Jornada d'avaluació de la qualitat de les universitats

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WEASEL: Vodafone Corporate Semantic Web

The 2006 Gartner emerging technology curve highlights the relevance of the Corporate Semantic Web as one of the most promising IT areas in the next five years. The work presented herein describes WEASEL, an initiative funded by Vodafone to apply and evaluate such technology in the context of a large multinational company. This scenario comprises a number of heterogeneous web sites containing unstructured and related, but physically decoupled, information which needs common models that provide unified ways of representing information across the different sources, i.e. ontologies. Three main milestones were defined for WEASEL: the creation of a domain ontology, the extraction of information from the different sources and its semantic annotation and aggregation, and the creation of a new web site containing a semantic search engine which provides natural interfaces for retrieving the aggregated information. WEASEL concluded with its evaluation by Vodafone

[S,S]-EDDS Ligand as a Soil Solubilizer of Fe, Mn, Zn, and Cu to Improve Plant Nutrition in Deficient Soils

The deficiencies of iron, manganese, zinc, and copper in calcareous soils are a worldwide problem affecting plant growth and fruit quality, usually minimized by the application of recalcitrant synthetic metal chelates. Biodegradable ligand [S,S]- EDDS is an eco-friendly substitute. This study investigates the capacity of [S,S]-EDDS to mobilize micronutrients from agronomic soils and improve plant nutrition. A batch and a plant experiment (Phaseolus vulgaris cv. Black Pole) with three agronomic soils was conducted to monitor the micronutrients solubilized by [S,S]-EDDS, the ligand degradation, and plant uptake. The results demonstrated the high capacity of [S,S]-EDDS to solubilize Fe and other micronutrients related to its chemical behavior and the enhancement of plant nutrition. The best results were shown in sandy-clay soil with low Fe, typically found in the Mediterranean areas. The results support the direct application of the ligand to soils and a possible biotechnological application of the ligandproducer bacteriaAuthors gratefully acknowledge the financial support by Spanish Ministry of Economy and Competitiveness project: RTI2018-096268-B-I00, and the Comunidad de Madrid (Spain) and Structural Funds 2014−2020 (ERDF and ESF) project AGRISOST-CM S2018/BAA-433

Charged and neutral current neutrino induced nucleon emission reactions

By means of a Monte Carlo cascade method, to account for the rescattering of the outgoing nucleon, we study the charged and neutral current inclusive one nucleon knockout reactions off nuclei induced by neutrinos. The nucleon emission process studied here is a clear signal for neutralcurrent neutrino driven reactions, and can be used in the analysis of future neutrino experiments.Nieves Pamplona,Juan Miguel, [email protected] ; Vicente Vacas, Manuel Jose, [email protected]

Detecting broken Absorber Tubes in CSP plants using intelligent sampling and dual loss

Concentrated solar power (CSP) is one of the growing technologies that is leading the process of changing from fossil fuels to renewable energies. The sophistication and size of the systems require an increase in maintenance tasks to ensure reliability, availability, maintainability and safety. Currently, automatic fault detection in CSP plants using Parabolic Trough Collector systems evidences two main drawbacks: 1) the devices in use needs to be manually placed near the receiver tube, 2) the Machine Learning-based solutions are not tested in real plants. We address both gaps by combining the data extracted with the use of an Unmaned Aerial Vehicle, and the data provided by sensors placed within 7 real plants. The resulting dataset is the first one of this type and can help to standardize research activities for the problem of fault detection in this type of plants. Our work proposes supervised machine-learning algorithms for detecting broken envelopes of the absorber tubes in CSP plants. The proposed solution takes the class imbalance problem into account, boosting the accuracy of the algorithms for the minority class without harming the overall performance of the models. For a Deep Residual Network, we solve an imbalance and a balance problem at the same time, which increases by 5% the Recall of the minority class with no harm to the F1-score. Additionally, the Random Under Sampling technique boost the performance of traditional Machine Learning models, being the Histogram Gradient Boost Classifier the algorithm with the highest increase (3%) in the F1-Score. To the best of our knowledge, this paper is the first providing an automated solution to this problem using data from operating plants

Reactive Power Limits in Distributed Generators from Generic Capability Curves

EPERLabThis paper presents a generic trapezoid-type capability curve for any distributed generation technology. This curve is used to estimate the machine reactive power limits in terms of the actual active power and terminal voltage. The proposed simplification was tested on synchronous machines, doubly fed induction generators and full power converter interfaced generators. This methodology can be implemented in Volt/VAR control schemes when the estimation of DG capability is required.UCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ingeniería Eléctric

Design of a modular energy production–storage system for a sustainable bicycle

This paper presents a new concept of a modular system for the production and storage of energy in a bicycle at any speed above 9 km/h. User-Centered Design methodology was applied to establish the design premises, and then each component of the modular system was selected, developed, and refined separately, carrying out all component integration (hub dynamo, USB charger, batteries, and solar panel) by means of a simple extension cable. Then, simulations were made with different software tools to create a design candidate. A new design of an integrated modular energy production–storage system was obtained, aiming to cover the needs of long-distance bikers and daily bike commuters. The designed system can charge its own batteries and power devices connected to the USB charger from a speed of 9 km/h. The system entails a modular integration solution that is not only cost-effective but also highly efficient. Its ergonomic design allows users to effortlessly replace batteries as and when needed. Current models on the market do not possess this integration

Using Maxwell Distribution to Handle Selector’s Indecisiveness in Choice Data: A new Latent Bayesian Choice Model

This research primarily aims at the development of new pathways to facilitate the resolving of the long debated issue of handling ties or the degree of indecisiveness precipitated in comparative information. The decision chaos is accommodated by the elegant application of the choice axiom ensuring intact utility when imperfect choices are observed. The objectives are facilitated by inducing an additional parameter in the probabilistic set up of Maxwell to retain the extent of indecisiveness prevalent in the choice data. The operational soundness of the proposed model is elucidated through the rigorous employment of Gibbs sampling—a popular approach of the Markov chain Monte Carlo methods. The outcomes of this research clearly substantiate the applicability of the proposed scheme in retaining the advantages of discrete comparative data when the freedom of no indecisiveness is permitted. The legitimacy of the devised mechanism is enumerated on multi-fronts such as the estimation of preference probabilities and assessment of worth parameters, and through the quantification of the significance of choice hierarchy. The outcomes of the research highlight the effects of sample size and the extent of indecisiveness exhibited in the choice data. The estimation efficiency is estimated to be improved with the increase in sample size. For the largest considered sample of size 100, we estimated an average confidence width of 0.0097, which is notably more compact than the contemporary samples of size 25 and 50.This research was funded by Primafrio-UPCT Cátedra

Modeling Framework and Coordination of DER and Flexible Loads for Ancillary Service Provision

Distributed energy resources and demand-response initiatives are expected to increase the flexibility of future power systems. This paper presents new models of individual photovoltaic systems, batteries, and thermostatically controlled loads that can be used to propose and validate new coordination schemes. Unlike previous works that focus on aggregate representations, these models make it possible to represent more accurately the capabilities and limitations of these resources. For demonstration purposes, the paper proposes a new coordination scheme that employs signals to individual units without having full information of their actual conditions. This low-cost scheme is able to steer the distributed units towards the desired operation. It is expected that mature versions of this type of coordinators will provide new tools and measures for system operators to face abnormal system conditions without high investment costs

Epifisiolisis cartílago trirradiado: a propósito de un caso

La epifisiolisis del cartílago trirradiado es una patología muy infrecuente que puede dar lugar a displasia acetabular y subluxación de cadera. Los primeros síntomas pueden aparecer de forma tardía, incluso algunas décadas después del traumatismo. Los factores pronóstico más importantes son la edad en el momento de la lesión y el tipo de epifisiolisis. El diagnóstico es difícil y, en algunos casos, sólo a posteriori. Se presenta un caso de epifisiolisis, tipo I de Salter y Harris o tipo I de Bucholz, en una niña de 11 años de edad que fue tratada de forma conservadora.Trirradiate cartilage epiphysiolysis is a rare disorder that can cause acetabular dysplasia and subluxation of the hip. The main prognostic factors are age and type of lesion. The disorder is difficult to diagnose and in some instances can only be diagnosed a posteriori. This paper presents a case report of Salter and Harris type I or Bucholtz type I trirradiate cartilage epiphysiolysis in an 11 year old girl who received orthopedic treatment