Advanced Materials Research
Vol. 501
Vol. 501
Advanced Materials Research
Vol. 500
Vol. 500
Advanced Materials Research
Vol. 499
Vol. 499
Advanced Materials Research
Vol. 498
Vol. 498
Advanced Materials Research
Vol. 497
Vol. 497
Advanced Materials Research
Vol. 496
Vol. 496
Advanced Materials Research
Vols. 490-495
Vols. 490-495
Advanced Materials Research
Vols. 488-489
Vols. 488-489
Advanced Materials Research
Vol. 487
Vol. 487
Advanced Materials Research
Vol. 486
Vol. 486
Advanced Materials Research
Vol. 485
Vol. 485
Advanced Materials Research
Vols. 482-484
Vols. 482-484
Advanced Materials Research
Vols. 479-481
Vols. 479-481
Advanced Materials Research Vols. 490-495
Paper Title Page
Abstract: We have studied the possibility to form fine magnetic column arrays using 30-keV-electron beam (EB) drawing with thin calixarene resist and 200-eV-Ar ion milling, and nanometer-sizing effect of the magnetic column on the corecive force for patterned media. We achieved 20-nm-sized resist dot arrays on PtCo magnetic and thin metals layers on glass substrate. We formed fine magnetic column arrays with a diameter of 39 to 106 nm and a space of about 100 nm using the resist pattern by the 200-eV Ar ion-milling. Using the nano magnetic column arrays, the hysteresis were measured by X-ray magnetic circular dichroism (XMCD) with an energy of 11.57 keV, which corresponds to an energy edge of Pt-L3. It is clarified that a coercive force of the nanometer-sized magnetic column increased as the diameter decreased.
292
Abstract: This paper deals with the dynamic output feedback control problem for a class of discrete-time stochastic systems involving sector nonlinearities and mixed time-delays. Based on the control theory and Lyapunov-Krasovskii functional method, an effective approach is proposed to design a dynamic output feedback controller such that the resultant closed-loop system is stochastically stable with a prescribed disturbance attention in the mean square sense and has a performance level. A numerical example demonstrates the effectiveness of the method.
296
Abstract: In the paper a software platform is developed for online BCI system based on motor imagery. The programming for multiple monitors is applied to display the notice information of performing imaginary movement. The hybrid programming of using Matlab engine under VC++ is implemented to make full use of the function of signal processing and pattern recognition of Matlab. Both offline EEG acquisition and analysis and online test can be realized with the software platform. And it has high universality and friendly interface.
301
Abstract: Envelope analysis based on the combination of complex Morlet wavelet and Kurtogram have advantages of automatic calculation of the center frequency and bandwidth of required band-pass filter. However, there are some drawbacks in the traditional algorithm, which include that the filter bandwidth is not -3dB bandwidth and the analysis frequency band covered by the filter-banks are inconsistent at different levels. A new algorithm is introduced in this paper. Through it, both optimal center frequency and bandwidth of band-pass filter in the envelop analysis can be obtained adaptively. Meanwhile, it ensures that the filters in the filter-banks are overlapped at the point of -3dB bandwidth and the consistency of frequency band that the filter-banks covered.
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Abstract: The worldwide competition calls for higher precision machine tool, so how to improve the machining precision is a hot topic. Error identification, as the first basic step of enhancing precision ,is paid expecially attention to. In this paper, two different but important kinds of identification methods—direct identification and indirect identification are introduced, what special is that these methods are achieved just by one equipment—laser interferometer named laser Doppler displacement measurement(LDDM).Through experiments, we can gain the errors of 3-axis machine tool including 3 displacement errors, 6 straightness errors,3 squareness errors, axis spike, backlash, circularity value, cyclic error and so on. The results will benefit for later accuracy improvement.
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Abstract: Rich phenomenology is generally expected if the heavy neutrinos responsible via the seesaw mechanism for the small neutrino mass observed in neutrino oscillations are not much heavier than the electroweak scale. A model with this feature built in has been suggested recently by Hung. We analyze the lepton flavor structure in gauge interactions and calculate the branching ratios for the decays due to the gauge interactions in this model.
315
Abstract: Aimed at the problem of the configuration program of road maintenance machinery index difficult to quantify, by using the method of fuzzy comprehensive in highway maintenance machinery configuration evaluation, depicted some fuzzy phenomena with subjective qualitative description , closely integrated quantitative analysis and subjective qualitative description. Try to find a reasonable and workable evaluation approach. So that make the mechanization of highway maintenance and construction more scientific and practical
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Abstract: Ordered double perovskite oxides (Sr2-3xLa2xBax)FeMoO6 (0≤x≤0.3) have been investigated in this work. X-ray powder diffraction reveals that the crystal structure of the compounds changes from a tetragonal I4/m lattice to a cubic Fm m lattice around x=0.2. Due to the electron doping, the lattice constants increase with x. Owing to the competing contribution of electron doping and steric effect, Curie temperature of the compounds is almost unchanged. The resistivity of the parent compound shows a semiconducting behavior below room temperature, but those of the doped samples exhibit a metal-semiconductor transition. A correlation between the resistivity and metal-semiconducting transition temperature (TM-S) is observed. The resistivity and TM-S of the compounds decrease with x for x 0.2 and increase for x≥0.2.
325
Abstract: In order to realize effective tracking of output of non-linear plants with model uncertainty in specified time domain, a clonal selection algorithm based fuzzy optimal iterative learning control algorithm is proposed. In the algorithm, a clonal selection algorithm is employed to search optimal input for next iteration, and another clonal selection algorithm is used to update the parameters of Takagi-Sugeno-Kang fuzzy system model of the plant. Simulations show that the proposed method converges faster than GA-ILC in iterative domain,and is able to deal with model uncertainty well
329
Abstract: By using the AR (Auto-regressive) self-regression model, structure acceleration data are fitted. By using fitted coefficients, the characteristic vector of structure damage is constructed. Based on the Mahalanobis distance of the characteristic vectors under different states, the index of structure damage is designed. By comparing the characteristic index of healthy structures and the damaged ones, damages can be detected. By an experiment of damage identification on steel-frame structure model, the effectiveness of the method is validated.
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