ROM-Based Stochastic Optimization for a Continuous Manufacturing Process

This paper proposes a model-based optimization method for the production of automotive seals in an extrusion process. The high production throughput, coupled with quality constraints and the inherent uncertainty of the process, encourages the search for operating conditions that minimize nonconformities. The main uncertainties arise from the process variability and from the raw material itself. The proposed method, based on Bayesian optimization, takes these factors into account and obtains a robust set of process parameters. Due to the high computational cost and complexity of performing detailed simulations, a reduced order model is used to address the optimization. The proposal has been evaluated in a virtual environment where it is shown that the performance of the solution found minimizes the effects of process uncertainties.Comment: 7 pages, 8 figure

Análisis y puesta en marcha de una plataforma triaxial como demostrador tecnológico

El trabajo fin de grado tiene como objetivo dotar al Laboratorio de Estructuras y Sistemas Inteligentes del Instituto Tecnológico de Aragón de una plataforma triaxial.El trabajo realizado servirá para mostrar el proceso de diseño basado en modelos (MBDE) con un sistema que aúna distintos componentes y tecnologías. Para aumentar la visibilidad del dispositivo y su posterior uso como demostrador, se incluirá el control de la posición de una bola colocada sobre la plataforma, cerrándose el bucle de control mediante una cámara.El proyecto se realizará tomando un concepto pre-existente y realizando su análisis y puesta en marcha siguiendo la metodología de diseño basado en V: verificación modular del diseño usando simulación, verificación experimental de cada componente, montaje del sistema completo y validación completa.Los pasos que se van a seguir son: revisión de soluciones tecnológicas para plataformas triaxiales; características técnicas del diseño seleccionado; revisión y validación software; análisis cinemático basado en modelos; verificación modular del sistema de control; montaje, puesta en marcha y validación del sistema completo.<br /

Impact of antibiotic resistance on outcomes of neutropenic cancer patients with Pseudomonas aeruginosa bacteraemia (IRONIC study): study protocol of a retrospective multicentre international study

WOS: 000471192800144PubMed ID: 31129580Introduction Pseudomonas aeruginosa (PA) has historically been one of the major causes of severe sepsis and death among neutropenic cancer patients. There has been a recent increase of multidrug-resistant PA (MDRPA) isolates that may determine a worse prognosis, particularly in immunosuppressed patients. The aim of this study is to establish the impact of antibiotic resistance on the outcome of neutropenic onco-haematological patients with PA bacteraemia, and to identify the risk factors for MDRPA bacteraemia and mortality. Methods and analysis This is a retrospective, observational, multicentre, international study. All episodes of PA bacteraemia occurring in neutropenic onco-haematological patients followed up at the participating centres from 1 January 2006 to 31 May 2018 will be retrospectively reviewed. The primary end point will be overall case-fatality rate within 30 days of onset of PA bacteraemia. The secondary end points will be to describe the following: the incidence and risk factors for multidrug-resistant and extremely drug-resistant PA bacteraemia (by comparing the episodes due to susceptible PA with those produced by MDRPA), the efficacy of ceftolozane/tazobactam, the rates of persistent bacteraemia and bacteraemia relapse and the risk factors for very early (48 hours), early (7 days) and overall (30 days) case-fatality rates. Ethics and dissemination The Clinical Research Ethics Committee of Bellvitge University Hospital approved the protocol of the study at the primary site. To protect personal privacy, identifying information of each patient in the electronic database will be encrypted. The processing of the patients' personal data collected in the study will comply with the Spanish Data Protection Act of 1998 and with the European Directive on the privacy of data. All data collected, stored and processed will be anonymised. Results will be reported at conferences and in peer-reviewed publications.Plan Nacional de I+ D+ i 2013-2016; Instituto de Salud Carlos III, Subdireccion General de Redes y Centros de Investigacion Cooperativa, Ministerio de Economia, Industria y Competitividad, Spanish Network for Research in Infectious Diseases [REIPI RD16/0016/0001]; European Development Regional Fund "A way to achieve Europe", Operative Programme Intelligent Growth 2014-2020This study was supported by Plan Nacional de I+ D+ i 2013-2016 and Instituto de Salud Carlos III, Subdireccion General de Redes y Centros de Investigacion Cooperativa, Ministerio de Economia, Industria y Competitividad, Spanish Network for Research in Infectious Diseases (REIPI RD16/0016/0001) and co-financed by European Development Regional Fund "A way to achieve Europe", Operative Programme Intelligent Growth 2014-2020