1,721,021 research outputs found
Performance analysis of adaptive lattice filters for impulsive signals
No full textThe existence of impulsive signals with alpha-stable non-Gaussian distributions has already been reported in some applications. In this paper, a new adaptive lattice algorithm is proposed for adaptive filtering of alpha-stable AR processes. The performance of this algorithm is compared to that of other stochastic gradient-based algorithms for stable AR processes for different alpha's. It is shown that the proposed algorithm achieves a superior convergence speed with respect to the other algorithms
A new approach to pitch and voicing detection through spectrum periodicity measurement
No full textA new method for detecting pitch and voicing information of speech with a high accuracy is addressed. The method is based on a novel approach to using the concept of Instantaneous Frequency (IF). In this method. an IF estimation technique in frequency domain is employed to expose harmonic structure of the signal using a periodicity measure. This measure is based on the flatness of the IF, which describes the spectrum periodicity within a certain frequency band where the pitch harmonics are most likely found. The flatness measurement also yields voicing: information extracted using an auto-thresholding technique. The proposed method was evaluated through comparison with cepstral pitch and voicing detection considering accuracy and reconstructed speech quality
An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization
No full textInternet of Drones (IoD) formation offers a wide variety of applications in military and civilian environments. In highly congested terrain, dynamic and static obstacles have a critical impact on IoD performance. One of the critical challenges in IoD missions is avoiding obstacles for successfully and safely completing their tasks. The limited flight time of a drone is another challenge. Thus, IoD has to be provided by an intelligent and accurate energy-efficient collision avoidance algorithm in which IoD paths are modified online to guarantee drones safety. This paper presents an energy-efficient strategy to avoid static and dynamic collisions with minimum energy required for drones to reach their destinations safely. We develop a novel algorithm to avoid multiple static and dynamic obstacles of different sizes within a limited detection range with energy consumption minimization. To do so, the gradient-based approach is utilized in the proposed algorithm for fast and quick convergence. Furthermore, the proposed algorithm allows drones to be in hovering or backtracking states; or they can fly vertically in other cases. More importantly, the results validate the efficiency and accuracy of the proposed algorithm in a dense environment that involves high collision risk with obstacle relative speed up to 10 meters/sec.The authors would like to acknowledge the support of the departments of the computer engineering and elecrical engineering at King Fahd University of Petroleum and Minerals for this work. The work was partially funded by DSR under project SB151001
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
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