A Detailed Simulation Study of the Push-Based Protocol for Critical Data Dissemination in Vehicular Named Data Networks

Author(s):  
Muhammad Azfar Yaqub ◽  
Syed Hassan Ahmed ◽  
Dongkyun Kim
2019 ◽  
Vol 16 (2) ◽  
pp. 18-31
Author(s):  
Kevin Rogan

Critical data studies have made great strides in bringing together data analysts and urban design, providing an extensible concept which is useful in visualizing the role of local and planetary data networks. But in the light of the experience of Sidewalk Labs, critical data studies need a further push. As smart cities, algorithmic urbanisms, and sensorial regimes inch closer and closer to reality, critical data studies remain woefully blind to economic and political issues. Data remains undertheorized for its economic content as a commodity, and the political ramifications of the data assemblages remain locked in a proto-political schema of good and bad uses of this vast network of data collection, analysis, research, and organization. This paper attempts to subject critical data studies to a rigorous critique by deepening its relationship to the history thus far of Sidewalk Labs’ project in Quayside, Toronto. It is broken into sections. The first section discusses the material reality of Kitchin and Lauriault’s (2014) data assemblages and data landscapes. The second section investigates data itself and what its ‘inherent’ value means in an economic sense. The third section looks at the way the understanding of data promoted by the data assemblage effects smart city design. The fourth section examines the role of the designer in shepherding this vision, and moreover the data assemblage, into existence.


2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Adnan Agbaria ◽  
Muhamad Hugerat ◽  
Roy Friedman

Data dissemination is an important service in mobile ad hoc networks (MANETs). The main objective of this paper is to present a dissemination protocol, calledlocBcast, which utilizes positioning information to obtain efficient dissemination trees with low-control overhead. This paper includes an extensive simulation study that compares locBast with selfP, dominantP, fooding, and a couple of probabilistic-/counter-based protocols. It is shown that locBcast behaves similar to or better than those protocols and is especially useful in the following challenging environments: the message sizes are large, the network is dense, and nodes are highly mobile.


Soft Matter ◽  
2018 ◽  
Vol 14 (47) ◽  
pp. 9562-9570 ◽  
Author(s):  
Petra Bačová ◽  
Romanos Foskinis ◽  
Emmanouil Glynos ◽  
Anastassia N. Rissanou ◽  
Spiros H. Anastasiadis ◽  
...  

We present a detailed simulation study of the structural and dynamical behavior of amphiphilic mikto-arm stars versus that of linear diblock copolymers in a selective homopolymer host.


2008 ◽  
Vol 55 (2) ◽  
pp. 640-648 ◽  
Author(s):  
James G. Fiorenza ◽  
Ji-Soo Park ◽  
Anthony Lochtefeld

2020 ◽  
Vol 27 (9) ◽  
pp. 1437-1442 ◽  
Author(s):  
Xiao Dong ◽  
Jianfu Li ◽  
Ekin Soysal ◽  
Jiang Bian ◽  
Scott L DuVall ◽  
...  

Abstract Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) codes. COVID-19 TestNorm was developed and evaluated using 568 test names collected from 8 healthcare systems. Our results show that it could achieve an accuracy of 97.4% on an independent test set. COVID-19 TestNorm is available as an open-source package for developers and as an online Web application for end users (https://clamp.uth.edu/covid/loinc.php). We believe that it will be a useful tool to support secondary use of EHRs for research on COVID-19.


2017 ◽  
Vol 21 (4) ◽  
pp. 873-876 ◽  
Author(s):  
Muhammad Faran Majeed ◽  
Syed Hassan Ahmed ◽  
Matthew N. Dailey

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