Abstract-This paper presents two new greedy sensor placement algorithms, named minimum nonzero eigenvalue pursuit (MNEP) and maximal projection on minimum eigenspace (MPME), for linear inverse problems, with greater emphasis on the MPME algorithm for performance comparison with existing approaches. In both MNEP and MPME, we select the sensing locations one-by-one. In this way, the least number of required sensor nodes can be determined by checking whether the estimation accuracy is satisfied after each sensing location is determined. For the MPME algorithm, the minimum eigenspace is defined as the eigenspace associated with the minimum eigenvalue of the dual observation matrix. For each sensing location, the projection of its observation vector onto the minimum eigenspace is shown to be monotonically decreasing w.r.t. the worst case error variance (WCEV) of the estimated parameters. We select the sensing location whose observation vector has the maximum projection onto the minimum eigenspace of the current dual observation matrix. The proposed MPME is shown to be one of the most computationally efficient algorithms. Our MonteCarlo simulations showed that MPME outperforms the convex relaxation method [1], the SparSenSe method [2], and the FrameSense method [3] in terms of WCEV and the mean square error (MSE) of the estimated parameters, especially when the number of available sensor nodes is very limited.
In this paper, incorporating the property of the vacuum negative pressure,
namely, the bag constant, we presented a new model of the equation of state
(EOS) of quark matter at finite chemical potential and zero temperature. By
comparing our EOS with Fraga {\it et~al.}'s EOS and SQM1 model, one find that
our EOS is softer than Fraga {\it et~al.}'s EOS and SQM1 model. The reason for
this difference is analyzed. With these results we investigate the structure of
quark star. A comparison between our model of quark star and other models is
made. The obtained mass of quark star is $ 1.3 \sim 1.66 M_\odot$ and the
radius is $9.5 \sim 14 Km$. One can see that our star's compactness is smaller
than that of other two models.Comment: 11 pages, 4 figure
Abstract-This letter presents a compact implantable antenna for biotelemetry in the Medical Device Radiocommunications Service (MedRadio) band (401-406MHz). By employing meandering and shorting strategy, the whole dimension (including the superstrate) of the proposed antenna can be significantly reduced to 12.5×12.5×1.27 mm³ , equivalent to 0.0168λ 0 ×0.0168λ 0 ×0.0017λ 0 (λ 0 is the free-space wavelength at 403MHz). Instead of common miniaturization methods used for implantable antennas, such as stacking multilayers and embedding slots on the ground plane, the proposed antenna is fabricated on the single-layer substrate with a full ground plane. Therefore, the proposed antenna is characterized by the advantages of easy manufacture, low cost, light mass and less sensitivity to package environment. The simulated and measured bandwidths are 6.15% and 7.26%, respectively. The peak realized gain is -32.49dBi at 403MHz. The maximum Specific Absorption Rate (SAR) value satisfies the IEEE standard safety guidelines. A prototype is fabricated and measured in vitro to verify the validity of the presented design.
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