The need for active capability for non-traditional applications and its concomitant bene ts are well-established. Although the event-based technique for monitoring conditions (leading to the integrated architecture) is the most versatile of all the techniques, from a practical viewpoint there is a need for enhancing pre-existing non-active DBMSs to support active capability. The set of techniqu...

We handle design problems with modeling and optimization. Sometimes this procedure is under question due to the lack of knowledge about the design constraints, especially when human evaluation is involved. In this work we look into the problem of indentifying constraints when they are not physically available and can only be identified by trial. The solution is indeed an application of active l...

For shielding applications that cannot sufficiently be shielded by only a passive shield, it is useful to combine a passive and an active shield. Indeed, the latter does the “finetuning” of the field reduction that is mainly caused by the passive shield. The design requires the optimization of the geometry of the passive shield, the position of all coils of the active shield, and the real and i...

The ultimate goal of optimization is to find the minimizer of a target function. However, typical criteria for active optimization often ignore the uncertainty about the minimizer. We propose a novel criterion for global optimization and an associated sequential active learning strategy using Gaussian processes. Our criterion is the reduction of uncertainty in the posterior distribution of the ...

Background: With advances in medical imaging systems, digital dermoscopy has become one of the major imaging modalities in the analysis of skin lesions. Thus, automated segmentation or border detection has a great impact on the subsequent steps of skin cancer computer-aided diagnosis using demoscopy images. Since dermoscopy images suffer from artifacts such as shading and hair, there is a need ...

We handle design problems with modeling and optimization. Sometimes this procedure is under question due to the lack of knowledge about the design constraints, especially when human evaluation is involved. In this work we look into the problem of identifying constraints when they are not physically available and can only be identified by trial. The solution is indeed an application of active le...

This paper presents the development of a mixed-variable optimization framework for the aeroelastic analysis and design of active twist rotors. Proper tailoring of the blade properties can lead to the maximization of the active twist and the control authority for vibration reductionunder operating conditions. Thus, usingmathematical optimization, the cross-sectional layout is designed using cont...

This paper is concerned with the minimization of an objective that is the sum of a convex function f and an `1 regularization term. Our interest is in methods that incorporate second-order information about the function f to accelerate convergence. We describe a semi-smooth Newton framework that can be used to generate a variety of second-order methods, including block active-set methods, ortha...

The plant and control optimization problems are coupled in the sense that solving them sequentially does not guarantee system optimality. This paper extends previous studies of this coupling by relaxing their assumption of full state measurement availability. An original derivation of first-order necessary conditions for plant, observer, controller, and combined optimality furnishes coupling te...