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We define and evaluate methods to perform robust network monitoring using trajectory sampling in the presence of report loss. The first challenge is to reconstruct an unambiguous set of packet trajectories from the reports on sampled packets received at a ...
To investigate the mechanisms of perceptual learning, we recently introduced a paradigm in which incorrect, reverse feedback followed after some but not all vernier presentations. This feedback paradigm exerted a strong effect on performance that seemed to ...
A novel approach for implementing MOS current-mode logic (MCML) circuits that can operate with ultra low bias currents is introduced. Measurements of test structures fabricated in 0.18 μm CMOS technology show that the proposed PMOS load device concept can ...
Several members of the perovskite family are investigated: the temperature dependence of dielectric, elastic, piezoelectric and coupling coefficients of KNbO3 in its orthorhombic ferroelectric phase is determined experimentally; the values of dielectric st ...
This article presents a novel and robust approach for implementing ultra-low power MOS current mode logic (MCML) circuits. To operate at very low bias currents, a simple and compact high resistance load device has been introduced. Operating in subthreshold ...
The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious ...
Magnetic Resonance Imaging (MRI) is nowadays a widely used medical tool, as it is a non-invasive and non-harmful way to study inner soft tissues. One of the characteristics of this method is the bias field, also called Intensity In-homogeneity (IIH), which ...
We present a systematic comparison of tropospheric NO2 from 17 global atmospheric chemistry models with three state-of-the-art retrievals from the Global Ozone Monitoring Experiment (GOME) for the year 2000. The models used constant anthropogenic emissions ...
Energy-based detection and estimation are crucial in sensor networks for sensor localization, target tracking, etc. In this paper, we present novel Gaussian approximations that are applicable to general energy-based source detection and localization proble ...
The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious ...
