1,720,966 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
Study of inverter-induced bearing damage monitoring in variable-speed-driven motor systems
Bearing currents are parasitic phenomenon which is commonly present inmodern inverterdriven motors. At this date the root causes of this phenomenon can be considered as well identified - mainly occurring due to magnetic flux unbalance and high-frequency components of the common-mode voltage. However, the mitigation techniques, that were developed to reduce the negative effect of this phenomenon on the life time of motors, are not yet at the level, where the problem could be resolved with a standardized method. That is mainly due to the prevalence of various bearing current subtypes in different motor size groups and types, and due to the limited ways to retrofit the machinery, that is already in the exploitation.
This work presents the review of state-of-art in diagnostic methods and insight on the physical processes, that occur in presence of bearing currents and cause deterioration of motor life time. The work further reviews and combines the results of the recent research, that focuses on the aspects of diagnosing defects, caused by bearing current using the vibration and radio-frequency based methods. After that, the work presents analytical model, that is aimed as a way to develop new methods of diagnosing the defects, caused by bearing currents. Finally, the model is used to evaluate the vibration analysis techniques, that are commonly used nowadays and to establish their sensitivity to some of the parameters of motor operation.ei tietoa saavutettavuudest
Robust speech recognition for low-resource languages
Process of human-machine interaction is an integral part of everyday human life in a modern world. The various interfaces are intended to facilitate this interaction and provide maximum comfort for users. The speech interface is the most universal, and it can be used in a vast majority of systems. Speech is the main way of communication between people, from this point of view speech interface looks completely natural. Nowadays, human-machine speech interfaces can consist of many complex components in order to implement an interaction with a user. However, a primary element of such interfaces is an automatic speech recognition (ASR) system.
Automatic recognition of spontaneous speech in a telephone channel can be solved very successfully in the presence of significant amount of speech training data, but the collection and processing of such data is a complex, time-consuming and expensive task. Great amount of data is available only for high-resource languages such as English, Spanish, German, Chinese, French, etc. At the same time, there are many languages with no significant amount of training data for ASR systems preparation. Such languages are commonly referred to as low-resource languages. The number of native speakers for such languages can reach tens, and sometimes hundreds of millions of people. Taking this into account, building ASR systems for such languages is an important task.
The main objective main objective of this thesis is the development of universal methodology for robust speech recognition of low-resource languages. To achieve it, we have solved three tasks. First, we have developed a flexible methodology in order to build an ASR system for large vocabulary conversational speech on low-resource languages. Second, we have identified a set of languages representing a wide variety of acoustic and grammatical features that influence on ASR systems. Third, we have conducted experimental studies of the developed universal methodology and compared the accuracy of the resulting ASR systems with the state-of-the-art results.
We have contributed to several key components of the ASR system as part of the first task. We have proposed speaker-dependent bottleneck acoustic features trained with a multilingual approach, to improve acoustic modeling. Besides, a new approach of combining acoustic features has been proposed. In terms of language modeling, we have proposed a new method of text data augmentation with the artificial texts generated by the Char-RNN model. Finally, we have created a universal methodology that combines both existing and proposed methods. This methodology represents a complete pipeline for building ASR systems for low-resource languages.
As a part of the second task, we have identified the most important language features which affect the building process of ASR systems. We have considered such factors as word order, agglutination, inflection, presence of an accent, dialects, and tone. Based on the analysis, we have created a set of low-resource languages that covers the factors described above and several additional features. This set includes eight languages: Georgian, Turkish, Kazakh, Vietnamese, Swahili, Tagalog, Zulu, and Russian.
As a part of the third task, we have conducted large-scale experimental studies. We have identified the most effective basic acoustic features and the training pipeline for initial GMM-HMM models. We have verified proposed multilingual speaker-dependent bottleneck features and confirmed the effectiveness of the delayed combination for acoustic features. We have determined the usefulness of the proposed text data augmentation approach. Moreover, we have found this approach complementary to the addition of filtered web-text data. We have experimented with various neural network-based acoustic models and identified the most effective ones. Finally, we have compared the accuracy of resulting ASR systems with the state-of-the-art results for studied low-resource languages.
We believe that this work will accelerate further research of speech recognition in low-resource languages and make speech recognition systems available for a wide variety of world languages in the near future.Diese Dissertation entstand im Rahmen einer Kooperation mit der Universität ITMO in St. Petersburg. / This dissertation was written in the context of a cooperation with ITMO University in St. Petersburg
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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.
Author-wise bibliometric analysis based on entropy.</p
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