6 resultados para NETWORK ANALYSIS
em Universitat de Girona, Spain
Resumo:
El 17th Annual Meeting of the Florence Network (FN) va tenir lloc del 21 al 25 d’abril de 2009 a The Hague University of Applied Sciences (THU) Academy of Health-School of Nursing, sota el lema: “Patient/client centred healthcare”. The Ducht perspective with an international touch”, i es va centrar en l’actual situació dels drets dels pacients a Holanda aplicat en diferents camps de les cures infermeres. L’Escola d’Infermeria de la Universitat de Girona hi va participar amb l’assistència de dues professores i quatre estudiants. E nombre total d’estudiants que varen assistir a la FN es de 47. La procedència dels mateixos en total de 9 països diferents. De tots ells assistien per primer cop 18 persones 4 ho feien per segona vegada i 1 per tercera . Els objectius del treball que es presenta son els següents: 1, Conèixer l’opinió dels estudiants respecte a la seva participació a la Florence Network. 2, Saber quin perfil tenen els universitaris que hi assisteixen 3, Detectar els punts forts i els punts febles que destaquen els estudiants després de participar a la Florence Network
Resumo:
Es va instal.lar un analitzador CM4000 a la Facultat de Ciències per tal de poder enregistrar en temps real les incidències en la xarxa elèctrica que s'estaven produint (caigudes de tensió i problemes amb els harmònics). El projecte vol monotoritzar la qualitat dels registres d'aquest analitzador que queden enregistrats a la base de dades Power Server. A partir d'aquestes dades es realitza un estudi sobre la freqüència de les incidències, buscant el patró dels dies i hores en què les incidències són màximes
Resumo:
This paper presents a study of connection availability in GMPLS over optical transport networks (OTN) taking into account different network topologies. Two basic path protection schemes are considered and compared with the no protection case. The selected topologies are heterogeneous in geographic coverage, network diameter, link lengths, and average node degree. Connection availability is also computed considering the reliability data of physical components and a well-known network availability model. Results show several correspondences between suitable path protection algorithms and several network topology characteristics
Resumo:
This paper presents a tool for the analysis and regeneration of Web contents, implemented through XML and Java. At the moment, the Web content delivery from server to clients is carried out without taking into account clients' characteristics. Heterogeneous and diverse characteristics, such as user's preferences, different capacities of the client's devices, different types of access, state of the network and current load on the server, directly affect the behavior of Web services. On the other hand, the growing use of multimedia objects in the design of Web contents is made without taking into account this diversity and heterogeneity. It affects, even more, the appropriate content delivery. Thus, the objective of the presented tool is the treatment of Web pages taking into account the mentioned heterogeneity and adapting contents in order to improve the performance on the Web
Resumo:
The work presented in this paper belongs to the power quality knowledge area and deals with the voltage sags in power transmission and distribution systems. Propagating throughout the power network, voltage sags can cause plenty of problems for domestic and industrial loads that can financially cost a lot. To impose penalties to responsible party and to improve monitoring and mitigation strategies, sags must be located in the power network. With such a worthwhile objective, this paper comes up with a new method for associating a sag waveform with its origin in transmission and distribution networks. It solves this problem through developing hybrid methods which hire multiway principal component analysis (MPCA) as a dimension reduction tool. MPCA reexpresses sag waveforms in a new subspace just in a few scores. We train some well-known classifiers with these scores and exploit them for classification of future sags. The capabilities of the proposed method for dimension reduction and classification are examined using the real data gathered from three substations in Catalonia, Spain. The obtained classification rates certify the goodness and powerfulness of the developed hybrid methods as brand-new tools for sag classification
Resumo:
The article examines the structure of the collaboration networks of research groups where Slovenian and Spanish PhD students are pursuing their doctorate. The units of analysis are student-supervisor dyads. We use duocentred networks, a novel network structure appropriate for networks which are centred around a dyad. A cluster analysis reveals three typical clusters of research groups. Those which are large and belong to several institutions are labelled under a bridging social capital label. Those which are small, centred in a single institution but have high cohesion are labelled as bonding social capital. Those which are small and with low cohesion are called weak social capital groups. Academic performance of both PhD students and supervisors are highest in bridging groups and lowest in weak groups. Other variables are also found to differ according to the type of research group. At the end, some recommendations regarding academic and research policy are drawn