SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Beigl M.) "

Search: WFRF:(Beigl M.)

  • Result 1-2 of 2
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Holmquist, Lars Erik, et al. (author)
  • Building Intelligent Environments with Smart-Its
  • 2004
  • In: IEEE Computer Graphics and Applications. - 0272-1716 .- 1558-1756. ; 24:1, s. 56-64
  • Journal article (peer-reviewed)abstract
    • The development of Smart-Its for building smart environments is discussed. Smart-Its are small, self-contained, stick-on computers that attach to everyday objects. These augmented objects become soft media, enabling dynamic digital relationships with users and each other. A Smart-Its consists of a core board with a wireless transceiver to let the device communicate with other Smart-Its, plus a sensor board that gives the Smart-Its data about its sorroundings. The major advantage of the system is that it allows designers and researchers to construct responsive or intelligent environments.
  •  
2.
  • Ding, Y., et al. (author)
  • A Smart Energy system : Distributed resource management, control and optimization
  • 2011
  • In: IEEE PES Innovative. Smart Grid Technol. Conf. Europe. - 9781457714214
  • Conference paper (peer-reviewed)abstract
    • This paper presents a novel concept of distributed energy resource and consumption management, which proposes to design a networked and embedded platform for realizing a dynamic energy mix and optimizing the energy consumption dynamically. Based on heterogeneous wireless sensor networks and a local Web of Things platform, the environmental parameters and energy data can be acquired and processed in a distributed manner in real time. In order to improve understanding on how different environmental factors and user behaviors influence the end use of energy, we propose a User Profiling module to investigate the characterization of user's goals and behaviors in terms of energy consumption. Besides the wireless sensor networks, the User Profiling module acquires data also from a questionnaire which mainly concerns four categories, i.e. characteristics of the residents, electrical appliances, attitudes towards energy and building structural information. Furthermore, based on the real-time information from the sensor network platform and the user profiling module, an embedded Resource and Consumption Controller will then adapt automatically for instance the regulation processes of energy consumption in a household locally for the users, so that the costs of all energy resources will not exceed the predetermined budget and be regulated in a user-preferred way. © 2011 IEEE.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-2 of 2

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view