This paper deenes the model-based diagnosis and repair process. We consider repair (i.e. restoration of speciied system purposes) as the main goal of this process. Our goal is to deene how an intelligent agent integrates and schedules observations and actions in an interleaved way in order to guarantee a speciied system purpose. We deene a temporal framework where all concepts necessary to repr...

The distributed shared memory(DSM) system transforms an existing network of workstations to a powerful shared-memory parallel computer which could deliver superior price/performance. To provide fault tolerance to DSM system , checkpointing and logging is widely used. In this paper, we propose a novel logging scheme which greatly reduces the amount of logging by tracking the dependency informati...

A deeper observation is that a Markov chain X starts afresh from its value at some random times called stopping times. Generally, a stopping time is a random time τ that is non-anticipative. That is, we can tell that τ ≤ n from {X0, X1, . . . , Xn}, for any n ≥ 0. A simple example is the first hitting time TA of a set A ⊂ X . Another simple example is TA + 5. A simple counterexample is TA − 1. ...

Process modeling – the design and use of graphical documentations of an organization’s business processes – is a key method to document and use information about the operations of businesses. Still, despite current interest in process modeling, this research area faces essential challenges. Key unanswered questions concern the impact of process modeling in organizational practice, and the mecha...

This paper proposes a procedure for process parameters design by combining both modeling and optimization methods. The proposed procedure integrates the Taguchi method, the artificial neural network (ANN), and the genetic algorithm (GA). First, the Taguchi method is applied to minimize experimental numbers and to collect experimental data representing the quality performances of a system. Next,...

The different measureable variables in a process are often interrelated to the extent that knowledge of an intermediate variable could be used beneficially to control a primary process variable. One example is a flow of water entering a tank in which the level is to be controlled. Controlling the incoming flow with a control valve certainly has a direct effect on the level of water in the tank....