JFT was involved in the conceptualization, design, and implementation of all experiments; helped with the SSH libraries and molecular work and revised the manuscript.
In this study, we describe the implementation and evaluation of an experiment with Augmented Reality (AR) technology in the visualization of 3D models and the presentation of architectural projects by students of architecture and building engineering.
In the first year of its implementation (2012/2013), an experiment based on the AR methodology was planned and developed.
In this paper, first the existing model is briefly presented, followed by a review of the design and implementation of a series of experiments conducted to study the performance and behaviour of the SE system and to develop extensive, and hitherto unavailable, operational data.
The implementation of a Design of Experiments – Response Surface Methodology approach allowed to identify the importance of each variable, as well as their interactions, in both the reactivity (solid yield) and energy densification (increase in higher heating value).
The implementation of a Design of Experiment-Response Surface Methodology approach (DoE/RSM) allowed us to analyse the importance of each variable, as well as their interactions, in both the composition and the energetic features of the dry gas stream obtained.
The implementation of a design of experiments – response surface methodology approach allowed the process to be optimized in terms of reactivity (solid yield) and energy densification (increase in higher heating value), and the importance of each variable in the process to be identified.
Herein an implementation of an evolutionary design of experiments to optimize chemical and biochemical systems based on a machine learning process is presented.
