Sentence examples for modeling and system from inspiring English sources

The dynamics modeling process is divided into the modeling of multi-attribute parts, system modeling based on assembly features, dynamics modeling and system implementation stage from the analysis process.

A modeling and system simulation of an integral-type solar assisted heat pump water heater (ISAHP) was carried out in the present study.

The modeling and system formulation approach presented here provide a quantitative method that can be used in the analysis, optimization and control of the lyophilization process, as well as in the design of freeze-dryers.

With the availability of technologies that allow us to obtain stimulus-response time series data for modeling and system identification, there is going to be an increasing need for conceptual frameworks in which to formulate and test hypotheses about intra- and inter-cellular dynamics, in general and not just dependent on a particular cell line, cell type, organism, or technology.

While, the SSA is based on the real-time system modeling and system monitoring.

His research focuses on thermal/fluid sciences in energy system, modeling and system dynamics of solid oxide fuel cell and gas turbine (GT) hybrid systems.

Since then, there have been considerable theoretical efforts on modeling and systems analysis using ODE models of death-receptor mediated apoptosis [ 17, 18, 26, 27], mitochondria-mediated apoptosis [ 28, 29], or integrated extrinsic and intrinsic apoptosis pathways [ 15, 30- 34].

Guisbert, E., Yura, T., Rhodius, V. A. & Gross, C. A. Convergence of molecular, modeling, and systems approaches for an understanding of the Escherichia coli heat shock response.

The number of combinations of feasible sequences is astronomical in such problems, and they provide many problems in modeling and systems development for operations researchers and industrial engineers.

The program faculty in CBM is conducting research in a wide range of areas, including biophysics and structural biology; genomics and bioinformatics; modeling and systems biology; neuroscience; and cancer biology.

Dr. Greenberg's research is in the area of computational imaging with a focus on physics-based modeling and system-level design from fundamental science through algorithm implementation.