1,720,998 research outputs found
Image Similarity between Masked and Unmasked Face for Consumer Electronics Applications
No full textFace recognition has become essential as a convenient biometric-based solution for a plethora of different consumer electronics applications, including access control systems, intelligent environments, smartphone authentication systems and so on. Early in 2020, the COVID-19 pandemic caused the widespread use of face masks, which become essential for containing the outbreak. The masks cause a visible alteration in facial appearance, covering almost the 50% of the human face. In this work, an image similarity technique is applied to assess the difference between two images of the same face wearing or not wearing a face mask. Cosine Similarity measure-based Algorithm (CSA) was used to objectively infer the difficulties that modern facial recognition algorithms, based on deep learning techniques, encounter when dealing with a masked face
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Spatial programming learning: a new application to learn programming
No full textNowadays, computer science programming is a basic subject for obtaining any engineering degree. Three main features characterize the profile of these students: creative, application-orientation, and technical. Thus, when we are teaching programming, at first the level is so basic that students come into the class knowing a bit about programming. Inevitably, most of these students do great in the first few weeks only to fall further and further behind as the course go on. The reason of this is that they went too fast through the introductory part of the course, thinking they knew it all and getting self confidence about what they understood but they rarely associated what they knew to what they had to learn. Perhaps, the most important skill for programming is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. Thus, we distinguish two different goals for programming: problem solving and language structure. The solving problem combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer programs use formal languages to denote ideas. Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems. On the other hand, the language structure refers to the events that happen during this process of learning to program. The student needs to develop different skills such as the syntax, the semantics and he pragmatics of the programming language. Syntax refers to the ways symbols may be combined to create well-formed sentences in the language, while Semantics reveals the meaning of syntactically valid strings in a language. On the other hand, pragmatics alludes to those aspects of language that involve the users of the language; it includes issues such as ease of implementation and programming methodology. Syntax must be specified prior to semantics since meaning can be given only to correctly formed expressions in a language. Similarly, semantics needs to be formulated before considering the issues of pragmatics, since interaction with human users can be considered only for expressions whose meaning is understood. In the current text, we are primarily concerned about the syntax. The goal of this paper is to present a new technique for helping students to develop structure programming skills during their learning process. Due to our experience evaluating programming skills, we have realized that almost a 28% of exam’s programming mistakes are caused because of misplacing programming structures. We strongly believe that helping our students to build some syntax puzzles of solved algorithms could help them to develop a spatial programming learning in order to achieve better results by getting familiar to these structures. Our application can read algorithms and divide them into different pieces. The students must drag the pieces and drop them in a correct way. By doing this, they are developing the spatial way to organize an algorithm when they are programming. It is important to bear in mind that they are not starting the algorithm from zero. Having all the pieces, they must think how the pieces fill correctly based on the information contained inside each piece.5417541
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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