1,720,966 research outputs found
Adapting UWB AoA estimation towards unseen environments using transfer learning and data augmentation
No full textThis research has partly been funded by Fonds Wetenschappelijk Onderzoek Vlaanderen (FWO) , Belgium through grant number G018522N for the FWO PESSO project
A System Dynamics Approach to Building Team Trust Models: Exploring the Challenges
Full text linkLearner models are one of the most important parts of any tutoring system. Due to the complexity of social systems, it gets more challenging to track personal data and to build a model of learner’s state when dealing with teams. This research suggests leveraging the available literature on team dynamics to make a system dynamics model of teaming. This model will offer a more accurate representation of the complexity involved. An example system dynamics model of team trust is created based on a previous qualitative study of team trust [3]. Its benefits include a holistic understanding of trust structure in teams, the ability to evaluate and predict trust level in teams given current individual states, and providing a testbed to evaluate multiple remedies to team issues. The authors suggest that using this system dynamics (SD) modeling approach with GIFT as the individual learner model is a valuable initial approach to adding full team functionality to GIFT.This is a manuscript of a proceeding published as Amin-Naseri, Mostafa, and Stephen Gilbert. "A System Dynamics Approach to Building Team Trust Models: Exploring the Challenges." In: Pedagogy That Makes A Difference: Exploring Domain-Independent Principles across Instructional Management Research within the ITS Community. Proceedings of a Workshop held during The 12th Annual Conference on Intelligent Tutoring Systems (ITS-2014). 2014, pages 49-55. Posted with permission.</p
Radio resource management for intelligent neutral host (INH) in multi-operator environments
Full text linkIn the era of fifth-generation (5G) cellular networks and beyond, network sharing has emerged as a promising approach to address the escalating demand for spectrum and infrastructure resources. Intelligent Neutral Host (INH) is an advanced network-sharing method facilitated by Open Radio Access Network (O-RAN) capabilities. This paper addresses the challenge of Radio Resource Management (RRM) in a multi-operator, multi-slice scenario. We propose an algorithm based on Q-learning and deep Q-learning, particularly concerning different Physical Resource Block (PRB) types to cater to diverse operator requirements. Implemented as an xApp on the Colosseum platform, our algorithm introduces a dynamic resource allocation strategy that adheres to Service Level Agreement (SLA) constraints and optimizes real-time Key Performance metrics (KPMs), including throughput, buffer occupancy, and PRB utilization. We assess the performance and efficacy of our algorithm in a complex traffic scenario to demonstrate how it effectively allocates resources among operators' slices to satisfy their respective SLA while ensuring optimal resource utilization. The experimental results show that our proposed algorithm can efficiently allocate resources to individual slices while satisfying the SLA. Compared to traditional algorithms, our approach significantly minimizes SLA violations, reducing them to 2.5% for enhanced Mobile Broadband (eMBB) slices and eliminating them entirely for Ultra-Reliable Low-Latency Communications (URLLC) slices
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
Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze
Full text linkTraffic managers strive to have the most accurate information on road conditions, normally by using sensors and cameras, to act effectively in response to incidents. The prevalence of crowdsourced traffic information that has become available to traffic managers brings hope and yet raises important questions about the proper strategy for allocating resources to monitoring methods. Although many researchers have indicated the potential value in crowdsourced data, it is crucial to quantitatively explore its validity and coverage as a new source of data. This research studied crowdsourced data from a smartphone navigation application called Waze to identify the characteristics of this social sensor and provide a comparison with some of the common sources of data in traffic management. Moreover, this work quantifies the potential additional coverage that Waze can provide to existing sources of the advanced traffic management system (ATMS). One year of Waze data was compared with the recorded incidents in the Iowa’s ATMS in the same timeframe. Overall, the findings indicated that the crowdsourced data stream from Waze is an invaluable source of information for traffic monitoring with broad coverage (covering 43.2% of ATMS crash and congestion reports), timely reporting (on average 9.8 minutes earlier than a probe-based alternative), and reasonable geographic accuracy. Waze reports currently make significant contributions to incident detection and were found to have potential for further complementing the ATMS coverage of traffic conditions. In addition to these findings, the crowdsourced data evaluation procedure in this work provides researchers with a flexible framework for data evaluation.This is a manuscript of an article published as Amin-Naseri, Mostafa, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, and Mingyi Hong. "Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze." Transportation Research Record 2672, no. 43 (2018): 34-43. DOI: 10.1177/0361198118790619. Posted with permission.</p
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
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