Nomograms for calculating the safety factor of homogeneous earth dams in long-term stability

The slope stability analysis is routinely performed by engineers to evaluate the stability of embankment dams, road embankments, river training works, excavations and retaining walls. To ensure the geotechnical safety of the dam, the slope of embankment must be correctly designed and constructed. In this work, by applying the modified method of Bishop, an attempt was made to construct sets of nomgrams for the calculation of the safety factor of homogeneous earth dams under long term stability, which allow the user to get the optimal safety factor of the dam, immediately, according the material classification and the parameters of design, height and slope.Key words: Nomograms, safety factor, homogeneous earth dams

Improving face recognition using deep autoencoders and feature fusion

Uncontrolled environments are the main challenges of real face recognition systems, recent success of deep learning and features fusion has led to various performance improvements. This paper proposes a novel scheme called feature autoencoder (FAE), where an autoencoder model is not trained directly from the raw facial images, rather it uses a fusion of features constructed by Gabor filter, local binary pattern and local phase quantisation. For each feature, a linear discriminant analysis is applied to reduce its high dimensionality and a limited adaptive histogram equalisation process is employed for contrast enhancement. The proposed scheme has been evaluated using known datasets such as AR, ORL and YALE, and the experimental results carried out on these databases have been compared using three classifiers: k-nearest neighbour, multiclass support vector machine and softmax classifier, demonstrating the effectiveness of proposed approach and parameters. The experimental results obtained and compared with recent and similar approaches on six databases: ORL, YALE, AR, extended YALE B, CMU PIE, and LFWcrop, suggest that the proposed technique outperforms similar techniques. The recognition rates got from them are 100%, 100%, 99.66%, 99.40%, 97.31%, and 90.68% respectively

VISCOSITY OF Cd-In LIQUID ALLOYS

Viscosity coefficient of 11 liquid alloys Cd-In has been measured by the oscillating cup method. The necessary mass specific values have been determined by an absolute method. The temperature range covered has allowed to evaluate with sufficient accuracy the evolution of the viscous flow energy with concentration. An extension of the model of S. Takeuchi and all., to binary liquid alloys, using the Hicter's thermodynamic representation of simple liquid, is proposed and applied to the Cd-In system