A convolutional neural network (CNN) based regression is proposed for estimating the brittle fracture ratio (BFR) in a image of drop weight tear test (DWTT) specimen. Different with previous complex semantic segmentation-based estimator, method extracts feature vector through global average pooling map and calculates BFR directly fully connected layer. By removing decoder network, number weight...

introduction: brain computer interface (bci) systems based on movement imagination (mi) are widely used in recent decades. separate feature extraction methods are employed in the mi data sets and classified in virtual reality (vr) environments for real-time applications. methods: this study applied wide variety of features on the recorded data using linear discriminant analysis (lda) classifier...

with quick development of digital images and the availability of imaging tools, massive amounts of images are created. therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. automatic image annotation (aia) or refers to attaching words, keywords or comments to an image or to a selected part of it. in this paper,...

the output error of the globoidal cam mechanism can be considered as a relevant indicator ofmechanism performance, because it determines kinematic and dynamical behavior of mechanicaltransmission. based on the differential geometry and the rigid body transformations, themathematical model of surface geometry of the globoidal cam is established. then we present theanalytical expression of the ou...

This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...

Most contemporary clinical reasoning tests typically assess non-automatic thinking. Therefore, a test is needed to measure automatic reasoning or pattern recognition, which has been largely neglected in clinical reasoning tests. The Puzzle Test (PT) is dedicated to assess automatic clinical reasoning in routine situations. This test has been introduced first in 2009 by Monajemi et al in the Oly...

Age-related deficits are seen across tasks where learning depends on asocial feedback processing, however plasticity has been observed in some of the same tasks in social contexts suggesting a novel way to attenuate deficits. Socioemotional selectivity theory suggests this plasticity is due to a deliberative motivational shift toward achieving wellbeing with age (positivity effect) that reverse...