Tape surfaces characterization with persistence images

The aim of this paper is to leverage the main surface topological descriptors to classify tape surface profiles, through the modelling of the evolution of the degree of intimate contact along the consolidation of pre-impregnated preforms associated to a composite forming process. It is well-known at an experimental level that the consolidation degree strongly depends on the surface characteristics (roughness). In particular, same process parameters applied to di erent surfaces produce very di erent degrees of intimate contact. It allows us to think that the surface topology plays an important role along this process. However, solving the physics-based models for simulating the roughness squeezing occurring at the tapes interface represents a computational e ort incompatible with online process control purposes. An alternative approach consists of taking a population of di erent tapes, with di erent surfaces, and simulating the consolidation for evaluating for each one the progression of the degree of intimate contact –DIC– while compressing the heated tapes, until reaching its final value at the end of the compression. The final goal is creating a regression able to assign a final value of the DIC to any surface, enabling online process control. The main issue of such an approach is the rough surface description, that is, the most precise and compact way of describing it from some appropriate parameters easy to extract experimentally, to be included in the just referred regression. In the present paper we consider a novel, powerful and very promising technique based on the topological data analysis –TDA– that considers an adequate metrics to describe, compare and classify rough surfaces

Leveraging data-driven infrastructure management to facilitate AIOps for big data applications and operations

As institutions increasingly shift to distributed and containerized application deployments on remote heterogeneous cloud/cluster infrastructures, the cost and difficulty of efficiently managing and maintaining data-intensive applications have risen. A new emerging solution to this issue is Data-Driven Infrastructure Management (DDIM), where the decisions regarding the management of resources are taken based on data aspects and operations (both on the infrastructure and on the application levels). This chapter will introduce readers to the core concepts underpinning DDIM, based on experience gained from development of the Kubernetes-based BigDataStack DDIM platform (https://bigdatastack.eu/). This chapter involves multiple important BDV topics, including development, deployment, and operations for cluster/cloud-based big data applications, as well as data-driven analytics and artificial intelligence for smart automated infrastructure self-management. Readers will gain important insights into how next-generation DDIM platforms function, as well as how they can be used in practical deployments to improve quality of service for Big Data Applications. This chapter relates to the technical priority Data Processing Architectures of the European Big Data Value Strategic Research & Innovation Agenda [33], as well as the Data Processing Architectures horizontal and Engineering and DevOps for building Big Data Value vertical concerns. The chapter relates to the Reasoning and Decision Making cross-sectorial technology enablers of the AI, Data and Robotics Strategic Research, Innovation & Deployment Agenda [34]

Informe a la H. Sala de Representantes por la Comision de Cuentas

Report by the Audit Commission to the Sala de Representantes, with reference to the general administration of the revenues of the province of Buenos Aires for the years 1828 to 1832. Includes details of revenues, extraordinary resources, the distribution of incomes, stocks at the close of 1832, the lending and borrowing of the treasury, the objections put forward, liquidated and suspended charges, businesses that are pending, and a draft decree. Signed Juan Antonio Argerich, Pedro Trapani and Agustin Garrigos. Contains handwritten notes in the margin

Estudio sobre el chancro infectante : Tesis para el Doctorado en Medicina

Incluye nómina de Catedráticos y Asignaturas. Tesis con dedicatori

Colonias de verano 1985

La experiencia consiste en ir durante cinco días de vacaciones a un pueblo de Guadarrama. Se pretende posibilitar la convivencia grupal entre niños de diferentes edades en un medio físico diferente al acostumbrado, potenciar la actividad escolar como otra formación educativa, e incorporar a las familias a la dinámica lúdica. Las actividades que los niños realizan son básicamente la toma de contacto con el lugar, hacer marchas por los alrededores, conocer el pueblo y un parque natural y reunirse en la hora de las comidas. El resultado global de la experiencia es plenamente satisfactorio, tanto para los niños como para los mayores..Madrid (Comunidad Autónoma). Consejería de EducaciónMadridMadrid (Comunidad Autónoma). Subdirección General de Formación del Profesorado. CRIF Las Acacias; General Ricardos 179 - 28025 Madrid; Tel. + 34915250893ES