In search of intelligent organizations

The purpose of this paper is to search for the main characteristics of intelligent organizations. Intelligence is one of those concepts that everyone has in mind, but hardly few can define or explain it. Thus, it is even more difficult to extend this concept to organizations, and to talk about organizational intelligence. This paper tries to show the new dimensions of intelligence up to the organizational level, and the new characteristics such intelligent organizations may have. Basically, intelligent organizations are the ones which developed the capability to continuously adapt to changing and unpredictable environments. They are learning organizations in which the human capital, including the individual intelligence, has been integrated into a new cognitive structure at the organization level.knowledge, intelligence, intellectual capital, organization, organizational intelligence.

Rice-obot 1: An intelligent autonomous mobile robot

The Rice-obot I is the first in a series of Intelligent Autonomous Mobile Robots (IAMRs) being developed at Rice University's Cooperative Intelligent Mobile Robots (CIMR) lab. The Rice-obot I is mainly designed to be a testbed for various robotic and AI techniques, and a platform for developing intelligent control systems for exploratory robots. Researchers present the need for a generalized environment capable of combining all of the control, sensory and knowledge systems of an IAMR. They introduce Lisp-Nodes as such a system, and develop the basic concepts of nodes, messages and classes. Furthermore, they show how the control system of the Rice-obot I is implemented as sub-systems in Lisp-Nodes

USE OF INTELLIGENT SOLUTIONS FOR URBAN DEVELOPMENT

The concept „smart planet” refers at intelligence which is being infused into the systems and processes and makes the world work better. We think that smarter means to infused intelligence into things which no one would recognize as computers: cars, appliances, roadways, even natural systems such as agriculture and waterways. To build a smart planet must to start from three main ideas: instrument the world’s systems, interconnect the world’s systems and make the world’s systems intelligent. This paper analysis where we can use the smart systems in our city and if these are a significant part of future locality development.smart solutions, smart planet, smart locality, urban development.

Active management of multi-service networks.

Future multiservice networks will be extremely large and complex. Novel management solutions will be required to keep the management costs reasonable. Active networking enables management to be delegated to network users as a large set of independent small scale management systems. A novel architecture for an active network based management solution for multiservice networking is presented

Real-time simulator of collaborative and autonomous vehicles

Durant ces dernières décennies, l’apparition des systèmes d’aide à la conduite a essentiellement été favorisée par le développement des différentes technologies ainsi que par celui des outils mathématiques associés. Cela a profondément affecté les systèmes de transport et a donné naissance au domaine des systèmes de transport intelligents (STI). Nous assistons de nos jours au développement du marché des véhicules intelligents dotés de systèmes d’aide à la conduite et de moyens de communication inter-véhiculaire. Les véhicules et les infrastructures intelligents changeront le mode de conduite sur les routes. Ils pourront résoudre une grande partie des problèmes engendrés par le trafic routier comme les accidents, les embouteillages, la pollution, etc. Cependant, le bon fonctionnement et la fiabilité des nouvelles générations des systèmes de transport nécessitent une parfaite maitrise des différents processus de leur conception, en particulier en ce qui concerne les systèmes embarqués. Il est clair que l’identification et la correction des défauts des systèmes embarqués sont deux tâches primordiales à la fois pour la sauvegarde de la vie humaine, à la fois pour la préservation de l’intégrité des véhicules et des infrastructures urbaines. Pour ce faire, la simulation numérique en temps réel est la démarche la plus adéquate pour tester et valider les systèmes de conduite et les véhicules intelligents. Elle présente de nombreux avantages qui la rendent incontournable pour la conception des systèmes embarqués. Par conséquent, dans ce projet, nous présentons une nouvelle plateforme de simulation temps-réel des véhicules intelligents et autonomes en conduite collaborative. Le projet se base sur deux principaux composants. Le premier étant les produits d’OPAL-RT Technologies notamment le logiciel RT-LAB « en : Real Time LABoratory », l’application Orchestra et les machines de simulation dédiées à la simulation en temps réel et aux calculs parallèles, le second composant est Pro-SiVIC pour la simulation de la dynamique des véhicules, du comportement des capteurs embarqués et de l’infrastructure. Cette nouvelle plateforme (Pro-SiVIC/RT-LAB) permettra notamment de tester les systèmes embarqués (capteurs, actionneurs, algorithmes), ainsi que les moyens de communication inter-véhiculaire. Elle permettra aussi d’identifier et de corriger les problèmes et les erreurs logicielles, et enfin de valider les systèmes embarqués avant même le prototypage

Integration of a voice recognition system in a social robot

Human-Robot Interaction (HRI) 1 is one of the main fields in the study and research of robotics. Within this field, dialog systems and interaction by voice play a very important role. When speaking about human- robot natural dialog we assume that the robot has the capability to accurately recognize the utterance what the human wants to transmit verbally and even its semantic meaning, but this is not always achieved. In this paper we describe the steps and requirements that we went through in order to endow the personal social robot Maggie, developed in the University Carlos III of Madrid, with the capability of understanding the natural language spoken by any human. We have analyzed the different possibilities offered by current software/hardware alternatives by testing them in real environments. We have obtained accurate data related to the speech recognition capabilities in different environments, using the most modern audio acquisition systems and analyzing not so typical parameters as user age, sex, intonation, volume and language. Finally we propose a new model to classify recognition results as accepted and rejected, based in a second ASR opinion. This new approach takes into account the pre-calculated success rate in noise intervals for each recognition framework decreasing false positives and false negatives rate.The funds have provided by the Spanish Government through the project called `Peer to Peer Robot-Human Interaction'' (R2H), of MEC (Ministry of Science and Education), and the project “A new approach to social robotics'' (AROS), of MICINN (Ministry of Science and Innovation). The research leading to these results has received funding from the RoboCity2030-II-CM project (S2009/DPI-1559), funded by Programas de Actividades I+D en la Comunidad de Madrid and cofunded by Structural Funds of the EU