958 resultados para Iron foundries Production control Data processing
Resumo:
El projecte ha estat realitzat a TECALUM SL, una empresa instal·lada al municipi de Tortellà (comarca de La Garrotxa) situat a uns 35 km de Girona. És una de les poques empreses de Catalunya que pertanyen al sector de la indústria metal·lúrgica, i de les úniques que es dediquen a l’extrusió i mecanitzat de l’alumini, així com al seu disseny i comercialització. El projecte se centra en l’anàlisi de la planta de mecanitzats d’alumini i la proposta de mesures correctives per millorar-ne la seva productivitat
Resumo:
Through this study, we will measure how the collective MPI operations behaves in virtual and physical clusters, and its impact on the application performance. As we stated before, we will use as a test case the Weather Research and Forecasting simulations.
Resumo:
A new ambulatory technique for qualitative and quantitative movement analysis of the humerus is presented. 3D gyroscopes attached on the humerus were used to recognize the movement of the arm and to classify it as flexion, abduction and internal/external rotations. The method was first validated in a laboratory setting and then tested on 31 healthy volunteer subjects while carrying the ambulatory system during 8 h of their daily life. For each recording, the periods of sitting, standing and walking during daily activity were detected using an inertial sensor attached on the chest. During each period of daily activity the type of arm movement (flexion, abduction, internal/external rotation) its velocity and frequency (number of movement/hour) were estimated. The results showed that during the whole daily activity and for each activity (i.e. walking, sitting and walking) the frequency of internal/external rotation was significantly higher while the frequency of abduction was the lowest (P < 0.009). In spite of higher number of flexion, abduction and internal/external rotation in the dominant arm, we have not observed in our population a significant difference with the non-dominant arm, implying that in healthy subjects the arm dominance does not lie considerably on the number of movements. As expected, the frequency of the movement increased from sitting to standing and from standing to walking, while we provide a quantitative value of this change during daily activity. This study provides preliminary evidence that this system is a useful tool for objectively assessing upper-limb activity during daily activity. The results obtained with the healthy population could be used as control data to evaluate arm movement of patients with shoulder diseases during daily activity.
Resumo:
This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is that the standard PCA techniques are designed to deal with numerical attributes, but our medical data set contains many categorical data and alternative methods as RS-PCA are required. Thus, we propose to hybridize RS-PCA (Regular Simplex PCA) and a simple CBR. Results show how the hybrid system produces similar results when diagnosing a medical data set, that the ones obtained when using the original attributes. These results are quite promising since they allow to diagnose with less computation effort and memory storage
Resumo:
The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies
Resumo:
Desarrollo detallado de la fase de aprobación de un proyecto informático mediante el desarrollo de tecnologías ágiles.
Resumo:
L’objectiu d’aquest projecte és ampliar la plataforma Starviewer integrant els mòdulsnecessaris per donar suport al diagnòstic de l’estenosi de caròtida permetentinterpretar de forma més fàcil les imatges Angiografia per Ressonància Magnètica(ARM). La plataforma Starviewer és un entorn informàtic que integra funcionalitatsbàsiques i avançades pel processament i la visualització d’imatges mèdiques. Estàdesenvolupat pel Grup d’Informàtica Gràfica de la Universitat de Girona i l’Institut deDiagnòstic per la Imatge (IDI) de l’hospital Dr. Josep Trueta. Una de les limitacions de la plataforma és el no suportar el tractament de lesions delsistema vascular. Per això ens proposem a corregir-ho i ampliar les seves extensionsper a poder diagnosticar l’estenosi de caròtida
Resumo:
El projecte se centra en el la vall d’Alinyà, en els terrenys de la Fundació Territori i Paisatge que abasten des dels cims del Port del Comte, a més de 2.000 m d’altitud fins més avall del nucli de Perles en els 500 m, en un ambient de muntanya a la comarca de l’Alt Urgell, Catalunya. L’objectiu principal ha estat diagnosticar la situació de la ramaderia extensiva de la vall, tot predient la seva viabilitat socioeconòmica com a estratègia de futur, tant pel que fa la seva població, com per les característiques d’un paisatge en mosaic molt ben afaiçonat per la mà humana en el passat. Aquesta diversitat paisatgística assegurada per l’existència de la ramaderia extensiva, provoca una riquesa en biodiversitat ecològica, en front del creixement continu de la massa forestal causat per l’abandonament de les activitats a la muntanya. Un dels aspectes estudiats de la ramaderia de la vall, ha estat la gestió dels cinc ramats existents en l’actualitat, dos de vaques, un de cabres, un d’ovelles i un de cavalls. Des de la identificació dels moviments de transtermitància durant les diferents estacions de l’any, a la de l’obtenció dels diferents recursos alimentaris pel bestiar provinents directament de la natura. Les entrevistes personals als ramaders han estat una important font d’informació i de tractament de dades per poder diagnosticar la situació actual del sector i de la figura del pastor com a figura professional clau en la vessant socioeconòmica i paisatgística local. Es van poder identificar clarament els problemes amb els quals es troba la ramaderia extensiva i quins reptes presenta per poder arribar a ser un sector de futur per a la població de la vall. En aquest context es proposen mesures de millora de l’activitat i de difusió dels productes agroramaders de qualitat.
Resumo:
El següent projecte fa un anàlisi de les principals plataformes de monitorització ambientals de codi lliure disponibles, així com la definició de les característiques funcionals i de configuració de la plataforma escollida.
Resumo:
[Table des matières] 1. Introduction. 2. Quelques définitions et indicateurs de consommation utilisés au niveau international ( Tabac, alcool, drogues illégales, médicaments, cyberdépendance). 3. Indicateurs sociodémographiques. 4. Tabac. 5. Alcool. 6. Drogues illégales. 7. Médicaments. 8. Cyberdépendance. 9. AMIS (Addiction Monitoring in Switzerland) et l'Enquête CoRoIAR (COntinuous ROlling survey on Addictive behaviours and related Risks). 10. Abréviations. 11. Annexes.
Resumo:
En aquest treball de fi de carrera s¿intentarà implementar un escenari segur client-servidor que utilitzi un proveïdor d¿identitat extern per efectuar les validacions relatives a la identitat i permisos associats d¿un client a l¿hora d¿accedir a un recurs, allotjat en un proveïdor de serveis.
Plasmacytoid dendritic cells sense skin injury and promote wound healing through type I interferons.
Resumo:
Plasmacytoid dendritic cells (pDCs) are specialized type I interferon (IFN-α/β)-producing cells that express intracellular toll-like receptor (TLR) 7 and TLR9 and recognize viral nucleic acids in the context of infections. We show that pDCs also have the ability to sense host-derived nucleic acids released in common skin wounds. pDCs were found to rapidly infiltrate both murine and human skin wounds and to transiently produce type I IFNs via TLR7- and TLR9-dependent recognition of nucleic acids. This process was critical for the induction of early inflammatory responses and reepithelization of injured skin. Cathelicidin peptides, which facilitate immune recognition of released nucleic acids by promoting their access to intracellular TLR compartments, were rapidly induced in skin wounds and were sufficient but not necessary to stimulate pDC activation and type I IFN production. These data uncover a new role of pDCs in sensing tissue damage and promoting wound repair at skin surfaces.
Resumo:
Many regions of the world, including inland lakes, present with suboptimal conditions for the remotely sensed retrieval of optical signals, thus challenging the limits of available satellite data-processing tools, such as atmospheric correction models (ACM) and water constituent-retrieval (WCR) algorithms. Working in such regions, however, can improve our understanding of remote-sensing tools and their applicabil- ity in new contexts, in addition to potentially offering useful information about aquatic ecology. Here, we assess and compare 32 combinations of two ACMs, two WCRs, and three binary categories of data quality standards to optimize a remotely sensed proxy of plankton biomass in Lake Kivu. Each parameter set is compared against the available ground-truth match-ups using Spearman's right-tailed ρ. Focusing on the best sets from each ACM-WCR combination, their performances are discussed with regard to data distribution, sample size, spatial completeness, and seasonality. The results of this study may be of interest both for ecological studies on Lake Kivu and for epidemio- logical studies of disease, such as cholera, the dynamics of which has been associated with plankton biomass in other regions of the world.
Resumo:
Proteomics has come a long way from the initial qualitative analysis of proteins present in a given sample at a given time ("cataloguing") to large-scale characterization of proteomes, their interactions and dynamic behavior. Originally enabled by breakthroughs in protein separation and visualization (by two-dimensional gels) and protein identification (by mass spectrometry), the discipline now encompasses a large body of protein and peptide separation, labeling, detection and sequencing tools supported by computational data processing. The decisive mass spectrometric developments and most recent instrumentation news are briefly mentioned accompanied by a short review of gel and chromatographic techniques for protein/peptide separation, depletion and enrichment. Special emphasis is placed on quantification techniques: gel-based, and label-free techniques are briefly discussed whereas stable-isotope coding and internal peptide standards are extensively reviewed. Another special chapter is dedicated to software and computing tools for proteomic data processing and validation. A short assessment of the status quo and recommendations for future developments round up this journey through quantitative proteomics.
Resumo:
Obesity is recognised as a global epidemic and the most prevalent metabolic disease world-wide. Specialised obesity services, however, are not widely available in Europe, and obesity care can vary enormously across European regions. The European Association for the Study of Obesity (EASO, www.easo.org) has developed these criteria to form a pan-European network of accredited EASO-Collaborating Centres for Obesity Management (EASO-COMs) in accordance with accepted European and academic guidelines. This network will include university, public and private clinics and will ensure that the obese and overweight patient is managed by a holistic team of specialists and receives comprehensive state-ofthe-art clinical care. Furthermore, the participating centres, under the umbrella of EASO, will work closely for quality control, data collection, and analysis as well as for education and research for the advancement of obesity care and obesity science.