the speech enhancement techniques are often employed to improve the quality and intelligibility of the noisy speech signals. this paper discusses a novel technique for speech enhancement which is based on singular value decomposition. this implementation utilizes a genetic algorithm based optimization method for reducing the effects of environmental noises from the singular vectors as well as t...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...

abstract area-reduction method is one of the most common experimental methods that determines the sediment distribution in reservoirs. in this method, reservoirs are geometrically divided into four types. for all reservoir types, parameters are achieved based on a limited number of reservoirs which leads to large scale errors for prediction of this method. so suitable parameters can be achieved...

distributed generation (dg) sources are becoming more prominent indistribution systems due to the incremental demands for electrical energy. locationsand capacities of dg sources have great impacts on the system losses in adistribution network. this paper presents a study aimed for optimally determiningthe size and location of distributed generation units in distribution systems withdifferent l...

optimal design of cantilever reinforced concrete retaining wall can lead considerable cost saving if its involvement in hill road formation and railway line formation is significant.  a study of weight reduction optimization of reinforced cantilever retaining wall subjected to a sloped backfill using differential evolution algorithm (dea) is carried out in the present research.  the retaining w...

classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...