Most modern applications deal with very large amounts of data. Having to deal with such huge amounts of data is in itself a challenge. This challenge is complicated even more by the fact that, in many cases, this data is constantly changing and evolving. For instance, relational databases that handle the data of day-to-day transactional applications often have tables with very high data change ...

There has not been a uniform agreement regarding what constitutes “good” performance for evolutionary algorithms in dynamic environments. A performance measurement method should, as a minimum, have an intuitive meaning and provide straightforward methods for statistical significance testing of comparative results. In this paper we attempt to resolve some issues related to EA performance measure...

idealized requirements, alternative goal decompositions (sometimes) correspond to viable alternative designs, where selection has been made on the basis of assumptions. In these cases, we provide a different kind of payback to the designer: in return for that designer explicitly recording the idealized requirements, their subdivisions and underlying assumptions, we may generate run-time monitor...

This paper presents a system that focuses on improving event reporting in crisis situation management. The idea is to provide reporters with software with an intelligent adaptive interface based on dynamic scripting to ensure report consistency and minimize composing time. The dynamic scripting approach is modeled after human reasoning with specific knowledge. Our approach differs from other ap...

In this thesis we address the problem of how to construct an optimal algorithm for displaying banners (i.e advertisements shown on web sites). The optimization is based on the revenue each banner generates, with the aim of selecting those banners which maximize future total revenue. Banner optimality is of major importance in the e-commerce industry, in particular on web sites with heavy traffi...

A G × E performance (interaction, profile) plot for showing genotype-by-environment data is discussed. Three versions of such a plot are compared: the regular performance plot; the performance plot based on coded data (environment-centered performance plot), in which the environment means of a trait are subtracted from data; and the performance plot based on data standardized in environments (e...

This work presents methods for tracking objects from noisy and unreliable data taken by a team of robots. We develop a multi-object tracking algorithm based on Kalman filtering and a single-object tracking method involving a combination of Kalman filtering and Markov localization for outlier detection. We apply these methods in the context of robot soccer for robots participating in the middle-...

Autonomous vehicles are being used increasingly often for a range of tasks, including automated highway driving and automated parking. These systems are typically either specialized for structured environments and depend entirely on such structure being present in their surroundings, or are specialized for unstructured environments and ignore any structure that may exist. In this paper, we pres...

In this work we address the problem of managing the reactive behavior in distributed environments in which data continuously changes over time, where the users may need to explicitly express how the triggers should be (self) modified. To enable this we propose the (ECA) – Evolving and Context-Aware Event-Condition-Action paradigm for specifying triggers that capture the desired reactive behavio...