Operational thresholds of moored ships at the oil terminal of inner port of A Coruña (Spain)

[Abstract] Minimizing the stay of a vessel in port can lead to improvements in harbor efficiency. Currently, downtimes of cargo operations or their performance reduction because of excessive vessel motion are especially relevant. This work aims to evaluate the operational conditions of moored vessels in the inner port of A Coruña (Spain), comparing them with motion thresholds established by international standards for cargo operations. To this end, motions of 19 ships were monitored. Data analysis revealed large angular motions, particularly roll and yaw, including amplitudes that exceeded the limiting criteria of the standards in most of the analyzed vessels, with no registered downtime. Regarding linear movements, heave and surge recorded lower amplitudes compared to the values of standard thresholds. The specific behavior of each vessel was analyzed in terms of its size, maritime conditions, and mooring location. Field campaigns such as those performed in this work are an effective way of analyzing the operational conditions of ports, which could help in identifying problems in the mooring zone.Ministerio de Economía, Industria y Competitividad; BIA2017-86738-

Artificial cells for information processing: iris classification

[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene Regulatory Network (GRN) model, which has a similar processing information capacity as Boole’s Algebra. This paper also describes how to use it to perform the Iris Classification problem which is a pattern classification problem. The aim of this work is to show that the model can solve this kind of problemsInstituto de Salud Carlos III; RD07/0067/0005Instituto de Salud Carlos III; PIO52048Xunta de Galicia;PGIDIT05SIN10501PRXunta de Galicia;PGDIT 07TMT011CTThis work was partially supported by the Spanish Ministry of Education and Culture (Ref TIN2006-13274) and the European Regional Development Funds (ERDF), grant (Ref. PIO52048 and RD07/0067/0005) funded by the Carlos III Health Institute, grant (Ref. PGIDIT 05 SIN 10501PR) and (Ref. PGDIT 07TMT011CT) from the General Directorate of Research of the Xunta de Galicia and grant (File 2006/60, 2007/127 and 2007/144) from the General Directorate of Scientific and Technologic Promotion of the Galician University System of the Xunta de Galicia. Thanks to the Galician Supercomputation Center (CESGA) which has execute a great part of the tests

Pool-Type Fishway Design for a Potamodromous Cyprinid in the Iberian Peninsula: The Iberian Barbel—Synthesis and Future Directions

M.B., J.R.R., and J.P. would like to acknowledge support from the Spanish Ministry of Economy and Competitiveness (Ministerio de Economía y Competitividad) (Ref. CGL2012-34688) and thank the CITEEC (Centro de Innovación Tecnolóxica en Edificación e Enxeñería Civil) of the University of A Coruña and the Center for Hydrographic Studies of CEDEX for their ongoing collaboration in this research field. Finally, the authors want to thank the three anonymous reviewers for their comments and suggestions that improved this manuscript.The Iberian barbel (Luciobarbus bocagei) is one of the most common cyprinids in the Iberian Peninsula, whose migratory routes are often hampered by anthropogenic barriers. Fishways might be an effective mitigation measure if they integrate designed operational characteristics that account for the biomechanical requirements of this species. Understanding the flow conditions inside the fishway, and how barbel responds to the hydrodynamics of the flow is imperative to improve free migratory routes with minimum energetic cost associated. Herein, we analyze and synthesize the main findings of research on pool-type fishways for upstream passage of the Iberian barbel and derive recommendations of design criteria for pool-type fishways for this species and others of similar biomechanics capacities. Ultimately, we identify research needs to improve upstream passage of this species.A.T.S. was supported by the Norwegian Research Centre for Hydropower Technology—HydroCen (Project No. 257588); M.B. was funded from EU’s Horizon 2020 Programme under Marie Sklodowska-Curie Grant Agreement 754446 and UGR Research and Knowledge Transfer Fund—Athenea3i; and J.M.S. was supported by national funds via FCT under the CEEC Institucional 2018 (Ref. 2/ISA/FCT/2018). Forest Research Centre (CEF) is a research unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (UIDB/00239/2020)

Modeling of energy efficiency for residential buildings using artificial neuronal networks

The energy efficiency dataset used to support the findings of this study has been deposited in the GitHub repository https://github.com/mereshow/ann-energy-efficiency.git.[Abstract] Increasing the energy efficiency of buildings is a strategic objective in the European Union, and it is the main reason why numerous studies have been carried out to evaluate and reduce energy consumption in the residential sector. The process of evaluation and qualification of the energy efficiency in existing buildings should contain an analysis of the thermal behavior of the building envelope. To determine this thermal behavior and its representative parameters, we usually have to use destructive auscultation techniques in order to determine the composition of the different layers of the envelope. In this work, we present a nondestructive, fast, and cheap technique based on artificial neural network (ANN) models that predict the energy performance of a house, given some of its characteristics. The models were created using a dataset of buildings of different typologies and uses, located in the northern area of Spain. In this dataset, the models are able to predict the U-opaque value of a building with a correlation coefficient of 0.967 with the real U-opaque measured value for the same building

SNP locator: a candidate SNP selection tool

[Abstract] In this work, a data integration approach using a federated model based on a service oriented architecture (SOA) is presented. The BioMOBY middleware was used to implement each service which is part of the integration process. As an example of usage of this architecture, a web tool for candidate SNP selection has been developed. Thus, several BioMOBY services have been created as the model layer of the web application. Each data source has a wrapper which communicates with the federated model, that is, the BioMOBY model, and this model is the one that interacts with the client.Red Gallega de Investigación sobre Cáncer Colorrectal; Ref. 2009/58Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo; 209RT-0366Instituto de Salud Carlos III; PIO52048Instituto de Salud Carlos III; RD07/0067/0005Galicia. Consellería de Economía e Industria ; 10SIN105004PRMinisterio de Industria, Turismo y Comercio; TSI-020110-2009-5

Hybrid Model Based on Genetic Algorithms and SVM Applied to Variable Selection Within Fruit Juice Classification

Research article[Abstract] Given the background of the use of Neural Networks in problems of apple juice classification, this paper aim at implementing a newly developed method in the field of machine learning: the Support Vector Machines (SVM). Therefore, a hybrid model that combines genetic algorithms and support vector machines is suggested in such a way that, when using SVM as a fitness function of the Genetic Algorithm (GA), the most representative variables for a specific classification problem can be selected

Biomedical data integration in computational drug design and bioinformatics

[Abstract In recent years, in the post genomic era, more and more data is being generated by biological high throughput technologies, such as proteomics and transcriptomics. This omics data can be very useful, but the real challenge is to analyze all this data, as a whole, after integrating it. Biomedical data integration enables making queries to different, heterogeneous and distributed biomedical data sources. Data integration solutions can be very useful not only in the context of drug design, but also in biomedical information retrieval, clinical diagnosis, system biology, etc. In this review, we analyze the most common approaches to biomedical data integration, such as federated databases, data warehousing, multi-agent systems and semantic technology, as well as the solutions developed using these approaches in the past few years.Red Gallega de Investigación sobre Cáncer Colorrectal; Ref. 2009/58Programa Iberoamericano de Ciencia y Tecnología para el Desarrollo; 209RT- 0366Instituto de Salud Carlos III; PIO52048Instituto de Salud Carlos III; RD07/0067/0005Ministerio de Industria, Turismo y Comercio; TSI-020110-2009-

Machine Learning Based Moored Ship Movement Prediction

[Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020. Using this data, we created neural networks and gradient boosting models that predict the six degrees of freedom of a moored vessel from ocean-meteorological data and ship characteristics. The best models achieve, for the surge, sway, heave, roll, pitch and yaw movements, a 0.99, 0.99, 0.95, 0.99, 0.98 and 0.98 R2 in training and have a 0.10 m, 0.11 m, 0.09 m, 0.9°, 0.11° and 0.15° RMSE in testing, all below 10% of the corresponding movement range. Using these models with forecast data for the weather conditions and sea state and the ship characteristics and berthing location, we can predict the ship movements several days in advance. These results are good enough to reliably compare the models’ predictions with the limiting motion criteria for safe working conditions of ship (un) loading operations, helping us decide the best location for operation and when to stop operations more precisely, thus minimizing the economic impact of cargo ships unable to operate.This research was funded by the Spanish Ministry of Economy, Industry, and Competitiveness, R&D National Plan, within the project BIA2017-86738-R, the FPI predoctoral grant from the Spanish Ministry of Science, Innovation, and Universities (PRE2018-083777) and the Spanish Ministry of Science and Innovation, Retos Call, within the project PID2020-112794RB-I00

Application of scanning techniques for damage analysis in rubble mound breakwaters

Resume

Example-Based Learning: Development of Business Applications with .net Technologies

[Resumen] El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas, manuales, tutoriales, etc., que explican las diferentes alternativas o peculiaridades a la hora de su implementación. La irrupción de .NET Framework, en el ámbito empresarial, ha producido una fuerte demanda de implementación de aplicaciones bajo dicha arquitectura. Sin embargo, la cantidad o calidad de la documentación disponible dista considerablemente con respecto a la existente, su principal alternativa (J2EE). Esta laguna de documentación, es especialmente visible y preocupante cuando se establece como objetivo dar a conocer los conceptos del framework, desde un punto de vista docente, a los futuros egresados del Grado en Ingeniería en Informática. Este trabajo describe el enfoque docente seguido, para alcanzar el citado objetivo de familiarizar a los alumnos con este framework alternativo y las prácticas habituales de modelo dentro de éste. Para ello, se basa principalmente de un conjunto de sencillos tutoriales con los que mostrar los fundamentos de la tecnología y dos aplicaciones completas (miniportal y minibank) en las que se muestra cómo aplicar patrones de diseño, a la hora de abordar una aplicación empresarial.[Abstract] For a long time, J2EE has been the dominating framework for the development of business applications. This fact resulted in a rich ecosystem of tools, manuals, tutorials, etc. that explain different implementation alternatives or peculiarities. The incursion of .NET Framework in the business environment has generated a strong demand of application implementation under this architecture. However, the quantity and quality of documents available significantly differs from its main alternative (J2EE). This documentation gap is especially visible and worrying when the objective is to teach the concepts of Framework, from a teacher’s point of view, to the future graduates of the Information Systems Engineering program. This paper describes the teaching approach used in order to achieve the goal of having the students become familiar with this alternative framework and the usual model practices within it. Thus, it is based mainly on a set of basic tutorials that show the foundations of technology and two complete applications (miniportal and minibank) explaining how to apply design patterns when developing a business solution. Keywords: systems engineerin