scholarly journals Development of a User Interface for a Regression Analysis Software Tool

2010 ◽  
Author(s):  
Norbert Ulbrich ◽  
Thomas Volden
Keyword(s):  
Regression Analysis ◽  
User Interface ◽  
Software Tool ◽  
Analysis Software

scholarly journals A quantitative analysis software tool for mass spectrometry–based proteomics

2008 ◽  
Vol 5 (4) ◽  
pp. 319-322 ◽  
Author(s):  
Sung Kyu Park ◽  
John D Venable ◽  
Tao Xu ◽  
John R Yates
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
Software Tool ◽  
Analysis Software

Regression Analysis on Influences of Hem Parameters on Flare Sagging of Semi-Circular Skirt

2011 ◽  
Vol 331 ◽  
pp. 594-598
Author(s):  
Hong Ni
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Measured Data ◽  
Silk Fabric ◽  
Linear Regression Equation ◽  
Analysis Software ◽  
Wool Fabrics ◽  
Object Of Study ◽  
The Relationship ◽  
Statistical Analysis Software

Select 45 pieces of silk, cotton and wool fabrics in total, with semi-circular skirt modeling as object of study, investigate the relationship between flare sagging in straight & inclined grains of skirt pieces and fabric types, analyze the influence of hem parameters on flare sagging of semi-circular skirt and obtain multiple linear regression equation by disposing the measured data with SPSS statistical analysis software. The study result shows that the skirt hem of silk fabric is sagging more significantly than that of cotton and wool fabrics and there is a multi-linear relationship between semi-circular flare sagging and parameters.The research of this subject has both theoretical value and practical value.

SciMAT: A new science mapping analysis software tool

2012 ◽  
Vol 63 (8) ◽  
pp. 1609-1630 ◽  
Author(s):  
M.J. Cobo ◽  
A.G. López-Herrera ◽  
E. Herrera-Viedma ◽  
F. Herrera
Keyword(s):  
Software Tool ◽  
Analysis Software ◽  
Science Mapping ◽  
New Science ◽  
Mapping Analysis

Automated Finite Element Analysis on Tree Branches

2016 ◽  
Author(s):  
Devon Keane ◽  
Domenick Avanzi ◽  
Lance Evans ◽  
Zahra Shahbazi
Keyword(s):  
Mechanical Properties ◽  
Finite Element Analysis ◽  
Finite Element ◽  
User Interface ◽  
Elemental Analysis ◽  
Biological Systems ◽  
Complex Geometries ◽  
Analysis Software ◽  
Element Analysis

There are many instances where creating finite element analysis (FEA) requires extensive time and effort. Such instances include finite element analysis of tree branches with complex geometries and varying mechanical properties. In this paper, we discuss the development of Immediate-TREE, a program and its associated Guided User Interface (GUI) that provides researchers a fast and efficient finite elemental analysis of tree branches. This process was discussed in which finite element analysis were automated with the use of computer generated Python files. Immediate-TREE uses tree branch’s data (geometry, mechanical properties and etc.) provided through experiment and generates Python files, which were then run in finite element analysis software (Abaqus) to complete the analysis. Immediate-TREE is approximately 240 times faster than creating the model directly in the FEA software (Abaqus). The process used to develop Immediate-TREE can be applied to other finite element analysis of biological systems such as bone and tooth.

scholarly journals A Software Tool for Assisting Experimentation in Dynamic Environments

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Pavel Novoa-Hernández ◽  
Carlos Cruz Corona ◽  
David A. Pelta
Keyword(s):  
Statistical Analysis ◽  
User Interface ◽  
Graphical User Interface ◽  
Optimization Problems ◽  
Software Tool ◽  
Dynamic Environments ◽  
Experiment Management ◽  
And Performance ◽  
Main Components

In real world, many optimization problems are dynamic, which means that their model elements vary with time. These problems have received increasing attention over time, especially from the viewpoint of metaheuristics methods. In this context, experimentation is a crucial task because of the stochastic nature of both algorithms and problems. Currently, there are several technologies whose methods, problems, and performance measures can be implemented. However, in most of them, certain features that make the experimentation process easy are not present. Examples of such features are the statistical analysis of the results and a graphical user interface (GUI) that allows an easy management of the experimentation process. Bearing in mind these limitations, in the present work, we present DynOptLab, a software tool for experimental analysis in dynamic environments. DynOptLab has two main components: (1) an object-oriented framework to facilitate the implementation of new proposals and (2) a graphical user interface for the experiment management and the statistical analysis of the results. With the aim of verifying the benefits of DynOptLab’s main features, a typical case study on experimentation in dynamic environments was carried out.

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