1,720,954 research outputs found
An evaluation of aerodynamics performance of a moving car with wind turbine system
Get PDFThis study presents a simulation result of an evaluation of the aerodynamic
performance of a moving car with a wind turbine system. Sedan type cars
(approaching the size of Proton Wira car) were modeled using the SolidWork
software and simulation was done by ANSYS FLUENT software. Three car models
with different wind turbine system positions (in front of the front bumper, on top of
the hood and on top of the roof) plus one model without the wind turbine system
were simulated. The study proved that the position of the wind turbine system
installation will change the characteristic of the air flow around the car body and
affects the aerodynamic performance of the car. Extended front bumper of a car is
not significantly affecting the aerodynamics performance of the car. This extended
bumper seems to be the suitable area to install a wind turbine system and the
investigation shows that the aerodynamics performance of the car improved due to
the lower drag coefficient, Cd. Optimum power generation will be based upon the
amount of air velocity the duct system create in order to rotate the blades
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
Egg Defects Detection Using Bidirectional Long Short-Term Memory Network
Get PDFEggs are a vital nutritional resource globally, making their inspection crucial for maintaining quality and ensuring food safety. Motivated by this need, a machine vision system incorporating deep learning techniques was developed to detect egg defects. The machine vision system has a rotating mechanism that allows for comprehensive visualization of the egg surface from various angles, leading to a more accurate assessment. The proposed system leverages deep feature extraction using a pre-trained convolutional neural network and analyses these features with a Bidirectional Long Short-Term Memory (BiLSTM) network. The types of egg defects that this study aimed to detect were bloodstained, cracked and dirty eggs. A total of 400 eggs sample were used with 6 images per egg resulting with a dataset of 2400 images for the proposed deep learning method. The performance evaluation of the model revealed an accuracy of 97.71% in detecting egg defects, with a recall score of 0.9788, a specificity score of 0.9926, a precision score of 0.9770, and a F1 score of 0.9770. Comparisons with other state-of-the-art deep learning and machine learning methods like (SVM, VGG16, YOLOv5) indicate that the proposed model has certain advantages and does not differ much in terms of accuracy for defect detection. The result from this study demonstrates the potential of sequential feature modelling for robust egg defect detection.
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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