A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks

This paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio (CR) networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks (SBs) and relies on a smart analysis of the scenario dynamicity to properly determine an adequate observation strategy to balance the tradeoff between achievable performance and measurement requirements. In this respect, the paper shows that the interference dynamics in a given SB can be properly characterized through the second highest eigenvalue of the interference state transition matrix. Therefore, this indicator is retained in the proposed framework as a relevant parameter to drive the selection of both the observation strategy and spectrum selection decision-making criterion. This paper evaluates the proposed framework to illustrate the capability to properly choose among a set of possible observation strategies under different scenario conditions. Furthermore, a comparison against other state-of-the-art solutions is presented

On Demonstrating Spectrum Selection Functionality for Opportunistic Networks

This paper presents a testbed platform to demonstrate and validate spectrum opportunity identification and spectrum selection functionalities in Opportunistic Networks (ONs). The hardware component of the testbed is based on reconfigurable devices able to transmit and receive data at different operating frequencies, which are dynamically configured. The software component has been developed to perform the creation and maintenance of ON radio links, including spectrum opportunity identification and selection decision making as well as all the necessary signaling to support the ON operation. Therefore, the presented platform provides a powerful tool for testing different algorithms in real operational radio environments under various interference conditions, thus enabling to gain deeper insight into the performance of algorithmic solutions, beyond the purely theoretical analyses based on models and/or simulations. Results presented in the paper validate the implementation conducted at the laboratory and illustrate the reconfigurability capabilities of the ON links under different conditions

How 3D patient-specific instruments improve accuracy of pelvic bone tumour resection in a cadaveric study

To assess the accuracy of patient-specific instruments (PSIs) versus standard manual technique and the precision of computer-assisted planning and PSI-guided osteotomies in pelvic tumour resection. CT scans were obtained from five female cadaveric pelvises. Five osteotomies were designed using Mimics software: sacroiliac, biplanar supra-acetabular, two parallel iliopubic and ischial. For cases of the left hemipelvis, PSIs were designed to guide standard oscillating saw osteotomies and later manufactured using 3D printing. Osteotomies were performed using the standard manual technique in cases of the right hemipelvis. Post-resection CT scans were quantitatively analysed. Student's t -test and Mann-Whitney U test were used. Compared with the manual technique, PSI-guided osteotomies improved accuracy by a mean 9.6 mm (p 5 mm and 27% (n = 8) were > 10 mm. In the PSI cases, deviations were 10% (n = 3) and 0 % (n = 0), respectively. For angular deviation from pre-operative plans, we observed a mean improvement of 7.06° (p < 0.001) in pitch and 2.94° (p < 0.001) in roll, comparing PSI and the standard manual technique. In an experimental study, computer-assisted planning and PSIs improved accuracy in pelvic tumour resections, bringing osteotomy results closer to the parameters set in pre-operative planning, as compared with standard manual techniques. Cite this article : A. Sallent, M. Vicente, M. M. Reverté, A. Lopez, A. Rodríguez-Baeza, M. Pérez-Domínguez, R. Velez. How 3D patient-specific instruments improve accuracy of pelvic bone tumour resection in a cadaveric study. Bone Joint Res 2017;6:577-583. DOI: 10.1302/2046-3758.610.BJR-2017-0094.R1

Plan de empresa e-pickpoint

Master Interuniversitario en Administración y Dirección de Empresas. MBA. Septiembre 2006Epck es un proyecto de negocio de distribución logística que pretende poner al alcance de las empresas de venta a distancia y e-commerce toda una red de puntos de entrega, donde éstas puedan librar las compras de sus clientes de una forma más económica, cómoda y ágil. Nuestro proyecto pretende unir en un solo punto las entregas de varios clientes, reduciendo así el coste del transporte de cada entrega. Para implantar de forma rápida una extensa red de puntos de entrega con un amplio horario de atención al público vamos a utilizar la red de quioscos ya existentes, y para reducir el coste de transporte de los envíos hasta los quioscos vamos a utilizar la capacidad ociosa de entrega que tienen las compañías distribuidoras de prensa. La actividad principal de nuestra empresa será, por consiguiente, encontrar clientes que deseen utilizar este sistema de entrega y gestionar sus envíos desde que salen de su almacén hasta que el consumidor los recoge en uno de nuestros puntos de entrega, ofreciéndoles trazabilidad del paquete y informando al consumidor final en el momento en que el envío este disponible en el punto de entrega. Para realizar toda esta operativa nuestra empresa dispondrá, el primer año, de un centro logístico donde clasificará los envíos por puntos de entrega. A medida que la empresa vaya aumentado su cobertura geográfica incrementará el número de centros logísticos, situándolos estratégicamente en función de la localización de sus clientes con el objetivo de reducir sus costes al máximo. Nuestro mercado potencial estará formado por todos aquellos envios de productos (no precederos ni de gran volumen) que realizan las empresas de venta a distancia y ecommerce. Según nuestras estimaciones el volumen total de este mercado a nivel nacional es de 24.800.000 operaciones, y nuestras previsiones de venta intentarán alcanzar al final del año 2012 cerca del 7% del total de estas operaciones. Nuestra estrategia pretende enfocar el negocio como un servicio eficiente, seguro y de alto valor añadido para los consumidores y para nuestros clientes. Nuestro precio será más económico que el de nuestros competidores, aún así no pretendemos dar una imagen de compañía barata, queremos que tanto los consumidores como nuestros clientes valoren las ventajas que el servicio de epck les aporta

AI-powered edge computing evolution for beyond 5G communication networks

Edge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial Intelligence (AI) capabilities for advanced automation and orchestration, edge computing can enable a wide range of emerging applications with extreme requirements in terms of latency and computation, across multiple vertical domains. In this context, this paper first discusses the key technological challenges for the seamless integration of edge computing within B5G/6G and then presents a roadmap for the edge computing evolution, proposing a novel design approach for an open, intelligent, trustworthy, and distributed edge architecture.VERGE has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101096034.Peer ReviewedPostprint (author's final draft

Pasquale del Pezzo, Duke of Caianello, Neapolitan mathematician

This article is dedicated to a reconstruction of some events and achievements, both personal and scientific, in the life of the Neapolitan mathematician Pasquale del Pezzo, Duke of Caianello

Validation platform implementation description - D5.2

This deliverable describes different test-beds for the validation of the architecture, algorithms and protocols for the operator governed opportunistic networking as defined in the OneFIT Project. Further on, this deliverable provides a description of the implementation of the OneFIT cognitive management systems CSCI and CMON as well as the C4MS protocol. Also, implementation of the blocks supporting the OneFIT system (JRRM, CCM, DSONPM, and DSM) is described. This document also describes the implementation of the OneFIT scenarios for opportunistic coverage extension, opportunistic capacity extension, infrastructure supported ad-hoc networking and device-to-device communication as well as opportunistic resource aggregation in the backhaul network

Results analysis and validation - D5.3

This deliverable describes the validation processes followed to assess the performance of the algorithms and protocols for the operator governed opportunistic networking as defined in the OneFIT Project. Therefore, this document includes the description of the set-up of the different validation platforms, the design of the test plans for each one of them, and the analysis of the results obtained from the tests. A per-scenario approach rather than a per-platform approach has been followed, so an additional analysis has been performed, gathering the results related to each scenario, in order to validate the premises stated to each one of them. The OneFIT concept has been therefore validated for all foreseen business scenarios