An extended collinearly improved Balitsky-Kovchegov evolution equation in the target rapidity representation is derived by including running coupling corrections during expansion of ``real'' $S$-matrix. We find that brings important modifications to equation, as one can see there are extra contributions kernel once included. To identify significance modifications, we numerically solve with and ...

Current out-of-sequence measurement (OOSM) filtering algorithms belong to two distinct classes, Kalman filter (KF) or extended KF (EKF) based and particle filter (PF) based. This paper compares the performances of the multiple-lag KF and PF based OOSM filtering algorithms for a number of scenarios with linear dynamic and measurement models with additive Gaussian noises first. The KF with in-seq...

Target motion analysis of the underwater target tracking by the UUV (Unmanned underwater vehicle) usually based on the bearing-only observations including azimuth and elevation angles. However, low angular resolution of hydro acoustic sonars is not enough for the good quality of tracking. Moreover, angular observations lead to nonlinear filtering such as Extended Kalman Filtering (EKF) which us...

We present two stochastic filters for an FM-band passive air surveillance radar. The first system uses an extended Kalman filter and delay-Doppler measurements to track targets. The second system uses a particle filter to simultaneously track and classify targets. Automatic target recognition is made possible by the inclusion of radar cross section (RCS) in the measurement vector. The extended ...

the increase of reproduction performance is one of the critical factors for improving economic achievement and sustaining small and middle scale livestock producing. for this to happen, participatory research and extension programs should be implemented with the help of livestock producers. in the present study, the knowledge and attitudes of target livestock producers of ewe estrous synchroniz...

A target-based MADM method covers beneficial and non-beneficial attributes besides target values for some attributes. Such techniques are considered as the comprehensive forms of MADM approaches. Target-based MADM methods can also be used in traditional decision-making problems in which beneficial and non-beneficial attributes only exist. In many practical selection problems, some attributes ha...

To solve the problem of false tracks generated by breakdowns and clutter in point-target tracking polar coordinates, a fusion algorithm based on converted measurement Kalman filter random matrix expansion is proposed. The (CMKF) transforms coordinate data target at current time into Cartesian coordinates without bias. Based linear measurements states, position extended group was predicted updat...