Due to unfavorable weather circumstances, images captured from multiple sensors have limited the contrast and visibility. Many applications, such as web camera surveillance in public locations are used identify object categorization capture a vehicle's licence plate order detect reckless driving. The traditional methods can improve image quality by incorporating luminance, minimizing distortion...

The tutorial addresses the problems connected with requirements modelling in a UMLbased development process. UML supports requirements modelling by means of use cases. This practice suffers from several limitations, especially as use cases are quite informal descriptions –thus allowing ambiguities and misinterpretation of requirements– and they are not object-oriented –thus making traceability ...

Quality requirements, like security requirements, are difficult to elicit, especially if they cross multiple domains. Understanding these domains is an important issue in the requirements engineering process for the corresponding systems. Well-known requirements engineering approaches, such as goal-oriented techniques provide a good starting point in capturing security requirements in the form ...

In this paper we study optimization problems with second-order stochastic dominance constraints. This class of problems allows for the modeling of optimization problems where a riskaverse decision maker wants to ensure that the solution produced by the model dominates certain benchmarks. Here we deal with the case of multi-variate stochastic dominance under general distributions and nonlinear f...