1,720,959 research outputs found
Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach
Get PDFIndustry 4.0 and its innovative technologies (e.g., Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence) represent great promise. Still, com-panies experience hardship when transforming from reactive to predictive manufacturing systems. The latter, driven by data science development, use predictive models to detect and solve production and maintenance issues before they happen. To eliminate the need for large and varied datasets for development of predictive models, in the present research we propose development of real-time predictive models based on small dataset without faulty data. This is achieved by using Mahalanobis-Taguchi system for fault detection in lack of fault data samples, and by using Edge Computing environment which provides higher re-sponsiveness, better security and decreased costs. Subsequently, two predictive models are developed, tested and compared for the case company from process industry (i.e. the vi-nyl-floor industry sector). Finally, recommendations for the industry are provided
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
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
Industry 4.0 Implementation Challenges and Opportunities: A Managerial Perspective
Get PDFIndustry 4.0 is a concept aimed at achieving theintegration of physical parts of the manufacturing process (i.e.,complex machinery, various devices, and sensors) and cyber parts(i.e., advanced software) via networks and driven by Industry 4.0technology categories used for prediction, control, maintenance,and integration of manufacturing processes. Industry 4.0, whichis expected to have a great impact on manufacturing systems inthe future, is attracting attention in both industry and academia.Although academic research on Industry 4.0 is growing exponen-tially, evidence of Industry 4.0 implementation in practice is stillscarce. Moreover, the challenges industry faces when implementingthe Industry 4.0 concept seem to be even less addressed. At the startof the present survey, a preliminary literature review identified alack of comprehensive analysis of the Industry 4.0 implementationchallenges. Thus, the purpose of the present article is to provide anoverview of the reported Industry 4.0 implementation challenges inthe relevant literature by conducting a systematic literature review.Specifically, while the present study differentiates between man-agerial and technological Industry 4.0 implementation challenges,the focus of the present article is on the managerial Industry 4.0implementation challenges. This overview is performed by derivingan inductively coded Industry 4.0 technology framework that clas-sifies Industry 4.0 technologies into ten categories: cyber physicalsystems, Internet of Things, big data analytics, cloud computing, fogand edge computing, augmented and virtual reality, robotics, cybersecurity, semantic web technologies, and additive manufacturing.The present article identifies, codes, and defines the managerialIndustry 4.0 implementation challenges and derives opportunitiesfor overcoming them
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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