1,720,961 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
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
Risk analysis of low voltage, secondary, power distribution systems
Get PDFLAUREA MAGISTRALELa distribuzione di energia elettrica è una rete complessa che comporta sfide tecniche da un'ampia gamma di fonti, un considerevole grado di rischio e notevoli risorse finanziarie. Le strategie di progettazione e manutenzione devono tener conto del rischio di fallimento dei componenti di distribuzione; cioè, sia la probabilità di fallimento che le sue conseguenze devono essere considerate. I dati storici relativi a guasti e riparazioni sono input essenziali per l'analisi del rischio, poiché riflettono le effettive condizioni operative che il sistema e i suoi componenti hanno subito. L'analisi dei guasti e dei dati di riparazione generalmente mira a ridurre il rischio di fallimento, fornendo informazioni essenziali per la manutenzione e la pianificazione logistica per ridurre la probabilità, nonché le conseguenze, dell'insuccesso. Pertanto, quando si gestiscono e si progettano le reti di distribuzione, è imperativo identificare e quantificare tutti i rischi - finanziari diretti, salute, sicurezza e ambiente (HSE) e reputazione - utilizzando l'errore di campo e i dati di riparazione. Tuttavia, nella maggior parte della letteratura disponibile riguardante l'analisi dei guasti e dei dati di riparazione delle reti di distribuzione, in particolare la distribuzione a bassa tensione, l'insieme dei principi di analisi del rischio non è integrato o, in alcuni casi, non è dettagliato. Lo scopo di questo articolo è quello di proporre una metodologia per l'identificazione di un adeguato strumento di analisi dei guasti per la distribuzione a bassa tensione integrando una serie di principi di analisi del rischio, nonché la stima di affidabilità e manutenibilità. L'applicazione della metodologia proposta è dimostrata da un caso studio reale attraverso una valutazione dei dati sulle interruzioni di corrente.Electric power distribution is a complex network involving technical challenges from a wide range of sources, a considerable degree of risk, and substantial financial resources. Design and maintenance strategies must take account of the risk of failure of distribution components; that is, both the probability of failure and its consequences have to be considered. Historical failure and repair data are essential inputs for risk analysis, since they reflect the actual operational conditions that the system and its components have experienced. Failure and repair data analysis generally aims at decreasing the risk of failure, by providing essential information for maintenance and logistic planning to reduce the probability, as well as the consequence, of failure. Hence, when maintaining and designing distribution networks, it is imperative to identify and quantify all risks – direct financial, health, safety, and environmental (HSE), and reputation – using the field failure and repair data. However, in the majority of the available literature regarding the failure and repair data analysis of distribution networks, especially the low voltage distribution, the set of risk analysis principles is not integrated or in some cases is not detailed. The purpose of this paper is to propose a methodology for identifying a suitable failure analysis tool for low voltage distribution by integrating a set of risk analysis principles, as well as the reliability and maintainability estimation. The application of the proposed methodology is demonstrated by a real case study via an evaluation of the power outages data
Machine Learning-Driven Approaches for Performance Assessment of Critical Infrastructure: UAV-assisted Bridge Inspections, Hazard Identification, Failure Detection, Power Load Forecasting
Get PDFPhD thesis in Risk management and societal safetyThis PhD research explores application of emerging technologies like remotely operated vehicles (ROVs), specifically unmanned aerial vehicles (UAVs) and machine learning (ML), focusing on deep learning (DL) for data collection and data analysis of critical infrastructure systems (CIs), particularly in bridge inspections and power load forecasting. As technological and demographic changes heighten the complexity and vulnerability of CIs, innovative methods for data collection and analysis are essential.
One part of this research investigates hazard identification and risk assessment in bridge inspections utilizing UAVs. The images captured during these inspections are used to develop DL methods, such as mask region-based convolutional neural networks (Mask R-CNNs) and transfer learning techniques for failure detection, specifically crack detection. Empirical validation through case studies of the Grimsøy and Håkenby bridges in Norway illustrates the practical application of UAVassisted bridge inspections. The results indicate that integrating UAVs with advanced DL techniques significantly improves structural failure detection, enhancing prediction accuracy and overall safety.
The second part of the study focuses on time series data related to power load forecasting. This section includes a comparative analysis of the effectiveness of various time series prediction DL models, such as Long Short-Term Memory (LSTM) and Transformers. Additionally, a novel ant colony optimization (ACO) algorithm is developed to optimize the parameters of the multi-head attention layer (MHAL), a main component of Transformers, for power load forecasting. The findings demonstrate notable improvements in power load prediction accuracy and optimized resource allocation within power systems.
Overall, this research highlights how critical infrastructures can benefit from the integration of new technologies and advanced machine learning predictive techniques for effective risk and performance assessment, ultimately enhancing asset management strategies
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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