1,720,962 research outputs found
L'Humanisme « restitué » par les sciences humaines
No full textMaggiani L. L'Humanisme « restitué » par les sciences humaines. In: Bulletin de l'Association Guillaume Budé,n°2, juin 1952. pp. 16-32
Activation Stretching for Tackling Noise in Photonic Aware Neural Networks
No full textThis paper introduces a stretching strategy for nonlinear activation functions aimed to enhance noise resilience in photonic-aware neural networks. Its effectiveness is numerically demonstrated in counteracting different noise levels in low-resolution operations. (c) 2023 The Author(s
Accelerating Pooling Layers in Photonic Convolutional Neural Networks
No full textWe propose a photonic neural network where multiply-accumulate and, for the first time, average pooling are realized exploiting a Mach-Zehnder interferometer mesh. Average pooling outperforms the max pooling counterpart, enabling an optical neural network layer
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Validation of Photonic Neural Networks in Health Scenarios
No full textPhotonic hardware represents a promising alternative to speed-up Neural Network (NN) computations, outperforming electronic counterparts in terms of speed, energy consumption and computing density. In this paper we exploit a Photonic-Aware Neural Network (PANN) architecture with unipolar and bipolar weight implementations, considering ReLU and photonic sigmoid as candidate activation functions to solve a heartbeat sound classification task. Results indicate that increasing the bitwidths during quantization improves the F1-score. The use of bipolar implementation for weight choice demonstrates better performance. ReLU is identified as a better nonlinearity. Finally, a multi-resolution scenario in the bipolar photonic-sigmoid experiment is evaluated, revealing that incorporating multi-resolution does not enhance the model's generalization ability if the bitwidth for the first layer remains fixed. However, the importance of the highest bitwidth at the NN inputs is highlighted
Multi-dimensional reconciliation encoder with quasi-cyclic LDPC codes on FPGA
No full textInformation reconciliation (IR) is an integral part of classical data post-processing in quantum key distribution (QKD) and often constitutes a performance bottleneck. Due to the low signal-to-noise ratio, continuous-variable QKD systems require a IR scheme, such as multi-dimensional reconciliation (MDR), which is particularly computationally intensive.In this work we present the hardware architecture of an MDR encoder employing Quasi-Cyclic Low Density Parity Check (QC-LDPC) codes. We estimate the required number of flip-flops and the latency of its FPGA implementation. Finally, we investigate the computational bottlenecks and identify solutions to improve the scalability of the proposed implementation.</p
Hardware acceleration for Processing Function Virtualization
No full textThe 5G revolution will shape the telecommunication ecosystem providing high bandwidth and low latency. Moreover, the advent of Network Function Virtualizations (NFVs) will require higher network flexibility to move functions to the edge. Many NFVs are dedicated to data processing at the edge, thus they can be defined as Processing Function Virtualizations (PFVs) that may be accelerated exploiting programmable hardware. This paper proposes a Field Programmable Gate Array (FPGA) pipeline for multi-service chain, enabling dynamic deployment and hardware resources management. Results show the effectiveness of the approach since the pipeline latency remains constant with different input aggregated throughput
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