Trus paper is concerned with the average rUDDing time of Batcher's odd-even merge sort when implemented on a collection of processors. We consider the case where n, the size of the input, is an arbitrary multiple of the number p of processors used. We show that Batcher's odd-even merge (for two sorted lists of length n each) can be implemented to run in time O«nlp)(log(2 + p2 In))) on the avera...

Torralba (Visual Neuroscience, 26, 123-131, 2009) showed that, if the resolution of images of scenes were reduced to the information present in very small "thumbnail images," those scenes could still be recognized. The objects in those degraded scenes could be identified, even though it would be impossible to identify them if they were removed from the scene context. Can tiny and/or degraded sc...

Endovascular coil embolization for intracranial aneurysms, arteriovenous malformations (AVMs), dural arteriovenous fistulas (AVFs), and hypervascular tumors are recognized as an effective adjunctive or curative treatment. In this setting, it is sometimes difficult to navigate a coil delivery microcatheter to the target point of a tiny, tortuous vessel. We herein present a case series of a novel...

This paper evaluates the performance of two prominent on-demand routing protocols, which are Dynamic Source Routing (DSR) and Ad Hoc On-Demand Distance Vector Routing (AODV) for wireless sensor networks. Results obtained from simulations demonstrates that even though DSR and AODV share a similar on-demand behavior, the differences in the protocol mechanics can lead to significant performance di...

Humans can only just recognize images with a geometric resolution of 32× 32 pixels. However, this fact does not mean that it is also possible to assign predefined scene category labels like indoor, outdoor, kitchen or beach to such a tiny image, neither for humans nor for computers. The purpose of our work is to investigate the applicability of common scene categorization methods and the import...

Finding Tiny Faces [1] released at CVPR 2017 proposes a novel approach to find small objects in an image. Our contribution consists in deeply understanding the choices of the paper together with applying and extending a similar method to a real world subject which is the counting of people in a public demonstration.

In this work, we investigate the effect of convolutional network depth, receptive field size, dropout layers, rectified activation unit type and dataset noise on its accuracy in Tiny-ImageNet Challenge settings. In order to make a thorough evaluation of the cause of the peformance improvement, we start with a basic 5 layer model with 5×5 convolutional receptive fields. We keep increasing networ...

It is of great importance to construct a stable superhydrophobic surface with low sliding angle (SA) for various applications. We used hydrophobic carbon nanotubes (CNTs) to construct the superhydrophobic hierarchical architecture of CNTs on silicon micropillar array (CNTs/Si-μp), which have a large contact angle of 153° to 155° and an ultralow SA of 3° to 5°. Small water droplets with a volume...

α-synuclein pathology presenting as tiny dots, thin neurites, and larger amorphous deposits in the subependymal area, as well as tiny dots between ependymal cells in the brains of individuals with neuropathologically proven Parkinson`s disease (Braak stages 5 and 6). Immunostaining was performed using antibody 5G4 (Roboscreen, Leipzig, Germany; we applied 1 : 2,000 dilution and a pretreatment o...