Results 101 to 110 of about 166,259,171 (212)

QoE oriented intelligent online learning evaluation technology in B5G scenario

Digital Communications and Networks
Students' demand for online learning has exploded during the post-COVID-19 pandemic era. However, due to their poor learning experience, students' dropout rate and learning performance of online learning are not always satisfactory.
Mingzi Chen, Xin Wei, Peizhong Xie, Zhe Zhang   +3 more
doaj   +1 more source

Towards Prediction of Immersive Virtual Reality Image Quality of Experience and Quality of Service

Future Internet, 2018
In this article, we evaluate the Quality of Service (QoS) through media impairment levels and device operators’ subjective Quality of Experience (QoE).
Anil Kumar Karembai, Jeffrey Thompson, Patrick Seeling   +2 more
doaj   +1 more source

VRstalls : A Dataset on the QoE of Frame Stalls in 6-DOF VR

, 2022
A dataset has been created from an experiment regarding the subjective Quality of Experience (QoE) in relation to stalling video feeds in interactive 6-Degrees-of-freedom Virtual Reality (6-DOF VR).
Lindero, David,, Zepernick, Hans-Juergen, Chu, Thi My Chinh,, Zepernick, Hans-Juergen,, Lindero, David, Fiedler, Markus, Chu, Thi My Chinh, Kelkkanen, Viktor,, Fiedler, Markus,, Kelkkanen, Viktor   +9 more
core   +1 more source

Adaptive Sensor Node Sleep Scheduling for Quality-of-Experience Enhancement

International Journal of Distributed Sensor Networks, 2016
Focusing on a user's quality-of-experience (QoE) has become important, because of the growing space of sensor-dependent applications and low-cost sensor design.
Mini Mathew, Ning Weng
doaj   +1 more source

On the Incorporation of Quality of Experience (QoE) in Mobile Networks [Elektronisk resurs] : A technical, regulatory and business analysis

, 2017
Mobile operators face a scenario characterised by new challenges such as growing data consumption, a slowdown in subscriber growth and reduced revenues due to the success of OTT providers.
Bohlin, Erik, Martinez Ballesteros, Luis Guillermo,, Markendahl, Jan,, Tollmar, Konrad,   +3 more
core  

Fundamental Relationships for Deriving QoE in Systems [PDF]

, 2019
In the context of subjective user studies conducted to derive relationships between influence factors and QoE, user diversity leads to distributions of user scores for test conditions.
Varela, Martin, Martin Varela, Lea Skorin-Kapov, Skorin-Kapov, Lea, Heegaard, Poul Einar, Hossfeld, Tobias, Tobias Hosfeld, Poul E. Heegaard   +7 more
core   +1 more source

Mapping Quality of Service and Quality of Experience to Public Bike Systems – An Empirical Case of New Taipei YouBike

Promet (Zagreb)
Customer service and riding experience are crucial for the success of public transportation systems. This study utilises operational data from a public bike program to develop a quality of service (QoS) model, which involves constructing a dataset of ...
Chih-Lin CHUNG, Chen-Hao YUE, Chi-Chung TAO   +2 more
doaj   +1 more source

QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm

International Journal of Intelligent Networks
Mobile Edge Computing (MEC) enhances service quality by decentralizing computational resources to network edges, thereby reducing latency and improving Quality of Service (QoS). However, the spatial distribution of edge servers critically impacts network
Jinxiang Sha, Jintao Wu, Mingliang Wang, Yonglin Pu, Sheng Lu, Muhammad Bilal   +5 more
doaj   +1 more source

Client-driven network-level QoE fairness for encrypted 'DASH-S'

, 2016
Adaptive video streams, when competing behind a bottleneck link, generate flows that lead to instability, under-utilization, and unfairness. Recent studies suggest there is also a negative impact on users' perceived quality of experience as a consequence.
Chen, Junyang, Rodrigo Fonseca, Ammar, Mostafa, Junyang Chen, Fayed, Marwan, Fonseca, Rodrigo, Mostafa Ammar, Marwan Fayed   +7 more
core   +1 more source

Privacy Preserving QoE Modeling using Collaborative Learning

, 2019
Machine Learning (ML) based Quality of Experience (QoE) models potentially suffer from over-fitting due to limitations including low data volume, and limited participant profiles. This prevents models from becoming generic.
Ickin, Selim,, Vandikas, Konstantinos,, Fiedler, Markus,   +2 more
core   +1 more source