1,720,961 research outputs found
Penerapan Algoritma Genetika Pada Permasalahan Matematika: Algoritma genetika merupakan salah satu cara mengoptimasi dalam mencari hasil dari suatu permasalahan
No full textAlgoritma genetika merupakan salah satu cara mengoptimasi dalam mencari hasil dari suatu permasalahan. Algoritma terdiri dari fungsi yang harus diselesaikan dengan nilai random awal, yang kemudian dilakukan pertukaran yang disebut mutasi dan crossover. Dalam penyelesaiannya, algoritma genetika mempunyai fungsi rate pada random dan rate kawin silang sehingga tidak semua individu awal hasil random dilakukan pertukaran atau persilangan, serta dapat untuk menyelesaikan permasalahan dalam matematika seperti kuadarat, liner, dan lain lain. Banyak sekali cara atau tool yang tersedia, akan tetapi yang digunakan pada paper ini adalah menggunakan matlab dengan dilakukan secara manual, dalam arti tidak menggunakan tools yang ada sehingga hasil crossover dan mutation serta gen dalam persilangan dapat di ketahui. Perbedaan nilai dalam rate mutasi dan rate crossover sangat berpengrauh dalam penyelesaian pada algoritma genetika, jika nilai rate lebih dari 1, maka dapat menyebabkan banyak individu awal hilang yang berakibat tidak adanya solusi yang ditemukan. Begitu juga dengan popsize, yang merupakan nilai awal yang dihasilkan secara random acak, semakin banyak popsize, maka peluang untuk menyelesaikan sebuah permasalahan menjadi lebih besar
Penentuan Posisi Kamera Terbaik Berbasis Viewpoint Entropy Menggunakan Algoritma Genetika
Full text linkDalam industri film, peran kamera dalam pengambilan gambar sangat
penting. Posisi kamera dapat menentukan hasil dari kualitas gambar yang
diinginkan. Untuk mengoptimal kan posisi dapat dilakukan dengan berbagai
cara, salah satunya menggunakan algoritma genetika. Akan tetapi pengoptimalan
posisi selama ini masih pada lingkungan 2D, sehingga diperlukan informasi
dalam pengoptimalan terhadap objek 3D. Pada penelitian ini difokuskan untuk
menentukan posisi kamera terbaik berbasis viewpoint entropy dengan
menggunakan algoritma genetika. Dalam penelitian ini digunakan sebuah data
3D, dari data tersebut ditransformasi dan diproyeksikan ke kamera. Posisi
kamera dioptimasi dengan menggunakan algoritma genetika, sedangkan posisi
terbaik kamera ketika kamera melihat hasil proyeksi dari objek yang mempunyai
luasan paling besar yang terlihat yaitu yang mempunyai nilai viewpoint entropy
paling maksimum.
==============================================================================
In the film industry, the role of the camera in shooting very important. The position
of the camera can determine the outcome of the desired image quality. To optimize
the right position can be done in various ways, one of which uses a genetic
algorithm. But optimization is still in position for a 2D environment, so that the
necessary information in the optimization of 3D objects. In this study focused on
determining the best camera position based viewpoint entropy using a genetic
algorithm. This study used a 3D data, from these data is transformed and projected
into the camera. The camera position is optimized by using genetic algorithms,
while the best camera position when the camera sees the projection of the object
that has the most visible area that has a value that is the maximum entropy
viewpoint
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
- …
