I-centric services in the area of telecommunication `the I-talk service'

A new approach is to build communication systems not on the basis of specific technologies, but on the analysis of the individual communication spaces. The result is a communication system adapted to the individual demands of each individual (I-centric). The communication system will act on behalf of user demands, reflecting recent actions to enable profiling and self-adaptation to contexts and situations. I-centric services adapt themselves to individual communication spaces and individual environments and situations. In this context "I" means individual, "centric" means adaptable to I requirements and a certain user environment. This paper introduces I- centric service as a new approach to integrating different services, and it illustrates how this approach can be applied to the area of telecommunication systems. The I-centric service "I-Talk" from the area of telecommunication is introduced. I-Talk realizes an I-centric telephony service, where a user has no longer to type in or to memorize any telephone numbers

Parametric Models for Estimating Wind Turbine Fatigue Loads for Design

International standards for wind turbine certification depend on finding long-term fatigue load distributions that are conservative with respect to the state of knowledge for a given system. Statistical models of loads for fatigue application are described and demonstrated using flap and edge blade-bending data from a commercial turbine in complex terrain. Distributions of rainflow-counted range data for each ten-minute segment are characterized by parameters related to their first three statistical moments (mean, coefficient of variation, and skewness). Quadratic Weibull distribution functions based on these three moments are shown to match the measured load distributions if the non-damaging low-amplitude ranges are first eliminated. The moments are mapped to the wind conditions with a two-dimensional regression over ten-minute average wind speed and turbulence intensity. With this mapping, the short-term distribution of ranges is known for any combination of average wind speed and turbulence intensity. The longterm distribution of ranges is determined by integrating over the annual distribution of input conditions. First, we study long-term loads derived by integration over wind speed distribution alone, using standard-specified turbulence levels. Next, we perform this integration over both wind speed and turbulence distribution for the example site. Results are compared between standarddriven and site-driven load estimates. Finally, using statistics based on the regression of the statistical moments over the input conditions, the uncertainty (due to the limited data set) in the long-term load distribution is represented by 95% confidence bounds on predicted loads. This paper is declared a work of the U.S. Government and is not subject to copyright protection in the ..