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Academic Articles & Research Papers
Showing 20 of 788 academic articles
Victor Lesser, Daniel D. Corkill • IEEE Transactions on Systems Man and Cybernetics
(1981)
A new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed. The approach differs from conventional ones in its emphasis on handling distribution-caused uncertainty and errors...
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DOI: https://doi.org/10.1109/tsmc.1981.4308581
Akinori Yonezawa, Carl E. Hewitt (1977)
Distributed systems are multi-processor information processing systems which do not rely on the central shared memory for communication. The importance of distributed systems has been growing with the advent of "computer...
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Gordon S. Blair, Massimo Paolucci, Paul Grace, Nikolaos Georgantas • Lecture notes in computer science
(2011)
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Open Access
DOI: https://doi.org/10.1007/978-3-642-21455-4_1
John P. John, Ethan Katz-Bassett, Arvind Krishnamurthy, Thomas E. Anderson et al. (2008)
Internet routing protocols (BGP, OSPF, RIP) have traditionally favored responsiveness over consistency. A router applies a received update immediately to its forwarding table before propagating the update to other routers, including those t...
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Ivan Beschastnikh, Patty Wang, Yuriy Brun, Michael D. Ernst • Communications of the ACM
(2016)
ShiViz is a new distributed system debugging visualization tool....
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Open Access
DOI: https://doi.org/10.1145/2909480
Ivan Beschastnikh, Perry Liu, Albert Xing, Patty Wang et al. • ACM Transactions on Software Engineering and Methodology
(2020)
Distributed systems pose unique challenges for software developers. Understanding the system’s communication topology and reasoning about concurrent activities of system hosts can be difficult. The standard approach, analyzing system logs, ...
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Open Access
DOI: https://doi.org/10.1145/3375633
Lik Mui, Mojdeh Mohtashemi, Cheewee Ang, Peter Szolovits et al. • DSpace@MIT (Massachusetts Institute of Technology)
(2002)
For distributed systems at large and e-commerce systems in particular, ratings play an increasingly important role. Ratings confer reputation measures about sources. This paper reports our formalization of the rating process. This paper arg...
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Gul Agha • DSpace@MIT (Massachusetts Institute of Technology)
(1986)
A foundational model of concurrency is developed in this thesis. It examines issues in the design of parallel systems and show why the actor model is suitable for exploiting large-scale parallelism. Concurrency in actors is constrained only...
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Geneviève Schméder, Emmanuel Darmois • Routledge eBooks
(2018)
All civilian and military activities have become highly dependent on cyberspace. This creates new vulnerabilities both to accidents and intentional threats. Malevolent individuals and organisations may, without any physical presence, infilt...
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DOI: https://doi.org/10.4324/9781315104232-11
Matthew N.O. Sadiku • CRC Press eBooks
(2019)
This chapter begins with cybersecurity features. It covers various forms of cyber threats: cyberattacks, cyberterrorism, and cyberbullying. The chapter addresses cybersecurity governance and the trade-offs between cybersecurity and freedom....
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DOI: https://doi.org/10.1201/9780429020247-5
Ben D. Sawyer, Peter A. Hancock • Human Factors The Journal of the Human Factors and Ergonomics Society
(2018)
OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...
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Open Access
DOI: https://doi.org/10.1177/0018720818780472
Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research
(2018)
BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...
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DOI: https://doi.org/10.2139/ssrn.3100364
PMC: 5996174
Leslie F. Sikos • Knowledge and Information Systems
(2023)
Abstract Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist s...
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DOI: https://doi.org/10.1007/s10115-023-01860-3
Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK)
(2016)
Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...
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DOI: https://doi.org/10.1145/2883851.2883932
Mark A. Kramer • Computers & Chemical Engineering
(1992)
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DOI: https://doi.org/10.1016/0098-1354(92)80051-a
Mikhail Yurochkin, Mayank Agarwal, Ghosh, Soumya, Kristjan H. Greenewald et al. • arXiv (Cornell University)
(2019)
In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited. We develop a Bayesian nonparametric framework for federated learning with neural networks. Each data...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1905.12022
Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks
(2001)
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...
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DOI: https://doi.org/10.1002/047084535x
M.J. Willis, Christine Di Massimo, Gary A. Montague, Ming T. Tham et al. • IEE Proceedings D Control Theory and Applications
(1991)
Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given t...
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DOI: https://doi.org/10.1049/ip-d.1991.0036
Timothy X. Brown • IEEE Communications Magazine
(1989)
The author argues that a strong impetus for using neural networks is that they provide a framework for designing massively parallel machines. He notes that the highly interconnected architecture of switching networks suggests similarities t...
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DOI: https://doi.org/10.1109/35.41403
C. H. Chen • McGraw-Hill, Inc. eBooks
(1996)
Fuzzy logic principles and algorithms design guidelines for fuzzy logic systems enhanced training algorithms maximum likelihood training temporal difference learning NADINE hybrid learning systems explanation and reasoning within connectivi...
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