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Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
Specifically, we introduce a concept for sparse joint activity, channel and data detection in the context of the Coded ALOHA (FDMA) protocol.  ...  network is expected to support up to 1000x more connections per cell with reduced latency below 1 ms.  ...  The approach is further applied to vibration data gathered from a real GA-Lynx system and shown to produce a corresponding peak enhancement and clutter suppression.  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

Ping-pong beam training for reciprocal channels with delay spread

Elisabeth de Carvalho, Jorgen Bach Andersen
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
The proposed detection scheme does not assume prior knowledge on image statistics and draws all inferences from the data measurements. .  ...  Specifically, we introduce a concept for sparse joint activity, channel and data detection in the context of the Coded ALOHA (FDMA) protocol.  ...  The approach is further applied to vibration data gathered from a real GA-Lynx system and shown to produce a corresponding peak enhancement and clutter suppression.  ... 
doi:10.1109/acssc.2015.7421451 dblp:conf/acssc/CarvalhoA15 fatcat:mqokuvnh3zg45licnfbgxyvxfu

A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow

Alfredo Garcia, Stephen D. Patek, Kaushik Sinha
2007 Operations Research  
In this approach, each component of the solution vector of the optimization model is artificially assumed to have a corresponding "player", and the interaction of these players in simulation allows for  ...  In addition, in the context of discrete network flow models, we prove that if the underlying link cost functions are convex, then our algorithms converge almost surely to an optimal solution.  ...  Acknowledgments The authors are grateful to Prof. M. Fu, an anonymous associate editor, the anonymous referees and Prof. J. Shamma for their constructive comments.  ... 
doi:10.1287/opre.1060.0379 fatcat:fgldb45lifcfznan7z2foth4rq

Recent advances on artificial intelligence and learning techniques in cognitive radio networks

Nadine Abbas, Youssef Nasser, Karim El Ahmad
2015 EURASIP Journal on Wireless Communications and Networking  
Cognitive radios are expected to play a major role towards meeting the exploding traffic demand over wireless systems.  ...  A cognitive radio node senses the environment, analyzes the outdoor parameters, and then makes decisions for dynamic time-frequency-space resource allocation and management to improve the utilization of  ...  First, the master SU assesses traffic intensity of the SU queue and of the bandwidth allocation queue to determine the allowed access latency for SUs.  ... 
doi:10.1186/s13638-015-0381-7 fatcat:dq6aba75obc5vlxnbaqrerlsii

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
Data from the multi-modal sensors is collected at a fusion center, and used to track multiple objects in the sensors' field of view.  ...  In a typical sparse recovery problem, a sparse signal needs to be recovered from an underdetermined system of equations.  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Exploiting the Power of Multiplicity: A Holistic Survey of Network-Layer Multipath

Junaid Qadir, Anwaar Ali, Kok-Lim Alvin Yau, Arjuna Sathiaseelan, Jon Crowcroft
2015 IEEE Communications Surveys and Tutorials  
We will present a detailed investigation of two important design issues, namely the control plane problem of how to compute and select the routes, and the data plane problem of how to split the flow on  ...  multi-channel, and multi-antenna trends in wireless; ubiquity of mobile devices that are multi-homed with heterogeneous access networks; and the development and standardization of multipath transport protocols  ...  The authors would also like to thank Gareth Tyson and the anonymous reviewers for their useful feedback.  ... 
doi:10.1109/comst.2015.2453941 fatcat:pvatolih4ngwrooewos2rgeaoe

Computational Air Traffic Management

Marc Anthony Azzopardi, James F. Whidborne
2011 2011 IEEE/AIAA 30th Digital Avionics Systems Conference  
being compounded by the inability of air traffic controllers to optimise ATM operation in real-time.  ...  In this work, the traditionally incremental approach to ATM research was broken to favour a more exploratory mindset.  ...  A net-centric approach is better indicated, given the way data needs to flow in the proposed CATM system.  ... 
doi:10.1109/dasc.2011.6095967 fatcat:5kfu6ba5h5g7pdffh7z3ftdjai

Optimal data scheduling of mobile clients serviced using beamforming antennas

Daniel T. Bennett, Timothy X Brown
2012 MILCOM 2012 - 2012 IEEE Military Communications Conference  
First and foremost I would like to thank Professor Tim Brown.  ...  I would also like to thank Professors Ken Baker, Harvey Gates, Dirk Grunwald, Eugene Liu and François Meyer for not only taking the time to serve on my committee but also for the instruction, guidance,  ...  Acknowledgements We proceed to show how we fully implemented a prototype version of it in Chapter 7 -Prototype Implementation. Chapter 7 Prototype Implementation 7.1  ... 
doi:10.1109/milcom.2012.6415855 dblp:conf/milcom/BennettB12 fatcat:yy62tleh4bcapjdkdbx7k5uvu4

Bayesian binary quantile regression for the analysis of Bachelor-to-Master transition

Cristina Mollica, Lea Petrella
2016 Journal of Applied Statistics  
The working group (WG) CMStatistics comprises a number of specialized teams in various research areas of computational and methodological statistics.  ...  The teams act autonomously within the framework of the WG in order to promote their own research agenda. Their activities are endorsed by the WG.  ...  The approach will be evaluated in several realistic settings using synthetic data and will be applied to real data arising from a multi-center clinical trial comparing two treatments for MDD in which subjects  ... 
doi:10.1080/02664763.2016.1263835 fatcat:l5eyielgxrct7hq5ljqeej5ccy

Intelligent Flow Control under a Game Theoretic Framework [chapter]

Huimin Chen, Yanda Li
2001 Telecommunications Optimization: Heuristic and Adaptive Techniques  
National Science Foundation grant INT-9731207 and additional support from the Scientific and Technical Research Council of Turkey (Tubitak) for their collaboration.  ...  Mr Joachim Wegener of Daimler-Benz in Berlin has been an invaluable source of advice and has helped to make the projects  ...  In fact, when the cost function is simplified to a single line type (having a discrete capacity and cost), the set of multi-commodity flows satisfying the requirements matrix R forms a convex polyhedron  ... 
doi:10.1002/047084163x.ch17 fatcat:k63jsso4ingcjnkzrp2sljylb4

Table of contents

2009 2009 17th Mediterranean Conference on Control and Automation  
The neural network training and validation data are obtained from the open-loop simulation of a validated first principles plant model.  ...  Finally two simulation examples are presented to show the effectiveness and the performances of the proposed approach. 11:00-11:20 WeA2.5 Adaptive Fuzzy Controller for Loop Control in a Distributed Control  ...  In this paper, we propose an extension of Network Calculus in form of Rate-Variable-Latency (RVL) service curve which is capable of modeling of step changes of latency during data congestion caused by  ... 
doi:10.1109/med.2009.5164498 fatcat:bi37lbkbhfaihj7lbc64vvplo4

Multiagent systems: algorithmic, game-theoretic, and logical foundations

2009 ChoiceReviews  
games 56 3.2.4 Strategies in normal-form games 59 3.3 Analyzing games: from optimality to equilibrium 60 3.3.1 Pareto optimality 61 3.3.2 Defining best response and Nash equilibrium 62 3.3.3 Finding Nash  ...  This will allow us to gauge the level of interest in the book and to update the PDF to keep it consistent with reprintings of the book. i To my wife Noa and my daughters Maia, Talia and Ella -YS To Jude  ...  To begin, we should distinguish two types of belief. Both of them are distinguished from knowledge in that they are defeasible; the agent may believe somedefeasible thing false.  ... 
doi:10.5860/choice.46-5662 fatcat:pr2pmv7k2bad3pp5bxgogecgnq

Proceedings of the 7th International Conference on Mathematical Sciences and Optimization, 2020, Nigeria [article]

Johnson Olaleru, Hallowed Olaoluwa
2020 figshare.com  
The 40 papers range over Operator Equations, Applied Statistics, Optimization, modelling and Data Sciences.  ...  This is a Book of Proceedings of the 7th Virtual International Conference on Mathematical Sciences and Optimization, 2020.  ...  From this work, we conclude with proofs that the HBT and VCT actually Fails to hold in Constructive mathematics with the aid of Russian constructivism (RUSS).  ... 
doi:10.6084/m9.figshare.13317353.v1 fatcat:nham6oxglzg4hieotb7o2augci

Deep Learning in Science [article]

Stefano Bianchini, Moritz Müller, Pierre Pelletier
2020 arXiv   pre-print
We find i) an exponential growth in the adoption of DL as a research tool across all sciences and all over the world, ii) regional differentiation in DL application domains, and iii) a transition from  ...  Through a Natural Language Processing (NLP) approach on the arXiv.org publication corpus, we delineate the emerging DL technology and identify a list of relevant search terms.  ...  In other words, machine learning methods construct hypotheses directly from the data through inductive inference.  ... 
arXiv:2009.01575v2 fatcat:4ttqgjdjfjbydp7flnhcgg5p7m

Modern Koopman Theory for Dynamical Systems [article]

Steven L. Brunton, Marko Budišić, Eurika Kaiser, J. Nathan Kutz
2021 arXiv   pre-print
First-principles derivations and asymptotic reductions are giving way to data-driven approaches that formulate models in operator theoretic or probabilistic frameworks.  ...  The field of dynamical systems is being transformed by the mathematical tools and algorithms emerging from modern computing and data science.  ...  We would like to thank Igor Mezić for early discussions and encouragement about this review.  ... 
arXiv:2102.12086v2 fatcat:2oylyx25dbctvkjfnirfcgjuqu
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