1,721,181 research outputs found
VLSI design of a fully-parallel high-throughput decoder for turbo Gallager codes
No full textThe most powerful channel coding schemes, namely those based on turbo codes and low-density parity-check (LDPC) Gallager codes, have in common the principle of iterative decoding. However, the relative coding structures and decoding algorithms are substantially different. This paper presents a 2048-bit, rate-1/2 soft decision decoder for a new class of codes known as Turbo Gallager Codes. These codes are turbo codes with properly chosen component convolutional codes such that they can be successfully decoded by means of the decoding algorithm used for LDPC codes, i.e., the belief propagation algorithm working on the code Tanner graph. These coding schemes are important in practical terms for two reasons: (i) they can be encoded as classical turbo codes, giving a solution to the encoding problem of LDPC codes; (ii) they can also be decoded in a fully parallel manner, partially overcoming the routing congestion bottleneck of parallel decoder VLSI implementations thanks to the locality of the interconnections. The implemented decoder can support up to 1 Gbit/s data rate and performs up to 48 decoding iterations ensuring both high throughput and good coding gain. In order to evaluate the performance and the gate complexity of the decoder VLSI architecture, it has been synthesized in a 0.18 mu m standard-cell CMOS technology
Architectural Implications for Inference of Graph Neural Networks on CGRA-based Accelerators
No full textReconfigurable computing has become very popular in recent years. Among all available architectures, Coarse-Grained Reconfigurable Arrays are the most prominent ones. They permit to efficiently accelerate several classes of data-intensive algorithms without giving up architecture versatility, and their use in machine learning applications is becoming increasingly widespread. In particular, the typical workload of Convolutional Neural Networks fits very well on this kind of architecture. Unfortunately, their use in Graph Neural Networks is not well investigated. Graph Neural Network algorithms apply to use cases that are characterized by non-euclidean data, such as computer vision, natural language processing, traffic forecasting, chemistry, and recommendation systems. In this work, we analyse the most relevant Coarse-Grained Reconfigurable Array devices and Graph Neural Network models. Our contribution includes a comparison between the hardware architectures and their use for the inference of Graph Neural Network models. We highlight their limitations and discuss possible directions that the development of these architectures could take
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Interactions of large scale EV mobility and virtual power plants
No full textThe complex interactions between electric mobility on a large scale with the electric distribution grid constitute a considerable challenge regarding the feasibility, the efficiency and the stability of smart electric distribution grids. On the one hand, the steadily increasing share of decentralized power generation from renewable sources entails a move away from electro-mechanical generators with huge inertia towards systems with distributed small-and medium-scale generators which are coupled to the grid via inverters. On the other hand, large-scale electric mobility which interacts with such a decentralized grid will have a huge impact on the power generation, storage potential and consumption patterns of a grid. Grid infrastructure simulations which take into account the details of these interactions and which are backed by comprehensive demonstrators may help to shed light on crucial aspects of both energy and information exchange between the traffic and the electric energy infrastructure regime. This will be highlighted by selected topics which intend to shed light on the scope and the challenges inherent in this area of simulation
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