Diseño y postproducción de sonido de una adaptación del cuento fantástico "El Horla" de Guy de Maupassant

Creación de un montaje sonoro sobre un vídeo existente. Creating a sound design on an existing video.Ridaura Blasco, S. (2011). Diseño y postproducción de sonido de una adaptación del cuento fantástico "El Horla" de Guy de Maupassant. Universitat Politècnica de València. http://hdl.handle.net/10251/14124Archivo delegad

Definición e implementación de un sistema de información para un proceso de desarrollo de software

En un entorno donde las exigencias del cliente son cada vez mayores, donde los cambios en los negocios son cada vez más rápidos, las empresas tienden a tener una mayor dependencia de las Tecnologías de la Información (TI). Los departamentos de TI de las empresas, y las actividades en ellos desarrolladas, han sido tradicionalmente vistos como procesos de soporte al negocio, descuidando muchas veces el uso de criterios racionales para medir su rentabilidad, eficacia y la calidad del servicio ofrecidos. Durante años, muchos departamentos de TI han intentado hacer frente al crecimiento de la carga de gestión introduciendo más empleados y tecnología, cuando lo más indicado es acometer una profunda transformación de sus procesos, que generalmente conservan una naturaleza estrictamente reactiva. Esta mejora contínua requiere, por parte de los responsables de la toma de decisiones, tener un conocimiento cercano y preciso de lo que sucede en la organización por lo que es necesario dotar a estas personas de información estructurada acerca del funcionamiento de los procesos. Información cuantitativa y cualitativa que debe extraerse automáticamente de los sistemas corporativos. Se trata generar orden, lenguaje y procesos comunes, optimizar beneficios y garantizar la integración de los servicios en la cadena de valor de las unidades de negocio. Para lograrlo, no basta con desarrollar un modelo de gestión basado en procesos de negocio, también conocido cómo modelo BPM (del inglés, Business Process Management) sinó que es fundamental contar con personas que tengan el conocimiento necesario e implementar Sistemas de gestión de la Información. Para ello, en este proyecto trataremos de definir e implantar un modelo de gestión basado en el Proceso de Desarrollo de Software de un departamento de TI. Para ello, definiremos los procedimientos a implantar, la estructura organizativa, los protocolos de comunicación, etc… Una vez definido el modelo de gestión, pasaremos a definir un sistema de indicadores que estructure la información generada por los sistemas corporativos y herramientas de apoyo en un panel de mando que facilite a los responsables la toma de decisiones a través de planes de acción predefinidos en función de las situaciones. Finalmente, realizaremos una prueba piloto mediante un panel de mando de la gestión de un Proceso de Desarrollo de Software implementado en una aplicación informática

Definición e implementación de un sistema de información para un proceso de desarrollo de software

En un entorno donde las exigencias del cliente son cada vez mayores, donde los cambios en los negocios son cada vez más rápidos, las empresas tienden a tener una mayor dependencia de las Tecnologías de la Información (TI). Los departamentos de TI de las empresas, y las actividades en ellos desarrolladas, han sido tradicionalmente vistos como procesos de soporte al negocio, descuidando muchas veces el uso de criterios racionales para medir su rentabilidad, eficacia y la calidad del servicio ofrecidos. Durante años, muchos departamentos de TI han intentado hacer frente al crecimiento de la carga de gestión introduciendo más empleados y tecnología, cuando lo más indicado es acometer una profunda transformación de sus procesos, que generalmente conservan una naturaleza estrictamente reactiva. Esta mejora contínua requiere, por parte de los responsables de la toma de decisiones, tener un conocimiento cercano y preciso de lo que sucede en la organización por lo que es necesario dotar a estas personas de información estructurada acerca del funcionamiento de los procesos. Información cuantitativa y cualitativa que debe extraerse automáticamente de los sistemas corporativos. Se trata generar orden, lenguaje y procesos comunes, optimizar beneficios y garantizar la integración de los servicios en la cadena de valor de las unidades de negocio. Para lograrlo, no basta con desarrollar un modelo de gestión basado en procesos de negocio, también conocido cómo modelo BPM (del inglés, Business Process Management) sinó que es fundamental contar con personas que tengan el conocimiento necesario e implementar Sistemas de gestión de la Información. Para ello, en este proyecto trataremos de definir e implantar un modelo de gestión basado en el Proceso de Desarrollo de Software de un departamento de TI. Para ello, definiremos los procedimientos a implantar, la estructura organizativa, los protocolos de comunicación, etc… Una vez definido el modelo de gestión, pasaremos a definir un sistema de indicadores que estructure la información generada por los sistemas corporativos y herramientas de apoyo en un panel de mando que facilite a los responsables la toma de decisiones a través de planes de acción predefinidos en función de las situaciones. Finalmente, realizaremos una prueba piloto mediante un panel de mando de la gestión de un Proceso de Desarrollo de Software implementado en una aplicación informática

Observation of a valence transition in (Pr,Ca)CoO3 cobaltites: charge migration at the metal-insulator transition

X-ray absorption spectroscopy measurements in Pr0.5Ca0.5CoO3 and (Pr,Y)0.55Ca0.45CoO3 compositions reveal that the valence of praseodymium ions is stable and essentially +3 (Pr [4f 2]) in the metallic state, but abruptly changes when carriers localize approaching the oxidation state +4 (Pr [4f 1]). This mechanism appears to be the driving force of the metal-insulator transition. The ground insulating state of Pr0.5Ca0.5CoO3 is an homogeneous Co3.5-d state stabilized by a charge transfer from Pr to Co sites: 1/2Pr3+ + Co3.5 \to 1/2Pr3+2d + Co3.5-d, with 2d \approx 0.26 e-.Comment: Submitted. 14 pages, 4 Figure

Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop

[EN] In general, the starting point for the complex task of designing a robust and efficient control system is the use of nominal models that allow to establish a first set of parameters for the selected control scheme. Once the initial stage of design is achieved, control engineers face the difficult task of Fine-Tuning for a more realistic environment, where the environment conditions are as similar as possible to the real system. For this reason, in the last decades the use of Hardware-in-The-Loop (HiL) systems has been introduced. This simulation technique guarantees realistic simulation environments to test the designs but without danger of damaging the equipment. Also, in this iterative process of Fine-Tuning, it is usual to use different (generally conflicting/opposed) criteria that take into account the sensitivities that always appear in every project, such as economic, security, robustness, performance, for example. In this framework, the use of multi-objective techniques are especially useful since they allow to study the different design alternatives based on the multiple existing criteria. Unfortunately, the combination of multi-objective techniques and verification schemes based on Hardware-In-The-Loop presents a high incompatibility. Since obtaining the optimal set of solutions requires a high computational cost that is greatly increased when using Hardware- In-the-Loop. For this reason, it is often necessary to use less realistic but more computationally efficient verification schemes such as Model in the Loop (MiL), Software in the Loop (SiL) and Processor in the Loop (PiL). In this paper, a combined methodology is presented, where multi-objective optimisation and multi-criteria decision making steps are sequentially performed to achieve a final control solution. The authors claim that while going towards the optimisation sequence over MiL -> SiL -> PiL -> HiL platforms, the complexity of the problem is unveiled to the designer, allowing to state meaningful design objectives. In addition, safety in the step between simulation and reality is significantly increased.The authors would like to acknowledge the Spanish Ministry of Economy and Competitiveness for providing funding through the project DPI2015-71443-R and the grant BES-2012-056210. This work has been partially supported by the National Council of Scientific and Technological Development of Brazil (CNPq) through the BJT/304804/2014-2 and PQ-2/304066/2016-8 grants.Reynoso Meza, G.; Velasco-Carrau, J.; Garcia-Nieto, S.; Blasco, X. (2017). Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop. Engineering Applications of Artificial Intelligence. 64:52-66. https://doi.org/10.1016/j.engappai.2017.05.005S52666

Zn-biofortification enhanced nitrogen metabolism and photorespiration process in green leafy vegetable Lactuca sativa L

Abstract BACKGROUND: Excessive rates of nitrogen (N) fertilizers may result in elevated concentrations of nitrate (NO3 −) in plants. Considering thatmany programs of biofortification with trace elements are being performed, it has become important to study how the application of these elements affects plant physiology and, particularly, N utilization in leaf crops. The main objective of the present study was to determine whether the NO3 − accumulation and the nitrogen use efficiency was affected by the application of different doses of Zn in Lactuca sativa plants. RESULTS: Zn doses in the range 80–100 mol L−1 produced an increase in Zn concentration provoking a decrease of NO3 − concentration and increase of the nitrate reductase, glutamine synthetase and aspartate aminotransferase activities, as well as the photorespiration processes. As result, we observed an increase in reduced N, total N concentration and N utilization efficiency. Consequently, at a dose of 80 mol L−1 of Zn, the amino acid concentration increased significantly. CONCLUSION: Adequate Zn fertilization is an important critical player in lettuce, especially at a dose of 80 mol L−1 of Zn, because it could result in an increase in the Zn concentration, a reduction of NO3 − levels and an increase the concentration of essential amino acids, with all of them having beneficial properties for the human diet

Controller tuning by means of multi-objective optimization algorithms: a global tuning framework

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.A holistic multi-objective optimization design technique for controller tuning is presented. This approach gives control engineers greater flexibility to select a controller that matches their specifications. Furthermore, for a given controller it is simple to analyze the tradeoff achieved between conflicting objectives. By using the multi-objective design technique it is also possible to perform a global comparison between different control strategies in a simple and robust way. This approach thereby enables an analysis to be made of whether a preference for a certain control technique is justified. This proposal is evaluated and validated in a nonlinear multiple-input multiple-output system using two control strategies: a classical proportional- integral-derivative control scheme and a feedback state controller.This work was supported in part by the FPI-2010/19 Grant and the Project PAID-06-11 from the Universitat Politecnica de Valencia and in part by the Projects DPI2008-02133, TIN2011-28082, and ENE2011-25900 from the Spanish Ministry of Science and Innovation.Reynoso Meza, G.; García-Nieto Rodríguez, S.; Sanchís Saez, J.; Blasco, X. (2013). Controller tuning by means of multi-objective optimization algorithms: a global tuning framework. IEEE Transactions on Control Systems Technology. 21(2):445-458. https://doi.org/10.1109/TCST.2012.2185698S44545821

Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing

[EN] The use of remote sensing to map the distribution of plant diseases has evolved considerably over the last three decades and can be performed at different scales, depending on the area to be monitored, as well as the spatial and spectral resolution required. This work describes the development of a small low-cost field robot (Remotely Operated Vehicle for Infection Monitoring in orchards, XF-ROVIM), which is intended to be a flexible solution for early detection of Xylella fastidiosa (X. fastidiosa) in olive groves at plant to leaf level. The robot is remotely driven and fitted with different sensing equipment to capture thermal, spectral and structural information about the plants. Taking into account the height of the olive trees inspected, the design includes a platform that can raise the cameras to adapt the height of the sensors to a maximum of 200 cm. The robot was tested in an olive grove (4 ha) potentially infected by X. fastidiosa in the region of Apulia, southern Italy. The tests were focused on investigating the reliability of the mechanical and electronic solutions developed as well as the capability of the sensors to obtain accurate data. The four sides of all trees in the crop were inspected by travelling along the rows in both directions, showing that it could be easily adaptable to other crops. XF-ROVIM was capable of inspecting the whole field continuously, capturing geolocated spectral information and the structure of the trees for later comparison with the in situ observations.This work was partially supported by funding from the European Union's Horizon 2020 research and innovation programme under grant agreement 727987 Xylella Fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy (XF-ACTORS).Rey, B.; Aleixos Borrás, MN.; Cubero-García, S.; Blasco Ivars, J. (2019). Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing. Remote Sensing. 11(3). https://doi.org/10.3390/rs11030221113Martelli, G. P., Boscia, D., Porcelli, F., & Saponari, M. (2015). The olive quick decline syndrome in south-east Italy: a threatening phytosanitary emergency. European Journal of Plant Pathology, 144(2), 235-243. doi:10.1007/s10658-015-0784-7Olmo, D., Nieto, A., Adrover, F., Urbano, A., Beidas, O., Juan, A., … Landa, B. B. (2017). First Detection of Xylella fastidiosa Infecting Cherry (Prunus avium) and Polygala myrtifolia Plants, in Mallorca Island, Spain. Plant Disease, 101(10), 1820-1820. doi:10.1094/pdis-04-17-0590-pdnSaponari, M., Giampetruzzi, A., Loconsole, G., Boscia, D., & Saldarelli, P. (2019). Xylella fastidiosa in Olive in Apulia: Where We Stand. Phytopathology®, 109(2), 175-186. doi:10.1094/phyto-08-18-0319-fiVergara-Díaz, O., Zaman-Allah, M. A., Masuka, B., Hornero, A., Zarco-Tejada, P., Prasanna, B. M., … Araus, J. L. (2016). A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization. Frontiers in Plant Science, 7. doi:10.3389/fpls.2016.00666Thenkabail, P. S., & Lyon, J. G. (Eds.). (2016). Hyperspectral Remote Sensing of Vegetation. doi:10.1201/b11222Calderón, R., Navas-Cortés, J. A., Lucena, C., & Zarco-Tejada, P. J. (2013). High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices. Remote Sensing of Environment, 139, 231-245. doi:10.1016/j.rse.2013.07.031Gonzalez-Dugo, V., Hernandez, P., Solis, I., & Zarco-Tejada, P. (2015). Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping. Remote Sensing, 7(10), 13586-13605. doi:10.3390/rs71013586Hernández-Clemente, R., Navarro-Cerrillo, R., Ramírez, F., Hornero, A., & Zarco-Tejada, P. (2014). A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data. Remote Sensing, 6(11), 11627-11648. doi:10.3390/rs61111627Colaço, A. F., Molin, J. P., Rosell-Polo, J. R., & Escolà, A. (2018). Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges. Horticulture Research, 5(1). doi:10.1038/s41438-018-0043-0Ma, Q., Su, Y., Luo, L., Li, L., Kelly, M., & Guo, Q. (2018). Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data. Ecological Indicators, 95, 298-310. doi:10.1016/j.ecolind.2018.07.050Ma, Q., Su, Y., & Guo, Q. (2017). Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9), 4225-4236. doi:10.1109/jstars.2017.2711482Martinelli, F., Scalenghe, R., Davino, S., Panno, S., Scuderi, G., Ruisi, P., … Dandekar, A. M. (2014). Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development, 35(1), 1-25. doi:10.1007/s13593-014-0246-1Calderón, R., Navas-Cortés, J., & Zarco-Tejada, P. (2015). Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas. Remote Sensing, 7(5), 5584-5610. doi:10.3390/rs70505584Zarco-Tejada, P. J., Camino, C., Beck, P. S. A., Calderon, R., Hornero, A., Hernández-Clemente, R., … Navas-Cortes, J. A. (2018). Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants, 4(7), 432-439. doi:10.1038/s41477-018-0189-7Aasen, H., Honkavaara, E., Lucieer, A., & Zarco-Tejada, P. (2018). Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote Sensing, 10(7), 1091. doi:10.3390/rs10071091Vicent, A., & Blasco, J. (2017). When prevention fails. Towards more efficient strategies for plant disease eradication. New Phytologist, 214(3), 905-908. doi:10.1111/nph.14555Wang, X., Singh, D., Marla, S., Morris, G., & Poland, J. (2018). Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies. Plant Methods, 14(1). doi:10.1186/s13007-018-0324-5Bourgeon, M. A., Gée, C., Debuisson, S., Villette, S., Jones, G., & Paoli, J. N. (2016). « On-the-go » multispectral imaging system to characterize the development of vineyard foliage with quantitative and qualitative vegetation indices. Precision Agriculture, 18(3), 293-308. doi:10.1007/s11119-016-9489-yUnderwood, J. P., Hung, C., Whelan, B., & Sukkarieh, S. (2016). Mapping almond orchard canopy volume, flowers, fruit and yield using lidar and vision sensors. Computers and Electronics in Agriculture, 130, 83-96. doi:10.1016/j.compag.2016.09.014Zampetti, E., Papa, P., Di Flaviano, F., Paciucci, L., Petracchini, F., Pirrone, N., … Macagnano, A. (2017). Remotely Controlled Terrestrial Vehicle Integrated Sensory System for Environmental Monitoring. Sensors, 338-343. doi:10.1007/978-3-319-55077-0_43Hiremath, S. A., van der Heijden, G. W. A. M., van Evert, F. K., Stein, A., & ter Braak, C. J. F. (2014). Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter. Computers and Electronics in Agriculture, 100, 41-50. doi:10.1016/j.compag.2013.10.005Pérez-Ruiz, M., Gonzalez-de-Santos, P., Ribeiro, A., Fernandez-Quintanilla, C., Peruzzi, A., Vieri, M., … Agüera, J. (2015). Highlights and preliminary results for autonomous crop protection. Computers and Electronics in Agriculture, 110, 150-161. doi:10.1016/j.compag.2014.11.010Weiss, M., Baret, F., Smith, G. J., Jonckheere, I., & Coppin, P. (2004). Review of methods for in situ leaf area index (LAI) determination. Agricultural and Forest Meteorology, 121(1-2), 37-53. doi:10.1016/j.agrformet.2003.08.001Hosoi, F., & Omasa, K. (2006). Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar. IEEE Transactions on Geoscience and Remote Sensing, 44(12), 3610-3618. doi:10.1109/tgrs.2006.881743Stein, M., Bargoti, S., & Underwood, J. (2016). Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry. Sensors, 16(11), 1915. doi:10.3390/s16111915Saponari, M., Boscia, D., Altamura, G., Loconsole, G., Zicca, S., D’Attoma, G., … Martelli, G. P. (2017). Isolation and pathogenicity of Xylella fastidiosa associated to the olive quick decline syndrome in southern Italy. Scientific Reports, 7(1). doi:10.1038/s41598-017-17957-

Régimen tributario aplicable a las sociedades civiles con personalidad jurídica y objeto mercantil a partir del 1 de enero de 2016

This article discusses the requirements for civil society that will become taxpayers are analyzed Income tax from 1 January 2016, the transitional regime of dissolution and transformation option civil societies for those who do not want to become taxpayers income tax from January 1, 2016, and the transitional arrangements applicable to those civil societies pass effectively taxed on income tax from 1 January 2016 with practical cases analyzing situations more relevant to be produced in each of the above situations.En este artículo se analizan los requisitos que deben cumplir las sociedades civiles que van a pasar a ser contribuyentes del Impuesto sobre Sociedades a partir del 1 de enero de 2016, el régimen transitorio de disolución y la opción de la transformación para aquellas sociedades civiles que no quieran pasar a ser contribuyentes del Impuesto sobre Sociedades a partir del 1 de enero de 2016, así como el régimen transitorio aplicable a aquellas sociedades civiles que pasen a tributar efectivamente por el Impuesto sobre Sociedades a partir del 1 de enero de 2016 analizando con supuestos prácticos las situaciones de mayor relevancia que se van a producir en cada una de las situaciones anteriores