SAS: a yield/failure analysis software tool

1996 ◽  
Author(s):  
Susana de Jong Perez
Keyword(s):  
Failure Analysis ◽  
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

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

scholarly journals OCSANA+: Optimal Control and Simulation of Signaling Networks from Network Analysis

2019 ◽  
Author(s):  
Lauren Marazzi ◽  
Andrew Gainer-Dewar ◽  
Paola Vera-Licona
Keyword(s):  
Network Analysis ◽  
Large Scale ◽  
Software Tool ◽  
Control Algorithms ◽  
Signaling Networks ◽  
Analysis Software ◽  
Link Type ◽  
Non Linear Systems ◽  
Long Term Behavior

AbstractSummaryOCSANA+ is a Cytoscape app for identifying nodes to drive the system towards a desired long-term behavior, prioritizing combinations of interventions in large scale complex networks, and estimating the effects of node perturbations in signaling networks, all based on the analysis of the network’s structure. OCSANA+ includes an update to OCSANA (optimal combinations of interventions from network analysis) software tool with cutting-edge and rigorously tested algorithms, together with recently-developed structure-based control algorithms for non-linear systems and an algorithm for estimating signal flow. All these algorithms are based on the network’s topology. OCSANA+ is implemented as a Cytoscape app to enable a user interface for running analyses and visualizing results.Availability and ImplementationOCSANA+ app and its tutorial can be downloaded from the Cytoscape App Store or https://veraliconaresearchgroup.github.io/OCSANA-Plus/. The source code and computations are available in https://github.com/VeraLiconaResearchGroup/OCSANA-Plus_SourceCode.

Dynamic Reduced Electrothermal Model for Integrated Power Electronics Modules (IPEM): Part I — Thermal Analysis

2003 ◽  
Author(s):  
M. Herna´ndez-Mora ◽  
J. E. Gonza´lez ◽  
M. Ve´lez-Reyes ◽  
J. M. Orti´z ◽  
Y. Pang ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Thermal Analysis ◽  
Power Electronics ◽  
Software Tool ◽  
Electrical Performance ◽  
Reduced Model ◽  
Analysis Software ◽  
Thermal Capacitance ◽  
Capacitance Method ◽  
Numerical Formulation

This paper presents a reduced mathematical model using a practical numerical formulation of the thermal behavior of Integrated Power Electronics Modules (IPEM). This model is based on the expanded Lumped Thermal Capacitance Method (LTCM), in which the number of variables involved in the analysis of heat transfer is reduced to only time. Applying this procedure a simple, non-spatial, but highly non-linear model is obtained. Steady and transient results of the model are validated against results from a thermal analysis software tool, FLOTHERM 3.1™. A comparison between thermal results obtained with the reduced model and experimental data is presented indicating a need for incorporating the dynamic electrical performance in the reduced model. The development of this model presents an alternative to reduce the complexity level developed in commercial multidimensional and transient software for power electronics applications.

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