1,225 research outputs found
INTRODUCING THE USER TO THE SERVICE CREATION WORLD: CONCEPTS FOR USER CENTRIC SERVICE CREATION, PERSONALIZATION AND NOTIFICATION
No full textA User-Centric Service Creation Approach for Next Generation Networks
No full textThe architecture and technologies for the Next Generation Networks are well known. The service provision approach is not so clear though. While the Telecommunications killer application still remains to be found, new competitors in the new all-IP world threaten the traditional business models of telcos by providing their services directly to the operators' customers. An innovative paradigm has recently come about in the Internet which allows users to create and share their own services from the composition of other services. User-centric service creation environments improve the service offering with profitable, value-added services faster and cheaper than ever before. This paper presents the initial results of a research project that applies the user-centric approach to the creative combination of Web and network services over Next Generation Networks
Agonistic Interactions in Raptors of the Pampas Region
No full textIn this study, we evaluated the interspecific agonistic responses of raptors and nonraptors, elicited by the presence of five raptor species (Circus cinereus, C. buffoni, Rupornis magnirostris, Elanus leucurus, and Geranoaetus melanoleucus) in the Pampas region of Argentina. We registered 62 agonistic interaction events, most of them involving two raptor species (58%). During these events we registered 122 attacks, 10 persecutions, and three cases of kleptoparasitism. Milvago chimango was the most important aggressor species among raptors, and Vanellus chilensis among non-raptor birds. Attacks in groups were more frequently performed by non-raptors (61.5% of the events involved two or more aggressor individuals) than by raptors (68.5% of the events involved only one aggressor). This study represents a primary approach to one scarcely explored aspect of raptor behavior in southern South AmericaFil: Baladron Felix, Alejandro Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Pretelli, Matías Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentin
A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
No full textRecently there has been a significant proliferation in the use of forecasting techniques, mainly due to the increased availability and power of computation systems and, in particular, to the usage of personal computers. This is also true for power network systems, where energy demand forecasting has been an important field in order to allow generation planning and adaptation. Apart from the quantitative progression, there has also been a change in the type of models proposed and used. In the '70s, the usage of non-linear techniques was generally not popular among scientists and engineers. However, in the last two decades they have become very important techniques in solving complex problems which would be very difficult to tackle otherwise. With the recent emergence of smart grids, new environments have appeared capable of integrating demand, generation, and storage. These employ intelligent and adaptive elements that require more advanced techniques for accurate and precise demand and generation forecasting in order to work optimally. This review discusses the most relevant studies on electric demand prediction over the last 40 years, and presents the different models used as well as the future trends. Additionally, it analyzes the latest studies on demand forecasting in the future environments that emerge from the usage of smart grids.Hernandez, L.; Baladron, C.; Aguiar, JM.; Carro, B.; Sanchez-Esguevillas, AJ.; Lloret Mauri, J.; Massana, J. (2014). A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings. Communications Surveys and Tutorials, IEEE Communications Society. 16(3):1460-1495. doi:10.1109/SURV.2014.032014.00094S1460149516
Body Size and Sexual Dimorphism in the Southernmost Subspecies of the Burrowing Owl (Athene cunicularia cunicularia)
No full textWe studied body size and sexual dimorphism in the southernmost subspecies of the Burrowing Owl (Athene cunicularia cunicularia) at the Pampas of Argentina, and we compared our data with those from other subspecies in the Americas. A total of 58 individuals were captured and their coloration pattern (plumage and bare parts), body linear measurements (wing chord, standard tail length, tarsus length and width, forearm length, exposed culmen length, and hallux claw length), and body mass were recorded. In addition, we banded each individual and took a blood sample from 44 individuals for molecular sex determination. In general, the body size measurements reported for A. c. cunicularia in this study agreed with previous reports based on museum specimens for the same subspecies, and were near the upper range for the species. In addition, tarsi of A. c. cunicularia were large in comparison to those of other subspecies. Sexes differed little in size, with tarsus length, tail length, and wing chord being slightly greater in males, and culmen length and mass slightly greater in females. However, mean values of these measurements did not differ statistically between sexes. The southernmost subspecies of Burrowing Owls, A. c. cunicularia, has a larger body size than the North American and Caribbean subspecies, which suggests geographical variation in body size of this species throughout its distributional range.Fil: Baladron Felix, Alejandro Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Cavalli, Matilde. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Isacch, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Bó, Maria Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Madrid, Enrique Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentin
Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy
No full textThe adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially true also in microgrids where many intelligent elements have to adapt their behaviour depending on the future generation and consumption conditions. However, traditional forecasting has been performed only for extremely large areas, such as nations and regions. This work aims at presenting a solution for short-term load forecasting (STLF) in microgrids, based on a three-stage architecture which starts with pattern recognition by a self-organizing map (SOM), a clustering of the previous partition via k-means algorithm, and finally demand forecasting for each cluster with a multilayer perceptron. Model validation was performed with data from a microgrid-sized environment provided by the Spanish company Iberdrola. (C) 2014 Elsevier Ltd. All rights reserved.Hernandez, L.; Baladron, C.; Aguiar, JM.; Carro, B.; Sanchez-Esguevillas, A.; Lloret, J. (2014). Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy. Energy. 75:252-264. doi:10.1016/j.energy.2014.07.065S2522647
Leveraging Context-Awareness for Personalization in Enabling Context-Aware Web Services
No full textThe purpose of this chapter is to describe the approach followed by OPUCE for enabling user generated services in general and more precisely how context awareness is used to empower personalization and fine-grained adaptation of services for each single user. In particular, after a short presentation of the OPUCE project, section 2 addresses the modeling of the user context
to cope with a highly volatile, yet heterogeneous and infinitely expansible set of information. Our reference architecture for embedding context awareness features in the core of our UGS platform is then described in section 3. Section 4 focuses on the solutions adopted to achieve the right level/trade off of explicit and implicit adaptation of services based on context information, both
at service creation and service execution time, and also discusses the scalability, performance and privacy-related issues raised throughout the platform specification and development
Quantum formalism as an optimisation procedure of information flows for physical and biological systems
No full textThe similarities between biological and physical systems as respectively defined in quantum information biology (QIB) and in a Darwinian approach to quantum mechanics (DAQM) have been analysed. In both theories the processing of information is a central feature characterising the systems. The analysis highlights a mutual support on the thesis contended by each theory. On the one hand, DAQM provides a physical basis that might explain the key role played by quantum information at the macroscopic level for bio-systems in QIB. On the other hand, QIB offers the possibility, acting as a macroscopic testing ground, to analyse the emergence of quantumness from classicality in the terms held by DAQM. As an added result of the comparison, a tentative definition of quantum information in terms of classical information flows has been proposed. The quantum formalism would appear from this comparative analysis between QIB and DAQM as an optimal information scheme that would maximise the stability of biological and physical systems at any scale. (C) 2016 Elsevier Ireland Ltd. All rights reserved.</p
IMS: The New Generation of Internet-Protocol-Based Multimedia Services
No full textLegacy networks, both fixed and mobile, which were originally designed for voice communications, are progressively migrating to new infrastructures that promise to revolutionize the services offered. In this paper, we will cover this new generation of personal communication services, with an emphasis on the family of Internet protocol (IP)-based multimedia subsystem (IMS)-aided infrastructure that relies on the session initiation protocol (SIP). As a benefit, the end users will enjoy a new generation of personal communications services that are accessible anywhere and anytime. These services are timedia subsystem (IMS)-aided infrastructure that relies on the directly related to the end users rather than to their diverse devices. It is anticipated that the new deployments of next-of the IMS technology. generation networks (all-IP based) will accelerate the adoptio
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