Mining users' significant driving routes with low-power sensors

While there is significant work on sensing and recognition of significant places for users, little attention has been given to users' significant routes. Recognizing these routine journeys, opens doors to the development of novel applications, like personalized travel alerts, and enhancement of user's travel experience. However, the high energy consumption of traditional location sensing technologies, such as GPS or WiFi based localization, is a barrier to passive and ubiquitous route sensing through smartphones. In this paper, we present a passive route sensing framework that continuously monitors a vehicle user solely through a phone's gyroscope and accelerometer. This approach can differentiate and recognize various routes taken by the user by time warping angular speeds experienced by the phone while in transit and is independent of phone orientation and location within the vehicle, small detours and traffic conditions. We compare the route learning and recognition capabilities of this approach with GPS trajectory analysis and show that it achieves similar performance. Moreover, with an embedded co-processor, common to most new generation phones, it achieves energy savings of an order of magnitude over the GPS sensor.This research has been funded by the EPSRC Innovation and Knowledge Centre for Smart Infrastructure and Construction project (EP/K000314).This is the author accepted manuscript. The final version is available from ACM via http://dx.doi.org/10.1145/2668332.266834

An acoustic analysis of the 1988 song of the humpback whale, Megaptera novaeangliae, off eastern Australia

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MULTIBAND ELECTRON-SPIN-RESONANCE SPECTROSCOPY OF RARE-EARTH S-IONS IN GLASSES - THE ISOSPECTRAL FREQUENCY RATIO METHOD

International audienceno abstrac

COMPUTER-SIMULATIONS OF THE EPR-SPECTRA FOR IONS WITH S-GREATER-THAN-1/2 BY THE EIGENFIELD AND RELATED METHODS

International audienceno abstrac

Electron paramagnetic resonance of Fe3+ ions in borate glass: computer simulations

Computer simulations of Fe3+ electron paramagnetic resonance spectra at X (9.5 GHz) and Q (34 GHz) bands in the alkali borate glass Li2O-2B2O3 doped with Fe2O3 have been carried out using an approach based on the eigenfield method applied to the 'rhombic' spin Hamiltonian, which contains only the Zeeman and quadrupole fine-structure terms. In order to account for the structural disorder in the glass, two different distribution densities of fine-structure parameters D and E have been tried: a two-dimensional Gaussian function of D and lambda = mod E/D mod , and the 'Czjzek function', analogous to the one used in Mossbauer-effect studies. In simulating the experimental spectra, care has been taken to fit not only to the most prominent features arising at gef approximately=4.3 (at X and Q bands) and gef approximately=2.0 (at Q band), but also to an obvious plateau of the derivative of the absorption, which extends down to the magnetic field corresponding to gef approximately=9.7 (at both bands). As a result, the Czjzek function can be ruled out. The agreement between the experimental and computer-simulated spectra found with the Gaussian distribution density suggests the existence, besides orthorhombic symmetry sites (with lambda approximately=1/3), of a considerable number of Fe3+ sites with axial or feebly rhombic distortions ( lambda <or=0.08). The relatively high mean value of the axial fine-structure parameter D is consistent with a highly distorted environment of Fe3+ ions in the glass

Using consumer electronic devices to estimate whole-body vibration exposure

The cost and complexity of commercially available devices for measuring whole-body vibration is a barrier to the systematic collection of the information required to manage this hazard at workplaces. The potential for a consumer electronic device to be used to estimate whole-body vibration was assessed by use of an accelerometer calibrator, and by collecting 42 simultaneous pairs of measurements from a fifth-generation iPod Touch and one of two gold standard vibration measurement devices (Svantech SV111 [Svantech, Warsaw, Poland] or Brüel & Kjær 4447 [Brüel & Kjær Sound & Vibration Measurement A/S, Nærum, Denmark]) while driving light vehicles on a variety of different roadway surfaces. While sampling rate limitations make the accelerometer data collected from the iPod Touch unsuitable for frequency analysis, the vibration amplitudes recorded are sufficiently accurate (errors less than 0.1 m/s) to assist workplaces manage whole-body vibration exposures. Copyrigh