Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. (arXiv:1911.11209v1 [eess.IV])

In this paper, we demonstrate the feasibility and performance of deep residual neural networks for volumetric segmentation of irreversibly damaged brain tissue lesions on T1-weighted MRI scans for chronic stroke patients. A total of 239 T1-weighted MRI scans of chronic ischemic stroke patients from a public dataset were retrospectively analyzed by 3D deep convolutional segmentation…

A Tutorial on Computing $t$-Closeness. (arXiv:1911.11212v1 [cs.CR])

This paper presents a tutorial of the computation of $t$-closeness. An established model in the domain of privacy preserving data publishing, $t$-closeness is a measure of the earth mover’s distance between two distributions of an anonymized database table. This tutorial includes three examples that showcase the full computation of $t$-closeness in terms of both numerical…

Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information. (arXiv:1911.11214v1 [cs.CL])

Clickbait headlines are frequently used to attract readers to read articles. Although this headline type has turned out to be a technique to engage readers with misleading items, it is still unknown whether the technique can be used to attract readers to reliable pieces. This study takes the opportunity to test its efficacy to engage…

One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples. (arXiv:1911.11219v1 [cs.LG])

Modern image classification systems are often built on deep neural networks, which suffer from adversarial examples–images with deliberately crafted, imperceptible noise to mislead the network’s classification. To defend against adversarial examples, a plausible idea is to obfuscate the network’s gradient with respect to the input image. This general idea has inspired a long line of…

iFUSION: Standards-based SDN Architecture for Carrier Transport Network. (arXiv:1911.11220v1 [cs.NI])

Network softwarization will permit the dynamic configuration of the transport infrastructure, in order to facilitate the adaptation needed for future advanced services. However, the promise of full flexibility can only be achieved through proper levels of abstraction and by means of normalized interfaces and service and device models. This paper presents the SDN architecture that…

Development of On Board Computer for a Nanosatellite. (arXiv:1911.11225v1 [eess.SY])

This paper describes the process of conceptualization, design, and testing of the Onboard Computer (OBC) Software for a 3U nanosatellite. The on-board computer of the satellite is responsible for initiating dataflow between onboard hardware, performing image compression, and run control algorithms like fine pointing, sun pointing, ground pointing for payload operation and idle state detumbling.…

Shape Reconstruction by Learning Differentiable Surface Representations. (arXiv:1911.11227v1 [cs.CV])

Generative models that produce point clouds have emerged as a powerful tool to represent 3D surfaces, and the best current ones rely on learning an ensemble of parametric representations. Unfortunately, they offer no control over the deformations of the surface patches that form the ensemble and thus fail to prevent them from either overlapping or…

Modeling the vertical growth of van der Waals stacked 2D materials using the diffuse domain method. (arXiv:1911.11135v1 [physics.comp-ph])

Vertically-stacked monolayers of graphene and other atomically-thin 2D materials have attracted considerable research interest because of their potential in fabricating materials with specifically-designed properties. Chemical vapor deposition has proved to be an efficient and scalable fabrication method. However, a lack of mechanistic understanding has hampered efforts to control the fabrication process beyond empirical trial-and-error approaches.…

Integrated near-field thermo-photovoltaics for on-demand heat recycling. (arXiv:1911.11137v1 [physics.app-ph])

The energy transferred via thermal radiation between two surfaces separated by nanometers distances (near-field) can be much larger than the blackbody limit. However, realizing a reconfigurable platform that utilizes this energy exchange mechanism to generate electricity in industrial and space applications on-demand, remains a challenge. The challenge lies in designing a platform that can separate…