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NFP brokering for VNF chaining models

NFP brokering for VNF chaining models

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international conference on Advanced Communication technology (ICACT)

作者： TaeYeon Kim BhumCheol Lee Department of Smart Networking Network & Computing Convergence Research Lab

ISBN: (纸本)9781509048922

NFP brokering framework is suggested to secure interoperability between heterogeneous chaining methods known so far and to address branching issues to reflect behaviour of VNFs to NFP forwarding rules at run time. Also, Functional architecture and interface between functional blocks of the framework are proposed based on NFP management information provided by the NFP control and orchestration.

关键词： Ports (Computers) Data mining Network function virtualization Interoperability convergence Computational modeling Computer architecture

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8th international conference on Information Science and Applications, ICISA 2017

8th International Conference on Information Science and Appl...

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8th international conference on Information Science and Applications, ICISA 2017

ISBN: (纸本)9789811041532

The proceedings contain 96 papers. The special focus in this conference is on Ubiquitous computing, Information Systems, Multimedia, Visualization, Privacy, Artificial Intelligence, Web technology and 7th international Workshop on ICT convergence. The topics include: Improving performance and energy efficiency for OFDMA systems using adaptive antennas and CoMP;a study on OPNET state machine model based IoT network layer test;indoor positioning solely based on user’s sight;a highly robust and secure digital image encryption technique;saliency based object detection and enhancements in static images;design of OpenGL SC 2.0 rendering pipeline;saliency detection via foreground and background seeds;information visualization for mobile-based disability test applications;an augmented reality learning system for programming concepts;MBR image automation analysis techniques utilizing emulab;timing side channel attack on key derivation functions;known bid attack on an electronic sealed-bid auction scheme;secret sharing deniable encryption technique;improved 3D mesh steganalysis using homogeneous kernel map;enhanced database security using homomorphic encryption;design and evaluation of chaotic iterations based keyed hash function;a case-based approach to colorectal cancer detection;deep learning based recommendation;a network-based approach on big data for the comorbidities of urticaria;calculate deep convolution neural network on cell unit;smart learner-centric learning systems;static testing using different types of CRUD matrices and piezoelectric voltage monitoring system using smartphone.

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Mutation, sexual reproduction and survival in dynamic environments 8

Mutation, sexual reproduction and survival in dynamic enviro...

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8th Innovations in Theoretical Computer Science conference, ITCS 2017

作者： Mehta, Ruta Panageas, Ioannis Piliouras, Georgios Tetali, Prasad Vazirani, Vijay V. University of Illinois Urbana-Champaign United States MIT Cambridge United States Singapore University of Technology and Design Singapore Georgia Institute of Technology Atlanta United States

ISBN: (纸本)9783959770293

A new approach to understanding evolution [34], namely viewing it through the lens of computation, has already started yielding new insights, e.g., natural selection under sexual reproduction can be interpreted as the Multiplicative Weight Update (MWU) Algorithm in coordination games played among genes [8]. Using this machinery, we study the role of mutation in changing environments in the presence of sexual reproduction. Following [35], we model changing environments via a Markov chain, with the states representing environments, each with its own fitness matrix. In this setting, we show that in the absence of mutation, the population goes extinct, but in the presence of mutation, the population survives with positive probability. On the way to proving the above theorem, we need to establish some facts about dynamics in games. We provide the first, to our knowledge, polynomial convergence bound for noisy MWU in a coordination game. Finally, we also show that in static environments, sexual evolution with mutation converges, for any level of mutation.

关键词： Machinery

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Numerical solution of boundary value problems using artificial neural networks and harmony search 3rd

Numerical solution of boundary value problems using artifici...

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Proceedings of the 3rd international conference on Harmony Search Algorithm, ICHSA 2017

作者： Yadav, Neha Ngo, Thi Thuy Yadav, Anupam Kim, Joong Hoon Department of Civil Environmental and Architectural Engineering Korea University Seoul02841 Korea Republic of National Institute of Technology Uttarakhand Garhwal Srinagar India

ISBN: (纸本)9789811037276

In this paper, we present an algorithm based on artificial neural networks (ANNs) and harmony search (HS) for the numerical solution of boundary value problems (BVPs), which evolves in most of the science and engineering applications. An approximate trial solution of the BVPs is constructed in terms of ANN in a way that it satisfies the desired boundary conditions of the differential equation (DE) a utomatically. Approximate satisfaction of the trial solution results in an unsupervised error, which is minimized by training ANN using the harmony search algorithm (HSA). A BVP modeling the flow of a stretching surface is considered here as a test problem to validate the accuracy, convergence and effectiveness of the proposed algorithm. The obtained results are compared with the available exact solution also to test the correctness of the algorithm. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Neural networks

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ADMM Based Distributed Volterra Modeling of Nonlinear Dynamical Systems Using Ad-Hoc WSNs

ADMM Based Distributed Volterra Modeling of Nonlinear Dynami...

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international conference on computing, Communication and Networking Technologies

作者： Sachin N. Kapgate Saurav Gupta Priyanka Priyadarshini Sahoo Ajit Kumar Sahoo Department of Electronics and Communication Engineering National Institute of Technology Rourkela India

To model the behavior of nonlinear dynamical systems using wireless sensor networks (WSNs), the development of computation and energy efficient distributed modeling techniques is of crucial importance. In this work, Volterra model is considered for the modeling of nonlinear systems because of its significant modeling capability and generalized nonlinear structure. For real-time estimation of the Volterra model parameters, a simple distributed algorithm is designed for a particular framework of WSNs having predefined bridge sensor nodes. The pertinent cost function is expressed as an unconstrained minimization problem using a decomposable augmented Lagrangian form. To facilitate the distributed convex optimization, the augmented Lagrangian form is minimized using alternating direction method of multipliers. The communication and computational complexities involved in the proposed methodology are provided to show its effectiveness in the real-time applications over centralized and non-cooperative solutions. The convergence analysis is provided to guarantee the mean stability of the proposed algorithm. Simulation results obtained under the noisy environment are plotted to demonstrate the effective performance of the proposed algorithm.

关键词： Distributed signal processing Nonlinear dynamical Systems Volterra model Wireless sensor network Least mean square

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eTheatre: Connecting with the remote audiences 2017

eTheatre: Connecting with the remote audiences

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5th international Symposium of Chinese CHI, Chinese CHI 2017

作者： Wang, Chen Geelgoed, Erik Cesar, Pablo CWI: Centrum Wiskunde and Informatica Amsterdam Netherlands FMCI: Future Media Convergence Institute Peking China Falmouth University United Kingdom Delft University of Technology Falmouth Netherlands

ISBN: (纸本)9781450353083

In September 2014, a local theatre company performed "the Tempest" simultaneously at two different locations to two separate audiences. Both audiences were linked together using an advanced video system, where several cameras captured the play. This is just one example of the radical shift in performing arts, where small theatre companies can use the Internet and a range of digital tools for reaching a wider remote audience. The question remains: what is the influence of this shift on the experience of the audience members? In order to better understand the problem space, we conducted two experiments focusing on two common current scenarios: remote asynchronous and synchronous watching of a theatre play. First, a theatre play was recorded and shown at a later date in a cinema to an audience. Second, a play in one theatre was broadcast to another theatre in real time. This paper reports the results of the experiments and discusses the implications towards the audience when bridging technology and performing arts. According to the results, a shift in time has a deep impact, with the audience rating their watching experience less intensive by 25% to the audience at the live venue. In the second experiment, on the other hand, both audiences reported fairly similar experiences, but different parts of the play had significant different impacts depending on the location where the audience was (in front of the stage or at another theatre). In particular it seems that lacking a way to show appreciation to the play e.g., applause has a big impact on the watching experience. The main conclusion though is that better mechanisms for including remote audiences in the experience are needed. © 2017 Association for computing Machinery.

关键词： Theaters

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Adaptive particle routing in parallel/distributed particle filters 25

Adaptive particle routing in parallel/distributed particle f...

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25th High Performance computing Symposium, HPC 2017, Part of the 2017 Spring Simulation Multi-conference, SpringSim 2017

作者： Zhang, Xudong Huang, Lixin Ferguson-Hull, Evan Gu, Feng Department of Computer Science Graduate Center of The City University of New York 365 5th Avenue New YorkNY10016 United States Department of Electrical Engineering and Computer Science Syracuse University 4-206 Center for Science and Technology SyracuseNY13244 United States Department of Mathematics Bates College 2 Andrews Road LewistonME04240 United States Department of Computer Science College of Staten Island 2800 Victory Boulevard Staten IslandNY10314 United States

ISBN: (纸本)9781510838222

Particle filters estimate the state of dynamic systems through Bayesian interference and stochastic sampling techniques. Parallel/distributed particle filters aim to improve the performance by deploying all particles on different processing units. However, the communication cost of transferring particles is high due to the centralized processing in resampling step. To reduce the communication cost without loss of accuracy, the hybrid particle routing policy is designed for the resampling step, which mainly executes particles resampling and exchanges locally and routes them globally every specific number of calculation steps. However, the global particle routing is more necessary when the convergence of particles is low. In this paper, we propose the adaptive particle routing algorithm, in which the local resampling and particle exchange are used, and the planned global particle routing is adopted only when the measured convergence is below the set threshold. The experimental results show the improved performance. ©2017 Society for Modeling & Simulation international (SCS).

关键词： Bandpass filters

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Study on the Sufficient Certification of Cauchy convergence Criterion

Study on the Sufficient Certification of Cauchy Convergence ...

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2017 5th international conference on Machinery,Materials and computing technology(ICMMCT 2017)

作者： Ming Wan Nanchang Institute of Science ＆Technology

Cauchy criterion is widely used in mathematical analysis, is the basic theory of mathematical analysis. We prove the Cauchy convergence criterion by using the interval proof theorem and the compactness theorem. In most of the research results, the basic theorem of the real number system is proved in a chain-like manner, and finally an argument ring is formed. The proof of the Cauchy criterion is the focus and the difficulty, especially its adequacy. This paper focuses on the Cauchy convergence criterion sufficient proof, the necessity is simple, this paper only gives a proof.

关键词： Cauchy convergence Criterion Application study

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Computational tradeoffs in biological neural networks: Self-stabilizing winner-Take-All networks 8

Computational tradeoffs in biological neural networks: Self-...

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8th Innovations in Theoretical Computer Science conference, ITCS 2017

作者： Lynch, Nancy Musco, Cameron Parter, Merav Massachusetts Institute of Technology Cambridge United States

ISBN: (纸本)9783959770293

We initiate a line of investigation into biological neural networks from an algorithmic perspective. We develop a simplified but biologically plausible model for distributed computation in stochastic spiking neural networks and study tradeoffs between computation time and network complexity in this model. Our aim is to abstract real neural networks in a way that, while not capturing all interesting features, preserves high-level behavior and allows us to make biologically relevant conclusions. In this paper, we focus on the important 'winner-Take-All' (WTA) problem, which is analogous to a neural leader election unit: A network consisting of n input neurons and n corresponding output neurons must converge to a state in which a single output corresponding to a firing input (the 'winner') fires, while all other outputs remain silent. Neural circuits for WTA rely on inhibitory neurons, which suppress the activity of competing outputs and drive the network towards a converged state with a single firing winner. We attempt to understand how the number of inhibitors used affects network convergence time. We show that it is possible to significantly outperform naive WTA constructions through a more refined use of inhibition, solving the problem in O(θ) rounds in expectation with just O(log1/θ n) inhibitors for any θ. An alternative construction gives convergence in O(log1/θ n) rounds with O(θ) inhibitors. We complement these upper bounds with our main technical contribution, a nearly matching lower bound for networks using ≥ log log n inhibitors. Our lower bound uses familiar indistinguishability and locality arguments from distributed computing theory applied to the neural setting. It lets us derive a number of interesting conclusions about the structure of any network solving WTA with good probability, and the use of randomness and inhibition within such a network.

关键词： Neural networks

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On sphering the high resolution satellite image using fixed point based ICA approach

On sphering the high resolution satellite image using fixed ...

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international conference on Computer Vision and Image Processing, CVIP 2016

作者： Singh, Pankaj Pratap Garg, R.D. Department of Computer Science & Engineering Central Institute of Technology Kokrajhar BTAD KokrajharAssam India Geomatics Engineering Group Department of Civil Engineering Indian Institute of Technology Roorkee RoorkeeUttarakhand India

ISBN: (纸本)9789811021060

On sphering the satellite data, classified images are achieved by many authors that had tried to reduce the mixing effect in image classes with the help of different Independent component analysis (ICA) based approaches. In these cases multispectral images are limited with small spectral variation in heterogeneous classes. For better classification, high spectral variance among different classes and low spectral variance within a particular class should exhibit. In the consideration of this issue, a Fixed point (FP) based Independent Component Analysis (ICA) method is utilized to get better classification accuracy in the existing mixed classes that consist similar spectral behavior. This FP-ICA method identifies the objects from mixed classes having similar spectral characteristics, on sphering high resolution satellite images (HRSI). It also helps to reduce the effect of similar spectral behavior between different image classes. The estimation of independent component related to non-gaussian distribution data (image) with optimizing the performance of this approach with the help of nonlinearity, which utilize the low variance between similar spectral classes. It is quite robust, effortless in computation and high convergence rate, even though the spectral distributions of satellite images are rigid to classify. Hence, this FP-ICA approach plays a key role in image classification such as buildings, grassland area, road, and vegetation. © Springer Science+Business Media Singapore 2017.

关键词： Image classification

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