1,720,966 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Conversion app for converting images from raw to png format with machine learning
Get PDFV diplomskem delu je prikazan razvoj aplikacije za pretvorbo slik formata RAW v format PNG, pri čemer uporabljamo dva pristopa. Prvi temelji na standardnih algoritmih za pretvorbo slik, drugi pa na strojnem učenju, kar pomeni, da je bil model naučen čim bolj natančno pretvarjati sliko iz enega formata v drugega. Ta aplikacija dobro služi fotografom, ki zajemajo slike v formatu RAW, saj jih lahko na svojem mobilnem telefonu pretvorijo kar na poti. Na koncu sta sledili primerjava in analiza rezultatov za ugotavljanje, kateri postopek prinaša boljše rezultate. Za učenje modela je bilo uporabljenih 16 različnih slik, algoritem pa je bil implementiran s pomočjo knjižnic. Pretvorba z algoritmom je poskrbela za kvalitetnejše slike, vendar je bila pretvorba z modelom včasih hitrejša. Pretvorjene slike so bile primerjane z metrikama PSNR in SSIM ter analizirane.The thesis presents the development of an application for converting images from RAW format to PNG format, using two different approaches. The first approach is based on standard image conversion algorithms, while the second relies on machine learning, meaning that a model was trained to convert images from one format to another as accurately as possible. This application is especially useful for photographers who capture images in RAW format, as it allows them to convert images on the go directly on their mobile phones. In the end, a comparison and analysis of the results were conducted to determine which method yields better results. A total of 16 different images were used to train the model, and the algorithm was implemented using libraries. The algorithm-based conversion produced higher quality images, although the model-based conversion was sometimes faster. The converted images were compared and analyzed using the PSNR and SSIM metrics
Variations on the Author
Get PDF“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
Get PDFWe 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
Lossless raster image compression using genetic algorithm
Get PDFV magistrskem delu je predstavljena uporaba genetskega algoritma za brezizgubno stiskanje rastrskih slik. Poudarek je na kombiniranju genetskega algoritma z različnimi tehnikami stiskanja podatkov, vključno z aritmetičnim kodiranjem, metodo RLE (angl. Run Length Encoding) in Huffmanovim kodiranjem. Podrobno je opisano teoretično ozadje genetskega algoritma in njegovih osnovnih postopkov, kot so selekcija, križanje in mutacija. Prav tako je predstavljena implementacija genetskega algoritma, kodirnika in dekodirnika. Opravljene so bile analize vhodnih parametrov kodeka, stiskanja splošnih in risanih slik, vpliva napovedi genetskega algoritma na stopnjo stiskanja, vpliva pretvorbe barvnega prostora na stopnjo stiskanja ter analiza časovne zahtevnosti. Rezultati so pokazali, da predlagan kodek doseže stopnjo stiskanja primerljivo z izbranimi formati, njegova učinkovitost stiskanja pa se izboljša z uporabo pretvorbe barvnega prostora.The thesis explores the application of a genetic algorithm for lossless compression of raster images. It focuses on integrating the genetic algorithm with various data compression techniques, including arithmetic coding, RLE (Run Length Encoding), and Huffman coding. The theoretical foundations of the genetic algorithm are discussed in detail, covering key processes such as selection, crossover, and mutation. Additionally, the implementation of a genetic algorithm, encoder, and decoder is presented. Analyses were conducted on the codec\u27s input parameters, the compression of general and cartoon images, the impact of the genetic algorithm\u27s prediction on compression rates, the impact of color space conversion on compression rates, and the algorithm\u27s time complexity. The results demonstrate that the proposed codec achieves a compression rate comparable to selected formats, with its efficiency further improving when color space conversion is applied
Comparison of efficiency of image compression algorithms: heif, jpeg2000, png and webp
Get PDFDiplomsko delo analizira učinkovitost štirih formatov za stiskanje slik: PNG, WebP, JPEG2000 in HEIF. Glavni cilj dela je primerjava teh formatov na enakih slikah, da se oceni njihova kakovost po stiskanju, faktor stiskanja ter hitrost stiskanja in razširjanja. Po podrobnem opisu posameznih formatov, delo ponuja analizo in primerjavo rezultatov, pri čemer se HEIF izkaže za najučinkovitejšega v stiskanju, kljub počasnejšem času obdelave. WebP nudi najboljše ravnotežje med učinkovitostjo stiskanja in hitrostjo obdelave, medtem ko se JPEG2000 izkaže za dober kompromis med kakovostjo in faktorjem stiskanja, vendar je počasnejši pri stiskanju in razširjanju.This thesis analyzes the efficiency of four image compression formats: PNG, WebP, JPEG2000 and HEIF. The main objective is to compare these formats using identical images to assess their image quality after compression, compression ratio, and the speed of compression and decompression. Following a detailed description of each format, the thesis offers an analysis and comparison of the results, with HEIF proving to be the most effective in compression despite slower processing times. WebP offers the best balance between compression efficiency and processing speed, while JPEG2000 presents a good compromise between image quality and compression ratio, although it is slower in both compression and decompression
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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