1,720,957 research outputs found
Embedded Electronic System Based on Dedicated Hardware DSPs for Electronic Skin Implementation
No full textAbstractThe effort to develop an electronic skin is highly motivated by many application domains namely robotics, biomedical instrumentations, and replacement prosthetic devices. Several e-skin systems have been proposed recently and have demonstrated the need of an embedded electronic system for tactile data processing either to mimic the human skin or to respond to the application demands. Processing tactile data requires efficient methods to extract meaningful information from raw sensors data.In this framework, our goal is the development of a dedicated embedded electronic system for electronic skin. The embedded electronic system has to acquire the tactile data, process and extract structured information. Machine Learning (ML) represents an effective method for data analysis in many domains: it has recently demonstrated its effectiveness in processing tactile sensors data.This paper presents an embedded electronic system based on dedicated hardware implementation for electronic skin systems. It provides a Tensorial kernel function implementation for machine learning based on Tensorial kernel approach. Results assess the time latency and the hardware complexity for real time functionality. The implementation results highlight the high amount of power consumption needed for the input touch modalities classification task. Conclusions and future perspectives are also presented
FPGA implementation of fixed point CORDIC-SVD for E-skin systems
No full textIn this paper we present a CORDIC based FPGA
implementation of Singular Value Decomposition for real time
tactile information processing. The design is implemented to
handle an arbitrary size two dimensional sensor input matrix.
Besides the accuracy of the computation, implementation results
figure out a relationship between used resources/latency and
input data resolution: for each additional 1 bit input data
resolution in the proposed case study, the average percentage
slice logic utilization increases of 5.9%, and the average
percentage clock cycles increases of 7.68%. This result
demonstrates the necessity of computing the Singular Value
Decomposition with fixed point arithmetic. Otherwise, silicon
area and time delay will increase dramatically
Singular value decomposition FPGA implementation for tactile data processing
No full textEmbedded electronic systems for tactile data
processing capture the attention of recent researchers because of
its importance in many domains. Machine learning based on
tensorial kernel approach has proven its effectiveness in
processing tactile information. Computing tensorial kernel
corresponds to computing the singular value decomposition.
This paper presents an FPGA implementation of singular value
decomposition for tensorial kernel computation. The design is
implemented for an arbitrary m×n matrix with fixed point
arithmetic. The results figure out a tradeoff between the
accuracy of computation and the input data resolution. The
experimental results demonstrate the efficiency of our design by
increasing the accuracy of computation and by providing
comparable results in terms of time latency
Assessment of FPGA Implementations of One Sided Jacobi Algorithm for Singular Value Decomposition
No full textNowadays many application domains require an embedded electronic system for tactile data processing. Our research aims to implement a real time embedded electronic system based on tensorial kernel approach for tactile data processing. Singular value decomposition represents the more computational expensive algorithm for the tensorial kernel approach. This paper presents an assessment of FPGA implementations of one sided Jacobi algorithm for singular value decomposition. Designs are implemented to handle an arbitrary m×n matrix with fixed point arithmetic. The results figure out an efficient implementation suitable for real time embedded applications
Towards integrating intelligence in electronic skin
No full textDue to its very peculiar features, the development of e-skin can be effectively tackled using a holistic approach. Starting from the definition of system specifications, the mechanical arrangement of the skin itself needs to be designed and fabricated together with the electronic embedded system, to move towards aspects such as tactile data processing algorithms and the communication channel interface. In this paper we present the design, the implementation and the results on the way of the development of an electronic skin (e-skin) system based on arrays of piezopolymer transducers. Focus of the paper is on both the development of innovative approaches for tactile information processing and electronic system embedding into the e-skin structure. In particular, Machine Learning technologies can provide a powerful tool to tackle the pattern-recognition problems involved in the tactile sensing framework and the ability of processing data represented as N-th order tensor is the key aspect of the presented research, which can be seen as an application of an existing method (Signoretto et al., 2011). The experimental session compares two different implementations of the ML-based framework, which differ in the learning paradigm adopted, namely SVM and ELM (K-ELM). The effectiveness of the adopted pattern-recognition technologies in the classification of touch modalities has been confirmed by addressing two different binary classification problems in an experiment involving 70 participants. The computational requirements for the hardware implementation of the proposed algorithm together with an overview of what exists in the existing literature are finally discussed
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
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