The increasing use of power electronics equipment in various operating environments has raised concerns about the space charge accumulation in insulation materials, especially in high-radiation environments. In order ...
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The cable stacked by high temperature superconducting tapes have strong anisotropic magnetic fielddependence due to the fundamental anisotropic property inherited from reBCO materials. With the number of tapes increa...
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High-temperature superconducting coils/magnets are widely used in the design and fabrication of high-energy physics and nuclear physics magnets. And the devices are generally used to integrate the assembly of large su...
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Optimization of energy management in office buildings is essential to get through power outages while continuing business operations. For this purpose, an accurate mathematical model of energy management is necessary....
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To meet the increasing computing needs of various application fields, Field programmable gate array(FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appr...
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To meet the increasing computing needs of various application fields, Field programmable gate array(FPGA) has been widely deployed. In FPGA-based processing, hardware tasks can be better accelerated by allocating appropriate computing resources. Therefore,FPGA-based hardware task scheduling has become one of the mainstream research directions in academia and industry. However, the optimization objectives of existing FPGA-based hardware task scheduling methods are relatively scattered. In this regard, this paper summarizes the research status of hardware task dynamic scheduling from the three essential elements of FPGA processing: time, resources, and power *** paper analyzes, sorts out, categorizes the ideas and implementations of various scheduling methods and analyzes and evaluates optimization effects of various scheduling methods from multiple dimensions. Then, the shortcomings of the existing methods are summarized and some practical applications are introduced. Finally, the research direction of task scheduling based on FPGA is prospected and summarized.
Excavation damage zone (EdZ) has a great influence on the stability and support design for tunnels. To betterdescribe the difference of EdZ in hardrock caused by tunnel boring machine (TBM) anddrilling-blasting (d&...
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Maglev trains have line adaptability, low noise, low vibration, and have the potential for ultra-high operating speeds. Although maglev trains eliminate the energy consumption caused by wheel-rail friction, the signif...
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Permanent magnet synchronous motors (PMSMs) have many advantages such as high efficiency. As they are widely utilized for many applications, requirements of less noise and fewer vibrations increase. For a suppression ...
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Magnetic field generated by the contacts of Vacuum Interrupter (VI) support the interruption of fault current. Therefore, the interruption performance of VI is mainly influenced by the contact configuration. To develo...
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A one-year series of hourly average PM10 observations, which was obtained from the urban and national park air monitoring station at Taipei (Taiwan), was analyzed by descriptive statistics and fractal methods to exami...
A one-year series of hourly average PM10 observations, which was obtained from the urban and national park air monitoring station at Taipei (Taiwan), was analyzed by descriptive statistics and fractal methods to examine the temporal structures of PM10 concentrations. It was found that all PM10 measurements exhibited the characteristic right-skewed unimodal frequency distribution and long-term memory. A monodimensional fractal analysis was performed by transferring the PM10 concentration time series into a useful compact form: the box-dimension (dB)-threshold (Th) and critical scale (CS)-threshold (Th) plots. Scale invariance was found in these time series and the box dimension was shown to be a decreasing function of the threshold PM10 level, implying multifractal characteristics, (i.e., the weak and intense regions scale differently). To test this hypothesis, the PM10 concentration time series were transferred into multifractal spectra, i.e., the τ(q)-q plots. The analysis confirmed the existence of multifractal characteristics. A simple two-scale Cantor set with unequal scales and weights was then used to fit the calculated τ(q)-q plots. This model fits well with the entire spectrum of scaling exponents for the examined PM10 time series. The relationship between the fractal parameters and classical statistical characteristics, as well as some problems concerning the applicability of fractal methods on air pollution, are discussed.
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