The competitive real exchange-rate regime, inflation and monetary policy

Includes bibliography

The footwear industry in Vale do Sinos (Brazil): competitive adjustment in a labour-intensive sector

Includes bibliography

Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals

Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ″ and δ phases. This work presents a new application and evaluation of artificial intelligent techniques to classify (the background echo and backscattered) ultrasound signals in order to characterize the microstructure of a Ni-based alloy thermally aged at 650 and 950 °C for 10, 100 and 200 h. The background echo and backscattered ultrasound signals were acquired using transducers with frequencies of 4 and 5 MHz. Thus with the use of features extraction techniques, i.e.; detrended fluctuation analysis and the Hurst method, the accuracy and speed in the classification of the secondary phases from ultrasound signals could be studied. The classifiers under study were the recent optimum-path forest (OPF) and the more traditional support vector machines and Bayesian. The experimental results revealed that the OPF classifier was the fastest and most reliable. In addition, the OPF classifier revealed to be a valid and adequate tool for microstructure characterization through ultrasound signals classification due to its speed, sensitivity, accuracy and reliability. © 2013 Elsevier B.V. All rights reserved.

Impact of the oil crisis on the competitive position of jute and hard fibres

Includes bibliography

Reconhecimento de padrões lexicais por meio de redes neurais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fatores facilitadores e inibidores no uso das comunidades de prática: um estudo de caso em uma empresa alemã

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

CAN: Análisis de la Competitividad de los Países: programa computacional para evaluar y describir el medio competitivo internacional, versión 2.0, manual de uso = Competitive Analysis of Nations: software to evaluate and describe the international competitive environment, version 2.0, user's manual

Incluye Bibliografía

Corporate social responsibility: a competitive advantage for business

This edition of the FAL Bulletin is about Corporate Social Responsibility (CSR), as a new approach to business that offers competitive advantage for companies in the transport and logistics sector.

Shipping costs: a rising challenge to the region's competitive development

This issue of the FAL Bulletin examines the impact of shipping costs on the exports of five Latin American and Caribbean countries by analysing the difference between the unit value of goods at the port of origin and at the port of destination, in three of the region's main external markets.

Latin America’s competitive position in knowledge-intensive services trade

This study presents a dynamic analysis of Latin America's competitiveness in trade in knowledge-intensive services. The methodology used to undertake this analysis is based on the Tradecan approach developed by the Economic Commission for Latin America and the Caribbean (ECLAC), which provides a means of assessing different countries' competitiveness by looking at their exports to the fastest-growing markets. (In the past, it has usually been applied primarily to exports of goods.) The results suggest that, although some Latin American countries have made inroads in knowledge-intensive service segments and have comparative advantages in them, the percentage of "rising stars" (dynamic sectors in which a country or region is gaining in market share) is still low, while there is a high percentage of "missed opportunities" (dynamic sectors in which a country or region is losing market share). This points up the existence of areas in which the region's competitive position is weak and in which policies are needed to leverage its competitive advantages and remove the obstacles that are holding it back from establishing a more advantageous position in knowledge-intensive service markets.

Are we building competitive and liveable cities?: Guidelines for developing eco-efficient and socially inclusive infrastructure

This guideline jointly published by The UN Economic and Social Commission for Asia and the Pacific (ESCAP), the UN Economic Commission for Latin America and the Caribbean (ECLAC), and the UN Human Settlements Programme (UN-HABITAT), in partnership with the Urban Design Lab of the Earth Institute, Columbia University, provides practical tools for city planners and decision makers to reform urban planning and infrastructure design according to the principles of eco-efficiency and social inclusiveness. It includes case studies from the Republic of Korea, the Philippines, Japan and Sri Lanka.

Evaluation report of the training workshop on the use of the module to analyse growth of international commerce (Magic Plus) and the competitive analysis of nations (TRADECAN 2009) software

The aim of the workshop was to provide a functional overview of the software package, to enable participants to use the software in order to inform more evidence-based trade strategies, and build capacity for researchers and trade negotiators to provide more rigorous, analytical policy research to inform future trade negotiations. Participants came from the ministries of trade of the following CDCC member countries: Dominica, Grenada, Jamaica, Saint Lucia, Saint Kitts and Nevis, Saint Vincent and the Grenadines, and Trinidad and Tobago. Representatives of the following regional institutions were represented: the Caribbean Community/Caribbean Regional Negotiating Mechanism (CARICOM/CRNM); the Organisation of Eastern Caribbean States (OECS); the University of Guyana, University of Suriname and the University of the West Indies (UWI). It was hoped the workshop would be a stepping stone towards more advanced trade analysis training. The list of participants appears as Annex I.

Aplicação de sensores virtuais na inferência da temperatura de banho no processo de fabricação de alumínio primário

As indústrias buscam a todo o momento reduzir seus gastos operacionais para aumentar seus lucros e sua competitividade. Uma boa gestão é o fator mais importante, porém uma boa gestão é feita com auxílio de ferramentas que permitam o acesso às informações relevantes para o processo, que tenham bastante influência na tomada de decisões estratégicas, com o menor custo possível. O uso de sensores virtuais tem sido aplicado cada vez mais nas indústrias. Por ser flexível, ele pode ser adaptado a qualquer tipo de medição, promovendo uma redução de custos operacionais sem comprometer, e em alguns casos até melhorar, a qualidade da informação gerada. Como estão totalmente baseados em software, não estão sujeitos a danos físicos como os sensores reais, além de permitirem uma melhor adaptação a ambientes hostis e de difícil acesso. A razão do sucesso destes tipos de sensores é a utilização de técnicas de inteligência computacional, as quais têm sido usadas na modelagem de vários processos não lineares altamente complexos. Atualmente, muitas indústrias já utilizam com sucesso os sensores virtuais, e este trabalho explora a sua utilização, em conjunto com as Redes Neurais Artificiais, em um processo químico em uma importante indústria de alumínio brasileira cujo controle é muito difícil pois é muito difícil extrair medidas da planta dada sua natureza corrosiva e cujas medições exigem certo custo operacional além de estarem sujeitas a ruídos. A aplicação dos sensores virtuais poderá reduzir os intervalos de medições bem como os custos operacionais. Ao longo deste trabalho será apresentada a metodologia de como projetar o sensor virtual utilizando o processo químico como estudo de caso, seguindo a literatura recomendada.

Use of organic acids and competitive exclusion product as an alternative to antibiotic as a growth promoter in the raising of commercial turkeys

Processo FAPESP: 10/20655-3

Combined active and semi-supervised learning using particle walking temporal dynamicscombined active and semi-supervised learning using particle walking temporal dynamics

Both Semi-Supervised Leaning and Active Learning are techniques used when unlabeled data is abundant, but the process of labeling them is expensive and/or time consuming. In this paper, those two machine learning techniques are combined into a single nature-inspired method. It features particles walking on a network built from the data set, using a unique random-greedy rule to select neighbors to visit. The particles, which have both competitive and cooperative behavior, are created on the network as the result of label queries. They may be created as the algorithm executes and only nodes affected by the new particles have to be updated. Therefore, it saves execution time compared to traditional active learning frameworks, in which the learning algorithm has to be executed several times. The data items to be queried are select based on information extracted from the nodes and particles temporal dynamics. Two different rules for queries are explored in this paper, one of them is based on querying by uncertainty approaches and the other is based on data and labeled nodes distribution. Each of them may perform better than the other according to some data sets peculiarities. Experimental results on some real-world data sets are provided, and the proposed method outperforms the semi-supervised learning method, from which it is derived, in all of them.