Cloud business models and sustainability: impacts for businesses and e-research [PDF]
, 2010 This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models.
De Roure, David +5 more
core +9 more sources
Point cloud geometry compression using neural implicit representations [PDF]
, 2023 openIn recent years, the increasing prominence of 3D point clouds in various applications has led to an escalating need for efficient storage and transmission methods.
MOTAMENI, AMIRHOSSEIN
core
Agent-based Cloud service composition [PDF]
, 2013 Service composition in multi-Cloud environments must coordinate self-interested participants, automate service selection, (re)configure distributed services, and deal with incomplete information about Cloud providers and their services.
Sim, Kwang Mong +1 more
core +1 more source
Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
Sensors, 2023 This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds.
Emil Dumic, Luis A. da Silva Cruz
doaj +1 more source
MoTI: A Multi-Stage Algorithm for Moving Object Identification in SLAM
Sensors, 2023 Simultaneous localization and mapping (SLAM) algorithms are widely applied in fields such as autonomous driving and target tracking. However, the effect of moving objects on localization and mapping remains a challenge in natural dynamic scenarios.
Changqing Hu +4 more
doaj +1 more source
Advancing Research Infrastructure Using OpenStack [PDF]
, 2013 Cloud computing, which evolved from grid computing, virtualisation and automation, has a potential to deliver a variety of services to the end user via the Internet.
Pulley, Carl +11 more
core +1 more source
Improving Urban Point Cloud Classification Using Dynamic Local Context-Based Point Confidence [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesUrban mapping for planning and monitoring requires high-resolution spatial data, especially in areas with high landcover diversity. Airborne LiDAR Scanning (ALS) provides accurate 3D point cloud data, but its classification remains challenging due to ...
J. Vijaywargiya, A. M. Ramiya
doaj +1 more source
Academic Cloud computing research : five pitfalls and five opportunities [PDF]
, 2015 Date of Acceptance: 25/04/2014This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic
Varghese, Blesson +3 more
core +2 more sources
Point Cloud Action Recognition Method Based on Masked Self-Supervised Learning [PDF]
Jisuanji kexue yu tansuoPoint cloud action recognition methods can provide precise 3D motion monitoring and recognition services, with broad application prospects in fields such as intelligent interaction, intelligent security, and medical health. Existing methods typically use
HE Yundong, LI Ping, PING Chenhao
doaj +1 more source
Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry
Applied Sciences, 2020 This paper presents a study of how the performance of LiDAR odometry is affected by the preprocessing of the point cloud through the use of 3D semantic segmentation. The study analyzed the estimated trajectories when the semantic information is exploited
Francisco Miguel Moreno +3 more
doaj +1 more source