1,720,961 research outputs found
Uzamsal korelasyonları kullanarak eşitsizlik (derinlik) görüntülerini sıkıştıran verimli bir algoritma ve onun düşük maliyetli donanım mimarısı
No full textThis thesis proposes a low-cost Disparity Map (DM) compression algorithm and its hardware architecture for high resolution and high frame rate applications, where limited computational capacity and power consumption make it a significant challenge to run these applications in real-time. The proposed algorithm uses spatial correlations between neighboring disparity values and has two variants. The first variant, Single Neighbor (SN), encodes the current disparity using its left neighbor, whereas the second variant, Multiple Neighbor (MN), benefits from left and upper neighbors. The performance of the proposed algorithm is evaluated on DMs that are obtained using the most common low-cost stereo matching techniques for state of- the-art benchmarks. When evaluating the performance of the proposed compression algorithm, a median filter is applied to smooth out the DMs. After the median filter, the proposed algorithm with respect to original DM sizes, obtains 48% and 56% savings in memory space on the average for its SN and MN variants, respectively. Transferring DMs to the memory within the System-on-Chip (SoC) and transmitting them between SoCs in a compressed format will reduce the memory bandwidth usage and save power. Implementation results show that the proposed architecture can support 1920x1080 resolution at 60 fps on a low-cost FPGA while consuming very low area and power.Bu tezde, Eşitsizlik (Derinlik) Görüntülerini (DM) sıkıştırmak için düşük maliyetli bir algoritmanın yanısıra, yüksek çözünürlük ve yüksek kare hızı gerektiren ugyulamalara uygun bir donanım mimarisi önerilmektedir. Özellikle bu uygulamaların gerçek zamanda çalıştırılabilmesi, hesaplama kapasitesi ve güç tüketimi açısından büyük bir zorluktur. Önerilen algoritma, komşu piksellerin arasındaki uzamsal korelasyonlarını kullanır ve iki varyantı vardır. Tek Komşu (SN), sol komşusunu kullanarak mevcut eşitsizlik değerini kodlarken, ikinci varyant, Çoklu Komşu (MN), sol ve üst komşulardan yararlanır. Önerilen algoritmanın performansı, son model DM veri setine bağlı bir şekilde, yaygın düşük maliyetli stereo eşleştirme teknikleri kullanılarak elde edilen DM'ler üzerinde değerlendirildi. Önerilen sıkıştırma algoritmasının performansını değerlendirirken, DM'leri aşırı gürültüden temizlemek için bir medyan filtresi uygulanır. Medyan filtresinden sonra önerilen algoritma, SN ve MN varyantları için sırasıyla ortalama olarak bellek alanında %48 ve %56 tasarruf elde etmektedir. DM'leri Yonga-üzeri-Sistem (SoC) içindeki belleğe aktarmak ve bunları SoC'ler arasında sıkıştırılmış bir biçimde iletmek, bellek bant genişliği kullanımını azaltacak ve güç tasarrufu sağlayacaktır
An efficient algorithm for disparity map compression based on spatial correlations and its low-cost hardware architecture
No full textThis paper proposes a low-cost disparity map compression algorithm and its hardware architecture for high resolution and high frame rate applications. The proposed algorithm uses spatial correlations between neighboring disparities and has two variants. The first variant encodes the current disparity using its left neighbor, whereas the second variant benefits from left and upper neighbors. The proposed algorithm obtains 48% and 56% savings in memory space on the average for its variants. The proposed architecture can support 1080p resolution at 60 fps on a low-cost FPGA device while consuming very low area and power
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
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