Model of Competencies for Decomposition of Human Behavior: Application to Control System of Robots

Humans and machines have shared the same physical space for many years. To share the same space, we want the robots to behave like human beings. This will facilitate their social integration, their interaction with humans and create an intelligent behavior. To achieve this goal, we need to understand how human behavior is generated, analyze tasks running our nerves and how they relate to them. Then and only then can we implement these mechanisms in robotic beings. In this study, we propose a model of competencies based on human neuroregulator system for analysis and decomposition of behavior into functional modules. Using this model allow separate and locate the tasks to be implemented in a robot that displays human-like behavior. As an example, we show the application of model to the autonomous movement behavior on unfamiliar environments and its implementation in various simulated and real robots with different physical configurations and physical devices of different nature. The main result of this study has been to build a model of competencies that is being used to build robotic systems capable of displaying behaviors similar to humans and consider the specific characteristics of robots.

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.

Construction of Intelligent Virtual Worlds Using a Grammatical Framework

The potential of integrating multiagent systems and virtual environments has not been exploited to its whole extent. This paper proposes a model based on grammars, called Minerva, to construct complex virtual environments that integrate the features of agents. A virtual world is described as a set of dynamic and static elements. The static part is represented by a sequence of primitives and transformations and the dynamic elements by a series of agents. Agent activation and communication is achieved using events, created by the so-called event generators. The grammar defines a descriptive language with a simple syntax and a semantics, defined by functions. The semantics functions allow the scene to be displayed in a graphics device, and the description of the activities of the agents, including artificial intelligence algorithms and reactions to physical phenomena. To illustrate the use of Minerva, a practical example is presented: a simple robot simulator that considers the basic features of a typical robot. The result is a functional simple simulator. Minerva is a reusable, integral, and generic system, which can be easily scaled, adapted, and improved. The description of the virtual scene is independent from its representation and the elements that it interacts with.

Applying the WHO recommendations on health-sector response to violence against women to assess the Spanish health system. A mixed methods approach

This methodological note describes the development and application of a mixed-methods protocol to assess the responsiveness of Spanish health systems to violence against women in Spain, based on the World Health Organization (WHO) recommendations. Five areas for exploration were identified based on the WHO recommendations: policy environment, protocols, training, accountability/monitoring, and prevention/promotion. Two data collection instruments were developed to assess the situation of 17 Spanish regional health systems (RHS) with respect to these areas: 1) a set of indicators to guide a systematic review of secondary sources, and 2) an interview guide to be used with 26 key informants at the regional and national levels. We found differences between RHSs in the five areas assessed. The progress of RHSs on the WHO recommendations was notable at the level of policies, moderate in terms of health service delivery, and very limited in terms of preventive actions. Using a mixed-methods approach was useful for triangulation and complementarity during instrument design, data collection and interpretation.

P.A.V.E.S. : Post-Accident Vehicle Emergency System

Dissertação apresentada ao Instituto Politécnico de Castelo Branco para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Desenvolvimento de Software e Sistemas Interactivos, realizada sob a orientação científica do Doutor Fernando Reinaldo Silva Garcia Ribeiro, Professor Adjunto da Unidade Técnico-Científica de Informática da Escola Superior de Tecnologia do Instituto Politécnico de Castelo Branco.

The Dilemmas of Diffusion: Institutional Transfer & the Remaking of Vocational Training Practices in Eastern Germany, CES Germany & Europe Working Papers, No. 05.10, 1996

Through a case study of the diffusion of the celebrated West Gennan "dual system" of vocational training to the territory of the fonner German Democratic Republic, we develop the argument that local sociopolitical relations matter crucially for the successful transfer and implementation of institutional arrangements. Notwithstanding massive levels of government funding, the presence of complementary supports, and the concerted efforts of Ger­many's social partners, the dual system is experiencing significant difficulties in the new federal states of the East. These difficulties are not due simply to the particular politics of unification (the wholesale transfer of West German institutions whether or not they were appropriate to Eastern Germany) nor even simply to the paucity of dynamic private firms capable of and willing to train new apprentices. The difficulties stem also from the under­ lying weaknesses of the East German sociopolitical infrastructure on which the entire dual system rests. This. hy­ pothesis is elaborated and substantiated through a range of data on training in the East and especially through the use of detailed case studies of Leipzig and Chemrutz.

Fault diagnosis of an automotive suspension system

With the development of the embedded application and driving assistance systems, it becomes relevant to develop parallel mechanisms in order to check and to diagnose these new systems. In this thesis we focus our research on one of this type of parallel mechanisms and analytical redundancy for fault diagnosis of an automotive suspension system. We have considered a quarter model car passive suspension model and used a parameter estimation, ARX model, method to detect the fault happening in the damper and spring of system. Moreover, afterward we have deployed a neural network classifier to isolate the faults and identifies where the fault is happening. Then in this regard, the safety measurements and redundancies can take into the effect to prevent failure in the system. It is shown that The ARX estimator could quickly detect the fault online using the vertical acceleration and displacement sensor data which are common sensors in nowadays vehicles. Hence, the clear divergence is the ARX response make it easy to deploy a threshold to give alarm to the intelligent system of vehicle and the neural classifier can quickly show the place of fault occurrence.

Effects of exercise training on intrauterine growth restriction in an animal model

Résumé Selon l'OMS, la retard de croissance intra-utérine (RCIU; 10% en dessous du poids normal pendant la grossesse) affecte 5-10% des grossesses et est une cause principale de la morbidité et de la mortalité périnatales. Dans notre étude précédente sur un modèle de souris transgénique de prééclampsie (R+A+), nous avons constaté que l’entraînement physique (ExT) avant et pendant la grossesse réduisait la pression artérielle maternelle et empêchait la RCIU en améliorant le développement placentaire. Dans le cadre de mon projet, nous avons confirmé les bénifices de l’ExT dans un modèle de RCIU (souris déficiente en p57Kip2 (p57-/+). Ainsi, nous avons observé la présence de RCIU, d’une masse placentaire réduite, d’une augmentation de la pathologie placentaire ainsi qu’une plus petite taille des portées chez les souris p57-/+ sédentaire. L’ExT prévient la RCIU ainsi que tous les paramètres mentionnés ci-haut. Nous avons observé que l'expression du facteur de croissance de l’endothélium vasculaire, un régulateur clé de l'angiogenèse lors de la croissance placentaire, était réduite dans le placenta des souris p57-/+ et normalisée par l’ExT. Nous avons également trouvé que l'expression en ARN dans le placenta de 2 facteurs inflammatoires (interleukine-1β et MCP-1) était augmenté chez les souris sédentaires p57-/+ alors que ceci n’était pas présent chez les souris entraînées, ce qui suggère que l'inflammation placentaire peut contribuer à la pathologie placentaire. Toutefois, contrairement aux souris R+A+, le système rénine-angiotensine placentaire chez les souris p57-/+ était normale et aucun effet de l’ExT a été observé. Ces résultats suggèrent que l’ExT prévient la RCIU en normalisant la pathologie placentaire, l’angiogenèse et l’inflammation placentaire.

Services to Hispanics in JTPA : implications for the system : (working title) /

Includes bibliographical references.

Integrating intelligent transportation systems within the planning process: an interim handbook.

Federal Highway Administration, Office of Traffic Management and Intelligent Systems Applications, Washington, D.C.

Concepts for a low-cost motorist information system. Final report.

Federal Highway Administration, Washington, D.C.

Special training in injury coding. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

An instructional delivery system for manpower management /

Mode of access: Internet.

Integrated motorist information system (IMIS) feasibility and design study. Phase I: feasibility study. Volume 2 - appendices. Final report.

Federal Highway Administration, Office of Research and Development, Washington, D.C.

Model curriculum for training motorcoach drivers: study guide.

Mode of access: Internet.