We here propose a generic, domainindependent local search method called Adaptive Search for solving Constraint Satisfaction Problems (CSP). We design a new heuristics that takes advantage of the structure of the problem in terms of constraints and variables and can guide the search more precisely than a global cost function to optimize (such as for instance the number of violated constraints). ...

We have shown previously that our Adaptive Distributed Caching (ADC) algorithm is able to compete with typical hashing based approaches in the realm of distributed proxy systems. In our first approach, we allowed the algorithm to run with the assumption of unlimited system resources (e.g. physical RAM). In this paper we introduce an extension to ADC, which gives the algorithm the capability to ...

nonlinear static procedure (nsp) is a common technique to predict seismic demands on various building structures by subjecting a monotonically increasing horizontal loading (pushover) to the structure. therefore, the pushover analysis is an important part of each nsp. accordingly, the current paper aims at investigating the efficiencyof various algorithms of lateral load patterns applied to the...

The three-way association among food-storing behavior, spatial memory, and hippocampal enlargement in some species of birds is widely cited as an example of a new 'cognitive ecology' or 'neuroecology.' Whether this relationship is as strong as it first appears and whether it might be evidence for an adaptive specialization of memory and hippocampus in food-storers have recently been the subject...

In the paper we present a method of direct access to single blocks of JPEG files which contain textures, with on-the-fly decompression. Anisotropic, adaptive filtering is applied in order to minimize visual defects appearing mainly on blocks borders. Main purpose of the method is to enable fast extraction of only these parts of an entire image which are currently needed and not to keep whole de...

unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

In this paper we describe a parallel h-refinement algorithm for unstructured finite element meshes based on the longest-edge bisection of triangles and tetrahedrons. This algorithm is implemented in PARED, a system that supports the parallel adaptive solution of PDEs. We discuss the design of such an algorithm for distributed memory machines including the problem of propagating refinement acros...