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Simulation Modeling & Analysis
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Simulation Modeling & Analysis of Large Systems
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The generality and applicability of the LSBI approach can be shown by the range of problems to which it can be applied. For example, LSBI is currently investigating the use of computer networking methodologies and tools to analyze highway and roadway networks for optimal efficiency. The relative magnitude of the problem is greatly in our favor: the volume of traffic on a computer network is at least 106 times greater than even the busiest roadway system. Furthermore, our approach allows a level of abstraction that is not computationally possible with more traditional models. For more information about this ongoing project, please contact LSBI at contact@lonestarbio.com.
An earlier application of this methodology allows the client to quantitatively assess the effects of a bioattack that employs Nuclear-Biological-Chemical (NBC) agents. The bioattack simulation tools, like others in our suite, can draw upon real time data from Internet sources. Click here to see components of the demonstration interface for the simulation.
Online sources of data for the bioattack simulation include:
- Population and census data
- The LSBI design is unique in that it integrates census data into the
model to quantify the "human effects" of the observations.
- Geological databases
- The model includes various algorithms that analyze the fate and transport
of contaminants.
Soil characteristics are also included in the analysis, as mobile and
stationary fractions of organic matter are key elements in the
construction of the fate and transport models.
- Real time meteorological and satellite data
- Data are drawn from NOAA METAR and other sources.
- Chemical data
- The complete toolkit includes all relevant chemical data, such as
vapor pressures, viscosities, solubility, and redox potential.
The toolkit also includes specialized operational data such as how pH
alters the stability of the contents of a water-bearing zone.
- Proprietary toxicity studies
- An additional unique aspect of the LSBI model is that it incorporates data about toxicities of various compounds by incorporating results from pharmacological binding studies. These data are derived from LSBI's custom proprietary database of computational ligand and receptor models. This component allows our model to predict not only the physical and chemical parameters for aquatic contamination, but also the impact on flora and fauna, and the probability that the contaminant will persist at consequential levels in human water supplies.
LSBI is eager to discuss other applications of this approach to specific needs of client organizations. We are sensitive to the needs of our clients, and confidentiality is assured.