3,538 research outputs found

    Crowd Counting Through Walls Using WiFi

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    Counting the number of people inside a building, from outside and without entering the building, is crucial for many applications. In this paper, we are interested in counting the total number of people walking inside a building (or in general behind walls), using readily-deployable WiFi transceivers that are installed outside the building, and only based on WiFi RSSI measurements. The key observation of the paper is that the inter-event times, corresponding to the dip events of the received signal, are fairly robust to the attenuation through walls (for instance as compared to the exact dip values). We then propose a methodology that can extract the total number of people from the inter-event times. More specifically, we first show how to characterize the wireless received power measurements as a superposition of renewal-type processes. By borrowing theories from the renewal-process literature, we then show how the probability mass function of the inter-event times carries vital information on the number of people. We validate our framework with 44 experiments in five different areas on our campus (3 classrooms, a conference room, and a hallway), using only one WiFi transmitter and receiver installed outside of the building, and for up to and including 20 people. Our experiments further include areas with different wall materials, such as concrete, plaster, and wood, to validate the robustness of the proposed approach. Overall, our results show that our approach can estimate the total number of people behind the walls with a high accuracy while minimizing the need for prior calibrations.Comment: 10 pages, 14 figure

    Negative-U properties for substitutional Au in Si

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    The isolated substitutional gold impurity in bulk silicon is studied in detail using electronic structure calculations based on density-functional theory. The defect system is found to be a non-spin-polarized negative-U centre, thus providing a simple solution to the long-standing debate over the electron paramagnetic resonance signal for gold in silicon. There is an excellent agreement (within 0.03 eV) between the well-established experimental donor and acceptor levels and the predicted stable charge state transition levels, allowing for the unambiguous assignment of the two experimental levels to the (1+/1-) and (1-/3-) transitions, respectively, in contrast to previously held assumptions about the system.Comment: 6 pages, 5 figure

    Van der Waals interactions in DFT made easy by Wannier functions

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    Ubiquitous Van der Waals interactions between atoms and molecules are important for many molecular and solid structures. These systems are often studied from first principles using the Density Functional Theory (DFT). However, the commonly used DFT functionals fail to capture the essence of Van der Waals effects. Many attempts to correct for this problem have been proposed, which are not completely satisfactory because they are either very complex and computationally expensive or have a basic semiempirical character. We here describe a novel approach, based on the use of the Maximally-Localized Wannier functions, that appears to be promising, being simple, efficient, accurate, and transferable (charge polarization effects are naturally included). The results of test applications are presented.Comment: submitted to Phys. Rev. Let

    Nitrate Leaching in Soils Treated With Activated Sludge, Cattle Manure and Chemical Fertilizers

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    Nitrogen fertilizers have been recognized as an important factor in crop’s yield level, however more application of N fertilizers in the soil have some adverse effects on environment and especially on ground water contamination. Perception and recognition the factors influencing nitrate transport through soil profile is helpful for fertilizer management to minimize adverse impacts on environment and nitrate leaching below the root zone. In this study, 15 large cylindrical lysimeters with 1 m height and 0.56 m diameter were filled with clay and sandy loam soil and planted with maize to investigate nitrate leaching under different types of N-fertilizer; activated sludge (20 ton/ha), cattle manure (40 ton/ha) and chemical fertilizer (containing 70 kg N/ha). Also 3 lysimeters with 1.4 m height were used to investigate the effect of soil depth in nitrate leaching in sandy loam soil. Totally the study involved nine treatments. Nitrate concentrations in the soil and drainage water samples were analyzed by spectrophotometer method and nitrate mass were calculated in irrigation water, soil and drainage water. Crop production for different treatments has been compared too. The nitrate-N concentrations were higher than 10 mg N/L (the maximum acceptable concentration) in 60% of the observations for OFcl. The Nitrate-N concentrations were higher than 10 mg N/L in 48 and 51% of the samplings for the CFcl and OFcl treatments, respectively. The Nitrate-N concentrations were almost always lesser than 10 mg/L in the lysimeters containing sandy loam soil. Results illustrate nitrate leaching from activated sludge and organic fertilizer in clay loam soil was significantly greater than the other treatments (110 kg/ha and 229 kg/ha respectively). Among all treatments of this study organic manure in clay loam soil had the greatest nitrate accumulation in soil (15.17 mg/kg) and chemical fertilizer in sandy loam soil had the least (8.56 mg/kg). Experimental results also showed that manure application could result in NO3 --N accumulation increase in the deeper soil profiles compared with mineral fertilization and activated sludge. The results demonstrate that nitrate, from the activated sludge and chemical fertilizers, transported through the soil profile is more than the organic manure after the 75 cm depth, and the accumulation of organic fertilizer is mostly 60 to 90 cm depth from the soil surface

    Generalized Wannier functions: a comparison of molecular electric dipole polarizabilities

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    Localized Wannier functions provide an efficient and intuitive means by which to compute dielectric properties from first principles. They are most commonly constructed in a post-processing step, following total-energy minimization. Nonorthogonal generalized Wannier functions (NGWFs) [Skylaris et al., Phys. Rev. B 66, 035119 11 (2002); Skylaris et al., J. Chem. Phys. 122, 084119 (2005)] may also be optimized in situ, in the process of solving for the ground-state density. We explore the relationship between NGWFs and orthonormal, maximally localized Wannier functions (MLWFs) [Marzari and Vanderbilt, Phys. Rev. B 56, 12847 (1997); Souza, Marzari, and Vanderbilt, ibid. 65, 035109 (2001)], demonstrating that NGWFs may be used to compute electric dipole polarizabilities efficiently, with no necessity for post-processing optimization, and with an accuracy comparable to MLWFs.Comment: 5 pages, 1 figure. This version matches that accepted for Physical Review B on 4th May 201

    Subspace representations in ab initio methods for strongly correlated systems

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    We present a generalized definition of subspace occupancy matrices in ab initio methods for strongly correlated materials, such as DFT+U and DFT+DMFT, which is appropriate to the case of nonorthogonal projector functions. By enforcing the tensorial consistency of all matrix operations, we are led to a subspace projection operator for which the occupancy matrix is tensorial and accumulates only contributions which are local to the correlated subspace at hand. For DFT+U in particular, the resulting contributions to the potential and ionic forces are automatically Hermitian, without resort to symmetrization, and localized to their corresponding correlated subspace. The tensorial invariance of the occupancies, energies and ionic forces is preserved. We illustrate the effect of this formalism in a DFT+U study using self-consistently determined projectors.Comment: 15 pages, 8 figures. This version (v2) matches that accepted for Physical Review B on 15th April 201

    Improving the conductance of carbon nanotube networks through resonant momentum exchange

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    We present a mechanism to improve the conductivity of carbon nanotube (CNT) networks by improving the conductance between CNTs of different chirality. We argue generally that a weak perturbation can greatly improve the inter-tube conductance by allowing momentum-conserving tunnelling. The mechanism is verified with a tight-binding model, allowing an investigation of its impact for a network containing a range of chiralities. We discuss practical implementations, and conclude that it may be effected by weak physical interactions, and therefore does not require chemical bonding to the CNTs.Comment: 6 pages, 4 figure
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