Modeling the Temperature of the Evacuation Chamber with Artificial Neural Networks (ARME)-Lupinepublishers

Modeling the Temperature of the Evacuation Chamber with Artificial Neural Networks by Deynier Montero Gongora in Advances in Robotics & Mechanical Engineering in Lupine Publishers

This investigation approaches the artificial neural networks applied to the ore drying process in carbonate-ammonia leaching. To carry out this research, the main variables that characterize the process were identified. Besides, it was collected the data that comprise a whole month of facility´s operation. Furthermore, it was developed a regression analysis backwards, step by step, which allowed to determine that the linear correlation coefficient did not reach values higher than 0,62. In addition, it was pinpointed a two layered feed - forward back propagation neural network to model the temperature. Thins one reached the correlation coefficient values of 0,97 during its training and 0,95 in validation, as well as 0,87 in its generalization. 

https://www.lupinepublishers.com/robotics-mechanical-engineering-journal/abstracts/modeling-the-temperature-of-the-evacuation-chamber-with-artificial-neural-networks.ID.000107.php

https://www.lupinepublishers.com/robotics-mechanical-engineering-journal/pdf/ARME.MS.ID.000107.pdf

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Use of Latest Robots for Autism Spectrum Disorder (ARME)-Lupinepublishers

Use of Latest Robots for Autism Spectrum Disorder by Sara Ali in Advances in Robotics & Mechanical Engineering in Lupine Publishers

One of the prominent applications of robots is in assistive therapy using humanoids. Robots are now playing a vital role in our lives as assistants, therapist, companions and much more. Autism Spectrum Disorder (ASD) affects the communication skills and social cues of a person considerably. Recently efforts have been made in the development of communicational, behavioral, motor movements, joint attention and physical behavior of the children suffering from ASD using the humanoid robots. The therapies based on interactive interventions using robots for ASD have proved to be a favorable tool for improving the behavior of children with ASD. There are different ways to identify and improve the behavior in ASD child e.g. psychologists’ sessions, computer vision based bio markers like joint attention measurement and gait analysis, and robot assisted therapies using Autism Observation Scale for Infants (AOSI). In particular the area of robotics is helping a lot in the treatment of ASD as the robot acts as a mediator as well as measures the response of an autistic child.

http://www.lupinepublishers.com/robotics-mechanical-engineering-journal/abstracts/use-of-latest-robots-for-autism-spectrum-disorder.ID.000108.php

http://www.lupinepublishers.com/robotics-mechanical-engineering-journal/pdf/ARME.MS.ID.000108.pdf

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