in this paper, genetic programming is applied for quality improvement of noisy speech signal. therefore, a system including both spectral subtraction and genetic programming is implemented for speech enhancement. in the proposed method, first noise is reduced by spectral subtraction. in the next step, genetic programming trees are trained for more enhancement of noisy signal by mapping the sign...

SMP cluster (CLUMPs) architecture has been widely used to provide scalable high performance computers recently. One distinctive feature over traditional parallel computer architecture is its hybrid memory model, shared memory inside the node and message passing between the nodes. In this paper, we study the hybrid programming model of MPI+OpenMP on CLUMPs architecture. We analyze the implementa...

We propose a simple, user-friendly way of creating computer programs for hybrid systems whose execution involves animation. This is done by adapting behavioral programming, a recently proposed approach to software development that is aligned with how people describe system behavior, for use in programming animation. Users can define discrete and continuous behavior, which are then run simultane...

Discrete-continuous non-linear optimization models are frequently used to formulate problems in Process System Engineering. Major modeling alternatives and solution algorithms include generalized disjunctive programming and MINLP. Both have advantages and drawbacks depending on the problem they are dealing with. In this work, we describe the theory behind LOGMIP, a new computer code for disjunc...

The basic aims of parallel programming are to decrease the runtime for the solution to a problem and increase the size of the problem that can be solved. The conventional parallel programming practices involve a a pure OpenMP implementation on a shared memory architecture (Fig. 1) or a pure MPI implementation on distributed memory computer architectures (Fig. 2). The largest and fastest compute...