scholarly journals An event-driven distributed processing architecture for image-guided cardiac ablation therapy

2009 ◽  
Vol 95 (2) ◽  
pp. 95-104 ◽  
Author(s):  
M.E. Rettmann ◽  
D.R. Holmes ◽  
B.M. Cameron ◽  
R.A. Robb
2013 ◽  
Author(s):  
M. E. Rettmann ◽  
T. Stephens ◽  
D. R. Holmes ◽  
C. Linte ◽  
D. L. Packer ◽  
...  

2018 ◽  
Vol 5 (02) ◽  
pp. 1 ◽  
Author(s):  
Cristian A. Linte ◽  
Jon J. Camp ◽  
Maryam E. Rettmann ◽  
Dieter Haemmerich ◽  
Mehmet K. Aktas ◽  
...  

2014 ◽  
Vol 5 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Sheila Cobourne ◽  
Lazaros Kyrillidis ◽  
Keith Mayes ◽  
Konstantinos Markantonakis

Voting in elections is the basis of democracy, but voting at polling stations may not be possible for all citizens. Remote (Internet) e-voting uses the voter's own equipment to cast votes, but is potentially vulnerable to many common attacks, which affect the election's integrity. Security can be improved by distributing vote processing over many web servers installed in tamper-resistant, secure environments, using the Smart Card Web Server (SCWS) on a mobile phone Subscriber Identity Module (SIM). A generic voting model is proposed, using a SIM/SCWS voting application with standardised Mobile Network Operator (MNO) management procedures to process the votes cast. E-voting systems Prêt à Voter and Estonian I-voting are used to illustrate the generic model. As the SCWS voting application is used in a distributed processing architecture, e-voting security is enhanced: to compromise an election, an attacker must target many individual mobile devices, rather than a centralised web server.


2016 ◽  
Vol 63 (11) ◽  
pp. 2301-2307 ◽  
Author(s):  
Daniel Gelman ◽  
Allan C. Skanes ◽  
Mohammad A. Tavallaei ◽  
Maria Drangova

2015 ◽  
Vol 118 (2) ◽  
pp. 198-206 ◽  
Author(s):  
Maryam E. Rettmann ◽  
David R. Holmes III ◽  
Jerome F. Breen ◽  
Xin Ge ◽  
Ronald A. Karwoski ◽  
...  

2014 ◽  
Vol 519-520 ◽  
pp. 54-57
Author(s):  
Ai Ling Duan ◽  
Dan Cao ◽  
Hai Fang Si

Distributed search techniques of Hadoop are researched and analyzed. Combined with Lucene indexing objects, a search engine system IS successfully built. Efficiency of the system in both time and space is investigated. Merit of distributed processing architecture for a single architecture in data handling is verified. The access and update of file information in distributed search technology are further explored. The research plays a positive role in promoting study of related fields


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