Autosuficiència energètica en una edificació aïllada

Estudi d’una masia aïllada, sense xarxa elèctrica ni sanejament urbà. Càlcul del pressupost de les instal.lacions per tal que la casa tingui una xarxa de sanejament, electricitat i aigua calenta de generació pròpies, sempre re manera respectuosa amb el medi ambient

Rank estimation of trajectory matrix in motion segmentation

A novel technique for estimating the rank of the trajectory matrix in the local subspace affinity (LSA) motion segmentation framework is presented. This new rank estimation is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built with LSA. The result is an enhanced model selection technique for trajectory matrix rank estimation by which it is possible to automate LSA, without requiring any a priori knowledge, and to improve the final segmentation

Enhanced Model Selection for motion segmentation

In this paper a novel rank estimation technique for trajectories motion segmentation within the Local Subspace Affinity (LSA) framework is presented. This technique, called Enhanced Model Selection (EMS), is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built by LSA. The results on synthetic and real data show that without any a priori knowledge, EMS automatically provides an accurate and robust rank estimation, improving the accuracy of the final motion segmentation

A hybrid method for sag source location in power network

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

Transmission delays in residual computation

The design of control, estimation or diagnosis algorithms most often assumes that all available process variables represent the system state at the same instant of time. However, this is never true in current network systems, because of the unknown deterministic or stochastic transmission delays introduced by the communication network. During the diagnosing stage, this will often generate false alarms. Under nominal operation, the different transmission delays associated with the variables that appear in the computation form produce discrepancies of the residuals from zero. A technique aiming at the minimisation of the resulting false alarms rate, that is based on the explicit modelling of communication delays and on their best-case estimation is proposed

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics

Visual management of sags and incidents gathered in distribution substations for power quality management

Monitor a distribution network implies working with a huge amount of data coining from the different elements that interact in the network. This paper presents a visualization tool that simplifies the task of searching the database for useful information applicable to fault management or preventive maintenance of the network

L'ensenyament universitari del segle XXI : més enllà del paper

Durant les últimes dècades, en un context en què impera la influència de les TIC, el model de l'ensenyament universitari ha canviat radicalment. Paral·lelament, els rols de l'estudiant i del professor també s'han vist modificats: l'estudiant ha deixat de ser un lector passiu per convertir-se en un lector que participa activament en el procés d'aprenentatge, aportant material complementari i en diferents suports a la informació que li arriba. Neix, així, el concepte de lectura augmentada. La Universitat Oberta de Catalunya és un exemple de la tendència de futur de l'ensenyament universitari, en què l'estudiant pren les regnes de l'aprenentatge i les institucions educatives s'adapten a les noves necessitats de l'usuari afavorint la flexibilitat, la mobilitat i les eines tecnològiques imprescindibles per a aquest nou model d'ensenyament.

Producció de carn fresca de porc enriquida amb àcid linoleic conjugat (CLA)

Estudi de l’efecte de la inclusió de l’àcid linoleic conjugat (CLA) en la dieta de porcs d’engreix, concretament, les variables relacionades amb els rendiments d’engreix, la qualitat d’aploms dels animals, la qualitat de la canal, i la qualitat de la carn, incloent la qualitat i quantitat del greix intramuscular i subcutani

L'ensenyament universitari del segle XXI : més enllà del paper

La Universitat Oberta de Catalunya (UOC) és un exemple de la tendència de futur de l'ensenyament universitari, en què l'estudiant pren les regnes de l'aprenenetatge i les institucions educatives s'adapten a les noves necessitats de l'usuari afavorint la flexibilitat, la mobilitat i les eines tecnològiques imprescindibles per a aquest nou model d'enseyament.

Equidistribution estimates for Fekete points on complex manifolds

We study the equidistribution of Fekete points in a compact complex manifold. These are extremal point configurations defined through sections of powers of a positive line bundle. Their equidistribution is a known result. The novelty of our approach is that we relate them to the problem of sampling and interpolation on line bundles, which allows us to estimate the equidistribution of the Fekete points quantitatively. In particular we estimate the Kantorovich-Wasserstein distance of the Fekete points to its limiting measure. The sampling and interpolation arrays on line bundles are a subject of independent interest, and we provide necessary density conditions through the classical approach of Landau, that in this context measures the local dimension of the space of sections of the line bundle. We obtain a complete geometric characterization of sampling and interpolation arrays in the case of compact manifolds of dimension one, and we prove that there are no arrays of both sampling and interpolation in the more general setting of semipositive line bundles.

Dynamic modelling of an underwater vehicle

Nessie is an Autonomous Underwater Vehicle (AUV) created by a team of students in the Heriot Watt University to compete in the Student Autonomous Underwater Competition, Europe (SAUC-E) in August 2006. The main objective of the project is to find the dynamic equation of the robot, dynamic model. With it, the behaviour of the robot will be easier to understand and movement tests will be available by computer without the need of the robot, what is a way to save time, batteries, money and the robot from water inside itself. The object of the second part in this project is setting a control system for Nessie by using the model

Disseny d’un sistema de recàrrega dinámica de vehicles elèctrics mitjançant witricitat en camps de ressonància

Amb aquest projecte es pretén dissenyar un sistema de recàrrega de les bateries delsvehicles elèctrics mentre aquests funcionen, i d’aquesta forma disminuir ladependència d’aquests al nivell de càrrega de la bateria, conferir-los més autonomia itransformar el temps de recàrrega del vehicle en temps útil de conducció. El sistema estarà format per un grup de bobines fixades al paviment i connectades enparal•lel al llarg de la calçada de la via per on el vehicle elèctric circularà, el qual tambéincorporarà, en la part inferior, una bobina en ressonància magnètica amb lesanteriorment anomenades. Les bobines immòbils, que estaran connectades a la xarxaelèctrica, induiran en la bobina fixada al vehicle un corrent elèctric a partir dels circuitsressonants als quals estan connectades. S’estudiarà la configuració més òptimad’aquest sistema per tal de subministrar la potència necessària per carregar la bateria,tenint en compte la despesa energètica extra derivada del fet de realitzar-ho enmoviment

Llibreria pel control estadístic de processos industrials per lots

Aquest projecte s’ha desenvolupat en el grup d'investigació d'Enginyeria de Control i Sistemes Intel•ligents (eXiT). El treball realitzat ha consistit en la implementació d’una Toolbox per Matlab. La finalitat d’aquesta Toolbox és aconseguir unificar tot el codi existent al grup en una única Toolbox, auto continguda (que no necessiti d’altres Toolboxes de Matlab), d’aquesta manera es permetrà que el codi resultant sigui fàcilment reutilitzable d’ara en endavant. També s’ha aconseguit que les futures ampliacions tinguin un punt de partida estable i fàcil de modificar. El fet que el codi sigui auto-contingut (que no depengui de Toolboxes externes al grup) també facilita la reutilització i exportació dels codis del grup al no dependre de llicències d’altres Toolboxes