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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Casasnovas, Jaume Riera, J. Vicente Department of Mathematics and Computer Sciences University of the Balearic Islands Cra. de Valldemossa KM. 7.5 07122 Palma de Mallorca Spain

this paper is devoted to build S-implications on the bounded lattice A 1L of discrete fuzzy numbers whose support is a subset of consecutive natural numbers of the finite chain L = {0, 1, ,m}. Moreover, we propose a m... 详细信息

ISBN: (纸本)9781424469208

关键词： Artificial intelligence

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Partial Data Replication as a Strategy for Parallel Computing of the Multilevel discrete Wavelet Transform

Partial Data Replication as a Strategy for Parallel Computin...

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8th international conference on Parallel Processing and applied mathematics

作者： Acevedo, Liesner Garcia, Victor M. Vidal, Antonio M. Alonso, Pedro Univ Politecn Valencia Dept Sistemas Informat & Computac Valencia 46022 Spain

ISBN: (纸本)9783642143892

In this paper we propose a strategy of partial data replication for efficient parallel computing of the discrete Wavelet Transform in a distributed memory environment. the key is to avoid the communications needed between computation of different wavelet levels, by replicating part of the data and part;of the computations, avoiding completely communications (except maybe at the setup phase). A similar idea. was proposed in a paper by Chaver et. al.;however, they proposed to replicate completely the data, which can require too much memory in each processor. In this work we have determined exactly how many data items shall be needed for each processor, in order to compute the DWT without extra communications and using only the memory strictly necessary.

关键词： discrete wavelet transforms

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Situation-aware GeoVisualization considering applied Logic and Extensibility: A new architecture & mechanism for intelligent GeoWeb

Situation-aware GeoVisualization considering Applied Logic a...

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6th international Symposium on Digital Earth - Models, algorithms, and Virtual Reality

作者： He, Xuelin Gold, Christopher UCL Dept Civil Environm & Geomat Engn Mortimer St London WC1E 6BT England Univ Glamorgan Sch Comp Pontypridd CF37 1DL M Glam Wales

ISBN: (纸本)9780819483638

Recent years have witnessed the emerging Virtual Globe technology which has been increasingly exhibiting powerful features and capabilities. However, the current technical architecture for geovisualization is still the traditional data-viewer mode, i.e. KML-Geobrowser. Current KML is basically an encoding format for wrapping static snapshots of information frozen at discrete time points, and a geobrowser is virtually a data renderer for geovisualization. In the real world spatial-temporal objects and elements possess specific semantics, applied logic and operational rules, naturally or socially, which need to be considered and to be executed when corresponding data is integrated or visualized in a visual geocontext. However, currently there is no a way to express and execute this kind of applied logic and control rules within the current geobrowsing architecture. this paper proposes a novel architecture by originating a new mechanism, DKML, and implementing a DKML-supporting prototype geobrowser. Embedded programming script within KML files can express applied logic, control conditions, situation-aware analysis utilities and special functionality, to achieve intelligent, controllable and applied logic-conformant geovisualization, and to flexibly extend and customize the DKML-supporting geobrowser. Benefiting from the mechanism developed in this research, geobrowsers can truly evolve into powerful multi-purpose GeoWeb platforms with promising potential and prospects.

关键词： DKML DKML-supporting Geobrowser Situation-aware GeoVisualization applied logic intelligent GeoWeb

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A new variable tap-length LMS algorithm and application in fixed satellite communications

A new variable tap-length LMS algorithm and application in f...

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international conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Hui, Chen Yanguang, Han Haibin, Li Xinping, Guan Xidian University Xian China 54th Research Institute China Electronics Technology Group Corporation Shijiazhuang China Key Lab. of Industrial Computer Control Engineering Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9781424437092

A new variable tap-length LMS algorithm is proposed in this paper. this algorithm can effectively obtain both fast convergence rate and small steady state error by non-linear weighting L errors of the current moment and past moments. the algorithm analysis is also given which the ideal tap-length is obtained by increasing the error information and eliminating the effect of correlated noise sequences. then the new algorithm is applied to the fixed satellite communications system in which the channel is affected by weather conditions attenuation and multipath effect. Simulation results are presented to support the analysis. the new algorithm converges faster than usual algorithms under same steady state performance. the signal BER performance is greatly improved with the new adaptive filter algorithm equalizer when the signal passes simulation model of fixed satellite communications system. © 2010 IEEE.

关键词： Satellites

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Prediction of Mechanical Properties of Ti-6Al-4V using Neural Network

Prediction of Mechanical Properties of Ti-6Al-4V using Neura...

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6th international conference on Processing and Manufacturing of Advanced Materials (thERMEC)/2nd Symposium Session on Multiscale Mechanical Modelling of Complex Materials and Engineering Applications

作者： Pratama, Detak Yan Junaidi, Syarif Ramli, R. Univ Kebangsaan Malaysia Dept Mech & Mat Eng Bangi Malaysia

ISBN: (纸本)9780878492930

Objective of this study is to develop simulation for predicting mechanical properties of Ti-6Al-4V alloy. Rockwell Hardness (HRC), Ultimate tensile strength (UTS) and elongation (epsilon) are predicted by using Neural Network (NN) with multilayer feedforward architecture. the input of simulations are chemical compositions of Ti-alloy at room temperature. the data of the mechanical properties which are reported by other researchers are used for the NN training and Gradient Descent (GD) and Lavenberg Marquardt (LM) are applied as methods of learning algorithms. the results of training by both methods are compared in order to obtain high performance of output criteria which are determined by a Normalized Root Mean Square Error (NRMSE). is used to determine the performance of output criteria. In training, the NRMSE output calculated by GD algorithm show that HRC, UTS and epsilon are 0.024, 0.0717 and 0.1375 respectively, while LM algorithm for HRC, UTS and epsilon are 0.0207, 0.0689 and 0.1150, respectively. the NRMSE predicted output of GD algorithm for HRC, UTS, and epsilon are 0.0658, 0.0338 and 0.2994, while LM algorithm for HRC, UTS and epsilon are 0.0371, 0.1192 and 0.5487 respectively. In training, values of NRMSE calculated by LM algorithm is smaller than GD algorithm. these results suggest that LM algorithm shows excellent ability for training, however the GD method is more appropriate for the training algorithm in order to obtain a high performance of output criteria. It can be concluded that the NN can be applied for predicting mechanical properties of Ti-6Al-4V alloys.

关键词： Ti-6Al-4V Mechanical Properties Neural Network Prediction Learning Algortihm

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Probing the discrete motion of vortices with rf excitations

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PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS 2010年第19期470卷 857-859页

作者： Van de Vondel, J. Silhanek, A. V. Moshchalkov, V. V. Ilic, B. Fields, J. Metlushko, V. Katholieke Univ Leuven INPAC Inst Nanoscale Phys & Chem B-3001 Leuven Belgium Cornell Univ Sch Appl & Engn Phys Cornell Nanofabricat Facil Ithaca NY 14853 USA Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA

In this work we present experimental results on the rectification of vortices in a superconductor/ferromagnet system under a high frequency drive. the two-dimensional pinning landscape, induced by the stray fields of the ferromagnetic template, has no intrinsic asymmetry. Nevertheless, an asymmetric potential is artificially induced by an applied dc bias. the experimental results unambiguously show a biased, discrete motion of the vortices in the periodic potential at frequencies above 10 MHz. this synchronized motion is very sensitive to the external applied field. Increasing temperature leads to a reduction of the pinning potential, which in turn results in a lower ac power needed to drive the vortex lattice. (C) 2010 Elsevier B.V. All rights reserved.

关键词： S/F hybrids Vortex dynamics Vortex pinning

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Probing the discrete motion of vortices with rf excitations

Probing the discrete motion of vortices with rf excitations

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6th international conference on Vortex Matter in Nanostructured Superconductors

关键词： S/F hybrids Vortex dynamics Vortex pinning

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Processor-efficient FFT implementation scheme for active noise control applications

Processor-efficient FFT implementation scheme for active noi...

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international conference on Signal Image Technology and Internet Based Systems

作者： Kumar, P.Vikram Prabhu, K.M.M. Das, Debi Prasad Dept. of Electrical Engineering Indian Institute of Technology Madras Chennai-600036 India Bhubaneswar-751013 India

ISBN: (纸本)9780769543192

Most of the frequency-domain (FD)-based active noise control (ANC) applications involve the computation of several discrete Fourier transforms (DFTs). Conventionally, an N-point DFT of a sequentially arriving data is computed only after the arrival of the N th sample. For applications involving ANC, such an approach will overload the processor. In this paper, an alternative method to compute the DFT is proposed, which distributes the computations over a span of several sampling instants. As an example to prove the efficiency of the proposed algorithm, it is applied to the reduced delay-less frequency-domain block filtered-x least-mean-square (RDFBFXLMS) algorithm, wherein about 24% (for a block length of 1024 samples) of the multiplications and about 29% of additions (which were supposed to have been done at the last sampling instant of each block) are shifted to earlier sampling instants during which the processor is idle. the percentage of computational redistribution will be higher for multichannel non-linear systems. © 2010 IEEE.

关键词： discrete Fourier transforms

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the relationship between search based software engineering and predictive modeling 10

The relationship between search based software engineering a...

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Proceedings of the 6th international conference on Predictive Models in Software Engineering

作者： Harman, Mark Department of Computer Science CREST Centre University College London Malet Place London WC1E 6BT United Kingdom

ISBN: (纸本)9781450304047

Search Based Software Engineering (SBSE) is an approach to software engineering in which search based optimization algorithms are used to identify optimal or near optimal solutions and to yield insight. SBSE techniques can cater for multiple, possibly competing objectives and/or constraints and applications where the potential solution space is large and complex. this paper will provide a brief overview of SBSE, explaining some of the ways in which it has already been applied to construction of predictive models. there is a mutually beneficial relationship between predictive models and SBSE. the paper sets out eleven open problem areas for Search Based Predictive Modeling and describes how predictive models also have role to play in improving SBSE.

关键词： Software engineering

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discrete time recurrent neural network sliding mode observer

Discrete time recurrent neural network sliding mode observer

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 international Joint conference on Neural Networks, IJCNN 2010

作者： Salgado, I. Chairez, I. García, A. Bioprocess Department Professional Interdisciplinary Unit of Biotechnology National Polytechnic Institute México D.F. Mexico Automatic Control Department CINVESTAV National Polytechnic Institute México D.F. Mexico

ISBN: (纸本)9781424469178

State estimation for uncertain systems affected by external noises is an important problem in control theory. this paper deals with the state observation problem when the dynamic model of a discrete plant contains uncertainties or is partially unknown. the suggested observer is oriented to solve the state observation problem of discrete time nonlinear systems. Most of the existing results using the neural networks approach have been developed for continuous time systems using. the recurrent neural network (RNN) have shown several advantages to treat many different control and state estimation problems. In this paper, it is presented a new discrete-time observer using the structure of a classical RNN. this observer includes a correction term using the output information and the first order sliding modes. the second method Lyapunov is applied to generate a new learning law, that contains an adaptive adjustment rate. this study proofs the stability condition for the free parameters included in the neural-observer. A numerical example is given using the RNN in the estimation of a mathematical model describing the HIV infection, that includes non-infected cells, infected cells and free virions. this model was used to generated the data using to test the observer. © 2010 IEEE.

关键词： State estimation

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