This paper describes general modelling of radar target tracking scenarios. Manoeuvres are modelled using a stochastic continuous-time model. The goal of the paper is to compare two diierent manoeuvre models, called the Markov model and jump model respectively. Both approaches lead to Kalman lter banks, with the number of models kept constant by merging and pruning respectively. Simulation resul...

We consider the problem of detecting jump location curves of regression surfaces. In the literature, most existing methods detect jumps in regression surfaces based on estimation of either the first-order or the second-order derivatives of regression surfaces. Methods based on the first-order derivatives are usually better in removing noise, whereas methods based on the second-order derivatives...

In this paper, we consider the stability analysis of large-scale distributed networked control systems with random communication delays between linearly interconnected subsystems. The stability analysis is performed in the Markov jump linear system framework. There have been considerable researches on stability analysis of Markov jump systems, however, these methods are not applicable to large-...

Evaluation of default correlation is an important task in credit risk analysis. In many practical situations, it concerns the joint defaults of several correlated firms, the task that is reducible to a first passage time (FPT) problem. This task represents a great challenge for jump-diffusion processes (JDP), where except for very basic cases, there are no analytical solutions for such problems...

Locusts possess an identified neuron, the descending contralateral movement detector (DCMD), conveying visual information about impending collision from the brain to thoracic motor centers. We built a telemetry system to simultaneously record, in freely behaving animals, the activity of the DCMD and of motoneurons involved in jump execution. Cocontraction of antagonistic leg muscles, a required...

Particle Swarm Optimization (PSO) has shown good performance in many optimization problems. However, it easily falls into local optima and suffers from premature convergence on complex multimodal problems. To help trapped particles escape from local minima, a novel hybrid jumps strategy is proposed. The main idea of the new jump strategy is to monitor the changes of previous best particle and t...

The capability of UML profiles to serve as annotation mechanism has been recognized in both industry and research. Today’s modeling tools offer profiles specific to platforms, such as Java, as they facilitate model-based engineering approaches. However, the set of available profiles is considerably smaller compared to the number of existing Java libraries using annotations. This is because an e...

The traditional TCP congestion control scheme often yields limited performance due to its conservative Slow Start algorithm, which can require many round-trip times to reach an appropriate sending rate that well utilizes the available capacity. A number of techniques in the literature address this issue, but we offer a different approach that is simple yet blunt: allow TCPs to begin transmissio...

A generic compact real codimension two submanifold X of Cn+2 will have a CR structure at all but a finite number of points (failing at the complex jump points J). The main theorem of this paper gives a method of extending the CR structure on the non-jump points X − J to the jump points. We examine a Gauss map from X − J to an appropriate flag manifold F and take the closure of the graph of this...

In this paper, we briefly review the scheme of counting statistics, in which a probability of the number of monitored or target transitions in a Markov jump process is evaluated. It is generally easy to construct a master equation for the Markov jump process, and the counting statistics enables us to straightforwardly obtain basic equations of the counting statistics from the master equation; t...