Product Design Parameters Optimization Using Constrained Mixture Design and Combinatorial Fusion Analysis

2012 ◽  
Author(s):  
Yulian Fei ◽  
Manman Jiang ◽  
D. Frank Hsu
Keyword(s):  
Product Design ◽  
Mixture Design ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Constrained Mixture ◽  
Combinatorial Fusion ◽  
Fusion Analysis

Combinatorial Fusion Analysis

2008 ◽  
pp. 1157-1181 ◽  
Author(s):  
D. Frank Hsu ◽  
Yun-Sheng Chung ◽  
Kristal Bruce S.
Keyword(s):  
Scoring System ◽  
Optimization Problems ◽  
Score Function ◽  
Scoring Systems ◽  
Accurate Information ◽  
Rank Score ◽  
Combinatorial Fusion ◽  
Classification Prediction ◽  
Fusion Analysis ◽  
System Selection

Combination methods have been investigated as a possible means to improve performance in multi-variable (multi-criterion or multi-objective) classification, prediction, learning, and optimization problems. In addition, information collected from multi-sensor or multi-source environment also often needs to be combined to produce more accurate information, to derive better estimation, or to make more knowledgeable decisions. In this chapter, we present a method, called Combinatorial Fusion Analysis (CFA), for analyzing combination and fusion of multiple scoring. CFA characterizes each Scoring system as having included a Score function, a Rank function, and a Rank/score function. Both rank combination and score combination are explored as to their combinatorial complexity and computational efficiency. Information derived from the scoring characteristics of each scoring system is used to perform system selection and to decide method combination. In particular, the rank/score graph defined by Hsu, Shapiro and Taksa (Hsu et al., 2002; Hsu & Taksa, 2005) is used to measure the diversity between scoring systems. We illustrate various applications of the framework using examples in information retrieval and biomedical informatics.

scholarly journals Optimization of SAW Devices with LGS/Pt Structure for Sensing Temperature

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2441
Author(s):  
Xueling Li ◽  
Wen Wang ◽  
Shuyao Fan ◽  
Yining Yin ◽  
Yana Jia ◽  
...  
Keyword(s):  
High Temperature ◽  
Quality Factor ◽  
Short Pulse ◽  
Extreme Temperature ◽  
Parameters Optimization ◽  
Design Parameters ◽  
Q Value ◽  
Element Analysis ◽  
Saw Devices ◽  
Extreme High Temperature

Research has shown that SAW (surface acoustic wave) devices with an LGS/Pt (langasite La3Ga5SiO14/platinum) structure are useful in high-temperature sensor applications. Extreme high temperature brings great acoustic attenuation because of the thermal radiation loss, which requires that the sensing device offer a sufficiently high quality factor (Q) and a low loss. Therefore, it is necessary to improve the performance of the quality factor as much as possible so as to better meet the application of high-temperature sensors. Based on these reasons, the main work of this paper was to extract accurate simulation parameters to optimize the Pt/LGS device and obtain Q-value device parameters. Optimization of SAW devices with LGS/Pt structure for sensing extreme high temperature was addressed by employing a typical coupling of modes (COM) model in this work. Using the short pulse method, the reflection coefficient of Pt electrodes on LGS substrate was extracted accurately by characterizing the prepared SAW device with strategic design. Other relevant parameters for COM simulation were determined by finite element analysis. To determine the optimal design parameters, the COM simulation was conducted on the SAW sensing device with a one-port resonator pattern for sensing extreme temperature, which allows for a larger Q-value and low insertion loss. Experimental results validate the theoretical simulation. In addition, the corresponding high-temperature characteristics of the prepared sensing device were investigated.

scholarly journals Effects of Mixture Design Parameters on the Mechanical Behavior of High-Performance Fiber-Reinforced Concretes

2020 ◽  
Vol 32 (12) ◽  
pp. 04020368
Author(s):  
Tahir K. Erdem ◽  
Serhat Demirhan ◽  
Gürkan Yıldırım ◽  
Qais S. Banyhussan ◽  
Oğuzhan Şahin ◽  
...  
Keyword(s):  
Mechanical Behavior ◽  
High Performance ◽  
Mixture Design ◽  
Design Parameters ◽  
Fiber Reinforced ◽  
High Performance Fiber

scholarly journals Dynamic Modeling and Parameters Optimization of Large Vibrating Screen with Full Degree of Freedom

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Xiaodong Yang ◽  
Jida Wu ◽  
Haishen Jiang ◽  
Wenqiang Qiu ◽  
Chusheng Liu
Keyword(s):  
Neural Network ◽  
Elastic Deformation ◽  
Parametric Modeling ◽  
Parameters Optimization ◽  
Degree Of Freedom ◽  
Design Parameters ◽  
Response Analysis ◽  
Lateral Plate ◽  
Beam Position ◽  
Vibrating Screen

Dynamic characteristic and reliability of the vibrating screen are important indicators of large vibrating screen. Considering the influence of coupling motion of each degree of freedom, the dynamic model with six degrees of freedom (6 DOFs) of the vibrating screen is established based on the Lagrange method, and modal parameters (natural frequencies and modes of vibration) of the rigid body are obtained. The finite element modal analysis and harmonic response analysis are carried out to analyze the elastic deformation of the structure. By using the parametric modeling method, beam position is defined as a variable, and an orthogonal experiment on design is performed. The BP neural network is used to model the relationship between beam position and maximal elastic deformation of the lateral plate. Further, the genetic algorithm is used to optimize the established neural network model, and the optimal design parameters are obtained.

Quantification of Classical Gestalt Principles in Two-Dimensional Product Representations

2015 ◽  
Vol 137 (9) ◽  
Author(s):  
José E. Lugo ◽  
James P. Schmiedeler ◽  
Stephen M. Batill ◽  
Laura Carlson
Keyword(s):  
Product Design ◽  
Design Process ◽  
Formal Method ◽  
Visual Design ◽  
Design Parameters ◽  
Two Dimensional ◽  
Mathematical Functions ◽  
Gestalt Principles ◽  
Visual Appearance

Gestalt principles have previously served as qualitative guidelines for good visual design in art, architecture, and product design. This paper introduces a formal method to quantify classical Gestalt principles (proximity, continuity, closure, symmetry, parallelism, and similarity) for two-dimensional product representations. With the approach, designers use their judgment to divide a 2D representation of a new concept or existing design into its key atomistic elements, identify the most appropriate Gestalt principles that apply to the grouping of those elements, and then can objectively quantify the design’s adherence to those principles using mathematical functions of the design parameters. This quantification provides a tool to augment a design team’s own subjective interpretations in evaluating and communicating a product’s visual appearance at any stage of or throughout the design process.

Use of constrained mixture design for optimization of method for determination of zinc and manganese in tea leaves employing slurry sampling

2010 ◽  
Vol 670 (1-2) ◽  
pp. 33-38 ◽  
Author(s):  
Marcos Almeida Bezerra ◽  
Jacira Teixeira Castro ◽  
Reinaldo Coelho Macedo ◽  
Douglas Gonçalves da Silva
Keyword(s):  
Mixture Design ◽  
Slurry Sampling ◽  
Tea Leaves ◽  
Constrained Mixture
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