1,720,974 research outputs found
ANALISIS & PERANCANGAN SISTEM INFORMASI : UNTUK KEUNGGULAN BERSAING PERUSAHAAN & ORGANISASI MODERN
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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
Analysis of Public Opinion Sentiment on Instagram regarding Covid-19 with SVM
No full textPerkembangan teknologi dewasa ini mendorong masyarakat untuk selalu tanggap teknologi, terlebih di era pandemi covid-19 yang selalu mengedepankan social distancing. Media sosial digunakan sebagai suatu alat untuk menyampaikan opini masyarakat kepada khalayak. Dalam penelitian ini, penulis melakukan penelitian tentang opini masyaraat pada media sosial instagram dengan mengguakan Support Vector Machine. Setelah dilakukan uji akurasi dan presisi ternyata SVM belum sesuai digunakan sebagai algoritma yang dapat menangkap urutan karena susunan kata yang dibolak-balik meskipun maknanya berbeda tetap bermakna sama oleh mesin SVM, hal ini dibuktikan juga dengan jumlah akurasi yang kecil.yaitu 59%. Sehingga diperlukan langkah untuk bisa diteliti dengan algoritma lain misalnya algoritma HRRN (Highest Response Ratio Next) atau LSTM (Long Short-Term Memory) yang memperhatikan urutan dan proses dengan rasio respon paling tinggi. Jika berdasarkan pendekatan ekstraksi fitur SVM dengan pendekatan count vector, tf-idf word level, tf-idf ngram level dan tf-idf char level. Dalam skenario ini nilai akurasi tertinggi terdapat pada perhitungan dengan menggunakan ekstraksi fitur count vector dan tf-idf ngram level
Pengaruh Dimensi Gambar pada Klasifikasi Motif Batik Menggunakan Convolutional Neural Network
Full text linkAbstract – Indonesia is a country with many fascinating cultural assets. Batik is one of the most beautiful cultural assets that should be preserved. Batik existed with many motifs and styles and has been a significant cultural cloth for many regions spread along the Java island. This research proposed the computation for identifying three popular motifs and styles: megamendung, kawung, and parang. This research employed a Convolutional Neural Network classifier to identity those three popular batik motifs. This research used an image size of 64x64, 128x128, and 256x256 for the input images, and the influence of the size or dimension for these inputs have been analyzed. The final result showed that the highest accuracy is reached at 92.85 % on epoch = 240 and batch size = 5.Keywords  - Batik, Convolutional Neural Network, Accuracy, Dimension Abstrak - Banyak budaya di Indonesia yang masih menjadi kebanggan dan dijaga kelestarian nya. Salah satunya adalah batik. Jika berbicara tentang batik sekilas kita mengingat tentang berbagai macam motif yang dimiliki yang tersbar di Indonesia terutama di pulau Jawa. Pada penelitian kali ini motif batik yang diteliti adalah batik megamendung,batik kawung dan batik parang. Alasan pemilihan ketiga motif tersebut karena ketiga motif tersebut sangat diminati oleh khalayak ramai(Populer) , dan ketiga motif tersebut memliki makna tersendiri yang sangat mewakili masyarakat Indonesia. Tujuan dari klasifikasi batik adalah untuk mengetahui keakuratan akurasi motif batik khusus nya motif batik kawung,megamendung, dan parang. Fokus pada penelitian ini  adalah penggunaan dimensi gambar yang dapat mempengaruhi akurasi yang dihasilkan. Dimensi yang digunakan adalah 64x64,128x128, dan 256x256. Akurasi yang dihasilkan dengan menggunakan metode Convolutional Neural Network yang paling tinggi yaitu 92,85% dengan menggunakan epoch= 240 dan batch_size=5.Kata Kunci - Batik, Convolutional Neural Network, Akurasi, Dimens
Penentuan Marker untuk Mempermudah Motion Tracking dalam Video
Full text linkIn the motion tracking is required a marker that will be easier to process this motion tracking, marker certainly has a shape, size and position that will help facilitate the process of this motion tracking. In this research will be done shooting a scene with an experiment with 3 types of marker form and each marker has 5 different sizes, then the results of the taking will be analyzed. From the results of the analysis will get the results of numbers that will show the highest number for what markers with what size can help the process of motion tracking, as well as position marker where the most frequently appear on the results of the marker position analysis later. This can be seen from the results of software analysis that will be used later.
Keyword : CGI, marker , motion trackin
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