772 research outputs found

    Effects of Scratching Parameters on Fabrication of Polymer Nanostructures in Atomic Force Microscope Tapping Mode

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    AbstractThe nano scratching with an oscillating Atomic Force Microscopy (AFM) tip in tapping mode is called as the dynamic ploughing. The tip is vibrated in a high frequency and scratches the surface which is similar to the conventional vibration-assistant machining process. In the present study, the dynamic ploughing technique is utilized to scratch PolymethylMethacrylate (PMMA) polymer surfaces forming nanostructures with a commercial AFM system and two kinds of cantilevers. Effects of scratching parameters of the dynamic ploughing including scratching velocity, driving amplitude, pitch and the cantilever's elastic constant on the machined results are studied in detail. Finally nano ring structures with different radius are achieved successfully.Video abstrac

    Parameter estimation for VSI-Fed PMSM based on a dynamic PSO with learning strategies

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    © 1986-2012 IEEE.A dynamic particle swarm optimization with learning strategy (DPSO-LS) is proposed for key parameter estimation for permanent magnet synchronous machines (PMSMs), where the voltage-source inverter (VSI) nonlinearities are taken into account in the parameter estimation model and can be estimated simultaneously with other machine parameters. In the DPSO-LS algorithm, a novel movement modification equation with variable exploration vector is designed to effectively update particles, enabling swarms to cover large areas of search space with large probability and thus the global search ability is enhanced. Moreover, a Gaussian-distribution-based dynamic opposition-based learning strategy is developed to help the pBest jump out local optima. The proposed DPSO-LS can significantly enhance the estimator model accuracy and dynamic performance. Finally, the proposed algorithm is applied to multiple parameter estimation including the VSI nonlinearities of a PMSM. The performance of DPSO-LS is compared with several existing PSO algorithms, and the comparison results show that the proposed parameters estimation method has better performance in tracking the variation of machine parameters effectively and estimating the VSI nonlinearities under different operation conditions

    Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications

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    Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints. Recent developments in support vector machine and metaheuristics show many advantages of these techniques. In particular, particle swarm optimization is now widely used in solving tough optimization problems. In this paper, we use a combination of a recently developed Accelerated PSO and a nonlinear support vector machine to form a framework for solving business optimization problems. We first apply the proposed APSO-SVM to production optimization, and then use it for income prediction and project scheduling. We also carry out some parametric studies and discuss the advantages of the proposed metaheuristic SVM.Comment: 12 page

    Simple Memristive SPICE Macro-Models and Reconfigurability in Filter and Antenna

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    Simple current- and voltage-controlled memristive circuit macro-models using SPICE are proposed to capture the nonlinear hysteresis loop behaviors in this paper. Different current-voltage characteristics are investigated by applying sinusoidal-wave, triangular-wave and square-wave source, respectively. Furthermore, using finite-difference time-domain (FDTD) emulator incorporated with a SPICE circuit solver, the current- or voltage-controlled memristive SPICE model is embedded into a planar microwave bandstop filter (BSF) and an ultra-wideband (UWB) monopole antenna, which connects two ends of the half-wavelength open-loop resonator and two sides of the U-slot in the radiating patch, respectively. The reconfigurability of the BSF and antenna notched band can be achieved by switching the states of the memristor

    Study on a Cracked Single-Layer 2D Woven Composite Plate: Fracture Mode and Damage Analysis

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    An experimental study and numerical calculation are conducted to investigate the crack propagation in a 2D woven composite. Crack propagation tests of single-layer composite plate specimens permit this process to be directly followed. Analysis of their fracture surfaces reveals crack propagation paths, fracture mode, and damage mechanisms. The load–deflection curve represents the crack propagation as a three-stage process. The stress intensity near the crack tip is evaluated with the critical stress intensity factor numerically calculated. The results demonstrate a good agreement between the calculations and experiment.Проведены экспериментальные исследования и численные расчеты для изучения распространения трещин плоского тканого композита. Благодаря испытанию на распространение трещин в однослойной композитной пластине можно непосредственно наблюдать процесс распространения трещин. Анализ поверхностей разрушенных образцов позволяет установить траекторию распространения трещин, характер разрушения и механизмы повреждения. Согласно кривой нагрузка–перемещение, процесс распространения трещин разделяется на три стадии. Для исследования интенсивности напряжений в вершине трещины образцов определяется критический коэффициент интенсивности напряжений путем численных расчетов. Полученные результаты демонстрируют хорошее соответствие расчетных данных с экспериментальными

    Performance Analysis of Prioritized MAC in UWB WPAN With Bursty Multimedia Traffic

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    Semiblind Channel Estimation for Pulse-Based Ultra-Wideband Wireless Communication Systems

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    Multiple sources of infection and potential endemic characteristics of the large outbreak of dengue in Guangdong in 2014

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    A large outbreak of dengue, with the most documented cases, occurred in Guangdong China in 2014. Epidemiological studies and phylogenetic analysis of the isolated dengue virus (DENV) showed this outbreak was attributed to multiple sources and caused by at least two genotypes of DENV-1 (Genotypes I and III) and two genotypes of DENV-2 (Cosmopolitan and Asian I Genotypes). A retrospective review and phylogenetic analysis of DENV isolated in Guangdong showed that DENV-1 Genotype I strains were reported continuously during 2004-2014, Genotype III strains were reported during 2009-2014 ; DENV-2 Cosmopolitan and Asian I Genotype strains were reported continuously during 2012-2014. At least 45,171 cases were reported in this outbreak, with 65.9% of the patients in the 21-55-year-old group. A trend toward a decrease in the daily newly emerged cases lagged by approximately 20 days compared with the mosquito density curve. Several epidemiological characteristics of this outbreak and the stably sustained serotypes and genotypes of DENV isolated in Guangdong suggest that Guangdong has been facing a threat of transforming from a dengue epidemic area to an endemic area. The high temperature, drenching rain, rapid urbanization, and pandemic of dengue in Southeast Asia may have contributed to this large outbreak of dengue

    A spherical perfect lens

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    It has been recently proved that a slab of negative refractive index material acts as a perfect lens in that it makes accessible the sub-wavelength image information contained in the evanescent modes of a source. Here we elaborate on perfect lens solutions to spherical shells of negative refractive material where magnification of the near-field images becomes possible. The negative refractive materials then need to be spatially dispersive with ϵ(r)1/r\epsilon(r) \sim 1/r and μ(r)1/r\mu(r)\sim 1/r. We concentrate on lens-like solutions for the extreme near-field limit. Then the conditions for the TM and TE polarized modes become independent of μ\mu and ϵ\epsilon respectively.Comment: Revtex4, 9 pages, 2 figures (eps
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