1,720,967 research outputs found
ADAPTIVE ANT COLONY OPTIMIZATION BASED GRADIENT FOR EDGE DETECTION (Vol.7 Issue 2 June 2014)
No full textPengenalan karakter angka menggunakan metode Integral Proyeksi
Full text link Saat ini dengan kemajuan teknologi membuat komputer memiliki kemampuan komputasi yang lebih tinggi untuk meningkatkan kemampuan dalam pengolahan data. Kemajuan teknologi ini juga berimbas pada kemampuan teknologi citra digital yang berhubungan dengan pengenalan karakter angka yang merupakan bagian dari pengenalan pola. Pengenalan karakter penting untuk pengolahan informasi yang memungkinkan proses identifikasi secara cepat dan otomatis. Pada penelitian ini dilakukan proses pengenalan karakter angka menggunakan metode Integral Proyeksi. Alasan menggunakan metode integral proyeksi karena mempunyai kelebihan pemrosesan yang sederhana dan cepat dalam mengidentifikasi suatu citra digital. Integral Proyeksi yang digunakan yaitu Integral Proyeksi vertikal dan Integral Proyeksi horisontal. Hasil penelitian menunjukkan pengenalan karakter angka mampu mengenali karakter dengan benar jika hasil praproses menghasilkan gambar yang baik. Pengenalan karakter angka akan kurang sempurna jika gambar yang diproses tidak baik, hal ini dikarenakan metode Integral Proyeksi bekerja dengan menghitung jumlah piksel tiap gambar untuk mengenai nilai gambar tersebut. Pengujian pengenalan karakater angka yang dilakukan terdapat 20 gambar uji menghasilkan nilai akurasi sebesar 65%. Nowadays with the advancement of technology makes computers have higher computing capabilities to improve the capability of data processing. Advances in technology have also affected the ability of digital image technology related to the introduction of alphanumeric characters that are part of pattern recognition. Character recognition is important for information processing that allows rapid identification process automatically. In this research, numeric character recognition process using integral projection method. Reasons for using integral projection method for processing has the advantage of a simple and quick in identifying a digital image. The integral projection used is vertical projection and horizontal projection. The results showed numeric character recognition could recognize the characters correctly if the results of preprocessing produce good images. The introduction of the characters will be less than perfect if the images are processed is not good, this is because the integral projection method works by counting the number of pixels for each image to the value of the image. Testing the result of recognition from 20 image which is on dataset has been built to get accuracy value about 65%
Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine
No full textAbstract— Leaves recognition can use an image edge detection method. In this research, the classification of mango gadung and manalagi will be performed. In the preprocess stage edge detection method using adaptive ant colony optimization method. The use of adaptive ant colony optimization method aims to optimize the process of edge detection of a mango leaves the bone image. The application of ant colony optimization method on mango leaves classification has successfully optimized the result of edge detection of a mango leaves the bone structure. Results showed edge detection using adaptive ant colony optimization method better than Roberts and Sobel method. The result an experiment of mango leaves classification with k-nearest neighbor method get accuracy value equal to 66,25%, whereas with the method of support vector machine obtained accuracy value equal to 68,75%.Keywords— Edge Detection, Ant Colony Optimization, Classification, K-Nearest Neighbor, Support Vector Machine</jats:p
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
PENERAPAN EKSTRAKSI CIRI STATISTIK ORDE PERTAMA DENGAN EKUALISASI HISTOGRAM PADA KLASIFIKASI TELUR OMEGA-3
Full text linkTelur merupakan makanan yang memiliki gizi tinggi. Dijaman sekarang telah ada telur dengan omega-3 hasil rekayasa. Secara visual untuk membedakan telur ayam biasa dan telur ayam dengan omega-3 sangat sulit karena bentuk fisik dan warna telurnya terlihat sama. Bagian yang membedakan adalah kuning telur omega-3 agak kekuningan dan kuning telur biasa lebih kemerahan. Penelitian ini diciptakan sebuah sistem analis yang mampu mengenali telur berdasarkan tekstur dengan beberapa langkah dalam teknik pengolahan citra. Beberapa teknik pengolahan citra yang digunakan yaitu konversi citra RGB ke grayscale, perbaikan kualitas citra, menghilangkan noise dengan gaussian filter dan analisis citra menggunakan ekstraksi ciri statistik orde pertama dengan nilai parameter mean, standard deviasi. Berdasarkan pengujian diperoleh tingkat precision 87,93%, recall 96,22% dan accuracy 85% berdasarkan 140 data training dan 60 data uji
Adaptive Ant Colony Optimization on Mango Classification Using K-Nearest Neighbor and Support Vector Machine
No full textAbstract— Leaves recognition can use an image edge detection method. In this research, the classification of mango gadung and manalagi will be performed. In the preprocess stage edge detection method using adaptive ant colony optimization method. The use of adaptive ant colony optimization method aims to optimize the process of edge detection of a mango leaves the bone image. The application of ant colony optimization method on mango leaves classification has successfully optimized the result of edge detection of a mango leaves the bone structure. Results showed edge detection using adaptive ant colony optimization method better than Roberts and Sobel method. The result an experiment of mango leaves classification with k-nearest neighbor method get accuracy value equal to 66,25%, whereas with the method of support vector machine obtained accuracy value equal to 68,75%.
Keywords— Edge Detection, Ant Colony Optimization, Classification, K-Nearest Neighbor, Support Vector Machin
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
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