1,721,008 research outputs found
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
Control of wind angle of wind turbines with artificial neural networks
Full text linkFen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Ana Bilim DalıRüzgâr enerjisini kullanarak elektriğe dönüştüren sistemlerin optimal güç çıkışı vermesi için elektriksel yollarla kontrol edilmesi gerekir. Çeşitli kontrol yöntemleri olmakla beraber buna genel olarak kanat açısı kontrolü denilmektedir. Kanat açısı kontrolü ile değişken hızlı bir rüzgâr türbinin çalışması değişken rüzgâr hızlarında kontrol edilebilir. Kanat açısı kontrolü çeşitli kontrol yöntemleri kullanılarak elde edilebilir. Bu çalışmada geleneksel PID, yapay sinir ağları (YSA) ve Uyarlamalı ağ tabanlı bulanık çıkarım sistemi (ANFIS) kullanılarak kanat açısı kontrolü sağlanmıştır. Yapay sinir ağı yöntemi olarak geri beslemeli ağ kullanılmıştır. Yapılan çalışmada kanat açısı DC servo motor aracılığıyla kontrol edilmiştir. DC servo motor çıkışı kanat açısını vermektedir ve rüzgâr türbini güç katsayısını ayarlamaktadır. Sonuçta ANFIS kontrolör, YSA ile tasarlanan sistemin sonuçlarına yakın olsa da daha iyi sonuçlar vermiştir.Systems that convert wind energy into electricity must be electrically controlled to give optimal power output. Although there are various control methods, this is generally called wing angle control. With pitch angle control, the operation of a variable speed wind turbine can be controlled at variable wind speeds. Pitch angle control can be achieved using a variety of control methods. In this study, pitch angle control was achieved by using traditional PID, artificial neural networks (ANN) and Adaptive network-based fuzzy inference system (ANFIS). Feedback network was used as the artificial neural network method. In the study, the pitch angle was controlled by a DC servo motor. DC servo motor output gives the pitch angle and adjusts the wind turbine power coefficient. As a result, although the ANFIS controller is close to the results of the system designed with ANN, it gave better results
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
Image processing based lesion detection in breast cancer
No full textFen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği Ana Bilim DalıBu çalışmanın amacı, yüksek doğruluk ve düşük hata oranı ile meme tümor bölgesini belirlemektir. Bu çalışmada, TCİA (The Cancer İmaging Archive) veri bankasından alınan 8 kanserli görüntüde, K-ortalama kümeleme ve otsu eşikleme yöntemi kullanılmıştır. Kümeleme işlemi için, sırasıyla TPR (True Positive Rate) 0.89, FPR (False Positive Rate) 0.14, TNR (True Negative Rate) 0.86, FNR (False Negative Rate) 0.10, benzerlik 0.67, doğruluk 0.87, duyarlılık 0.89, hassasiyet 0.86, özgüllük 0.87,F puanı 0.87 bulunmuştur. Otsu için, TPR (True Positive Rate) 0.84, FPR (False Positive Rate) 0.12, TNR (True Negative Rate) 0.89,FNR (False Negative Rate) 0.14,benzerlik 0.73, doğruluk 0.84,duyarlılık 0.84, hassasiyet 0.86,özgüllük 0.87,F puanı 0.84 olarak hesaplanmıştır. Sonrasında 8 görüntüye ek olarak, Kaggle veri bankasından 646 adet görüntü alınarak, 504 eğitim,142 tanesi de test için ayrılmıştır. U-Net yapay sinir ağı mimarisi ile bölge tespiti yapılmıştır. Ağ eğitimi sonucu çıkan tümor bölgesi ile işaretli referans görüntüdeki tümor bölgesi karşılaştırılmıştır.100 Epoch değeri ile, test sonucu %4 kayıp oranı ile %96 doğruluğa ulaşılmıştır. Sonuç olarak, bu kullanılan yöntemlerin tümor tespiti için kullanılabileceği, yapay sinir ağı modelinin en yüksek doğruluğu bulguladığı tespit edilmiştir.The aim of this study is to determine the breast tumor site with high accuracy and low error rate. In this study, K-mean clustering and herbaceous thresholding methods were used in 8 cancer images taken from the TCIA (The Cancer Imaging Archive) data bank. For the clustering process, TPR (True Positive Rate) 0.89, FPR (False Positive Rate) 0.14, TNR (True Negative Rate) 0.86, FNR (False Negative Rate) 0.10, similarity 0.67, accuracy 0.87, sensitivity 0.89, sensitivity 0.86, specificity 0.87, F score 0.87 were found, respectively. TPR (True Positive Rate) 0.84, FPR (False Positive Rate) 0.12, TNR (True Negative Rate) 0.89, FNR (False Negative Rate) 0.14, similarity 0.73, accuracy 0.84, sensitivity 0.84, sensitivity 0.86, specificity 0.87, F score 0.84 were calculated for Otsu. After that, in addition to 8 images, 646 images were taken from the Kaggle data bank, 504 were October for training and 142 were reserved for testing. Region detection was performed with U-Net artificial neural network architecture. The tumor region obtained as a result of network training was compared with the tumor region in the marked reference image.With an Epoch value of 100, the test result was achieved with an accuracy of 96% with a loss rate of 4%. As a result, it has been determined that these methods can be used for tumor detection, and the artificial neural network model has found the highest accuracy
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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