Spectral optimization of beacon lights for the protection of night‐swarming mayflies

2021 ◽  
Vol 14 (2) ◽  
pp. 225-234 ◽  
Author(s):  
Ádám Mészáros ◽  
György Kriska ◽  
Ádám Egri
Keyword(s):  
Spectral Optimization

scholarly journals Experimentally determined spectral optimization for dedicated breast computed tomography

2011 ◽  
Vol 38 (2) ◽  
pp. 646-655 ◽  
Author(s):  
Nicolas D. Prionas ◽  
Shih-Ying Huang ◽  
John M. Boone
Keyword(s):  
Computed Tomography ◽  
Spectral Optimization ◽  
Breast Computed Tomography

scholarly journals Spectral optimization for the Stekloff–Laplacian: The stability issue

2012 ◽  
Vol 262 (11) ◽  
pp. 4675-4710 ◽  
Author(s):  
Lorenzo Brasco ◽  
Guido De Philippis ◽  
Berardo Ruffini
Keyword(s):  
Stability Issue ◽  
Spectral Optimization ◽  
The Stability

A Spectral Optimization Algorithm for Multi-Objective Prototype Selection

1995 ◽  
Author(s):  
Andy Dong ◽  
Alice M. Agogino
Keyword(s):  
Optimization Algorithm ◽  
Parametric Design ◽  
Selection Process ◽  
Objective Evaluation ◽  
Design Synthesis ◽  
Multi Objective ◽  
Trade Offs ◽  
Spectral Optimization ◽  
The Right ◽  
Selection Of

Abstract In design synthesis, engineering prototypes make an ideal representation medium for preliminary designs. Unlike parametric design wherein a pre-specified design is parametrically varied, design synthesis demands artistic creativity and engineering experience to transform the previously known components, relationships and designs into a new form. The process compels the designer to ascertain which prototypes will, in some sense, best satisfy the design task. The challenge in this assignment lies in selecting the “right” design prototype. This selection process typically entails an objective evaluation of different designs that perform the same functions or have similar intended behavior and comparing trade-offs between alternate designs. This paper introduces a multi-objective spectral optimization algorithm for the selection of design prototypes based upon their functional representations. The optimization algorithm returns an index of rank, scoring the functional similarity of the proposed design to the goal design. Two illustrative examples apply the algorithm to the selection of a heat fin and beam.

scholarly journals Spectral optimization of white light from hybrid metal halide perovskites

OSA Continuum ◽  
2019 ◽  
Vol 2 (6) ◽  
pp. 1880 ◽  
Author(s):  
Peifen Zhu ◽  
Hongyang Zhu ◽  
Gopi Chandra Adhikari ◽  
Saroj Thapa
Keyword(s):  
White Light ◽  
Metal Halide ◽  
Halide Perovskites ◽  
Spectral Optimization
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