scholarly journals A Practical Fitting Method Involving a Trade-Off Decision in the Parametrization Procedure of a Thermodynamic Model and Its Repercussion on Distillation Processes

2019 ◽  
Author(s):  
Adriel Sosa ◽  
Luís Fernández ◽  
Elena Gómez ◽  
Eugénia A. Macedo ◽  
Juan Ortega
Keyword(s):  
Thermodynamic Model ◽  
Trade Off ◽  
Fitting Method

scholarly journals A Novel Adaptive Non-Local Means-Based Nonlinear Fitting for Visibility Improving

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 741
Author(s):  
Hongtao Wu ◽  
Lei Jia ◽  
Ying Meng ◽  
Xiao Liu ◽  
Jinhui Lan
Keyword(s):  
Filter Design ◽  
Trade Off ◽  
Nonlinear Fitting ◽  
Local Means ◽  
Fitting Method ◽  
Central Pixel ◽  
Smooth Plane ◽  
Non Local ◽  
Geometric Surface ◽  
Weight Coefficients

The spatial-based method has become the most widely used method in improving the visibility of images. The visibility improving is mainly to remove the noise in the image, in order to trade off denoising and detail maintaining. A novel adaptive non-local means-based nonlinear fitting method is proposed in this paper. Firstly, according to the smoothness of the intensity around the central pixel, eight kinds of templates with different precision are exploited to approximate the central pixel through a novel adaptive non-local means filter design; the approximate weight coefficients of templates are derived from the approximation credibility. Subsequently, the fractal correction is used to smooth the denoising results. Eventually, the Rockafellar multiplier method is employed to generalize the smooth plane fitting to any geometric surface, thus yielding the optimal fitting of the center pixel approximation. Through a large number of experiments, it is clearly elucidated that compared with the classical spatial iteration-based methods and the recent denoising algorithms, the proposed algorithm is more robust and has better effect on denoising, while keeping more original details during denoising.

A Flow-Preserving Algorithm for the Time-Cost Trade-Off Problem

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  
Time Cost ◽  
Trade Off

Dual Goals for Speed and Accuracy on the Same Performance Task

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt
Keyword(s):  
Memory Scanning ◽  
Performance Task ◽  
Performance Tasks ◽  
Trade Off ◽  
Test Experiment ◽  
Trade Offs ◽  
New Finding ◽  
Sternberg Paradigm ◽  
Speed Accuracy ◽  
Speed And Accuracy

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.

Time Trade-Off Module

2002 ◽  
Author(s):  
Liat Ayalon ◽  
Bellinda L. King-Kallimanis
Keyword(s):  
Trade Off
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