A description of the mathematical properties of three-parameter kappa distribution (K3D) is provided. We consider the hazard rate function, the rth moment, the rth L-moment, and the asymptotic distribution of the extreme order statistics and their graphical illustrations. It turns out that this distribution is close to a generalized Pareto distribution, so that the K3D is suitable for modeling threshold excesses or modeling data that has a lower bound. In addition we studied three estimation methods (method of moments, method of L-moments, and maximum likelihood). The Monte Carlo simulation for performance evaluation shows that the maximum likelihood estimator and the L-moment estimator worked equally well. The method of moments estimator worked poorly for all cases. We illustrate its applicability for daily rainfall data.

NUI(Natural User Interfaces) has been developed through CLI(Command Line Interfaces) and GUI(Graphical User Interfaces). NUI uses many different input modalities, including multi-touch, motion tracking, voice and stylus. In order to adopt NUI to legacy GUI applications, he/she must add device libraries, modify relevant source code and debug it. In this paper, we propose a gesture-based interface model that can be applied without modification of the existing event-based GUI applications and also present the XML schema for the specification of the model proposed. This paper shows a method of using the proposed model through a prototype.