1,720,953 research outputs found
Intelligenza Artificiale e Fattori Umani: esplorazione di nuovi metodi per l’ergonomia fisica in contesti reali
No full textL'ergonomia fisica rappresenta un aspetto cruciale per garantire il benessere e la
sicurezza dei lavoratori, contribuendo al tempo stesso a migliorare la produttività e la
sostenibilità dei sistemi industriali. L'integrazione dei fattori umani nella progettazione
di macchine, sistemi e ambienti di lavoro è fondamentale, soprattutto alla luce dei
paradigmi dell'Industria 4.0 e 5.0, che mettono al centro la cooperazione tra uomo e
macchina. In questo contesto, le tecnologie emergenti di Motion Capture basate su Deep
Learning offrono nuove possibilità per monitorare e migliorare l'ergonomia dei
lavoratori, riducendo il rischio di disturbi muscoloscheletrici legati al lavoro. Questa
ricerca si concentra sull'analisi e il confronto di due approcci distinti per l'utilizzo delle
tecnologie di Deep Learning nel monitoraggio dell'ergonomia fisica dei lavoratori: un
approccio analitico, che utilizza modelli matematici per calcolare il punteggio
ergonomico a partire dagli angoli articolari, e un approccio induttivo, che sfrutta la
capacità predittiva dei sistemi di Machine Learning per determinare il rischio
ergonomico a partire dai dati osservati. L'approccio analitico è stato implementato e
testato attraverso uno strumento chiamato RGB-MAS, che utilizza telecamere RGB per
monitorare i movimenti dei lavoratori e calcolare gli angoli articolari necessari per
l'analisi ergonomica. I risultati dei test, condotti sia in laboratorio che in un contesto
produttivo reale, dimostrano l'efficacia dello strumento nel fornire una valutazione
accurata del rischio ergonomico, nonostante alcune limitazioni legate alla gestione delle
occlusioni e alla precisione dei dati raccolti. L'approccio induttivo è stato invece
implementato attraverso il sistema iRGB-MAS, che utilizza dataset sintetici per
addestrare modelli di Machine Learning capaci di predire il rischio ergonomico sulla
base delle posture rilevate dalle telecamere. Anche in questo caso, i test condotti hanno
evidenziato una buona accuratezza del sistema, suggerendo la possibilità di utilizzare
l'approccio induttivo per migliorare ulteriormente l'efficacia delle valutazioni
ergonomiche, in particolare in contesti dinamici e complessi. I risultati di questa ricerca
contribuiscono a delineare le potenzialità e i limiti delle tecnologie di Motion Capture
basate su Deep Learning per la valutazione dell'ergonomia fisica, offrendo nuove
prospettive per l'implementazione di soluzioni sostenibili e centrate sull'uomo negli
ambienti di lavoro manifatturieri industriali.Physical ergonomics is a crucial aspect of ensuring the well-being and safety of workers,
while contributing to improving the productivity and sustainability of industrial systems. The
integration of human factors in the design of machines, systems and work environments is
crucial, especially in the light of Industry 4.0 and 5.0 paradigms, which focus on cooperation
between man and machine. In this context, emerging Motion Capture technologies based on
Deep Learning offer new possibilities to monitor and improve workers' ergonomics, reducing
the risk of work-related musculoskeletal disorders. This research focuses on the analysis and
comparison of two distinct approaches for the use of Deep Learning technologies in monitoring
the physical ergonomics of workers: an analytical approach, which uses mathematical models
to calculate the ergonomic score from joint angles, and an inductive approach, which exploits
the predictive capacity of Machine Learning systems to determine ergonomic risk from
observed data. The analytical approach was implemented and tested through a tool called RGB-
MAS, which uses RGB cameras to monitor workers' movements and calculate the joint angles
required for ergonomic analysis. The results of the tests, conducted both in the laboratory and
in a real production context, demonstrate the effectiveness of the tool in providing an accurate
assessment of ergonomic risk, despite some limitations related to the handling of occlusions and
the accuracy of the data collected. The inductive approach was instead implemented through
the iRGB-MAS system, which uses synthetic datasets to train Machine Learning models capable
of predicting ergonomic risk based on the postures detected by the cameras. Again, the tests
conducted revealed a good accuracy of the system, suggesting the possibility of using the
inductive approach to further improve the effectiveness of ergonomic assessments, particularly
in dynamic and complex contexts. The results of this research contribute to outlining the
potential and limitations of Motion Capture technologies based on Deep Learning for the
assessment of physical ergonomics, offering new perspectives for the implementation of
sustainable, human-centred solutions in industrial manufacturing workplaces
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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