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检索条件"主题词=Algorithm Development"

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On Investigating Social Dynamics in Tactical Opportunistic Mobile Networks

On Investigating Social Dynamics in Tactical Opportunistic M...

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19th Conference on Open Architecture (OA) / Open Business Model (OBM) Net-Centric Systems and Defense Transformation

作者： Gao, Wei Li, Yong Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

ISBN: (纸本)9781628410334

The efficiency of military mobile network operations at the tactical edge is challenging due to the practical Disconnected, Intermittent, and Limited (DIL) environments at the tactical edge which make it hard to maintain persistent end-to-end wireless network connectivity. Opportunistic mobile networks are hence devised to depict such tactical networking scenarios. Social relations among warfighters in tactical opportunistic mobile networks are implicitly represented by their opportunistic contacts via short-range radios, but were inappropriately considered as stationary over time by the conventional wisdom. In this paper, we develop analytical models to probabilistically investigate the temporal dynamics of this social relationship, which is critical to efficient mobile communication in the battlespace. We propose to formulate such dynamics by developing various sociological metrics, including centrality and community, with respect to the opportunistic mobile network contexts. These metrics investigate social dynamics based on the experimentally validated skewness of users' transient contact distributions over time.

关键词： Printed circuit board testing Mobile communications Relays algorithm development Convolution Network architectures Social networks Stochastic processes Systems modeling Wireless communications

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Pre-processing algorithm and airborne campaign result analysis of a rotating fan-beam scatterometer 3

Pre-processing algorithm and airborne campaign result analys...

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Conference on Earth Observing Missions and Sensors - development, Implementation, and Characterization III

作者： Xu, Xing-ou Dong, Xiaolong Zhu, Di Lin, Wenming Chinese Acad Sci Natl Space Sci Ctr CAS Key Lab Microwave Remote Sensing Beijing 100190 Peoples R China Inst Marine Sci ICM CSIC Barcelona 08003 Spain

ISBN: (纸本)9781628413311

A Rotating fan-beam scatterometer (RFSCAT), which provides a set of different incidence and azimuth angle combinations and wide continuous swath coverage, will be flown on the Chinese-French Oceanography Satellite (CFOSAT). In this paper, a pre-processing algorithm is developed to estimate the backscatter coefficient (sigma(0)) of RFSCAT, which includes the procedures of system distortion correction, thermal noise removal, internal signal calibration, and elimination of the observing geometry effects. The algorithm is then tested using the experimental data from an airborne campaign. The estimated s0 are consistent with Nscat-2 geophysical model function (GMF), indicating that the pre-processing chain acts well for RFSCAT.

关键词： Calibration Signal processing Interference (communication) Digital signal processing Distortion Radar algorithm development Antennas Backscatter Satellites

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Advances in Barkhausen Noise Analysis

Advances in Barkhausen Noise Analysis

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Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems

作者： Meyendorf, Norbert Hillmann, Susanne Cikalova, Ulana Schreiber, Juergen Fraunhofer Inst Nondestruct Testing IZFP Dresden Branch Dresden Germany

ISBN: (纸本)9780819499875

The magnetic Barkhausen Noise technique is a well suited method for the characterization of ferromagnetic materials. The Barkhausen effect results in an interaction between the magnetic structure and the microstructure of materials, and is sensitive to the stresses and microstructure related mechanical properties. Barkhausen noise is a complex signal that provides a large amount of information, for example frequency spectrum, amplitude, RMS value, dependence of magnetic field strength, magnetization frequency and fractal behavior. Although this technique has a lot potentials, it is not commonly used in nondestructive material testing. Large sensors and complex calibration procedures made the method impractical for many applications. However, research has progressed in recent years;new sensor designs were developed and evaluated, new algorithms to simplify the calibration and measurement procedures were developed as well as analysis of additional material properties have been introduced.

关键词： Magnetism Sensors Calibration Interference (communication) Nondestructive evaluation Electrodes Magnetic sensors algorithm development Ferromagnetics Analytical research

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COMPRESSIVE SENSING FOR HYPERSPECTRAL EARTH OBSERVATION FROM SPACE

COMPRESSIVE SENSING FOR HYPERSPECTRAL EARTH OBSERVATION FROM...

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International Conference on Space Optics (ICSO)

作者： Barducci, A. Guzzi, D. Lastri, C. Nardino, V. Pippi, I. Raimondi, V. Sofasi Srl Viale Alessandro Guidoni 139 I-50127 Florence Italy CNR Ist Fis Applicata Nello Carrara IFAC Via Madonna Piano 10 I-50019 Sesto Fiorentino Italy

ISBN: (纸本)9781510616158

Topical studies [1-5] demonstrate that signal acquisition can be performed at sampling frequencies far below the minimal frequency dictated by the ideal sampling theorem, a concept called "compressive sampling" (CS). This technique can be applied to signals that don't convey the entire information amount predicted by the traditional sampling theory, regardless of the maximum frequency contained in their spectrum. Signals with this intriguing characteristic are called sparse.

关键词： Spectroscopy Prototyping Spatial light modulators Sensors algorithm development Astronomical imaging Cameras Compressed sensing Liquid crystals Modulation

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Super-Resolution Processing for Multi-functional LPI Waveforms

Super-Resolution Processing for Multi-functional LPI Wavefor...

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Conference on Radar Sensor Technology XVIII

作者： Li, Zhengzheng Zhang, Yan Wang, Shang Cai, Jingxjiao Univ Oklahoma Intelligent Aerosp Radar Team IART Norman OK 73072 USA

ISBN: (纸本)9781628410143

Super-resolution (SR) is a radar processing technique closely related to the pulse compression (or correlation receiver). There are many super-resolution algorithms developed for the improved range resolution and reduced sidelobe contaminations. Traditionally, the waveforms used for the SR have been either phase-coding (such as LKP3 code, Barker code) or the frequency modulation (chirp, or nonlinear frequency modulation). There are, however, an important class of waveforms which are either random in nature (such as random noise waveform), or randomly modulated for multiple function operations (such as the ADS-B radar signals in [1]). These waveforms have the advantages of low-probability-of-intercept (LPI). If the existing SR techniques can be applied to these waveforms, there will be much more flexibility for using these waveforms in actual sensing missions. Also, SR usually has great advantage that the final output (as estimation of ground truth) is largely independent of the waveform. Such benefits are attractive to many important primary radar applications. In this paper the general introduction of the SR algorithms are provided first, and some implementation considerations are discussed. The selected algorithms are applied to the typical LPI waveforms, and the results are discussed. It is observed that SR algorithms can be reliably used for LPI waveforms, on the other hand, practical considerations should be kept in mind in order to obtain the optimal estimation results.

关键词： Radar Signal to noise ratio Monte Carlo methods Doppler effect Super resolution algorithm development Modulation Receivers Frequency modulation Interference (communication)

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A hybrid algorithm for robust acoustic source localization in noisy and reverberant environments 5

A hybrid algorithm for robust acoustic source localization i...

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5th Remote Sensing System Engineering Conference held as part of the SPIE Optics + Photonics and Optical Engineering + Applications Annual Meeting

作者： Rajagopalan, Ramesh Dessonville, Timothy Univ St Thomas Sch Engn St Paul MN 55105 USA

ISBN: (纸本)9781628412505

Acoustic source localization using microphone arrays is widely used in videoconferencing and surveillance systems. However, it still remains a challenging task to develop efficient algorithms for accurate estimation of source location using distributed data processing. In this work, we propose a new algorithm for efficient localization of a speaker in noisy and reverberant environments such as videoconferencing. We propose a hybrid algorithm that combines generalized cross correlation based phase transform method (GCC-PHAT) and Tabu search to obtain a robust and accurate estimate of the speaker location. The Tabu Search algorithm iteratively improves the time difference of arrival (TDOA) estimate of GCC-PHAT by examining the neighboring solutions until a convergence in the TDOA value is obtained. Experiments were performed based on real world data recorded from a meeting room in the presence of noise such as computer and fans. Our results demonstrate that the proposed hybrid algorithm outperforms GCC-PHAT especially when the noise level is high. This shows the robustness of the proposed algorithm in noisy and realistic videoconferencing systems.

关键词： Source localization Acoustics algorithm development Fluctuations and noise Computer simulations Correlation function Data processing Fourier transforms Surveillance systems Environmental monitoring

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Autonomous Underwater Pipeline Monitoring Navigation System

Autonomous Underwater Pipeline Monitoring Navigation System

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Conference on Automatic Target Recognition XXIV

作者： Mitchell, Byrel Mahmoudian, Nina Meadows, Guy Michigan Technol Univ Dept Mech Engn Engn Mech Houghton MI 49931 USA Geol & Mining Engn & Sci Trondheim Norway Great Lakes Res Ctr Michigan Tech Trondheim Norway

ISBN: (纸本)9781628410273

This paper details the development of an autonomous motion-control and navigation algorithm for an underwater autonomous vehicle, the Ocean Server IVER3, to track long linear features such as underwater pipelines. As part of this work, the Nonlinear and Autonomous Systems Laboratory (NAS Lab) developed an algorithm that utilizes inputs from the vehicles state of the art sensor package, which includes digital imaging, digital 3-D Sides can Sonar, and Acoustic Doppler Current Profilers. The resulting algorithms should tolerate real-world waterway with episodic strong currents, low visibility, high sediment content, and a variety of small and large vessel traffic.

关键词： Control systems Imaging systems Inspection algorithm development Cameras Detection and tracking algorithms Image processing Navigation systems Feedback control Complex systems

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Characterization of Arbitrary Fiber Taper profiles with Optical Microscopy and Image Processing algorithms 2

Characterization of Arbitrary Fiber Taper profiles with Opti...

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2nd International Conference on Applications of Optics and Photonics

作者： Farias, Heric D. Sebem, Renan Paterno, Aleksander S. Santa Catarina State Univ Dept Elect Engn Joinville Brazil

ISBN: (纸本)9781628413618

This work reports results from the development of a software to process the parameters involved in the characterization of fiber taper profiles, while using optical microscopy, a high-definition camera and a high-precision translation stage as the moveable base on which the taper is positioned. In addition to this procedure, image processing algorithms were customized to process the acquired images. With edge detection algorithms in the stitched image, one would be able to characterize the given taper radius curve that represents the taper profile when the camera has a sufficient resolution. As a consequence, the proposed fiber taper characterization procedure is a first step towards a high-resolution characterization of fiber taper diameters with arbitrary profiles, specially this case, in which tapers are fabricated with the stepwise technique that allows the production of non-biconical profiles. The parameters of the stitched images depends on the used microscope objective and the length of the characterized tapers. A non-biconical arbitrary taper is measured as an example for the illustration of the developed software and procedure.

关键词： Image processing Software development Microscopes Fiber characterization algorithm development Fabrication Optical microscopy Cameras Detection and tracking algorithms Edge detection

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Computational Efficiency Improvements for Image Colorization

Computational Efficiency Improvements for Image Colorization

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Conference on Computational Imaging XII

作者： Yu, Chao Sharma, Gaurav Aly, Hussein Univ Rochester ECE Dept Rochester NY 14627 USA

ISBN: (纸本)9780819499370

We propose an efficient algorithm for colorization of greyscale images. As in prim work, colorization is posed as an optimization problem: a user specifies the color for a few scribbles drawn on the greyscale image and the color image is obtained by propagating color information from the scribbles to surrounding regions, while maximizing the local smoothness of colors. In this formulation, colorization is obtained by solving a large sparse linear system, which normally requires substantial computation and memory resources. Our algorithm improves the computational performance through three innovations over prior colorization implementations. First, the linear system is solved iteratively without explicitly constructing the sparse matrix, which significantly reduces the required memory. Second, we formulate each iteration in terms of integral images obtained by onamic programming, reducing repetitive computation. Third, we use a coarse-to-fine framework, where a lower resolution subsampled image is first colorized and this low resolution color image is upsampled to initialize the colorization process for the fine level. The improvements we develop provide significant speed-up and memory savings compared to the conventional approach of solving the linear system directly using off-the-shelf sparse solvers, and allow us to colorize images with typical sizes encountered in realistic applications on typical commodity computing platforms.

关键词： Computing systems Optimization (mathematics) Image processing Computer programming Image resolution algorithm development Color image processing Image quality MATLAB Visualization

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Near-field waveguide trapping and tracking of particles using fluorescence imaging

Near-field waveguide trapping and tracking of particles usin...

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Conference on Complex Light and Optical Forces VIII

作者： Ahluwalia, Balpreet S. Brox, Petter Helle, Oystein Tinguely, Jean-Claude Helleso, Olav G. Univ Tromso N-9001 Tromso Norway

ISBN: (纸本)9780819499127

The evanescent field from an optical waveguide is used for near-field trapping and transporting of fluorescent microspheres. Out-of-focus fluorescence imaging is used to track the trapped particle in 3-D with nanometer precision (<100 nm). A prior calibration is done to determine the relationship between the z-coordinate and the radius of the outermost diffraction ring in the image of the sphere. This gives precise information about how much the particle moves up and down during propulsion along the waveguide. Results are presented for trapping and tracking a 1 m fluorescent particle on a strip waveguide.

关键词： Particles Waveguides Diffraction Calibration Luminescence Objectives algorithm development Detection and tracking algorithms Near field Image analysis

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