High-velocity streams of high-dimensional data pose significant “big data” analysis challenges across a range of applications and settings. Online learning and online convex programming play a significant role in the rapid recovery of important or anomalous information from these large datastreams. While recent advances in online learning have led to novel and rapidly converging algorithms, the...

In this work the Kalman filter and the Particle filter are described and their performance in the Simaltaneous Localization And Mapping (SLAM) problem in static environments is discussed. Furthermore, this paper presents how derivatives of these filters are applied in order to solve the SLAM problem in dynamic environments. The Particle filter makes less assumptions about the probability distri...

While building maps when robot poses are known is a tractable problem requiring limited computational complexity, the simultaneous estimation of the trajectory and the map of the environment (known as SLAM) is much more complex and requires many computational resources. Moreover, SLAM is generally peformed in environments that do not vary over time (called static environments), whereas real app...

Events fall short to simulate actions of multi-agent systems (MASs). Agents act in dynamic environments, and the characteristics of actions in dynamic environments differ significantly from the properties of events. In this paper, we propose a conceptual model for actions in dynamic environments, based on the concepts influence, activity and effect. The model is especially important for simulat...

By dynamic adaptation, we mean the ability to modify an application at run-time. This provides a system with the skill to dynamically alter its behaviour while it is running, depending on the (changing) conditions of the environment. In this work we show how to perform dynamic adaptation by means of contextual environments, which define flexible adaptation policies. Thus, our main goal is to de...

This article investigates systematically the utility of performance measures in non-stationary environments. Three characteristics for describing the goals of a dynamic adaptation process are proposed: accuracy, stability, and recovery. This examination underpins the usage of the best fitness value as a basis for measuring the three characteristics in scenarios with moderate changes of the best...

A secure multicast framework should only allow authorized members of a group to decrypt received messages; usually, one ‘‘group key’’ is shared by all approved members. However, this raises the problem of ‘‘one affects all’’, whereby the actions of one member affect the whole group. Many researchers have solved the problem by dividing a group into several subgroups, but most current solutions r...

Virtual geographic environments (VGE) are environments pertaining to the relationship between post-humans and 3-D virtual worlds. Post-humans are defined as a combination of humans in the real world with 3-D avatars in 3-D virtual worlds. VGE can be a platform for the public participation in spatial data analyses, in model computation and simulation, and in environmental planning and decision m...

LiDAR technology can provide very detailed and highly accurate geospatial information on an urban scene for the creation of Virtual Geographic Environments (VGEs) for different applications. However, automatic 3D modeling and feature recognition from LiDAR point clouds are very complex tasks. This becomes even more complex when the data is incomplete (occlusion problem) or uncertain. In this pa...