130,382 research outputs found
Association rule mining for the usability of the CAPTCHA interfaces: a new study of multimedia systems
No full textThis paper presents an analysis of the CAPTCHA interfaces in terms of their usability to Internet users. The usability is represented by the time needed to the users for finding a solution to the CAPTCHA, which is called response time. Specifically, the analysis is focused on four examples of text and image-based CAPTCHA. The aim is to study the cognitive factors influencing the Internet users in finding a solution to these four CAPTCHA types. Accordingly, an experiment is conducted on 100 Internet users, characterized by demographic factors, such as age, gender, Internet experience, and education level. Each user is asked to solve the four CAPTCHA types, and the response time for each of them is registered. Collected data including demographic factors and response time is subjected to association rule mining, using the FP-Growth algorithm for extracting the association rules. They show the dependence of the response time on the co-occurrence of the demographic factors. Also, an additional statistical analysis is performed using the nonparametric one-way Kruskal Wallis’ test. Experiments comparing the proposed method with the earlier studies of the CAPTCHA usability show the novelty of the method for the understanding of usability of CAPTCHA interfaces, which is based on the cognitive factors that influence the response time
The CAPTCHA Samples Website
No full text"CAPTCHA Samples" is a new website for testing different types of CAPTCHA specifically designed for research and study purposes
alphabets.pdf
No full textMacedonian Cyrillic and Serbian Cyrillic alphabets for the paper by title: "An approach to the language discrimination in different scripts using adjacent local binary pattern" D. Brodic, A. Amelio, Z. N. Milivojevic, in Journal of Experimental and Theoretical Artificial Intelligence, Taylor&Francis, 2016
Data-driven weathering layer statics for hardrock imaging: Solutions based on first-breaks and surface waves
No full textSeismic methods are routinely used for hardrock imaging and mineral-exploration purposes. However, hardrock seismic data requires careful processing, where weathering layer - refraction static corrections have shown to be of great importance for successful imaging. In our study, six differently obtained data-driven weathering layer static solutions are analyzed and compared using a seismic dataset from a mining site in Sweden. Three of the six approaches utilize first-breaks and are based on (1) the standard refraction-inversion method (RI), (2) the application of the RI after adding additional first-breaks via supervirtual seismic interferometry (SVSI), and (3) a tomography-based static solution (Tomostatics). The other three approaches employ surface-waves and are based on (4) the direct transformation of SW dispersion curves, (5) joint inversion of dispersion curves as well as first-breaks and (6) surface-wave tomography. All tested methods were successful in enhancing coherency of the main ore body reflection. A crosscutting reflection can also be seen following the first-break based refraction statics, with highest coherency seen after the application of the SVSIenhanced RI refraction statics. The examples presented suggest that these methods can be complementary and in the absence of notable first-breaks, surface waves can be utilized to estimate weathering layer static corrections
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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