Cinética de secado de granos de café pergamino (coffea arabica l.) orgánico usando microondas con lecho fluidizado: modelado semiteórico

The aim of this study was to model the drying kinetics of microwave and fluidised bed of parchment coffee bean (Coffea arabica L.) using a semi-theoretical approach. A completely randomized design with six treatments: three with microwave drying (MD) and the rest combined with fluidized bed drying (MFBD) was carried out. The drying curves were established until reaching a final moisture content between 10 to 12% w.b. The results indicated that the drying time decreased as the microwave power level increased. When MFBD was used, drying times increased approximately 4-fold compared to MD treatments. The values of effective diffusivity for coffee beans treated with MD and MFBD ranged from 0.913 to1.72×10-9 m2.s-1 and 0.23 to 0.42×10-9 m2.s-1, respectively. Although all the models presented high goodness of fit, the two-term model presented the highest R2 (0.9855 – 0.9978) and lowest RMSE (0.0128-0.0285). In general, all models adequately fitted the experimental data so they can be used to predict the drying kinetics, therefore they could be very useful in equipment design and optimization of the coffee drying process.El objetivo de esta investigación fue modelar de forma semiteórica la cinética del secado con microondas y lecho fluidizado de granos de café (Coffea arabica L.).Se implementó un diseño completamente al azar con seis tratamientos: tres con microondas (MD) y los restantes combinados con lecho fluidizado (MFBD). Las curvas de secado se establecieron hasta alcanzar un contenido de humedad final entre 10 al 12% b.h. Los resultados indicaron que el tiempo de secado disminuyó con el aumento del nivel de potencia. Cuando el MFBD se utilizó, los tiempos de secado aumentaron aproximadamente en 4 veces con respecto a los tratamientos de MD. Los valores de difusividad efectiva para el secado de los granos con MD y MFBD oscilaron entre 0,913 -1,717×109 m2.s-1 y 0,228 - 0,417×10-9 m2.s-1, respectivamente. Aunque todo los modelos presentaron buenos ajustes, el modelo de dos términos presentó los mayores R2 (0,9855 – 0,9978) y menores RMSE (0,0128-0,0285). En general, todos los modelos ajustaron de manera adecuada los datos experimentales por lo que pueden ser usados para predecir la cinética del secado, por ende podrían ser de gran utilidad en el diseño de equipos y optimización del proceso de secado de café

Next generation portal for federated testbeds MySlice v2: from prototype to production

A number of projects in computer science around the world have contributed to build federated experimental facilities providing access to a large set of distributed compute, storage and network resources for the research community. Several tools have been developed to provide users an easy access to the federated testbeds. This paper presents the architecture of the new version of the MySlice web portal, that has evolved from a prototype to a production ready software

Language resources and linked data: a practical perspective

Recently, experts and practitioners in language resources have started recognizing the benefits of the linked data (LD) paradigm for the representation and exploitation of linguistic data on the Web. The adoption of the LD principles is leading to an emerging ecosystem of multilingual open resources that conform to the Linguistic Linked Open Data Cloud, in which datasets of linguistic data are interconnected and represented following common vocabularies, which facilitates linguistic information discovery, integration and access. In order to contribute to this initiative, this paper summarizes several key aspects of the representation of linguistic information as linked data from a practical perspective. The main goal of this document is to provide the basic ideas and tools for migrating language resources (lexicons, corpora, etc.) as LD on the Web and to develop some useful NLP tasks with them (e.g., word sense disambiguation). Such material was the basis of a tutorial imparted at the EKAW’14 conference, which is also reported in the paper

Next generation portal for federated testbeds MySlice v2: from prototype to production

International audienceA number of projects in computer science around the world have contributed to build federated experimental facilities providing access to a large set of distributed compute, storage and network resources for the research community. Several tools have been developed to provide users an easy access to the federated testbeds. This paper presents the architecture of the new version of the MySlice web portal, that has evolved from a prototype to a production ready software

OneLab: On-demand deployment of IoT over IPv6: Infrastructure as a service for IEEE INFOCOM community

International audienceThis demonstration will explain how an experimenter can easily deploy an end-to-end IoT and Cloud infrastructure using the OneLab federation of testbeds. It will highlight the importance of using IPv6 in this context

OneLab Tutorial: A Single Portal to Heterogeneous Testbeds

International audienceLarge-scale experimentation in varying types of environments is difficult to achieve, and until recently, experimenters have had to either construct their own platforms or rely on simulation, emulation, or analysis to gain results. However, these methods largely do not provide adequate or verified results. There lacked a viable model for the federation of large-scale testbeds that reconciled the challenges posed by how to provide a single entry point to access heterogeneous and distributed resources, and how to federate these resources that are under the control of multiple authorities. Efforts such as the FIRE initiative in Europe and GENI in the United States have worked to develop such a model, and the OneLab experimental facility, which came online in 2014, realizes this model, making a set of world-class testbeds freely available to researchers through a unique credential for each user and a common set of tools. OneLab provides a large-scale facility for rapid and remote testing that produces exhaustive results, at no charge to the experimenter. We allow users to deploy innovative experiments across our federated platforms that include the embedded object testbeds of FIT IoT-Lab, the cognitive radio testbed of FIT CorteXlab, the wireless testbeds of NITOS-Lab, and the internet overlay testbeds of PlanetLab Europe (PLE), which together provide thousands of nodes for experimentation. The OneLab portal allows single-entry point access to these platforms, and provides users with unique credentials. This is made possible through the adoption of Slice-based Federation Architecture (SFA), an API for authentication and authorization that was conceptualized by the GENI initiative in the US, where each authority authenticates users and authorizes access to the resources; and MySlice, the portal technology that we have developed to federate heterogeneous resources

Torpedo: Improving the State-of-the-Art RDF Dataset Slicing

Over the last years, the amount of data published as Linked Data on the Web has grown enormously. In spite of the high availability of Linked Data, organizations still encounter an accessibility challenge while consuming it. This is mostly due to the large size of some of the datasets published as Linked Data. The core observation behind this work is that a subset of these datasets suffices to address the needs of most organizations. In this paper, we introduce Torpedo, an approach for efficiently selecting and extracting relevant subsets from RDF datasets. In particular, Torpedo adds optimization techniques to reduce seek operations costs as well as the support of multi-join graph patterns and SPARQL FILTERs that enable to perform a more granular data selection. We compare the performance of our approach with existing solutions on nine different queries against four datasets. Our results show that our approach is highly scalable and is up to 26% faster than the current state-of-the-art RDF dataset slicing approach

GERBIL: General Entity Annotator Benchmarking Framework

We present GERBIL, an evaluation framework for semantic entity annotation. The rationale behind our framework is to provide developers, end users and researchers with easy-to-use interfaces that allow for the agile, fine-grained and uniform evaluation of annotation tools on multiple datasets. By these means, we aim to ensure that both tool developers and end users can derive meaningful insights pertaining to the extension, integration and use of annotation applications. In particular, GERBIL provides comparable results to tool developers so as to allow them to easily discover the strengths and weaknesses of their implementations with respect to the state of the art. With the permanent experiment URIs provided by our framework, we ensure the reproducibility and archiving of evaluation results. Moreover, the framework generates data in machine-processable format, allowing for the efficient querying and post-processing of evaluation results. Finally, the tool diagnostics provided by GERBIL allows deriving insights pertaining to the areas in which tools should be further refined, thus allowing developers to create an informed agenda for extensions and end users to detect the right tools for their purposes. GERBIL aims to become a focal point for the state of the art, driving the research agenda of the community by presenting comparable objective evaluation results

Growth And The Growth Hormone-Insulin Like Growth Factor 1 Axis In Children With Chronic Inflammation:Current Evidence, Gaps In Knowledge And Future Directions

Growth failure is frequently encountered in children with chronic inflammatory conditions like juvenile idiopathic arthritis, inflammatory bowel disease and cystic fibrosis. Delayed puberty and attenuated pubertal growth spurt is often seen during adolescence. The underlying inflammatory state mediated by pro-inflammatory cytokines, prolonged use of glucocorticoid and suboptimal nutrition contribute to growth failure and pubertal abnormalities. These factors can impair growth by their effects on the growth hormone-insulin like growth factor axis and also directly at the level of the growth plate via alterations in chondrogenesis and local growth factor signaling. Recent studies on the impact of cytokines and glucocorticoid on the growth plate studies further advanced our understanding of growth failure in chronic disease and provided a biological rationale of growth promotion. Targeting cytokines using biologic therapy may lead to improvement of growth in some of these children but approximately one third continue to grow slowly. There is increasing evidence that the use of relatively high dose recombinant human growth hormone may lead to partial catch up growth in chronic inflammatory conditions, although long term follow-up data is currently limited. In this review, we comprehensively review the growth abnormalities in children with juvenile idiopathic arthritis, inflammatory bowel disease and cystic fibrosis, systemic abnormalities of the growth hormone-insulin like growth factor axis and growth plate perturbations. We also systematically reviewed all the current published studies of recombinant human growth hormone in these conditions and discuss the role of recombinant human insulin like growth factor-1

SIMULAÇÃO CLIMÁTICA DE DADOS DE VENTO EM REDES P2P UTILIZANDO GPU

Este trabalho apresenta uma avaliação das tecnologias de GPGPU (General-Purpose Computing on Graphics Processing Unit) e de redes P2P (peer-to-peer) para melhorar o tempo de resposta de simulações de dados climáticos. Para isso, uma aplicação utilizando a arquitetura CUDA (Compute Unified Device Architecture) e o modelo de simulação de dados de vento do software Venthor foram inicialmente adotados e após integrados ao framework P2PComp. Os resultados indicam um fator de aceleração igual a 70 para computadores isolados. Além disso, com a possibilidade do uso de uma rede P2P para compartilhamento de processamento, fatores de aceleração maiores podem ser obtidos. Modelos de simulação computacional geralmente demandam alto poder de processamento e este trabalho mostrou que a utilização do paralelismo em redes P2P e GPUs constitui uma alternativa que permite melhor desempenho quando comparado à computação sequencial.This paper presents an approach of technologies GPGPU (General-Purpose Computing on Graphics Processing Unit) and P2P (peer-to-peer) networks in order to improve the response time of climate data simulations. Thus, an application using CUDA (Compute Unified Device Architecture) architecture and the simulation model of Venthor simulator were initially adopted and integrated into the P2PComp framework. The results indicate an acceleration factor equal to 70 for single computers. Furthermore, the possibility of using a P2P sharing network for processing, higher acceleration factors can be obtained. Computer simulation models usually demand high processing power and this work showed that the use of parallelism in GPUs and P2P networks is an alternative that allows better performance when compared to sequential computing