10.1007/s12530-018-9229-9 EDITORIAL 1 2 Chrisina Jayne  · Nirmalie Wiratunga Received: 8 May 2018 / Accepted: 8 May 2018 / Published online: 14 May 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 The general availability of low cost sensors, short range reorganisation in order to adapt to unknown and unpredict- radio technology and advances in the Internet of Things able environments through gradual change, system structure (IoT) and wireless networking are enabling the wide spread evolution and parameter adaptation. An important consid- use and deployment of sensors. Reasoning with sensor data eration is the ability of such systems to balance the ability is increasingly an important componant of intelligent sys- to learn new concepts whilst selectively forgetting the past. tem where actionable insights must be discovered to support This special section includes contributions on evolv- decision making. Advances in sensor technology is driving ing sensor systems. We have carefully chosen three dif- the adoption of ubquitous and pervasive computing sys- ferent applications that present algorithms and methods tems in a wide range of industry sectors from sensing envi- that allow the refinement and adaptationof learnt models ronmental phenomena such as weather events, air quality in order

Journal

Evolving SystemsSpringer Journals

Published: May 14, 2018

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