Results 91 to 100 of about 167,765,137 (212)
VRstalls : A Dataset on the QoE of Frame Stalls in 6-DOF VR
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, +9 more
core +1 more source
Adaptive Sensor Node Sleep Scheduling for Quality-of-Experience Enhancement
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
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 +3 more
core
Fundamental Relationships for Deriving QoE in Systems [PDF]
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 +7 more
core +1 more source
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 +2 more
doaj +1 more source
QoE-aware edge server placement in mobile edge computing using an enhanced genetic algorithm
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 +5 more
doaj +1 more source
Privacy Preserving QoE Modeling using Collaborative Learning
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, +2 more
core +1 more source
Client-driven network-level QoE fairness for encrypted 'DASH-S'
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 +7 more
core +1 more source
Quality of experience and quality feedback
ICT solutions have penetrated all areas of our daily lives. With the advent of Internet as well as broadband, wireless and mobile access, increasingly many applications rely upon communication capabilities, e.g.
Fiedler, Markus
core
Cross-layer optimisation of quality of experience for video traffic [PDF]
Realtime video traffic is currently the dominant network traffic and is set to increase in volume for the foreseeable future. As this traffic is bursty, providing perceptually good video quality is a challenging task.
Qadir, Qahhar Muhammad
core

