1,915 research outputs found
Several Ideas on Fire Detecting Alarm for Power Supply and Distribution System
AbstractThrough the cases of fire in the power supply and distribution system for iron and steel enterprises, the basic causes and the main fire parts for the fire in the power supply and distribution system have been analyzed. Types of fire in the power supply and distribution system are summarized. Several ideas for prevention of fire that will occur in the power supply and distribution system are put forward
Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
Structural damage identification can be considered as an optimization problem, by defining an appropriate objective function relevant to structural parameters to be identified with optimization techniques. This paper proposes a new heuristic algorithm, named improved Jaya (I-Jaya) algorithm, for structural damage identification with the modified objective function based on sparse regularization and Bayesian inference. To improve the global optimization capacity and robustness of the original Jaya algorithm, a clustering strategy is employed to replace solutions with low-quality objective values and a new updated equation is used for the best-so-far solution. The objective function that is sensitive and robust for effective and reliable damage identification is developed through sparse regularization and Bayesian inference and used for optimization analysis with the proposed I-Jaya algorithm. Benchmark tests are conducted to verify the improvement in the developed algorithm. Numerical studies on a truss structure and experimental validations on an experimental reinforced concrete bridge model are performed to verify the developed approach. A limited quantity of modal data, which is distinctively less than the number of unknown system parameters, are used for structural damage identification. Significant measurement noise effect and modelling errors are considered. Damage identification results demonstrate that the proposed method based on the I-Jaya algorithm and the modified objective function based on sparse regularization and Bayesian inference can provide accurate and reliable damage identification, indicating the proposed method is a promising approach for structural damage detection using data with significant uncertainties and limited measurement information
Revealing two radio active galactic nuclei extremely near PSR J04374715
Newton's gravitational constant may vary with time at an extremely low
level. The time variability of will affect the orbital motion of a
millisecond pulsar in a binary system and cause a tiny difference between the
orbital period-dependent measurement of the kinematic distance and the direct
measurement of the annual parallax distance. PSR J04374715 is the nearest
millisecond pulsar and the brightest at radio. To explore the feasibility of
achieving a parallax distance accuracy of one light-year, comparable to the
recent timing result, with the technique of differential astrometry, we
searched for compact radio sources quite close to PSR J04374715. Using
existing data from the Very Large Array and the Australia Telescope Compact
Array, we detected two sources with flat spectra, relatively stable flux
densities of 0.9 and 1.0 mJy at 8.4 GHz and separations of 13 and 45 arcsec.
With a network consisting of the Long Baseline Array and the Kunming 40-m radio
telescope, we found that both sources have a point-like structure and a
brightness temperature of 10 K. According to these radio inputs and
the absence of counterparts in the other bands, we argue that they are most
likely the compact radio cores of extragalactic active galactic nuclei rather
than Galactic radio stars. The finding of these two radio active galactic
nuclei will enable us to achieve a sub-pc distance accuracy with the in-beam
phase-referencing very-long-baseline interferometric observations and provide
one of the most stringent constraints on the time variability of in the
near future.Comment: 9 pages, 3 tables, 3 figures. Accepted for publication in MNRA
Evidence for Majorana bound state in an iron-based superconductor
The search for Majorana bound state (MBS) has recently emerged as one of the
most active research areas in condensed matter physics, fueled by the prospect
of using its non-Abelian statistics for robust quantum computation. A highly
sought-after platform for MBS is two-dimensional topological superconductors,
where MBS is predicted to exist as a zero-energy mode in the core of a vortex.
A clear observation of MBS, however, is often hindered by the presence of
additional low-lying bound states inside the vortex core. By using scanning
tunneling microscope on the newly discovered superconducting Dirac surface
state of iron-based superconductor FeTe1-xSex (x = 0.45, superconducting
transition temperature Tc = 14.5 K), we clearly observe a sharp and non-split
zero-bias peak inside a vortex core. Systematic studies of its evolution under
different magnetic fields, temperatures, and tunneling barriers strongly
suggest that this is the case of tunneling to a nearly pure MBS, separated from
non-topological bound states which is moved away from the zero energy due to
the high ratio between the superconducting gap and the Fermi energy in this
material. This observation offers a new, robust platform for realizing and
manipulating MBSs at a relatively high temperature.Comment: 27 pages, 11 figures, supplementary information include
- …