In this paper, a novel principle of contactless gauge block calibration is presented. The principle of contactless gauge block calibration combines low-coherence interferometry and laser interferometry. An experimental setup combines Dowell interferometer and Michelson interferometer to ensure a gauge block length determination with direct traceability to the primary length standard. By monitoring both gauge block sides with a digital camera gauge block 3D surface measurements are possible too. The principle presented is protected by the Czech national patent No. 302948.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376568 | PMC |
| http://dx.doi.org/10.3390/s120303350 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comparative Evaluation of Clinical Anesthetic Efficacy of 4% Articaine with 24-Gauge Needle in Buccal Nerve Block Compared to 2% Lignocaine with 20-Gauge Needle in Inferior Alveolar Nerve Block in Children with Dentoalveolar Abscess.
Int J Clin Pediatr Dent
November 2024
Department of Public Health, Poornima University, Alwar, Rajasthan, India.
Aims And Background: Local anesthetics play a crucial role in pain management in pediatric dentistry, where anxiety and fear are common among young patients. This study aimed to compare the anesthetic efficacy of 2% lignocaine with a 20-gauge needle in an inferior alveolar nerve block (IANB) and 4% articaine with a 24-gauge needle in a buccal nerve block (BNB) during the extraction of dentoalveolar abscesses in children aged 5-11 years.
Materials And Methods: A 12-month randomized controlled trial involving 100 healthy children was conducted following ethical standards.
Pointer meters recognition method in the wild based on innovative deep learning techniques.
Sci Rep
January 2025
College of Computer and Data Science, Minjiang University, Fuzhou, 350018, China.
This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections, and a modified Convolutional Block Attention Module (CBAM) to detect gauge panels and pointer keypoints in images.
View Article and Find Full Text PDFMeasurement of bone deformation and insertion torque during dental implant installation.
Oral Maxillofac Surg
December 2024
Instituto Militar de Engenharia, Praça General Tibúrcio 80, Urca, Rio de Janeiro, 22290-270, Brazil.
Aim: Insertion of dental implants causes bone deformation and induces residual bone compression stress, which can lead to implant failure if the bone loss threshold is exceeded. The current literature about bone stress is restricted to computer simulations and implant primary stability measurements after installation. This work measures the torque and deformation during implant insertion testing.
View Article and Find Full Text PDFUnlocking Novel Functionality: Pseudocapacitive Sensing in MXene-Based Flexible Supercapacitors.
Nanomicro Lett
December 2024
National Nano Fab Center (NNFC), 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
Extensively explored for their distinctive pseudocapacitance characteristics, MXenes, a distinguished group of 2D materials, have led to remarkable achievements, particularly in the realm of energy storage devices. This work presents an innovative Pseudocapacitive Sensor. The key lies in switching the energy storage kinetics from pseudocapacitor to electrical double layer capacitor by employing the change of local pH (-log[H]) in MXene-based flexible supercapacitors during bending.
View Article and Find Full Text PDFRewording Theoretical Predictions at Colliders with Vacuum Amplitudes.
Phys Rev Lett
November 2024
Instituto de Física Corpuscular, Universitat de València-Consejo Superior de Investigaciones Científicas, Parc Científic, E-46980 Paterna, Valencia, Spain.
We propose multiloop vacuum amplitudes in the loop-tree duality (LTD) as the optimal building blocks for efficiently assembling theoretical predictions at high-energy colliders. This hypothesis is strongly supported by the manifestly causal properties of the LTD representation of a vacuum amplitude. The vacuum amplitude in LTD, acting as a kernel, encodes all the final states contributing to a given scattering or decay process through residues in the on-shell energies of the internal propagators.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!