The usefulness of the results for analytical road pavement design are demonstrated by using a back-analysis procedure to determine appropriate resilient modulus values to characterise an analytical model of a road pavement together with the performance models to predict road pavement subgrade performance under cumulative applications of traffic load.
In the present work, the problems related to both the forward as well as reverse mappings in green sand mould system were tackled by using a back-propagation neural network (BPNN) and a genetic-neural network (GA-NN).
The JSE was first translated into Japanese by one of the authors (HUK) by using a back-translation procedure [ 10].
The dynamometers were calibrated at the start of testing by using a back-loading rig and are accurate, linear, and stable to within 0.5 kg. 12 The retest variability within individual participants for maximal voluntary tests of strength in those unused to such measurements is about 9%.
Valedo strengthens the back by using a sticky back sensor and an on-screen avatar to track and correct your movements through 45 physical therapist-recommended exercises.
Sodium MR imaging resolutions of ∼0.125 μl for mouse and rat heads were achieved by using a 3D back-projection pulse sequence.
Diets were compared during mid lactation (weeks 7 16) by using a switch-back design of three periods of 20 days each (1, control; 2, CSFA; 3, control).
Automatic emotion recognition systems commonly address this issue in one of two ways: either by using a suitable back-end to model temporal variations of short-term features [13, 14], or by capturing this information with the front-end with techniques such as contour models or using functionals of sequences of short-term features extracted from speech segments/turns [7, 9, 15 20].
Commonly automatic emotion recognition systems capture spectral information with frame-based information and temporal information by either computing a range of functionals over all the frame-level features in an utterance or by using a suitable back-end to model temporal variations of these frame-level features.
This is accomplished by using a look-back window of at least 1 year to ensure that the patients included were the initial hospitalization record between fiscal years 2003/04 and 2009/10.
