Search results for "working"

Characterization of dual-polarization analogue radio over fiber fronthaul for LTE C-RAN architecture

2016

En este artículo se presentan los resultados de la medición ampliada de la radio analógica de doble polarización (DP) sobre fibra (RoF) en una arquitectura de red de acceso radio en la nube (C-RAN) de evolución a largo plazo (LTE). Esta técnica se propone para las conexiones de fibra entre las oficinas centrales y las estaciones base remotas. Se investigan varias longitudes de fibra óptica para determinar el mejor rendimiento del sistema en términos de magnitud de vector de error (EVM) y tasa de error de bit. La distancia máxima alcanzada para el caso de un ancho de banda LTE de 20 MHz es de 50 km, mostrando un valor de EVM admisible del 8,5% a la frecuencia de radio de 2,6 GHz cuando se ut…

Traveling Together as a Couple: Gender, Diplomacy, and Cultural Mediation in the Life of the Countess of Fernán Núñez, Spanish Ambassadress in Lisbon…

2023

Este artículo profundiza en el papel jugado por las mujeres como mediadoras culturales en el siglo XVIII. Su punto de partida es la figura poco conocida de María, condesa de Fernán Núñez, embajadora de España en Portugal (1777-1787) y Francia (1787-1791), quien llevó una vida transnacional marcada por viajes, cortes internacionales y embajadas, todos espacios de sociabilidad tradicionalmente vinculados al estudio de la mediación cultural, ámbito que en los últimos años ha comenzado a ser estudiado desde la perspectiva de género. La experiencia de la condesa arroja luz sobre las contribuciones de las esposas de los embajadores y diplomáticos a la vida política y cultural europea y sobre las …

A New FEC Scheme for Real-time Transmission of High Definition Video over IP Network

2007

Increasing the applicability of ubiquitous computing, minimizing energy consumption and hardware cost are mandatory in real world applications. In this paper we present our platform prototype for ubiquitous computing, which has been implemented based on commercial Bluetooth off-the-shelf components. It allows every object to be augmented with processing and communication capabilities in order to make them "smart". We validate our proposal by evaluating the trade-off between power consumption and performance of the experimental prototype.

Cruise passengers' experiences in a Mediterranean port of call. The case study of Valencia

2014

Most cruise tourism studies have been restricted to one geographical region, the Caribbean, to a single cruise line, and to onboard experiences. Despite their relevance there has been little research on the Mediterranean region, on specific ports of call and on off-board experience. Furthermore, in the cruise context, there have been no studies on the role of culture in consumer behavior. Hoping to help fill this void, this research analyzed the influence of cruise passengers' image of a Mediterranean port of call on visit satisfaction and future behavioral intentions, and the moderating role of culture in causal relationships among these constructs. Data were collected in the port of Valen…

“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

2013

This paper submits a comprehensive report of the use of order statistics (OS) for parametric pattern recognition (PR) for various distributions within the exponential family. Although the field of parametric PR has been thoroughly studied for over five decades, the use of the OS of the distributions to achieve this has not been reported. The pioneering work on using OS for classification was presented earlier for the uniform distribution and for some members of the exponential family, where it was shown that optimal PR can be achieved in a counter-intuitive manner, diametrically opposed to the Bayesian paradigm, i.e., by comparing the testing sample to a few samples distant from the mean. A…

LanguageLab - A Meta-modelling Environment

2015

In the LanguageLab language workbench, we build on a component-based approach to language specification that facilitates the specification of all aspects of a computer language in a consistent manner, taking into account best practices in meta-modelling and language design. The workbench allows operation on a suitable abstraction level, and also focuses on user-friendliness and a low threshold to getting started, in order to make it useful for teaching of meta-modelling and language design and specification. The platform is open for third party language modules and facilitates rapid prototyping of DSLs, re-use of language modules, and experiments with multiple concrete syntaxes. The platfor…

Bot recognition in a Web store: An approach based on unsupervised learning

2020

Abstract Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots) which pose a threat to the website security, privacy, and performance. To develop efficient bot detection methods and discover reliable e-customer behavioural patterns, the accurate separation of traffic generated by legitimate users and Web bots is necessary. This paper proposes a machine learning solution to the problem of bot and human session classification, with a specific application to e-commerce. The approach studied in this work explores the use of unsupervised learning (k-means and Graded Possibilistic c-Means), followed by supervised labelling of clusters, a generative learning stra…

Increasing the attractiveness of a cruise port for cargo business: The contribution of stakeholders

2021

Abstract Cruise and cargo operations, though distinct seaport activities, have sufficiently similar functions that by accommodating cargo business in a largely cruise domain, a port may achieve increased attractiveness and better resource utilization. We sought to conceptualize a framework by which an existing cruise port can integrate divergent stakeholder interests to achieve port attractiveness under this duality. We adopted a qualitative approach involving in-depth interviews with experts representing the port authority and key stakeholders at Port Canaveral, the second busiest multi-day cruise embarkation port in the world. We identified a supply chain integration model as a pathway to…

2021

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception. It puts a tremendous strain on society by damaging reputation, public trust, freedom of expression, journalism, justice, truth, and democracy. Therefore, it is of paramount importance to detect and contain unreliable information. Multiple techniques have been proposed to detect fake news propagation in tweets based on tweets content, propagation on the network of users, and the profile of the news generators. Generating human-like content allows deceiving content-based methods. Networ…

WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach

2020

The huge number of modern social network users has made the web a fertile ground for the growth and development of a plethora of recommender systems. To date, recommending a new user profile X to a given user U that could be interested in creating a relationship with X has been tackled using techniques based on content analysis, existing friendship relationships and other pieces of information coming from different social networks or websites. In this paper we propose a recommending architecture - called WhoSNext (WSN) - tested on Twitter and which aim is promoting the creation of new relationships among users. As recent researches show, this is an interesting recommendation problem: for a …