23 research outputs found

    Alternative Composite Lisbon Development Strategy Indices: A Comparison of EU, USA, Japan and Korea

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    This study addresses the measurement of two composite Lisbon strategy indices that quantifies the level and patterns of development for ranking countries. The first index is nonparametric labelled as Lisbon strategy index (LSI). It is composed of six components: general economics, employment, innovation research, economic reform, social cohesion and environment, each generated from a number of Lisbon indicators. LSI by reducing the complexity of the set of indicators, it makes the ranking procedures quite simple. The second and parametric index is based on principal component analysis. Despite the difference in the ranking by the two indices, it is shown that the United States outperformed most EU-member states. Our investigations also show evidence of significant dynamic changes taking place, as the countries of the Union struggle to achieve the Lisbon goals. The necessity of a real reform agenda in several old and new members and candidate countries emerges from our analysis. We briefly refer to two important European phenomena emerging from our data analysis and discuss the possible lessons learned from the Korean development strategyEconomic development, composite index, Lisbon Agenda

    Alternative Composite Lisbon Development Strategy Indices: A Comparison of EU, USA, Japan and Korea

    Get PDF
    This study addresses the measurement of two composite Lisbon strategy indices that quantifies the level and patterns of development for ranking countries. The first index is nonparametric labelled as Lisbon strategy index (LSI). It is composed of six components: general economics, employment, innovation research, economic reform, social cohesion and environment, each generated from a number of Lisbon indicators. LSI by reducing the complexity of the set of indicators, it makes the ranking procedures quite simple. The second and parametric index is based on principal component analysis. Despite the difference in the ranking by the two indices, it is shown that the United States outperformed most EU-member states. Our investigations also show evidence of significant dynamic changes taking place, as the countries of the Union struggle to achieve the Lisbon goals. The necessity of a real reform agenda in several old and new members and candidate countries emerges from our analysis. We briefly refer to two important European phenomena emerging from our data analysis and discuss the possible lessons learned from the Korean development strateg

    Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service

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    This letter proposes traffic management for multiple automated mobile robots (AMRs) based on a layered cost map. Multiple AMRs communicate via a data distribution service (DDS), which is shared by topics in the same DDS domain. The cost of each layer is manipulated by topics. The traffic management server in the domain sends or receives topics to each of AMRs. Using the layered cost map, the new concept of prohibition filter, lane filter, fleet layer, and region filter are proposed and implemented. The prohibition filter can help a user set an area that would prohibit an AMR from trespassing. The lane filter can help set one-way directions based on an angle image. The fleet layer can help AMRs share their locations via the traffic management server. The region filter requests for or receives an exclusive area, which can be occupied by only one AMR, from the traffic management server. All the layers are experimentally validated with real-world AMRs. Each area can be configured with user-defined images or text-based parameter files.Comment: 8 pages, 13 figure

    Teatro e ensino da matemática: atividade desenvolvida num curso de formação docente

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    Anais do II Seminário Seminário Estadual PIBID do Paraná: tecendo saberes / organizado por Dulcyene Maria Ribeiro e Catarina Costa Fernandes — Foz do Iguaçu: Unioeste; Unila, 2014Este trabalho relata uma aula desenvolvida pelas alunas do Curso de Formação de Docentes do Instituto Estadual de Educação de Londrina com a colaboração dos Bolsistas do Programa Institucional de Bolsas de Iniciação à Docência – PIBID – Subprojeto de Matemática, para alunos de primeiro ano do Ensino Fundamental utilizando o teatro como forma de apresentar conteúdos matemáticos como números, sequência de números, operações básicas como adição, subtração e conteúdos de língua portuguesa como leitura e escrita de número

    Cooperatively learning mobile agents for gradient climbing

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    Abstract — This paper presents a novel class of self-organizing autonomous sensing agents that form a swarm and learn the static field of interest through noisy measurements from neighbors for gradient climbing. In particular, each sensing agent maintains its own smooth map which estimates the field. It updates its map using measurements from itself and its neighbors and simultaneously moves toward a maximum of the field using the gradient of its map. The proposed cooperatively learning control consists of motion coordination based on the recursive spatial estimation of an unknown field of interest with measurement noise. The convergence properties of the proposed coordination algorithm are analyzed using the ODE approach and verified by a simulation study. I

    Efficient Execution of Stream Graphs on Coarse-Grained Reconfigurable Architectures

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    Coarse-grained reconfigurable architectures (CGRAs) can provide extremely energy-efficient acceleration for applications that are rich in arithmetic operations such as digital signal processing and multimedia applications. Since those applications are often naturally represented by stream graphs, it is very compelling to develop optimization strategies for stream graphs on CGRAs. One unique property of stream graphs is that they contain many kernels or loops, which creates both advantages and challenges when it comes to mapping them to CGRAs. This paper addresses two main problems with it, namely, many-buffer problem and control overhead problem, and presents our results of optimizing the execution of stream graphs for CGRAs including our low-cost architecture extensions. Our evaluation results demonstrate that our software and hardware optimizations can help generate highly efficient mapping of stream applications to CGRAs, with 3.4x speedup on average at the application level over CPU-only execution, which is significant
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