Browsing by Keyword "Project ID"
Now showing 1 - 20 of 546
Results Per Page
Sort Options
Item 3D additive manufactured composite scaffolds with antibiotic-loaded lamellar fillers for bone infection prevention and tissue regeneration(2021-04) Cámara-Torres, María; Duarte, Stacy; Sinha, Ravi; Egizabal, Ainhoa; Álvarez, Noelia; Bastianini, Maria; Sisani, Michele; Scopece, Paolo; Scatto, Marco; Bonetto, Alessandro; Marcomini, Antonio; Sanchez, Alberto; Patelli, Alessandro; Mota, Carlos; Moroni, Lorenzo; Biomateriales; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓNBone infections following open bone fracture or implant surgery remain a challenge in the orthopedics field. In order to avoid high doses of systemic drug administration, optimized local antibiotic release from scaffolds is required. 3D additive manufactured (AM) scaffolds made with biodegradable polymers are ideal to support bone healing in non-union scenarios and can be given antimicrobial properties by the incorporation of antibiotics. In this study, ciprofloxacin and gentamicin intercalated in the interlamellar spaces of magnesium aluminum layered double hydroxides (MgAl) and α-zirconium phosphates (ZrP), respectively, are dispersed within a thermoplastic polymer by melt compounding and subsequently processed via high temperature melt extrusion AM (~190 °C) into 3D scaffolds. The inorganic fillers enable a sustained antibiotics release through the polymer matrix, controlled by antibiotics counterions exchange or pH conditions. Importantly, both antibiotics retain their functionality after the manufacturing process at high temperatures, as verified by their activity against both Gram + and Gram - bacterial strains. Moreover, scaffolds loaded with filler-antibiotic do not impair human mesenchymal stromal cells osteogenic differentiation, allowing matrix mineralization and the expression of relevant osteogenic markers. Overall, these results suggest the possibility of fabricating dual functionality 3D scaffolds via high temperature melt extrusion for bone regeneration and infection prevention.Item 3D cell cultures as prospective models to study extracellular vesicles in cancer(2021-01-15) Bordanaba-Florit, Guillermo; Madarieta, Iratxe; Olalde, Beatriz; Falcón-Pérez, Juan M.; Royo, Félix; BiomaterialesThe improvement of culturing techniques to model the environment and physiological conditions surrounding tumors has also been applied to the study of extracellular vesicles (EVs) in cancer research. EVs role is not only limited to cell-to-cell communication in tumor physiology, they are also a promising source of biomarkers, and a tool to deliver drugs and induce antitumoral activity. In the present review, we have addressed the improvements achieved by using 3D culture models to evaluate the role of EVs in tumor progression and the potential applications of EVs in diagnostics and therapeutics. The most employed assays are gel-based spheroids, often utilized to examine the cell invasion rate and angiogenesis markers upon EVs treatment. To study EVs as drug carriers, a more complex multicellular cultures and organoids from cancer stem cell populations have been developed. Such strategies provide a closer response to in vivo physiology observed responses. They are also the best models to understand the complex interactions between different populations of cells and the extracellular matrix, in which tumor-derived EVs modify epithelial or mesenchymal cells to become protumor agents. Finally, the growth of cells in 3D bioreactor-like systems is appointed as the best approach to industrial EVs production, a necessary step toward clinical translation of EVs-based therapy.Item 3D numerical simulation of slope-flexible system interaction using a mixed FEM-SPH model(2021) Jimenez Fernandez, Jose Carlos; Castanon-Jano, Laura; Gaute Alonso, Alvaro; Blanco-Fernandez, Elena; Gonzalez Fernandez, Juan Carlos; Centeno Gonzalez, Victor; Castro-Fresno, Daniel; Garcia-Sanchez, David; Tecnalia Research & Innovation; E&I SEGURAS Y RESILIENTESFlexible membranes are light structures anchored to the ground that protect infrastructures or dwellings from rock or soil sliding. One alternative to design these structures is by using numerical simulations. However, very few models were found until date and most of them are in 2D and do not include all their components. This paper presents the development of a numerical model combining Finite Element Modelling (FEM) with Smooth Particle Hydrodynamics (SPH) formulation. Both cylindrical and spherical failure of the slope were simulated. One reference geometry of the slope was designed and a total of 21 slip circles were calculated considering different soil parameters, phreatic level position and drainage solutions. Four case studies were extracted from these scenarios and simulated using different dimensions of the components of the system. As a validation model, an experimental test that imitates the soil detachment and its retention by the steel membrane was successfully reproduced.Item AC Magnetron Sputtering: An Industrial Approach for High-Voltage and High-Performance Thin-Film Cathodes for Li-Ion Batteries(2021-05-21) Rikarte, Jokin; Madinabeitia, Iñaki; Baraldi, Giorgio; Fernández-Carretero, Francisco José; Bellido-González, Víctor; García-Luis, Alberto; Muñoz-Márquez, Miguel Ángel; Fernández‐Carretero, Francisco José; Bellido‐González, Víctor; García‐Luis, Alberto; Muñoz‐Márquez, Miguel Ángel; TECNOLOGÍAS DE HIDRÓGENOIndustrial-oriented mid-frequency alternating current (MF-AC) magnetron sputtering technique is used to fabricate LiNi0.5Mn1.5O4 high-voltage thin-film cathodes. Films are deposited on bare stainless-steel substrate at room temperature and then annealed to induce crystallization in disordered spinel phase. In situ X-ray diffraction is used to follow film structural evolution from room temperature to 900 °C. Scanning electron microscopy, X-ray photoelectron spectroscopy, and Raman spectroscopy are used to study the evolution with temperature of film morphology, surface chemical composition, and crystal structure arrangement, respectively. Film structure evolves almost continuously in the studied temperature range. A pattern corresponding to spinel phase is observed after annealing at 600 °C, while poor crystallization is obtained for lower temperatures, and additional unwanted phase changes are observed for higher temperatures. Cyclic voltammetry, rate capability, and cycling performance of fabricated films are tested. Only the film annealed at 600 °C shows redox peaks corresponding to Ni oxidation from 2+ to 3+ and 3+ to 4+ oxidation states, confirming that this film crystallizes in disordered spinel phase. The thin-film cathode shows good rate performance and outstanding cyclability, despite the impurities formed upon electrolyte decomposition at high voltage.Item 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 Accuracy and Surface Quality Improvements in the Manufacturing of Ti-6Al-4V Parts Using Hot Single Point Incremental Forming(2019-06) Ortiz, Mikel; Penalva, Mariluz; Iriondo, Edurne; López de Lacalle, Luis Norberto; FABRIC_INTELThe present work focuses on the manufacturing of Ti-6Al-4V parts using hot single point incremental forming (SPIF), a non-conventional forming technology mainly oriented toward the fabrication of prototypes, spare parts, or very low volume series. In the used procedure, the entire sheet is heated and kept at uniform temperature while the tool incrementally forms the part, with the limited accuracy of the obtained parts being the major drawback of the process. Thus, this work proposes two approaches to improve the geometric accuracy of Ti-6Al-4V SPIF parts: (i) correct the tool path by applying an intelligent process model (IPM) that counteracts deviations associated with the springback, and (ii) skip overforming deviations associated with the deflection of the sheet along the perimeter of the part based on a design improvement. For this purpose, a generic asymmetric design that incorporates features of a typical aerospace Ti-6Al-4V part is used. The results point out the potential of both solutions to significantly improve the accuracy of the parts. The application of the IPM model leads to an accuracy improvement up to 49%, whereas a 25.4% improvement can be attributed to the addendum introduction. The geometric accuracy study includes the two finishing operations needed to obtain the part, namely decontamination and trimming.Item Achievements of European projects on membrane reactor for hydrogen production(2017-09-10) Di Marcoberardino, Gioele; Binotti, Marco; Manzolini, Giampaolo; Viviente, José Luis; Arratibel, Alba; Roses, Leonardo; Gallucci, Fausto; TECNOLOGÍA DE MEMBRANAS E INTENSIFICACIÓN DE PROCESOSMembrane reactors for hydrogen production can increase both the hydrogen production efficiency at small scale and the electric efficiency in micro-cogeneration systems when coupled with Polymeric Electrolyte Membrane fuel cells. This paper discusses the achievements of three European projects (FERRET, FluidCELL, BIONICO) which investigate the application of the membrane reactor concept to hydrogen production and micro-cogeneration systems using both natural gas and biofuels (biogas and bio-ethanol) as feedstock. The membranes, used to selectively separate hydrogen from the other reaction products (CH4, CO2, H2O, etc.), are of asymmetric type with a thin layer of Pd alloy (<5 μm), and supported on a ceramic porous material to increase their mechanical stability. In FERRET, the flexibility of the membrane reactor under diverse natural gas quality is validated. The reactor is integrated in a micro-CHP system and achieves a net electric efficiency of about 42% (8% points higher than the reference case). In FluidCELL, the use of bio-ethanol as feedstock for micro-cogeneration Polymeric Electrolyte Membrane based system is investigated in off-grid applications and a net electric efficiency around 40% is obtained (6% higher than the reference case). Finally, BIONICO investigates the hydrogen production from biogas. While BIONICO has just started, FERRET and FluidCELL are in their third year and the two prototypes are close to be tested confirming the potentiality of membrane reactor technology at small scale.Item Achievements, experiences, and lessons learned from the European research infrastructure ERIGrid related to the validation of power and energy systems(2020-11-09) Strasser, T. I.; de Jong, E. C. W.; Sosnina, M.; Rodriguez-Seco, J. E.; Kotsampopoulos, P.; Babazadeh, D.; Mäki, K.; Bhandia, R.; Brandl, R.; Sandroni, C.; Heussen, K.; Coffele, F.; POWER SYSTEMSPower system operation is of vital importance and must be developed far beyond today’s practice to meet future needs. Almost all European countries are facing an abrupt and very important increase of renewables with intrinsically varying yields which are difficult to predict. In addition, an increase of new types of electric loads and a reduction of traditional production from bulk generation can be observed as well. Hence, the level of complexity of system operation steadily increases. Because of these developments, the traditional power system is being transformed into a smart grid. Previous and ongoing research has tended to focus on how specific aspects of smart grids can be developed and validated, but until now there exists no integrated approach for analysing and evaluating complex smart grid configurations. To tackle these research and development needs, a pan-European research infrastructure is realized in the ERIGrid project that supports the technology development as well as the roll-out of smart grid technologies and solutions. This paper provides an overview of the main results of ERIGrid which have been achieved during the last four years. Also, experiences and lessons learned are discussed and an outlook to future research needs is provided. © 2020, CIGRE - Reprint from www.cigre.org with kind permission.Item Activating inclusive growth in railway SMEs by workplace innovation(2020-09) Carranza, Garazi; Garcia, Marta; Sanchez, Begoña; Policies for Innovation and TechnologyThe digital revolution is happening, transforming the way we move and produce. Success in the digital revolution means that the rail industries need to use the best available technologies focusing on people. The managerial and organizational practices adopted by railway entities have considerable significance for Railway's ability to succeed in global competition. One of the challenges for railway entities is to deliver innovative products, offering quickness and flexibility to respond to changing demands from their customers. Non-technological innovations and especially Workplace innovation, have a key role to play in the digitalization and acceleration of technological developments, therefore in the railway sector competitiveness. This draws attention to the importance of innovation climate and employees' commitment aiming at improving staff motivation and working conditions, thereby enhancing labor productivity, organizational performance, innovation capability, reactivity to market change, and consequently business competitiveness. As with any emerging opportunity, there is no established path to follow to activate inclusive growth in railway SMEs to uptake Workplace innovation. To address these issues, this paper develops and tests a research model that covers individual behavior, organizational practices, and process practices of innovation among employees, analyzing the impact of Workplace Innovation on firm performance.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 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 Additive Manufactured Scaffolds for Bone Tissue Engineering: Physical Characterization of Thermoplastic Composites with Functional Fillers: Physical Characterization of Thermoplastic Composites with Functional Fillers(2021-08-13) Sinha, Ravi; Sanchez, Alberto; Camara-Torres, Maria; Uriszar-Aldaca, Iñigo Calderon; Calore, Andrea Roberto; Harings, Jules; Gambardella, Ambra; Ciccarelli, Lucia; Vanzanella, Veronica; Sisani, Michele; Scatto, Marco; Wendelbo, Rune; Perez, Sergio; Villanueva, Sara; Matanza, Amaia; Patelli, Alessandro; Grizzuti, Nino; Mota, Carlos; Moroni, Lorenzo; ECOEFICIENCIA DE PRODUCTOS DE CONSTRUCCIÓN; Tecnalia Research & InnovationThermoplastic polymer–filler composites are excellent materials for bone tissue engineering (TE) scaffolds, combining the functionality of fillers with suitable load-bearing ability, biodegradability, and additive manufacturing (AM) compatibility of the polymer. Two key determinants of their utility are their rheological behavior in the molten state, determining AM processability and their mechanical load-bearing properties. We report here the characterization of both these physical properties for four bone TE relevant composite formulations with poly(ethylene oxide terephthalate)/poly(butylene terephthalate (PEOT/PBT) as a base polymer, which is often used to fabricate TE scaffolds. The fillers used were reduced graphene oxide (rGO), hydroxyapatite (HA), gentamicin intercalated in zirconium phosphate (ZrP-GTM) and ciprofloxacin intercalated in MgAl layered double hydroxide (MgAl-CFX). The rheological assessment showed that generally the viscous behavior dominated the elastic behavior (G″ > G′) for the studied composites, at empirically determined extrusion temperatures. Coupled rheological–thermal characterization of ZrP-GTM and HA composites showed that the fillers increased the solidification temperatures of the polymer melts during cooling. Both these findings have implications for the required extrusion temperatures and bonding between layers. Mechanical tests showed that the fillers generally not only made the polymer stiffer but more brittle in proportion to the filler fractions. Furthermore, the elastic moduli of scaffolds did not directly correlate with the corresponding bulk material properties, implying composite-specific AM processing effects on the mechanical properties. Finally, we show computational models to predict multimaterial scaffold elastic moduli using measured single material scaffold and bulk moduli. The reported characterizations are essential for assessing the AM processability and ultimately the suitability of the manufactured scaffolds for the envisioned bone regeneration application.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 An Advanced Technological Lightweighted Solution for a Body in White(2016) Cischino, Elena; Di Paolo, Francesca; Mangino, Enrico; Pullini, Daniele; Elizetxea, Cristina; Maestro, Cesar; Alcalde, Estibaliz; Christiansen, Jesper deClaville; POLIMEROSFunded by the EC FP7 Program, EVolution project is using the Pininfarina Nido concept car as a baseline for its activities, with the goal to demonstrate the sustainable production of a full electric 600 kg vehicle (FEV). The project has to be finalized by the end of 2016. The existing Body in White (BiW) has been completely reviewed through a design strategy aiming to reduce the number of parts and using innovative lightweight materials and technologies. The considered Al technologies applied on high performances Al alloys provide the opportunities to obtain components with complex geometries and low thickness, merging different parts into one unique element. Besides, it is possible to process a variable thickness element with a single operation. A “green sand mold” technique allows co-casted joints among elements produced with different Al manufacturing processes. The potential cost reduction and process simplification in terms of time and assembly are promising: current state-of-the-art, based on traditional moulds, does not allow these opportunities. The BiW has been hybridized in certain areas of the underbody with a composite material of the PA family, reinforced with GF. This material has been obtained improving existing ones and developing a production process suitable for scaling to commercial requirements, throughout an advanced sheet thermoforming and 3D-injection method (CaproCAST process). Novel polypropylene nanocomposites (PNC) based on silicate and glass fiber layers demonstrate improved toughness and stiffness and have been selected for crash cross beam and side door. Polyurethane foams based on recycled polymers are explored as sustainable energy-absorbing filling in cross beam sections. Structural epoxy adhesives have been considered to join the BiW parts and welding points are reduced in number: in certain areas spot-welds have been used only to tack the parts during polymerization. In addition to the previous results, current weight of the BiW is 115 kg versus 160 kg of the baseline car. An FE-analysis on the virtual full vehicle indicates a good structural behavior, considering EU standards of crash homologation and global static and dynamic performances. The developed architecture and the integration of lightweight materials will ensure that the EU maintains its competitiveness against the Asian and United States automobile industries. This topic is focused on the results obtained on the BiW in terms of design strategies, Al and composite materials innovative technologies and joining methods.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 Aggregate Farming in the Cloud: The AFarCloud ECSEL project: The AFarCloud ECSEL project(2020-10) Castillejo, Pedro; Johansen, Gorm; Cürüklü, Baran; Bilbao-Arechabala, Sonia; Fresco, Roberto; Martinez-Rodriguez, Belen; Pomante, Luigi; Rusu, Cristina; Martínez-Ortega, José-Fernán; Centofanti, Carlo; Hakojärvi, Mikko; Santic, Marco; Häggman, Johanna; 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 monitoring of soil and crop properties 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 labor costs. Moreover, such a platform can be integrated with farm management software to 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(2019-06) Jimeno, Joseba; Ruiz, Nerea; Madina, Carlos; POWER SYSTEMSThis 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 AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus(2022-02-24) Zhou, Xi; Ye, Qinghao; Yang, Xiaolin; Chen, Jiakun; Ma, Haiqin; Xia, Jun; Del Ser, Javier; Yang, Guang; IABased on CT and MRI images acquired from normal pressure hydrocephalus (NPH) patients, using machine learning methods, we aim to establish a multimodal and high-performance automatic ventricle segmentation method to achieve an efficient and accurate automatic measurement of the ventricular volume. First, we extract the brain CT and MRI images of 143 definite NPH patients. Second, we manually label the ventricular volume (VV) and intracranial volume (ICV). Then, we use the machine learning method to extract features and establish automatic ventricle segmentation model. Finally, we verify the reliability of the model and achieved automatic measurement of VV and ICV. In CT images, the Dice similarity coefficient (DSC), intraclass correlation coefficient (ICC), Pearson correlation, and Bland–Altman analysis of the automatic and manual segmentation result of the VV were 0.95, 0.99, 0.99, and 4.2 ± 2.6, respectively. The results of ICV were 0.96, 0.99, 0.99, and 6.0 ± 3.8, respectively. The whole process takes 3.4 ± 0.3 s. In MRI images, the DSC, ICC, Pearson correlation, and Bland–Altman analysis of the automatic and manual segmentation result of the VV were 0.94, 0.99, 0.99, and 2.0 ± 0.6, respectively. The results of ICV were 0.93, 0.99, 0.99, and 7.9 ± 3.8, respectively. The whole process took 1.9 ± 0.1 s. We have established a multimodal and high-performance automatic ventricle segmentation method to achieve efficient and accurate automatic measurement of the ventricular volume of NPH patients. This can help clinicians quickly and accurately understand the situation of NPH patient’s ventricles.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, Alejandra; CCAM; QuantumLos 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.