3,170 research outputs found
Quasi-omniscient networks: scenarios on context capturing and new services through wireless sensor networks
This paper addresses future scenarios for the telecommunications field, addressing the impact of three important research trends in computer networks: Context, Sensors and Wireless Networks. The proposed scenarios clearly highlight the possible synergies between the defined areas, and describe the role of Users and Network Operators in order to achieve the described goals. The potential danger of an over-encompassing network is identified, with a brief discussion on the challenges associated to the implementation of such a knowledge-aware communications network. The paper finalizes presenting a classification on the typical scenarios to be expected, and highlighting the associated challenges. It also presents a proposal on a scalable network infrastructure for Context processing
Envolvimento parental e orientação motivacional na prática desportiva : desenvolvimento de instrumentos de avaliação e análise das percepções de pais e atletas
Este trabalho analisa a relação entre a influência parental e a motivação no desporto, desenvolvendo dois instrumentos (com versões para pais e atletas) relacionados com os comportamentos parentais no desporto (quatro factores) e as orientações motivacionais na prática desportiva (dois factores). Os resultados obtidos para os atletas evidenciaram: maior apoio parental nas modalidades individuais; maior apoio e influência técnica e menos reacções negativas por parte dos pais nos escalões iniciais de formação e maior apoio parental nos atletas sem reprovações escolares. No caso dos pais, verificou-se um padrão semelhante de resultados na divisão por escalão de formação, acrescentando-se ainda os seguintes resultados: os pais do sexo masculino demonstraram maiores níveis de apoio e influência técnica; os pais das modalidades individuais assumiram maior apoio e orientação motivacional para a recreação e menos reacções negativas e os pais com menor formação escolar evidenciaram menor apoio e influência técnica e maior orientação para os resultados e reacções negativas
First description of seagrass distribution and abundance in Sao Tome and Principe
Seagrass meadows in Sao Tome and Principe, eastern Atlantic Ocean, are described here for the first time. Specifically, we quantified the biomass and density of seagrasses, characterized the plant morphology and measure their nutrient content as a proxy of the nutrient environmental conditions where the meadows develop. The seagrass Halodule wrightii was found in two locations of the northeastern coast of the island of Sao Tome: 1) developing throughout an estimated area of 1500 ha surrounding Cabras islet, at a depth range of 4-10 m, on sandy bottom; and 2) at Santana bay with an area of 1500 m(2) at 5-10 m depth, on sandy bottom. A highly morphologically different population of Halodule wrightii was found on the northeastern coast of the island of Principe, off Abade beach, covering an area of 135 m2 at 4 m depth. Further research is needed to assess if this is a different species. Shoot biomass and density was 10 and 4-fold higher in Sao Tome than in Principe, respectively. CN ratios of above and belowground tissues of plants collected in Sao Tome were also significantly higher than in Principe. The carbon content of Halodule leaves from Sao Tome and Principe (41%) was much higher than that reported for other Halodule species, suggesting that meadows may have an important ecological role for carbon fixation. The presence of H. wrightii in Sao Tome and Principe raises ecological and evolutionary questions that warrant further research.PADI Foundation [21670
Scalable semantic aware context storage
In recent years the Internet has grown by incorporating billions of small devices, collecting real-world information and distributing it though various systems.
As the number of such devices grows, it becomes increasingly difficult to manage all these new information sources.
Several context representation schemes have tried to standardize this information, however none of them have been widely adopted.
Instead of proposing yet another context representation scheme, we discuss an efficient way to deal with this diversity of representation schemes.
We define the basic requirements for context storage systems, analyse context organizations models and propose a new context storage solution.
Our solution implements an organizational model that improves scalability, semantic extraction and minimizes semantic ambiguity
Pervasive CSCW for smart spaces communities
Future pervasive environments will take into consideration not only individual users' interest, but also social relationships. In today's scenarios, the trend is to make use of collective intelligence, where the interpretation of context information can be harnessed as input for pervasive systems. Therefore, social CSCW applications represent new challenges and possibilities in terms of use of group context information for adaptability and personalization in pervasive computing. The objective of this paper is to present two enterprise scenarios that support collaboration and adaption capabilities through pervasive communities combined with social computing. Collaborative applications integrated with pervasive communities can increase the activity's quality of the end user in a wide variety of tasks
A transsignaling strategy for QoS support in heterogeneous networks
The increasing usage of multiple signalling mechanisms, with associated QoS extensions, creates several problems to commercial data networks. New and scalable approaches are required for the network operator to support this diversity. This paper discusses a highly flexible, scalable architecture for processing QoS Admission Control in public networks. The architecture relies on the cooperation of two different entities, an agent and a manager, with fully distributed implementation, and able to perform the required signalling, authorization, and admission control decisions. If required, the agent is capable of interfacing with different signalling mechanisms. Early implementation conclusions are also presented. This architecture is capable of operating with multiple QoS frameworks, with minimal added overhead
Evolution of Serial Patterns in the Vertebrate Pharyngeal Apparatus and Paired Appendages via Assimilation of Dissimilar Units
Towards behaviour inference in smart environments
Smart environments are physical places that are
richly and invisibly populated with sensors, actuators and computational elements. The objective of such environments is to
adapt themselves to its users in order to increase their comfort
and usefulness. This paper proposes a platform, named APOLLO,
capable of inferring behaviour rules from a smart environment
and apply them to provide an intelligent space. The APOLLO
platform is built upon a Service Oriented Architecture (SOA),
in which collected context information is used to infer behaviour
rules though statistical and machine learning techniques. The
proposed platform is to be deployed in a home automation
scenario
Exergy cost of mineral resources
Mineral deposits are considered as natural capital whose value can
be assessed in exergy terms. Historical industry experience provides evidence
that exploitation of mineral deposits and the beneficiation of ores are
essentially energy intensive. The persisting decline of the grade of the
developed deposits demands increasing exergy replacement and processing
costs. The results demonstrate how far processed ores and concentrates are
from ideal behaviour, and technologies from reversibility conditions.
The exploitation of mineral resources of declining quality for mineral
commodities imply a long time trend of increasing mass and exergy inputs
spent per unit product output, in line with a law of ‘diminishing returns’ on
invested exergy
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