1,720,963 research outputs found
Analisis Pengaruh Tingkat Akurasi Klasifikasi Citra Wayang dengan Algoritma Convolitional Neural Network
Full text linkAbstract – The development of technology is inversely proportional to cultural preservation in Indonesia. One of Indonesia\u27s cultures which creates character through the advice and stories is a puppet. But this culture shows less because the devotees have decreased. This makes young people not knowing the names of puppet figures. The introduction of digital images of puppets through the system is very necessary to introduce to the generation of millennial children, bearing in mind that at this time people are familiar with the technology. This recognition is through the image classification of puppet figures with classification algorithms that have been trained previously with puppet images that have been labeled before. To recognize various puppet figures well, a good model is needed. The quality of the model can be measured by the accuracy, precision, and recall variables in the model testing. Several factors influence the formation of the model, including the rise of the dataset, number of iterations (epoch) in learning, and of course the treatment of data before it is used in the process of forming the model. This study used 400 datasets which are divided into 4 classes which will be trained using CNN (Convolutional Neural Network) algorithm to produce a model. Based on the results of experiments obtained the best accuracy of 97%, 93% precision, and 87% recall by applying a combination of augmentation, changing the image to grayscale in preprocessing stage, the use of 80:20 dataset ratio and 100 epoch is a very significant effect in increasing accuracy.Keywords – Classification, Punakawan Puppets, CNN, Image Processing.  Abstract – Semakin berkembangnya teknologi berbanding terbalik dengan perkembangan pelestarian kebudayaan di Indonesia. Salah satu kebudayaan Indonesia yang bermanfaat membentuk karakter melalui nasihat dan cerita di dalamnya adalah wayang. Akan tetapi kebudayaan ini semakin jarang terlihat pertunjukkannya dikarenakan peminatnya telah berkurang. Hal tersebut mengakibatkan anak-anak muda tidak mengenal nama tokoh-tokoh pewayangan. Pengenalan citra digital tokoh pewayangan melalui sistem sangat diperlukan untuk mengenalkan kepada generasi anak milenial, mengingat saat ini masyarakat telah terbiasa dengan teknologi. Proses pengenalan ini melalui proses klasifikasi citra tokoh wayang dengan algoritma klasifikasi yang telah dilatih sebelumnya dengan data-data citra wayang yang telah diberi label sebelumnya. Untuk dapat mengenali berbagai tokoh wayang dengan baik dibutuhkan model yang baik. Kualitas model dapat diukur dengan variabel akurasi, presisi dan recall pada proses pengujian model. Terdapat beberapa faktor yang mempengaruhi pembentukan model, diantaranya adalah raiso pembagian dataset, jumlah perulangan (epoch) dalam pembelajaran dan tentunya perlakuan terhadap data sebelum digunakan dalam proses pembentukan model. Pada penelitian ini digunakan dataset sebanyak 400 data yang terbagi ke dalam 4 kelas yang akan dilatih menggunakan algoritma CNN (Convolutional Neural Network) untuk menghasilkan model. Berdasarkan hasil percobaan yang dilakukan didapatkan akurasi terbaik sebesar 97%, presisi 93% dan recall sebesar 87% dengan menerapkan kombinasi augmentation, mengubah citra menjadi grayscale pada tahap preproccessing, penggunaan rasio dataset 80:20 dan epoch sebesar 100 sangat berpengaruh signifikan dalam meningkatkan nilai akurasi.Kata kunci – Klasifikasi, Wayang Punakawan, CNN, Pengolahan Citra
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
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
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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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