Results 51 to 60 of about 96,107 (273)

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

AMBIENT SEISMIC NOISE FOOTPRINTS AND SPECTRA IN THE MIDDLE BENUE TROUGH, NIGERIA

Earth Science Malaysia, 2019
Ambient noise was analysed from a two-dimensional (2D) seismic data acquired in the Middle Benue Trough, Nigeria for the purpose of characterizing the ambient seismic noise.
Clifford N. C. Mbachi, Etim D. Uko, Chibuogwu L. Eze, Iyeneomie Tamunobereton -Ari, Dorathy B. Umoetok, Allu A. Umbugdau   +5 more
doaj   +1 more source

Current status of Japanese detectors

, 2007
Current status of TAMA and CLIO detectors in Japan is reported in this article. These two interferometric gravitational-wave detectors are being developed for the large cryogenic gravitational wave telescope (LCGT) which is a future plan for detecting ...
Akira Yamamoto, Akiteru Takamori, Akito Araya, Alessandro Bertolini, Daisuke Tatsumi, Hideki Ishitsuka, Kazuaki Kuroda, Kazuhiro Agatsuma, Kazuhiro Yamamoto, Kimio Tsubono, Koji Arai, Masa-Katsu Fujimoto, Masaki Ando, Masatake Ohashi, Mitsuhiro Fukushima, Miyoki S, Miyoki S, Márka S, Nobuaki Sato, Nobuyuki Kanda, Norichika Awaya, Noriyasu Nakagawa, Ohashi M, Riccardo DeSalvo, Ryutaro Takahashi, Shinji Miyoki, Souichi Telada, Szabolcs Márka, Takakazu Shintomi, Takamori A, Takashi Uchiyama, Takayuki Tomaru, Tomiyoshi Haruyama, Tomomi Akutsu, Toshitaka Suzuki, Toshitaka Yamazaki, Uchiyama T, Virginio Sannibale, Yamamoto K   +38 more
core   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Random noise suppression of seismic data based on CEEMD-MSSA

矿业科学学报
Random noise is one of the common noises in seismic data, which has a direct impact on high-resolution imaging processing and fine interpretation of seismic data. Random noise attenuation methods based on the low-rank hypothesis of seismic data have been
WANG Shubin, LIU Yulin, LI Xiaoli, LIN Peng, GAO Lijun   +4 more
doaj   +1 more source

Research on Deep Convolutional Neural Network Time-Frequency Domain Seismic Signal Denoising Combined With Residual Dense Blocks

Frontiers in Earth Science, 2021
Deep Convolutional Neural Networks (DCNN) have the ability to learn complex features and are thus widely used in the field of seismic signal denoising with low signal-to-noise ratio (SNR).
Zhitao Gao, Zhitao Gao, Song Zhang, Jianxian Cai, Jianxian Cai, Li Hong, Li Hong, Jiangshan Zheng   +7 more
doaj   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

Civil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil, Dimosthenis Kifokeris, Panagiotis Spyridis   +2 more
wiley   +1 more source

Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal preservation and recovery, reasonable processing time with a minimum signal distortion and ...
Javad Mafakheri, Amin Roshandel Kahoo, Rasoul Anvari, Mokhtar Mohammadi, Mohammad Radad, Mehrdad Soleimani Monfared   +5 more
doaj   +1 more source

COVID-19 societal response captured by seismic noise in China and Italy

, 2020
Seismic noise with frequencies above 1 Hz is often called cultural noise and is generally correlated quite well with human activities. Recently, cities in mainland China and Italy imposed lockdown restrictions in response to COVID-19, which gave us an ...
Eilon, Zachary, Ji, Chen, Tanimoto, Toshiro, Xiao, Han   +3 more
core  

On the use of sensitivity tests in seismic tomography [PDF]

, 2016
ACKNOWLEDGEMENTS This work was partly supported by ARC Discovery Project DP120103673 and by the Research Council of Norway through its Centres of Excellence funding scheme, project number 223272.
Rawlinson, N., Spakman, W.
core   +3 more sources