Telecommunications

Investigators at Technical University Discuss Research in Machine Learning

  2012 AUG 8 (VerticalNews) -- By a News Reporter-Staff News Editor at Telecommunications Weekly -- Fresh data on Machine Learning are presented in a new report. According to news reporting from Prague, Czech Republic, by VerticalNews journalists, research stated, "This study introduces the concept of an intelligent wall as an autonomous part of a smart indoor environment for cognitive wireless networks. Here, an intelligent wall is a wall inside a building equipped with an active frequency-selective surface, simple low-cost sensors and a cognitive engine with machine-learning ability."

  The news correspondents obtained a quote from the research from Technical University, "Using simulations, it has been shown that the smart environment based on intelligent walls can react to the immediate demands of an indoor wireless system, control radio coverage and, consequently, influence the overall system performance. The concept of the intelligent walls is described and evaluated based on a simple implementation of an arrangement of two intelligent walls in a conference centre scenario. Artificial neural networks were employed in the cognitive engine. Elementary orthogonal frequency division multiple access static system simulations are used to analyse the influence of the smart environment on the system performance."

  According to the news reporters, the researchers concluded: "Results are discussed in detail and typical characteristics of the aforementioned system are derived and summarised."

  For more information on this research see: Intelligent walls as autonomous parts of smart indoor environments. IET Communications, 2012;6(8):1004-1010. IET Communications can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England. (The Institution of Engineering and Technology - www.theiet.org/; IET Communications - www.ietdl.org/IET-COM)

  Our news journalists report that additional information may be obtained by contacting L. Subrt, Czech Technical Univ, Dept. of Electromagnet Field, Prague 16627, Czech Republic.

  Keywords for this news article include: Prague, Europe, Cyborgs, Czech Republic, Machine Learning, Wireless Network, Wireless Technology, Emerging Technologies, Artificial Neural Networks

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