Ontologia de notícias: um modelo para classificação do conteúdo dos jornais on-line brasileiros, segundo a lógica da Web Semântica

Este trabalho tem por objetivo propor um modelo de ontologia simples e generalista, capaz de descrever os conceitos mais básicos que permeiam o domínio de conhecimento dos jornais on-line brasileiros não especializados, fundamentado tanto na prática quanto conceitualmente, em conformidade com os princípios da Web Semântica. A partir de uma nova forma de classificação e organização do conteúdo, a ontologia proposta deve ter condições de atender as necessidades comuns de ambas as partes, jornal e leitor, que são, resumidamente, a busca e a recuperação das informações.

Errugbiko line-out jaurtiketaren abiaduren analisia eta jaurtitzaileen potentzia eta zehaztasunaren arteko erlazioa.

Hurrengo ikerketan errugbiko line out baten jaurtiketaren abiaduraren analisia eta jaukitzaileen baloia abiadura altuan jaurtitzeko ahalmena, zehaztasunarekin ikertuko da. Hamazortzi eta hogeita bi urte tarteko errugbi jokalariak egin zituzten frogak, partaideak froga bakarra egin zuten denboraldiaren hasieran, aurre-denboraldiaren amaieran. Jokalarien arteko konparaketa egin zen. Ikertuko diren aldagarriak, eta jaurtitzaileen ahalmena neurtzen dutenak hurrengoak dira: abiadura eta zehaztasuna. bi abiadura ezberdin kalkulatu egin dira, bata helburu zehatz batekin eta bestea helburu zehatzik gabe, horrela potentzia guztia ikusi ahal izateko. Bi abiadurak konparatuz beste aldagarri bat atera da, %galera izenekoa, aldagarri onek bi abiaduraren arteko ezberdintasuna adierazten du.

Identidad digital y reputación on-line

La identidad digital y la reputación online como elementos claves a la hora de relacionarse con el consumidor y generar valor

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.

Linefish resources annual report for the year 2000. Part 3: towards a management plan for the Mozambican line fishery

The dependence of Mozambique on its marine resources is highly significant. There is a need for a plan of action for sustainable use of these important resources, for the benefit of the nation. In this document, some aspects are included, that can be important to take into consideration for a sound action plan for the lin fishery of Mozambique.

A novel non-intrusive sampling technique for CO2 laser on-line beam monitoring utilising a silicon mirror

The measurement of high speed laser beam parameters during processing is a topic that has seen growing attention over the last few years as quality assurance places greater demand on the monitoring of the manufacturing process. The targets for any monitoring system is to be non-intrusive, low cost, simple to operate, high speed and capable of operation in process. A new ISO compliant system is presented based on the integration of an imaging plate and camera located behind a proprietary mirror sampling device. The general layout of the device is presented along with the thermal and optical performance of the sampling optic. Diagnostic performance of the system is compared with industry standard devices, demonstrating the high quality high speed data which has been generated using this system.

Analysis of permanent magnets as elasmobranch bycatch reduction devices in hook-and-line and longline trials

Previous studies indicate that elasmobranch fishes (sharks, skates and rays) detect the Earth’s geomagnetic field by indirect magnetoreception through electromagnetic induction, using their ampullae of Lorenzini. Applying this concept, we evaluated the capture of elasmobranchs in the presence of permanent magnets in hook-and-line and inshore longline fishing experiments. Hooks with neodymium-iron-boron magnets significantly reduced the capture of elasmobranchs overall in comparison with control and procedural control hooks in the hook-and-line experiment. Catches of Atlantic sharpnose shark (Rhizoprionodon terraenovae) and smooth dogfish (Mustelus canis) were signif icantly reduced with magnetic hook-and-line treatments, whereas catches of spiny dogfish (Squalus acanthias) and clearnose skate (Raja eglanteria) were not. Longline hooks with barium-ferrite magnets significantly reduced total elasmobranch capture when compared with control hooks. In the longline study, capture of blacktip sharks (Carcharhinus limbatus) and southern stingrays (Dasyatis americana) was reduced on magnetic hooks, whereas capture of sandbar shark (Carcharhinus plumbeus) was not affected. Teleosts, such as red drum (Sciaenops ocellatus), Atlantic croaker (Micropogonias undulatus), oyster toadfish (Opsanus tau), black sea bass (Centropristis striata), and the bluefish (Pomatomas saltatrix), showed no hook preference in either hook-and-line or longline studies. These results indicate that permanent magnets, although eliciting species-specific capture trends, warrant further investigation in commercial longline and recreational fisheries, where bycatch mortality is a leading contributor to declines in elasmobranch populations.

Estudo da produção de multijatos em colisões próton-próton com √s= 7 TeV no detector CMS/LHC

O Compact Muon Solenoid (CMS) é um dos principais detectores instalados no LHC que possibilita o estudo de diferentes aspectos da Física, indo do Modelo Padrão à matéria escura. Esse detector de propósito geral, foi construído para ser capaz de medir múons com uma grande precisão e todos os seus subdetectores foram construídos com uma alta granularidade, tornando possível identificar e caracterizar as propriedades cinemáticas das partículas finais da colisão. O algoritmo de reconstrução de eventos inclui a identificação de jatos, ou seja, é possível identificar a assinatura da produção de pártons na colisão e a medida de seções de choque da produção de muitos jatos é um dos métodos para se explorar as contribuições da Cromodinâmica Quântica (Quantum Chromodynamics - QCD) perturbativa, permitindo avaliar as previsões implementadas nas simulações de eventos. Tendo em vista a caracterização de processos relacionados com a QCD em colisões de próton-próton a uma energia do centro de massa de 7 TeV, é apresentada a medida da seção de choque da produção inclusiva de multijatos no CMS. Para realizar essa medida foram utilizados dados reais coletados em 2010, onde não se apresentava muitas colisões por cruzamento de pacote, com uma luminosidade integrada de L = 2,869 pb-1 e utilizando jatos que estão em quase todo o espaço de fase acessível em pseudorapidez |n|≤ 4,8 e momentum transverso pT ≥ 30 GeV/ c2. Desse resultado foram removidos os efeitos de detecção comparado com predições simuladas.

No evidence of bias from fish behavior in the selectivity of size and sex of the protogynous red porgy (Pagrus pagrus, Sparidae) by hook-and-line gear

Most fisheries select the size of fish to be caught (are size selective), and many factors, including gear, market demands, species distributions, fishery laws, and the behavior of both fishermen and fish, can contribute to that selectivity. Most fishing gear is size-selective and some, such as gill nets, are more so than others. The targeting behavior of fishermen is another key reason commercial and recreational fisheries tend to be size-selective. The more successful fishermen constantly seek areas and methods that yield larger or more profitable sizes of fish. Fishery regulations, especially size limits, produce size-selective harvests. Another factor with the potential to cause selectivity in a hook-and-line fishery is the different behavioral responses of fish to the bait or lure, whether the different responses arise among different fish sizes or between the sexes.

Analysis of multivariate stochastic signals sampled by on-line particle analyzers: Application to the quantitative assessment of occupational exposure to NOAA in multisource industrial scenarios (MSIS)

In multisource industrial scenarios (MSIS) coexist NOAA generating activities with other productive sources of airborne particles, such as parallel processes of manufacturing or electrical and diesel machinery. A distinctive characteristic of MSIS is the spatially complex distribution of aerosol sources, as well as their potential differences in dynamics, due to the feasibility of multi-task configuration at a given time. Thus, the background signal is expected to challenge the aerosol analyzers at a probably wide range of concentrations and size distributions, depending of the multisource configuration at a given time. Monitoring and prediction by using statistical analysis of time series captured by on-line particle analyzers in industrial scenarios, have been proven to be feasible in predicting PNC evolution provided a given quality of net signals (difference between signal at source and background). However the analysis and modelling of non-consistent time series, influenced by low levels of SNR (Signal-Noise Ratio) could build a misleading basis for decision making. In this context, this work explores the use of stochastic models based on ARIMA methodology to monitor and predict exposure values (PNC). The study was carried out in a MSIS where an case study focused on the manufacture of perforated tablets of nano-TiO2 by cold pressing was performed