933 resultados para Trusted platform module
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Managing an online reputation is critical to higher education. Universities cannot afford to lose enrolment numbers by neglecting to monitor, control, promote and enhance their online presence. It is critical that universities measure their social media reputation scores and presence on the web, as well as those of their competitors. Universities need to continuously review their social engagement strategy and online reputation to ensure they maximize all opportunities to maintain, and improve student enrolment and retention. Universities have embraced social media to enhance their brand reputation. This study examines the use of social media and its effects from a global perspective. It analysed 90 universities in three geographical areas to assess the impact and level of online social media, especially as it relates to “university brand reputation.” Results of the study indicated there was a wide variation among the three geographical regions, and within countries in the three geographical regions. Use of social media communication tools such as Twitter and Google+ by active users also varied widely depending upon country and region.
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We will consider the architecture of the communication platform prototype, "World Cultures in English(es)" (WCE), in relation to the interaction among different types of media and audiences. Such an architecture has emphasized the need for an interdisciplinary team of scholars, librarians, and Information Technology experts who have conceived the prototype. This prototype was developed using PHP and MySQL, and is based on the University of Lisbon server. The "World Cultures in English(es)" is an Open Access platform bringing together different types of documents—written, audio, visual, multimedia, and electronic—and aims at educational, cultural, social, and economic inclusiveness, namely in terms of users with special needs. The WCE platform strongly implies social commitment through reliable information and forms of communication adequate to different kinds of audiences. The "World Cultures in English(es)" prototype will be tested by different audiences from different schools and universities, leading to the necessary adjustments.
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LGVs are of ever-greater importance in terms of the final delivery of many time-critical, high value goods and are also widely used in industries that provide a wide range of critical support services. There are almost five times as many LGVs as there are HGVs (goods vehicles over 3.5 tonnes gross vehicle weight) currently licensed in Britain. The LGV fleet in Britain is growing at a faster rate than the HGV fleet, and the LGV fleet travels more than twice as many vehicle kilometres each year than the total HGV fleet. LGVs perform a far greater proportion of their total distance travelled in urban areas than HGVs, and consume 25% of the total diesel and 3% of the total petrol used by all motorised road transport vehicles in Britain.
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The review illustrates the importance of road movements in goods distribution in urban areas. It highlights the major economic, environmental and social impacts associated with this freight activity and reviews policy options available to those responsible for regulation. A wide range of possible solutions to problems posed by urban freight operations are also covered including approaches related to: consolidation, facilities, vehicle design, information capture and utilisation, and non-road modes.
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One big challenge in deploying games-based learning, is the high cost and specialised skills associated with customised development. In this paper we present a serious games platform that offers tools that allow educators without special programming or artistic skills to dynamically create three dimensional (3D) scenes and verbal and non-verbal interaction with fully embodied conversational agents (ECAs) that can be used to simulate numerous educational scenarios. We present evaluation results based on the use of the platform to create two educational scenarios for politics and law in higher education. We conclude with a discussion of directions for the further work.
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The infrastructure cloud (IaaS) service model offers improved resource flexibility and availability, where tenants - insulated from the minutiae of hardware maintenance - rent computing resources to deploy and operate complex systems. Large-scale services running on IaaS platforms demonstrate the viability of this model; nevertheless, many organizations operating on sensitive data avoid migrating operations to IaaS platforms due to security concerns. In this paper, we describe a framework for data and operation security in IaaS, consisting of protocols for a trusted launch of virtual machines and domain-based storage protection. We continue with an extensive theoretical analysis with proofs about protocol resistance against attacks in the defined threat model. The protocols allow trust to be established by remotely attesting host platform configuration prior to launching guest virtual machines and ensure confidentiality of data in remote storage, with encryption keys maintained outside of the IaaS domain. Presented experimental results demonstrate the validity and efficiency of the proposed protocols. The framework prototype was implemented on a test bed operating a public electronic health record system, showing that the proposed protocols can be integrated into existing cloud environments.
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The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.
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Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.
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With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.
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Dissertação de natureza científica para obtenção do grau de Mestre em Engenharia Informática e de Computadores
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Trabalho de projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores
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Trabalho Final de Mestrado elaborado no Laboratório Nacional de Engenharia Civil (LNEC) para a obtenção do grau de Mestre em Engenharia Civil pelo Instituto Superior de Engenharia de Lisboa no âmbito do protocolo de cooperação entre o ISEL e o LNEC