19,889 research outputs found
Managing relational capital for the sustainability of the energy sector in the social media
Various management models have been proposed for intangible business assets in this new digital era. However, these models do not consider the relationships between intangible assets in business management, or their effect. This work has two main objectives: first, to show the effect of intangi-ble assets as expressed in digital media related to energy brands; second, to demonstrate the rela-tionships between the emotions, experiences and attitudes of the audiences. To do so, a novel model of intangibles is proposed and applied to the energy sector using IBEX 35 data. In this sce-nario, we determine that users' experiences extracted from digital environments have significant relationships with one of the most important intangibles in the energy business, namely emotion.Vários modelos de gestão foram propostos para ativos de negócios intangíveis nesta nova era digital. No entanto, esses modelos não
consideram as relações entre ativos intangíveis na gestão ou os seus
efeitos. Este estudo tem dois objetivos principais: primeiro, mostrar o
efeito dos ativos intangíveis expressos nos meios digitais relacionados
com as marcas associadas ao setor económico da energia; segundo,
demonstrar as relações entre as emoções, experiências e atitudes do
público. Para esse efeito, é proposto um novo modelo de gestão de
intangíveis aplicado ao setor de energia utilizando dados do IBEX 35.
Nesse cenário, concluímos que as experiências dos utilizadores
extraídas de ambientes digitais têm relacionamentos significativos com
um dos intangíveis mais importantes no negócio de energia, ou seja, a
emoção.info:eu-repo/semantics/publishedVersio
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem
As a consequence of the growing popularity of smart mobile devices, mobile
malware is clearly on the rise, with attackers targeting valuable user
information and exploiting vulnerabilities of the mobile ecosystems. With the
emergence of large-scale mobile botnets, smartphones can also be used to launch
attacks on mobile networks. The NEMESYS project will develop novel security
technologies for seamless service provisioning in the smart mobile ecosystem,
and improve mobile network security through better understanding of the threat
landscape. NEMESYS will gather and analyze information about the nature of
cyber-attacks targeting mobile users and the mobile network so that appropriate
counter-measures can be taken. We will develop a data collection infrastructure
that incorporates virtualized mobile honeypots and a honeyclient, to gather,
detect and provide early warning of mobile attacks and better understand the
modus operandi of cyber-criminals that target mobile devices. By correlating
the extracted information with the known patterns of attacks from wireline
networks, we will reveal and identify trends in the way that cyber-criminals
launch attacks against mobile devices.Comment: Accepted for publication in Proceedings of the 28th International
Symposium on Computer and Information Sciences (ISCIS'13); 9 pages; 1 figur
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