1,720,955 research outputs found
Design of a wireless motor drive system for robotic applications
This dissertation presents the design, simulation, and evaluation of a low-power wireless motor drive system for robotic applications. Traditional motor drives rely on wired connections for power transmission, which impose limitations such as restricted mobility, mechanical wear, and safety risks. This research integrates Wireless Power Transfer (WPT) with Permanent Magnet Synchronous Machines (PMSMs) to develop a wireless motor drive system that eliminates these constraints. The proposed system is analyzed through MATLAB/Simulink simulations, where various WPT compensation topologies are evaluated. Phase Shift Modulation (PSM) is implemented to regulate the DC-link voltage, ensuring stable operation under varying load conditions. The results indicate that the SS and LCC-LCC topologies offer improved voltage stability and operational performance. Key findings show that the SS-compensated system supports loads up to 0.3 Nm at 220 rpm, while the SP topology exhibits limitations be yond 0.2 Nm at 260 rpm. The LCC-LCC topology demonstrates superior volt age regulation. This study successfully demonstrates the feasibility of a wireless PMSM motor drive and highlights potential areas for improvement. Future research could focus on dynamic DC-link voltage control, hybrid capacitive inductive WPT, adaptive compensation techniques, and experimental prototyping to further enhance system efficiency and power transfer capabilities.Master's degre
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
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
On the Analysis and Application of Bio-Inspired Algorithms for Smart Navigation in Mobile Healthcare Robots
In recent years, healthcare robotics has emerged as a promising solution to address the challenges of nurse burnout and shortages, while simultaneously enhancing patient care. Non-contact vitals monitoring has gained significance in reducing the spread of infectious diseases, exemplified by its role during the COVID-19 pandemic. Among various types of healthcare robots, wheeled mobile robots stand out due to their versatility and potential for autonomous navigation. However, achieving efficient and intelligent navigation in dynamic healthcare environments remains a complex problem. This paper examines behavior-based algorithms and evolutionary algorithms, which take inspiration from biological systems and swarm intelligence. Using these algorithms, the aim is to enhance the capabilities of healthcare robots, allowing them to navigate complex environments with ease and efficiency. This study encompasses an evaluation of popular healthcare robots, such as Dr. Spot, a non-contact vitals monitoring robot, and the versatile Temi robot. Through simulations using the Webots platform and the E-puck robot, we compare the performance of behavior-based and evolutionary algorithms. The results conclude the advantages of evolutionary algorithms in static environments. However, their limitations are observed in dynamic settings, where adaptation is crucial. The findings of this research offer guidance for designing and implementing autonomous wheeled mobile robots in real-world healthcare settings, where efficient and safe navigation is vital to ensure quality patient care
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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