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Uncertainty Quantification for Turbulent Mixing Flows: Rayleigh-Taylor Instability [chapter]

T. Kaman, R. Kaufman, J. Glimm, D. H. Sharp
2012 IFIP Advances in Information and Communication Technology  
For the micro observables, recent theories argue that convergence of numerical simulations in Large Eddy Simulations (LES) should be governed by space-time dependent probability distribution functions  ...  New results are presented here for macro and micro observables.  ...  Computational resources were provided by the Stony Brook Galaxy cluster and the Stony Brook/BNL New York Blue Gene/L IBM machine.  ... 
doi:10.1007/978-3-642-32677-6_14 fatcat:g5ddqxe2avfa5etqxpknlmiitu

Enhanced PeerHunter: Detecting Peer-to-Peer Botnets Through Network-Flow Level Community Behavior Analysis

Di Zhuang, J. Morris Chang
2019 IEEE Transactions on Information Forensics and Security  
Finally, it uses network-flow level community behavior analysis to detect potential botnets.  ...  We propose Enhanced PeerHunter, a network-flow level community behavior analysis based system, to detect P2P botnets. Our system starts from a P2P network flow detection component.  ...  To demonstrate the features discussed in this section, we conducted some preliminary experiments using dataset shown in Table III and Table IV (24 hours network traces of 4 legitimate P2P applications  ... 
doi:10.1109/tifs.2018.2881657 fatcat:jo6nqlowdfgojb2wfqpmvis2xm

Information Flow from COVID-19 Pandemic to Islamic and Conventional Equities: An ICEEMDAN-Induced Transfer Entropy Analysis

Ahmed Bossman, Paulo Jorge Silveira Ferreira
2021 Complexity  
This paper examined the impact of COVID-19 information flow on the Islamic and conventional equities within the short-, mid-, and long-term horizons to assess possible diversification prospects in the  ...  The findings divulge diversification opportunities between Islamic and conventional equities in the short- and mid-term periods of the COVID-19 pandemic.  ...  Information flow is insignificant if there is any overlap at the origin. Rényi ETEs Analysis.  ... 
doi:10.1155/2021/4917051 fatcat:s5mfseuvqbfk3bcajuw2u33vrq

A New Lookup Model for Multiple Flow Tables of Open Flow with Implementation and Optimization Considerations

Zhi Chen, Yulei Wu, Jingguo Ge, E. Yuepeng
2014 2014 IEEE International Conference on Computer and Information Technology  
Preliminary simulation results demonstrate that the proposed solution can effectively reduce the storage space of flow tables.  ...  The single flow table of OpenFlow implementation can lead to fast storage space growth, and finally cause table-overflow; the multiple flow tables can address this problem and provide greater efficiency  ...  Preliminary simulation experiments have shown that the proposed approach can effectively reduce the storage space of sub-flow tables with split fields.  ... 
doi:10.1109/cit.2014.108 dblp:conf/IEEEcit/ChenWGE14 fatcat:bhszd65pmra4tgrnfuq2eromfi

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons

Maya Maimon, Larry Manevitz
2007 Journal of combinatorial optimization  
In this work, a simulation model appropriate for working with large number of neurons was developed, and Information Theory measuring tools were designed to monitor the flow of information in such large  ...  Keywords Large scale neural simulator · Temporal discrete integrate and fire · Information theory · Bias or priming hypothesis Introduction It is well known that the human cortex is extremely large in  ...  Leonardo Franco is particularly thanked for explicating the use of information theory in this context and Paul Gabbott is thanked for painstakingly describing various aspects of physiology.  ... 
doi:10.1007/s10878-007-9103-3 fatcat:qufoexdv2rhnfheozwaebglapy

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

M. Jorge Cardoso, Marc Modat, Robin Wolz, Andrew Melbourne, David Cash, Daniel Rueckert, Sebastien Ourselin
2015 IEEE Transactions on Medical Imaging  
A spatially-variant graph structure connecting morphologically similar subjects is introduced over a database of images, enabling the gradual diffusion of information to all the subjects, even in the presence  ...  However, due to the time consuming nature of manually generating these annotations, they tend to be scarce and limited to small subsets of data.  ...  For more information, see http://creativecommons.org/licenses/by/3.0/. This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tmi.2015.2418298 pmid:25879909 fatcat:ipq3uexopjdpnhrx2ylttxlqyq

Directional and Causal Information Flow in EEG for Assessing Perceived Audio Quality [article]

Ketan Mehta, Joerg Kliewer
2018 arXiv   pre-print
A causal information theoretic framework is then proposed to measure the information flow between EEG sensors appropriately grouped into different regions of interest (ROI) over the cortex.  ...  CBI can be intuitively interpreted as a causal bidirectional modification of directed information, and inherently calculates the divergence of the observed data from a multiple access channel with feedback  ...  Preliminaries In our analysis, we separately extract the EEG response sections for each of the two audio quality levels and calculate the information measures individually for each of them.  ... 
arXiv:1802.06327v1 fatcat:r33mjhfyojb3xakp2mq6sr43pi

Discriminating DDoS Flows from Flash Crowds Using Information Distance

Shui Yu, Theerasak Thapngam, Jianwen Liu, Su Wei, Wanlei Zhou
2009 2009 Third International Conference on Network and System Security  
We employ abstract distance metrics, the Jeffrey distance, the Sibson distance, and the Hellinger distance to measure the similarity among flows to achieve our goal.  ...  Therefore, the flow similarity among DDoS attack flows is much stronger than that among flash crowds.  ...  There are two categories in this kind of measurement: a) measure based on information theory, and b) measure of affinity [18] .  ... 
doi:10.1109/nss.2009.29 dblp:conf/nss/YuTLWZ09 fatcat:rjyiug2j6fekthhuoqtqyihwmy

Extending the Navier–Stokes solutions to transition regime in two-dimensional micro- and nanochannel flows using information preservation scheme

Ehsan Roohi, Masoud Darbandi
2009 Physics of Fluids  
The kinetic-theory-based numerical schemes, such as direct simulation Monte Carlo ͑DSMC͒ and information preservation ͑IP͒, can be readily used to solve transition flow regimes.  ...  Using the new viscosity coefficient, we also derive an analytical expression for the mass flow rate, which provides accurate solutions for KnϽ 0.5 and even beyond in micro-and nanochannel flows.  ...  Shidvash Vakilipour ͑Sharif University of Technology, Iran͒ for suggestions to extend the current work and Dr. Tom Scanlon ͑University of Strathclyde, U.K.͒ for reading of the manuscript.  ... 
doi:10.1063/1.3177351 fatcat:buxn2eqqh5fjlileqsesmiie7y

Inference of Causal Information Flow in Collective Animal Behavior

Warren M. Lord, Jie Sun, Nicholas T. Ouellette, Erik M. Bollt
2016 IEEE Transactions on Molecular, Biological and Multi-Scale Communications  
A different approach is to define coordinated motions in terms of an information theoretic channel of direct causal information flow.  ...  The collection of channels inferred by oCSE describes a network of information flow within the swarm.  ...  Samuel Stanton from the ARO Complex Dynamics and Systems Program for his ongoing and continuous support.  ... 
doi:10.1109/tmbmc.2016.2632099 dblp:journals/tmbmc/Lord0OB16 fatcat:5xqjrzifonaapmzxu7p5hzdt3q

The lemniscate knowledge flow model

Paweł Weichbroth, Kamil Brodnicki
2017 Proceedings of the 2017 Federated Conference on Computer Science and Information Systems  
In this paper we introduce the generic lemniscate knowledge flow model, which, grounded on recognized theory, learned principles and gathered practices, provides foundations to solve the above problem.  ...  Therefore, sharing and reusing are the main goals of the modern knowledge management (KM) approach, driven by information and communication technologies (ICT).  ...  Answers to these questions are embodied in the form of the generic lemniscate knowledge flow model and its detailed description, which, grounded on recognized theory, learned principles and gathered practices  ... 
doi:10.15439/2017f357 dblp:conf/fedcsis/WeichbrothB17 fatcat:n6hm46l6tzdz3kglxgyzibwhiq

On the Complexity of Generating Gate Level Information Flow Tracking Logic

Wei Hu, Jason Oberg, Ali Irturk, Mohit Tiwari, Timothy Sherwood, Dejun Mu, Ryan Kastner
2012 IEEE Transactions on Information Forensics and Security  
Index Terms-Algorithm design and analysis, Boolean functions, computational complexity, gate level information flow tracking, information security.  ...  Recently, gate level information flow tracking (GLIFT) has been proposed to verify information flow security at the level of Boolean gates.  ...  PRELIMINARIES This section introduces the basics of information flow security, describes the fundamentals of GLIFT, and shows how to use GLIFT to create a secure hardware design flow.  ... 
doi:10.1109/tifs.2012.2189105 fatcat:qx4hz5m4vra7dex2zxoippiphm

Time-Optimized Contextual Information Flow on Unmanned Vehicles

K. Panagidi, I. Galanis, C. Anagnostopoulos, S. Hadjiefthymiades
2018 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)  
This framework relies on the Theory of Optimal Stopping to assess in realtime the trade-off between the delivery of the messages and the network quality statistics and optimally schedules critical information  ...  Nowadays, the domain of robotics experiences a significant growth. We focus on Unmanned Vehicles intended for the air, sea and ground (UxV).  ...  ACKNOWLEDGEMENT This work is co-funded from the projects H2020 EU RAWFIE (no. 645220) and the H2020 EU GNFUV (no. 645220/78300).  ... 
doi:10.1109/wimob.2018.8589172 dblp:conf/wimob/PanagidiGAH18 fatcat:slffgybs3nawle5fyhpt76oc4q

Flow Models for Project Scheduling with Transfer Delays

Alain Quilliot, Hélène Toussaint
2012 Conference on Computer Science and Information Systems  
Network Flow Theory: [32] , [33] , is devoted to the handling of problems which involve the circulation of goods, people, energy, information....  ...  III.  ... 
dblp:conf/fedcsis/QuilliotT12 fatcat:wzk6qqyd7rhzlnjehr7ellbh6u

Non-Markovianity through flow of information between a system and an environment

S. Haseli, G. Karpat, S. Salimi, A. S. Khorashad, F. F. Fanchini, B. Çakmak, G. H. Aguilar, S. P. Walborn, P. H. Souto Ribeiro
2014 Physical Review A. Atomic, Molecular, and Optical Physics  
We compare different ways of studying the information flow in two theoretical examples.  ...  Moreover, we reveal a clear conceptual relation between the entanglement and mutual information based measures of non-Markovianity in terms of the quantum loss and accessible information.  ...  ACKNOWLEDGMENTS Financial support was provided by Brazilian agencies CNPq, CAPES, FAPERJ, FAPESP, and the National Institute for Science and Technology of Quantum Information (INCT-IQ).  ... 
doi:10.1103/physreva.90.052118 fatcat:vltlbnfwtrdzhcwkwcvf67tx4m
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