A response-aware risk management framework for search-and-rescue operations

A proactive risk-aware robotic sensor network for Critical Infrastructure Protection

“…The battery input source is fuzzified using a triangular membership function defined by A = 0, B = 0, and C = 100, whereas the intrusion distance input is fuzzified using a trapezoidal membership function defined by A = 0, B = 0, C = 2, and D = 3. The same researchers extended the work in [10], applying the framework to the domain of Maritime Search-AndRescue.…”

“…The objectives of this thesis is to extend the work of [9] and [10] in parallel with [7] and [11] to develop a Risk Management Framework (RMF) for an RSN, in turn, creates a risk-aware RSN capable of assessing and mitigating risk. A depiction of the adopted RMF is shown in Figure 1.1 along with a visual mapping of this thesis' contributions applied to the framework.…”

“…Authors in [9], [10], [16], and [17] all explore fuzzy-based risk modeling techniques. However, Falcon and Abielmona [9] proposes an evolving human- Extracted from [9] The framework requires the characterization of a set of n risk features defined by set F in Equation (2.1).…”

“…A RMF developed in [9] and [10], will be a foundation for this work The framework is illustrated in Figure 3.1, which clearly shows each component and the relationships between components. [9] and [10] This chapter discusses the various components of the RMF. In the first section, the data sources (i.e., environment) used and how this data is prepared for processing is presented.…”

“…• Electric Field Measurement Data for a single robotic node is packed into a data snapshot to be processed by the risk feature extraction module as was done in [9] and [10] and as depicted in Figure 3.2. The data snapshot [ ], uses a discrete time index .…”