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The proliferation of pervasive computing applications relying on battery--powered devices and wireless connectivity is posing great emphasis on the issue of power optimization. While node--level models and approaches have been widely discussed, a problem requiring even greater attention is that of power associated with the communication protocols. We(More)
Indoor localization and tracking of moving human targets is a task of recognized importance and difficulty. In this paper we describe a position measurement technique based on the fusion of various sensor data collected using a wearable embedded platform. Since the accumulated measurement uncertainty affecting inertial data (especially due to the onboard(More)
In this work we address the problem of static state estimation (SE) in distribution grids by leveraging historical meter data (pseudo-measurements) with real-time measurements from synchrophasors (PMU data). We present a Bayesian linear estimator based on a linear approximation of the power flow equations for distribution networks, which is computationally(More)
Indoor position tracking systems are essential to support new types of applications for domotics and elderly care services. Unfortunately, while locating moving objects (e.g., people in a room) typically requires accuracy in the order of a few tens of cm, the intrinsically crowded nature of indoor environments (e.g., due to the presence of obstacles and/or(More)
This paper deals with two different techniques for the establishment of the optimal calibration intervals of Cesium atomic clocks. In particular, the intervals obtained using a mathematical model derived from a metrological analysis are compared with those calculated with an iterative technique referred to as Simple Response Method (SRM). The remarkable(More)