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Hybrid clutter canceler with feedback guided predicative filtering on a heterogeneous parallel processing system

Hybrid clutter canceler with feedback guided predicative fil...

引用

International Waveform Diversity and Design Conference, WDD 2012

作者： Brinkhus, Jeffrey M. Jezak, Joseph A. Berdanier, Charles Levitan, Steven P. Chiarulli, Donald M. Electical and Computer Engineering University of Pittsburgh United States Computer Engineering Graduate Program University of Pittsburgh United States Electrical Engineering Wright State University United States Computer Science Department University of Pittsburgh United States

ISBN: (纸本)9781509005987

In this paper we describe a novel clutter cancellation platform based on a two stage approach that combines a feedback guided predictive front-end hybrid clutter canceller with high performance back-end filtering and target detection. The front-end architecture is based on an FPGA implementation of a Kalman filter that predicts target locations in real time and removes the target signals from the incoming data prior to hybrid cancellation. The back-end is user configurable and exploits high performance GPU and multi-core parallel hardware to simultaneously compute multiple clutter suppression and target detection algorithms coupled to an intelligent selection strategy for selecting the most accurate result. These target locations are fed back to the FPGA Kalman filter periodically to update the target predictions. © 2012 IEEE.

关键词： Kalman filters

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Smart environmental architecture for node localization in a wireless sensor network

Smart environmental architecture for node localization in a ...

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8th International Conference on Intelligent Environments, IE 2012

作者： Jauregui-Ortiz, Salvador Siller, Mario Ramos, Felix Scalabrin, Edson Electrical Engineering and Computer Science Department Center of Research and Advanced Studies Guadalajara Jalisco Mexico Graduate Program in Computer Science Pontifical Catholic University Parana Brazil Curitiba Parana Brazil

ISBN: (纸本)9780769547411

As far as we know, there is not a Node Localization Algorithm (NLA) that presents the same accuracy for all possible scenarios. We believe that a NLA should be able to interpret the dynamic information of the environment. In this sense, simple NLAs are rather focused and might perform well for specific scenarios and applications. Therefore, information fusion and context awareness seems to be an appropriate approach to address this issue. We propose the Smart Environmental Architecture for Node Localization (SEA-NL), which is composed by two main elements: (i) the Smart Beacon Nodes (SBNs) and (ii) the Logical Position of Nodes (LPN). In (i) the obstruction level indicator is estimated and can improve the estimation of distances among nodes. In (ii) environment information and a one to one relation between a node and an object are used and can also improve location estimation. Via simulation, our architecture was tested indoors and outdoors considering three localization algorithms: the Weighed Centroid Localization (WCL), the Centroid Localization, and the Triangular Centroid Localization. Finally, we present an accuracy comparison among NLAs used in isolated way, and by using the SBNs, the LPN, and the SEA-NL, where our architecture improves WCL up to ~30.88%. © 2012 IEEE.

关键词： Information fusion

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Chromosome Classification for Metaphase Selection

Chromosome Classification for Metaphase Selection

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International Symposium on Communications and Information Technologies

作者： Ravi Uttamatanin Peerapol Yuvapoositanon Apichart Intarapanich Saowaluck Kaewkamnerd Sissades Tongsima The Electrical Engineering Graduate Program Faculty of Engineering Mahanakorn University of Technology Bangkok Thailand Electronic Engineering Department Mahanakorn University of Technology Bangkok Thailand National Electronics and Computer Technology Center Pathumtani Thailand National Center for Genetic Engineering and Biotechnology Pathumtani Thailand

ISBN: (纸本)9781467355797

Identification of good metaphase spread is an important step in chromosome analysis for genetic disorder detection. In this paper, we propose a rule for chromosome classification to identify good metaphase spreads. The chromosome shapes were classified into four main classes. The first and the second classes refer to individual chromosomes with straight and bended shapes, respectively. The third class is characterized as those chromosomes with overlapping bodies and the forth class is for the non-chromosomal artifacts. Good metaphase spreads should largely contain the first and the second classes while the number of the third class should be kept minimal. Several image parameters were examined and used for creating rule-based classification. The threshold value for each parameter is determined using statistical model. We observed that the empirical probability density function of the parameters can be represented by Gaussian model and, hence, the threshold value can be easily determined. The proposed rules can efficiently and accurately classify the individual chromosome with > 90% accuracy.

关键词： Chromosome Metaphase selection Metaphase spread Rule base classification Gaussian model

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Forces of Orthodontic Closed Coil Springs Measured using Fiber Bragg Gratings

Forces of Orthodontic Closed Coil Springs Measured using Fib...

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Latin America Optics and Photonics Conference, LAOP 2012

作者： Milczewski, Maura Scandelari Dinisio, Felipe Gonçalves Martelli, Cicero Borges, Paulo César Kalinowski, Hypolito José da Cunha, José Carlos Munhoz Federal University of Technology - Paraná Curitiba80230-901 Brazil Graduate Program on Electrical Engineering and Applied Computer Science Canada Department of Mechanical Engineering Brazilian Dentistry Association Paraná Brazil

The aim of this study is to compare forces generated by three different orthodontic closed coil springs supplied by three companies, optical fiber Bragg gratins are used to evaluate the force of closing of springs. &#... 详细信息

ISBN: (纸本)9781557529589

关键词： Fiber Bragg gratings

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Accelerated DSP functions on the CBE for the X-Midas Toolkit

Accelerated DSP functions on the CBE for the X-Midas Toolkit

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International Waveform Diversity and Design Conference, WDD 2012

作者： Jezak, Joseph A. Berdanier, Charles Levitan, Steven P. Chiarulli, Donald M. Computer Engineering Graduate Program University of Pittsburgh United States USAF AFRL/RYMDA Wright Patterson Air Force Base United States Department of Electrical and Computer Engineering University of Pittsburgh United States Department of Computer Science University of Pittsburgh United States

ISBN: (纸本)9781509005987

We characterize the impact of the Cell Broadband Engine architecture, on commonly used radar DSP algorithms. We use the capabilities of the CBE to accelerate several key computational kernels including Matrix Multiplication, Matrix Inversion, and the Finite Impulse Response (FIR) filter. These algorithms are implemented and benchmarked as library routines within the X-Midas Toolkit. We observe speedups as large as 1200x for complex matrix multiplication, but speedups of 40x to 60x are more typical. We find that system I/O overhead within the X-Midas toolkit severely limited the performance of the applications. © 2012 IEEE.

关键词： FIR filters

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Smart antenna using a combination of D3LS and NCLS algorithms

Smart antenna using a combination of D3LS and NCLS algorithm...

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2012 9th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2012

作者： Nilsuwan, Phichet Boonpoonga, Akkarat Tagapanij, Jukkrit Sirisuk, Phaophak Electrical Engineering Graduate Program Faculty of Engineering Mahanakorn University of Technology Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Telecommunication Engineering Mahanakorn University of Technology Bangkok Thailand International College King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781467320245

This paper presents a smart antenna system using a combination of nonconventional least square (NCLS) optimization and direct data domain least square (D3LS) for direction-of-arrival (DOA) estimation and beamforming, respectively. In the proposed system, NCLS optimization is utilized to estimate DOA of incoming signal first. The estimated DOA is then assisted for initial processing of D3LS in beamforming. The performance in term of estimated signal amplitude and estimated DOA of the proposed system is evaluated via simulations. © 2012 IEEE.

关键词： Direction of arrival

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Finding optimal random boolean networks for reservoir computing

Finding optimal random boolean networks for reservoir comput...

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13th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life 13, ALIFE 2012

作者： Snyder, David Goudarzi, Alireza Teuscher, Christof Department of Computer Science Portland State University Portland OR 97201 United States Systems Science Graduate Program Portland State University Portland OR 97201 United States Department of Electrical and Computer Engineering Portland State University Portland OR 97201 United States

ISBN: (纸本)9780262310505

Reservoir Computing (RC) is a computational model in which a trained readout layer interprets the dynamics of a component called a reservoir that is excited by external input stimuli. The reservoir is often constructed using homogeneous neural networks in which a neuron's in-degree distributions as well as its functions are uniform. RC lends itself to computing with physical and biological systems. However, most such systems are not homogeneous. In this paper, we use Random Boolean Networks (RBN) to build the reservoir. We explore the computational capabilities of such a RC device using the temporal parity task and the temporal density classification. We study the sufficient dynamics of RBNs using kernel quality and generalization rank measures. We verify findings by Lizier et al. (2008) that the critical connectivity of RBNs optimizes the balance between the high memory capacity of RBNs with (K) 2. We show that in a RBN-based RC system, the optimal connectivity for the parity task, a processing intensive task, and the density classification task, a memory intensive task, agree with Lizier et al.'s theoretical results. Our findings may contribute to the development of optimal selfassembled nanoelectronic computer architectures and biologically-inspired computing paradigms. © 2012 Massachusetts Institute of Technology.

关键词： computer architecture

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Configurable clutter models for radar simulation

Configurable clutter models for radar simulation

引用

International Waveform Diversity and Design Conference

作者： Joseph A. Jezak Guy Gadola Charles Berdanier Steven P. Levitan Donald M. Chiarulli Computer Engineering Graduate Program University of Pittsburgh Department of Electrical Engineering Wright State University Department of Electrical and Computer Engineering University of Pittsburgh Department of Computer Science University of Pittsburgh

In this paper we describe an extension to the MATLAB Phased Array Toolkit that adds a configurable clutter object to model clutter signals returned along a specified signal path. The clutter model is based on the Simkins Unified Clutter Model[1]. The current implementation supports sea clutter in any of five sea states with configurable polarization, grazing angle, and beam width. We describe the implementation and give examples of modeled clutter returns.

关键词： Clutter Object oriented modeling Mathematical model Reflectivity Radar Computational modeling Arrays

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Performance evaluation of D3LS and NCLS smart antenna in mobile communications

Performance evaluation of D3LS and NCLS smart antenna in mob...

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2012 17th International Symposium on Antennas and Propagation, ISAP 2012

作者： Boonpoonga, Akkarat Nilsuwan, Phichet Tagapanij, Jukkrit Sirisuk, Phaophak Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Electrical Engineering Graduate Program Faculty of Engineering Mahanakorn University of Technology Bangkok Thailand Department of Telecommunication Engineering Mahanakorn University of Technology Bangkok Thailand International College King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9784885522703

A smart antenna was proposed to improve wireless communication systems. The smart antenna may comprises direction-of-arrival (DOA) estimation and/or adaptive antenna. The DOA estimation technique is used to estimate direction of transmitted signals. An adaptive antenna has ability of suppressing undesired signals namely interference or jammers in specific directions while receive only the desired one. There are a number of methods proposed to conduct in such way, including multiple signal classification (MUSIC), least mean squares (LMS), sample matrix inversion (SMI), recursive least squares (RLS), and their derivative forms as seen in the literatures in [1]. These methods require a training sequence or known information for adaptation and/or DOA estimation. Although a constant modulus algorithm (CMA) was proposed without the need of training sequence, it has a slow convergence. © 2012 IEICE.

关键词： Multiple signal classification

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Evolving granular neural network for fuzzy time series forecasting

Evolving granular neural network for fuzzy time series forec...

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International Joint Conference on Neural Networks (IJCNN)

作者： Daniel Leite Pyramo Costa Fernando Gomide Department of Computer Engineering and Automation School of Electrical and Computer Engineering University of Campinas Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

A primary requirement of a broad class of evolving intelligent systems is to process a sequence of numeric data over time. This paper introduces a granular neural network framework for evolving fuzzy system modeling from fuzzy data streams. The evolving granular neural network (eGNN) efficiently handles concept changes, distinctive events of nonstationary environments. eGNN constructs interpretable multi-sized local models using fuzzy neural information fusion. An incremental learning algorithm builds the neural network topology from the information contained in data streams. Here we emphasize fuzzy intervals and objects with trapezoidal membership functions. Triangular fuzzy numbers, intervals, and numeric data are particular instances of trapezoids. An example concerning weather time series forecasting illustrates the neural network performance. The goal is to extract, from monthly temperature data, information of interest to attain accurate one-step forecasts and better rapport with reality. Simulation results suggest that eGNN learns from fuzzy data successfully and is competitive with state-of-the-art approaches.

关键词： Neurons Fuzzy sets Approximation methods Data models Neural networks Pragmatics Time series analysis

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