The two-component formulation of quantum electrodynamics with fundamental mass is studied. We review and update the prediction of the primordial existence of lepton magnetic moment in framework of two component formulation of the Maximal Mass Model containing a limiting mass M , which is considered as new universal physical constant. As it well known in the Dirac theory so-called gyromagnetic f...

In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...

Quantum metrology pursues high-precision measurements of physical quantities by using quantum resources. However, the decoherence generally hinders its performance. Previous work found that metrological error tends to diverge in long-encoding-time regime due Born-Markovian approximate decoherence, which is called no-go theorem noisy metrology. Here we propose a Gaussian scheme bimodal quantized...

In this paper the quantitative influence of external vibrations on the measurement value of a Coriolis Mass-Flow Meter for low flows is investigated, with the eventual goal to reduce the influence of vibrations. Model results are compared with experimental results to improve the knowledge on how external vibrations affect the measurement error. A Coriolis Mass-Flow Meter (CMFM) is an active dev...

in this paper, multi-objective uniform-diversity genetic algorithm (muga) with a diversity preserving mechanism called the ε-elimination algorithm is used for pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. the important conflicting objective functions that have been considered in this work are, namely, vertical accel...