98 resultados para Enterprise application integration (Computer systems)
Resumo:
Desarrollo de un sistema robótico auxiliar de limpieza autónomo en movimiento, conectado a una red wireless, dotado de un sistema de protección contra la perdida de conexión.
Resumo:
Sistema embebido capaz de almacenar y posteriormente reconocer patrones de movimiento realizados con él y avisar de la detección de un patrón reconocido a otro sistema mediante una conexión TCP/IP vía Wi-Fi.
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Este trabajo evalúa la usabilidad de la web de Renfe, comparándola con sitios de características similares, particularmente en Francia y Alemania. Para este análisis se efectúa un test de usuario con personas enmarcadas dentro de las características de los usuarios potenciales.
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Statistical properties of binary complex networks are well understood and recently many attempts have been made to extend this knowledge to weighted ones. There are, however, subtle yet important considerations to be made regarding the nature of the weights used in this generalization. Weights can be either continuous or discrete magnitudes, and in the latter case, they can additionally have undistinguishable or distinguishable nature. This fact has not been addressed in the literature insofar and has deep implications on the network statistics. In this work we face this problem introducing multiedge networks as graphs where multiple (distinguishable) connections between nodes are considered. We develop a statistical mechanics framework where it is possible to get information about the most relevant observables given a large spectrum of linear and nonlinear constraints including those depending both on the number of multiedges per link and their binary projection. The latter case is particularly interesting as we show that binary projections can be understood from multiedge processes. The implications of these results are important as many real-agent-based problems mapped onto graphs require this treatment for a proper characterization of their collective behavior.
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Se presentan los resultados obtenidos en la aplicación de diversas metodologías de auditoría para comprobar el estado de la preservación digital en distintas instituciones de España. Se concluye que las auditorías también se pueden usar como herramienta de ayuda a la planificación de sistemas de preservación digital.
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Aquest PFC implementa el control d'una alarma activada per acceleració. S'ha realitzat sobre la placa LPC1769 i el sistema FreeRTOS. El projecte permet controlar l'alarma des de dispositius Android, a través d'un servidor intermedi que s'encarrega de la comunicació.
Resumo:
Aquest article pretén reflectir l'experiència viscuda a la Universitat de Barcelona (UB) en el procés viscut fa poc de canvi de sistema de Catàleg Col·lectiu de les Universitats de Catalunya (CCUC) i dels catàlegs de les institucions del Consorci de Biblioteques Universitàries de Catalunya (CBUC). Es recullen les principals actuacions i fites tècniques i organitzatives que ha assolit l'equip responsable de la implementació en les diferents fases del projecte, des d'un punt de vista professional però, sobretot, des del punt de vista personal d'implicació, de repte, de satisfacció i d'esforç. Es conclou destacant, d'una banda, la rellevància del treball en equip com a factor d'èxit en el desenvolupament d'un projecte complexi, de l'altra, la necessitat d'una reflexió global sobre els processos i fluxos de treball, per tal d'explotar al màxim les possibilitats d'un sistema de gestió integral i aconseguir el màxim d'eficiència.
Resumo:
Este proyecto crea un sistema de iluminación inteligente compuesto por múltiples dispositivos que, de forma inalámbrica, se sincronizan entre si, para encenderse, apagarse y cambiar el color de la luz ambiente. El sistema se ha diseñado para conectar hasta 8 dispositivos basados en el sistema embebido LPC1769 y S.O. FreeRTOS, integrando un sensor acelerómetro, varios leds de distinto color y un módulo WiFly RN-XV que los interconecta de forma inalámbrica.
Resumo:
Aquest treball explica com una pime passa d'un entorn de servidors majoritàriament físic a un entorn virtual aprofitant la necessitat d'actualitzar la infraestructura. La plataforma de virtualització utilitzada serà VMware tant per a servidors com per a escriptoris.
Resumo:
Craving is considered the main variable associated with relapse after smoking cessation. Cue Exposure Therapy (CET) consists of controlled and repeated exposure to drug-related cues with the aim of extinguishing craving responses. Some virtual reality (VR) environments, such as virtual bars or parties, have previously shown their efficacy as tools for eliciting smoking craving. However, in order to adapt this technology to smoking cessation interventions, there is a need for more diverse environments that enhance the probability of generalization of extinction in real life. The main objective of this study was to identify frequent situations that produce smoking craving, as well as detecting specific craving cues in those contexts. Participants were 154 smokers who responded to an ad hoc self-administered inventory for assessing craving level in 12 different situations. Results showed that having a drink in a bar/pub at night, after having lunch/dinner in a restaurant and having a coffee in a cafe or after lunch/dinner at home were reported as the most craving-inducing scenarios. Some differences were found with regard to participants' gender, age, and number of cigarettes smoked per day. Females, younger people, and heavier smokers reported higher levels of craving in most situations. In general, the most widely cited specific cues across the contexts were people smoking, having a coffee, being with friends, and having finished eating. These results are discussed with a view to their consideration in the design of valid and reliable VR environments that could be used in the treatment of nicotine addicts who wish to give up smoking.
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In the present chapter some prototype gas and gas-surface processes occurring within the hypersonic flow layer surrounding spacecrafts at planetary entry are discussed. The discussion is based on microscopic dynamical calculations of the detailed cross sections and rate coefficients performed using classical mechanics treatments for atoms, molecules and surfaces. Such treatment allows the evaluation of the efficiency of thermal processes (both at equilibrium and nonequilibrium distributions) based on state-to-state and state specific calculations properly averaged over the population of the initial states. The dependence of the efficiency of the considered processes on the initial partitioning of energy among the various degrees of freedom is discussed.
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Peer-reviewed
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Network virtualisation is considerably gaining attentionas a solution to ossification of the Internet. However, thesuccess of network virtualisation will depend in part on how efficientlythe virtual networks utilise substrate network resources.In this paper, we propose a machine learning-based approachto virtual network resource management. We propose to modelthe substrate network as a decentralised system and introducea learning algorithm in each substrate node and substrate link,providing self-organization capabilities. We propose a multiagentlearning algorithm that carries out the substrate network resourcemanagement in a coordinated and decentralised way. The taskof these agents is to use evaluative feedback to learn an optimalpolicy so as to dynamically allocate network resources to virtualnodes and links. The agents ensure that while the virtual networkshave the resources they need at any given time, only the requiredresources are reserved for this purpose. Simulations show thatour dynamic approach significantly improves the virtual networkacceptance ratio and the maximum number of accepted virtualnetwork requests at any time while ensuring that virtual networkquality of service requirements such as packet drop rate andvirtual link delay are not affected.
Resumo:
The objective of this project was to develop firmware for both the Arduino-compatible boards of the Smart Citizen initiative, and for the RTX4100 low-power WiFi.