scholarly journals Appendix C:SSPACK_PC: An Interactive Model-Based Processing Software Package

2005 ◽  
pp. 647-653
Keyword(s):  
Software Package ◽  
Interactive Model ◽  
Model Based ◽  
Processing Software

Interactive Model-Based Decision Making for Time-Critical Vehicle Routing

2011 ◽  
pp. 203-220 ◽  
Author(s):  
Subhashini Ganapathy ◽  
Sasanka Prabhala ◽  
S. Narayanan ◽  
Raymond R. Hill ◽  
Jennie J. Gallimore
Keyword(s):  
Decision Making ◽  
Vehicle Routing ◽  
Interactive Model ◽  
Model Based ◽  
Time Critical

Interactive model-based vehicle tracking

1996 ◽  
Vol 18 (11) ◽  
pp. 1115-1121 ◽  
Author(s):  
W.F. Gardner ◽  
D.T. Lawton
Keyword(s):  
Vehicle Tracking ◽  
Interactive Model ◽  
Model Based

scholarly journals The Diverse Applications of Tree Set Visualization and Exploration

2020 ◽  
Author(s):  
Jeremy M. Brown ◽  
Genevieve G. Mount ◽  
Kyle A. Gallivan ◽  
James Wilgenbusch
Keyword(s):  
Phylogenetic Tree ◽  
Software Package ◽  
Species Tree ◽  
Model Based ◽  
Phylogenetic Studies ◽  
Tree Inference ◽  
Visualization Techniques ◽  
Species Tree Inference

All phylogenetic studies are built around sets of trees. Tree sets carry different kinds of information depending on the data and approaches used to generate them, but ultimately the variation they contain and their structure is what drives new phylogenetic insights. In order to better understand the variation in and structure of phylogenetic tree sets, we need tools that are generic, flexible, and exploratory. These tools can serve as natural complements to more formal, statistical investigations and allow us to flag surprising or unexpected observations, better understand the results of model-based studies, as well as build intuition. Here, we describe such a set of tools and provide examples of how they can be applied to relevant questions in phylogenetics, phylogenomics, and species-tree inference. These tools include both visualization techniques and quantitative summaries and are currently implemented in the TreeScaper software package (Huang et al. 2016).

scholarly journals Vobi One: a data processing software package for functional optical imaging

2014 ◽  
Vol 8 ◽  
Author(s):  
Sylvain Takerkart ◽  
Philippe Katz ◽  
Flavien Garcia ◽  
Sébastien Roux ◽  
Alexandre Reynaud ◽  
...  
Keyword(s):  
Data Processing ◽  
Optical Imaging ◽  
Software Package ◽  
Data Processing Software ◽  
Processing Software

FFproc - an improved multivariate robust statistical data processing software for the estimation of MT transfer functions

2021 ◽  
Author(s):  
César Daniel Castro ◽  
Philip Hering ◽  
Colin Hogg ◽  
Andreas Junge
Keyword(s):  
Software Package ◽  
Transfer Functions ◽  
Time Window ◽  
Noise Model ◽  
Eigenvalue Decomposition ◽  
Statistical Dependence ◽  
Coherent Noise ◽  
Magnetotelluric Data ◽  
Processing Software ◽  
The Impact

<p>The presence of cultural electromagnetic (EM) noise hampers the estimation of Magnetotelluric (MT) transfer functions and therefore distorts the imaging of subsurface resistivity structures. Many advanced processing approaches are available to improve the quality of EM signals. However, very few of them are capable to identify and remove time segments contaminated by correlated (anthropogenic) electromagnetic noise.<br><br>We present FFproc, an MT multi-site/multi-device robust remote reference processing code, that is implemented as a MATLAB© Graphical User Interface (GUI). The presented processing software builds on the eigenvalue decomposition method by Egbert (1997) and includes a robust estimation of the spectral density and the noise covariance matrices. The multivariate approach accounts for the statistical dependence between regression residuals related to the data channels at a single site (Advanced Noise Model, ANM) and therefore significantly reduces the impact from locally coherent noise signals.<br><br>The code also provides a semi-automatic algorithm, that analyzes the number of source-field processes in the multivariate data space. Here, an eigenvalue criterion, calculated for each single time window, favors time segments with high MT signal-to-noise ratio and simultaneously reduces the influence of regional coherent noise signals.<br><br>The modular software package allows the user to apply uni- or multi-variate processing routines to data collected with most of the common commercial data loggers (e.g. Metronix, Phoenix). The results can be exported to different data formats and can be analyzed and manipulated within the visualization environment of our MT software package - FFMT.<br><br>The processing algorithm is validated using simulated MT signals related to a 3-D resistivity benchmark model. Additionally, MT data from the Azores are used to compare the code to well established processing codes and to highlight its efficiency. See presentation “Three-Dimensional Interpretation of Broadband Magnetotelluric data at Fogo Volcano, Azores Islands” (Hogg et al.).</p>

scholarly journals Kinetic study of Reactive Black 5 degradation by Fe2+/S2O82− process via interactive model-based response surface methodology

2017 ◽  
Vol 76 (7) ◽  
pp. 1754-1769
Author(s):  
Jun-Ming Hong ◽  
Yu-Feng Xia ◽  
Chung-Chuan Hsueh ◽  
Bor-Yann Chen
Keyword(s):  
Response Surface Methodology ◽  
Acetic Acid ◽  
Response Surface ◽  
Transformation Products ◽  
Reactive Black 5 ◽  
Optimal Conditions ◽  
Interactive Model ◽  
Model Based ◽  
Dye Pollutants ◽  
Proteus Hauseri

This study aimed to kinetically discover optimal conditions on characteristics of Reactive Black 5 decolorization/degradation via ferrous (Fe2+)-activated potassium persulfate (PS). Monod-like kinetics and interactive model-based response surface methodology (RSM) were applied to fitting and predict optimize treatment. Biodegradability of the intermediates was also tested by shaking culture with two species (Proteus hauseri ZMd44 and Shewanella sp. WLP72). Results showed that the optimal degradation efficiency was predicted (through RSM) as pH 3.72, (PS) = 0.39 mM, and (Fe2+) = 0.29 mM. The transformation products (dl-4-hydroxymandelic acid, benzoic acid, benzene, formic acid, oxalic acid and acetic acid) were less toxic than the original dye solution. According to those results, clean-up of dye pollutants by the Fe2+/S2O82− process is feasible as a pre-processing for the biodegradation, and the predicted optimal conditions are meaningful for further industry utilization.

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