5,309 research outputs found
Caracterización de un detector GMX para medidas de radiactividad ambiental
No full textConsulta en la Biblioteca ETSI Industriales (6289)[ES] En un Laboratorio de Radiactividad Ambiental se analizan muestras de diversos productos para determinar la actividad que contienen.
Uno de los métodos más habitualmente empleados con esta finalidad es la espectrometría gamma, que consiste en la determinación de los radionucleidos presentes en una muestra y de su actividad mediante el análisis de las radiaciones gamma que emiten.
Debido a la baja actividad de las muestras que se manejan en Radiactividad Ambiental, es común el uso de detectores de germanio de alta pureza (HPGe) en este tipo de análisis. Dentro de este tipo de detectores de germanio, se encuentran los detectores GMX, uno de los cuales será objeto de estudio en este proyecto. Estos detectores se caracterizan por presentar una elevada eficiencia en el intervalo de bajas energías.Fernández Ochando, C. (2007). Caracterización de un detector GMX para medidas de radiactividad ambiental. https://riunet.upv.es/handle/10251/35801.Archivo delegad
Implementación de aceleradores OpenCL sobre FPGA de funciones básicas necesarias en algoritmos utilizados en "deep learning"
No full textEn los algoritmos utilizados en "deep learning", como es el caso de las "Convolution neural networks", se utilizan varias fucniones matemáticas muy costosas computacionalmente.
Se pretende en este TFM acelerar esas funciones mediante el uso de Kernel implementados en FPGAs, compilados desde OpenCL, y manejados desde programas que funcionan en la máquina que se pretende acelerar y que maneja, bien C++, o bien python.
Uno de los objetivos fundamentales del TFM es establecer comparativas que nos permitan determinar el soporte host ideal, el sistema de comunicación ideal host-kernel, y la implementación del OpenCL óptimo.Compadre Ochando, J. (2018). Implementación de aceleradores OpenCL sobre FPGA de funciones básicas necesarias en algoritmos utilizados en "deep learning". Universitat Politècnica de València. https://riunet.upv.es/handle/10251/115347TFG
AUTOMAT[R]IX: learning simple matrix pipelines
No full text[EN] Matrices are a very common way of representing and working with data in data science and artificial intelligence. Writing a small snippet of code to make a simple matrix transformation is frequently frustrating, especially for those people without an extensive programming expertise. We present AUTOMAT[R]IX, a system that is able to induce R program snippets from a single (and possibly partial) matrix transformation example provided by the user. Our learning algorithm is able to induce the correct matrix pipeline snippet by composing primitives from a library. Because of the intractable search space-exponential on the size of the library and the number of primitives to be combined in the snippet, we speed up the process with (1) a typed system that excludes all combinations of primitives with inconsistent mapping between input and output matrix dimensions, and (2) a probabilistic model to estimate the probability of each sequence of primitives from their frequency of use and a text hint provided by the user. We validate AUTOMAT[R]IX with a set of real programming queries involving matrices from Stack Overflow, showing that we can learn the transformations efficiently, from just one partial exampleWe thank the anonymous reviewers for their comments, which have improved the paper significantly. This research was supported by the EU (FEDER) and the Spanish MINECO RTI2018-094403B-C32 and the Generalitat Valenciana PROMETEO/2019/098. L. Contreras-Ochando was also supported by the Spanish MECD Grant (FPU15/03219). J. Hernandez-Orallo is also funded by FLI (RFP2-152).Contreras-Ochando, L.; Ferri Ramírez, C.; Hernández-Orallo, J. (2021). AUTOMAT[R]IX: learning simple matrix pipelines. Machine Learning. 110(4):779-799. https://doi.org/10.1007/s10994-021-05950-7S7797991104Contreras-Ochando, L., Ferri, C., & Hernández-Orallo, J. (2020a). Automating common data science matrix transformations. In Machine learning and knowledge discovery in databases (ECMLPKDD workshop on automating data science) (pp. 17–27). Springer, ECML-PKDD ’19.Contreras-Ochando, L., Ferri, C., Hernández-Orallo, J., Martínez-Plumed, F., Ramírez-Quintana, M. J., & Katayama, S. (2020b). Automated data transformation with inductive programming and dynamic background knowledge. In Machine learning and knowledge discovery in databases (pp. 735–751). Springer, ECML-PKDD ’19.Contreras-Ochando, L., Ferri, C., Hernández-Orallo, J., Martínez-Plumed, F., Ramírez-Quintana, M. J., & Katayama, S. (2020c). BK-ADAPT: Dynamic background knowledge for automating data transformation. In Machine learning and knowledge discovery in databases (ECMLPKDD demo track) (pp. 755–759). Springer, ECML-PKDD ’19.Cropper, A., Tamaddoni, A., & Muggleton, S. H. (2015). Meta-interpretive learning of data transformation programs. In Inductive logic programming (pp. 46–59).Ferri-Ramírez, C., Hernández-Orallo, J., & Ramírez-Quintana, M. J. (2001). Incremental learning of functional logic programs. In FLOPS (pp. 233–247). Springer.Gulwani, S. (2011). Automating string processing in spreadsheets using input-output examples. In Proceedings 38th principles of programming languages (pp. 317–330).Gulwani, S., Hernández-Orallo, J., Kitzelmann, E., Muggleton, S., Schmid, U., & Zorn, B. (2015). Inductive programming meets the real world. Communications of the ACM, 58(11), 90–99.He, Y., Chu, X., Ganjam, K., Zheng, Y., Narasayya, V., & Chaudhuri, S. (2018). Transform-data-by-example (TDE): An extensible search engine for data transformations. Proceedings of the VLDB Endowment, 11(10), 1165–1177.Jenkins, T. (2002). On the difficulty of learning to program. In Proceedings of the 3rd annual conference of the LTSN Centre for information and computer sciences, Citeseer (Vol. 4, pp. 53–58).Kandel, S., Paepcke, A., Hellerstein, J., & Heer, J. (2011). Wrangler: Interactive visual specification of data transformation scripts. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 3363–3372). ACM.Katayama, S. (2005). Systematic search for lambda expressions. Trends in Functional Programming, 6, 111–126.Kolb, S., Paramonov, S., Guns, T., & De Raedt, L. (2017). Learning constraints in spreadsheets and tabular data. Machine Learning, 106(9–10), 1441–1468.Lieberman, H. (2001). Your wish is my command: Programming by example. Burlington: Morgan Kaufmann.Menon, A., Tamuz, O., Gulwani, S., Lampson, B., & Kalai, A. (2013). A machine learning framework for programming by example. In ICML (pp. 187–195).Mitchell, T., Allen, J., Chalasani, P., Cheng, J., Etzioni, O., Ringuette, M., & Schlimmer, J. (1991). Theo: A framework for self-improving systems. In Architectures for intelligence (pp. 323–355).Mitchell, T., Cohen, W., Hruschka, E., Talukdar, P., Yang, B., Betteridge, J., et al. (2018). Never-ending learning. Communications of the ACM, 61(5), 103–115.Paramonov, S., Kolb, S., Guns, T., & De Raedt, L. (2017). Tacle: Learning constraints in tabular data. In Proceedings of the 2017 ACM on conference on information and knowledge management, ACM, New York, NY, USA, CIKM ’17 (pp. 2511–2514).Parisotto, E., Mohamed, Ar., Singh, R., Li, L., Zhou, D., & Kohli, P. (2016). Neuro-symbolic program synthesis. arXiv preprint arXiv:161101855Raza, M., Gulwani, S., & Milic-Frayling, N. (2014). Programming by example using least general generalizations. In Twenty-eighth AAAI conference on artificial intelligence.Reynolds, A., & Tinelli, C. (2017). Sygus techniques in the core of an SMT solver. arXiv preprint arXiv:171110641Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Inf Process Manag, 24(5), 513–523.Santolucito, M., Hallahan, W. T., & Piskac, R. (2019). Live programming by example. In Extended abstracts of the 2019 CHI conference on human factors in computing systems (p. INT020). ACM.Segovia-Aguas, J., Jiménez, S., & Jonsson, A. (2019). Computing programs for generalized planning using a classical planner. Artificial Intelligence, 272, 52–85.Wang, X., Dillig, I., & Singh, R. (2017). Program synthesis using abstraction refinement. In Proceedings of the ACM on programming languages 2(POPL):63.Wu, B., Szekely, P., & Knoblock, C. A. (2012). Learning data transformation rules through examples: Preliminary results. In Information integration on the web (p. 8)
Optimization study of the fouling build-up on a RO membrane for pretrated olive mill wastewater purification
No full textEven though membranes are considered in many aspects a mature technology, a range of features are still in development and under investigation. Regarding this, the main handicap of this technology is inevitably membrane fouling. Fouling issues have investigated by many research groups in the last years to convince investors to implement membranes as substitutes of a range of unit operations at industrial scale. In the wastewater treatment field, this is especially problematic, given the low economic value of the product, that is, treated water. On another hand, the management of the effluents generated by olive oil industries, olive mill wastewaters (OMW), is a task of global concern not anymore constrained to a specific region. These wastewaters represent an ever-increasing problem still unresolved. The present work was aimed for the modelling and optimization of a reverse osmosis (RO) membrane operation for the purification of pretreated olive mill wastewater, with a focus on the dynamic fouling development minimization on the selected membrane as a function of the set-up of the operating conditions. For this goal, beforehand a factorial design was implemented for the optimization of the RO treatment of the OMW stream. The results gathered were thereafter interpreted by means of the response surface methodology. A significant impact was noted to be driven by the operating pressure and the tangential velocity on the fouling rate on the RO membrane. The response surfaces withdrawn from the experimental data support the previous results, and the optimised parameters - ambient temperature range (24 - 25 °C), moderate operating pressure (25 - 30 bar) and turbulent tangential flow (3.1 - 3.5 m s -1 ) - were found to provide a stable permeate flux of 32.3 - 38.5 L h -1 m -2 . These results reveal the proposed process could be operated successfully at ambient temperature conditions and medium operating pressure, boosting the economic efficiency of the RO purification of this effluent. Finally, the parametric quality standards stablished to reuse the purified effluent for irrigation purposes were checked and found to be satisfactory
RUOLO DELL’AMPULLECTOMIA NEL TRATTAMENTO DEI TUMORI AMPOLLARI BENIGNI E MALIGNI NEL PAZIENTE ANZIANO
No full textOn the optimization of a flocculation process as fouling inhibiting pretreatment on an ultrafiltration membrane during olive mill effluents treatment
No full textIn this work, a simple and cost-effective pretreatment upstream an UF membrane operation for the purification of the main olive mill effluent streams (OME) is examined. The raw wastewater was processed by a pH-temperature (T) flocculation process formerly studied at lab scale in previous work. In the present paper, modelization and optimization of the pretreatment process are addressed at pilot scale. Statistical multifactorial analysis showed both pH and T remarkably influence the suspended solids concentration removal efficiency (p-value practically equal to zero), confirming a statistically significant relationship between the variables considered at 95% confidence level. Moreover, the pH exhibits a deeper influence than the T, according to the p-values withdrawn from the analysis, and the squared effects are significant too, but more significant in the case of the pH. Contour plots and response surface support the previous results, and the optimized parameters were 21.4 °C and pH equal to 2.2, yielding 98.4 − 98.6% TSS reduction and 90.5% v/v recovery of clarified water. Finally, a boundary flux value of 9.7 L/hm2 and a significant reduction of the fouling index (3.4·10− 2 min− 1) were ensured, and a permeate stream reusable for irrigation, boosting the cost-efficiency of the integral process
The impact of the absence of aliphatic glucosinolates on water transport under salt stress in Arabidopsis thaliana
No full textMembers of the Brassicaceae are known for their contents of nutrients and health-promoting phytochemicals, including glucosinolatesExposure to salinity increases the levels of several of these compounds, but their role in abiotic stress response is unclear. The effect of aliphatic glucosinolates on plant water balance and growth under salt stress, involving aquaporins, was investigated by means of Arabidopsis thaliana mutants impaired in aliphatic glucosinolate biosynthesis, which is controlled by two transcription factors: Myb28 and Myb29. The double mutant myb28myb29, completely lacking aliphatic glucosinolates, was compared to wild type Col-0 (WT) and the single mutant myb28. A greater reduction in the hydraulic conductivity of myb28myb29 was observed under salt stress, when compared to the WT and myb28; this correlated with the abundance of both PIP1 and PIP2 aquaporin subfamilies. Also, changes in root architecture in response to salinity were genotype dependent. Treatment with NaCl altered glucosinolates biosynthesis in a similar way in WT and the single mutant and differently in the double mutant. The results indicate that short-chain aliphatic glucosinolates may contribute to water saving under salt stres
DERIVAZIONE MESO-CAVALE CON INTERPOSIZIONE DI VENA GIUGULARE INTERNA AUTOLOGA PER TROMBOSI SPLENO-PORTALE DA PANCREATITE
No full textDiseño de vestuario para El teorema KatherinePropuesta para la representación de una novela de ficción
No full textEste trabajo consiste en la adaptación y diseño del vestuario de una novela de género juvenil, en concreto, El teorema Katherine, para ser representada escénicamente, por ejemplo en cine o teatro. Empezando por el análisis de los personajes principales de la obra, continuando con el diseño de figurines y llevando finalmente a cabo algunas de las prendas.
Dichos figurines representan varios atuendos de los tres personajes principales seleccionados, basados en las descripciones del autor sobre su personalidad, su estilo y costumbres a la hora de vestir, en conjunción con una interpretación personal de cada uno de ellos.
Algunos de los referentes para este trabajo son estilistas y diseñadores de vestuario reconocidos y también algunos que han destacado por crear el vestuario para películas y series de género juvenil.
Con este trabajo tenemos el objetivo de empezar en el mundo de la moda y el vestuario con el estímulo de aprender nuevas técnicas dentro del ámbito de la confección, necesarias para completar una visión global dentro del proceso de diseño de vestuario.This work consists of the adaptation and costume design of a youth gender¿s novel called An Abundance of Katherines in order to be represented in the cinema or the theatre for instance. First of all, there is an analysis of the main characters, later the fashion illustrations are designed and finally some garments are created.
Those fashion illustrations represent some attires of the three main selected characters based on the author¿s descriptions about their personality, style and customs at the time of dressing in connection with the personal interpretation of each one of them.
Some of the guides of this work are costume design recognised stylists and designers and some of them have standed out for creating costume design for youth gender¿s films and series.
Starting in the world of fashion and costume design is the aim of this paper. In it, the incentive of learning new techniques in the field of dressmaking will be dealt. These ones are necessary to complete a global vision inside the process of costume design.González Ochando, S. (2018). Diseño de vestuario para El teorema KatherinePropuesta para la representación de una novela de ficción. https://riunet.upv.es/handle/10251/108269TFG
Batch membrane treatment of olive vegetation wastewater from two-phase olive oil production process by threshold flux based methods
No full textThe more efficient continuous centrifugation-based olive oil extraction processes brought as drawback a significant increment of the generated effluents, highlighting olive vegetation wastewater (OVW) as the most polluted. In this work, OVW from a two-phase olive oil extraction process (OVW-2) was treated by means of batch membrane operations in sequence comprising UF, NF and RO. This treatment is capable of successfully removing the organic matter and other pollutants from the wastewater, but membrane fouling can limit drastically membranes operation and longevity. Threshold flux-based methods represent a reliable tool to avoid fouling problems and were formerly applied to treat OVW streams coming from a three-phase production line (OVW-3). Below threshold flux conditions, no relevant rates of fouling are observed, thus making the treatment process technically and economically feasible. In order to increase the threshold flux values, some pretreatment processes were conducted on the feedstock, such as pH-T flocculation and successively photocatalysis by novel lab-made titanium dioxide nanoparticles. The latter provided 22.3%, 17.6% and 20.4% further threshold flux increase to UF, NF and RO, respectively. At the end, a permeate with COD equal to 121 mg/L was successfully obtained, respecting both Italian and Spanish standards for discharging purified OVW-2 in municipal sewers. (c) 2012 Elsevier B.V. All rights reserved
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