Abstract: With the expanding applications of Global Navigation Satellite Systems (GNSS) in geoscience and hydrology, environmental monitoring methods based on GNSS multipath-reflected signals have ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=18 ...
Abstract: This study develops the theory to enumerate the reachable states of marked graphs that are a simple subclass of Petri nets where every place has a single input and output transition without ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=8392666 ...
Abstract: Nowadays, Information Technology (IT) has been widely used by government organization in many aspects, especially in providing public services. Various researches proved that the use of IT ...
Abstract: Proposed is a simplified analytical propagation model in railway environments. A heuristic ray tracing with geometrical optics and uniform theory of diffraction are adopted. Four typical and ...
Abstract: This paper reports the generation of femtosecond pulses and wave-breaking-free picosecond pulses from a figure-9 mode-locked Yb-doped fiber laser based on a nonlinear amplifying loop mirror ...
Abstract: Mode-locked fiber lasers that can generate femtosecond pulses can find applications in many areas from high-resolution imaging to high-precision measurement. Bandwidth of their output is one ...
Abstract: Measurements on a large number of films made for television broadcasting permit quantitative statements concerning the densities of film reproductions of white objects, of black objects and ...
Abstract: A comprehensive approach to the design of a stripline for EMC testing is given in this paper. The authors attention has been focused on the design items that are most crucial by the ...
Abstract: The safety of transmission cables is essential for power system reliability, but insulation aging and leakage often lead to faults. This paper analyzes the feasibility of weak magnetic field ...
L 2,1-norm-based sparse principle component analysis with trace norm regularised term Abstract: Principal component analysis (PCA) is the most widely used unsupervised dimensionality reduction ...
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