A symmetry-extended mobility rule for mechanical linkages is presented, in which the conventional mobility criterion for a linkage is subsumed and strengthened by an equation that predicts symmetries, as well as numbers, of mobilities and states of self stress.

In this paper we compare the accuracy of a range of advanced density models for gas identification from sensor array signals. Density estimation is applied in the construction of classifiers through the use of Bayes rule. Experiments on real sensors data proved the effectiveness of the approach with an excellent classification performance. We compare the classification accuracy of four density ...

Due to the significant delay and cost associated with experimental tests, a model-based evaluation of concrete compressive strength is high value, both for purpose prediction as well mixture optimization. In contrast prior recent studies employing single regression model, in this paper, we present combined multi-model framework where methods based on artificial neural network, random forest pol...

A scientific environmental investment prediction plays a crucial role in controlling pollution and avoiding the blind of management. However effective usually has to fact three challenges about diversiform indicators, insufficient data, reliability models. In present study, new model is proposed using extended belief rule-based system (EBRBS) evidential reasoning (ER) rule, called ensemble EBRB...

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Today, a business faces fast changing environments which require frequent adaptations of parts of the business. These adaptations of the business are usually delayed to a great extent by the entailed modification of the business’s applications. Consequently, the business looses much time and money with adapting the applications’ behaviour and therefore cannot keep pace with changing environment...

In this paper, we propose a novel frequency-domain approach to double-talk detection (DTD) based on the Gaussian mixture model (GMM). In contrast to a previous approach based on a simple and heuristic decision rule utilizing time-domain crosscorrelations, GMM is applied to a set of feature vectors extracted from the frequency-domain cross-correlation coefficients. Performance of the proposed ap...