JXTA-Overlay P2P Platform and Its Application for Robot Control

The design of an efficient collaborative multirobot framework that ensures the autonomy and the individualrequirements of the involved robots is a very challenging task. This requires designing an efficient platform for inter-robot communication. P2P is a good approach to achieve this goal. P2P aims at making the communication ubiquitous thereby crossing the communication boundary and has many attractive features to use it as a platform for collaborative multi-robot environments. In this work, we present the JXTA Overlay P2P system and its application for robot control. Since JXTAOverlay is able to overcome Firewalls, Routers and NATs, it is possible to control end-devices in a WAN without changing the network security policy. We used JXTA-Overlay for the control of robot motors. We evaluated the proposed system by many experiments and have shown that the proposed system has a good performance and can be used successfully for the control of robot.

Régime de retraites des ouvriers des établissements industriels de l'État. 1979, 23 janvier 1979 : [lois et décrets d'application] (Éd. mise à jour au..)

Collection : Journal officiel de la République française ; brochure 1039

Linear prediction application for modelling the relationships between a large number of stand characteristics of Norway spruce stands

Abstract

Fonds national de solidarité . [Loi du 30 juin 1956 portant institution d'un Fonds national de solidarité et textes d'application du Ministre des affaires sociales et du Ministre des affaires économiques et financières. Edition mise à jour au 15 août 1956.]

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In conspectu prope totius urbis: an application of different visual methods at the ager Tarraconensis landscape

We present in this paper the results of the application of several visual methods on a group of locations, dated between VI and I centuries BC, of the ager Tarraconensis (Tarragona, Spain) a Hinterland of the roman colony of Tarraco. The difficulty in interpreting the diverse results in a combined way has been resolved by means of the use of statistical methods, such as Principal Components Analysis (PCA) and K-means clustering analysis. These methods have allowed us to carry out site classifications in function of the landscape's visual structure that contains them and of the visual relationships that could be given among them.