Delaying berry ripening through manipulating leaf area to fruit ratio

The viticulture practices have always been focused on the production of grapes with higher sugar level, and this tendency has been pronounced by the climate change. The objective consists on delaying berry ripeness by decreasing the ratio between the leaf area and yield, performing intense trimming treatments after berry set and establishing the consequences on grapevine productivity in the following years. Severe shoot trimming with two different intensity treatments were done during a 3-year period (2010-2012). Phenological, vegetative and productive parameters were examined. Veraison date was delayed around twenty days. Regarding the same harvesting date, the trim treatments had lower soluble solids level (15 % reduction), lower pH (0.1-0.3) and less total anthocyanin content (10-27 % reduction). The trim effect was also reflected in berry weight; as a consequence of that, bunch size and yield were also reduced by around 9 and 15 %. Overall, single trim treatment was superior to double trim treatment because it can achieve the same results in delayed ripening, reduced °Brix, pH and production but with a smaller reduction in anthocyanin content and without having any negative impact on following years.Peer Reviewe

Quantifying the effect of temperature on decoupling anthocyanins and sugars of the grape (Vitis vinifera L. 'Maturana Tinta de Navarrete')

The objective of this work consists of the quantification of decoupling anthocyanin: sugar ratio produced by higher temperature on Vitis vinifera L. 'Maturana Tinta de Navarrete'. Two vineyards were studied in two different climatic areas during a 3-year period (2010-2012). The average Winkler index during the three years in the two studied areas was 1364°C and 1619°C, respectively. This implies a difference of 1.3°C for the mean temperature between both areas from April to October. Both total anthocyanins and the anthocyanins: sugars ratio decreased, significantly, in the warmer area during the three years. The highest anthocyanin sugars decoupling occurred in the warmest year (2012) and the lowest in the coolest year (2010). Given that the grape ripening begins in August, it could be concluded that the above decoupling is higher as higher is the temperature in August. For further research, it would be very interesting to study the anthocyanins: sugar ratio at different times from veraison onwards.Peer Reviewe

Reducing the sugar and pH of the grape (vitis vinifera l. Cvs. 'Grenache' and 'tempranillo') through a single shoot trimming

Many vineyards all over the world can easily produce high potential alcohol levels, but the importance of the sugar content in berries has been changing over the past few years. The objective of this work was to reduce the sugar and pH of the grapes, delay berry ripening by decreasing the ratio between the leaf area and yield, perform an intense trimming treatment after berry set and establish the consequences for grapevine productivity in the following year. Severe shoot trimming was done over a three-year period (2010 to 2012). Phenological, vegetative and productive parameters were examined. The date of véraison was delayed by about 20 days. On the same harvesting date, the trim treatment had lower soluble solids (12% to 15 % reduction), lower pH (0.1 to 0.3) and a lower total anthocyanin content (10% reduction). The trim effect was also reflected in berry weight; as a consequence, bunch size and yield were also reduced by around 10%. If the trim treatment does not reduce the leaf area to fruit ratio below 0.50 m 2/kg, there is no negative impact on vine capacity in the next year.Peer Reviewe

A very early estimation of software development time and effort using neural networks

In spite of years of research and development, formal structured estimation of time and effort required to develop a Management Information System (MIS) is still an open problem. Usual estimation techniques applied by now are supported by the not so realistic premise of requirements stability, and often human experts are required to apply them. This paper considers models of estimation based on metrics available on early design phase. Our research work aims to develop formal estimation models for time and effort needed for MIS development. These models use development team efficiency, requirements volatility, development speed and system complexity as input parameters. We also identify which input metrics are adequate for measuring system’s cognitive complexity and found that useful metrics can be obtained automatically from the system users´ data views very early on the life cycle with independence of the technology used and without human intervention. We tested the metrics estimation capability using Artificial Neural Networks (ANN), and thus confirmed an existing functional relation among input and output metrics (time and effort). Once trained, the ANN predicts effort needed with a 15% average error and time needed with a 30% average error.Eje: I - Workshop de Ingeniería de Software y Base de DatosRed de Universidades con Carreras en Informática (RedUNCI

Influence of the Pump Control System in the Selection of the Number of Fixed Speed and Variable Speed Drive Pumps in Water Pumping Stations

[EN] Proper design of a pumping system requires the use of a pump curve and set-point curve system. Both have to be as close as possible to optimize energy use. This is achieved by control systems in which the type of control (flow or pressure) and the combination between fixed speed drive (FSD) pumps and variable speed drive (VSD) pumps are involved. The objective of this work is to determine the optimal number of FSD and VSD pumps for each flow rate range in order to discuss the classic design of pumping stations and their control systems. For this, a methodology is applied that defines the parametric form of the pump curve, efficiency curve, and set-point curve in relation to the most efficient point. In this way, dimensionless expressions are obtained and the influence of the set-point parameters on the design of the control system can be analyzed. Additionally, the method includes an expression that estimates the performance of the frequency inverter, which is based on the load and pump speed rotation. The application of the methodology to different case studies allows us to question many classic procedures for pumping stations. In summary, it can be concluded that the appropriate number of variable speed pumps for each control system cannot be established in advance but requires an in-depth study of different available options.Briceño, C.; Iglesias Rey, PL.; Martínez-Solano, FJ. (2019). Influence of the Pump Control System in the Selection of the Number of Fixed Speed and Variable Speed Drive Pumps in Water Pumping Stations. Proceedings. 48(1):1-11. https://doi.org/10.3390/ECWS-4-06445S11148

STUDY OF SENSITIVITY OF THE PARAMETERS OF A GENETIC ALGORITHM FOR DESIGN OF WATER DISTRIBUTION NETWORKS

The Genetic Algorithms (GAs) are a technique of optimization used for water distribution networks design. This work has been made with a modified pseudo genetic algorithm (PGA), whose main variation with a classical GA is a change in the codification of the chromosomes, which is made of numerical form instead of the binary codification. This variation entails a series of special characteristics in the codification and in the definition of the operations of mutation and crossover. Initially, the work displays the results of the PGA on a water network studied in the literature. The results show the kindness of the method. Also is made a statistical analysis of the obtained solutions. This analysis allows verifying the values of mutation and crossing probability more suitable for the proposed method. Finally, in the study of the analyzed water supply networks the concept of reliability in introduced. This concept is essential to understand the validity of the obtained results. The second part, starting with values optimized for the probability of crossing and mutation, the influence of the population size is analyzed in the final solutions on the network of Hanoi, widely studied in the bibliography. The aim is to find the most suitable configuration of the problem, so that good solutions are obtained in the less time

Leaf area reduction by trimming, a growing technique to restore the anthocyanins: Sugars ratio decoupled by the warming climate

The aim of this work is the evaluation of the leaf area reduction by trimming, as a growing technique to restore the anthocyanins: sugars ratio decoupled by the warming climate. A 3-year period (2010-2012) severe shoot trimming treatment was done after berryset (berry diameter 3-4 mm) and the veraison date was delayed around 20 days. The grapes were picked at the same level of soluble solids in all the treatments. However, for every year, the trim treatment significatively increased the total anthocyanin content between 8 % and 21 % compared to control. Therefore, delaying the berry ripening process trough the decrease of the leaf area to fruit ratio, could partially restore the anthocyanins: sugars ratio disrupted by elevated temperatures. Although it is necessary to study other trimmings intensities as well as other times of intervention, the shoot trimming treatment could be a very simple technique to delay berry ripening and compensate the effects of climate warming.Peer Reviewe

Multi-Objective Optimization of Drainage Networks for Flood Control in Urban Area Due to Climate Change

[EN] The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC) of the United Nations mentions that extreme rainfalls might increase their intensity and frequency in most mid-latitude locations and tropical regions by the end of this century, as a consequence of the rise of the average global surface temperature. Human action has given way to global warming which manifests with an increase in extreme rainfall. If these climatic conditions are added to the waterproofing that cities have been experiencing as a result of urban development, a scenario of growing concern for the managers of drainage systems is generated. The objective of drainage networks is preventing the accumulation of rainwater on the surface. Under the new conditions of climate change, these need to be modified and adapted to provide cities with the security they demand. The following article describes a method for flood control by using a rehabilitation model that connects the Storm Water Management Model (SWMM) 5 model with a genetic algorithm to find the best solutions to the flood problem. The final analysis is performed using the Pareto efficiency criteria. The innovation of this method is the inclusion of a local head loss in the drainage network, allowing the upstream flow to be retained by decreasing the downstream concentration time. These elements called hydraulic controls improve system performance and are installed in the initial part of some pipes coming out of storm tanks. As a case study, the developed method has been applied in a section of the drainage network of the city of Bogotá.Bayas-Jiménez, L.; Iglesias Rey, PL.; Martínez-Solano, FJ. (2019). Multi-Objective Optimization of Drainage Networks for Flood Control in Urban Area Due to Climate Change. Proceedings. 48(1):1-9. https://doi.org/10.3390/ECWS-4-06451S1948

Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor

Ponència presentada a 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) celebrat a Bordeaux, França.The convolution operator is a crucial kernel for many computer vision and signal processing applications that rely on deep learning (DL) technologies. As such, the efficient implementation of this operator has received considerable attention in the past few years for a fair range of processor architectures. In this paper, we follow the technology trend toward integrating long SIMD (single instruction, multiple data) arithmetic units into high performance multicore processors to analyse the benefits of this type of hardware acceleration for latency-constrained DL workloads. For this purpose, we implement and optimise for the Fujitsu processor A64FX, three distinct methods for the calculation of the convolution, namely, the lowering approach, a blocked variant of the direct convolution algorithm, and the Winograd minimal filtering algorithm. Our experimental results include an extensive evaluation of the parallel scalability of these three methods and a comparison of their global performance using three popular DL models and a representative dataset

Experiencia con la herramienta de virtualización VNUML para la enseñanza de redes de computadores

La virtualización permite disponer y configurar infraestructuras de red con un coste asumible para un laboratorio y, a diferencia de los simuladores, muestra un comportamiento real del sistema. Este artículo presenta la metodología que seguimos en la asignatura de Redes de la Facultad de Informática de la Universidad de Murcia para la enseñanza práctica de conceptos tales como encaminamiento, movilidad IP, balanceo de carga y alta disponibilidad por medio de la herramienta de virtualización de código abierto VNUML. Para mostrar estos conceptos hemos añadido diversas utilidades al sistema de ficheros utilizado en VNUML. Gracias a estas herramientas, los alumnos han podido mejorar el aprendizaje de estos conceptos como lo refutan las encuestas realizadas.Peer Reviewe