Now showing items 1-10 of 324
Modeling the pulse profiles of millisecond pulsars in the second LAT catalog of γ-ray pulsars
Significant γ-ray pulsations have been detected from ∼40 millisecond pulsars (MSPs) using 3 years of sky-survey data from the Fermi LAT and radio timing solutions from across the globe. We have fit the radio and γ-ray pulse ...
Design of a non-intrusive cable condition monitoring technique by means of partial discharge
The purpose of this paper is to discuss the design of a non-intrusive condition monitoring technique for medium- and high-voltage power cables. Partial discharge (PD) was used to design the non-intrusive condition ...
Study on the energy saving applying highly efficient permanent magnet motor with two degrees of mechanical freedom in concrete industry
(IEEE-Institute of Electrical and Electronics Engineers, 2013)
The cement and concrete industry in South Africa has been growing rapidly for the last couple of years. This is due to the development of the construction industry with its need in concrete products like: concrete ...
A review on switched reluctance machines for electric vehicle
(IEEE-Institute of Electrical and Electronics Engineers, 2016)
Change detection in INARCH time series of counts
In the present paper we develop an online procedure for detecting changes in the parameters of integer ARCH models of order one. The test statistic utilizes the notion of the empirical probability generating function. The ...
Unidentified galactic high-energy sources as ancient pulsar wind nebulae in the light of new high energy observations and the new code
In a Pulsar Wind Nebula (PWN), the lifetime of inverse Compton (IC) emitting e− exceeds the lifetime of its progenitor pulsar (as well as its shell-type remnant), but it also exceeds the age of those that emit via synchrotron ...
Classifying bent radio galaxies from a mixture of point-like/extended images with machine learning
The hypothesis that bent radio sources are supposed to be found in rich, massive galaxy clusters and the avalibility of huge amount of data from radio surveys have fueled our motivation to use Machine Learning (ML) to ...