Inference Time Optimization Using BranchyNet Partitioning

Deep Neural Network (DNN) applications with edge computing presents a trade-off between responsiveness and computational resources. On one hand, edge computing can provide high responsiveness deploying computational resources close to end devices, which may be prohibitive for the majority of cloud computing services. On the other hand, DNN inference requires computational power to be executed, which may not be available on edge devices, but a cloud server can provide it. To solve this problem (trade-off), we partition a DNN between edge device and cloud server, which means the first DNN layers are processed at the edge and the other layers at the cloud. This paper proposes an optimal partition of DNN, according to network bandwidth, computational resources of edge and cloud, and parameter inherent to data. Our proposal aims to minimize the inference time, to allow high responsiveness applications. To this end, we show the equivalency between DNN partitioning problem and shortest path problem to find an optimal solution, using Dijkstra's algorithm.Comment: 8 pages, 11 figures, IEEE Symposium on Computers and Communications 202

Cultivo do milho irrigado.

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Compliance with intangible assets disclosure requirements: study of Portuguese non-financial companies

The present study aims to identify the degree of compliance with the intangible assets disclosure requirements outlined in the Accounting and Financial Reporting Standard (Norma Contabilística de Relato Financeiro – NCRF) 6 - Intangible Assets. It also seeks to analyse the factors influencing compliance with intangible assets mandatory disclosure requirements. An analysis of the 500 largest companies ranked by Exame Magazine, 2010, which are subject to the general Portuguese Accounting Standards System (Sistema de Normalização Contabilística - SNC), was conducted to check whether their Financial Statements for the years 2010 (transition year) and 2011 were made available on their websites. The methodology chosen to answer the research questions and achieve the proposed objectives was the content analysis of the financial statements of a sample of 37 Portuguese unlisted companies. The data collected in 2010 and 2011 allowed the construction of an index of intangible assets and the identification of disclosure explanatory factors. We tested six hypotheses for a possible association between the disclosure index and six explanatory variables through analysis, descriptive statistics, normality, differences in means, correlation and regression. Our results show an average of 30% in the disclosure index for intangible assets. Contrary to what was expected, results confirm that the adoption of SNC did not cause a higher level of disclosure over time. Companies’ size is the most influencing factor, indicating that larger companies disclose information on intangible assets basically to reduce agency costs, political costs related to their public visibility, and in such a way manage the relationship with their relevant stakeholders.info:eu-repo/semantics/acceptedVersio

Analysis of the features of a UPQC to improve power quality in smart grids

An UPQC (Unified Power Quality Conditioner) is an equipment composed by two active conditioners operating in a combined way. One of the active conditioners is connected in series with the electrical power system, allowing the compensation of problems in the system voltages. The other active conditioner is connected in parallel with the electrical system, and allows the compensation of current harmonics, current unbalances and power factor. In three-phase four-wire systems the parallel connected active conditioner also compensates the zero sequence current components, eliminating the neutral wire current. The UPQC operates in an automatic way, adjusting itself dynamically to the variations of the load and of the electrical system, keeping high levels of power quality in the voltages delivered to the load. At the same time, it only consumes from the electrical system the active power necessary to the load operation, in a balanced way through the three phases, and with sinusoidal currents. The compensation capabilities of the UPQC can be very useful to ensure high levels of power quality in the future Smart Grids, which are not characterized as a single technology or device, but rather as a vision of a distributed electrical system, supported by reference technologies, as Power Electronics Devices, Renewable Energy Resources, Energy Storage Systems (ESS), Advanced Metering Infrastructures (AMI), and Information and Communication Technologies (ICT).This work is financed by FEDER Funds, through the Operational Program for Competitiveness Factors – COMPETE, and by National Funds through the Foundation for Science and Technology of Portugal, under projects: PTDC/EEAEEL/104569/2008 and FCOMP-01-0124-FEDER-022674.info:eu-repo/semantics/publishedVersio

Quantização de Laços do Modelo BF Acoplado a Matéria Topológica em 1+1 Dimensões.

O objetivo deste trabalho é realizar a quantização de Laços do modelo BF acoplado com matéria topológica em 1+1 dimensões. Para tal, introduzimos os conceitos principais e aplicamos a metodologia no modelo BF puro, começando pelo formalismo hamiltoniano do modelo, quantização canônica para sistemas vinculados proposta por Dirac e quantização de Laços. Depois aplicamos a mesma metodologia para o modelo acoplado, também explorando uma propriedade de supersimetria rígida contida nele, que nos serve de guia para uma escolha de coordenadas apropriada à quantização