A lot of systems (operating systems, database systems, distributed systems, information systems) can be described, form the point of view of reliability, like a multi-state system. The multi-state system is investigated in this paper as an object of reliability analysis. In this case, the system and its component may experience more than two states of reliability as opposed to the binary system...

Genericity is a topic which is not sufficiently developed in state-based systems modelling, mainly due to a myriad of approaches and behaviour models which lack unification. This paper adopts coalgebra theory to propose a generic notion of a state-based software component, and an associated calculus, by quantifying over behavioural models specified as strong monads. This leads to the pointfree,...

In this paper, we address the improvement of an acoustic model using the multi-path Hidden Markov network (HMnet) model for automatically creating non-uniform tied-state, context-dependent hidden markov model topologies. Recent research has achieved multi-path model topologies in order to improve the recognition performance in gender-independent, spontaneous-speaking applications. However, the ...

In this paper, we present a practical approach for the joint reliability–redundancy optimization of multistate series–parallel systems. In addition to determining the optimal redundancy level for each parallel subsystem, this approach also aims at finding the optimal values for the variables that affect the component state distributions in each subsystem. The key point is that technical and org...

If computational tractability were not an issue, multi-object estimation should integrate all measurements from multiple sensors across scans. In this article, we propose efficient numerical solution to the multi-scan multi-sensor problem by computing (labeled) posterior density. Minimizing <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"...

The sensitivity analysis of complex industrial systems aims at identifying, in a multi-unit structure, which components contribute the most to a variation of the performance criterion. In this paper an importance measure, called multi-directional sensitivity measure, defined as the derivative of the system performance in the direction defined by a vector (or matrix) in an appropriate space (e.g...

In this paper, a novel algorithm named multi-scan mixture particle filter is proposed for joint detection and tracking for a varying number of targets. The posterior distribution of multiple target state in a single-target state space is a multi-mode distribution with each mode corresponding to either a target or clutter. A general global posterior distribution is adopted in this work, which co...