Secure Full-Duplex Device-to-Device Communication

This paper considers full-duplex (FD) device-to-device (D2D) communications in a downlink MISO cellular system in the presence of multiple eavesdroppers. The D2D pair communicate sharing the same frequency band allocated to the cellular users (CUs). Since the D2D users share the same frequency as the CUs, both the base station (BS) and D2D transmissions interfere each other. In addition, due to limited processing capability, D2D users are susceptible to external attacks. Our aim is to design optimal beamforming and power control mechanism to guarantee secure communication while delivering the required quality-of-service (QoS) for the D2D link. In order to improve security, artificial noise (AN) is transmitted by the BS. We design robust beamforming for secure message as well as the AN in the worst-case sense for minimizing total transmit power with imperfect channel state information (CSI) of all links available at the BS. The problem is strictly non-convex with infinitely many constraints. By discovering the hidden convexity of the problem, we derive a rank-one optimal solution for the power minimization problem.Comment: Accepted in IEEE GLOBECOM 2017, Singapore, 4-8 Dec. 201

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

It is possible to associate a highly constrained subset of relative 6 DoF poses between two 3D shapes, as long as the local surface orientation, the normal vector, is available at every surface point. Local shape features can be used to find putative point correspondences between the models due to their ability to handle noisy and incomplete data. However, this correspondence set is usually contaminated by outliers in practical scenarios, which has led to many past contributions based on robust detectors such as the Hough transform or RANSAC. The key insight of our work is that a single correspondence between oriented points on the two models is constrained to cast votes in a 1 DoF rotational subgroup of the full group of poses, SE(3). Kernel density estimation allows combining the set of votes efficiently to determine a full 6 DoF candidate pose between the models. This modal pose with the highest density is stable under challenging conditions, such as noise, clutter, and occlusions, and provides the output estimate of our method. We first analyze the robustness of our method in relation to noise and show that it handles high outlier rates much better than RANSAC for the task of 6 DoF pose estimation. We then apply our method to four state of the art data sets for 3D object recognition that contain occluded and cluttered scenes. Our method achieves perfect recall on two LIDAR data sets and outperforms competing methods on two RGB-D data sets, thus setting a new standard for general 3D object recognition using point cloud data.Comment: Accepted for International Conference on Computer Vision (ICCV), 201

Additional file 1: of Unity in diversity: a survey of muscular systems of ctenostome Gymnolaemata (Lophotrochozoa, Bryozoa)

Table S1. List of muscular characters in the analysed ctenostome bryozoans. (DOCX 20 kb

Correlations between auditory thresholds and fish size at each frequency tested.

<p>Plots of hearing thresholds of each individual against standard-length at each frequency tested. N-values, Pearson's correlation coefficients and significances are given in graphs. Regression equations: x = standard length, y = hearing threshold (dB re 1 µPa); 50 Hz: y = −0.11 x+108.90; 70 Hz: y = −0.12 x+108.92; 100 Hz: y = −0.17 x+110.51; 300 Hz: y = −0.17 x+105.66; 500 Hz: y = −0.38 x+114.09; 800 Hz: y = −0.52 x+118.88; 1000 Hz: y = −0.57 x+120.92; 2000 Hz: breaking point (BP) = 30.18 mm, SLBP: y = 0.01 x+85.64; 3000 Hz: BP = 30.77 mm, SLBP: y = 0.15 x+76.68; 4000 Hz: y = 0.23 x+72.87; 5000 Hz: y = 0.16 x+83.01; 6000 Hz: y = 0.31 x+76.61. Regression lines in 2000 Hz and 3000 Hz were drawn according to the results of the segmented linear regression calculation. Note two p and r values (one for each regression) in graphs of 2000 Hz and 3000 Hz.</p

Additional file 1 of Genomic and transcriptomic survey of bryozoan Hox and ParaHox genes with emphasis on phylactolaemate bryozoans

Supplementary Material

Chain of Weberian ossicles.

<p>Photomicrograph and overview drawing of an alizarin-stained specimen of 27.7 mm SL (group S) showing a complete chain of Weberian ossicles and interossicular ligaments. Surrounding bones and tissues have been removed. Cl – Claustrum, Ic – Intercalarium, IL – Interossicular ligaments, Sb – Swimbladder (part), Sc – Scaphium, Tr – Tripus; scale bar = 500 µm; anterior is to the left, posterior to the right, dorsal above, ventral below.</p

Auditory evoked potential audiograms of the five size groups.

<p>Mean hearing thresholds of representatives of size groups XS (N = 7), S (N = 7), M (N = 7), L (N = 8) and XL (N = 7) of <i>Lophiobagrus cyclurus</i>. Catfish pictures show representative specimens of group XS (upper) and XL (lower) drawn to scale for comparative purposes.</p

Comparison of Weberian ossicles.

<p>3D-reconstruction based on serial semithin section photomicrographs (A, B) and based on an image stack from a µCT scan (C, D) showing isolated Weberian ossicles. (A) shows a lateral and (B) a ventral view of a specimen of 11.3 mm SL (group XS) and (C) lateral and (D) ventral view of a 85.5 mm SL specimen (group XL). Cl – Claustrum, Ic – Intercalarium, Sc – Scaphium, Tr – Tripus; scale bars in A, B = 300 µm and in C, D = 3 mm; anterior is to the left, posterior to the right, (A), (C): dorsal above, ventral below.</p

Semithin section in the region of the Weberian ossicles.

<p>Near-cross section of a specimen of group XS (SL = 11.3 mm) in the area of the anteriormost vertebrae and the Weberian ossicles. Ossified areas of scaphium and tripus are visible, but there is no indication of interossicular ligaments or intercalarium. Sc – Scaphium, Tr – Tripus, Sb – Swimbladder, Co – Spinal cord; scale bar = 300 µm (right) and 1 mm (left – for overview picture). This is one of the pictures used for 3D reconstructions of group XS (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0018511#pone-0018511-g001" target="_blank">Figure 1</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0018511#pone-0018511-g002" target="_blank">Figure 2 A, B</a>).</p

Weberian ossicles and surrounding tissue structures of a specimen of group XS.

<p>3D-reconstruction of the posterior skull region of a 11.3 mm SL specimen of <i>Lophiobagrus cyclurus</i> based on serial semithin sections. Weberian ossicles (tripus, scaphium, claustrum), inner ear, parts of CNS, chorda and vertebral column are shown. (A) lateral view, (B) ventral view. Ch – Chorda, Cl – Claustrum, CNS – Central nervous system, IE – Inner ear, NA – Neural arch, Sc – Scaphium, Tr – Tripus, scale bar = 300 µm: anterior is to the left, posterior to the right, (A): dorsal above, ventral below.</p