Entorno tecnológico: servidores

[ES]En este capítulo se presentan los principales conceptos relacionados con los entornos tecno-lógicos más usados en el desarrollo de aplicaciones web. Se presenta un breve resumen enumerando las principales tecnologías utilizadas en el desarrollo de aplicaciones web basadas en servidores.[EN]This chapter presents the main concepts related to the technological environments most used in the development of web applications. It presents a brief summary listing the main technologies used in the development of web applications based on servers

Horizontally distributed inference of deep neural networks for AI-enabled IoT

Motivated by the pervasiveness of artificial intelligence (AI) and the Internet of Things (IoT) in the current “smart everything” scenario, this article provides a comprehensive overview of the most recent research at the intersection of both domains, focusing on the design and development of specific mechanisms for enabling a collaborative inference across edge devices towards the in situ execution of highly complex state-of-the-art deep neural networks (DNNs), despite the resource-constrained nature of such infrastructures. In particular, the review discusses the most salient approaches conceived along those lines, elaborating on the specificities of the partitioning schemes and the parallelism paradigms explored, providing an organized and schematic discussion of the underlying workflows and associated communication patterns, as well as the architectural aspects of the DNNs that have driven the design of such techniques, while also highlighting both the primary challenges encountered at the design and operational levels and the specific adjustments or enhancements explored in response to them.Agencia Estatal de Investigación | Ref. DPI2017-87494-RMinisterio de Ciencia e Innovación | Ref. PDC2021-121644-I00Xunta de Galicia | Ref. ED431C 2022/03-GR

A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: using machine learning and graph analysis methodologies to reconstruct the bibliome

Background In return for their nutritional properties and broad availability, cereal crops have been associated with different alimentary disorders and symptoms, with the majority of the responsibility being attributed to gluten. Therefore, the research of gluten-related literature data continues to be produced at ever-growing rates, driven in part by the recent exploratory studies that link gluten to non-traditional diseases and the popularity of gluten-free diets, making it increasingly difficult to access and analyse practical and structured information. In this sense, the accelerated discovery of novel advances in diagnosis and treatment, as well as exploratory studies, produce a favourable scenario for disinformation and misinformation. Objectives Aligned with, the European Union strategy “Delivering on EU Food Safety and Nutrition in 2050″ which emphasizes the inextricable links between imbalanced diets, the increased exposure to unreliable sources of information and misleading information, and the increased dependency on reliable sources of information; this paper presents GlutKNOIS, a public and interactive literature-based database that reconstructs and represents the experimental biomedical knowledge extracted from the gluten-related literature. The developed platform includes different external database knowledge, bibliometrics statistics and social media discussion to propose a novel and enhanced way to search, visualise and analyse potential biomedical and health-related interactions in relation to the gluten domain. Methods For this purpose, the presented study applies a semi-supervised curation workflow that combines natural language processing techniques, machine learning algorithms, ontology-based normalization and integration approaches, named entity recognition methods, and graph knowledge reconstruction methodologies to process, classify, represent and analyse the experimental findings contained in the literature, which is also complemented by data from the social discussion. Results and conclusions In this sense, 5814 documents were manually annotated and 7424 were fully automatically processed to reconstruct the first online gluten-related knowledge database of evidenced health-related interactions that produce health or metabolic changes based on the literature. In addition, the automatic processing of the literature combined with the knowledge representation methodologies proposed has the potential to assist in the revision and analysis of years of gluten research. The reconstructed knowledge base is public and accessible at https://sing-group.org/glutknois/Fundação para a Ciência e a Tecnologia | Ref. UIDB/50006/2020Xunta de Galicia | Ref. ED481B-2019-032Xunta de Galicia | Ref. ED431G2019/06Xunta de Galicia | Ref. ED431C 2022/03Universidade de Vigo/CISU

Entorno tecnológico (alternativas)

[ES]Con el nacimiento de la World Wide Web (WWW) se creó un sistema de documentos de hipertexto enlazados mediante hipervínculos para poder acceder por medio de internet. La gran diversidad de navegadores y servidores Web que han surgido desde la creación de la WWW hace que sea importante mantener unos estándares con el fin de maximizar la compatibilidad e interoperabilidad entre todos ellos. Como ya se ha comentado, el organismo responsable de mantener la mayor parte de estos estándares es el World Wide Web Consortium (W3C), cuyo director desde el año 2007 es Tim Berners-Lee. En este capitulo vamos a repasar los principales protocolos de la WWW y, las tecnologías web asociados a ellos[EN]With the growth of the World Wide Web (WWW) a system of hyperlinked hypertext docu-ments was created for access via the Internet. The great diversity of browsers and Web servers that have emerged since the creation of the WWW makes it important to maintain standards in order to maximize compatibility and interoperability among them all. As already mentioned, the body responsible for maintaining most of these standards is the World Wide Web Consortium (W3C), whose director since 2007 is Tim Berners-Lee. In this chapter we will review the main protocols of the WWW and the web technologies associated with them

FSfRT: Forecasting system for red tides. A Hybrid Autonomous AI Model

A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behavior of the system can be a problematic task. In such a situation, it has been found that a hybrid case-based reasoning system can provide a more effective means of performing such predictions than other connectionist or symbolic techniques. The system employs a case-based reasoning model that incorporates a growing cell structures network, a radial basis function network, and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used at a different stage of the reasoning cycle of the case-based reasoning system to retrieve historical data, to adapt it to the present problem, and to review the proposed solution. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments, in which the system operated in a real environment, are presente

Forecasting red tides using an hybrid neuro-symbolic system

A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The system employs a case-based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used in a different stage of the reasoning cycle of the case-based reasoning system to retrieve, adapt and review the proposed solution to the present problem. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments are presented

FSfRT: Forecasting System for Red Tides

A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. In such a situation, it has been found that a hybrid case-based reasoning system can provide a more effective means of performing such predictions than other connectionist or symbolic techniques. The system employs a case-based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used at a different stage of the reasoning cycle of the case-based reasoning system to retrieve historical data, to adapt it to the present problem and to review the proposed solution. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments, in which the system operated in a real environment, are presented

Sistemas híbridos neuro-simbólicos: una revisión.

Este artículo presenta una revisión general de los sistemas híbridos neuro-simbólicos de inteligencia artificial, centrándose en aquellos compuestos por Sistemas de Razonamiento Basados en Casos (CBR) y Redes Neuronales Artificiales (ANN). Un sistema híbrido de inteligencia artificial está formado por la integración de varios subsistemas inteligentes, los cuales colaboran entre sí y se influyen mutuamente. En este artículo se muestran varias clasificaciones de estos sistemas, prestando especial atención a las características distintivas de cada uno de los subsistemas que componen los modelos híbridos

CBR based system for forecasting red tides

A hybrid neuro-symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The system employs a case-based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used in a different stage of the reasoning cycle of the case-based reasoning system to retrieve, adapt and review the proposed solution to the present problem. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments are presented

Entorno tecnológico (Lenguajes)

[ES]Los lenguajes de programación son lo que nos permite programar a las maquinas para que realicen las tareas que necesitamos. Dentro de los lenguajes de programación están los de alto nivel (los mas cercanos al lenguaje humano) y los de bajo nivel (los mas cercanos al lenguaje maquina). Además, estos lenguajes pueden estar enfocados a las aplicaciones, a las paginas web o a las aplicaciones de los movieres. En este capitulo se presenta PHP un lenguaje de alto nivel desarrollado específicamente para realizar paginas web. Por último, se completa el capitulo con un caso de uso de la interacción del len-guaje PHP con una base de datos.[EN]Programming languages are what allow us to program machines to perform the tasks we need. Among the programming languages are high level (the closest to human language) and low level (the closest to machine language). In addition, these languages can be focused on applications, web pages or mobile applications. In this chapter PHP is presented a high level language developed specif-ically to make web pages. Finally, the chapter is completed with a case of the use of PHP language interaction with a database