Abstract This report proposes a design method of a digital filter to detect running water region in video signal. As a result of applying this filter, the water level of a river is automatically detected as a boundary between the land region and the water region. Conventional approaches have used the edge detector "vertically" to extract a horizontal line as running water surface. The frame "su...

1. Introduction While aerodynamic prediction methods based CFD are now well established , and quite accurate and robust, the ultimate need in the design process is to find the optimum shape which maximizes the aerodynamic performance. One way to approach this objective is to view it as a control problem, in which the wing is treated as a device which controls the flow to produce lift with minim...

This paper introduces some advances in Evolutionary Topological Optimum Design, thanks to extensive use of adaptive techniques. On the genotypic side, a variable length representation is used: the complexity of the representation of each individual is evolved by the algorithm rather than being prescribed by some fixed mesh of the design domain, resulting in self-adaptive complexity. On the phen...

This paper describes a method to schedule shifts in the most optimum way desire for today’s cost sensitive industries. The main problem for this domain is to make sure all shifts are assigned to cover all or maximum jobs available. The shifts also need to be schedule with the least manpower possible, avoid manpower idling during the shift and take into consideration employee’s time adaptability...

The purpose of the paper is to discuss the applicability of stochastic programming models and methods to civil engineering design problems. In cooperation with experts in civil engineering, the problem concerning an optimal design of beam dimensions has been chosen. The corresponding mathematical model involves an ODE-type constraint, uncertain parameter related to the material characteristics ...

The evaluation of operations number for the system design has been done for general design strategy. More general methodology for the system and circuit design was elaborated by means of optimum control theory formulation. This approach generalizes the design process and generates infinite number of the different design strategies. The main equations for this general design methodology were ela...

Evolutionary multiobjective algorithms have been a successful stochastic tool for engineering global optimum design since the final nineties. In a context of conflicting objectives where improving one of them implies the worsening of others, evolutionary multiobjective algorithms allow to obtain in one single run a set of non-dominated solutions in the sense of Pareto criterion. Among their fie...

Many designers think of control system feedback loop compensation only in terms of stable or unstable. In reality, there is an optimum error amplifier transfer function for any given loop crossover frequency and phase margin. The optimum design is shown to be the one with the highest gain below crossover and the lowest gain above crossover. There is a unique pole-zero placement to achieve optim...

Structural topology optimization is addressed through Genetic Algorithms: A set of designs is evolved following the Darwinian survival-of-ttest principle. The goal is to optimize the weight of the structure under displacement constraints. This approach demonstrates high exibility, and breaks many limits of standard optimization algorithms, in spite of the heavy requirements in term of computati...

We consider the situation where one has to maximise a function (; x) with respect to x 2 IR q , when is unknown and estimated by least squares through observations y k = f > (x k) + k , with k some random error. Classical applications are regulation and extremum control problems. The approach we adopt corresponds to maximizing the sum of the current estimated objective and a penalisation for po...