Search results for "NETWORKING"
showing 10 items of 1776 documents
Expansive Voronoi Tree: A Motion Planner for Assembly Sequence Planning
2021
One major challenge in Assembly Sequence Planning (ASP) for complex real-world CAD-scenarios is to find an appropriate disassembly path for each assembled part. Complex real-world scenes are characterized by a large installation space. There each part has many different possible disassembly paths that differ in length and clearance. However, due to tight packing in the installation space, these paths can contain narrow passages. Therefore a motion planner is needed that is able to globally search for a reasonable path and to locally overcome narrow passages. Moreover, since motion planning requests are executed in the ASP context over and over again for many parts, both for those that can b…
IoT-MAAC: Multiple Attribute Access Control for IoT environments
2020
Access Control is an important security service that should be considered in IoT environments in order to offer reliable IoT services. Access control in IoT environments concerns not only the access of IoT users to IoT services and objects, but also the access of IoT objects to IoT gateways. In this paper, we specify an access control mechanism that considers the access of IoT objects to IoT gateways in order to enhance the reliability of IoT data provided by the IoT objects. Our proposed access control mechanism, called IoT-MAAC (Multi Attribute Access Control), allows retrieving requested data from the most reliable and secured IoT objects among the available objects in the IoT environmen…
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…
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…