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21.3.2 Weaknesses > Privacy - Pg. 545

CHAPTER 21 1 0.9 1 Detection rate Detection rate 0.8 0.6 0.4 0.2 0 1 Fa lse Sense and Response Systems for Crisis Management 1 0.9 0.8 Detection rate 0.7 0.6 0.5 0.4 0.3 Central Side Corner Naive 545 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.5 ala rm 6 4 nds Seco 8 10 0.1 0 0 2 4 Seconds 6 8 0.2 0.1 10 0 0 2 4 Seconds (c) 20 Phidgets 6 8 Central Side Corner Naive rat e 0 0 2 10 (a) ROC transition in the corner scenario with 2000 Androids. (b) 2000 Androids FIGURE 21-5 Detection of a M5.5 event with (b) 2000 Androids and (c) 20 Phidgets in the three scenarios described in Figure 21-4. This result guarantees at most one false alarm per year at the system-wide level. Results computed using the geocell-based association algorithm are compared to those using the naive algorithm. delayed decision making and gain in detection confidence. In the case with 2000 Androids (Figure 21-5(b)), we can fire off alarm at T = 2 s that allows us to give 10 s of early warning to surrounding cities such as Santa Barbara or San system may be managed and deployed entirely by the government, whereas a system to sense and respond to fires or earthquakes may use smoke alarms and accelerometers deployed by ordinary citizens. This section discusses the advantages