Modelling uncertainty for leak localization in Water Networks

The performance and success of model-based leak localization methods applied to water distribution networks (WDN) highly depends on the uncertainty of the system considered. This work proposes an original method of modeling the effect of uncertainties in these networks. The proposed method is based on the collection of real data in the water network in the absence of leaks. The discrepancy (residual) between the measured data and the one provided by a simulator of the network in normal operation is used to extrapolate the possible residuals in the different leak scenarios. In addition, indicators for assessing the effect of uncertainty in the performance of leak localization methods based on residual correlation analysis are provided. The error in terms of correlation intervals and leak localzation assessment between the proposed approximation and the real one is studied by means a simplified model of the WDN of Hanoi (Vietnam).Postprint (published version

Robust optimization based energy dispatch in smart grids considering demand uncertainty

In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a hybrid power system connected to an electrical power grid. Furthermore, to demonstrate the superiority of the standard Economic MPC over the MPC tracking, a comparison (e.g average daily cost) between the standard MPC tracking, the standard Economic MPC, and the integration of both in one-layer and two-layer approaches was carried out. The goal of this research is to design a controller based on Economic MPC strategies, that tackles uncertainties, in order to minimise economic costs and guarantee service reliability of the system.Postprint (author's final draft

Fault tolerant model predictive control of open channels

Automated control of water systems (irrigation canals, navigation canals, rivers etc.) relies on the measured data. The control action is calculated, in case of feedback controller, directly from the on-line measured data. If the measured data is corrupted, the calculated control action will have a different effect than it is desired. Therefore, it is crucial that the feedback controller receives good quality measurement data. On-line fault detection techniques can be applied in order to detect the faulty data and correct it. After the detection and correction of the sensor data, the controller should be able to still maintain the set point of the system. In this paper this principle using the sensor fault masking is applied to model predictive control of open channels. A case study of a reach of the northwest of the inland navigation network of France is presented. Model predictive control and water level sensor masking is applied.Peer ReviewedPostprint (published version

Computación en Internet: librería MALLBA para problemas de optimización.

Postprint (published version

Roberto Equisoain: La biblioteca de la sala de lectura sin lectura

Among other productions, the work of Roberto Equisoain includes a set of books of a singular strangeness. A strangeness that arises from the appropriation of texts from others who are subjected to unique text treatments, to different rewriting strategies, which returns them as new texts, while invoking the appropriate ones, to the field of reading. A reading that, in several cases, is problematic when not unreadable. Books, then, that put the concept of book in crisisEntre otros trabajos, la obra de Roberto Equisoain incluye un conjunto de libros de una singular extrañeza. Una extrañeza que surge de la apropiación de textos de otros que son sometidos a singulares tratamientos de texto, a diferentes estrategias de reescritura, que los devuelve como textos nuevos, al tiempo que invocan los apropiados, al ámbito de la lectura. Una lectura que, en varios de los casos, se presenta como problemática cuando no ilegible. Libros, pues, que ponen el concepto de libro en crisi

Cognición animal : ¿los perros nos "leen la cara"? : un estudio preliminar sobra la discriminación de expresiones emocionales en perros

19 páginas.Trabajo fin de Máster en Intervención Asistida con Animales (2015-2016). Tutores: Rafael Martos Montes, Carlos Alonso López García. El objetivo principal de este trabajo de fin de máster es poner a prueba la tarea de igualación a la muestra como procedimiento para explorar las capacidades de los perros para identificar y distinguir emociones en las personas a través de expresiones faciales. Para ello se cogió a un único participante, Dune, un perro Golden Retriever de 6 años, previamente entrenado, a la que se le pasó esta tarea de igualación a la muestra. En dicha prueba, se le mostró al perro una imagen de muestra con cara de felicidad o tristeza y tenía que tocar la cara con la misma expresión emocional entre dos imágenes de prueba. Los resultados mostraron un 63.9% de aciertos, lo que podría indicar que el perro puede distinguir entre imágenes de tristeza y alegría. Sin embargo, debido a que solamente se ha utilizado un animal y los resultados son próximos al nivel de azar (50%) no se puede generalizar estos resultados.The main objective of this final Master’s Thesis is to prove the matching to sample task like a process to explorer the capacity of the dogs identifying and discriminating emotions in people thought facial expressions. To do this we took only one participant, Dune, a 6 years old Golden Retriever dog, previously trained, which it was pass the matching to sample task. In this task we show a sample image with a face of happiness or disgust to the dog and it had to touch the face with the same emotional expression between two images. Results shown a 63.9% of correct answers, which could indicate that the dog can distinguish between happiness and disgust images. However, because of we just use one animal and the results are close to the chance level (50%), we cannot generalize these results

Global board games project:a cross-border entrepreneurship experiential learning initiative

Entrepreneurship training and development in the context of higher education has grown tremendously over the past four decades. What began as offerings of a handful of courses aimed primarily at business planning and small business management has evolved into over 3.000 higher education institutions around the world offering degree programs and concentrations in entrepreneurship on both undergraduate and graduate levels (Morris, Kuratko and Cornwall, 2013). Universities – particularly in the USA, UK and EU – have invested into developing entrepreneurship curricula but also extra-curricular programs and infrastructure aimed at supporting enterprise development. It is consensus among educators that entrepreneurship can be taught (Kuratko, 2005). Indeed, entrepreneurship education research has become a field in its own right (Fayolle, Gailly and Lassas‐Clerc, 2006; Pittaway and Cope, 2007; Penaluna, Penaluna and Jones, 2012; Fayolle, 2013; Fayolle and Gailly, 2015; Pittaway et al., 2015; Nabi et al., 2017). As literature indicates, entrepreneurship education can have an important impact on a variety of outcomes, including entrepreneurial intentions and behaviours. Intentions are a motivation to engage in certain behaviour that is geared towards venture creation (Gibb, 2008, 2011) as well as recognition and exploitation of opportunities (Shane and Venkataraman, 2000). Moreover, research has also identified the impact of entrepreneurship education on more subjective indicators such as attitudes (Boukamcha, 2015), perceived feasibility (Rauch and Hulsink, 2015), and skills and knowledge (Greene and Saridakis, 2008). Recently, the literature on the best practices in entrepreneurship education has centred on the importance of experiential learning allowing students to create knowledge from their interactions with the environment (Kolb, 1984). The key to effective experiential learning is engaging students individually and socially in a situation that enables them to interact with elements of the entrepreneurial context thus moving them away from text-driven to action-driven learning mode (Morris, Kuratko and Cornwall, 2013). Increasingly, digital technologies have been leveraged to create a learning environment that provides opportunities for experiential learning (Onyema and Daniil, 2017). This chapter provides findings of a study related to the development and implementation of a collaborative, digitally supported simulation project aimed at enhancing entrepreneurial social skills in an international context

Zambrano-Nietzsche: La genealogía de la razón

Ante el intento de trazar divergencias y convergencias entre el pensamiento de Zambrano y Nietzsche, en este artículo se abordará la cuestión de la crítica zambraniana a la forma sistemática de la filosofía moderna. Dicha crítica nos permitirá apreciar el empleo que hace Zambrano del método genealógico nietzscheano en su definición y rechazo del sistema como estructura racional.Ante el intento de trazar divergencias y convergencias entre el pensamiento de Zambrano y Nietzsche, en este artículo se abordará la cuestión de la crítica zambraniana a la forma sistemática de la filosofía moderna. Dicha crítica nos permitirá apreciar el empleo que hace Zambrano del método genealógico nietzscheano en su definición y rechazo del sistema como estructura racional.In view of trying to trace the divergences and convergences between Zambrano’s and Nietzsche’s thought, this article will focus on the critique of Zambrano to the systematic form of the modern philosophy. That criticism will allow us to appreciate the use that Zambrano makes of the Nietzschean genealogical method in her definition and rejection of the system as a rational structure

Large neighborhood search for the most strings with few bad columns problem

In this work, we consider the following NP-hard combinatorial optimization problem from computational biology. Given a set of input strings of equal length, the goal is to identify a maximum cardinality subset of strings that differ maximally in a pre-defined number of positions. First of all, we introduce an integer linear programming model for this problem. Second, two variants of a rather simple greedy strategy are proposed. Finally, a large neighborhood search algorithm is presented. A comprehensive experimental comparison among the proposed techniques shows, first, that larger neighborhood search generally outperforms both greedy strategies. Second, while large neighborhood search shows to be competitive with the stand-alone application of CPLEX for small- and medium-sized problem instances, it outperforms CPLEX in the context of larger instances.Peer ReviewedPostprint (author's final draft