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The profile of suspended silicon nitride thin films patterned with one-dimensional subwavelength grating structures is investigated using Atomic Force Microscopy. We first show that the results of the profilometry can be used as input to…

Mesoscale and Nanoscale Physics · Physics 2021-02-18 Ali Akbar Darki , Alexios Parthenopoulos , Jens Vinge Nygaard , Aurélien Dantan

Photoelastic force imaging is an experimental technique whereby a birefringent granular material is imaged with a polariscope to characterize the internal stress state of a granular material. Photoelasticimetry is the only proven…

A program is underway to develop liquid-hydrogen energy absorbers for ionization cooling of muon-beam transverse emittance. Minimization of multiple-scattering-induced beam heating requires thin windows. The first window prototype has been…

Ramp compression experiment are used to deduce the relation between compression and normal stress in a material, by measuring how a compression wave evolves as it propagates through different thicknesses of the sample material. The…

Computational Physics · Physics 2019-02-25 Damian C. Swift , Dayne E. Fratanduono , Evan A. Dowling , Richard G. Kraus

This work develops a polygonal finite element method (PFEM) for the analysis of steady-state and transient thermal stresses in two dimensional continua. The method employs Wachspress rational basis functions to construct conforming…

Numerical Analysis · Mathematics 2025-04-23 Yang Yang , Mingjiao Yan , Zongliang Zhang , Dengmiao Hao , Xuedong Chen , Weixiong Chen

Atomic Force Microscope images of a crack intersecting the free surface of a glass specimen are taken at different stages of subcritical propagation. From the analysis of image pairs, it is shown that a novel Integrated Digital Image…

Classical Physics · Physics 2015-05-18 Kun Han , Matteo Ciccotti , Stéphane Roux

Photoelectron spectroscopy (PES) and microscopy are highly demanded for exploring morphologically complex solid-gas and solid-liquid interfaces under realistic conditions, but the very small electron mean free path inside the dense media…

Fast identification methods of pressure sensors are investigated. With regard to a complete accurate sensor parameter identification two different measurement methods are combined. The approach consists on one hand in performing static…

Other Computer Science · Computer Science 2008-02-22 S. Michael , S. Kurth , J. Klattenhoff , H. Geissler , S. Hering

Hot electron effects in graphene are significant because of graphene's small electronic heat capacity and weak electron-phonon coupling, yet the dynamics and cooling mechanisms of hot electrons in graphene are not completely understood. We…

Speeding up the data acquisition is one of the central aims to advance tomographic imaging. On the one hand, this reduces motion artifacts due to undesired movements, and on the other hand this decreases the examination time for the…

Numerical Analysis · Mathematics 2015-01-20 Michael Sandbichler , Felix Krahmer , Thomas Berer , Peter Burgholzer , Markus Haltmeier

This study presented a type of image processing code which is used for sharpening photoelastic fringe patterns of transparent materials in photoelastic experiences to determine the stress distribution. C-Sharp software was utilized for…

Materials Science · Physics 2015-01-12 Seyedmeysam Khaleghian , Anahita Emami , Nasser Soltani

A new concept of micromachines has been developed for measuring the mechanical properties of thin metallic films. The actuator is a beam undergoing large internal stresses built up during the deposition process. Al thin films are deposited…

Other Computer Science · Computer Science 2007-11-29 D. Fabrègue , Nicolas André , T. Pardoen , J. P. Raskin

Knowledge of the state of plastic deformation in metallic structures is vital to prevent failure. This is why non-destructive acoustic tests based on the measurement of first order elastic constants have been developed and intensively used.…

We propose a new method for testing antenna arrays that records the radiating electromagnetic (EM) field using an absorbing material and evaluating the resulting thermal image series through an AI using a conditional encoder-decoder model.…

Machine Learning · Computer Science 2021-11-30 Hans Hao-Hsun Hsu , Jiawen Xu , Ravi Sama , Matthias Kovatsch

Conventional photoelastic methods are largely limited to two-dimensional stress visualization, leaving a gap in techniques that can capture three-dimensional force interactions with high sensitivity at low stress levels, a capability that…

Applied Physics · Physics 2025-11-18 Dhiraj K. Singh

Stress is one of the main issues of nowadays lifestyle. If it becomes chronic it can have adverse effects on the human body. Thus, the early detection of stress is crucial to prevent its hurting effects on the human body and have a…

Machine Learning · Computer Science 2024-10-17 Yasin Hasanpoor , Bahram Tarvirdizadeh , Khalil Alipour , Mohammad Ghamari

Steganalysis as a method to detect whether image contains se-cret message, is a crucial study avoiding the imperils from abus-ing steganography. The point of steganalysis is to detect the weak embedding signals which is hardly learned by…

Multimedia · Computer Science 2022-03-25 Hai Su , Meiyin Han , Junle Liang , Songsen Yu

Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create cheap, convenient and…

Medical Physics · Physics 2019-01-03 Youngjun Cho , Simon J. Julier , Nadia Bianchi-Berthouze

Electrocardiogram (ECG) has been widely used for emotion recognition. This paper presents a deep neural network based on convolutional layers and a transformer mechanism to detect stress using ECG signals. We perform leave-one-subject-out…

Signal Processing · Electrical Eng. & Systems 2021-08-24 Behnam Behinaein , Anubhav Bhatti , Dirk Rodenburg , Paul Hungler , Ali Etemad

Despite their continued popularity, categorical approaches to affect recognition have limitations, especially in real-life situations. Dimensional models of affect offer important advantages for the recognition of subtle expressions and…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Vassilios Vonikakis , Stefan Winkler
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