The project HOPS: Enabling an Intelligent Natural Language Based Hub for the Deployment of Advanced Semantically Enriched Multi-channel Mass-scale Online Public Services

A New Method based on Intelligent Water Drops for Multicast Routing in Wireless Mesh Networks

In recent years a new type of wireless networks named wireless mesh networks has drawn the attention of researchers. In order to increase the capacity of mesh network, nodes are equipped with multiple radios tuned on multiple channels emerging multi radio multi channel wireless mesh networks. Therefore, the main challenge of these networks is how to properly assign the channels to the radios. O...

Apply ontology and agent technology to construct virtual observatory

The need to deal with abundance and heterogeneous information is apparent in the astronomy community. The virtual observatory (VO) concept is the astronomical community’s response to alleviate this problem and Web services serve as one of the most important VO enabling technologies. However, one of the limitations of Web services is the lack of semantic description of its content, thus prohibit...

Agents and Ambient Intelligence : the LAICA Experience

Ambient intelligence generally refers to scenarios of computationally enriched environments enabling us both to better interact with the physical world and to integrate in the physical world smart functionalities. In this context, multiagent systems are a natural paradigm to develop and deploy dynamic and situation-aware ambient intelligence services. Here we present and discuss our experience ...

Advanced Technologies Enabling Multi-device Mobile Access to Current and Future (semantically Enriched) Web Applications, Services and Information Portals Thematic Area: 350405 Strategic Action on Open Source Software Deliverable D.7.2.1 Content-services Correlation Algorithms D.7.2.1 Content-services Correlation Algorithms, Page 2 of 18

An Online Q-learning Based Multi-Agent LFC for a Multi-Area Multi-Source Power System Including Distributed Energy Resources

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...