Real-time characterization of network traffic anomalies, such as heavy hitters and heavy changers, is critical for the robustness of operational networks, but its accuracy and scalability are challenged by the ever-increasing volume and diversity of network traffic.
However, the slow process of in vivo characterization of network function often limits the timescale of the testing step.
Therefore, our results highlight the need for closed-loop site characterization, monitoring network design, and leakage source detection.
Experimental characterization of network properties, such as the density of crosslinked chains, involves the use of approximate models with uncertain parameters leading, consequently, to uncertainties in resulting properties.
Systematic studies involving stochastic reconstruction, geometric and topological characterization, and network modeling of chalk, aiming at computation of petrophysical properties, are reported.
Identification of functional dependence among neurons is a necessary component in both the rational design of neural prostheses as well as in the characterization of network physiology.
Here we adopt the characterization of network core-periphery which results from k-shell decomposition, a well-established technique in graph theory that is summarized in, for instance, [41].
It is conceivable that systematic characterization of network dynamics may eventually lead to better understanding of how ketamine induces unconsciousness and consequently alters the conscious mind.
In the future, PRV369 should prove useful for studying local circuits in which multiple connected neurons are visible within the same field of view, allowing noninvasive and simultaneous characterization of network activity in multiple cells.
The selected sites within the Southeastern Aerosol Research and Characterization (SEARCH) network represented a range of urban to rural areas with different contributing PM sources (Hansen et al. 2003).
