This work describes the complexity found in the normal and the deaf crying acoustic waves. Using approximate entropy, in a single figure, the complexity of the auto-covariance of the signal is computed. Thus, using this complexity value, we are able to discriminate the normal and the deaf infants crying domains with

Motivation In the " old " days: Pattern and text are given in correct sequential order. It is possible that the .content is erroneous New paradigm: Content is exact, but the order of .the pattern symbols may be scrambled Why? Transmitted asynchronously? ? The nature of the application Example:Swaps Tehse kni ds of typing mistakes are very common So when searching for patternThese we are seeking...

Engineering geometric models are often designed to have symmetries and other regularities. In knowledge based reuse, creative design and design for mass customization, to have the information of such symmetries and other regularities from a geometric model is very useful. And this can make us understand more about the geometric model. In reverse engineering, B-rep models are created by fitting ...

Range searching is a well known problem in the area of geometric data structures. We consider this problem in the context of approximation, where an approximation parameter ε > 0 is provided. Most prior work on this problem has focused on the case of relative errors, where each range shape R is bounded, and points within distance ε · diam(R) of the range’s boundary may or may not be included. W...

We present computationally efficient techniques for approximate model-checking using bisimulation-partitioning, polyhedra, grids and time discretization for semialgebraic hybrid systems, and demonstrate how they relate to and extend other existing techniques.

Many complex physical systems such as biological systems are characterized both by incomplete models and limited empirical data. Accurate prediction of the behavior of such systems requires exploitation of multiple, individually incomplete, knowledge sources. Our approach, called approximate-model-based adaptation, utilizes case-based reasoning to provide an approximate solution and model-based...