Browsing by Type "conference output"
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Item Absolute position calculation for a desktop mobile rehabilitation robot based on three optical mouse sensors(2011) Zabaleta, Haritz; Valencia, David; Perry, Joel; Veneman, Jan; Keller, Thierry; Tecnalia Research & InnovationArmAssist is a wireless robot for after stroke upper limb rehabilitation. In this paper, we describe a method based on artificial landmark navigation system. The navigation system is only based in three optical mouse sensors. This enables to build a cheap but reliable position sensor. Two of the sensors are the data source for odometry calculations, and the third optical mouse sensor takes very low resolution pictures of a custom designed mat. These pictures are processed by an optical symbol recognition algorithm which will estimate the orientation of the robot and recognize the landmarks placed on the mat. The data fusion strategy is described to detect the misclassifications of the landmarks in order to fuse only the reliable information. The orientation given by the OSR algorithm is used to improve significantly the odometry and the recognition of the landmarks is used to reference the odometry to a absolute coordinate systemItem Accelerated aging test of solar reflectors according to the new AENOR standard – results of a round Robin test(American Institute of Physics Inc., 2018-11-08) Fernández-García, Aránzazu; Martínez-Arcos, Lucía; Sutter, Florian; Wette, Johannes; Sallaberry, Fabienne; Erice, Raquel; Diamantino, Teresa; Carvalho, M. João; Raccurt, Olivier; Pescheux, Anne-Claire; Imbuluzqueta, Gorka; Machado, Maider; Mancilla, Rodrigo; Richter, Christoph; SISTEMAS FOTOVOLTAICOS; Tecnalia Research & InnovationDurability tests of reflector materials for concentrating solar applications are crucial to guarantee the profitability of the plants and to ensure a proper efficiency during their lifetime. A standard including a set of five accelerated aging tests is close to be published by the Spanish standardization entity AENOR, within the sub-committee AEN/CTN 206/SC117. Under the framework of the STAGE-STE project, a Round Robin Test was organized by six partners to evaluate the comparability of results obtained in their respective laboratories after performing these durability tests. According to the results, in general a good agreement among the partners was found, with negligible to slight reflectance losses. In addition, it was noticed that the reference standard used in the reflectance measurements is of high importance. The conclusions of this work will help to improve the standard in future versions.Item Adaptable Emergency Braking Based on a Fuzzy Controller and a Predictive Model(IEEE, 2018-11) Alarcon, Leonardo Gonzalez; Vaca Recalde, Myriam Elizabeth; Marcano, Mauricio; Marti, Enrique; Tecnalia Research & Innovation; CCAMThis work presents the implementation of an adaptable emergency braking system for low speed collision avoidance, based on a frontal laser scanner for static obstacle detection, using a D-GPS system for positioning. A fuzzy logic decision process performs a criticality assessment that triggers the emergency braking system and modulates its behavior. This criticality is evaluated through the use of a predictive model based on a kinematic estimation, which modulates the decision to brake. Additionally a critical study is conducted in order to provide a benchmark for comparison, and evaluate the limits of the predictive model. The braking decision is based on a parameterizable braking model tuned for the target vehicle, that takes into account factors such as reaction time, distance to obstacles, vehicle velocity and maximum deceleration. Once activated, braking force is adapted to reduce vehicle occupants discomfort while ensuring safety throughout the process. The system was implemented on a real vehicle and proper operation is validated through extensive testing carried out at Tecnalia facilities.Item Adaptation of a Branching Algorithm to Solve the Multi-Objective Hamiltonian Cycle Problem(Springer, Cham, 2020) Murua, Maialen; Galar, Diego; Santana, RobertoThe Hamiltonian cycle problem (HCP) consists of finding a cycle of length N in an N-vertices graph. In this investigation, a graph G is considered with an associated set of matrices, in which each cell in the matrix corresponds to the weight of an arc. Thus, a multi-objective variant of the HCP is addressed and a Pareto set of solutions that minimizes the weights of the arcs for each objective is computed. To solve the HCP problem, the Branch-and-Fix algorithm is employed, a specific branching algorithm that uses the embedding of the problem in a particular stochastic process. To address the multi-objective HCP, the Branch-and-Fix algorithm is extended by computing different Hamiltonian cycles and fathoming the branches of the tree at earlier stages. The introduced anytime algorithm can produce a valid solution at any time of the execution, improving the quality of the Pareto Set as time increases.Item ADAPTATION TO FLOODING EVENTS THROUGH VULNERABILITY MAPPING IN HISTORIC URBAN AREAS(2018-03-06) Gandini, Alessandra; Prieto, Iñaki; Garmendia, Leire; San-José, José Tomás; Egusquiza, Aitziber; LABORATORIO DE TRANSFORMACIÓN URBANA; Tecnalia Research & InnovationHistoric urban areas are complex and inter-reliant systems, vulnerable to natural hazards. Over the recent years, the increase frequency in extreme precipitation events and sea-level rise, have impacted on a large number of historic areas, growing concern over disaster mitigation related to climate change. Most of the changes in the climatological indicators may have adverse impacts on historic areas, leading to physical, social and cultural consequences and should be included in urban planning practice. The importance of addressing cultural heritage in disaster risk has also been included in The Sendai Framework, considering the dimensions of vulnerability, adaptive capacity and exposure through systematic evaluation. Urban planning decisions involve an understanding of complex interactions between different aspects of the city, in its constructive, social, economic, environmental and cultural system. The analysis of these interactions requires a systemic approach as the components operate on different spatial and temporal scales and generate a large amount of data. This information can be used to determine the vulnerability of historic areas by assessing it at the building level, through the creation of typologies representing the building stock, often characterized by similarities and common constructive elements. The comprehension of the information can be supported and homogenized by a multi-scale urban model, to facilitate the understanding of interactions and the link among the different disciplines involved. This paper describes the methodology proposed for vulnerability mapping in historic urban areas, by using a categorization method supported by an information strategy and a multiscale urban model.Item Added value services for EV charging management(IEEE, 2013-11) Rodríguez-Sánchez, Raúl; Vidal, Narcís; Zabala, Eduardo; Tecnalia Research & InnovationThe deployment of Electrical Vehicles (EV) is not taking place at the expected rate. Consumers’ tendency to value losses higher than gains works against electric vehicles when comparing them to traditional solutions. In this context, added value services may support business models with additional incomes, business differentiation or appealing mobility concepts. In the frame of the Green eMotion FP7 project, added value services will be proposed and their implementation in backend systems studied, in order to permit a widespread and sustainable deployment of EVs. Services and functionalities are delimited by business models defining the overall stakeholder relationship framework. Therefore, the latter will have direct influence, not only at economical level but also in technical aspects of the implementation of added value services. EV services are classified in two main groups: those provided by the EVs to the network and those provided by service providers to end-users. EVs characteristics make them especially suitable for service oriented business, while ICT solutions appear as key enablers of new sustainable mobility concepts. It is very important to decide which services and how these services need to be implemented to allow a wide range of business models to be applied. Interoperability is another essential aspect when dealing with EVs, since all systems involved in service provision should be able to communicate with each other. This will allow EV users to have transparent and efficient driving experiences, together with lower cost solutions. New advances in communication standards definition and in interoperability assessment (COTEVOS FP7 EU project) are currently going on and will tackle this challenge.Item Adopting smart meter events as key data for low-voltage network operation(2017-10-01) García Prado, Jesús; González, Ana; Riaño, Sandra; SISTEMAS FOTOVOLTAICOSA pioneering analysis of smart meter events aimed to enhance low-voltage (LV) network operation by the detection of voltage deviations, repetitive incidents or even outage prevention is presented. The main challenge of using smart meters events is the vast amount of data collected: the average of events gathered in an area per day is around 40% higher than the number of smart meters installed. To transform this huge quantity of information in network improvements, a set of strategies have been undertaken. The core purpose of this analysis is to establish a more rational and automated processing of smart meter events, aimed to embrace them as key information for network operation.Item Advances in automatic thermal model to test correlation in space industry(Texas Tech. Univeristy (TTU), 2016-07) Klement, Jan; Anglada, Eva; Garmendia, IñakiIn space industry thermal models are an important tool to predict, analyze and understand the thermal behaviour of components, subsystems and whole spacecrafts. Most parameters of these models have a limited accuracy and consequently the models results are uncertain. In order to reduce this uncertainty to a required level the model parameters are adjusted (correlated) by fitting the model to test results obtained during thermo vacuum tests. This is often a difficult long lasting manual process. In order to perform these correlations automatically many different methods have been developed and analyzed. Two of these methods are analyzed regarding their requirements, efficiency and limitations. A genetic algorithm is compared to a method based on non-linear equations solving algorithms of the Broyden class.Item Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB(IEEE, 2017-10) Alvarez-Gila, Aitor; Van de Weijer, Joost; Garrote, Estibaliz; Tecnalia Research & Innovation; QuantumHyperspectral signal reconstruction aims at recovering the original spectral input that produced a certain trichromatic (RGB) response from a capturing device or observer. Given the heavily underconstrained, non-linear nature of the problem, traditional techniques leverage different statistical properties of the spectral signal in order to build informative priors from real world object reflectances for constructing such RGB to spectral signal mapping. However, most of them treat each sample independently, and thus do not benefit from the contextual information that the spatial dimensions can provide. We pose hyperspectral natural image reconstruction as an image to image mapping learning problem, and apply a conditional generative adversarial framework to help capture spatial semantics. This is the first time Convolutional Neural Networks -and, particularly, Generative Adversarial Networks- are used to solve this task. Quantitative evaluation shows a Root Mean Squared Error (RMSE) drop of 44.7% and a Relative RMSE drop of 47.0% on the ICVL natural hyperspectral image dataset.Item The AFarCloud ECSEL Project(IEEE, 2019-10) Castillejo, Pedro; Curuklu, Baran; Fresco, Roberto; Johansen, Gorm; Bilbao-Arechabala, Sonia; Martinez-Rodriguez, Belen; Pomante, Luigi; Martinez-Ortega, Jose-Fernan; Santic, Marco; Konofaos, Nikos; Kitsos, Paris; Tecnalia Research & Innovation; BIGDATAFarming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate identification and proper quantification of pathogens affecting plant and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate FARming in the CLOUD) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision-making solutions based on big data and real-time data mining techniques.Item Aggregation of thermostatically controlled loads for flexibility markets(AIM, 2019-06) Jimeno, Joseba; Ruiz, Nerea; Madina, CarlosThis paper presents a tool for an aggregator of thermostatically controlled loads (TCLs) to optimally combine their flexibilities into a few representative bids to be submitted to flexibility markets. The tool employs a “bottom-up” approach based on physical end-use load models, being the individual flexibility of each individual TCL simulated with a second-order thermal model describing the dynamics of the house. The approach is based on a direct load control (DLC) of thermostat temperature set-point by the aggregator. End-users receive an economic compensation in exchange for the loss of comfort. The applicability of the proposed model is demonstrated in a simulation case study based on an actual power system in Spain.Item Algorithm development for night charging electric vehicles optimization in big data applications(2017) Alvaro-Hermana, Roberto; Fraile-Ardanuy, Jesús; Merino, Julia; Tecnalia Research & InnovationIn this paper a night charging method that optimizes the recharging process of electric vehicles (EVs) depending on hourly energy price in a peer to peer (P2P) energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.Item AMASS: A Large-Scale European Project to Improve the Assurance and Certification of Cyber-Physical Systems: A Large-Scale European Project to Improve the Assurance and Certification of Cyber-Physical Systems(Springer Nature, 2019) de la Vara, Jose Luis; Parra, Eugenio; Ruiz, Alejandra; Gallina, Barbara; Franch, Xavier; Männistö, Tomi; Martínez-Fernández, Silverio; QuantumMost safety-critical systems must undergo assurance and certification processes. The associated activities can be complex and labour-intensive, thus practitioners need suitable means to execute them. The activities are further becoming more challenging as a result of the evolution of the systems towards cyber-physical ones, as these systems have new assurance and certification needs. The AMASS project (Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems) tackled these issues by creating and consolidating the de-facto European-wide open tool platform, ecosystem, and self-sustainable community for assurance and certification of cyber-physical systems. The project defined a novel holistic approach for architecture-driven assurance, multi-concern assurance, seamless interoperability, and cross- and intra-domain reuse of assurance assets. AMASS results were applied in 11 industrial case studies to demonstrate the reduction of effort in assurance and certification, the reduction of (re)certification cost, the reduction of assurance and certification risks, and the increase in technology harmonisation and interoperability.Item ANALISIS DE RIESGOS DE CIBERSEGURIDAD EN ARQUITECTURA DE VEHICULOS AUTOMATIZADOS(2018) González, Leonardo; Vaca, Myriam; Lattarulo, Ray A.; Calvo, Isidro; Perez, Joshue; Ruiz, AlejandraLos vehiculos conectados y automatizados han sido recientemente concebidos como entes ci- berf sicos, estrechamente relacionados con la red del Internet de las cosas (IoT). Este hecho supone un incremento en la super cie de ataque del veh culo, que junto a la creciente tendencia hacia veh culos automatizados, hacen que estos riesgos de ciberseguridad puedan tener conse- cuencias catastr o cas en seguridad vial. En el presente trabajo se expone un an alisis de riesgos de ciberseguridad en el marco de una arquitectura de veh culos automatizados. Este an alisis previo se realiza en el contexto de dos escenarios de estudio en maniobras cooperativas. Inicialmente se presenta un estado del arte de la ciberseguridad en automoci on, as como tambi en su repercusi on en entornos automatizados, haciendo especialenfasis en las comunicaciones entre veh culos y con infraestructura. Adem as, se analizan dos maniobras cooperativas, y se ilustran una serie de posibles ataques en la plataforma.Item Analysis and Control of Induced Stress in Cast Parts(European Investment Casters’ Federation, 2009-05) Meléndez, Antton; Anglada, EvaThe objective of this work is to provide an overview about the current possibilities of the application of thermo-structural simulation in the metal casting process, using a commercial casting software. It explores the potential benefits and identifies the main difficulties.Item Analysis of building energy upgrade technologies for implementing the dual energy efficiency and demand response scheme for non-residential buildings(2019-09) Macías, Olga; Noyé, Sarah; Tellado, Nagore; Torrens, Ignacio; de Agustin-Camacho, Pablo; Tsagkrasoulis, Dimosthenis; Bucur, Mircea; Southernwood, Jo; Tecnalia Research & InnovationThe continuous growth of renewable energy and the transition to a more de-centralised electricity generation adds significant complexity to balance power supply and demand in the grid. These imbalances are partially compensated by demand response programs, which represent a new business opportunity in the building sector, especially for ESCOs. Including demand response to their traditional energy efficiency-based business model adds an additional revenue stream that could potentially shorten payback periods of energy renovation projects. This paper introduces this new dual-services business model, and evaluates the potential suitability of HVAC, generation and storage technologies to ensure proposed energy efficiency and flexibility goals.Item Analysis of multivariate stochastic signals sampled by on-line particle analyzers: Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS): Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS)(2015-05-26) López de Ipiña, J.M.; Vaquero-Moralejo, Celina; Gutierrez-Cañas, C.; Pui, D.Y.H.; Tecnalia Research & Innovation; SMART_MON; PRINTEXIn multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzersin industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed.Item Analysis of the applicability of the IEEE 2030.8 standard for testing a microgrid control system(CIGRE, 2021) Jimeno, Joseba; Merino, Julia; Perez-Basante, Angel; Gil-de-Muro, AsierTo coordinate the operation of the different generating units, storage systems and loads belonging to a microgrid, typically a Microgrid Control System (MGCS) is needed. This MGCS defines the set points to be delivered to the controllable devices to guarantee the appropriate operation of the microgrid both from the technical and the economic perspectives. The MGCS must be able to operate the microgrid in islanded mode, grid-connected, and withstand the transitions between the two operatingmodes. Recently two international standards have been approved dealing with microgrid con-trollers, “IEEE 2030.7-2017 – IEEE Standard for the Specification of Microgrid Control-ler” and “IEEE 2030.8-2018 - IEEE Standard for the Testing of Microgrid Controllers”.Item Analysis of the upward direct chill casting of magnesium alloys(Curran Associates, 2006) Landaberea, A.; Pedros, P.; Anglada, E.; Garmendia, I.; CIRMETALThe upward direct chill casting, where the continuous casting is operated vertically against gravity, is a novel technology which has been applied to the production of high quality magnesium alloys circumventing the main disadvantages of using conventional continuous casting processes, since the risks of burning and explosion are practically eliminated. This represents a key aspect to increase the industrial application of magnesium wrought products. In order to help on the understanding of the process, a mathematical model for the simulation of the upward continuous casting of round billets of magnesium alloys has been developed. The equations for the flow field with heat transfer are numerically solved by a finite volume method and the solidification is accounted via an enthalpy-porosity formulation where the mushy region is modeled as a pseudo porous medium. The obtained temperature distribution is then used as input for a thermo-mechanical analysis to determine the deformation and stress field developed in the billet during the casting process. Several configurations have been simulated and comparison of computed results with available experimental data is provided.Item Application of full-reference video quality metrics in IPTV(IEEE, 2017-07-20) Sedano, Inigo; Prieto, Gorka; Brunnstrom, Kjell; Kihl, Maria; Montalban, Jon; FACTORYExecuting an accurate full-reference metric such as VQM can take minutes in an average computer for just one user. Therefore, it can be unfeasible to analyze all the videos received by users in an IPTV network for example consisting of 10.000 users using a single computer running the VQM metric. One solution can be to use a lightweight no-reference metrics in addition to the full-reference metric mentioned. Lightweight no-reference metrics can be used for discarding potential situations to evaluate because they are accurate enough for that task, and then the full-reference metric VQM can be used when more accuracy is needed. The work in this paper is focused on determining the maximum number of situations/users that can be analyzed simultaneously using the VQM metric in a computer with good performance. The full-reference metric is applied on the transmitter using a method specified in the recommendation ITU BT.1789. The best performance achieved was 112.8 seconds per process.