Modeling of Natural Materials Extraction

2000 ◽  
pp. 499-516 ◽  
Author(s):  
Ö. Hortaçsu
Keyword(s):  
2019 ◽  
Vol 2019 (1) ◽  
pp. 153-158
Author(s):  
Lindsay MacDonald

We investigated how well a multilayer neural network could implement the mapping between two trichromatic color spaces, specifically from camera R,G,B to tristimulus X,Y,Z. For training the network, a set of 800,000 synthetic reflectance spectra was generated. For testing the network, a set of 8,714 real reflectance spectra was collated from instrumental measurements on textiles, paints and natural materials. Various network architectures were tested, with both linear and sigmoidal activations. Results show that over 85% of all test samples had color errors of less than 1.0 ΔE2000 units, much more accurate than could be achieved by regression.


2020 ◽  
pp. 407-410
Author(s):  
E.Yu. Krupenya ◽  
A.P. Shishkina

The essence and scope of granular organic media from natural materials in the technology for machine parts manufacturing are shown. Vibration finishing model of the parts surface by granules of stone organic media and the results of its experimental verification, features of drying and vibration wiping of parts by organic media are presented.


2020 ◽  
pp. 001391652094260
Author(s):  
Erin M. Hamilton

This study examines the environmentally responsible behaviors (ERBs) of undergraduates ( n = 575). ERBs were measured in an online survey and the influence of situational context on behavior was explored at two scales: 1) green versus non-green building and 2) building characteristics. The Positive Sustainable Built Environments model was used to analyze three building characteristics: Prime, Permit, and Invite. Prime refers to characteristics that prepare occupants to adopt ERBs via communicating a sustainable ethos or restoring attentional capacity (e.g., use of natural materials and views to nature). Permit refers to features that allow occupants to conserve resources (e.g., operable light switches). Invite pertains to features that explicitly encourage ERBs (e.g., signage prompting occupants to turn off lights). Regression results demonstrated that living in a green building had no significant impact on ERBs. However, the Prime and Invite building characteristics significantly predicted improved Energy, Water, and Materials conservation. Results yield implications for designers seeking to create sustainable buildings that promote ERBs.


RSC Advances ◽  
2016 ◽  
Vol 6 (27) ◽  
pp. 22395-22410 ◽  
Author(s):  
K. Z. Elwakeel ◽  
A. A. El-Bindary ◽  
A. Ismail ◽  
A. M. Morshidy

Chitosan, glycidyl methacrylate (synthetic polymer) and magnetite are combined to produce novel magnetic macro-reticular hybrid synthetic–natural materials which are shown to be effective sorbents for RBBR ions.


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