Nowadays the efficiency of costs and resources planning in hospitals embody a critical role in the management of these units. Length Of Stay (LOS) is a good metric when the goal is to decrease costs and to optimize resources. In Intensive Care Units (ICU) optimization assumes even a greater importance derived from the high costs associated to inpatients. This study presents two data mining appr...

This paper studies some effects of real-time information on the implementation of monetary policy. We consider an economy in which several sources of uncertainty, such as measurement errors and imperfectly observable states, do not allow the policymaker to identify the true state of the economy. Optimal policy thus requires the policymaker to jointly solve a filtering and an optimisation proble...

In this research, we are developing a design framework for integrating dependability analysis into the distributed, heterogeneous, fault-tolerant real-time system design process. We focus on two dependability attributes: reliability and availability. We are implementing this framework on top of existing systems for the design of distributed, real-time systems such as TimeWiz (Ref. 4). This will...

Early life cycle risk models can represent the requirements that a development group would want to achieve, the risks that could prevent these requirements from being met, and mitigations that could alleviate those risks. Our task is the selection of the least expensive set of mitigations that achieve the highest attainment of requirements. As these risk models grow larger, the demand for faste...

Water flooding is a common technology of enhanced oil recovery and has been widely used to the world's oil fields. But it is difficult to maintain a uniform displacement of water, which causes the ineffective circulation of injected water. Therefore, the real-time dynamic control strategy is studied to work out development plans scientifically and make better economic profits in this paper. The...

Optimization is the task of finding an optimum solution to a given problem. When the decision variables are discrete we speak of a combinatorial optimization problem. Such a problem is online when decisions have to be made before all data of the problem are known. And we speak of a real-time online problem when online decisions have to be computed within very tight time bounds. This paper surve...

For controllable timed automata, a general parametric optimization framework based on automatatheory is proposed. The framework is general enough to incorporate both the parametric analysis problem and the controller synthesis problem of computer systems. We propose an algorithm for the construction of the characterization of the parameter constraints and controller synthesis, which in turn yie...

The present article looks at the problem of iterative controller tuning, where the parameters of a given controller are adapted in an iterative manner to bring a user-defined performance metric to a local minimum for some repetitive process. Specifically, we cast the controller tuning problem as a real-time optimization (RTO) problem, which allows us to exploit the available RTO theory to enfor...

Traditionally, interest in parallel computation centered around the speedup provided by parallel algorithms over their sequential counterparts. In this paper, we ask a di erent type of question: Can parallel computers, due to their speed, do more than simply speed up the solution to a problem? We show that for real-time optimization problems, a parallel computer can obtain a solution that is be...