1,720,956 research outputs found
Scalable Satellite Handover Management in Non-Terrestrial Networks: A Distributed MADQL Approach
No full textSatellite communications provide means for extending next-generation communication technology to areas beyond terrestrial network coverage. Multiple Low Earth Orbit (LEO) satellites have been deployed in constellations to offer ground users direct Internet connection at any time, place, and condition. However, integrating Non-Terrestrial Networks (NTNs) into terrestrial communication systems presents several challenges, including the management of handover strategies due to the rapid satellite movement. Even if previous studies have explored various approaches to optimize handovers in NTNs, they have often overlooked critical factors, such as user-specific data throughput requirements, limited satellite energy, and the need for dynamic adaptation to real-time network conditions. To address these gaps, this paper proposes a Scalable Multi-Agent Satellite Handover (SMASH) framework based on Distributed Multi-Agent Deep Q-Learning for optimized handover decisions and dynamic satellite selection. SMASH aims to ensure seamless connectivity while effectively managing satellite resources to meet diverse demands. It features an adaptive resource allocation strategy driven by user demands and network conditions, thereby ensuring application-specific Quality of Service requirements. We validate and evaluate SMASH using a satellite network simulator, conducting a comprehensive sensitivity analysis and benchmarking its performance against existing approaches in the literature. The proposed handover technique significantly enhances NTN communication performance by reducing the average number of handovers and optimizing satellite resource allocation,
thereby preventing user blocking. The SMASH framework ensures continuous service delivery by dynamically adapting to fluctuations in both user demand and satellite resource availability
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Distributed Deep Learning Approach for Seamless Handover Management in Non-Terrestrial Networks
No full textSatellite communications play a crucial role in extending next-generation technologies to areas beyond the reach of terrestrial networks. The deployment of Low Earth Orbit satellite constellations aims to provide uninterrupted Internet connectivity to users on the ground, regardless of location or time. However, integrating Non-Terrestrial Networks (NTN) with existing terrestrial systems presents significant challenges, particularly in managing handover strategies due to the rapid movement of satellites. In this study, we propose a Distributed Multi-Agent Deep Q-learning method to optimize handover decisions and dynamically select satellites, ensuring continuous connectivity and efficient resource management. Our solution employs an adaptive resource allocation strategy that adjusts based on user demand and network conditions, maintaining consistent Quality of service levels. We validate and evaluate this approach using a satellite network simulator, demonstrating its robustness and effectiveness. Through comprehensive sensitivity analysis and comparisons with alternative methodologies, our approach is shown to significantly reduce both the number of handovers and the blocking rate. Moreover, by dynamically adapting to fluctuating user demands, our method enhances resource utilization, improving the overall performance of NTN communications and ensuring seamless service continuity
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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