1,720,957 research outputs found
Deep Learning Applications in Beyond 5G Mobile Networks
No full textThe thesis is motivated by the evolution of mobile networks needing to match novel applications. Cloud radio access network (C-RAN) is a network architecture that solves power consumption issues, improves scaling, and reduces the operational expenditures for operators. Due to capacity limitations of fronthaul links, C-RAN fails to meet the expectations placed on it in solving the network objectives. Fog radio access network (F-RAN) has been proposed to solve the fronthaul loading. By placing radio processing and caching functionality at the edge nodes latency can be reduced and fronthaul experiences less load, increasing performance gains of the cloud infrastructure.
F-RAN faces multiple issues since the fog access points (FAPs) are a novel addition to the network architecture. FAPs have to communicate with each other to solve optimisation problems and provide a satisfactory quality of service (QoS). Further, compared to the baseband unit (BBU), FAPs are equipped with much smaller caches, so algorithms have to proactively cache content that users would like to access. Due to the stringent low latency requirement set for the future generation of mobile networks, some information cannot be exchanged, thus FAPs have to make assumptions about the global state of the environment. For this reason, the thesis looks at machine learning options, which are known to be able to predict and generalise outcomes based on historical data.
Reinforcement learning (RL) is chosen as it learns from an environment that follows a Markov decision process (MDP). Double deep Q-network (DDQN) is known to be one of the best performers, as it provides convergence guarantees for MDP environments and improved learning stability through the use of experience replay. The thesis uses C-RAN architecture as an environment for a DDQN deployment to control flexible ethernet (FlexE) calendar slot allocation as well as remote unit (RU) load-balancing. The operation of the method is assessed and its performance is compared to auto regressive integrated moving average (ARIMA) algorithm, which uses statistical network information to perform resource allocation for FlexE links.
Assuming information about the global state is unknown, the environment becomes partially observable. This is expected to be the case for F-RAN considering the latency constraints. In a partially observable Markov decision process (POMDP) this leads to uncertainty in making decisions, as the outcomes are perceived as stochastic by the agent. With the goal of maximising the number of users served by multiple FAPs in a POMDP under stringent constraints, DDQN fails to converge to a solution. For this problem, a multi-agent double deep Q-network (MA-DDQN) solution is proposed, in which FAPs exchange information about their experiences after every learning step. The method is tested in a simulated F-RAN environment and its performance is discussed.
While focusing on allocating resources provides satisfactory performance it has been shown to only be a half of the complete solution. Since FAPs are capable of caching data or applications close to the user, controlling what is being cached is equally as important. This makes the problem a capacitated facility location problem (CFLP). A method is proposed that chooses which services to cache in the fog layer in the first step and how to distribute the content to the users in the second step. An algorithm based on MA-DDQN, termed focused batch DDQN (FB-DDQN) is used to solve the optimisation problem of improving the cache hit ratio in the fog layer. FB-DDQN focuses on areas of the state space that the agents know they are uncertain with and requests other agents to share their solutions to similar states, which improves the generalisation of the less knowledgeable agent. The results are compared to the base MA-DDQN algorithm, as well as a RL algorithm that is written for this task
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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