Results 91 to 100 of about 33,160 (233)

Survey on differential estimators for 3d point clouds

Computer Graphics Forum, EarlyView.
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger, Thibault Lejemble, David Coeurjolly, Loïc Barthe, Nicolas Mellado   +4 more
wiley   +1 more source

Automated Modal Analysis Using Stochastic Subspace Identification and Field Monitoring Data

Applied Sciences
The accurate identification of modal parameters is essential for structural health monitoring (SHM), as it provides critical insights into the presence of damage or degradation within the structure.
Shieh-Kung Huang, Zong-Zhi Lai, Hoong-Pin Lee, Yen-Yu Yang   +3 more
doaj   +1 more source

Online Intelligent Identification of Modal Parameters for Large Cable-Stayed Bridges

Shock and Vibration, 2020
Realizing online intelligent identification of bridge modal parameters requires not only the adaptive decomposition of structural response signals but also the enforcement of the automatic identification of modal parameters. Therefore, in this paper, the
Peng Wen, Inamullah Khan, He Jie, Chen Qiaofeng, Yang Shiyu   +4 more
doaj   +1 more source

A Genetic Algorithm Procedure for the Automatic Updating of FEM Based on Ambient Vibration Tests

Sensors, 2020
The dynamic identification of the modal parameters of a structure, in order to gain control of its functionality under operating conditions, is currently under discussion from a scientific and technical point of views.
Francesca Bianconi, Georgios Panagiotis Salachoris, Francesco Clementi, Stefano Lenci   +3 more
doaj   +1 more source

Stochastic Optimization of PCA with Capped MSG [PDF]

, 2013
We study PCA as a stochastic optimization problem and propose a novel stochastic approximation algorithm which we refer to as "Matrix Stochastic Gradient" (MSG), as well as a practical variant, Capped MSG.
Arora, Raman, Cotter, Andrew, Srebro, Nathan   +2 more
core  

Decoherence times of universal two-qubit gates in the presence of broad-band noise

, 2011
The controlled generation of entangled states of two quantum bits is a fundamental step toward the implementation of a quantum information processor.
A D'Arrigo, A Mastellone, Abramowitz M, Bouchiat V, Cohen-Tannoudji C, Cortez J L M, D'Arrigo A, E Paladino, Falci G B Altshuler A Tagliacozzo V Tognetti, G Falci, Nguyen F, Nielsen M, Nägele P, Paladino E, Schlichter C P, van den Brink M A   +15 more
core   +1 more source

Establishing Shape Correspondences: A Survey

Computer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Ambient Vibration Testing for Story Stiffness Estimation of a Heritage Timber Building

The Scientific World Journal, 2013
This paper investigates dynamic characteristics of a historic wooden structure by ambient vibration testing, presenting a novel estimation methodology of story stiffness for the purpose of vibration-based structural health monitoring.
Kyung-Won Min, Junhee Kim, Sung-Ah Park, Chan-Soo Park   +3 more
doaj   +1 more source

Visual Ensemble Analysis With Deep Learning Prediction for Studying the Effect of Tissue Properties on Radiofrequency Ablation

Computer Graphics Forum, EarlyView.
We present an interactive visual analysis tool to study how patient‐specific tissue properties influence radiofrequency ablation outcomes. Using a deep‐learning surrogate model, we predict ablation volumes for unseen parameter settings with accuracy superior to interpolation, supporting improved treatment planning. Abstract Radiofrequency (RF) ablation
R. Sabbagh Gol, M. Evers, K. Heimes, T. Gerrits, S. Gyawali, D. Sinden, T. Preusser, L. Linsen   +7 more
wiley   +1 more source

Fast Multi-Order Stochastic Subspace Identifi cation

, 2010
Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis (OMA), where modal parameters are estimated from measured vibrational data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown and ...
Döhler, Michael, Mevel, Laurent
openaire   +2 more sources