1,721,013 research outputs found
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
Parallel artificial neural network approaches for detecting the behaviour of eye movement using cuda software on heterogeneous cpu-gpu systems
No full textEye movement behaviour is related to human brain activation either during
asleep or awake. The aim of this paper is to measure the three types of eye
movement by using the data classification of electroencephalogram (EEG)
signals. It will be illustrated and train using the artificial neural network (ANN)
method, in which the measurement of eye movement is based on eye blinks close
and open, moves to the left and right as well as eye movement upwards and
downwards. The integrated of ANN with EEG digital data signals is to train the
large-scale digital data and thus predict the eye movement behaviour with stress
activity. Since this study is using large-scale digital data, the parallelization of
integrated ANN with EEG signals has been implemented on Compute Unified
Device Architecture (CUDA) supported by heterogeneous CPU-GPU systems. The
real data set from eye therapy industry, IC Herbz Sdn Bhd was carried out in order
to validate and simulate the eye movement behaviour. Parallel performance
analyses can be captured based on execution time, speedup, efficiency, and
computational complexity
Variations on the Author
No full text“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
Parallel computing of numerical schemes and big data analytic for solving real life applications
No full textThis paper proposed the several real life applications for big data analytic using parallel computing
software. Some parallel computing software under consideration are Parallel Virtual Machine,
MATLAB Distributed Computing Server and Compute Unified Device Architecture to simulate the big
data problems. The parallel computing is able to overcome the poor performance at the runtime,
speedup and efficiency of programming in sequential computing. The mathematical models for the
big data analytic are based on partial differential equations and obtained the large sparse matrices
from discretization and development of the linear equation system. Iterative numerical schemes are
used to solve the problems. Thus, the process of computational problems are summarized in parallel
algorithm. Therefore, the parallel algorithm development is based on domain decomposition of
problems and the architecture of difference parallel computing software. The parallel performance
evaluations for distributed and shared memory architecture are investigated in terms of speedup,
efficiency, effectiveness and temporal performance
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
Numerical analysis of spray-dic modeling for fruit concentration drying process into powder based on computational fluid dynamic
No full textThe drying process is most popular preservation methods. It is important in producing the powder and natural dye by concentration fruit drying. Spray-DIC is one of the concentration techniques for drying process using the nozzle flow application in computational fluid dynamic. The mathematical modeling for drying process in this paper includes mass conservation and energy conservation of fruit concentration based on partial differential equation. The discretization of mathematical model will use the finite difference method with the initial and boundary conditions of nozzle flow application. The mathematical modeling computes numerical in sequential algorithm. Jacobi and Gauss-Seidel scheme will use to solve the linear system of mathematical modeling. The execution time, no of iteration, accuracy, root mean square error and maximum error are measured for investigating the numerical analysis. The results show the Gauss Seidel method is the alternative method compared to Jacobi method for solving the Spray-DIC modeling
Sequential algorithm and numerical analysis on mathematical model for thermal control curing process of thermoset composite materials
No full textTo reproduce and improve the efficiency of waste composite materials with consistence and high quality, it is important to tailor and control their temperature profile during curing process. Due to this phenomenon, temperature profile during curing process between two layers of composite materials, which are, resin and carbon fibre are visualized in this paper. Thus, mathematical model of 2D convection-diffusion of the heat equation of thick thermoset composite during its curing process is employed for this study. Sequential algorithms for some numerical approximation such as Jacobi and Gauss Seidel are investigated. Finite difference method schemes such as forward, backward and central methods are used to discretize the mathematical modelling in visualizing the temperature behavior of composite materials. While, the physical and thermal properties of materials used from previous studies are fully employed. The comparisons of numerical analysis between Jacobi and Gauss Seidel methods are investigated in terms of time execution, iteration numbers, maximum error, computational and complexity, as well as root means square error (RMSE). The Fourth-order Runge-Kutta scheme is applied to obtain the degree of cure for curing process of composite materials. From the numerical analysis, Gauss Seidel method gives much better output compared to Jacobi method
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
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